GD2 and GD3 gangliosides as diagnostic biomarkers for all stages and subtypes of ovarian cancer.

Authors

null

Anna Jeter

AOA Dx Inc, Cambridge, MA

Anna Jeter , Alba Galan , Arturo Papaluca , Ali Nejatie , Emad Matanes , Fouad Brahimi , Amber Yasmeen , Euridice Carmona , Kathleen Oros Klein , Sonja Billes , Ahmed E. Dawod , Prasad Gawande , Anne-Marie Mes-Masson , Celia Greenwood , Walter H. Gotlieb , H. Uri Saragovi

Organizations

AOA Dx Inc, Cambridge, MA, Lady Davis Institute-Jewish General Hospital, Montreal, QC, Canada, Lady Davis Institute-Jewish General Hospital, McGill University, Montreal, QC, Canada, University of Montreal Hospital Centre (CRCHUM), Montreal, QC, Canada, University of Montreal, Montreal, QC, Canada, Jewish General Hospital, Montréal, QC, Canada, Surgical Oncology, McGill University - SMBD Jewish General Hospital, Montreal, QC, Canada

Research Funding

Other
Canadian Institutes of Health Research, Reseau Quebecois pour le Medicines (RQRM), AOA Dx

Background: Ovarian cancer (OC) is the deadliest gynecological cancer, often diagnosed at advanced stages. A fast and accurate diagnostic method for early-stage OC is needed. The tumor marker gangliosides, GD2 and GD3, exhibit properties that make them ideal potential diagnostic biomarkers but they have never before been quantified in OC. We investigated the diagnostic utility GD2 and GD3 for diagnosis of all subtypes and stages of OC. Methods: This retrospective study evaluated GD2 and GD3 expression in biobanked tissue and serum samples from patients with invasive epithelial OC, healthy donors, non-malignant gynecological conditions, and other cancers. GD2 and GD3 levels were evaluated in tissue samples by immunohistochemistry (n=299), and in two cohorts of serum samples by quantitative ELISA. A Discovery Cohort (n=379) showed feasibility of GD2 and GD3 quantitative ELISA for diagnosing OC, and a subsequent Model Cohort (n=200) was used to train and cross-validate a diagnostic model. Results: GD2 and GD3 were expressed in tissues of all OC subtypes and FIGO stages but not in surrounding healthy tissue or other controls. In serum, GD2 and GD3 were elevated in patients with OC. A novel diagnostic model that included serum levels of GD2 and GD3 was superior to the standard of care (CA125, p<0.001) at detecting OC, as well as, in early-stage (I/II) OC samples. Conclusions: GD2 and GD3 are high value candidates for building a novel diagnostic panel. A diagnostic model combining GD2 and GD3 quantification in serum had diagnostic power for all subtypes and all stages of OC, including early-stage. Further research exploring the utility GD2 and GD3 for diagnosis of OC is warranted. Future work will aim to validate these biomarkers in independent prospective studies.

Overall predictive model (N=200).
Predictive Model AUC95% CIp-value vs CA1255x Cross Validation AUC95% CIp-value vs CA125
CA1250.8760.823 – 0.9420.8770.777-0.977
HE40.9030.858 – 0.9470.2080.9040.884 – 0.9240.083
GD20.9570.928 – 0.9850.0100.9520.922 – 0.9820.032
GD30.9650.944 – 0.9870.0010.9630.943 – 0.983<0.001
Novel Panel0.9880.977 – 0.998<0.0010.9760.956 – 0.9960.002
Early-Stage predictive model (N=173).
Predictive Model AUC95% CIp-value vs CA1253x Cross Validation AUC95% CIp-value vs CA125
CA1250.8010.675 – 0.9390.7730.613 – 0.933
HE40.8880.813 – 0.9640.0590.8980.838 – 0.9580.073
GD20.9520.889 – 1.0000.0100.9520.922 – 0.9820.033
GD30.9670.936 – 0.9970.0140.9730.963 – 0.9830.043
Novel Panel0.9880.971 – 1.0000.0020.9790.969 – 0.9890.006

Disclaimer

This material on this page is ©2024 American Society of Clinical Oncology, all rights reserved. Licensing available upon request. For more information, please contact licensing@asco.org

Abstract Details

Meeting

2023 ASCO Annual Meeting

Session Type

Publication Only

Session Title

Publication Only: Gynecologic Cancer

Track

Gynecologic Cancer

Sub Track

Ovarian Cancer

Citation

J Clin Oncol 41, 2023 (suppl 16; abstr e17604)

DOI

10.1200/JCO.2023.41.16_suppl.e17604

Abstract #

e17604

Abstract Disclosures

Similar Abstracts

First Author: Juan Pablo Hinestrosa

Abstract

2023 ASCO Quality Care Symposium

Development of ovarian cancer biomarker electronic clinical quality measure: Lessons learned.

First Author: Caitlin Drumheller

Abstract

2022 ASCO Annual Meeting

Disparities in biomarker testing in ovarian cancer.

First Author: Anna Jo Bodurtha Smith

First Author: Pauline Wimberger