This document discusses various techniques used to analyze hematologic malignancies including morphology, immunohistochemistry, flow cytometry, cytogenetics, and molecular studies. It provides details on karyotyping and fluorescent in situ hybridization (FISH), including examples of normal results and common abnormalities. The document also reviews molecular marker testing for various leukemias and lymphomas, highlighting frequently mutated genes and how to report testing results on disease forms. Case studies are presented to demonstrate how to interpret and report cytogenetic and molecular testing results.
This document describes the development and validation of screening panels using flow cytometry to identify hematolymphoid malignancies. Specifically, it details the development of a 14 antibody, 10 color myeloid/lymphoid screening tube and its validation in identifying lymphoma, leukemia, myelodysplastic syndromes, and other hematologic malignancies using over 1000 patient samples with high accuracy compared to standard diagnostics. It also describes developing a scoring system using this screening tube to help identify myelodysplastic syndromes.
Ten-Color, 14 Antibody Flow cytometry (FCM) Screening Tube for Lymphoprolifer...RajabAmr
This document describes the development and validation of a 10-color, 14-antibody flow cytometry screening tube for identifying lymphoproliferative disorders and myelodysplasia-related changes in bone marrow samples. The screening tube was optimized and validated in two phases: phase 1 focused on validation for lymphoma/leukemia screening by testing samples and comparing results, and phase 2 aims to validate its use for myelodysplasia screening. The screening tube can identify major populations, detect aberrant antigen expression, and establish clonality. It provides a standardized approach to streamline immunophenotyping and reduce costs compared to individual antibody tubes.
This document reports on the results of analyzing mutations in a cohort of 130 Indian patients with myeloproliferative neoplasms (MPNs). Key findings include:
- The most common mutations detected were JAK2 V617F (in up to 100% of PV cases, 57.6% of MF cases, and 61.7% of ET cases) and CALR exon 9 mutations (in 23.8% of total cases, 60.8% of JAK2/MPL-negative MF, and 50% of JAK2/MPL-negative ET).
- CALR type I and type II mutations were the most frequent CALR mutations observed. MPL mutations were found in up
EHA poster Genomic Analysis by MyAML with ChemotherapySuzanne M. Graham
1. This study analyzed genomic mutations from 24 AML patient samples using MyAML sequencing and correlated the mutation data with in vitro drug sensitivity profiles to identify associations between specific mutations and drug responses.
2. On average, each sample exhibited 129 missense mutations and over 12 coding insertions/deletions identified by MyAML.
3. Statistical analysis revealed several significant correlations between individual gene mutations and chemotherapy drug sensitivities, though further validation is still needed. The aim is to determine if genomic data can help predict optimal drug treatments for AML patients.
This document describes a clinical study that evaluated using liquid biopsies to determine mutational profiles in advanced non-small cell lung cancer (NSCLC) patients. The study analyzed circulating tumor DNA (ctDNA) and circulating tumor cells (CTCs) in 60 advanced NSCLC patients using a highly sensitive plasma genotyping assay. The results showed concordance rates of up to 90% between tissue and blood samples for EGFR, KRAS, and ALK mutations. The T790M resistance mutation was detected in 50% of patients who progressed on EGFR tyrosine kinase inhibitors. Serial monitoring of mutations in paired samples found changes in 83% of cases in response to treatment. ctDNA analysis detected additional mutations in 40% of patients
The Molecular Diagnostics Laboratory processes around 20,000 specimens annually for various testing categories including infectious diseases, hematological malignancies, solid tumor malignancies, and inherited disorders. Next generation sequencing is proposed as a solution to provide more comprehensive genetic testing by simultaneously evaluating variations in multiple genes from a single sample. While next generation sequencing offers advantages over traditional testing methods, there are also technical and clinical challenges to address in implementation, including optimizing detection of structural variations and interpretation of variants with unclear clinical significance.
This document describes the development and validation of screening panels using flow cytometry to identify hematolymphoid malignancies. Specifically, it details the development of a 14 antibody, 10 color myeloid/lymphoid screening tube and its validation in identifying lymphoma, leukemia, myelodysplastic syndromes, and other hematologic malignancies using over 1000 patient samples with high accuracy compared to standard diagnostics. It also describes developing a scoring system using this screening tube to help identify myelodysplastic syndromes.
Ten-Color, 14 Antibody Flow cytometry (FCM) Screening Tube for Lymphoprolifer...RajabAmr
This document describes the development and validation of a 10-color, 14-antibody flow cytometry screening tube for identifying lymphoproliferative disorders and myelodysplasia-related changes in bone marrow samples. The screening tube was optimized and validated in two phases: phase 1 focused on validation for lymphoma/leukemia screening by testing samples and comparing results, and phase 2 aims to validate its use for myelodysplasia screening. The screening tube can identify major populations, detect aberrant antigen expression, and establish clonality. It provides a standardized approach to streamline immunophenotyping and reduce costs compared to individual antibody tubes.
This document reports on the results of analyzing mutations in a cohort of 130 Indian patients with myeloproliferative neoplasms (MPNs). Key findings include:
- The most common mutations detected were JAK2 V617F (in up to 100% of PV cases, 57.6% of MF cases, and 61.7% of ET cases) and CALR exon 9 mutations (in 23.8% of total cases, 60.8% of JAK2/MPL-negative MF, and 50% of JAK2/MPL-negative ET).
- CALR type I and type II mutations were the most frequent CALR mutations observed. MPL mutations were found in up
EHA poster Genomic Analysis by MyAML with ChemotherapySuzanne M. Graham
1. This study analyzed genomic mutations from 24 AML patient samples using MyAML sequencing and correlated the mutation data with in vitro drug sensitivity profiles to identify associations between specific mutations and drug responses.
2. On average, each sample exhibited 129 missense mutations and over 12 coding insertions/deletions identified by MyAML.
3. Statistical analysis revealed several significant correlations between individual gene mutations and chemotherapy drug sensitivities, though further validation is still needed. The aim is to determine if genomic data can help predict optimal drug treatments for AML patients.
