Evidence map›Paper›PMID 42318410›Full record

ArticleFrontiers in medicine2026

Elevated PTK6 expression is associated with tumor immune microenvironment remodeling and predicts poor prognosis in endometrial carcinoma.

Zebiao Ma, Jiongyu Chen, Lihua Tang, Jing Wang, Shuaibing Yang, Haituo Wu, Li Zhou, Qingsong Qin, Xiaojing Wang

Abstract read
In one paragraph

Article in Frontiers in medicine, 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

9 authors.

Zebiao MaDepartment of Gynecologic Oncology, Guangdong Engineering Research Center of AI-Powered Precision Cancer Diagnostics and Therapeutics (Proposed)/GuangDong Engineering Technology Research Center of AI-Powered Precision Cancer Diagnostics and Therapeutics, Cancer Hospital of Shantou University Medical College, Shantou, China.
Jiongyu ChenCentral Laboratory, Cancer Hospital of Shantou University Medical College, Shantou, China.
Lihua TangDepartment of Gynecologic Oncology, Guangdong Engineering Research Center of AI-Powered Precision Cancer Diagnostics and Therapeutics (Proposed)/GuangDong Engineering Technology Research Center of AI-Powered Precision Cancer Diagnostics and Therapeutics, Cancer Hospital of Shantou University Medical College, Shantou, China.
Jing WangDepartment of Obstetrics and Gynecology, Second Affiliated Hospital of Shantou University Medical College, Shantou, China.
Shuaibing YangLaboratory of Human Virology and Oncology, Shantou University Medical College, Shantou, China.
Haituo WuDepartment of Gynecologic Oncology, Guangdong Engineering Research Center of AI-Powered Precision Cancer Diagnostics and Therapeutics (Proposed)/GuangDong Engineering Technology Research Center of AI-Powered Precision Cancer Diagnostics and Therapeutics, Cancer Hospital of Shantou University Medical College, Shantou, China.
Li ZhouDepartment of Gynecologic Oncology, Guangdong Engineering Research Center of AI-Powered Precision Cancer Diagnostics and Therapeutics (Proposed)/GuangDong Engineering Technology Research Center of AI-Powered Precision Cancer Diagnostics and Therapeutics, Cancer Hospital of Shantou University Medical College, Shantou, China.
Qingsong QinDepartment of Gynecologic Oncology, Guangdong Engineering Research Center of AI-Powered Precision Cancer Diagnostics and Therapeutics (Proposed)/GuangDong Engineering Technology Research Center of AI-Powered Precision Cancer Diagnostics and Therapeutics, Cancer Hospital of Shantou University Medical College, Shantou, China.
Xiaojing WangDepartment of Gynecologic Oncology, Guangdong Engineering Research Center of AI-Powered Precision Cancer Diagnostics and Therapeutics (Proposed)/GuangDong Engineering Technology Research Center of AI-Powered Precision Cancer Diagnostics and Therapeutics, Cancer Hospital of Shantou University Medical College, Shantou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Uterine corpus endometrial carcinoma (UCEC) incidence rises globally, with >50% of advanced/recurrent patients showing poor response to immune checkpoint inhibitors due to inadequate biomarkers. Protein tyrosine kinase 6 (PTK6), aberrantly expressed in malignancies and linked to tumor progression, lacks defined clinical significance in UCEC. Methods: Multi-omics analysis utilized UCEC RNA-seq (TCGA/GEO) and proteomics (CPTAC). PTK6 protein interactors from STRING were used for functional enrichment analysis. Tumor microenvironment (TME) was assessed via ESTIMATE (stromal/immune scores), TIMER3 (immune infiltration), and TCIA (immunophenoscore, IPS). Immunohistochemistry (IHC) validation ( Results: PTK6 was upregulated in UCEC ( Conclusion: PTK6 represents a context-dependent prognostic biomarker linked to tumor immune microenvironment remodeling in UCEC, suggesting its potential utility for immunotherapeutic optimization.

Indexed as

immunotherapyprognostic biomarkerprotein tyrosine kinase 6tumor immune microenvironmentuterine corpus endometrial carcinoma

Identifiers

PMID42318410
PMCPMC13272333

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.