Evidence map›Paper›PMID 39131380›Full record

ArticlebioRxiv : the preprint server for biology2024

Cell-intrinsic platinum response and associated genetic and gene expression signatures in ovarian cancer cell lines and isogenic models.

Kristin M Adams, Jae-Rim Wendt, Josie Wood, Sydney Olson, Ryan Moreno, Zhongmou Jin, Srihari Gopalan, Jessica D Lang

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

Kristin M AdamsCenter for Human Genomics and Precision Medicine, University of Wisconsin-Madison, Madison, WI, USA.
Jae-Rim WendtCenter for Human Genomics and Precision Medicine, University of Wisconsin-Madison, Madison, WI, USA.
Josie WoodCenter for Human Genomics and Precision Medicine, University of Wisconsin-Madison, Madison, WI, USA.
Sydney OlsonCenter for Human Genomics and Precision Medicine, University of Wisconsin-Madison, Madison, WI, USA.
Ryan MorenoCenter for Human Genomics and Precision Medicine, University of Wisconsin-Madison, Madison, WI, USA.ORCID 0009-0001-5284-1237
Zhongmou JinCenter for Human Genomics and Precision Medicine, University of Wisconsin-Madison, Madison, WI, USA.ORCID 0000-0002-2691-7429
Srihari GopalanCenter for Human Genomics and Precision Medicine, University of Wisconsin-Madison, Madison, WI, USA.
Jessica D LangCenter for Human Genomics and Precision Medicine, University of Wisconsin-Madison, Madison, WI, USA.ORCID 0000-0001-9700-4785

Funding

Characterization of the role of super-enhancers in ovarian cancer treatment responseR00CA234391 · NCI · UNIVERSITY OF WISCONSIN-MADISON · PI LANG, JESSICA DIANE · 2021 to 2023
$744k
Characterization of the role of super-enhancers in ovarian cancer treatment responseK99CA234391 · NCI · TRANSLATIONAL GENOMICS RESEARCH INST · PI LANG, JESSICA DIANE · 2019 to 2020
$223k
NCI NIH HHS K99 CA234391NCI NIH HHS R00 CA234391
6 · The paper itself

Abstract

Ovarian cancers are still largely treated with platinum-based chemotherapy as the standard of care, yet few biomarkers of clinical response have had an impact on clinical decision making as of yet. Two particular challenges faced in mechanistically deciphering platinum responsiveness in ovarian cancer have been the suitability of cell line models for ovarian cancer subtypes and the availability of information on comparatively how sensitive ovarian cancer cell lines are to platinum. We performed one of the most comprehensive profiles to date on 36 ovarian cancer cell lines across over seven subtypes and integrated drug response and multiomic data to improve on our understanding of the best cell line models for platinum responsiveness in ovarian cancer. RNA-seq analysis of the 36 cell lines in a single batch experiment largely conforms with the currently accepted subtyping of ovarian cancers, further supporting other studies that have reclassified cell lines and demonstrate that commonly used cell lines are poor models of high-grade serous ovarian carcinoma. We performed drug dose response assays in the 32 of these cell lines for cisplatin and carboplatin, providing a quantitative database of IC

Identifiers

PMID39131380
PMCPMC11312449

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.