This document describes a clinical study that evaluated using liquid biopsies to determine mutational profiles in advanced non-small cell lung cancer (NSCLC) patients. The study analyzed circulating tumor DNA (ctDNA) and circulating tumor cells (CTCs) in 60 advanced NSCLC patients using a highly sensitive plasma genotyping assay. The results showed concordance rates of up to 90% between tissue and blood samples for EGFR, KRAS, and ALK mutations. The T790M resistance mutation was detected in 50% of patients who progressed on EGFR tyrosine kinase inhibitors. Serial monitoring of mutations in paired samples found changes in 83% of cases in response to treatment. ctDNA analysis detected additional mutations in 40% of patients
The Molecular Diagnostics Laboratory processes around 20,000 specimens annually for various testing categories including infectious diseases, hematological malignancies, solid tumor malignancies, and inherited disorders. Next generation sequencing is proposed as a solution to provide more comprehensive genetic testing by simultaneously evaluating variations in multiple genes from a single sample. While next generation sequencing offers advantages over traditional testing methods, there are also technical and clinical challenges to address in implementation, including optimizing detection of structural variations and interpretation of variants with unclear clinical significance.
This document provides an overview of flow cytometry, including its principles, instrumentation, applications in hematology and oncology, and techniques for analyzing results. Flow cytometry works by passing single cells in a fluid stream through a laser beam, which detects cellular properties like size, structure, and antigen expression. It allows for multiparametric analysis of up to 12 parameters simultaneously on thousands of cells. Key applications include immunophenotyping of leukemias and lymphomas, DNA analysis, and monitoring of minimal residual disease.
Ion Torrent™ semiconductor sequencing, combined with Ion AmpliSeq™ technology, provides simultaneous identification of copy number variants (CNVs), single nucleotide variants (SNVs), and small insertions and deletions (indels) from a research sample by means of a single integrated workflow. 100% of assayed CNV regions (n=34) were detected using a reference set of 31 samples with known chromosomal aberrations. Low-pass whole-genome sequencing data, with approximately 0.01x read coverage, allowed the rapid ≤10 hour analysis of aneuploidies from research samples with extremely low initial input DNA amounts—even from a single cell. Using a control set of 10 samples with known chromosomal aberrations, 100% of the copy number changes were found, ranging from gains or losses of whole chromosomes to subchromosomal alterations tens of megabases (Mb) in size. The Ion PGM™ System minimizes the high cost and complexity of next-generation sequencing and, with Ion Reporter™ Software, facilitates user-defined CNV and aneuploidy detection, with three sensitivity options so that copy number analysis workflows can be tuned to achieve desired levels of sensitivity and specificity.
Dna Based Molecular Diagnosis(CMH)Final (1).pptxRajKumarSingha5
The document discusses Abu Sufian, the DNA analyst at the 1st molecular diagnostic lab in Bangladesh. It provides information on DNA, RNA, molecular diagnostic techniques like PCR, sequencing, and applications in genetic disease diagnosis, oncology, microbiology, and more. The lab offers diagnostic tests for conditions like thalassemia, aneuploidy, microdeletions and performs transplant matching.
Comprehensive molecular characterization of gastric adenocarcinoma
The Cancer Genome Atlas Research Network ( TCGA)
Nature, July 2014
JC, by
Mohsin Maqbool, AIIMS
The karyotype shows a deletion of the long arm of chromosome 5 and an extra copy of chromosome 9. Deletions and extra copies of chromosomes are common abnormalities in chronic lymphocytic leukemia (CLL) that help determine prognosis. Deletion of the long arm of chromosome 5 is seen in a subset of CLL patients and is associated with poor prognosis.
Minimal Residual Disease in leukaemia andhematological malignanciessadiya97
1) Minimal residual disease (MRD) refers to small amounts of leukemia cells that remain after treatment but are undetectable by conventional methods. Detecting MRD is important for prognosis, treatment stratification, and detecting relapse early.
2) Techniques for measuring MRD include morphology, immunophenotyping, cytogenetics, PCR, and next-generation sequencing. PCR methods like quantitative real-time PCR provide a sensitive and quantitative way to detect gene fusions and rearrangements specific to the leukemia.
3) Real-time PCR allows accurate quantification of residual disease by measuring fluorescent signals during amplification. Methods using probes that bind to amplified DNA allow detection of specific fusion genes associated with different leukemias.
Next generation sequencing of the whole transcriptome enables high resolution measurement of gene expression activity in different tissue and cell types. This methodology provides an in depth study of known transcripts and depending on the data analysis, allows identification of additional transcript types such as transcript variants, fusion transcripts, and small and long ncRNAs.
In this study we performed RNA-Seq using the Ion Torrent™ sequencing platform to compare the expression profile of testicular germ cell cancers (seminoma type, n=3) and normal testis (n=3). Using Partek Flow® 3.0 and TopHat/BowTie or Star aligners, we aligned the reads to the human genome and mapped sequences to the RefSeq database. Differentially expressed genes were identified and screened with additional germ cell tumors.
PCA analysis showed clear separation of the two sample types indicating biological differences. List of differentially expressed genes generated from TopHat/Bowtie and Star were similar. We identified a large number of genes that were up and down regulated with high degree of significance (p<0.01,>2X FC (fold change)). These included genes related to testicular tissue type, stem cell pluripotency (NANOG; POU5F1) and proliferation (KRAS, CCND2).
In addition, a number of differentially expressed noncoding RNAs were identified (SNORD12B, XIST). The method was validated on a small set of genes (n=20) using qPCR (TaqMan® Assays) and were found to be correlated. We used the OpenArray® platform to quickly and quantitatively screen 102 differentially expressed genes and 10 endogenous control genes across a number of different testicular germ cell cancer types.
We used a complete work flow solution from sample prep to NGS to qPCR to compare the expression profile of normal testis and seminoma type germ cell tumors. From the NGS experiments we identified a large number of differentially expressed genes for qPCR screening with samples from different types of germ cell tumors. Results from these screening studies will be presented.
