This document summarizes a study on the overexpression of COL11A1 in pancreatic cancer. The study found that:
1) COL11A1 gene expression is significantly higher in pancreatic cancer tissue samples compared to normal and chronic pancreatitis tissues.
2) A newly developed monoclonal antibody that detects proCOL11A1 protein stained cancer-associated fibroblasts in pancreatic cancer but not in chronic pancreatitis or normal tissues, accurately distinguishing between pancreatic cancer and chronic pancreatitis.
3) ProCOL11A1-positive cells expressed markers of mesenchymal, epithelial and stellate cells, indicating an epithelial-to-mesenchymal transition phenotype.
This document discusses research on using cancer stem cells for compound screening. It describes how cancer stem cells can be isolated from tumors and cultured. These cancer stem cells can then be used to test compounds for anti-cancer activity in vitro and validate drug candidates in vivo using xenograft models. Several examples are given of research groups that have pioneered cancer stem cell research in specific cancers like colon and lung cancer. Resources available include cancer stem cell banks, microarrays, and models that can be used to test compounds and better understand cancer stem cell biology.
This paper reports phase II clinical data on galunisertib, a novel small molecule TGF-beta receptor inhibitor in patients with advanced non-operable hepatocellular carcinoma. This poster was presented at ASCO 2016 in Chicago. Results show activity and mild toxicity.
This document summarizes a presentation on new targets and agents for hepatocellular carcinoma. It discusses several new targets including VEGFR, PDGFR, c-MET, FGFR4, TGF-β, and PD-1/PDL1 that are being investigated with new agents. Regorafenib and nivolumab are highlighted as agents that have shown survival benefits in late stage trials for HCC. Other agents discussed include tepotinib as a c-MET inhibitor and galunisertib as a TGF-β inhibitor. Combination approaches are also a focus, including using PD-L1 inhibitors with other agents and combining galunisertib with sorafenib.
This document discusses tumor markers and their use in cancer screening and care. It defines tumor markers as substances produced by tumor cells or other cells in response to tumors that can be detected in blood, fluids, or tissues. The document describes how tumor markers are used to aid in diagnosis, identify cancer type and stage, monitor treatment effectiveness, and screen high-risk populations. It also discusses different types of tumor markers and provides guidance on choosing markers for specific cancer types.
Poster presentation at the 2016 WORLD GASTROINTESTINAL SYMPOSIUM on tepotinib a selective inhibitor of c-MET by S. Faivre, J.-F. Blanc, P. Merle, A. Fasolo, A. Iacobellis, V. Grando, T. Decaens, J. Trojan, E. Villa, U. Stammberger, R. Bruns, E. Raymond
1Oncology Unit, Beaujon University Hospital, Clichy, France; 2Service d’hépato-gastroentérologie et d’oncologie digestive, Groupe Hospitalier Saint André, Bordeaux, France; 3Service d'Hépato-Gastro-Entérologie, Hôpital de la Croix Rousse, Lyon, France; 4Dipartimento di Oncologia Medica, Ospedale San Raffaele IRCSS, Milan, Italy; 5Servizio di Endoscopia Digestiva, Ospedale Casa Sollievo della Sofferenza IRCCS, San Giovanni Rotondo, Italy; 6Service Hépatologie, Hôpital Jean-Verdier, Bondy, France; 7Service d'hepato-gastro-enterologie, CHU de Grenoble - Hôpital Nord, Grenoble, France; 8Gastrointestinal Oncology, Goethe University Hospital, Frankfurt, Germany; 9Policlinico di Modena, Modena, Italy; 10Merck KGaA, Darmstadt, Germany
Circulating tumor cells (CTCs) have potential clinical applications as biomarkers in colorectal cancer. Studies have found CTCs correlate with disease stage but not other clinical factors. Detecting CTCs before and during treatment can independently predict progression-free and overall survival. While CTC detection provides prognostic information, methodology challenges remain around isolating, quantifying, and characterizing CTCs reproducibly. Further research could help validate CTCs against standard biomarkers and guide personalized therapy.
Cancer stem cells (CSCs) are a subset of cells found in tumors that can self-renew and differentiate, leading to tumor growth, recurrence, and metastasis. In contrast to normal stem cells, CSCs have mutations that allow uncontrolled growth and resistance to chemotherapy and radiation. Immunocellular Therapeutics' dendritic cell-based vaccine ICT-107 targets multiple CSC antigens to activate the immune system against brain cancer cells. Phase I/II trials showed ICT-107 increased survival rates and time to tumor progression compared to standard treatments.
This document summarizes research on anaplastic large cell lymphoma (ALCL) associated with breast implants. The researchers established three new cell lines from patient biopsy specimens to study the unique biology of this cancer. Characterization found chromosomal abnormalities but no common genetic translocations. The cancer cells showed markers of T-cells and antigen presentation. Studies revealed strong activation of STAT3 signaling related to increased interleukin-6 and decreased SHP-1 phosphatase, suggesting a mechanism of cell survival. Inhibiting STAT3 or treating with chemotherapy killed the cancer cells in vitro, indicating potential new therapies for this disease. The cell lines provide models to further understand breast implant-associated ALCL and identify effective treatments.
This document discusses research on using cancer stem cells for compound screening. It describes how cancer stem cells can be isolated from tumors and cultured. These cancer stem cells can then be used to test compounds for anti-cancer activity in vitro and validate drug candidates in vivo using xenograft models. Several examples are given of research groups that have pioneered cancer stem cell research in specific cancers like colon and lung cancer. Resources available include cancer stem cell banks, microarrays, and models that can be used to test compounds and better understand cancer stem cell biology.
This paper reports phase II clinical data on galunisertib, a novel small molecule TGF-beta receptor inhibitor in patients with advanced non-operable hepatocellular carcinoma. This poster was presented at ASCO 2016 in Chicago. Results show activity and mild toxicity.
This document summarizes a presentation on new targets and agents for hepatocellular carcinoma. It discusses several new targets including VEGFR, PDGFR, c-MET, FGFR4, TGF-β, and PD-1/PDL1 that are being investigated with new agents. Regorafenib and nivolumab are highlighted as agents that have shown survival benefits in late stage trials for HCC. Other agents discussed include tepotinib as a c-MET inhibitor and galunisertib as a TGF-β inhibitor. Combination approaches are also a focus, including using PD-L1 inhibitors with other agents and combining galunisertib with sorafenib.
This document discusses tumor markers and their use in cancer screening and care. It defines tumor markers as substances produced by tumor cells or other cells in response to tumors that can be detected in blood, fluids, or tissues. The document describes how tumor markers are used to aid in diagnosis, identify cancer type and stage, monitor treatment effectiveness, and screen high-risk populations. It also discusses different types of tumor markers and provides guidance on choosing markers for specific cancer types.
Poster presentation at the 2016 WORLD GASTROINTESTINAL SYMPOSIUM on tepotinib a selective inhibitor of c-MET by S. Faivre, J.-F. Blanc, P. Merle, A. Fasolo, A. Iacobellis, V. Grando, T. Decaens, J. Trojan, E. Villa, U. Stammberger, R. Bruns, E. Raymond
1Oncology Unit, Beaujon University Hospital, Clichy, France; 2Service d’hépato-gastroentérologie et d’oncologie digestive, Groupe Hospitalier Saint André, Bordeaux, France; 3Service d'Hépato-Gastro-Entérologie, Hôpital de la Croix Rousse, Lyon, France; 4Dipartimento di Oncologia Medica, Ospedale San Raffaele IRCSS, Milan, Italy; 5Servizio di Endoscopia Digestiva, Ospedale Casa Sollievo della Sofferenza IRCCS, San Giovanni Rotondo, Italy; 6Service Hépatologie, Hôpital Jean-Verdier, Bondy, France; 7Service d'hepato-gastro-enterologie, CHU de Grenoble - Hôpital Nord, Grenoble, France; 8Gastrointestinal Oncology, Goethe University Hospital, Frankfurt, Germany; 9Policlinico di Modena, Modena, Italy; 10Merck KGaA, Darmstadt, Germany
Circulating tumor cells (CTCs) have potential clinical applications as biomarkers in colorectal cancer. Studies have found CTCs correlate with disease stage but not other clinical factors. Detecting CTCs before and during treatment can independently predict progression-free and overall survival. While CTC detection provides prognostic information, methodology challenges remain around isolating, quantifying, and characterizing CTCs reproducibly. Further research could help validate CTCs against standard biomarkers and guide personalized therapy.
Cancer stem cells (CSCs) are a subset of cells found in tumors that can self-renew and differentiate, leading to tumor growth, recurrence, and metastasis. In contrast to normal stem cells, CSCs have mutations that allow uncontrolled growth and resistance to chemotherapy and radiation. Immunocellular Therapeutics' dendritic cell-based vaccine ICT-107 targets multiple CSC antigens to activate the immune system against brain cancer cells. Phase I/II trials showed ICT-107 increased survival rates and time to tumor progression compared to standard treatments.
This document summarizes research on anaplastic large cell lymphoma (ALCL) associated with breast implants. The researchers established three new cell lines from patient biopsy specimens to study the unique biology of this cancer. Characterization found chromosomal abnormalities but no common genetic translocations. The cancer cells showed markers of T-cells and antigen presentation. Studies revealed strong activation of STAT3 signaling related to increased interleukin-6 and decreased SHP-1 phosphatase, suggesting a mechanism of cell survival. Inhibiting STAT3 or treating with chemotherapy killed the cancer cells in vitro, indicating potential new therapies for this disease. The cell lines provide models to further understand breast implant-associated ALCL and identify effective treatments.
The document discusses evidence that calls into question the theory that Avastin works as an anti-angiogenic drug by cutting off blood supply to tumors. Some studies show Avastin is more effective when added to weaker chemotherapy regimens, suggesting it may work by depleting the stromal layer surrounding tumors and allowing more chemotherapy to reach cancer cells. The debate over Avastin's mechanism of action will continue. The document also provides updates on clinical trials investigating drugs for lung cancer and pancreatic cancer that target the stromal tissue surrounding tumors.
This document discusses personalized medicine and targeted therapies for gynecologic cancers. It describes how molecular profiling identifies specific mutations that can be targeted with FDA-approved drugs like bevacizumab and olaparib. Ongoing clinical trials are exploring new targeted therapies and combinations of targeted drugs with immunotherapy. Challenges to personalized medicine include availability of genetic testing and targeted therapies as well as tumor heterogeneity. The document encourages patients to consider molecular profiling and enrollment in clinical trials to access targeted treatment options.
