SlideShare a Scribd company logo
Autoantibody Biomarkers in Ovarian Cancer
Monica Muthaiya
Department of Pharmacology, Rush University
Faculty Advisor: Dr. Judith Luborsky
Background
Cancer is defined as a malignant growth or tumor caused by abnormal
and uncontrolled cell division that may profuse to other parts of the body
through the lymphatic system or the blood stream. Ovarian cancer is a
type of cancer that forms in tissues of the ovary, in which the ova are
formed (5). Ovarian cancer occurs when ovarian cells develop in an
unrestrained & unnatural manner (2). Ovarian cancer is most often seen
in women between the ages of 40 to 60 and rarely in adolescents.
The survival rate for ovarian cancer is low. Most women are diagnosed at
late stages after tumor metastasis and less than 20% survive 5 years.
Early detection methods are clearly needed. A substance that could be
measured in blood would be efficient, but most tumor proteins have not
proven useful. However, patients have a characteristic immune
response to cancer, that can be measured in blood as auto antibodies.
Information on the behavior of specific antibodies and their ability to
predict ovarian cancer is needed for antibodies to be used clinically.
Studies over time are difficult in humans (3).
Hens are the only known spontaneous model of ovarian cancer that
develop the cancer at a high rate. Using hens allows researchers to
identify processes involved in spontaneous tumor formation and
progression, and to identify possible biomarkers that predict the tumors.
Dr. Luborsky’s laboratory showed for the first time that SELENBP1 is an
auto antigen in ovarian failure associated with an autoimmune disease in
young women. (1) They also showed that SELENBP1 is expressed in
both normal ovaries and ovarian tumors in the hen. (4) Similar to
humans, hens with ovarian tumors make auto antibodies to SELENBP1
making it possible to examine the antibody response as hens develop
tumors. The antibody titer is a measurement of how much antibody an
organism has produced, expressed as the greatest dilution that still gives
a positive result. ELISA is a common procedure in determining antibody
titers.
Purpose & Hypothesis
Purpose: The aim was to determine if the titer of SELENBP1
autoantibody changes as the hens develop tumors.
Hypothesis: If ovarian cancer develops in a hen, then the titer
will decrease during the progression from normal ovary to tumor
occurrence.
Variables
Independent Variables: Hen with Ovarian Cancer or No Cancer
Dependent Variables: SELENBP1 Antibody Level and Titer
Procedure
1. Animals: White Leghorn laying hens (2.5 - 3 years old) were
maintained at the Poultry Research Farm of the University of
Illinois at Urbana-Champaign, under a controlled light regimen
(14 h light:10 h dark) with food and water provided ad libitum.
2. Hen Selection: Based on ultrasound morphology , hens with
normal ovaries were selected.
3. Blood Collection: Serum was serially collected at ~2-4 month
intervals. Blood was obtained from each hen’s wing vein and
serum stored at -80°C.
4. Experiment Completion: At the completion of the study (6-14
months) hens were euthanized according to the approved
Institutional Animal Care and Use Committee (IACUC) protocol.
Ovarian tissue and blood was collected. The presence of a
tumor was determined by gross morphology and histology as
described previously (ref) .
5. Immunoassay to detect autoantibodies: Conduct a standard
immunoassay to measure autoantibody against SBP1. Use
purified recombinant SBP1 as an antigen to capture the serum
antibody, and anti chicken IGY_HRP (horseradish peroxidase)
as the secondary antibody. to detect bound serum antibodies.
Read the optical density using a Spectrophotometer with
wavelength set to a 450nm and 580nm as a reference
wavelength.
6. Safety procedures: While conducting this experiment, all
safety protocols were followed. All materials were handled with
gloves while wearing a lab coat.
Data
* As the dilution increases, autoantibody signal decreases, like
expected. By testing different dilutions, you can reduce error in your
experimental design. When collecting data for different dilutions, I
observed the fading of the signal.
* In the Normal samples, the regularity between the dilutions
remained as expected, solely with DOD63 & DOD33 being exceptions.
DOD63 had a 9 month difference from the first scan to the final scan.
The dates were not recorded when collecting the data, so the data
from this hen is not very reliable. In the OVCA samples, the samples