Predict the therapeutic effect of HDAC inhibitor panobinostat on leukemia by ...eilosei
Psanobinostat (LBH589) is a drug candidate in the process of Phase I to III clinical trials for various cancers including acute myeloid leukemia (AML) (DeWoskin and Million, 2013). It also showed anti-cancer effect in acute lymphoblastic leukemia (ALL) (Vilas-Zornoza A et al., 2012). The goal of our project is to predict the therapeutic effect of panobinostat on leukemia through the comparison of gene expression profiles in disease and drug treated cells. Our results predict that many disease signature gene expressions can be reversed upon panobinostat treatment. Moreover, we identified many leukemia-related oncogenes and tumor suppressor genes as the potential targets regulated by panobinostat.
Kshivets O. Lung Cancer: Early Detection and Diagnosis Oleg Kshivets
This document discusses a study examining the role of the immune system in the early detection and diagnosis of lung cancer. The study analyzed immune cell and humoral factors in 533 lung cancer patients and 282 patients with non-malignant lung conditions. The results showed that early detection of stage I-II lung cancer depended significantly on immune cell levels, monocyte/macrophage levels, and humoral immunity levels compared to non-malignant conditions. Diagnosis of lung cancer at all stages also depended significantly on immune cell subpopulations, macrophage levels, humoral factors, and neutrophil levels compared to non-malignant conditions. The immune system may thus provide valuable data to help with early detection and differential diagnosis of
Newer biomarkers,techniques & their inclusion in 2016 WHO classification for leukaemia/lymphomas increases the responsibility of the pathologists, requiring to develop an integrated multidisciplinary approach for reporting.
Pituitary Adenoma: How Registry and Statistical Learning Can Improve Care and...Allina Health
1. Statistical learning techniques like hierarchical clustering and k-means clustering were used to analyze immunohistochemistry (IHC) data from pituitary adenoma samples to develop a more accurate and efficient diagnostic algorithm.
2. The new algorithm stratifies adenomas into gonadotroph, corticotroph, or "null" categories based on expression of SF-1, Pit-1, and ACTH, reducing the number of required IHCs.
3. Testing on an independent validation set found the new algorithm provided a more accurate diagnosis in 39 of 59 cases compared to previous methods, using one-third fewer IHCs on average.
dkNET Webinar: Leveraging Computational Strategies to Identify Type 1 Diabete...dkNET
dkNET New Investigator Pilot Program in Bioinformatics Awardee Webinar Series
Presenter: Wenting Wu, PhD. Research Assistant Professor, Center for Diabetes and Metabolic Diseases, Department of Medical and Molecular Genetics, Associate Director of Data and Analytics Core for Center for Diabetes and Metabolic Diseases, Indiana University School of Medicine
Abstract
Type 1 diabetes (T1D) is an immune-mediated disease that results in insulin insufficiency and affects 0.3% of the population, including both children and adults. To support clinical trial efforts, there is an urgent need to develop reliable biomarkers capable of predicting T1D risk and guiding therapeutic interventions. Recently, whole blood bulk RNA sequencing has been used to guide T1D clinical trial design and assess response to disease modifying interventions. While the use of bulk RNA sequencing is cost-effective, these datasets provide limited information about cell specific gene expression changes. Here, we aimed to apply computational strategies to deconvolute cell type composition using cell specific gene expression references. Single-cell RNA sequencing (scRNA-seq) was conducted to profile peripheral blood mononuclear cells obtained from youth within recent T1D onset and age- and sex-matched controls and identified 31 distinct cell clusters. Using this pre-defined reference dataset, we ran computational algorithms CIBERSORTx and other deconvolution methods simultaneously to deconvolute cell proportions using public clinical trial data. We focused our initial analysis on data from the TN-20 Rituximab trial, which tested the anti-CD20 monoclonal antibody rituximab vs placebo in recent onset T1D. This talk will introduce recent advances of scRNA-seq techniques and computational deconvolution methods and demonstrate that how we apply different deconvolution approaches for secondary analysis of existing clinical trial data, in the purpose of linking cell specific immune signatures associated with drug responder status.
Upcoming webinars schedule: https://dknet.org/about/webinar
2015_Annual AACR_Poster_TROV Technology_Finalerin clark
1) Quantitative assays using enrichment PCR followed by NGS were developed to detect KRAS and EGFR mutations in urine and plasma ctDNA with single copy detection sensitivity.
2) In KRAS positive patients, median mutant ctDNA was 10 times higher in urine versus plasma.
3) Clinical utility is supported by studies showing correlation of urinary and plasma ctDNA with tumor burden, response to therapy, disease progression, and monitoring of minimal residual disease.
Assessment of TP53 Mutation Status in Breast Tumor Tissue using the "Ion Ampl...Thermo Fisher Scientific
TP53 mutations are found in 30% of breast tumors and are associated with poor prognosis in distinct subtypes of breast cancer. Direct sequencing is commonly used to obtain TP53 mutation status in tumor tissue, but has limitations in detection level and is time-consuming. Methods targeting hotspots is insufficient for TP53 analysis since the mutations are widely spread along the gene1. Here we describe the development of the Ion TorrentTM next-generation semiconductor sequencing and Ion AmpliSeqTM technology (Life TechnologiesTM).
1) Flow cytometry is used to measure multiple physical and chemical properties of cells in a fluid stream at a rate of thousands of cells per second. It is used to diagnose and classify leukemias based on antigen expression.
2) In leukemias, abnormal antigen expression patterns can include gain of antigens not normally expressed, abnormally increased or decreased levels of expression, or asynchronous antigen expression.
3) Flow cytometry utilizes light scattering and fluorescence to identify cell size, granularity, lineage, and maturation stage based on antigen expression. This immunophenotyping is essential for diagnosing and distinguishing between different types of leukemias.
The Prognostic Value of Nucleolar Organiser Regions in Colorectal CancerMichelle Fynes
Nucleolar organiser regions (AgNORs) are loops of ribosomal DNA which reflect the cellular activity or malignant potential of the cell and are identified by a specific staining technique. The purpose of this study was to assess the prognostic value of AgNORs in colorectal cancer and to compare it with other accepted prognostic methods.