Overexpression of YAP 1 contributes to progressive features and poor prognosi...Enrique Moreno Gonzalez
Yes-associated protein 1 (YAP 1), the nuclear effector of the Hippo pathway, is a key regulator of organ size and a candidate human oncogene in multiple tumors. However, the expression dynamics of YAP 1 in urothelial carcinoma of the bladder (UCB) and its clinical/prognostic significance are unclear.
This document summarizes a study that performed comprehensive molecular characterization of 161 cases of papillary renal cell carcinoma (PRCC). The key findings were:
1) Type 1 and type 2 PRCC were found to be distinct types of renal cancer characterized by different genetic alterations, with type 2 further classified into three subgroups based on molecular differences associated with patient survival.
2) Type 1 tumors were associated with MET alterations, while type 2 tumors were characterized by CDKN2A silencing, SETD2 mutations, TFE3 fusions, and increased expression of the NRF2-antioxidant response pathway.
3) A distinct subtype of type 2 PRCC was identified that had a CpG island methyl
Circulating cell-free DNA (cfDNA) found in blood can be used as a "blood biopsy" for cancer management. Compared to traditional tissue biopsies, blood biopsies are non-invasive, allow for longitudinal monitoring throughout treatment, and provide a representation of overall tumor heterogeneity. Advanced technologies like next-generation sequencing can analyze cfDNA to identify genetic mutations and guide targeted therapy. While promising, further large clinical studies are still needed to validate the clinical utility of using cfDNA for treatment decisions and monitoring treatment response over time.
Anti-cancer stem cell drug starts clinical trialsrandazzov
OncoMed Pharmaceuticals has commenced a Phase 1 clinical trial of its anti-cancer stem cell drug OMP-59R5 in patients with advanced solid tumors. OMP-59R5 targets cancer stem cells and Notch receptors in tumors and aims to improve cancer treatment by targeting pathways critical for tumor growth and survival. Preliminary results from the trial have shown decreases in tumor-initiating cells and positive indications of disease control and tumor responses to the drug.
Thanks to Prof. Chavdar Pavlov, MD, PhD, MScD - Department Head of Therapy, Head of the Centre for Evidence-Based Medicine, I.M. Sechenov First Moscow State Medical University (Sechenov University), Moscow, Russia for helping organizing this event in Moscow.
The document summarizes recent news and events in oncology, including:
1) Daiichi Sankyo's acquisition of Plexxikon for its promising drug PLX4032 that targets the BRAF mutation in melanoma.
2) Positive results from Roche's phase 2 trial of its hedgehog pathway inhibitor vismodegib for advanced basal cell carcinoma.
3) How next-generation sequencing is enabling more personalized cancer treatment by matching drugs to patients based on their tumor's molecular profile.
Acute myeloid leukemia (AML) is a hematopoietic malignancy with a dismal outcome in the majority of cases. A detailed understanding of the genetic alterations and gene expression changes that contribute to its pathogenesis is important to improve prognostication, disease monitoring, and therapy. In this context, leukemia-associated misexpression of microRNAs (miRNAs) has been studied, but no coherent picture has emerged yet, thus warranting further investigations.
Tumour markers can play a crucial role in detecting cancer and assessing response to therapy. They are substances produced either by tumour cells or by the body in response to cancer. Oncoproteins are proteins encoded by oncogenes which normally maintain a fine balance between cell proliferation and differentiation but become permanently activated in cancer, stimulating cell growth. Elevated levels of various oncoproteins and other tumour markers can be detected in blood and other body fluids, serving as biomarkers for early cancer detection and prediction of prognosis. Common tumour markers discussed include AFP, CEA, CA19-9, CA15-3, CA125, and proteins associated with growth factors, receptors, and cellular signalling pathways.
This study compared levels of three tumor markers (CEA, CA 19-9, and CA 72-4) in the blood of 25 colon cancer patients and 35 healthy controls. CA72-4 and CEA levels were significantly higher in patients than controls, while CA19-9 was not. Of the three markers, CA72-4 had the highest sensitivity (82.86%) and specificity (100%) for detecting colon cancer based on receiver operating characteristic analysis. The study concludes that CA72-4 shows promise as a diagnostic marker for colon cancer.
This document discusses immunohistochemistry (IHC), which is used to identify tissue antigens through antigen-antibody interactions. It provides details on the IHC process, common antibodies and their targets, and tumor markers. IHC is useful for tumor diagnosis, narrowing differential diagnoses, and detecting unexpected diagnoses. The antibody panels discussed can help determine the primary site of cancers and differentiate between tumor types.
This document discusses various biomarkers used to diagnose and monitor cancer progression. It describes several common cancer antigen biomarkers like PSA, AFP, CA125, CA15-3, and CEA that are detected in serum to identify prostate, liver, ovarian, breast, and colorectal cancers respectively. Other biomarkers mentioned include hCG for germ cell tumors, thyroglobulin for thyroid cancer, heat shock proteins, glucose metabolism measured via FDG-PET scans, circulating tumor cells, and cancer stem cells. The document provides details on each biomarker's applications, typical values, and utility for cancer diagnosis and prognosis.
Learn more about how AARSOTA Bio-Immunotherapy integrates with Hope4Cancer's non-toxic cancer treatment strategies. Hope4Cancer's alternative cancer treatments reduces the toxic effects of prior chemo and radiation treatments while directly healing the cancer.
Clinical and experimental studies regarding the expression and diagnostic val...Enrique Moreno Gonzalez
Carcinoembryonic antigen-related cell adhesion molecule 1 (CEACAM1) is a multifunctional Ig-like cell adhesion molecule that has a wide range of biological functions. According to previous reports, serum CEACAM1 is dysregulated in different malignant tumours and associated with tumour progression. However, the serum CEACAM1 expression in nonsmall-cell lung carcinomas (NSCLC) is unclear. The different expression ratio of CEACAM1-S and CEACAM1-L isoform has seldom been investigated in NSCLC. This research is intended to study the serum CEACAM1 and the ratio of CEACAM1-S/L isoforms in NSCLC.
The document discusses biomarkers in oncology from cells to systems. It notes that while many biomarkers are discovered, few progress beyond initial publication to clinical validation and diagnostic tests. Reasons for this innovation gap include a lack of integrated biomarker research and development pipelines and challenges in organizing multi-lab validation studies. The talk emphasizes embracing novel omics technologies, considering tumor cells as part of a biological system, and focusing on biomarker validation to address this gap. It provides examples of using mRNA expression profiling and systems-level approaches to stratify and characterize tumors.
This document summarizes the establishment and characterization of a new human extragonadal germ cell line called SEM-1. SEM-1 was derived from a patient with a mediastinal seminoma. Characterization showed that SEM-1 expressed markers common to seminomas like SALL-4, AP-2γ, and CAM5.2. SEM-1 also showed heterogeneous expression of stem cell markers. Cytogenetic analysis revealed a hypotriploid chromosome number. SEM-1 was concluded to have characteristics intermediate between seminoma and nonseminoma, making it a valuable model for studying extragonadal germ cell tumors.
For quiet a long time now there has been no treatment for metastatic colon cancer patients beyond second line except Regorafenib and TAS 103 which have shown some effectiveness but not long lasting and in recent times Immunotherapy in colon cancer has opened a new field of treatment where patients with MSI-H do well and survive for longer time.And in few patients there is a complete response. 9810619717. Initialyy pemrolizumab was approved but now nivolumab is approved as well.But the irony is that only 2 out of 17 patients were MSI-H at our centre.
Este documento presenta el diseño de una propuesta para instalar una planta procesadora de biofertilizante en la Azucarera Pio Tamayo C.A. En él se describe el tipo de investigación como no experimental y transaccional descriptiva, con un estudio de campo y apoyada en teorías y modelos. También se detallan los sujetos de estudio, instrumentos de recolección de datos, análisis e interpretación de la información y conclusiones. El objetivo general es proponer un plan de acción viable para resolver el problema de los desechos generados en la
Este documento describe un proyecto para construir una planta de elaboración de embutidos y salazones cárnicos. Detalla los diferentes capítulos y artículos del pliego de condiciones técnicas, incluyendo la definición y alcance del proyecto, la descripción de las obras, el programa de ejecución, las modificaciones posibles y las condiciones de los materiales a utilizar. El proyecto consiste en la construcción de una nave industrial, instalaciones varias y maquinaria para procesar carnes.
Este documento resume las inspecciones realizadas por instituciones públicas a empresas en Trujillo con el objetivo de evaluar su capacidad productiva y determinar cómo pueden contribuir a frenar la guerra económica. Se visitaron una planta procesadora de alimentos balanceados para animales, una quesera y una finca productora de panela. Se acordó solicitar apoyo técnico a otras instituciones para optimizar la producción con altos estándares de calidad e incrementar la capacidad de estas empresas.
The document discusses evidence that calls into question the theory that Avastin works as an anti-angiogenic drug by cutting off blood supply to tumors. Some studies show Avastin is more effective when added to weaker chemotherapy regimens, suggesting it may work by depleting the stromal layer surrounding tumors and allowing more chemotherapy to reach cancer cells. The debate over Avastin's mechanism of action will continue. The document also provides updates on clinical trials investigating drugs for lung cancer and pancreatic cancer that target the stromal tissue surrounding tumors.
This document discusses personalized medicine and targeted therapies for gynecologic cancers. It describes how molecular profiling identifies specific mutations that can be targeted with FDA-approved drugs like bevacizumab and olaparib. Ongoing clinical trials are exploring new targeted therapies and combinations of targeted drugs with immunotherapy. Challenges to personalized medicine include availability of genetic testing and targeted therapies as well as tumor heterogeneity. The document encourages patients to consider molecular profiling and enrollment in clinical trials to access targeted treatment options.
Overexpression of YAP 1 contributes to progressive features and poor prognosi...Enrique Moreno Gonzalez
Yes-associated protein 1 (YAP 1), the nuclear effector of the Hippo pathway, is a key regulator of organ size and a candidate human oncogene in multiple tumors. However, the expression dynamics of YAP 1 in urothelial carcinoma of the bladder (UCB) and its clinical/prognostic significance are unclear.