were very consistent, significantly fading out on all but sample DOD62,
suggesting that errors may have occurred and the data from this hen
may not be reliable either. DOD62 showed abnormalities within
dilutions, suggesting that errors may have occurred: while creating the
dilution, in the ELISA wells being tested, when extracting a sample
from the hen, or within the hen itself. DOD62 was diagnosed with
stage 3 mucinous ovca, a cancer where the mucinous tumors are filled
with a mucous-like substance. This type of OVCA is unpredictable and
may have led to the increase in signal, as dilution increases. From the
data above, OVCA samples contained very minimal sources of error
within dilution variations.
* The data suggests that there is no significant difference in
percent change in OD value from hens with OVCA and the control
group. The normal hens have great fluctuation and higher signals than
the OVCA group. Therefore, normal hens have a lower titer in
comparison to the OVCA. The titer of SELENBP1 autoantibody
remains constant as the hens develop tumors.
Conclusion
The aim was to determine if the titer of SELENBP1
autoantibody changes as the hens develop
tumors. Based solely off the data extracted in this
experiment, there is no significant difference in
percent change OD values between the hens with
OVCA and the control group. However, various
papers written by the Department of Pharmacology
at RUSH University suggest that SELENBP1
autoantibody may be a potential biomarker for
Ovarian Cancer.
The original hypothesis stated that “If ovarian
cancer develops in a hen, then the titer will
decrease during the progression from normal
ovary to tumor occurrence.” The percent change in
OD Value remained fairly close to 1. The
hypothesis is mainly refuted, as the titer didn’t
significantly increase or decrease. Further
experiments will need to be executed to come to a
decisive conclusion.
References
1. Edassery, S. L., Shatavi, S. V., Kunkel, J. P., Hauer, C., Brucker, C., Penumatsa, K., Yu, Y., Dias, J. A., & Luborsky, J. L. (2010). Autoantigens in ovarian autoimmunity associated with unexplained infertility and premature
ovarian failure. Fertility and Sterility, 94(7), 2636–2641. Retrieved from http://www.sciencedirect.com/science/article/pii/S0015028210006096
2. Kim, A., Ueda, Y., Naka, T., & Enomoto, T. (2012). Therapeutic strategies in epithelial ovarian cancer. Experimental and Clinical Cancer Research, 31. Retrieved from http://www.jeccr.com/content/31/1/14
3. Slotman , B. J. (1988). Ovarian cancer (review). Etiology, diagnosis, prognosis, surgery, radiotherapy, chemotherapy and endocrine therapy. Anticancer Research. Retrieved from
http://europepmc.org/abstract/MED/3291746/reload=0;jsessionid=bxXI0bWGzq7oiufhjjE5.36
4. Stammer, K., Edassery, S. L., Barua, A., Bitterman, P., Bahr, J. M., Hales, D. B., & Luborsky, J. L. (2008). Selenium-Binding Protein 1 expression in ovaries and ovarian tumors in the laying hen, a spontaneous model of
human ovarian cancer. Retrieved from http://www.ncbi.nlm.nih.gov/pubmed/18272210
5. Tan , E. M., & Zhang, J. (2008). Autoantibodies to tumor-associated antigens: reporters from the immune system. Immunological Reviews, 222(1), 328-340. Retrieved from http://www.ncbi.nlm.nih.gov/pubmed/18364012
The Effect of
Ovarian Tumor
Development
on Autoantibody
Titer
The Effect of
Ovarian Tumor
Development
on Autoantibody
Titer
Figure 1. Expression of SELENBP1 in normal hens
ovaries. Each row contains an H&E stained section
(A & D) and a corresponding example of the
SELENBP1 expression (B, C, E & F) at two
magnifications (20X and 120X). SELENBP1 is
predominantly found in surface epithelium cells
(arrows) of normal ovaries.
Acknowledgements:
I would like to extend my thanks to Dr. Judith Luborsky, Seby Edassery, Yi Yu and the faculty at the Department of Pharmacology: they gave me great advice on future plans for research, medicine, and experiments.
Figure 2: The figure on the left shows the
final data collected from this experiment. It
shows the percent change in OD value from
the first to last scan between OVCA and
normal hens within each dilution.
a | A shows an example of a high-grade
carcinoma, morphologically consistent with
the serous subtype, with a small follicle
towards the bottom left-hand corner.
b | B is an example of a low-grade
endometrioid carcinoma showing simple
glandular structures in a back- to-back
arrangement with little stroma intermixed
between the glands (scale bar = 100 μm).