Unrelated Cord Blood Transplantation In Adults with Hematological Malignancie...cordbloodsymposium
This document summarizes research on unrelated cord blood transplantation (UCBT) for adults with hematological malignancies. It provides updates from the Eurocord registry on over 11,000 UCBT cases. It then reviews outcomes from UCBT for specific diseases like acute lymphoblastic leukemia (ALL), acute myeloid leukemia (AML), and myelodysplastic syndrome (MDS). Favorable factors are identified such as disease status, age, and cell dose. Conditioning regimens and complications are also discussed. Surveys of UCBT for ALL and AML provide more detailed analyses of 2-year survival rates based on disease characteristics and transplant factors.
This presentation offers a general idea of the structure of seed, seed production, management of seeds and its allied technologies. It also offers the concept of gene erosion and the practices used to control it. Nursery and gardening have been widely explored along with their importance in the related domain.
More Related Content
Similar to TCT 2019 JBrunner Karyotype FISHMolecular Results (Final).pptx
This document provides an overview of flow cytometry, including its principles, instrumentation, applications in hematology and oncology, and techniques for analyzing results. Flow cytometry works by passing single cells in a fluid stream through a laser beam, which detects cellular properties like size, structure, and antigen expression. It allows for multiparametric analysis of up to 12 parameters simultaneously on thousands of cells. Key applications include immunophenotyping of leukemias and lymphomas, DNA analysis, and monitoring of minimal residual disease.
Ion Torrent™ semiconductor sequencing, combined with Ion AmpliSeq™ technology, provides simultaneous identification of copy number variants (CNVs), single nucleotide variants (SNVs), and small insertions and deletions (indels) from a research sample by means of a single integrated workflow. 100% of assayed CNV regions (n=34) were detected using a reference set of 31 samples with known chromosomal aberrations. Low-pass whole-genome sequencing data, with approximately 0.01x read coverage, allowed the rapid ≤10 hour analysis of aneuploidies from research samples with extremely low initial input DNA amounts—even from a single cell. Using a control set of 10 samples with known chromosomal aberrations, 100% of the copy number changes were found, ranging from gains or losses of whole chromosomes to subchromosomal alterations tens of megabases (Mb) in size. The Ion PGM™ System minimizes the high cost and complexity of next-generation sequencing and, with Ion Reporter™ Software, facilitates user-defined CNV and aneuploidy detection, with three sensitivity options so that copy number analysis workflows can be tuned to achieve desired levels of sensitivity and specificity.
Dna Based Molecular Diagnosis(CMH)Final (1).pptxRajKumarSingha5
The document discusses Abu Sufian, the DNA analyst at the 1st molecular diagnostic lab in Bangladesh. It provides information on DNA, RNA, molecular diagnostic techniques like PCR, sequencing, and applications in genetic disease diagnosis, oncology, microbiology, and more. The lab offers diagnostic tests for conditions like thalassemia, aneuploidy, microdeletions and performs transplant matching.
Comprehensive molecular characterization of gastric adenocarcinoma
The Cancer Genome Atlas Research Network ( TCGA)
Nature, July 2014
JC, by
Mohsin Maqbool, AIIMS
The karyotype shows a deletion of the long arm of chromosome 5 and an extra copy of chromosome 9. Deletions and extra copies of chromosomes are common abnormalities in chronic lymphocytic leukemia (CLL) that help determine prognosis. Deletion of the long arm of chromosome 5 is seen in a subset of CLL patients and is associated with poor prognosis.
Minimal Residual Disease in leukaemia andhematological malignanciessadiya97
1) Minimal residual disease (MRD) refers to small amounts of leukemia cells that remain after treatment but are undetectable by conventional methods. Detecting MRD is important for prognosis, treatment stratification, and detecting relapse early.
2) Techniques for measuring MRD include morphology, immunophenotyping, cytogenetics, PCR, and next-generation sequencing. PCR methods like quantitative real-time PCR provide a sensitive and quantitative way to detect gene fusions and rearrangements specific to the leukemia.
3) Real-time PCR allows accurate quantification of residual disease by measuring fluorescent signals during amplification. Methods using probes that bind to amplified DNA allow detection of specific fusion genes associated with different leukemias.
Next generation sequencing of the whole transcriptome enables high resolution measurement of gene expression activity in different tissue and cell types. This methodology provides an in depth study of known transcripts and depending on the data analysis, allows identification of additional transcript types such as transcript variants, fusion transcripts, and small and long ncRNAs.
In this study we performed RNA-Seq using the Ion Torrent™ sequencing platform to compare the expression profile of testicular germ cell cancers (seminoma type, n=3) and normal testis (n=3). Using Partek Flow® 3.0 and TopHat/BowTie or Star aligners, we aligned the reads to the human genome and mapped sequences to the RefSeq database. Differentially expressed genes were identified and screened with additional germ cell tumors.
PCA analysis showed clear separation of the two sample types indicating biological differences. List of differentially expressed genes generated from TopHat/Bowtie and Star were similar. We identified a large number of genes that were up and down regulated with high degree of significance (p<0.01,>2X FC (fold change)). These included genes related to testicular tissue type, stem cell pluripotency (NANOG; POU5F1) and proliferation (KRAS, CCND2).
In addition, a number of differentially expressed noncoding RNAs were identified (SNORD12B, XIST). The method was validated on a small set of genes (n=20) using qPCR (TaqMan® Assays) and were found to be correlated. We used the OpenArray® platform to quickly and quantitatively screen 102 differentially expressed genes and 10 endogenous control genes across a number of different testicular germ cell cancer types.
We used a complete work flow solution from sample prep to NGS to qPCR to compare the expression profile of normal testis and seminoma type germ cell tumors. From the NGS experiments we identified a large number of differentially expressed genes for qPCR screening with samples from different types of germ cell tumors. Results from these screening studies will be presented.
Predict the therapeutic effect of HDAC inhibitor panobinostat on leukemia by ...eilosei
Psanobinostat (LBH589) is a drug candidate in the process of Phase I to III clinical trials for various cancers including acute myeloid leukemia (AML) (DeWoskin and Million, 2013). It also showed anti-cancer effect in acute lymphoblastic leukemia (ALL) (Vilas-Zornoza A et al., 2012). The goal of our project is to predict the therapeutic effect of panobinostat on leukemia through the comparison of gene expression profiles in disease and drug treated cells. Our results predict that many disease signature gene expressions can be reversed upon panobinostat treatment. Moreover, we identified many leukemia-related oncogenes and tumor suppressor genes as the potential targets regulated by panobinostat.