This document summarizes a study that performed comprehensive molecular characterization of 161 cases of papillary renal cell carcinoma (PRCC). The key findings were:
1) Type 1 and type 2 PRCC were found to be distinct types of renal cancer characterized by different genetic alterations, with type 2 further classified into three subgroups based on molecular differences associated with patient survival.
2) Type 1 tumors were associated with MET alterations, while type 2 tumors were characterized by CDKN2A silencing, SETD2 mutations, TFE3 fusions, and increased expression of the NRF2-antioxidant response pathway.
3) A distinct subtype of type 2 PRCC was identified that had a CpG island methyl
Circulating cell-free DNA (cfDNA) found in blood can be used as a "blood biopsy" for cancer management. Compared to traditional tissue biopsies, blood biopsies are non-invasive, allow for longitudinal monitoring throughout treatment, and provide a representation of overall tumor heterogeneity. Advanced technologies like next-generation sequencing can analyze cfDNA to identify genetic mutations and guide targeted therapy. While promising, further large clinical studies are still needed to validate the clinical utility of using cfDNA for treatment decisions and monitoring treatment response over time.
Anti-cancer stem cell drug starts clinical trialsrandazzov
OncoMed Pharmaceuticals has commenced a Phase 1 clinical trial of its anti-cancer stem cell drug OMP-59R5 in patients with advanced solid tumors. OMP-59R5 targets cancer stem cells and Notch receptors in tumors and aims to improve cancer treatment by targeting pathways critical for tumor growth and survival. Preliminary results from the trial have shown decreases in tumor-initiating cells and positive indications of disease control and tumor responses to the drug.
Thanks to Prof. Chavdar Pavlov, MD, PhD, MScD - Department Head of Therapy, Head of the Centre for Evidence-Based Medicine, I.M. Sechenov First Moscow State Medical University (Sechenov University), Moscow, Russia for helping organizing this event in Moscow.
The document summarizes recent news and events in oncology, including:
1) Daiichi Sankyo's acquisition of Plexxikon for its promising drug PLX4032 that targets the BRAF mutation in melanoma.
2) Positive results from Roche's phase 2 trial of its hedgehog pathway inhibitor vismodegib for advanced basal cell carcinoma.
3) How next-generation sequencing is enabling more personalized cancer treatment by matching drugs to patients based on their tumor's molecular profile.
Acute myeloid leukemia (AML) is a hematopoietic malignancy with a dismal outcome in the majority of cases. A detailed understanding of the genetic alterations and gene expression changes that contribute to its pathogenesis is important to improve prognostication, disease monitoring, and therapy. In this context, leukemia-associated misexpression of microRNAs (miRNAs) has been studied, but no coherent picture has emerged yet, thus warranting further investigations.
Tumour markers can play a crucial role in detecting cancer and assessing response to therapy. They are substances produced either by tumour cells or by the body in response to cancer. Oncoproteins are proteins encoded by oncogenes which normally maintain a fine balance between cell proliferation and differentiation but become permanently activated in cancer, stimulating cell growth. Elevated levels of various oncoproteins and other tumour markers can be detected in blood and other body fluids, serving as biomarkers for early cancer detection and prediction of prognosis. Common tumour markers discussed include AFP, CEA, CA19-9, CA15-3, CA125, and proteins associated with growth factors, receptors, and cellular signalling pathways.
This study compared levels of three tumor markers (CEA, CA 19-9, and CA 72-4) in the blood of 25 colon cancer patients and 35 healthy controls. CA72-4 and CEA levels were significantly higher in patients than controls, while CA19-9 was not. Of the three markers, CA72-4 had the highest sensitivity (82.86%) and specificity (100%) for detecting colon cancer based on receiver operating characteristic analysis. The study concludes that CA72-4 shows promise as a diagnostic marker for colon cancer.
This document discusses immunohistochemistry (IHC), which is used to identify tissue antigens through antigen-antibody interactions. It provides details on the IHC process, common antibodies and their targets, and tumor markers. IHC is useful for tumor diagnosis, narrowing differential diagnoses, and detecting unexpected diagnoses. The antibody panels discussed can help determine the primary site of cancers and differentiate between tumor types.
This document discusses various biomarkers used to diagnose and monitor cancer progression. It describes several common cancer antigen biomarkers like PSA, AFP, CA125, CA15-3, and CEA that are detected in serum to identify prostate, liver, ovarian, breast, and colorectal cancers respectively. Other biomarkers mentioned include hCG for germ cell tumors, thyroglobulin for thyroid cancer, heat shock proteins, glucose metabolism measured via FDG-PET scans, circulating tumor cells, and cancer stem cells. The document provides details on each biomarker's applications, typical values, and utility for cancer diagnosis and prognosis.
Learn more about how AARSOTA Bio-Immunotherapy integrates with Hope4Cancer's non-toxic cancer treatment strategies. Hope4Cancer's alternative cancer treatments reduces the toxic effects of prior chemo and radiation treatments while directly healing the cancer.
Clinical and experimental studies regarding the expression and diagnostic val...Enrique Moreno Gonzalez
Carcinoembryonic antigen-related cell adhesion molecule 1 (CEACAM1) is a multifunctional Ig-like cell adhesion molecule that has a wide range of biological functions. According to previous reports, serum CEACAM1 is dysregulated in different malignant tumours and associated with tumour progression. However, the serum CEACAM1 expression in nonsmall-cell lung carcinomas (NSCLC) is unclear. The different expression ratio of CEACAM1-S and CEACAM1-L isoform has seldom been investigated in NSCLC. This research is intended to study the serum CEACAM1 and the ratio of CEACAM1-S/L isoforms in NSCLC.
The document discusses biomarkers in oncology from cells to systems. It notes that while many biomarkers are discovered, few progress beyond initial publication to clinical validation and diagnostic tests. Reasons for this innovation gap include a lack of integrated biomarker research and development pipelines and challenges in organizing multi-lab validation studies. The talk emphasizes embracing novel omics technologies, considering tumor cells as part of a biological system, and focusing on biomarker validation to address this gap. It provides examples of using mRNA expression profiling and systems-level approaches to stratify and characterize tumors.
This document summarizes the establishment and characterization of a new human extragonadal germ cell line called SEM-1. SEM-1 was derived from a patient with a mediastinal seminoma. Characterization showed that SEM-1 expressed markers common to seminomas like SALL-4, AP-2γ, and CAM5.2. SEM-1 also showed heterogeneous expression of stem cell markers. Cytogenetic analysis revealed a hypotriploid chromosome number. SEM-1 was concluded to have characteristics intermediate between seminoma and nonseminoma, making it a valuable model for studying extragonadal germ cell tumors.
For quiet a long time now there has been no treatment for metastatic colon cancer patients beyond second line except Regorafenib and TAS 103 which have shown some effectiveness but not long lasting and in recent times Immunotherapy in colon cancer has opened a new field of treatment where patients with MSI-H do well and survive for longer time.And in few patients there is a complete response. 9810619717. Initialyy pemrolizumab was approved but now nivolumab is approved as well.But the irony is that only 2 out of 17 patients were MSI-H at our centre.
Este documento presenta el diseño de una propuesta para instalar una planta procesadora de biofertilizante en la Azucarera Pio Tamayo C.A. En él se describe el tipo de investigación como no experimental y transaccional descriptiva, con un estudio de campo y apoyada en teorías y modelos. También se detallan los sujetos de estudio, instrumentos de recolección de datos, análisis e interpretación de la información y conclusiones. El objetivo general es proponer un plan de acción viable para resolver el problema de los desechos generados en la
Este documento describe un proyecto para construir una planta de elaboración de embutidos y salazones cárnicos. Detalla los diferentes capítulos y artículos del pliego de condiciones técnicas, incluyendo la definición y alcance del proyecto, la descripción de las obras, el programa de ejecución, las modificaciones posibles y las condiciones de los materiales a utilizar. El proyecto consiste en la construcción de una nave industrial, instalaciones varias y maquinaria para procesar carnes.
Este documento resume las inspecciones realizadas por instituciones públicas a empresas en Trujillo con el objetivo de evaluar su capacidad productiva y determinar cómo pueden contribuir a frenar la guerra económica. Se visitaron una planta procesadora de alimentos balanceados para animales, una quesera y una finca productora de panela. Se acordó solicitar apoyo técnico a otras instituciones para optimizar la producción con altos estándares de calidad e incrementar la capacidad de estas empresas.
PROYECTO PARA LA IMPLEMENTACION DE UNA PLANTA PROCESADORA DE FRUTAS EN EL MUN...santiago mariño
El documento presenta un proyecto para implementar una planta procesadora de frutas en el municipio de Puerres, Colombia. El proyecto tiene como objetivo crear una microempresa para producir pulpas, mermeladas y almibares de frutas locales. La planta procesaría frutas como maracuyá, lulo, mora y curuba para aprovechar la producción agrícola de la región y generar empleos. Se realizaron estudios de mercado, técnicos, económicos y de ingeniería para evaluar la viabilidad del proyecto
Instructivo para el proyecto pnf en administracion 2012UPTARAGUA
Este documento presenta las orientaciones para el desarrollo del proyecto sociointegrador del Programa Nacional de Formación en Administración. Explica que el proyecto se estructura en tres capítulos principales: diagnóstico, planificación y sistematización de resultados. Detalla los componentes que deben incluirse en cada capítulo, como la caracterización de la organización, metodología, identificación del problema, propuesta de solución, ejecución y evaluación. El objetivo es que el proyecto permita la integración de la teor
Proyecto sociointegrador terminado daniela niria irene manuel lad4400aleinadt
proyecto, basado en la realizacion de un Manual de Normas y Procedimientos Administrativos para el área de Almacén de la unidad educativa Jose Atanacio Giradot . parroquia Cuji, barquisimeto- estado alra
El documento describe un proyecto para apoyar a la comunidad organizada en la planificación, desarrollo y consolidación de la reconstrucción de la caminería del callejón El Nazareno en el Barrio El Carmen, Parroquia Antímano, Municipio Libertador. El proyecto busca identificar los factores que inciden en el deterioro de la caminería e involucrar a la comunidad en la elaboración de un proyecto para obtener recursos que permitan reconstruir la vía, mejorando así la calidad de vida de los residentes. El document
Mechanisms and applications of apoptosis based and molecularDrSatyabrataSahoo
The document discusses apoptosis, or programmed cell death, and strategies for targeting apoptosis for disease treatment. It notes that apoptosis is regulated by various molecules and caspase activation plays a key role. Cancer development involves evading apoptosis, so targeting apoptosis is a promising strategy. Several therapeutic agents targeting different apoptosis regulators are in clinical trials, alone or in combination with chemotherapy. Strategies include targeting caspases, death receptor signaling, or modulating other apoptosis components. Successful targeting of apoptosis has been demonstrated in experimental models and holds potential for treating various diseases.
