Evidence map›Paper›PMID 42440783›Full record

ReviewFrontiers in immunology2026

Immune heterogeneity and therapeutic resistance in gynecological malignancies.

Mengyi Zhang, Binhan Guo

Abstract readReview
In one paragraph

Review in Frontiers in immunology, 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

2 authors.

Mengyi ZhangDepartment of Laboratory Medicine, West China Second University Hospital, Sichuan University, Chengdu, China.
Binhan GuoDepartment of Laboratory Medicine, West China Second University Hospital, Sichuan University, Chengdu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Gynecological malignancies are characterized by profound cellular heterogeneity, dynamic immune remodeling, and frequent therapeutic resistance, which together limit durable clinical responses. Single-cell sequencing has emerged as a powerful approach for dissecting tumor ecosystems at unprecedented resolution, enabling the identification of malignant subclones, immune cell states, stromal subsets, lineage trajectories, and intercellular communication networks. In cervical cancer, single-cell studies have revealed epithelial diversity, HPV-associated immune suppression, exhausted T/NK-cell populations, macrophage polarization, and genomic alterations linked to chemoradiotherapy resistance. In ovarian cancer, single-cell analyses have refined the understanding of fallopian tube origin, molecular subtypes, metastatic dissemination, ascites-associated immune suppression, platinum resistance, and tertiary lymphoid structure-related immune phenotypes. In endometrial cancer, single-cell profiling has uncovered heterogeneous cancer-associated fibroblast populations, epithelial biomarkers, and stromal-immune interactions with prognostic relevance. This review summarizes recent advances in single-cell sequencing across cervical, ovarian, and endometrial cancers, with particular emphasis on immune heterogeneity, tumor-microenvironment crosstalk, therapeutic resistance, and emerging opportunities for precision immunotherapy.

Indexed as

Drug Resistance, NeoplasmGenital Neoplasms, FemaleAnimalsFemaleHumansSingle-Cell AnalysisTumor Microenvironmentdrug resistancegynecological malignanciesNK cellsingle-cell sequencingT celltumor heterogeneitytumor microenvironment

Identifiers

PMID42440783
PMCPMC13333617

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.