Kshivets O. Lung Cancer: Early Detection and Diagnosis Oleg Kshivets
This document discusses a study examining the role of the immune system in the early detection and diagnosis of lung cancer. The study analyzed immune cell and humoral factors in 533 lung cancer patients and 282 patients with non-malignant lung conditions. The results showed that early detection of stage I-II lung cancer depended significantly on immune cell levels, monocyte/macrophage levels, and humoral immunity levels compared to non-malignant conditions. Diagnosis of lung cancer at all stages also depended significantly on immune cell subpopulations, macrophage levels, humoral factors, and neutrophil levels compared to non-malignant conditions. The immune system may thus provide valuable data to help with early detection and differential diagnosis of
Newer biomarkers,techniques & their inclusion in 2016 WHO classification for leukaemia/lymphomas increases the responsibility of the pathologists, requiring to develop an integrated multidisciplinary approach for reporting.
Pituitary Adenoma: How Registry and Statistical Learning Can Improve Care and...Allina Health
1. Statistical learning techniques like hierarchical clustering and k-means clustering were used to analyze immunohistochemistry (IHC) data from pituitary adenoma samples to develop a more accurate and efficient diagnostic algorithm.
2. The new algorithm stratifies adenomas into gonadotroph, corticotroph, or "null" categories based on expression of SF-1, Pit-1, and ACTH, reducing the number of required IHCs.
3. Testing on an independent validation set found the new algorithm provided a more accurate diagnosis in 39 of 59 cases compared to previous methods, using one-third fewer IHCs on average.
dkNET Webinar: Leveraging Computational Strategies to Identify Type 1 Diabete...dkNET
dkNET New Investigator Pilot Program in Bioinformatics Awardee Webinar Series
Presenter: Wenting Wu, PhD. Research Assistant Professor, Center for Diabetes and Metabolic Diseases, Department of Medical and Molecular Genetics, Associate Director of Data and Analytics Core for Center for Diabetes and Metabolic Diseases, Indiana University School of Medicine
Abstract
Type 1 diabetes (T1D) is an immune-mediated disease that results in insulin insufficiency and affects 0.3% of the population, including both children and adults. To support clinical trial efforts, there is an urgent need to develop reliable biomarkers capable of predicting T1D risk and guiding therapeutic interventions. Recently, whole blood bulk RNA sequencing has been used to guide T1D clinical trial design and assess response to disease modifying interventions. While the use of bulk RNA sequencing is cost-effective, these datasets provide limited information about cell specific gene expression changes. Here, we aimed to apply computational strategies to deconvolute cell type composition using cell specific gene expression references. Single-cell RNA sequencing (scRNA-seq) was conducted to profile peripheral blood mononuclear cells obtained from youth within recent T1D onset and age- and sex-matched controls and identified 31 distinct cell clusters. Using this pre-defined reference dataset, we ran computational algorithms CIBERSORTx and other deconvolution methods simultaneously to deconvolute cell proportions using public clinical trial data. We focused our initial analysis on data from the TN-20 Rituximab trial, which tested the anti-CD20 monoclonal antibody rituximab vs placebo in recent onset T1D. This talk will introduce recent advances of scRNA-seq techniques and computational deconvolution methods and demonstrate that how we apply different deconvolution approaches for secondary analysis of existing clinical trial data, in the purpose of linking cell specific immune signatures associated with drug responder status.
Upcoming webinars schedule: https://dknet.org/about/webinar
2015_Annual AACR_Poster_TROV Technology_Finalerin clark
1) Quantitative assays using enrichment PCR followed by NGS were developed to detect KRAS and EGFR mutations in urine and plasma ctDNA with single copy detection sensitivity.
2) In KRAS positive patients, median mutant ctDNA was 10 times higher in urine versus plasma.
3) Clinical utility is supported by studies showing correlation of urinary and plasma ctDNA with tumor burden, response to therapy, disease progression, and monitoring of minimal residual disease.
Assessment of TP53 Mutation Status in Breast Tumor Tissue using the "Ion Ampl...Thermo Fisher Scientific
TP53 mutations are found in 30% of breast tumors and are associated with poor prognosis in distinct subtypes of breast cancer. Direct sequencing is commonly used to obtain TP53 mutation status in tumor tissue, but has limitations in detection level and is time-consuming. Methods targeting hotspots is insufficient for TP53 analysis since the mutations are widely spread along the gene1. Here we describe the development of the Ion TorrentTM next-generation semiconductor sequencing and Ion AmpliSeqTM technology (Life TechnologiesTM).
1) Flow cytometry is used to measure multiple physical and chemical properties of cells in a fluid stream at a rate of thousands of cells per second. It is used to diagnose and classify leukemias based on antigen expression.
2) In leukemias, abnormal antigen expression patterns can include gain of antigens not normally expressed, abnormally increased or decreased levels of expression, or asynchronous antigen expression.
3) Flow cytometry utilizes light scattering and fluorescence to identify cell size, granularity, lineage, and maturation stage based on antigen expression. This immunophenotyping is essential for diagnosing and distinguishing between different types of leukemias.
The Prognostic Value of Nucleolar Organiser Regions in Colorectal CancerMichelle Fynes
Nucleolar organiser regions (AgNORs) are loops of ribosomal DNA which reflect the cellular activity or malignant potential of the cell and are identified by a specific staining technique. The purpose of this study was to assess the prognostic value of AgNORs in colorectal cancer and to compare it with other accepted prognostic methods.
Unrelated Cord Blood Transplantation In Adults with Hematological Malignancie...cordbloodsymposium
This document summarizes research on unrelated cord blood transplantation (UCBT) for adults with hematological malignancies. It provides updates from the Eurocord registry on over 11,000 UCBT cases. It then reviews outcomes from UCBT for specific diseases like acute lymphoblastic leukemia (ALL), acute myeloid leukemia (AML), and myelodysplastic syndrome (MDS). Favorable factors are identified such as disease status, age, and cell dose. Conditioning regimens and complications are also discussed. Surveys of UCBT for ALL and AML provide more detailed analyses of 2-year survival rates based on disease characteristics and transplant factors.
