Evidence map›Paper›PMID 41283082›Full record

ArticleIndian journal of surgical oncology2025

Identification and Validation of Cuproptosis-Related Signature to Predict Prognosis and Characterize Tumor Immune Infiltration in Kidney Clear Cell Carcinoma.

Yan Ding, Lei Zhao, Lijun Zhang, Xuanzhi Zhang, Ting Gu, Yanjin Zhang, Liwen Bu, Shuyi Zhang, Jue Luo

Abstract read
In one paragraph

Article in Indian journal of surgical oncology, 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. Review
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.

Yan Ding *Department of Nursing Administration, Fudan University Shanghai Cancer Center, Shanghai, 200032 China.
Lei Zhao *Department of Nursing Administration, Fudan University Shanghai Cancer Center, Shanghai, 200032 China.
Lijun Zhang *Department of Critical Care, Fudan University Shanghai Cancer Center, Shanghai, 200032 China.
Xuanzhi ZhangDepartment of Urology, Fudan University Shanghai Cancer Center, Shanghai , 200032 China.
Ting GuDepartment of Critical Care, Fudan University Shanghai Cancer Center, Shanghai, 200032 China.
Yanjin ZhangDepartment of Critical Care, Fudan University Shanghai Cancer Center, Shanghai, 200032 China.
Liwen Bu *Department of Nursing Administration, Fudan University Shanghai Cancer Center, Shanghai, 200032 China.
Shuyi Zhang *Department of Nursing Administration, Fudan University Shanghai Cancer Center, Shanghai, 200032 China.
Jue LuoDepartment of Nursing Administration, Fudan University Shanghai Cancer Center, Shanghai, 200032 China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cuproptosis is a novel form of cell death termed Cu-dependent cytotoxicity. However, the roles of cuproptosis-related genes (CPRGs) in Kidney Clear Cell Carcinoma (KIRC) have not been explored comprehensively. We obtained CPRGs and utilized consensus molecular clustering by "NMF" to stratify KIRC patients in the TCGA cohort. ssGSEA and CIBERSORT algorithms were used to evaluate the relative infiltration levels of immune cell types in a tumor microenvironment (TME). Risk_score based on CPRGs was calculated to predict patients' survival outcomes, and its performance was validated in the E-MTAB-1980 cohort. We identified three clusters with different clinicopathology characteristics. It was found that the cluster with the worst survival rates exhibited a higher enrichment of activated CD4/8 Supplementary Information: The online version contains supplementary material available at 10.1007/s13193-024-02171-x.

Indexed as

CuproptosisImmunotherapyKidney clear cell carcinomaPrognosisTumor microenvironment

Identifiers

PMID41283082
PMCPMC12630527

What OpenQuestion holds

Textmetadata
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.