Evidence map›Paper›PMID 42008432›Full record

ArticlePloS one2026

Analysis of ovarian cancer immune cell profile identifies immunosuppressive states associated with adverse clinical attributes and survival times.

Ana Moscoso, Navid Mohammad Mirzaei, Leili Shahriyari

Abstract read
In one paragraph

Article in PloS one, 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

3 authors.

Ana MoscosoDepartment of Mathematics and Statistics, University of Massachusetts Amherst, Amherst, Massachusetts, United States of America.ORCID https://orcid.org/0009-0007-9659-4681
Navid Mohammad MirzaeiDepartment of Epidemiology, Mailman School of Public Health, Columbia University, New York, New York, United States of America.ORCID https://orcid.org/0000-0002-0971-0514
Leili ShahriyariDepartment of Mathematics and Statistics, University of Massachusetts Amherst, Amherst, Massachusetts, United States of America.ORCID https://orcid.org/0000-0001-6234-8449

Funding

Advancing Disease Modeling through Mathematical Frameworks: Leveraging Single-Cell Spatial Data to Uncover Tissue-Specific Pathways and Immune ResponsesR35GM159993 · NIGMS · UNIVERSITY OF MASSACHUSETTS AMHERST · PI Leili Shahriyari · 2025 to 2026
$813k
NIGMS NIH HHS R35 GM159993
6 · The paper itself

Abstract

The ovarian tumor microenvironment (TME) is highly immunosuppressive, limiting immunotherapy effectiveness. We investigated whether the composition, ratios, and polarization of infiltrating immune cells provide prognostic value in ovarian cancer (OC). Our analysis revealed that immune ratios, including CD8/Treg and CD8/CD4, were more predictive of survival than absolute CD8 + , CD4 + , or Treg levels. Prior studies have reported associations between higher CD8/Treg ratios and improved responses to immune checkpoint inhibitors, highlighting the importance of effector-regulator balance; however, immunotherapy response was not evaluated in this cohort. Additionally, macrophage polarization proved to be crucial: pro-tumor M2-macrophages were associated with vascular invasion, persistent tumor, and worse survival, while higher naïve M0-macrophage levels predicted improved outcomes. Surprisingly, anti-tumor M1-macrophages lacked prognostic significance, suggesting possible benefits in preserving an M0-macrophage pool. Neutrophil infiltration, though relatively uncommon, correlated with poor survival, supporting reports that neutrophils suppress T-cell responses. Immune infiltration was linked to aggressive features such as vascular invasion, reflecting both heightened recognition and compensatory recruitment of suppressive populations. Unsupervised clustering identified four immune-defined subtypes, with worse survival in clusters enriched for M2-macrophages and CD4 + T-cells and depleted in M0-macrophages, particularly in advanced disease. Overall, our findings highlight the prognostic value of immune ratios, macrophage polarization, and neutrophil activity in OC, suggesting new avenues for risk stratification and future therapeutic investigation.

Indexed as

Ovarian NeoplasmsCD8-Positive T-LymphocytesFemaleHumansLymphocytes, Tumor-InfiltratingMacrophagesPrognosisT-Lymphocytes, RegulatoryTumor Microenvironment

Identifiers

PMID42008432
PMCPMC13094978

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.