1. A significant milestone in cancer immunotherapy was the 2010 FDA approval of Provenge for prostate cancer, but most immunotherapies have failed due to low effectiveness.
2. New initiatives aim to better define biomarkers and endpoints to improve cancer immunotherapy trials by accounting for delayed responses and variable immune monitoring results.
3. A study presented preliminary results showing the Onko-Sure cancer test was more effective than CEA alone at detecting early-stage colorectal cancer.
This document summarizes a study examining the expression of Thomsen-Friedenreich antigen (TF-antigen), a mucin-type glycoprotein, in human esophageal squamous cell carcinoma (ESCC) using peanut agglutinin (PNA) binding. The study found increased levels of TF-antigen in the serum and tissues of ESCC patients compared to normal individuals. TF-antigen levels did not differ between well, moderately, and poorly differentiated ESCC grades and did not decrease after therapy. Expression of TF-antigen increased with histological progression and was localized to the Golgi apparatus and cell membrane in ESCC tissues. The study establishes TF-antigen as a potential diagnostic marker for ES
GROUP 1 Case 967-- A Teenage Female with an Ovarian MassCLI.docxgilbertkpeters11344
GROUP 1: Case 967-- A Teenage Female with an Ovarian Mass
CLINICAL HISTORY
A teenage female presented with secondary amenorrhea (https://www.healthline.com/health/secondary-amenorrhea#causes). The patient had 1 menstrual cycle 3 years ago and has had no menses since. Laboratory work-up was negative for pregnancy test, mildly increased calcium level (11.7 mg/dL, normal range: 8.5-10.2 mg/dL) and CA 125 (43 Units/ml, normal range: 0-20 Units/ml). Prolactin, TSH, AFP, Inhibin A, Inhibin B and CEA were normal. Imaging revealed a 13 x 11.8 x 8.6 cm, predominately cystic left pelvis mass, with multiple internal septations. Her past medical history was not contributory. Patient underwent left salpingo-oophorectomy (https://www.healthline.com/health/salpingo-oophorectomy), omentectomy (https://moffitt.org/cancers/ovarian-cancer/omentectomy/) and tumor debulking (https://en.wikipedia.org/wiki/Debulking) with intraoperative frozen section consultation.
GROSS EXAMINATION
The 930.9 g tubo-ovarian complex consisted of a 20.0 x 16.0 x 8.0 cm large mass, with no recognizable normal ovarian parenchyma grossly and an unremarkable fallopian tube. The cut surface was gray, "fish-flesh", soft with foci of hemorrhage and necrosis.
MICROSCOPIC EXAMINATION
Microscopically, the majority of main tumor was growing in large nests, sheets and cords with focal follicle-like structures and geographic areas of necrosis. It was predominantly composed of small cells with hyperchromatic nuclei, round to oval nucleus with irregular nuclear contour, inconspicuous to occasional conspicuous nucleoli and minimal cytoplasm. This component was variably admixed with a population of larger cells, which as the name implies composed of cells with abundant eosinophilic cytoplasm, with central or eccentric round to oval nuclei, pale chromatin and prominent nuclei. Both, the small and large cell components demonstrated brisk mitotic activity. All staging biopsies and omentectomy were composed of large cell component.
An extensive panel of immunohistochemical stains was performed. Overall, the staining pattern was strong and diffuse in small cell component compared to patchy weak staining pattern in the large cell component.
FINAL DIAGNOSIS
Small cell carcinoma (https://en.wikipedia.org/wiki/Small-cell_carcinoma) of the ovary, hypercalcemic type (https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4939673/)
DISCUSSION
Small cell carcinoma of the ovary, hypercalcemic type (SCCOHT) is an aggressive and highly malignant tumor affecting the women under 40. It was first described as a distinct entity by Dickersin et al in 1982 (1). Fewer than 500 cases have been described in the literature and it accounts for less than 1% of all ovarian cancer diagnoses. Due to the initial consideration of epithelial origin, the term of SCCOHT has been used to distinguish this entity from its mimicker, the neuroendocrine or pulmonary type (2). In fact epithelial origin of SCCOHT was recently challenged as new imm.
This corporate presentation summarizes PharmaMar's pipeline and strategy:
- PharmaMar is a biotech company focused on developing marine-derived oncology drugs. It has a fully integrated platform from discovery to commercialization.
- The pipeline includes Yondelis® for soft tissue sarcoma and ovarian cancer, Aplidin® for multiple myeloma, and PM1183 which is being studied in small cell lung cancer, platinum-resistant ovarian cancer, and BRCA breast cancer.
- PM1183 has shown promising results in early clinical trials, achieving a 67% response rate in small cell lung cancer. Phase III trials are ongoing in platinum-resistant ovarian cancer.
Tumor Markers include a wide range of biomacromolecules orchestrated in abundance fixation by a wide assortment of neoplastic cells. The markers could be endogenous results of exceptionally dynamic metabolic threatening cells or the results of recently turned on qualities, which stayed unexpressed in early life or recently obtained antigens at cell and sub-cell levels. The presence of tumor marker and their focus are identified with the beginning and development of dangerous tumors in patients. A perfect tumor marker ought to be profoundly delicate, explicit, dependable with high prognostic worth, organ particularity and it should relate with tumor stages. Be that as it may, none of the tumor markers answered to date has every one of these attributes. Inspite of these impediments, numerous tumor markers have indicated incredible clinical significance in checking adequacy of various methods of treatments during whole course of sickness in malignant growth patients. Moreover, assurance of markers additionally helps in early discovery of malignant growth repeat and in anticipation.
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The KRAS-variant may be a genetic marker of risk for type 2 endometrial cancers. In addition, tumor miRNA expression appears to be associated with patient age, lymphovascular invasion and the KRAS-variant, supporting the hypothesis that altered tumor biology can be measured by miRNA expression, and that the KRAS-variant likely impacts endometrial tumor biology.
Diagonsis of cancer through saliva.pptxZaidAhmad42
Human saliva is an ideal body fluid for developing non-invasive diagnostics. Saliva contains naturally-occurring nanoparticles with unique structural and biochemical characteristics.
11.[27 30]hepatoid adenocarcinoma of the stomachAlexander Decker
This case report describes a rare case of hepatoid adenocarcinoma of the stomach in a 16-year-old girl. Histological examination of a biopsy from a gastric mass showed features suggestive of hepatoid adenocarcinoma. Further tests found elevated AFP levels and liver metastases. The patient underwent gastrectomy and chemotherapy, but hepatoid adenocarcinoma typically has a poor prognosis due to frequent liver or lymph node metastases even in early stages. This young patient presented an unusual case of this rare gastric cancer subtype.
This document describes a case report of a rare type of gastric adenocarcinoma called hepatoid
adenocarcinoma that was diagnosed in a 16-year-old girl. Hepatoid adenocarcinoma is characterized by
features resembling hepatocellular carcinoma and alpha-fetoprotein production. The patient presented with
abdominal pain and weight loss. Testing found a stomach tumor and high alpha-fetoprotein levels. A
surgery was performed but liver metastases were discovered. The prognosis for hepatoid adenocarcinoma is
generally poor due to frequent metastases. This case highlights the rare occurrence of this tumor subtype in
an adolescent.
11.[27 30]hepatoid adenocarcinoma of the stomach - copyAlexander Decker
This case report describes a rare case of hepatoid adenocarcinoma of the stomach in a 16-year-old girl. Histological examination of a biopsy from a gastric mass found features suggestive of hepatoid adenocarcinoma. Further tests after surgery confirmed the diagnosis and found metastasis to lymph nodes and liver. Hepatoid adenocarcinoma is a rare subtype of gastric cancer characterized by production of alpha-fetoprotein and resemblance to hepatocellular carcinoma. It typically has a poor prognosis due to frequent metastasis even in early stages. This represents an unusually early presentation of this disease.
1. Gastric cancer is the fourth most common cancer worldwide and has a poor 5-year survival rate of less than 25%. It remains an active area of research.
2. Helicobacter pylori infection, which causes inflammation in the stomach, is a major risk factor for gastric cancer. Virulence factors in H. pylori can damage DNA and disrupt cell polarity pathways.
3. Loss of E-cadherin expression, which maintains cell adhesion and polarity, is also implicated in gastric carcinogenesis. E-cadherin mutations and methylation are associated with diffuse gastric cancer.
- The document outlines Oncolytics Biotech's corporate presentation from September 2016. It discusses the company's oncolytic virus REOLYSIN, its two mechanisms of action, positive clinical trial data showing increased progression-free and overall survival for certain patient groups, evidence of tumor responses including reductions in liver metastases, an upcoming colorectal cancer study, potential in multiple myeloma based on preclinical data, commercial-scale manufacturing, and a strong intellectual property portfolio with over 400 issued patents worldwide. The presentation positions REOLYSIN as a promising cancer therapeutic prepared for late-stage clinical trials.
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Lung cancer is the second common malignancy and the most aggressive cancer worldwide with late diagnosis and poor prognosis. The search for biomarkers that promote early diagnosis and improve therapeutic strategies focuses to the understanding of the mechanisms underlying cancer development and progression. The deregulation of gene expression is one of the cancer hallmarks reflected to the stability...
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Lung cancer is the second common malignancy and the most aggressive cancer worldwide with late diagnosis and poor prognosis. The search for biomarkers that promote early diagnosis and improve therapeutic strategies focuses to the understanding of the mechanisms underlying cancer development and progression
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Lung cancer is the second common malignancy and the most aggressive cancer worldwide with late diagnosis and poor prognosis. The search for biomarkers that promote early diagnosis and improve therapeutic strategies focuses to the understanding of the mechanisms underlying cancer development and progression. The deregulation of gene expression is one of the cancer hallmarks reflected to the stability...
Deadenylase Expression in Small Cell Lung Cancer Related To Clinical Characte...EditorSara
Lung cancer is the second common malignancy and the most aggressive cancer worldwide with late diagnosis and poor prognosis. The search for biomarkers that promote early diagnosis and improve therapeutic strategies focuses to the understanding of the mechanisms underlying cancer development and progression. The deregulation of gene expression is one of the cancer hallmarks reflected to the stability..