More Related Content

What's hot

Provenge (Sipuleucel T)
Provenge (Sipuleucel T)Provenge (Sipuleucel T)
Provenge (Sipuleucel T)Cytokinine
 
Drug to slow down aging
Drug to slow down agingDrug to slow down aging
Drug to slow down aging
Other Mother
 
Tracking Large Variations in My Immune Biomarkers and My Gut Microbiome: Infl...
Tracking Large Variations in My Immune Biomarkers and My Gut Microbiome: Infl...Tracking Large Variations in My Immune Biomarkers and My Gut Microbiome: Infl...
Tracking Large Variations in My Immune Biomarkers and My Gut Microbiome: Infl...
Larry Smarr
 
Environmental Factor - August 2015_ Intramural papers of the month
Environmental Factor - August 2015_ Intramural papers of the monthEnvironmental Factor - August 2015_ Intramural papers of the month
Environmental Factor - August 2015_ Intramural papers of the monthXunhai 郑训海
 
Monitoring efficacy gene expression frontiers
Monitoring efficacy gene expression frontiersMonitoring efficacy gene expression frontiers
Monitoring efficacy gene expression frontiers
Eliyahu Schuman
 
The Digital Transformation of Healthcare
The Digital Transformation of HealthcareThe Digital Transformation of Healthcare
The Digital Transformation of Healthcare
Larry Smarr
 
Observing the Dynamics of the Human Immune System Coupled to the Microbiome i...
Observing the Dynamics of the Human Immune System Coupled to the Microbiome i...Observing the Dynamics of the Human Immune System Coupled to the Microbiome i...
Observing the Dynamics of the Human Immune System Coupled to the Microbiome i...
Larry Smarr
 
Role of soluble urokinase plasminogen activator receptor (suPAR) as prognosis...
Role of soluble urokinase plasminogen activator receptor (suPAR) as prognosis...Role of soluble urokinase plasminogen activator receptor (suPAR) as prognosis...
Role of soluble urokinase plasminogen activator receptor (suPAR) as prognosis...
IOSR Journals
 
Genes and cancer
Genes and cancerGenes and cancer
Genes and cancer
Ali Faris
 
Biomedical Informatics 706: Precision Medicine with exposures
Biomedical Informatics 706: Precision Medicine with exposuresBiomedical Informatics 706: Precision Medicine with exposures
Biomedical Informatics 706: Precision Medicine with exposures
Chirag Patel
 
Scientific Publications and Scholarly National and International Presentations
Scientific Publications and Scholarly National and International PresentationsScientific Publications and Scholarly National and International Presentations
Scientific Publications and Scholarly National and International PresentationsTheresa Swift-Scanlan
 
FertiGenes Test™
FertiGenes Test™FertiGenes Test™
FertiGenes Test™
INVICTA GENETICS
 
PMED Opening Workshop - Dynamics & Implications of Some Models of Hepatitis B...
PMED Opening Workshop - Dynamics & Implications of Some Models of Hepatitis B...PMED Opening Workshop - Dynamics & Implications of Some Models of Hepatitis B...
PMED Opening Workshop - Dynamics & Implications of Some Models of Hepatitis B...
The Statistical and Applied Mathematical Sciences Institute
 
Recognizing the Patterns Within: How Biomedical Data Can Reveal Health vs. Di...
Recognizing the Patterns Within: How Biomedical Data Can Reveal Health vs. Di...Recognizing the Patterns Within: How Biomedical Data Can Reveal Health vs. Di...
Recognizing the Patterns Within: How Biomedical Data Can Reveal Health vs. Di...
Larry Smarr
 
Intro to Biomedical Informatics 701
Intro to Biomedical Informatics 701 Intro to Biomedical Informatics 701
Intro to Biomedical Informatics 701
Chirag Patel
 
Medicine of the Future—The Transformation from Reactive to Proactive (P4) Med...
Medicine of the Future—The Transformation from Reactive to Proactive (P4) Med...Medicine of the Future—The Transformation from Reactive to Proactive (P4) Med...
Medicine of the Future—The Transformation from Reactive to Proactive (P4) Med...
Ryan Squire
 
Dr. Leroy Hood Lecuture on P4 Medicine
Dr. Leroy Hood Lecuture on P4 MedicineDr. Leroy Hood Lecuture on P4 Medicine
Dr. Leroy Hood Lecuture on P4 Medicine
The Ohio State University Wexner Medical Center
 
헬스케어 빅데이터로 무엇을 할 수 있는가?
헬스케어 빅데이터로 무엇을 할 수 있는가?헬스케어 빅데이터로 무엇을 할 수 있는가?
헬스케어 빅데이터로 무엇을 할 수 있는가?
Hyung Jin Choi
 
Role of biotechnology in cancer control
Role of biotechnology in cancer controlRole of biotechnology in cancer control
Role of biotechnology in cancer control
Janani Gopalarethinam
 

What's hot (20)

Provenge (Sipuleucel T)
Provenge (Sipuleucel T)Provenge (Sipuleucel T)
Provenge (Sipuleucel T)
 
Dendreon.Final
Dendreon.FinalDendreon.Final
Dendreon.Final
 
Drug to slow down aging
Drug to slow down agingDrug to slow down aging
Drug to slow down aging
 
Tracking Large Variations in My Immune Biomarkers and My Gut Microbiome: Infl...
Tracking Large Variations in My Immune Biomarkers and My Gut Microbiome: Infl...Tracking Large Variations in My Immune Biomarkers and My Gut Microbiome: Infl...
Tracking Large Variations in My Immune Biomarkers and My Gut Microbiome: Infl...
 
