[1111] Immunohistochemical Classification of the 5 Major Subtypes of Ovarian Carcinoma and the Introduction of the Calculator for Ovarian Subtype Prediction (COSP)

SE Kalloger, M Kobel, S Leung, E Mehl, D Gao, K Masson, DG Huntsman, CB Gilks. Vancouver General Hospital and the British Columbia Cancer Agency, Vancouver, BC, Canada; University of Calgary/CLS, Calgary, AB, Canada

Background: With the emerging evidence that the five major ovarian carcinoma subtypes comprise distinct entities, management of ovarian carcinoma will become subtype specific in the future. Although subtype assignment has been improved recently, it would be desirable to assist subtype assignment with objective molecular markers.
Design: Immunohistochemical expression data of 22 biomarkers were examined using nominal logistic regression in order to produce a subtype prediction model on a set of 322 archival ovarian carcinomas accrued from the British Columbia Cancer Agency between 1984 - 2000. This equation was validated on a cohort of 242 high quality ovarian carcinomas from the Gynaecologic Tissue Bank at Vancouver General Hospital collected between 2001 - 2006.
Results: Using a panel of 9 antibodies (CDKN2A, DKK1, HNF1B, MDM2, PGR, TFF3, TP53, VIM, WT1) morphological type can be predicted with relatively good sensitivity and specificity as shown in the table:

Receiver operator characteristic and kappa statistics for prediction and validation.
SubtypeROC AUC PredictionKappa PredictionROC AUC ValidationKappa Validation
Clear Cell0.99440.876 +/-0.0220.94010.699 +/- 0.044
Endometrioid0.97760.9435
Mucinous0.99320.9723
High-grade Serous0.98110.9138
Low-grade Serous0.99970.9100



Conclusions: These results indicate that this panel of 9 markers can be reliably used to differentiate the five major subtypes of ovarian carcinoma.
Category: Gynecologic & Obstetrics

Wednesday, March 24, 2010 1:00 PM

Poster Session VI # 158, Wednesday Afternoon

 

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