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Lung cancer is the second common malignancy and the most aggressive cancer worldwide with late diagnosis and poor prognosis. The search for biomarkers that promote early diagnosis and improve therapeutic strategies focuses to the understanding of the mechanisms underlying cancer development and progression. The deregulation of gene expression is one of the cancer hallmarks reflected to the stability..
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Lung cancer is the second common malignancy and the most aggressive cancer worldwide with late diagnosis and poor prognosis. The search for biomarkers that promote early diagnosis and improve therapeutic strategies focuses to the understanding of the mechanisms underlying cancer development and progression. The deregulation of gene expression is one of the cancer hallmarks reflected to the stability...
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This study examined the expression levels of deadenylases in small cell lung cancer (SCLC) clinical samples and their correlation to patient clinical characteristics and survival. Real-time PCR analysis found that the deadenylases PARN, CNOT6, CNOT7, and NOC were differentially expressed between malignant and normal lung tissue samples. Higher expression levels of PARN, CNOT6, and CNOT7 correlated with older patient age and decreased overall survival of 180 days or less. The results suggest these deadenylases may serve as prognostic biomarkers for SCLC patient outcomes.
Similar to Garcia-Pravia et al. - PlosOne 2013 (20)
2. Introduction
Pancreatic ductal adenocarcinoma (PDAC) represents the
fourth leading cause of death from cancer in men and women.
The 5-year survival rate is less than 5% and average survival
time is 6 months after the initial diagnosis. Even in patients who
undergo resection, long-term survival rates remain extremely
poor [1]. At the present time, there are no early diagnosis
methods or effective therapies for use against this type of
tumor. Despite progress having been made in its diagnosis and
treatment, pancreatic cancer continues to have the worst
prognosis of all solid malignant tumors. Pancreatic cancer is
the paradigm of advanced neoplastic disease: independently of
the TNM stage, the majority of patients present with
disseminated disease in the early phases [2]. Furthermore,
pancreatic cancer is resistant to chemo- and radiotherapy [3].
Pancreatic carcinoma is characterized by a desmoplastic
reaction involving cellular and acellular components, such as
fibroblasts (activated or resting), myofibroblasts, pericytes,
pancreatic stellate cells, immune cells, blood vessels, the
extracellular matrix, and soluble proteins such as cytokines and
growth factors [4,5]. This heterogeneous stroma influences
multiple aspects of PDAC and seems to promote tumor growth,
invasion, and resistance to chemotherapy [6-9].
Chronic pancreatitis is an inflammatory disease
characterized by irreversible and progressive destruction of the
organ, resulting in exocrine and endocrine insufficiency. The
lost parenchyma is replaced by dense fibrous tissue with
infiltrating leukocytes and ductular hyperplasia. Chronic
pancreatitis significantly increases the risk of developing
pancreatic cancer [10-12], which suggests that chronic
inflammation within the pancreas may be a predisposing factor
to the development of cancer. The causative link between
chronic inflammation and cancer was described two centuries
ago by Marjolin [13], but the inflammatory mediators that lead
to the development of cancer remain undefined.
Among the tumor-associated matrix collagens, fibrillar
collagens are the most conspicuous. Collagens are
synthesized as procollagens by fibroblasts. These procollagens
have a main central triple-helical domain, designated as α1, α2,
and α3, and coded by specific gene sequences. Once secreted
to the extracellular milieu, these procollagens are cleaved, and
then the mature collagen molecules assemble extracellularly in
fibrils. In normal tissues, collagen types I, II and III are the main
major fibrillar collagens, while collagens V and XI are less
abundant minor fibrillar collagens [14]. Collagens V and XI
share a 75% homology at their amino acid sequence level.
Procollagens α1 of types V and XI are coded by COL5A1 and
COL11A1 genes, respectively.
Studies of the fibroblasts in the vicinity of the tumor, the so-
called cancer-associated fibroblasts (CAF), have demonstrated
their role in stimulating tumor progression [15-20]. The
characteristics of the CAFs have been investigated in depth,
showing that their genotypic expression, growth pattern,
migratory behavior and secretion of growth factors differ from
those of normal fibroblasts [15,21]. However, researchers do
not have specific tools to differentiate CAFs from inflammatory
fibroblasts. Vimentin (VIM) and alpha-smooth muscle actin
(αSMA) are often used to identify CAFs, but these bio-markers
are not specific, since they stain inflammatory fibroblasts and
other cells as well. We have previously identified 116 genes
that were overexpressed in PDAC using DNA microarrays [22]
(see File S2). We found genes of the extracellular matrix
whose expression was increased compared to normal and
chronic pancreatitis (CP) tissues. One of the most significantly
and consistently overexpressed genes was COL11A1 (Table
S1 in File S1). Given the lack of a reliable commercial antibody,
we generated a rabbit polyclonal antiserum to a highly specific
amino acid stretch of human proCOL11A1 in order to assess
the protein level expressed in pancreatic cancer [23].
Subsequently, we developed a monoclonal antibody [24],
highly specific for human proCOL11A1, which clearly marks
these peritumoral stromal cells.
In this study we attempted to confirm the overexpression of
COL11A1 gene in PDAC. In addition, we evaluated the clinical
utility of the immunodetection of proCOL11A1 in PDAC and CP
tissues. Finally, we explored the phenotypic characteristics of
COL11A1-expressing cells within the pancreatic stroma.
Materials and Methods
Patient characteristics and tissue sampling
The immunohistochemistry studies with anti-proCOL11A1
pAb were performed on 54 PDAC and 23 CP (20 alcoholic, 2
autoimmune, 1 biliary) historical paraffin-embedded samples
obtained from surgical specimens from patients who underwent
surgery at the Hospital Universitario Central de Asturias,
Oviedo, Spain. The mean age of the patients with PDAC was
65 ± 9 years (46-81 years old) and, 56 ± 12 years (25-73 years
old) of the patients with CP. The gender ratio (M/F) was 37/17
for the PDAC patients, while male predominance was even
higher in the CP patients (22/1). The distribution of PDAC
tumor stage according to the TNM classification (AJCC Cancer
Staging Manual. 7th ed. 2010) was: IA, 13%; IB, 17%; IIA,
19%; IIB, 37%; III, 6%; IV, 9%. The neoplastic grading was:
G1, 20%; G2, 66%; G3, 12%; G4, 2%. The anti-proCOL11A1
mAb was applied to 69 (51 PDAC and 18 CP) of the previous
cases. Freshly removed PDAC, CP and normal pancreas
tissue samples were immediately snap-frozen in liquid nitrogen
in the operating room and stored at -80°C until processing. The
normal human pancreas tissue samples were obtained through
a cadaveric organ donation program (6 cases, all 41-76 year
old males) and were used for q-RT-PCR. Fresh samples were
used to isolate and culture the fibroblasts. Q-RT-PCR studies
were applied to frozen PDAC and CP samples. This study
complies with the Helsinki Declaration and was approved by
the Hospital Universitario Central de Asturias ethical committee
(Project n° 42/12). All patients signed consent forms indicating
their willingness to participate and their understanding of the
procedure and general aim of the study.
Quantitative RT-PCR of COL11A1
Total RNA was isolated from pancreas biopsies using TRIzol
reagent (Life Technologies), and cDNA was synthesized with
the reverse transcriptase enzyme SuperScript II RNAse (Life
Technologies). All PCR reactions were run in duplicate on a
Overexpression of COL11A1 in Pancreatic Cancer
PLOS ONE | www.plosone.org 2 October 2013 | Volume 8 | Issue 10 | e78327
3. LightCycler 2.0 (Roche) using the FastStart DNA master SYBR
Green I kit (Roche). Primer sequences were as follows:
COL11A1 (target gene): forward 5’ TGGTGAT
CAGAATCAGAAGTTCG 3’, reverse 5’
AGGAGAGTTGAGAATTGGGAATC 3’; Ribosomal protein L10
(reference gene): forward 5’ TGCGATGGCTGCACACA 3’,
reverse 5’ TCCCTTAGAGCAACCCATACAAC 3’. The
efficiency of the PCR reactions was calculated using reference
curves with serial dilutions of cDNA. The ratios of normalized
gene expression values were determined using the relative
quantification equation which corrects for differences in PCR
efficiency [25]. Finally, gene expression data were compared
between tumor and control samples using the Mann-Whitney U
test.
Rabbit polyclonal antiserum to the variable region of
human procollagen 11A1 (anti-proCOL11A1 pAb)
We have previously described the generation of this
antiserum [23]. Briefly, after the recombinant COL11A1-TGST
fusion protein was constructed, expressed, and purified, a New
Zealand white rabbit was injected intramuscularly at 2-week
intervals with 2 ml of immunogen emulsion of the purified
COL11A1-T-GST fusion protein (see File S2). The antiserum
obtained by cardiac puncture was depleted of the anti_GST
reactivity. The IgG fraction was purified using Protein
ASepharose.
Mouse monoclonal antibody to human procollagen
11A1 (anti-proCOL11A1 mAb)
The methodology for generating the anti-human
proCOL11A1 monoclonal antibody and for the characterization
thereof has been published [24]. In summary, the purified
COL11A1-T-GST fusion protein was used to hyperimmunize
BALB/c mice. Using Sp2/0 myeloma cells as fusion partner, B-
cell hybridomas were generated by standard methods. The
antibody, DMTX1, was supplied by Oncomatrix, S.L., Derio,
Spain (Ref# P0002, lot#200212).
Establishment of cell cultures
Samples were obtained from the tumor area, peritumoral
area and normal area using different surgical blades to avoid
contamination. Representative aliquots were histologically
examined. The samples were transported in RPMI-1640
Medium (Gibco, Invitrogen) supplemented with amikacin and
vancomycin (Normon Laboratories, Madrid, Spain, both at 40
μg/ml) to the culture laboratory where they were cut into
smaller fragments using surgical scissors. The fragments
obtained were enzymatically digested with collagenase (Type I
2 mg/ml, Sigma) for 1-2 hours. After the digestion, the
collagenase solution was centrifuged at 400 g for 10 minutes.