Environmental Factor - August 2015_ Intramural papers of the month
Environmental Factor - August 2015_ Intramural papers of the monthEnvironmental Factor - August 2015_ Intramural papers of the month
Environmental Factor - August 2015_ Intramural papers of the month
 
Monitoring efficacy gene expression frontiers
Monitoring efficacy gene expression frontiersMonitoring efficacy gene expression frontiers
Monitoring efficacy gene expression frontiers
 
The Digital Transformation of Healthcare
The Digital Transformation of HealthcareThe Digital Transformation of Healthcare
The Digital Transformation of Healthcare
 
Observing the Dynamics of the Human Immune System Coupled to the Microbiome i...
Observing the Dynamics of the Human Immune System Coupled to the Microbiome i...Observing the Dynamics of the Human Immune System Coupled to the Microbiome i...
Observing the Dynamics of the Human Immune System Coupled to the Microbiome i...
 
Role of soluble urokinase plasminogen activator receptor (suPAR) as prognosis...
Role of soluble urokinase plasminogen activator receptor (suPAR) as prognosis...Role of soluble urokinase plasminogen activator receptor (suPAR) as prognosis...
Role of soluble urokinase plasminogen activator receptor (suPAR) as prognosis...
 
Genes and cancer
Genes and cancerGenes and cancer
Genes and cancer
 
Biomedical Informatics 706: Precision Medicine with exposures
Biomedical Informatics 706: Precision Medicine with exposuresBiomedical Informatics 706: Precision Medicine with exposures
Biomedical Informatics 706: Precision Medicine with exposures
 
Scientific Publications and Scholarly National and International Presentations
Scientific Publications and Scholarly National and International PresentationsScientific Publications and Scholarly National and International Presentations
Scientific Publications and Scholarly National and International Presentations
 
FertiGenes Test™
FertiGenes Test™FertiGenes Test™
FertiGenes Test™
 
PMED Opening Workshop - Dynamics & Implications of Some Models of Hepatitis B...
PMED Opening Workshop - Dynamics & Implications of Some Models of Hepatitis B...PMED Opening Workshop - Dynamics & Implications of Some Models of Hepatitis B...
PMED Opening Workshop - Dynamics & Implications of Some Models of Hepatitis B...
 
Recognizing the Patterns Within: How Biomedical Data Can Reveal Health vs. Di...
Recognizing the Patterns Within: How Biomedical Data Can Reveal Health vs. Di...Recognizing the Patterns Within: How Biomedical Data Can Reveal Health vs. Di...
Recognizing the Patterns Within: How Biomedical Data Can Reveal Health vs. Di...
 
Intro to Biomedical Informatics 701
Intro to Biomedical Informatics 701 Intro to Biomedical Informatics 701
Intro to Biomedical Informatics 701
 
Medicine of the Future—The Transformation from Reactive to Proactive (P4) Med...
Medicine of the Future—The Transformation from Reactive to Proactive (P4) Med...Medicine of the Future—The Transformation from Reactive to Proactive (P4) Med...
Medicine of the Future—The Transformation from Reactive to Proactive (P4) Med...
 
Dr. Leroy Hood Lecuture on P4 Medicine
Dr. Leroy Hood Lecuture on P4 MedicineDr. Leroy Hood Lecuture on P4 Medicine
Dr. Leroy Hood Lecuture on P4 Medicine
 
헬스케어 빅데이터로 무엇을 할 수 있는가?
헬스케어 빅데이터로 무엇을 할 수 있는가?헬스케어 빅데이터로 무엇을 할 수 있는가?
헬스케어 빅데이터로 무엇을 할 수 있는가?
 
Role of biotechnology in cancer control
Role of biotechnology in cancer controlRole of biotechnology in cancer control
Role of biotechnology in cancer control
 

Viewers also liked

12星座理財聖經
12星座理財聖經12星座理財聖經
12星座理財聖經
Chengi Fang
 
2017年疾管署疫情監測週報(第3週)
2017年疾管署疫情監測週報(第3週)2017年疾管署疫情監測週報(第3週)
2017年疾管署疫情監測週報(第3週)
衛生福利部疾病管制署
 
2017年疾管署疫情監測週報(第1週)
2017年疾管署疫情監測週報(第1週)2017年疾管署疫情監測週報(第1週)
2017年疾管署疫情監測週報(第1週)
衛生福利部疾病管制署
 
UrCosme2016/2月熱門關注和新品分析_CMRI美妝行銷總研
UrCosme2016/2月熱門關注和新品分析_CMRI美妝行銷總研UrCosme2016/2月熱門關注和新品分析_CMRI美妝行銷總研
UrCosme2016/2月熱門關注和新品分析_CMRI美妝行銷總研
i-TRUE Communications Inc.
 
