REVIEW
Year : 2020 | Volume
: 63 | Issue : 5 | Page : 64--69
Subtype specific biomarkers associated with chemoresistance in epithelial ovarian cancer
Abhilash Deo1, Souvik Mukherjee1, Bharat Rekhi2, Pritha Ray1
1 Imaging Cell Signalling and Therapeutics Lab, Advanced Centre for Treatment, Research and Education in Cancer, Tata Memorial Centre, Navi Mumbai; Homi Bhabha National Institute, Anushakti Nagar, Maharashtra, India
2 Homi Bhabha National Institute, Anushakti Nagar; Tata Memorial Hospital, Dr. E Borges Road, Parel, Mumbai, Maharashtra, India
Correspondence Address:
Pritha Ray
Imaging Cell Signaling and Therapeutics Lab, KS-338A, ACTREC, Tata Memorial Centre, Kharghar,
Navi Mumbai - 410 210, Maharashtra
India
In spite of the advent of many high throughput technologies, tumor tissue biomarkers are still the gold standard for diagnosis and prognosis of different malignancies including epithelial ovarian cancer (EOC). EOC is a heterogeneous disease comprised of five major subtypes which show distinct clinicopathological features and therapy response. Acquirement of chemoresistance toward therapy is a major challenge for successful treatment outcome in EOC patients. Several markers have been tested by immunohistochemical method to evaluate their prognostic merit to predict clinical outcome. However, a vast majority of such markers have been assessed for high-grade serous and clear cell ovarian cancer, among all subtypes of EOC. The current review elaborates upon those biomarkers that can potentially predict chemoresistance with subtype specificity.
How to cite this article:
Deo A, Mukherjee S, Rekhi B, Ray P. Subtype specific biomarkers associated with chemoresistance in epithelial ovarian cancer.Indian J Pathol Microbiol 2020;63:64-69
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How to cite this URL:
Deo A, Mukherjee S, Rekhi B, Ray P. Subtype specific biomarkers associated with chemoresistance in epithelial ovarian cancer. Indian J Pathol Microbiol [serial online] 2020 [cited 2023 Mar 30 ];63:64-69
Available from: https://www.ijpmonline.org/article.asp?issn=0377-4929;year=2020;volume=63;issue=5;spage=64;epage=69;aulast=Deo;type=0 |
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