Similar to TCT 2019 JBrunner Karyotype FISHMolecular Results (Final).pptx (20)
This presentation offers a general idea of the structure of seed, seed production, management of seeds and its allied technologies. It also offers the concept of gene erosion and the practices used to control it. Nursery and gardening have been widely explored along with their importance in the related domain.
Microbial interaction
Microorganisms interacts with each other and can be physically associated with another organisms in a variety of ways.
One organism can be located on the surface of another organism as an ectobiont or located within another organism as endobiont.
Microbial interaction may be positive such as mutualism, proto-cooperation, commensalism or may be negative such as parasitism, predation or competition
Types of microbial interaction
Positive interaction: mutualism, proto-cooperation, commensalism
Negative interaction: Ammensalism (antagonism), parasitism, predation, competition
I. Mutualism:
It is defined as the relationship in which each organism in interaction gets benefits from association. It is an obligatory relationship in which mutualist and host are metabolically dependent on each other.
Mutualistic relationship is very specific where one member of association cannot be replaced by another species.
Mutualism require close physical contact between interacting organisms.
Relationship of mutualism allows organisms to exist in habitat that could not occupied by either species alone.
Mutualistic relationship between organisms allows them to act as a single organism.
Examples of mutualism:
i. Lichens:
Lichens are excellent example of mutualism.
They are the association of specific fungi and certain genus of algae. In lichen, fungal partner is called mycobiont and algal partner is called
II. Syntrophism:
It is an association in which the growth of one organism either depends on or improved by the substrate provided by another organism.
In syntrophism both organism in association gets benefits.
Compound A
Utilized by population 1
Compound B
Utilized by population 2
Compound C
utilized by both Population 1+2
Products
In this theoretical example of syntrophism, population 1 is able to utilize and metabolize compound A, forming compound B but cannot metabolize beyond compound B without co-operation of population 2. Population 2is unable to utilize compound A but it can metabolize compound B forming compound C. Then both population 1 and 2 are able to carry out metabolic reaction which leads to formation of end product that neither population could produce alone.
Examples of syntrophism:
i. Methanogenic ecosystem in sludge digester
Methane produced by methanogenic bacteria depends upon interspecies hydrogen transfer by other fermentative bacteria.
Anaerobic fermentative bacteria generate CO2 and H2 utilizing carbohydrates which is then utilized by methanogenic bacteria (Methanobacter) to produce methane.
ii. Lactobacillus arobinosus and Enterococcus faecalis:
In the minimal media, Lactobacillus arobinosus and Enterococcus faecalis are able to grow together but not alone.
The synergistic relationship between E. faecalis and L. arobinosus occurs in which E. faecalis require folic acid
Mechanisms and Applications of Antiviral Neutralizing Antibodies - Creative B...Creative-Biolabs
Neutralizing antibodies, pivotal in immune defense, specifically bind and inhibit viral pathogens, thereby playing a crucial role in protecting against and mitigating infectious diseases. In this slide, we will introduce what antibodies and neutralizing antibodies are, the production and regulation of neutralizing antibodies, their mechanisms of action, classification and applications, as well as the challenges they face.
JAMES WEBB STUDY THE MASSIVE BLACK HOLE SEEDSSérgio Sacani
The pathway(s) to seeding the massive black holes (MBHs) that exist at the heart of galaxies in the present and distant Universe remains an unsolved problem. Here we categorise, describe and quantitatively discuss the formation pathways of both light and heavy seeds. We emphasise that the most recent computational models suggest that rather than a bimodal-like mass spectrum between light and heavy seeds with light at one end and heavy at the other that instead a continuum exists. Light seeds being more ubiquitous and the heavier seeds becoming less and less abundant due the rarer environmental conditions required for their formation. We therefore examine the different mechanisms that give rise to different seed mass spectrums. We show how and why the mechanisms that produce the heaviest seeds are also among the rarest events in the Universe and are hence extremely unlikely to be the seeds for the vast majority of the MBH population. We quantify, within the limits of the current large uncertainties in the seeding processes, the expected number densities of the seed mass spectrum. We argue that light seeds must be at least 103 to 105 times more numerous than heavy seeds to explain the MBH population as a whole. Based on our current understanding of the seed population this makes heavy seeds (Mseed > 103 M⊙) a significantly more likely pathway given that heavy seeds have an abundance pattern than is close to and likely in excess of 10−4 compared to light seeds. Finally, we examine the current state-of-the-art in numerical calculations and recent observations and plot a path forward for near-future advances in both domains.
Compositions of iron-meteorite parent bodies constrainthe structure of the pr...Sérgio Sacani
Magmatic iron-meteorite parent bodies are the earliest planetesimals in the Solar System,and they preserve information about conditions and planet-forming processes in thesolar nebula. In this study, we include comprehensive elemental compositions andfractional-crystallization modeling for iron meteorites from the cores of five differenti-ated asteroids from the inner Solar System. Together with previous results of metalliccores from the outer Solar System, we conclude that asteroidal cores from the outerSolar System have smaller sizes, elevated siderophile-element abundances, and simplercrystallization processes than those from the inner Solar System. These differences arerelated to the formation locations of the parent asteroids because the solar protoplane-tary disk varied in redox conditions, elemental distributions, and dynamics at differentheliocentric distances. Using highly siderophile-element data from iron meteorites, wereconstruct the distribution of calcium-aluminum-rich inclusions (CAIs) across theprotoplanetary disk within the first million years of Solar-System history. CAIs, the firstsolids to condense in the Solar System, formed close to the Sun. They were, however,concentrated within the outer disk and depleted within the inner disk. Future modelsof the structure and evolution of the protoplanetary disk should account for this dis-tribution pattern of CAIs.
