Evidence map›Paper›PMID 40969770›Full record

ArticleFrontiers in immunology2025

Identification of necroptosis-associated mRNA biomarkers in kidney clear cell carcinoma.

Xiaobo Zhang, Qiaoying Jin, Gafang Cheng, Haiyu Niu, Suping Yang, Shicheng Chen

Abstract read
In one paragraph

Article in Frontiers in immunology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
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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.

Xiaobo Zhang *Cuiying Biomedical Research Center, The Second Hospital & Clinical Medicine School, Lanzhou University, Lanzhou, China.
Qiaoying Jin *Cuiying Biomedical Research Center, The Second Hospital & Clinical Medicine School, Lanzhou University, Lanzhou, China.
Gafang ChengCuiying Biomedical Research Center, The Second Hospital & Clinical Medicine School, Lanzhou University, Lanzhou, China.
Haiyu NiuDepartment of Oncology, The Second Hospital & Clinical Medical School, Lanzhou University, Lanzhou, China.
Suping YangDepartment of Bioengineering and Biotechnology, College of Chemical Engineering, Huaqiao University, Xiamen, China.
Shicheng ChenMedical Laboratory Sciences Program, College of Health and Human Sciences, Northern Illinois University, DeKalb, IL, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Kidney clear cell carcinoma (KIRC) is the most common subtype of renal malignancy with a high mortality rate. It is difficult to treat and often leads to death due to its genomic heterogeneity, metastatic nature, and limited effectiveness of targeted and immunotherapies. Recent studies showed that the progression of KIRC is frequently accompanied by significant changes in necroptosis while these studies were limited by small gene sets, which increases the risk of missing low-expressed yet important genes. Methods: This study focused on necroptosis-associated genes within the context of KIRC and performed a complete closed-loop studies by gene screening, gene expression analysis, model validation and experimental translation. Results: Among screened nine core biomarkers ( Conclusion: This study offers multi-dimensional data that support novel mechanistic investigations and provide valuable insights for developing precision immunotherapy strategies in KIRC.

Indexed as

Biomarkers, TumorCarcinoma, Renal CellKidney NeoplasmsNecroptosisRNA, MessengerCell Line, TumorFemaleGene Expression ProfilingGene Expression Regulation, NeoplasticHumansMaleMiddle AgedPrognosisBiomarkers, TumorRNA, Messengerbiomarkersimmune microenvironmentKIRCnecroptosisprognostictherapeutic target

Identifiers

PMID40969770
PMCPMC12440986

What OpenQuestion holds

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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 OpenQuestion graph.