Dilution of molecular-pathologic gene signatures by medically associated factors might prevent prediction of resection status after debulking surgery in patients with advanced ovarian cancer

Roshan Tourani
Roshan Tourani
Anthony Grandelis
Anthony Grandelis
Locke Uppendahl
Locke Uppendahl
Jinhua Wang
Jinhua Wang

CLINICAL CANCER RESEARCH, pp. 213-219, 2020.

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Abstract:

Purpose: Predicting surgical outcome could improve individualizing treatment strategies for patients with advanced ovarian cancer. It has been suggested earlier that gene expression signatures (GES) might harbor the potential to predict surgical outcome. Experimental Design: Data derived from high-grade serous tumor tissue of FIGO stage I...More

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