Evidence of Jet Activity from the Secondary Black Hole in the OJ 287 Binary S...Sérgio Sacani
Wereport the study of a huge optical intraday flare on 2021 November 12 at 2 a.m. UT in the blazar OJ287. In the binary black hole model, it is associated with an impact of the secondary black hole on the accretion disk of the primary. Our multifrequency observing campaign was set up to search for such a signature of the impact based on a prediction made 8 yr earlier. The first I-band results of the flare have already been reported by Kishore et al. (2024). Here we combine these data with our monitoring in the R-band. There is a big change in the R–I spectral index by 1.0 ±0.1 between the normal background and the flare, suggesting a new component of radiation. The polarization variation during the rise of the flare suggests the same. The limits on the source size place it most reasonably in the jet of the secondary BH. We then ask why we have not seen this phenomenon before. We show that OJ287 was never before observed with sufficient sensitivity on the night when the flare should have happened according to the binary model. We also study the probability that this flare is just an oversized example of intraday variability using the Krakow data set of intense monitoring between 2015 and 2023. We find that the occurrence of a flare of this size and rapidity is unlikely. In machine-readable Tables 1 and 2, we give the full orbit-linked historical light curve of OJ287 as well as the dense monitoring sample of Krakow.
1. TRAINING & DEVELOPMENT | 1 .
Reporting Karyotype, FISH & Molecular Results
Janet Brunner-Grady, PA-C
February 2019
2. TRAINING & DEVELOPMENT | 2 .
Hematologic Malignancy Evaluation
• Histology/ Morphology (Least sensitive)
– What the cells look like
• Immunohistochemistry (IHC)
– Staining the cells to identify specific markers
• Flow cytometry
– Looks at individual cells based on staining for specific markers
• Cytogenetics
– Karyotype
- FISH analysis
• Molecular studies (Most sensitive)
– Identifying abnormal genes and/or gene products
3. TRAINING & DEVELOPMENT | 3 .
Types of Cytogenetic Analysis
• Karyotype vs. FISH
Karyotype- is the characterization of structural and numerical changes in
chromosomes while cells are dividing. They are displayed as a systematized
arrangement of chromosome pairs in descending order of size.
FISH (Fluorescent in situ hybridization)-
• A molecular cytogenetic technique using fluorescent probes that bind to a
specific part of a chromosome
• Used to detect the presence or absence of specific DNA sequences on
chromosomes
5. TRAINING & DEVELOPMENT | 5 .
Chromosomal Banding
Giemsa staining (or G-banding)
of chromosomes reveals
characteristic patterns of
horizontal bands like bar codes.
8. TRAINING & DEVELOPMENT | 8 .
Definitions of a Clone
• Two or more cells with gain of a specific chromosome (e.g.,
trisomy 8 or +8)
• Two or more cells with the same structural chromosomal
abnormality (e.g., t(9;22))
• Three or more cells with loss of a specific chromosome (e.g.,
monosomy 7 or -7)
9. TRAINING & DEVELOPMENT | 9 .
Types of FISH probes
• Centromere enumeration probes (CEP)
– Monitors number of a specific chromosome in a cell (e.g., trisomy 8
or +8)
• Locus specific probes
– Used to rule out deletions, gains or rearrangements of specific loci
(e.g., del(7q) or del(7)(q22q31))
10. TRAINING & DEVELOPMENT | 10 .
Types of FISH probes (continued)
• Dual fusion probes
– Used to confirm presence of a translocation (e.g., t(9;22))
– Fusion signal on each partner chromosome
– Highly specific (very low false positives)
• Break-apart probes
– Used to confirm rearrangements of genes
– 3’ portion of gene or region in one color, 5’ in another
– If rearranged, colors are separated
11. TRAINING & DEVELOPMENT | 11 .
Examples of karyotype & FISH abnormalities
• Trisomy 8 (or +8) using CEP
• Translocation of chromosome 9 & 22 (t(9;22)) using dual-
fusion probe
17. TRAINING & DEVELOPMENT | 17 .
Case Study #1
• The following karyotype is from a 55 y/o WM with newly
diagnosed AML.
• Cytogenetic report-
20 metaphases analyzed
43XY, add(4)(q21), add(5)(q11.2), add 7(q11.2),
-11, add(12)(p11.2), add(15)(p11.2), -16, -18, add(19)(q13.3),
add(22)(p11.2)[4]
46,XY[16]
18. TRAINING & DEVELOPMENT | 18 .
Case Study #1
• What to report on the Pre-TED Disease form (F2402)….
• Cytogenetic report
43XY, add(4)(q21), add(5)(q11.2), add(7)(q11.2),
-11, add(12)(p11.2), add(15)(p11.2), -16, -18, add(19)(q13.3),
add(22)(p11.2)
19. TRAINING & DEVELOPMENT | 19 .
Case Study #1
• F2402 r3 AML disease section Q3-89
Cytogenetics tested via karyotyping:
• There are three monosomy chromosomes listed in the report: -11, -16,
-18
• Q18 option ‘-18’ would be checked, while the -11 & -16 would be
reported in Q19 ‘Specify other abnormality’
20. TRAINING & DEVELOPMENT | 20 .
Case Study #1
• How to report the rest of the abnormalities-
add(4q), add(5q), add(7q), add(12p), add(15p), add(19q) & add(22p)
Q18 Specify abnormalities
• All the abnormalities listed above would be reported in Q19 or
simply write “See attached cytogenetic report”.
21. TRAINING & DEVELOPMENT | 21 .
CIBMTR Request
• Please submit a copy of the chromosome reports (karyotype
and /or FISH)
• It will decrease the number of queries sent related to
chromosome abnormalities!
22. TRAINING & DEVELOPMENT | 22 .
Case Study #2
• The following karyotype is from a 10 y/o AAF with relapsed
ALL.
• Cytogenetic report-
20 metaphases analyzed
28, X, +X, +8, +10, +18, +21[7]; 46, XX[13]
Interpretation: near haploid clone detected
• The report could have been written this way- 28,XX,-1,-2,-3,
-4,-5,-6,-7,-9,-11,-12,-13,-14,-15,-16,-17,-19,-20,-22[7];
46,XX[13]
23. TRAINING & DEVELOPMENT | 23 .
Case Study #2
• How to report the following karyotype on the Pre-TED
Disease form (F2402 r3)…..
28, X, +X, +8, +10, +18, +21[7]; 46, XX[13]
• How would you answer Q104?
