Article

Gene networks and expression quantitative trait loci associated with platinum-based chemotherapy response in high-grade serous ovarian cancer

2020-03-27

Abstract excerpt

<h4>Background: </h4> A major impediment in the treatment of ovarian cancer is the relapse of platinum-resistant tumors, which occurs in approximately 25% of patients. A better understanding of the biological mechanisms underlying platinum-based chemotherapy response will improve treatment efficacy through genetic testing and novel therapies. Methods Using data from high-grade serous ovarian carcinoma (HGSOC) pati...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: bae6cc51-5849-54ff-8099-77234847b8b6
DOI: 10.21203/rs.2.21098/v2

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Gene networks and expression quantitative trait loci associated with platinum-based chemotherapy response in high-grade serous ovarian cancerDOI 10.21203/rs.2.21098/v2Read

Gene networks and expression quantitative trait loci associated with platinum-based chemotherapy response in high-grade serous ovarian cancerSemantic proximity Read

Novel regulatory and transcriptional networks associated with resistance to platinum-based chemotherapy in ovarian cancerSemantic proximity Read

Protein Expression Patterns in ovarian cancer cells Associated with Monofunctional Platinums TreatmentSemantic proximity Read

Identification of prognostic genes after platinum-based chemotherapy in ovarian cancerSemantic proximity Read

MicroRNA-Regulated Ubiquitination and Lipid Metabolism Networks are Associated with Chemotherapy Response in Ovarian CancerSemantic proximity Read

Identification of Three Potential Prognostic Genes in Platinum-Resistant Ovarian Cancer via Integrated Bioinformatics AnalysisSemantic proximity Read

A risk model of gene signatures for predicting platinum response and survival in ovarian cancerSemantic proximity Read

Identification of platinum-resistance related small GTPase binding signatures to predict the prognosis of ovarian cancer by machine learning and integrated bioinformatic analysesSemantic proximity Read

Large-scale integrated analysis of ovarian cancer tumors and cell lines identifies an individualized gene expression signature for predicting response to platinum-based chemotherapySemantic proximity Read

High Serpin Family A Member 10 Expression Confers Platinum Sensitivity and Is Associated With Survival Benefit in High-Grade Serous Ovarian Cancer: Based on Quantitative Proteomic AnalysisSemantic proximity Read

Prognostic Model Construction Based on Platinum-Free Interval in Ovarian Cancer and Its Implication for Chemotherapy ResistanceSemantic proximity Read

Tumor genomic, transcriptomic, and immune profiling characterizes differential response to first-line platinum chemotherapy in high grade serous ovarian cancer.Semantic proximity Read