The pellet was resuspended in a fibroblast culture medium
(Dulbecco’s modified Eagle’s medium (Gibco, Invitrogen)
supplemented with 10% fetal calf serum (FCS, Gibco,
Invitrogen), amikacin and vancomycin (both at 40 μg/ml). The
tissue fragments that had not been digested with collagenase
underwent a second digestion with 0.05% trypsin and 0.02%
EDTA (T/E, Gibco, Invitrogen, Barcelona, Spain) for 30-60
minutes. The removed T/E was inactivated with serum-
containing culture medium (DMEM + 10% FCS) and
centrifuged at 400 g for 10 minutes. The pellet was
resuspended in fibroblast culture medium. Cells obtained from
collagenase digestion and trypsin digestion were seeded in six-
well plates using fibroblast culture medium and maintained at
37°C in a 5% CO2 incubator. The medium was changed every
3 days. When the primary culture was confluent, the cells were
washed twice with PBS and treated with T/E until they were
detached. Then, the T/E was neutralized with culture medium
and centrifuged at 400 g for 10 minutes to recover the cells. All
stromal cells were used at early passages (passages 3-6). The
cell purity of stromal cells was assessed by morphology and by
immunostaining for vimentin.
Immunohistochemistry and double immunostaining in
pancreatic tissue resection
The tissue obtained from the pancreas samples was fixed in
a 10% formaldehyde solution, paraffin embedded, cut 3 μm
thick and stained with H&E for histological examination.
Antigen retrieval was performed by heating the samples in
PTLink (DakoCytomation, Denmark) in buffer solution at high
pH for 20 minutes. Endogenous peroxidase activity was
blocked with Peroxidase Blocking Reagent (DakoCytomation,
Denmark) for 5 minutes. The samples were incubated at 37°C
with the primary antibodies described in Table 1, incubated
with the EnVision HRP Flexsystem (DakoCytomation,
Denmark) for 30 minutes at room temperature, and stained
with DAB (3-3´-Diaminobenzidine) (DakoCytomation, Denmark)
for 10 minutes. Finally, they were counterstained for 10
minutes with hematoxylin (DakoCytomation, dehydrated and
mounted in Entellan® (Merck, Germany). AntiproCOl11A1 pAb
was assayed at 1:2000 in buffer S2022 (Dako).
To assess the coexpression of Pro-Col11A1 with
mesenchymal (αSMA and VIM), epithelial (CK7), and
pancreatic stellate cell (desmin, Glial Fibrillary Acidic Protein-
GFAP-) markers, double immunostaining was performed using
the ultra view Universal Alkaline Phosphatase Red detection kit
Table 1. Antibodies used in immunohistochemical analysis.
Primary Antibodies
(species) Clone
Commercial
reference Dilution
Incubation
time (min)
ProCOL11A1 (mAb) 1E8.33
(DMTX1)
Oncomatrix
1:400 30
ProCOL11A1 (pAb) Oncomatrix 1.2000 30
Alpha-smooth
muscle actin (mAb)
1A4 Dako, Denmark R-t-U 20
Desmin (mAb) D33 Dako, Denmark R-t-U 20
GFAP (mAb) GA-5
Biogenex,The
Netherlands
1:200 20
Citokeratin 7 (mAb)
OV-TL
12/30
Dako, Denmark R-t-U 20
Vimentin (pAb) C-20
Santa Cruz Biotech,
Germany
1:600 10
(pAb) Polyclonal Rabbit ,(mAb) Monoclonal Mouse, R-t-U Ready to Use
doi: 10.1371/journal.pone.0078327.t001
Overexpression of COL11A1 in Pancreatic Cancer
PLOS ONE | www.plosone.org 3 October 2013 | Volume 8 | Issue 10 | e78327
4. (Ventana Medical Systems, Tucson, AZ) as red chromogen
and DAB as brown chromogen. Previously, the samples had
been incubated at 37°C with the primary antibodies described
in Table 1.
Immunocytofluorescence of cultured stromal cells and
Confocal Microscopy
Cells were fixed in acetone (-20°C) for 10 minutes in the
chamber slide. The cells were dried at room temperature and
then were introduced into the wash buffer (Dako) for 30
minutes. The samples were incubated with the anti-
proCOl11A1 mAb, (DMTX1, Oncomatrix) with Cytokeratin 7
(CK7) antibody and VIM antibody, to room temperature, under
the conditions specified in Table 1. The secondary antibodies
used were green anti-rabbit Alexa-488 (1:500, Invitrogen) and
red anti-rabbit Alexa-546 (1:500, Invitrogen), for 1 hour at room
temperature. Finally, the sections were mounted with mounting
medium containing DAPI (Vector Labs).
The colocalization (proCOL11A1 vs. VIM, proCOL11A1 vs.
Ck7, proCOL11A1 vs. αSMA and VIM vs. CK7) was visualized
and photographed using a Leica TCS SP2 confocal
microscope with 63X and 100X oil immersion objectives, using
the following sources of illumination for each fluorochrome
excitation: Argon/Krypton laser (488 nm), Helium/Neon laser
(546 nm) and blue-violet Diode (405 nm).
PDAC vs. CP immunohistochemistry assessment
Assessment was carried out in four regions selected as the
best representatives of the desmoplastic reaction. Cases that
presented 4 positive fields through the 10X objective were
assigned the maximum score of 4, while negative fields were
assigned the minimum score of 0. For the staining assessment,
a 20X field in the largest area with the most intense staining
(“hot spot”) was chosen. Cases with less than 1% positive cells
in relation to the stromal surface were assigned a score of 0,
cases with between 1 and 10% were assigned a score of 1,
cases with between 10% and 50% were assigned a score of 2,
and cases with more than 50% positive cells were assigned a
score of 3. Total variation in staining was defined by multiplying
the number of positive fields (0-4) by the field’s staining
intensity (0-3), yielding a total score of 0-12. The
immunostaining was double-blind scored by two pathologists
(CGP and JGG). A series of 24 PDAC and 16 CP
immunostained slides were also quantified by means of the
QWin image analysis program (Leica) in order to compare
them to the pathologists’ scores. Images of the largest area
with the most intense staining were taken through the 20X
objective of an Olympus BX61 microscope and recorded on an
Olympus Dp70 camera.
Statistical data analysis
Assuming unequal variances, we applied the Welch test to
determine the significance of the differences in the image data
between PDAC and chronic pancreatitis samples. The ANOVA
test was also applied. The correlation between various imaging
parameters was assessed using the Spearman Rank
correlation test. The sensitivity and specificity of proCOL11A1
was depicted as a receiver operating characteristic (ROC)
analysis. The accuracy (i.e. correctly classified cases) was
calculated. The position of the cut-off in the curve will
determine the number of true positives, true negatives, false
positives and false negatives. The criterion value is the cut-off
corresponding to the highest accuracy (minimal false negative
and false positive results). The sample size used in our
immunohistochemical study (n=77) allowed us to achieve
statistical significance (alpha=0.05) for an AUC=0.9 under the
null hypothesis of an AUC=0.5, with a statistical power of 90%.
All the analyses were implemented using the Statistical
Package for the Social Sciences (SPSS 13) or MedCalc
v9.4.1.0.
Results
Q-RT-PCR of COL11A1 and immunohistochemistry of
pancreatic tissues with anti-proCOL11A1
Pancreatic cancer cells express high levels of COL11A1
mRNA, as shown by quantitative RT-PCR (Figure 1). The
results confirmed a significantly increased expression of the
COL11A1 gene in PDAC samples vs. normal and CP samples
(fold change: 174; SLR: 7).
All PDAC samples tested with anti-proCOL11A1 mAb and
with antiproCOL11A1 pAb showed strong intracytoplasmatic
labeling of tumor-surrounding desmoplastic stromal CAFs
(Figure 2E; Figure S1D in File S1). The staining was not
widespread but rather localized in restricted peritumoral areas,
even where tumor cells were not seen. The morphological
features of these fibroblast-like stromal cells were compatible
with those of myofibroblasts (Figure SlE, F in File S1).
Extracellular staining was never observed. In contrast, the
expression of proCOL11A1 in chronic pancreatitis samples was
either absent (Figure 2A; Figure S1B in File S1) or very low
and restricted to a few stromal cells. CP stroma showed fibrotic
and inflammatory changes with no remarkable myofibroblastic
population. Normal pancreas and epithelial tumor cells, on the
other hand, did not show any staining at all with anti-
proCol11A1 (Figure S2 in File S1). Normal pancreas showed
staining with VIM and αSMA, but did not stain with GFAP. The
majority of CP (Figures 2C, D) and PDAC (Figures 2G, H)
stromal cells showed strong intracellular staining with VIM and
αSMA. The staining with desmin was intense in PDAC (Figure
2F) samples but nonexistent in CP (Figure 2B) samples. Figure
S3 in File S1 shows positive staining with anti-proCOL11A1
mAb (score 4) and desmin in a case of autoimmune
pancreatitis; in addition, intense positivity with VIM and αSMA,
and negativity with GFAP is observed.
Characterization of pancreatic CAFs
To characterize the CAFs, pancreatic tissue sections were
double stained for proCOL11A1/desmin, proCOL11A1/αSMA,
proCOL11A1/VIM, proCOL11A1/GFAP, proCOL11A1/CK7 and
CK7/VIM (Figure 3). A very high number of mesenchymal cells
were strongly labeled for VIM and αSMA. Immunostaining with
GFAP was negative. As a proportion a small number of cells
were proCOL11A1+ and desmin+. Co-staining of VIM or CK7
with proCOL11A1 identified a subset of CAFs with the
mesenchymal phenotype (proCOL11A1+/VIM+) and very few
Overexpression of COL11A1 in Pancreatic Cancer
PLOS ONE | www.plosone.org 4 October 2013 | Volume 8 | Issue 10 | e78327
5. cells with the epithelial phenotype (proCOL11A1+/CK7+)
(Figures 3 and E, respectively). Some desmin or αSMA cells
co-stained with proCOL11A1 (Figure 3 A and B, respectively).
However, CP stroma samples did not show staining with
proCOL11A1, desmin or GFAP, and there was no co-staining
(Figure 4).