Personality characteristics of zodiac signs
Personality characteristics of zodiac signsPersonality characteristics of zodiac signs
Personality characteristics of zodiac signs
jess1324
 
Zodiac signs: meanings, symbols and activities
Zodiac signs: meanings, symbols and activitiesZodiac signs: meanings, symbols and activities
Zodiac signs: meanings, symbols and activitiessergioaltea
 
UrCosme2016/3月熱門關注和新品分析_CMRI美妝行銷總研
UrCosme2016/3月熱門關注和新品分析_CMRI美妝行銷總研UrCosme2016/3月熱門關注和新品分析_CMRI美妝行銷總研
UrCosme2016/3月熱門關注和新品分析_CMRI美妝行銷總研
i-TRUE Communications Inc.
 
Astrology
AstrologyAstrology
Astrology
Slide Share
 

Viewers also liked (9)

12星座理財聖經
12星座理財聖經12星座理財聖經
12星座理財聖經
 
2017年疾管署疫情監測週報(第3週)
2017年疾管署疫情監測週報(第3週)2017年疾管署疫情監測週報(第3週)
2017年疾管署疫情監測週報(第3週)
 
2017年疾管署疫情監測週報(第1週)
2017年疾管署疫情監測週報(第1週)2017年疾管署疫情監測週報(第1週)
2017年疾管署疫情監測週報(第1週)
 
UrCosme2016/2月熱門關注和新品分析_CMRI美妝行銷總研
UrCosme2016/2月熱門關注和新品分析_CMRI美妝行銷總研UrCosme2016/2月熱門關注和新品分析_CMRI美妝行銷總研
UrCosme2016/2月熱門關注和新品分析_CMRI美妝行銷總研
 
Personality characteristics of zodiac signs
Personality characteristics of zodiac signsPersonality characteristics of zodiac signs
Personality characteristics of zodiac signs
 
Zodiac signs: meanings, symbols and activities
Zodiac signs: meanings, symbols and activitiesZodiac signs: meanings, symbols and activities
Zodiac signs: meanings, symbols and activities
 
UrCosme2016/3月熱門關注和新品分析_CMRI美妝行銷總研
UrCosme2016/3月熱門關注和新品分析_CMRI美妝行銷總研UrCosme2016/3月熱門關注和新品分析_CMRI美妝行銷總研
UrCosme2016/3月熱門關注和新品分析_CMRI美妝行銷總研
 
Astrology
AstrologyAstrology
Astrology
 
Zodiac Presentation
Zodiac PresentationZodiac Presentation
Zodiac Presentation
 

Similar to Poster Outline (1)

Peripheral Biomarkers as Predictive Indicators of Endometriosis: A Prospectiv...
Peripheral Biomarkers as Predictive Indicators of Endometriosis: A Prospectiv...Peripheral Biomarkers as Predictive Indicators of Endometriosis: A Prospectiv...
Peripheral Biomarkers as Predictive Indicators of Endometriosis: A Prospectiv...
SSR Institute of International Journal of Life Sciences
 
Imjh mar-2015-4
Imjh mar-2015-4Imjh mar-2015-4
EIS Technology: bioimpedance chronoamperometry in adjunct to screen the prost...
EIS Technology: bioimpedance chronoamperometry in adjunct to screen the prost...EIS Technology: bioimpedance chronoamperometry in adjunct to screen the prost...
EIS Technology: bioimpedance chronoamperometry in adjunct to screen the prost...
ES-Teck India
 
Protocol for the Treatment Prostate Cancer - Dr Serge Jurasunas
Protocol for the Treatment Prostate Cancer - Dr Serge JurasunasProtocol for the Treatment Prostate Cancer - Dr Serge Jurasunas
Protocol for the Treatment Prostate Cancer - Dr Serge Jurasunas
Sheldon Stein
 
Recurrent pregnancy loss
Recurrent pregnancy loss Recurrent pregnancy loss
Recurrent pregnancy loss
Dr.Laxmi Agrawal Shrikhande
 
Adjuncts in IVF laboratory: Current evidence
Adjuncts in IVF laboratory: Current evidenceAdjuncts in IVF laboratory: Current evidence
Adjuncts in IVF laboratory: Current evidence
Aboubakr Elnashar
 
Correlation of Estrogen and Progesterone Receptor expression in Breast Cancer
Correlation of Estrogen and Progesterone Receptor expression in Breast CancerCorrelation of Estrogen and Progesterone Receptor expression in Breast Cancer
Correlation of Estrogen and Progesterone Receptor expression in Breast Cancer
iosrphr_editor
 
IHC in breast pathology
IHC in breast pathologyIHC in breast pathology
IHC in breast pathology
namrathrs87
 
genetic tests.pptx
genetic tests.pptxgenetic tests.pptx
genetic tests.pptx
mkniranda
 
International Journal of Cancer & Cellular Biology Research
International Journal of Cancer & Cellular Biology ResearchInternational Journal of Cancer & Cellular Biology Research
International Journal of Cancer & Cellular Biology Research
SciRes Literature LLC. | Open Access Journals
 
