Evidence map›Paper›PMID 41171494›Full record

ArticleClinical and experimental medicine2025

Integrated bioinformatics analysis reveals novel PANoptosis biomarkers and therapeutic response in clear cell renal cell carcinoma.

Bin Zheng, Kan Liu, Qing Ouyang, Shengpan Wu, Tongyu Jia, Ji Feng, Jichen Wang, Yuhao Dong, Xiubin Li, Xin Ma and 1 more

Abstract read
In one paragraph

Article in Clinical and experimental 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. 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

11 authors.

Bin Zheng *Department of Urology, The Third Medical Centre, Chinese PLA General Hospital, No 69 Yongding Road, Beijing, 100039, China.
Kan Liu *Department of Urology, The Third Medical Centre, Chinese PLA General Hospital, No 69 Yongding Road, Beijing, 100039, China.
Qing Ouyang *Beijing Mentougou District Hospital, Beijing, China.
Shengpan WuDepartment of Urology, The Third Medical Centre, Chinese PLA General Hospital, No 69 Yongding Road, Beijing, 100039, China.
Tongyu JiaDepartment of Urology, The Third Medical Centre, Chinese PLA General Hospital, No 69 Yongding Road, Beijing, 100039, China.
Ji FengDepartment of Urology, The Third Medical Centre, Chinese PLA General Hospital, No 69 Yongding Road, Beijing, 100039, China.
Jichen WangDepartment of Urology, The Third Medical Centre, Chinese PLA General Hospital, No 69 Yongding Road, Beijing, 100039, China.
Yuhao DongDepartment of Urology, The Third Medical Centre, Chinese PLA General Hospital, No 69 Yongding Road, Beijing, 100039, China.
Xiubin LiDepartment of Urology, The Third Medical Centre, Chinese PLA General Hospital, No 69 Yongding Road, Beijing, 100039, China.
Xin MaDepartment of Urology, The Third Medical Centre, Chinese PLA General Hospital, No 69 Yongding Road, Beijing, 100039, China.
Xu ZhangDepartment of Urology, The Third Medical Centre, Chinese PLA General Hospital, No 69 Yongding Road, Beijing, 100039, China. xzhang301@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Clear cell renal cell carcinoma (ccRCC) is the most common type of RCC. Apoptosis, pyroptosis, and necroptosis are key regulatory processes in carcinogenesis. Accumulating evidence indicated significant crosstalk among three forms of cell death, which is termed as the PANoptosis. However, the connection between PANoptosis and ccRCC remains uncertain. Here, we utilized the TCGA and GEO database to explore distinct PANoptosis patterns based on 62 PANoptosis genes and investigated the clinical, biological, and immune cell infiltration characteristics of PANoptosis patterns. Then, we identified prognosis-related genes from PANoptosis patterns and developed a scoring system that effectively predicts clinical outcomes of ccRCC patients. We also explored the expression of key regulators to confirm these identifications. Immunological analyses revealed a positive correlation between risk score and M0 type macrophages, activated mast cells, follicular helper T cells, and regulatory T cells. Finally, the risk model demonstrated the ability to predict drug sensitivity for ccRCC, such as sorafenib, rapamycin and pazopanib. In conclusion, our findings offer novel insights into the role of PANoptosis in ccRCC and identify potential targets for controlling ccRCC.

Indexed as

Biomarkers, TumorCarcinoma, Renal CellComputational BiologyKidney NeoplasmsNecroptosisGene Expression ProfilingGene Expression Regulation, NeoplasticHumansIndazolesPrognosisPyrimidinesPyroptosisSirolimusSorafenibSulfonamidesBiomarkers, TumorIndazolespazopanibPyrimidinesSirolimusSorafenibSulfonamidesClear cell renal cell carcinomaDrug sensitivityPANoptosisPrognosis

Identifiers

PMID41171494
PMCPMC12578708

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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.