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Series GSE79517 Query DataSets for GSE79517
Status Public on Jun 01, 2017
Title Autoanitbody Biomarkers for the Early Detection of Serous Ovarian Cancer
Organism Homo sapiens
Experiment type Protein profiling by protein array
Summary Introduction: Serous ovarian cancer is the leading cause of gynecological cancers, with a 5-year survival rate below 45% due in part to the nonspecific symptoms and lack of accurate screening for early detection. In comparison, patients diagnosed at an early stage have a five-year survival rate of 92%, demonstrating the urgent need for biomarkers for the early detection of disease. Serum from patients with serous ovarian cancer contain antibodies to tumor antigens that are potential biomarkers for early detection. The purpose of this study is to identify a panel of novel serum autoantibody (AAb) biomarkers for the early diagnosis of serous ovarian cancer.

Methods: To detect AAb we probed high-density programmable protein microarrays (NAPPA) containing 10,247 antigens with sera from patients with serous ovarian cancer (n = 30 cases/ 30 healthy controls) and measured bound IgG. We identified 735 promising tumor antigens using cutoff values of 10% sensitivity at 95% specificity and K-value>0.8, as well as visual analysis and evaluated these with an independent set of serous ovarian cancer sera (n = 30 cases/ 30 benign disease controls/ 30 heathy controls). Thirty-nine potential tumor autoantigens were identified with sensitivities ranging from 3 to 39.7% sensitivity at 95% specificity and were retested using an orthogonal programmable ELISA assay. A total of 13 potential tumor antigens were identified for further validation using an independent ovarian cancer sera set (n = 44 cases/ 34 healthy controls). Sensitivities at 95% specificity were calculated and a serous ovarian cancer classifier was constructed. In addition, we evaluated a longitudinal study using blinded serous pre-diagnostic ovarian cancer sera (n = 9 cases/ 90 controls) to examine the value of three (CTAG1, CTAG2, and p53) of these AAb in comparison to CA 125.

Results: We identified 11-AAbs (ICAM3, CTAG2, p53, STYXL1, PVR, POMC, NUDT11, TRIM39, UHMK1, KSR1, and NXF3) that distinguished serous ovarian cancer cases from healthy controls with a combined 45% sensitivity at 100% specificity. In our longitudinal analysis, p53- and CTAG-AAb were detected up to 9 months prior to ovarian cancer diagnosis and increased with CA 125 levels.

Conclusion: These are potential circulating biomarkers for the early detection of serous ovarian cancer, and warrant confirmation in larger clinical cohorts. In addition, p53- and CTAG1/2-AAb are detected in a subset of women with ovarian cancer up to 9 months prior to clinical diagnosis. Their utility as a biomarker for early detection, beyond CA 125, warrant further investigation.

 
Overall design This SuperSeries is composed of the SubSeries listed below.
 
Citation(s) 28427776
Submission date Mar 23, 2016
Last update date Sep 12, 2017
Contact name Benjamin A Katchman
Organization name Arizona State University
Street address 727 E. Tyler St.
City Tempe
State/province AZ
ZIP/Postal code 85287
Country USA
 
Platforms (6)
GPL21620 Nucleic Acid Programmable Protein Array (NAPPA) Serous Ovarian Discovery Array - FLAG
GPL21621 Nucleic Acid Programmable Protein Array (NAPPA) Serous Ovarian Discovery Array - GST1
GPL21622 Nucleic Acid Programmable Protein Array (NAPPA) Serous Ovarian Discovery Array - GST2
Samples (385)
GSM2096069 1494
GSM2096070 1521
GSM2096071 1545
This SuperSeries is composed of the following SubSeries:
GSE79498 Autoanitbody Biomarkers for the Early Detection of Serous Ovarian Cancer [Discovery Screen]
GSE79516 Autoanitbody Biomarkers for the Early Detection of Serous Ovarian Cancer [Validation Screen]
Relations
BioProject PRJNA316072

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Supplementary data files not provided

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