An introduction to cancer
An introduction to cancerAn introduction to cancer
An introduction to cancerSalman Ul Islam
 
Advances in the management of breast cancer
Advances in the management of breast cancerAdvances in the management of breast cancer
Advances in the management of breast cancer
Mohamed Abdulla
 
Immunohistochemistry of breast lesions(IHC)
Immunohistochemistry of breast lesions(IHC)Immunohistochemistry of breast lesions(IHC)
Immunohistochemistry of breast lesions(IHC)
MIMSR Medical college,Latur
 
WHAT IS NEW IN ESHRE 2022 AND FIGO 2022 FOR GENERAL GYNAECOLOGIST
WHAT IS NEW IN ESHRE 2022 AND FIGO 2022 FOR GENERAL GYNAECOLOGISTWHAT IS NEW IN ESHRE 2022 AND FIGO 2022 FOR GENERAL GYNAECOLOGIST
WHAT IS NEW IN ESHRE 2022 AND FIGO 2022 FOR GENERAL GYNAECOLOGIST
Aboubakr Elnashar
 
Obstetric outcomes associated with second trimester unexplained abnormal mate...
Obstetric outcomes associated with second trimester unexplained abnormal mate...Obstetric outcomes associated with second trimester unexplained abnormal mate...
Obstetric outcomes associated with second trimester unexplained abnormal mate...
Apollo Hospitals
 
Genetic polymorphisms of CYP3A41B of cervical cancer patients in Bangladeshi ...
Genetic polymorphisms of CYP3A41B of cervical cancer patients in Bangladeshi ...Genetic polymorphisms of CYP3A41B of cervical cancer patients in Bangladeshi ...
Genetic polymorphisms of CYP3A41B of cervical cancer patients in Bangladeshi ...Md. Saifuzzaman
 

Similar to Poster Outline (1) (20)

science fair paper (1)
science fair paper (1)science fair paper (1)
science fair paper (1)
 
Peripheral Biomarkers as Predictive Indicators of Endometriosis: A Prospectiv...
Peripheral Biomarkers as Predictive Indicators of Endometriosis: A Prospectiv...Peripheral Biomarkers as Predictive Indicators of Endometriosis: A Prospectiv...
Peripheral Biomarkers as Predictive Indicators of Endometriosis: A Prospectiv...
 
PUBLICATION
PUBLICATIONPUBLICATION
PUBLICATION
 
Imjh mar-2015-4
Imjh mar-2015-4Imjh mar-2015-4
Imjh mar-2015-4
 
IJFP-2332-287X-03-202
IJFP-2332-287X-03-202IJFP-2332-287X-03-202
IJFP-2332-287X-03-202
 
EIS Technology: bioimpedance chronoamperometry in adjunct to screen the prost...
EIS Technology: bioimpedance chronoamperometry in adjunct to screen the prost...EIS Technology: bioimpedance chronoamperometry in adjunct to screen the prost...
EIS Technology: bioimpedance chronoamperometry in adjunct to screen the prost...
 
Protocol for the Treatment Prostate Cancer - Dr Serge Jurasunas
Protocol for the Treatment Prostate Cancer - Dr Serge JurasunasProtocol for the Treatment Prostate Cancer - Dr Serge Jurasunas
Protocol for the Treatment Prostate Cancer - Dr Serge Jurasunas
 
Recurrent pregnancy loss
Recurrent pregnancy loss Recurrent pregnancy loss
Recurrent pregnancy loss
 
Adjuncts in IVF laboratory: Current evidence
Adjuncts in IVF laboratory: Current evidenceAdjuncts in IVF laboratory: Current evidence
Adjuncts in IVF laboratory: Current evidence
 
Correlation of Estrogen and Progesterone Receptor expression in Breast Cancer
Correlation of Estrogen and Progesterone Receptor expression in Breast CancerCorrelation of Estrogen and Progesterone Receptor expression in Breast Cancer
Correlation of Estrogen and Progesterone Receptor expression in Breast Cancer
 
IHC in breast pathology
IHC in breast pathologyIHC in breast pathology
IHC in breast pathology
 
genetic tests.pptx
genetic tests.pptxgenetic tests.pptx
genetic tests.pptx
 
International Journal of Cancer & Cellular Biology Research
International Journal of Cancer & Cellular Biology ResearchInternational Journal of Cancer & Cellular Biology Research
International Journal of Cancer & Cellular Biology Research
 
An introduction to cancer
An introduction to cancerAn introduction to cancer
An introduction to cancer
 
Advances in the management of breast cancer
Advances in the management of breast cancerAdvances in the management of breast cancer
Advances in the management of breast cancer
 
Immunohistochemistry of breast lesions(IHC)
Immunohistochemistry of breast lesions(IHC)Immunohistochemistry of breast lesions(IHC)
Immunohistochemistry of breast lesions(IHC)
 
