Evidence map›Paper›PMID 41284374›Full record

ArticleJournal of cellular and molecular medicine2025

PTGER4 Governs Immune Evasion and Therapy Resistance in Kidney Cancer via Ribosome Biogenesis Dysregulation.

Hanjing Zhou, Zirui Li, Jun Ying, Yan Liu, Xuchun Xu, Jian Huang

Abstract read
In one paragraph

Article in Journal of cellular and molecular medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

6 authors.

Hanjing ZhouDepartment of Nephrology, Jinhua Hospital of Zhejiang University, Jinhua, China.
Zirui LiCenter for Cancer Bioinformatics, Peking University Cancer Hospital & Institute, Beijing, China.ORCID 0009-0003-7406-8796
Jun YingDepartment of Nephrology, Jinhua Hospital of Zhejiang University, Jinhua, China.
Yan LiuDepartment of Nephrology, Jinhua Hospital of Zhejiang University, Jinhua, China.
Xuchun XuDepartment of Nephrology, Jinhua Hospital of Zhejiang University, Jinhua, China.
Jian HuangDepartment of Nephrology, Jinhua Hospital of Zhejiang University, Jinhua, China.

Funding

Key science and technology project in Jinhua city 2021-3-073
6 · The paper itself

Abstract

Kidney renal clear cell carcinoma (KIRC) is associated with abnormal ribosome production (RiboSis), but how this affects tumour growth and response to immunotherapy is still unclear. In this study, we analysed large-scale multi-omics data using machine learning. Using single-cell RNA sequencing and gene network analysis (hdWGCNA), we found a key RiboSis-related gene group. We then classified KIRC tumours into two subtypes based on RiboSis activity. Patients with subtype 1 lived significantly longer, and this group showed activation of tumour-promoting pathways. Using machine learning, we identified PTGER4 as a potential tumour suppressor. Higher PTGER4 levels were linked to better survival in multiple patient groups. Tumours with high PTGER4 also had stronger immune cell activity and higher levels of immunotherapy-related markers, suggesting they may respond better to immune-based treatments. PTGER4 also predicted better outcomes with certain chemotherapy drugs. Further analysis confirmed that PTGER4 is involved in immune-related pathways and is often reduced in tumours, supporting its role in slowing cancer progression. Lab experiments confirmed that PTGER4 helps block tumour growth. These findings suggest PTGER4 plays a central role in KIRC progression and treatment response. Targeting RiboSis-related mechanisms and PTGER4-related pathways could lead to better therapies for KIRC patients.

Indexed as

Carcinoma, Renal CellDrug Resistance, NeoplasmImmune EvasionKidney NeoplasmsOrganelle BiogenesisRibosomesAnimalsCell Line, TumorGene Expression Regulation, NeoplasticGene Regulatory NetworksHumansImmunotherapyimmunotherapyKIRCmachine learningPTGER4ribosome biogenesis

Identifiers

PMID41284374
PMCPMC12643046

What Socratic holds

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LicenceCC BY
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Registered trials

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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 Socratic graph.