Evidence map›Paper›PMID 42073515›Full record

ArticleCancers2026

Chemotherapy Enrichment of ID Family Expression Is Associated with IL-6 Signaling in Ovarian Cancer.

Megan Anne Keene, Darren Lighter, Cassandra Brenner, Ixchel Urbano, Katelyn Shelby, Samuel F Gilbert, Mikella Robinson, Carrie D House

Abstract read
In one paragraph

Article in Cancers, 2026. 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

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Megan Anne KeeneBiology Department, San Diego State University, San Diego, CA 92106, USA.ORCID 0009-0000-1262-5778
Darren LighterBiology Department, San Diego State University, San Diego, CA 92106, USA.
Cassandra BrennerBiology Department, San Diego State University, San Diego, CA 92106, USA.ORCID 0009-0001-9188-3472
Ixchel UrbanoBiology Department, San Diego State University, San Diego, CA 92106, USA.
Katelyn ShelbyBiology Department, San Diego State University, San Diego, CA 92106, USA.
Samuel F GilbertBiology Department, San Diego State University, San Diego, CA 92106, USA.
Mikella RobinsonBiology Department, San Diego State University, San Diego, CA 92106, USA.ORCID 0000-0001-6198-7185
Carrie D HouseBiology Department, San Diego State University, San Diego, CA 92106, USA.ORCID 0000-0002-1870-5872

Funding

TALENT Shared Resources CoreU54CA285115 · NCI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI MARIA ELENA MARTINEZ · 2023 to 2026
$6.6M
Research Education CoreU54CA285117 · NCI · SAN DIEGO STATE UNIVERSITY · PI Richard Matthew Cripps, MARIA ELENA MARTINEZ · 2023 to 2026
$6.2M
Alternative NF-kB activation in post-chemotherapy setting to elucidate novel mechanisms of ovarian cancer relapseR01CA260281 · NCI · SAN DIEGO STATE UNIVERSITY · PI Carrie Danielle House · 2022 to 2026
$2.1M
San Diego State University Advancing Cancer Careers for ExceLlence (ACCEL)R25CA285813 · NCI · SAN DIEGO STATE UNIVERSITY · PI Rebecca Lewison · 2023 to 2026
$1.4M
Role of NF-kB signaling in supporting ovarian cancer tumor-initiating cells responsible for cancer recurrenceR00CA204727 · NCI · SAN DIEGO STATE UNIVERSITY · PI HOUSE, CARRIE DANIELLE · 2018 to 2020
$861k
NCI NIH HHS K99 CA204727NCI NIH HHS R00 CA204727NCI NIH HHS R00CA20472703NCI NIH HHS R01 CA260281NCI NIH HHS R01CA260281NCI NIH HHS R25CA285813NCI NIH HHS U54 CA285115NCI NIH HHS U54CA285117
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

cancer stem-like cellsID proteinsovarian cancertumor microenvironment

Identifiers

PMID42073515
PMCPMC13114274

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.