The cell distribution of cultured CAFs was analyzed by
colocalization with immunocytofluorescence. The resulting data
are depicted in Table 2 (Figure 5). The interpretation of the
table is as follows: when a double staining was applied to the
cultured pancreatic CAFs, for instance proCOL11A1 and CK7,
a total of 188 cells were stained; of these, 82 cells were labeled
with anti-proCOL11A1, 60 cells were CK7 positive, and 46 cells
were stained with both antibodies. The same logic applies to
the rest of the stainings. According to the data shown in Table
2, among proCOL11A1 cells, 36% are CK7+, 49% are VIM+
and 48% are αSMA+; among the cells with the VIM phenotype,
21% are proCOL11A1+ and only 8% are CK7+; 33% of αSMA
cells share the proCOL11A1 phenotype; and lastly, 45% of
CK7 cells have the VIM+ phenotype and 43% have the
proCOL11A1 phenotype. The distribution of the proCOL11A1,
CK7 and desmin phenotypes in tissue samples is shown in
Table S2 in File S1 . It was not possible to analyze those fields
in which cells are VIM+ and αSMA+ due to the high number of
stained cells, which makes it complicated to individualize and
count them. According to the data shown in Table S2 in File
S1, 18% of proCOl11A1 cells are CK7+, and 21% are desmin+;
45% of those cells staining with desmin have the proCOL11A1
phenotype, and 50% of CK7 cells are proCOL11A1.
PDAC vs. CP
The characteristics of each patient and his/her pathologist’s
proCOL11A1 immunostaining score are shown in Table S3 in
File S1. There was a statistically significant difference between
PDAC and chronic pancreatitis in the mAb score (mean ± SD:
7.33 ± 4.04 vs. 0.61 ± 1.33; P < 0.0001). The data are shown in
Figure 6. The AUC of ROC curves PDAC vs. CP was 0.936
(0.851 to 0.981), P < 0.0001 (Figure 7). The immunostaining
showed a sensitivity of 92% and a specificity of 83% in
discriminating PDAC from CP, with an accuracy of 90%. The
Figure 1. Normalized gene expression levels (log2-transformed fold change) in pancreatic ductal adenocarcinoma
(PDAC) samples relative to normal pancreas (NP) and chronic pancreatitis (CP).
doi: 10.1371/journal.pone.0078327.g001
Overexpression of COL11A1 in Pancreatic Cancer
PLOS ONE | www.plosone.org 5 October 2013 | Volume 8 | Issue 10 | e78327
6. Figure 2. Comparative immunohistochemical profile of stromal cells of chronic pancreatitis (CP) and pancreatic ductal
adenocarcinoma (PDAC) in serial sections. Stromal cells in CP were negative for anti-proCOL11A1 mAb (A) and desmin (B)
whereas a substantial number of stromal cells of PDAC expressed anti-proCOL11A1 mAb (E) and desmin (F). In CP and PDAC the
stain of stromal cells for αSMA (C and G, respectively) and VIM (D and H, respectively) were diffuse and non-selective. Anti-
proCOL11A1 mAb (A and E), desmin (B and F), αSMA (C and G) and VIM (D and H) (all photomicrographs at ×400, Scale bar 50
μm).
doi: 10.1371/journal.pone.0078327.g002
Overexpression of COL11A1 in Pancreatic Cancer
PLOS ONE | www.plosone.org 6 October 2013 | Volume 8 | Issue 10 | e78327
7. Figure 3. Co-staining of anti-proCOL11A1 mAb with different fibroblastic markers and CK 7, in Pancreatic Ductal
Adenocarcinoma. A, anti-proCOL11A1 (brown) vs. desmin (magenta); B, anti-proCOL11A1 (brown) vs. αSMA (magenta); C, anti-
proCOL11A1 (brown) vs. VIM (magenta); D, anti-proCOL11A1 (brown) vs. GFAP (not staining); E, anti-proCOL11A1 (brown) vs.
CK7 (magenta); F, CK7 (epithelial tumor cells: brown) vs. VIM (magenta) (all photomicrographs at ×200, Scale bar 200 μm; inset
X1000).
doi: 10.1371/journal.pone.0078327.g003
Overexpression of COL11A1 in Pancreatic Cancer
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8. Figure 4. Co-staining of anti-proCOL11A1 mAb with different fibroblastic markers and CK 7, in Chronic Pancreatitis. A,
anti-proCOL11A1 (brown) vs. desmin (magenta); B, Anti-proCOL11A1 (brown) vs. αSMA (magenta); C, anti-proCOL11A1 (brown)
vs. VIM (magenta); D, anti-proCOL11A1 (brown) vs. GFAP (not staining); E, anti-proCOL11A1 (brown) vs. CK7 (magenta); F, CK7
(epithelial tumor cells: brown) vs. VIM (magenta).(all photomicrographs at ×200, Scale bar 200 μm). .
doi: 10.1371/journal.pone.0078327.g004
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9. use of pAb showed a similar outcome discriminating PDAC
from CP (Table S4 in File S1). Observational concordance
between pathologists was >90%. The staining score did not
Table 2. Quantitative analysis of cell distribution in cultured
peritumoral pancreatic cancer fibroblasts (passage 3)*
.
proCOL11A1/CK7
(DI) proCOL11A1/VIM (DI)
proCOL11A1/αSMA
(DI)
VIM/CK7
(DI)
proCOL11A1+ only
82 (43%)
proCOL11A1+ only
106 (18%)
proCOL11A1+ only
73 (23%)
VIM+ only
364 (85%)
CK7+ only 60 (32%) VIM+ only 370 (64%)
αSMA+ only 138
(50%)
CK7+ only
36 (8%)
proCOL11A1+/
CK7+ 46 (25%)
proCOL11A1+/VIM+
101 (18%)
proCOL11A1+/
αSMA+ 67 (24%)
VIM+/CK7+
30 (7%)
Total 188 (100%) Total 577 (100%) Total 278 (100%)
Total 430
(100%)
*. One patient sample, valuation on five fields for each double immunostaining (DI)
experiment. Cells stained with both Ab in bold.
doi: 10.1371/journal.pone.0078327.t002
correlate to the patients’ age, sex, tumor stage or grade. The
association with patient overall survival was not investigated
because the number of PDAC patients with a low score was
very low (4/51 cases).
Immunostaining was also evaluated using the QWin image
analysis software. The results are shown in Table S5 in File
S1. There is a statistical difference between PDAC and CP in
the number of positive cells in the stained surface and in the
reference area. Within the same series, there was a high
concordance between the pathologist score and the QWin data
such as the surface area of the stained cells and the number of
positive cells (Spearman’s rank correlation coefficient = 0.825
and 0.825, respectively). ROC curve AUC data were obtained
for the six image-analysis parameters (Table S6 in File S1). All
parameters permit discrimination between PDAC and chronic
pancreatitis. The most relevant parameters were the number of
positive cells and the surface area of the stained cells.
Discussion
DNA microarrays permit simultaneous analysis of the
expression level of thousands of genes and could clarify the
Figure 5. Confocal microscopy of pancreatic cultured CAFs. Double fluorescence stain illustrates the presence of cells
proCOL11A1+/CK7+, proCOL11A1+/αSMA+ and proCOL11A1+/VIM+. Red: proCOL11A1; green: CK7, αSMA and VIM,
respectively; blue: nuclei. Insets: randomly taken high power fields of culture. Scale bar 100 μm (X200) and 20 μm (X630).
doi: 10.1371/journal.pone.0078327.g005
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10. mechanisms of pancreatic carcinogenesis [26-31]. The first
study to apply this technique to pancreatic cancer successfully
identified a set of genes that is differentially expressed in
pancreatic cancer [32]. Other studies led to the identification of
both previously described and new candidate genes [33-39,50].
Most of the genes identified could not be validated by other
more accurate techniques at either the mRNA or protein level.
We have focused our studies on those genes with potential
interest as markers and/or therapeutic targets [23], one of
which is COL11A1.
Figure 6. Plot of all data of immunostaining score with
anti-proCOL11A1 mAb in chronic pancreatitis (CP) and
pancreatic ductal adenocarcinoma (PDAC). Bars: ± 1 SD.
doi: 10.1371/journal.pone.0078327.g006
Figure 7. ROC curve with 95% confidence bounds of
pancreatic ductal adenocarcinoma (PDAC) vs. chronic
pancreatitis (CP) by immunostaining score with anti-
proCOL11A1 mAb. µ indicates the cut-off point with the best
separation (minimal false negative and false positive results)
between the two groups.
doi: 10.1371/journal.pone.0078327.g007
In this report we verify the immunohistochemical expression
of COL11A1 in PDAC. Previous observations on the
expression of COL11A1 in other cancers [40-44] were limited
to differential gene expression analyses validated by
quantitative RT-PCR, Northern blots and/or in situ mRNA
hybridization. Recently, the expression of collagen XI in both
normal and malignant human colon tissue has been assessed
by immunohistochemistry [45].
A computational analysis of gene expression in multiple
cancers [46] reveals that overexpression of COL11A1 and
other genes is a high-specificity biomarker for cancer invasion
and predicts the response to neoadjuvant therapy. The
downregulation of COL11A1 in in vitro co-cultures of pancreatic
cancer and stromal cells [47] has been reported. These in vitro
observations are not supported by ex vivo data; the artificial in
vitro conditions did not fulfill all the requirements nor afford all
the local factors conducive to high COL11A1 expression.
To our knowledge, no specific marker for CAFs has been
reported. Conventional staining did not show differences
between CAFs and normal fibroblasts. Immunohistochemistry
with VIM and αSMA are used to label fibroblast and activated
fibroblasts, respectively, but vimentin is expressed in various
cells, including endothelial cells, myoepithelial cells, glial cells,
and cells of the hematopoietic lineages. Likewise alpha αSMA
expression can be found in pericytes, vascular smooth muscle
cells and myoepithelial cells. Kalluri [48] has shown that CAFs
are a heterogeneous population, and the use of VIM or αSMA
as the only markers will not identify all of the CAFs, because
there is a cellular overlap between these markers. They also
stain cells that are involved in biological processes not
associated with cancer, such as cells involved in epithelial-
mesenchymal transition (EMT).
Few data exist about the number of cells with the EMT
phenotype in cancer stroma. Raviraj [49] estimated that 2 cells
with the EMT phenotype (VIM+/CK+) were present in matrices
near a cluster of 30 breast tumoral cells. Our studies with
double staining in pancreatic samples and double
immunolabeling in cultured stromal cells also demonstrate that
pancreatic CAFs are a heterogeneous population, and that
some proCOL11A1 stromal cells co-stain with VIM, αSMA,
desmin and a few cells with CK7. We tried to quantify the
different CAF populations using immunocytofluorescence of
cultured stromal cells obtained from surgical samples (Table 2).
