Predicting platinum-resistance in advanced ovarian cancer: defining patient and disease characteristics to improve treatment approaches at initiation of treatment or earlier in the course of the disease

When exploring factors associated with response to front-line platinum-based treatment of ovarian cancer, Stage IV disease was significantly associated with resistance. As platinum resistant patients have poorer survival and fewer treatment options, it is important to further define the biology and appropriate initial management of these patients.

Authors

Institutions

Publication Details

Journal
Frontiers in Oncology
Published
2026-02-13
DOI
https://doi.org/10.3389/fonc.2026.1765220
Primary Topic
Ovarian cancer diagnosis and treatment
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Predicting platinum-resistance in advanced ovarian cancer: defining patient and disease characteristics to improve treatment approaches at initiation of treatment or earlier in the course of the disease

Matthew Monberg, Dana M. Chase, Elizabeth A. Szamreta, Srinivas Annavarapu et al.
Frontiers in Oncology
Ovarian cancer diagnosis and treatment
article

Predicting platinum-resistance in advanced ovarian cancer: defining patient and disease characteristics to improve treatment approaches at initiation of treatment or earlier in the course of the disease

Matthew Monberg, Dana M. Chase, Elizabeth A. Szamreta, Srinivas Annavarapu, Junxin Shi, Gregory Patton
article en

Abstract

When exploring factors associated with response to front-line platinum-based treatment of ovarian cancer, Stage IV disease was significantly associated with resistance. As platinum resistant patients have poorer survival and fewer treatment options, it is important to further define the biology and appropriate initial management of these patients.

Frontiers in OncologyVol. 16
Merck & Co., Inc., Rahway, NJ, USA (United States) (US), University of California, Los Angeles (US)
Good health and well-being
Openalex Percentile: Top 59%
Ovarian cancer diagnosis and treatment
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.