WHAT IS NEW IN ESHRE 2022 AND FIGO 2022 FOR GENERAL GYNAECOLOGIST
WHAT IS NEW IN ESHRE 2022 AND FIGO 2022 FOR GENERAL GYNAECOLOGISTWHAT IS NEW IN ESHRE 2022 AND FIGO 2022 FOR GENERAL GYNAECOLOGIST
WHAT IS NEW IN ESHRE 2022 AND FIGO 2022 FOR GENERAL GYNAECOLOGIST
 
sclabas2005
sclabas2005sclabas2005
sclabas2005
 
Obstetric outcomes associated with second trimester unexplained abnormal mate...
Obstetric outcomes associated with second trimester unexplained abnormal mate...Obstetric outcomes associated with second trimester unexplained abnormal mate...
Obstetric outcomes associated with second trimester unexplained abnormal mate...
 
Genetic polymorphisms of CYP3A41B of cervical cancer patients in Bangladeshi ...
Genetic polymorphisms of CYP3A41B of cervical cancer patients in Bangladeshi ...Genetic polymorphisms of CYP3A41B of cervical cancer patients in Bangladeshi ...
Genetic polymorphisms of CYP3A41B of cervical cancer patients in Bangladeshi ...
 

Poster Outline (1)

  • 1. Autoantibody Biomarkers in Ovarian Cancer Monica Muthaiya Department of Pharmacology, Rush University Faculty Advisor: Dr. Judith Luborsky Background Cancer is defined as a malignant growth or tumor caused by abnormal and uncontrolled cell division that may profuse to other parts of the body through the lymphatic system or the blood stream. Ovarian cancer is a type of cancer that forms in tissues of the ovary, in which the ova are formed (5). Ovarian cancer occurs when ovarian cells develop in an unrestrained & unnatural manner (2). Ovarian cancer is most often seen in women between the ages of 40 to 60 and rarely in adolescents. The survival rate for ovarian cancer is low. Most women are diagnosed at late stages after tumor metastasis and less than 20% survive 5 years. Early detection methods are clearly needed. A substance that could be measured in blood would be efficient, but most tumor proteins have not proven useful. However, patients have a characteristic immune response to cancer, that can be measured in blood as auto antibodies. Information on the behavior of specific antibodies and their ability to predict ovarian cancer is needed for antibodies to be used clinically. Studies over time are difficult in humans (3). Hens are the only known spontaneous model of ovarian cancer that develop the cancer at a high rate. Using hens allows researchers to identify processes involved in spontaneous tumor formation and progression, and to identify possible biomarkers that predict the tumors. Dr. Luborsky’s laboratory showed for the first time that SELENBP1 is an auto antigen in ovarian failure associated with an autoimmune disease in young women. (1) They also showed that SELENBP1 is expressed in both normal ovaries and ovarian tumors in the hen. (4) Similar to humans, hens with ovarian tumors make auto antibodies to SELENBP1 making it possible to examine the antibody response as hens develop tumors. The antibody titer is a measurement of how much antibody an organism has produced, expressed as the greatest dilution that still gives a positive result. ELISA is a common procedure in determining antibody titers. Purpose & Hypothesis Purpose: The aim was to determine if the titer of SELENBP1 autoantibody changes as the hens develop tumors. Hypothesis: If ovarian cancer develops in a hen, then the titer will decrease during the progression from normal ovary to tumor occurrence. Variables Independent Variables: Hen with Ovarian Cancer or No Cancer Dependent Variables: SELENBP1 Antibody Level and Titer Procedure 1. Animals: White Leghorn laying hens (2.5 - 3 years old) were maintained at the Poultry Research Farm of the University of Illinois at Urbana-Champaign, under a controlled light regimen (14 h light:10 h dark) with food and water provided ad libitum. 2. Hen Selection: Based on ultrasound morphology , hens with normal ovaries were selected. 3. Blood Collection: Serum was serially collected at ~2-4 month intervals. Blood was obtained from each hen’s wing vein and serum stored at -80°C. 4. Experiment Completion: At the completion of the study (6-14 months) hens were euthanized according to the approved Institutional Animal Care and Use Committee (IACUC) protocol. Ovarian tissue and blood was collected. The presence of a tumor was determined by gross morphology and histology as described previously (ref) . 5. Immunoassay to detect autoantibodies: Conduct a standard immunoassay to measure autoantibody against SBP1. Use purified recombinant SBP1 as an antigen to capture the serum antibody, and anti chicken IGY_HRP (horseradish peroxidase) as the secondary antibody. to detect bound serum antibodies. Read the optical density using a Spectrophotometer with wavelength set to a 450nm and 580nm as a reference wavelength. 