A) Check options +8 & +21
B) None of the abnormalities should be reported here
24. TRAINING & DEVELOPMENT | 24 .
Case Study #2
• Keep in mind this karyotype was a “near haploid clone”.
What does that even mean?
– It means most of the chromosomes only had one copy instead of
the normal two.
– In this case, indicating +8, +10, +18 & +21 means there are two
copies and not three copies as in the case of a trisomy finding.
28, X, +X, +8, +10, +18, +21[7]; 46, XX[13]
25. TRAINING & DEVELOPMENT | 25 .
Case Study #2
• How to report the rest of the abnormalities…
-1,-2,-3,-4,-5,-6,-7,-9,-11,-12,-13,-14,-15,-16,-17,-19,-20,-22
26. TRAINING & DEVELOPMENT | 26 .
Case Study #2
• How to report the rest of the abnormalities…
-1,-2,-3,-4,-5,-6,-9,-11,-12,-13,-14,-15,-16,-17,-19,-20,-22
Q104
• ‘Hypodiploid’ and ‘Other abnormality’ would be checked
• Report all the remaining abnormalities in Q105 or write “See
attached cytogenetic report”.
27. TRAINING & DEVELOPMENT | 27 .
CIBMTR Request
• Please submit a copy of the chromosome reports (karyotype
and /or FISH)
• Again, it will decrease the number of queries sent related to
chromosome abnormalities!
28. TRAINING & DEVELOPMENT | 28 .
Case Study #3
• Interpreting FISH results can be a challenge….
– The CEP 8 (8 centromere) and D20S108 (20q12) dual-color probe set
were used for enumeration analysis. Of 200 cells examined, 15 (7.5%)
demonstrated three signals for the 8 centromere and two signals for
20q12.
– The RUNX1T1 (8q21.3) / RUNX1 (21q22.1) dual-color, dual fusion probe
set was used for detection of RUNX1T1/RUNX1 fusion associated with
t(8;21). Of 200 cells examined, 14 (7%) demonstrated three signals for
RUNX1T1 and two signals for RUNX1. There was no evidence of
fusion.
29. TRAINING & DEVELOPMENT | 29 .
Case Study #3
• What do the FISH results tell us?
• 15 of 200 cells (7.5%) demonstrated three signals for the 8 centromere
and two signals for 20q12.
The three signals indicate the presence of 3 copies of chromosome 8 (i.e.,
trisomy 8 or +8) and the two signals for 20q12 indicate a normal copy number of
chromosome 20.
• 14 of 200 cells (7%) demonstrated three signals for RUNX1T1
(associated with chromosome 8q21.3) and 2 signals for RUNX1
(21q22.1).
The three signals indicate the presence of 3 copies of chromosome 8 (i.e.,
trisomy 8 or +8) and the 2 signals for RUNX1 (21q22.1) indicate a normal copy
number of chromosome 21. There’s no evidence of t(8;21).
30. TRAINING & DEVELOPMENT | 30 .
Molecular Marker Testing
• Purpose
Diagnostic accuracy
Prognostic markers to guide therapy options and estimate outcomes
Monitor for minimal residual disease
31. TRAINING & DEVELOPMENT | 31 .
Types of Molecular Testing
• Polymerase Chain Reaction (PCR)
– Amplifies DNA fragments
• Gene Expression Profiling (microarray technology)
– Identifies a molecular signature of a tumor
• Proteomics (microarray technology)
– Identifies protein expression profiles of tissue/cell type
• Single nucleotide polymorphism (SNP) &
Comparative genomic hybridization (CGH)
• Next Generation Sequencing (NGS)
32. TRAINING & DEVELOPMENT | 32 .
Mutations in AML
• CEBPA
• FLT3- D835 point mutation
• FLT3- ITD mutation
• IDH1
• IDH2
• KIT
• NPM1
34. TRAINING & DEVELOPMENT | 34 .
AML: F2402 r3 Q26-27
• FLT3- ITD allelic ratio
– Refers to the # of ITD-mutant alleles compared to the number of
wild-type alleles (normal alleles)
– In the example, the mutant allele burden is 70%, therefore the wild-
type alleles (normal) would be 30%. The ratio = 2.3 (70:30)
36. TRAINING & DEVELOPMENT | 36 .
FLT3-ITD allelic ratio
• 2017 European Leukemia Net (ELN) guidelines defined 0.5
as the cutoff between low & high allelic ratios
– Low allelic ratio < 0.5 (FLT3-ITDlow)
– High allelic ratio > 0.5 (FLT3-ITDhigh)
• A low FLT3-ITD allelic ratio is a favorable prognostic factor
37. TRAINING & DEVELOPMENT | 37 .
Mutations in MDS/MPN
• ASXL1
• JAK2 (MPN only)
• ETV6
• EZH2
• P53
• RUNX1
38. TRAINING & DEVELOPMENT | 38 .
Case Report-
Patient with Primary Myelofibrosis
Panel reports data on 21 genes
for myeloid malignancies
43. TRAINING & DEVELOPMENT | 43 .
BCR/ABL
• Fusion protein that
results in increased
activity of a tyrosine
kinase
• Present in CML,
ALL (30 -35% adult
B-cell), and some
AML
• Can be followed quantitatively with a Major Molecular
Response (MMR) determined as ≤ 0.1% BCR-ABL (ratio of
BCR-ABL/BCR
44. TRAINING & DEVELOPMENT | 44 .
Mutations in CLL
• Immunoglobulin heavy chain variable (IGHV) mutation
• NOTCH 1
• TP53 (or P53)
• SF3B1
Why are cytogenetic & molecular findings important?
Used as diagnostic tools to differentiate leukemias & other heme malignancies
Findings can be used to determine prognosis
A karyotype is a display (photograph) of the number and type of chromosomes a cell nucleus contains.
Cells are examined in metaphase of mitosis.
The stained chromosomes are arranged according to size, structure, centromere position and banding pattern.
Chromosome 1 is the largest of all the chromosomes.
The size and banding pattern identifies each chromosome.
Red = ‘abl’ on chromosome 9
Green = ‘bcr’ on chromosome 22
Yellow = bcr/abl translocation (fusion)