Although cultured stromal cells are not as representative as
tissue cells, the data obtained could give a first approximation
about the distribution of the CAF subpopulations. We found
that the percentage of cells with the EMT phenotype (VIM+/
CK7+) in our cultured CAFs was 7%, which could be
considered close to reality. Interestingly, the percentage of
cultured CAFs with the proCOL11A17/CK7 phenotype was
25%. Our histological studies show that there are some CAFs
with the proCOL11A1/CK7 phenotype, and that epithelial cells
do not stain with anti-proCOL11A1. All of this suggests that a
fraction of the proCOL11A1+ stromal cells could participate in
the EMT. Work is in progress in order to confirm this
hypothesis. Another reading of Table 2 is that the populations
of VIM+ cells and αSMA+ were very numerous, and not all
these cells can be considered CAFs, but rather as another kind
Overexpression of COL11A1 in Pancreatic Cancer
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11. of stromal cells that do not participate in the progression of the
tumor. We think that the CAF designation should be applied to
a subset of fibroblast-like stromal cells in the peritumoral region
that influence cancer growth and are identified by the anti-
proCOL11A1 antibody.
Erkan et al. [50], applying DNA arrays, found that COL11A1
was highly pancreas-specific. They used αSMA and a
commercial COL11A1 antibody to evaluate the co-localization,
concluding that COL11A1 is a specific marker for pancreatic
stellate cells (PSCs), but we observe that the number of such
COL11A1+ cells was too numerous for all of them to have been
PSCs. On the other hand, we cannot stain PSCs with GFAP
but with desmin, and those desmin positive cells co-stain with
anti-proCOL11A1 (Figure 2F; Figure 3D). Furthermore, the
commercial antibody he employed also stained pancreatic
acini, hepatocytes and chronic pancreatitis fibroblasts. In our
experience, commercial antibodies other than anti-
proCOL11A1 fail to stain desmoplastic stroma and show
unspecific staining of cancer cells and benign tissue. The
antibody anti-proCOL11A1 that we generated could be
considered specific to pancreatic CAFs, and co-localization
with the PSC marker desmin showed that only a subset of
proCOL11A1+ cells could be considered PSCs. We have
applied the antibody against human pro-COL11A1 to breast,
colon, neck and head tumors [51-53] (papers in preparation),
and the outcome is very similar to pancreatic cancer: it almost
exclusively stains CAFs. Our current data highlight the role of
stroma in pancreatic cancer biology. The present cancer
paradigm is that tumor growth is not just determined by
malignant cells, but also by tumor stroma [54,55]. The focal
pattern of COL11A1 staining is restricted to defined areas of
PDAC/CAF interaction while absent in chronic pancreatitis,
which suggests that its expression is highly dependent on local
factors coming from the neighboring carcinoma cells. In that
sense, COL11A1 and CK7 co-expression in the same cell
could either mean that the cell is a tumoral epithelial cell in the
process of EMT (with the double epithelial/mesenchymal
phenotype) or that the cell is a mesenchymal stem cell
presenting with the double phenotype. To this effect, our team
showed in previous reports [56,57] that the association of
Capan-1 cells with CAFs results in a very aggressive orthotopic
human pancreatic carcinoma xenograft model, with aggressive
local tumor growth and the presence of metastasis.
Our analysis has shown that proCOL11A1 presents a strong
immunohistochemical staining within the desmoplastic stroma
of PDAC, but has a null or very weak expression in chronic
pancreatitis. Moreover, proCOL11A1 expression could be seen
in microscopic fields where tumor cells were not detected, an
observation that highlights the usefulness of this marker in
helping pathologists differentiate PDAC from CP. Both
conditions are characterized by inflammatory events. On the
basis of sample biopsies alone, and in clinical settings, it can
be difficult to distinguish pancreatic cancer from chronic
pancreatitis, and the frequent association of chronic
pancreatitis with pancreatic cancer causes additional
diagnostic problems. Immunohistochemical staining has been
used to differentiate pancreatic adenocarcinoma from chronic
pancreatitis (Table S7 in File S1). In general, the higher
sensitivity and specificity values obtained in most cases were
with small sample sizes and weak power tests (high type II
error), and therefore, the differentiation of pancreatic carcinoma
from chronic pancreatitis with those immunostaining markers
would not be statistically significant. The sample size used in
our immunohistochemical study (n=78) allowed us to achieve
statistical significance with a statistical power of 90%. The
pathologist score of the anti-proCOL11A1 immunostaining also
allows classification of the patients with 90% accuracy; that is,
it makes it easier to distinguish between chronic pancreatitis
and PDAC in clinical settings. Our score has two components:
number of positive fields (0-4) and the field’s staining intensity
(0-3), giving a total score of 0-12. Both components can
individually already discriminate between PDAC and CP, using
the criterion of more than 1 positive field, or ≥ 1% of positive
cells in relation to the stromal surface (Table S8 in File S1). We
reviewed the false positive/negative cases with the monoclonal
antibody. There were three PDAC cases with zero points
(Table S3 in File S1: cases 41, 44 and 54); one was a case
whose diagnosis was not ultimately established with accuracy
(distal common bile duct cancer vs. PDAC). The maximum
score in CP patients was 4 points in two patients, one of them
suffering from autoimmune pancreatitis (AIP) (Table S3 in File
S1: cases 15 and 31, Figure S3 in File S1). Its preoperative
usefulness with core needle biopsy, as we demonstrated in
breast cancer [51,52], needs to be investigated in pancreatic
cancer. Whether proCOL11A1 can be useful as a differential
diagnosis marker using non-invasive techniques must be
explored as well. The significance of the expression of pro-
Col11A1 in our AIP case should be explored in view of its
possible relationship with the particular composition of
collagens in the AIP stroma. If this finding is confirmed by
further studies, it could add data that will contribute to an
improved understanding of the pathogenesis of this disease
and the development of new diagnostic biomarkers for AIP.
Our gene expression data and the subsequent
immunohistochemical validation stress that the differential
expression of COL11A1 has diagnostic significance, as it
allows for distinction between CP and PDAC. We have
generated a highly specific human proCOL11A1- antibody that
can be applied in order to immunoscreen the expression of the
protein in human tissues. In investigations on CAFs, it is
fundamental to determine which stromal cells are truly cancer-
specific and which ones are non-cancer-specific activated
fibroblasts. In this field, the application of anti-proCOL11A1
could be useful. Our work shows that PDAC stromal fibroblasts
stain with anti-proCOL11A1. They have the morphological
characteristics of myofibroblasts and a subgroup thereof could
be stellate cells. Our data suggest that cells that express
proCOL11A1 could participate in EMT. The fact that the
staining with anti-proCOL11A1 is negative in normal pancreas
stromal cells and almost absent in a benign inflammatory
process like CP suggests that this staining could be a specific
marker for CAFs. Therefore, anti-proCOL11A1 can be seen to
be a significant marker of high diagnostic and clinical
relevance.
Overexpression of COL11A1 in Pancreatic Cancer
PLOS ONE | www.plosone.org 11 October 2013 | Volume 8 | Issue 10 | e78327
12. Supporting Information
File S1. Supporting Figures and Tables.
Figure S1, Immunohistochemical staining with anti-
proCOL11A1 pAb of Chronic Pancreatitis (CP) and Pancreatic
Ductal Adenocarcinoma (PDAC) . A: CP (H&E). B: CP negative
anti-proCOL11A1 stain. C: PDAC (H&E). D: PDAC positive
anti-proCOL11A1 stain. E and F: Detail of anti-proCOL11A1
expression in stromal cells of PDAC. H & E indicates
Hematoxilin and Eosin (all photomicrographs at ×400). Figure
S2, Immunohistochemical staining of normal pancreas with
different fibroblastic markers. A, anti-proCOL11A1 mAb,
positive control (inset): cell line A204; B, desmin, positive
control (inset): appendix; C, alpha-Smooth Muscle Actin,
positive control (inset): appendix; D, vimentin, positive control
(inset) : appendix) ; E, GFAP, positive control (inset) :
astrocytoma). Serial sections (all photomicrographs at ×200,
Scale bar 200 μm). Figure S3, Immunohistochemical staining
of autoimmune pancreatitis with different fibroblastic markers.
A, anti-proCOL11A1 mAb , positive control (inset): cell line
A204); B, desmin, positive control (inset): appendix); C, alpha-
Smooth Muscle Actin , positive control (inset) : appendix) ; D,
vimentin , positive control (inset): appendix) ; E, GFAP, positive
control (inset) : astrocytoma). Serial sections (all
photomicrographs at ×200, Scale bar 200 μm). Table S1,
Comparison of gene expression data from microarray analysis
(Affymetrix GeneChips). Table S2, Quantitative analysis of cell
distribution in peritumoral pancreatic cancer tissue. Table S3,
Patient characteristics and immunohistochemistry score with
anti-proCOL11A1 pAb and mAb. Table S4, Discrimination
between PDAC (pancreatic ductal adenocarcinoma) and CP
(chronic pancreatitis) using pathologist score. Table S5,
Summary statistics of immunohistochemical analyses. Table
S6, Area under the ROC curve (AUC) of image analysis
parameters (pancreatic ductal adenocarcinoma) PDAC vs. CP
(chronic pancreatitis). Table S7, Discrimination between PDAC
(pancreatic ductal adenocarcinoma) and CP (chronic
pancreatitis) using various diagnostic markers in tissues. Table
S8, Discrimination PDAC (pancreatic ductal adenocarcinoma)
vs. CP (chronic pancreatitis) with anti-proCOL11A1 mAb by
components of score and total score.
(DOCX)
File S2. Global Gene Expression Analysis. Generation of a
rabbit polyclonal antiserum to the variable region of human
procollagen 11A1 (anti-proCOL11A1 pAb). SDS-PAGE and
Western-blots.
(DOCX)
Acknowledgements
The excellent technical assistance of Laura Suárez-Fernández
is greatly acknowledged.
Author Contributions
Conceived and designed the experiments: LB CGP JRT LSB.
Performed the experiments: LB MGO JRT JDAI JAG EGP.
Analyzed the data: LB CGP JGG PMR NGC LSG. Contributed
reagents/materials/analysis tools: LSB CGP PMR JRT. Wrote
the manuscript: LB CGP JRT JAG JDAI.
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Overexpression of COL11A1 in Pancreatic Cancer
PLOS ONE | www.plosone.org 13 October 2013 | Volume 8 | Issue 10 | e78327