Evidence map›Paper›PMID 41648422›Full record

ArticlebioRxiv : the preprint server for biology2026

Deconvolved tumor adipocyte proportions and high grade serous ovarian carcinoma survival.

Adriana Ivich, Laurie Grieshober, Natalie R Davidson, Grace Y Akatsu, Lauren C Peres, Stephanie C Hicks, Jeffrey R Marks, Joellen M Schildkraut, Jennifer A Doherty, Casey S Greene

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 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

10 authors.

Adriana IvichDepartment of Biomedical Informatics, University of Colorado Anschutz, Aurora, CO, USA.
Laurie GrieshoberDepartment of Population Health Sciences and Huntsman Cancer Institute, University of Utah.
Natalie R DavidsonDepartment of Biomedical Informatics, University of Colorado Anschutz, Aurora, CO, USA.
Grace Y AkatsuDepartment of Biomedical Informatics, University of Colorado Anschutz, Aurora, CO, USA.ORCID 0000-0003-2411-1592
Lauren C PeresDepartment of Cancer Epidemiology, Moffitt Cancer Center.ORCID 0000-0002-6620-8600
Stephanie C HicksDepartment of Biostatistics, Johns Hopkins University, Baltimore, MD, USA.ORCID 0000-0002-7858-0231
Jeffrey R MarksDepartment of Surgery, Duke University.
Joellen M SchildkrautDepartment of Epidemiology, Rollins School of Public Health, Emory University Atlanta, GA.
Jennifer A DohertyDepartment of Population Health Sciences and Huntsman Cancer Institute, University of Utah.
Casey S GreeneDepartment of Biomedical Informatics, University of Colorado Anschutz, Aurora, CO, USA.ORCID 0000-0001-8713-9213

Funding

Virology Research Program (Program 4)P30CA016086 · NCI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Deborah F. Tate · 1985 to 2026
$201.5M
UTAH REGIONAL CANCER CENTERP30CA042014 · NCI · UTAH STATE HIGHER EDUCATION SYSTEM--UNIVERSITY OF UTAH · PI Jared P Rutter · 1986 to 2026
$72.6M
Epidemiology of Ovarian Cancer in African-American WomenR01CA142081 · NCI · UNIVERSITY OF VIRGINIA · PI SCHILDKRAUT, JOELLEN M. · 2010 to 2015
$10.6M
The Molecular Epidemiology Of Ovarian CancerR01CA076016 · NCI · DUKE UNIVERSITY · PI SCHILDKRAUT, JOELLEN M. · 1998 to 2010
$6.2M
Discovery of Novel Rare Variants as Ovarian Cancer Susceptibility FactorsR01CA188943 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI HILDEBRANDT, MICHELLE A T, HUFF, CHAD DANIEL · 2015 to 2019
$5.5M
Characterization of high-grade serous ovarian cancer subtypes via single-cell profilingR01CA237170 · NCI · UNIVERSITY OF PENNSYLVANIA · PI DOHERTY, JENNIFER A., GREENE, CASEY S · 2019 to 2024
$3.0M
Characterizing Molecular Subtypes of Ovarian Cancer in African-American WomenR01CA200854 · NCI · UNIVERSITY OF UTAH · PI DOHERTY, JENNIFER A., SCHILDKRAUT, JOELLEN M. · 2016 to 2021
$2.8M
NCI NIH HHS P30 CA016086NCI NIH HHS P30 CA042014NCI NIH HHS R01 CA076016NCI NIH HHS R01 CA142081NCI NIH HHS R01 CA188943NCI NIH HHS R01 CA200854NCI NIH HHS R01 CA237170
6 · The paper itself

Abstract

Background: Single-cell-based analyses of high-grade serous ovarian carcinoma (HGSOC) survival have largely ignored adipocytes, which are fragile and under-represented in single-cell references. Adipocytes are known active components of the tumor microenvironment in many cancers, and HGSOC tumors frequently metastasize to the omentum, a lining of adipose tissue. Methods: We created a composite reference that combines single-nucleus adipose profiles with published HGSOC single-cell data to deconvolve 588 bulk RNA-seq tumours from the Results: A 10% increase in estimated tumor adipocyte content was associated with a 41% increase in the hazard of death (HR = 1.41, 95% CI 1.18-1.70, p = 0.0002) after adjusting for age, BMI and race (n=566). A 10% increase in immune cell proportion was associated with favorable survival (HR = 0.82, 95% CI 0.69-0.97, p = 0.024). Stromal and epithelial macro-fractions were not associated with survival. Associations with adipocyte and immune cell type proportions were unchanged in models additionally controlling the other cell type proportions. Results were similar after additionally adjusting for residual disease after debulking surgery. Conclusions: Adipocytes may be a tumor-intrinsic factor associated with adverse outcomes in HGSOC. Quantifying adipocyte burden using bulk RNA-seq could enhance risk stratification and guide the development of adipocyte-targeted therapies.

Identifiers

PMID41648422
PMCPMC12871784

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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.