Evidence mapPaperPMID 41953398Full record

ArticleHuman mutation2026

Jialu Zhou, Tao Zeng, Yi Liu, Mingxia Ye, Mingxia Li, Zhe Zhang, Yuanguang Meng

Abstract read
In one paragraph

Article in Human mutation, 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

7 authors.

Jialu ZhouMedical School of Chinese PLA, Beijing, China, 301hospital.com.cn.ORCID https://orcid.org/0009-0008-9379-9427
Tao ZengMedical School of Chinese PLA, Beijing, China, 301hospital.com.cn.ORCID https://orcid.org/0000-0001-5999-567X
Yi LiuDepartment of General Surgery, 7th Medical Center of Chinese PLA General Hospital, Beijing, China.ORCID https://orcid.org/0000-0002-0973-4241
Mingxia YeDepartment of Gynecology and Obstetrics, 7th Medical Center of Chinese PLA General Hospital, Beijing, China.ORCID https://orcid.org/0000-0003-4917-6130
Mingxia LiDepartment of Gynecology and Obstetrics, 7th Medical Center of Chinese PLA General Hospital, Beijing, China.ORCID https://orcid.org/0000-0002-9000-0332
Zhe ZhangDepartment of Gynecology and Obstetrics, 7th Medical Center of Chinese PLA General Hospital, Beijing, China.ORCID https://orcid.org/0009-0007-7446-7278
Yuanguang MengMedical School of Chinese PLA, Beijing, China, 301hospital.com.cn.ORCID https://orcid.org/0000-0002-4957-3999

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: High-grade serous ovarian cancer (HGSOC) is characterized by a complex tumor microenvironment and poor prognosis, yet the roles of specific tumor-associated macrophages (TAMs) subpopulations in driving disease progression remain elusive. Methods: This study evaluated the prognostic relevance of Results: HGSOC patients classified as high risk exhibited poorer survival outcomes, increased infiltration of M2-like macrophages, elevated expression of immune checkpoints, and enrichment of immune- and ferroptosis-related pathways. Trajectory and copy number variation analyses revealed stage-specific gene expression patterns and amplification-associated regulation. Drug-gene association analyses further suggested that high-risk patients may be more responsive to targeted therapies and proteasome inhibitors, whereas low-risk patients may benefit from conventional chemotherapy. Conclusion:

Indexed as

Cystadenocarcinoma, SerousFerroptosisMacrophagesOvarian NeoplasmsReceptors, IgGTumor-Associated MacrophagesBiomarkers, TumorDNA Copy Number VariationsFemaleGene Expression ProfilingGene Expression Regulation, NeoplasticHumansMultiomicsNeoplasm GradingPrognosisTumor MicroenvironmentBiomarkers, TumorFCGR2B protein, humanReceptors, IgGFCGR2Bferroptosishigh-grade serous ovarian cancermacrophagetumor microenvironment

Identifiers

PMID41953398
PMCPMC13054137

What Socratic 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 Socratic graph.