6. Safety procedures: While conducting this experiment, all safety protocols were followed. All materials were handled with gloves while wearing a lab coat. Data * As the dilution increases, autoantibody signal decreases, like expected. By testing different dilutions, you can reduce error in your experimental design. When collecting data for different dilutions, I observed the fading of the signal. * In the Normal samples, the regularity between the dilutions remained as expected, solely with DOD63 & DOD33 being exceptions. DOD63 had a 9 month difference from the first scan to the final scan. The dates were not recorded when collecting the data, so the data from this hen is not very reliable. In the OVCA samples, the samples were very consistent, significantly fading out on all but sample DOD62, suggesting that errors may have occurred and the data from this hen may not be reliable either. DOD62 showed abnormalities within dilutions, suggesting that errors may have occurred: while creating the dilution, in the ELISA wells being tested, when extracting a sample from the hen, or within the hen itself. DOD62 was diagnosed with stage 3 mucinous ovca, a cancer where the mucinous tumors are filled with a mucous-like substance. This type of OVCA is unpredictable and may have led to the increase in signal, as dilution increases. From the data above, OVCA samples contained very minimal sources of error within dilution variations. * The data suggests that there is no significant difference in percent change in OD value from hens with OVCA and the control group. The normal hens have great fluctuation and higher signals than the OVCA group. Therefore, normal hens have a lower titer in comparison to the OVCA. The titer of SELENBP1 autoantibody remains constant as the hens develop tumors. Conclusion The aim was to determine if the titer of SELENBP1 autoantibody changes as the hens develop tumors. Based solely off the data extracted in this experiment, there is no significant difference in percent change OD values between the hens with OVCA and the control group. However, various papers written by the Department of Pharmacology at RUSH University suggest that SELENBP1 autoantibody may be a potential biomarker for Ovarian Cancer. The original hypothesis stated that “If ovarian cancer develops in a hen, then the titer will decrease during the progression from normal ovary to tumor occurrence.” The percent change in OD Value remained fairly close to 1. The hypothesis is mainly refuted, as the titer didn’t significantly increase or decrease. Further experiments will need to be executed to come to a decisive conclusion. References 1. Edassery, S. L., Shatavi, S. V., Kunkel, J. P., Hauer, C., Brucker, C., Penumatsa, K., Yu, Y., Dias, J. A., & Luborsky, J. L. (2010). Autoantigens in ovarian autoimmunity associated with unexplained infertility and premature ovarian failure. Fertility and Sterility, 94(7), 2636–2641. Retrieved from http://www.sciencedirect.com/science/article/pii/S0015028210006096 2. Kim, A., Ueda, Y., Naka, T., & Enomoto, T. (2012). Therapeutic strategies in epithelial ovarian cancer. Experimental and Clinical Cancer Research, 31. Retrieved from http://www.jeccr.com/content/31/1/14 3. Slotman , B. J. (1988). Ovarian cancer (review). Etiology, diagnosis, prognosis, surgery, radiotherapy, chemotherapy and endocrine therapy. Anticancer Research. Retrieved from http://europepmc.org/abstract/MED/3291746/reload=0;jsessionid=bxXI0bWGzq7oiufhjjE5.36 4. Stammer, K., Edassery, S. L., Barua, A., Bitterman, P., Bahr, J. M., Hales, D. B., & Luborsky, J. L. (2008). Selenium-Binding Protein 1 expression in ovaries and ovarian tumors in the laying hen, a spontaneous model of human ovarian cancer. Retrieved from http://www.ncbi.nlm.nih.gov/pubmed/18272210 5. Tan , E. M., & Zhang, J. (2008). Autoantibodies to tumor-associated antigens: reporters from the immune system. Immunological Reviews, 222(1), 328-340. Retrieved from http://www.ncbi.nlm.nih.gov/pubmed/18364012 The Effect of Ovarian Tumor Development on Autoantibody Titer The Effect of Ovarian Tumor Development on Autoantibody Titer Figure 1. Expression of SELENBP1 in normal hens ovaries. Each row contains an H&E stained section (A & D) and a corresponding example of the SELENBP1 expression (B, C, E & F) at two magnifications (20X and 120X). SELENBP1 is predominantly found in surface epithelium cells (arrows) of normal ovaries. Acknowledgements: I would like to extend my thanks to Dr. Judith Luborsky, Seby Edassery, Yi Yu and the faculty at the Department of Pharmacology: they gave me great advice on future plans for research, medicine, and experiments. Figure 2: The figure on the left shows the final data collected from this experiment. It shows the percent change in OD value from the first to last scan between OVCA and normal hens within each dilution. a | A shows an example of a high-grade carcinoma, morphologically consistent with the serous subtype, with a small follicle towards the bottom left-hand corner. b | B is an example of a low-grade endometrioid carcinoma showing simple glandular structures in a back- to-back arrangement with little stroma intermixed between the glands (scale bar = 100 μm).