Evidence map›Paper›PMID 41764475›Full record

ArticleBMC cancer2026

Bioinformatics analyses reveal the role of RIPK1 in clear cell renal cell carcinoma.

Daocheng Fang, Yuanyuan Hu, Shuangquan Sun, Hui Wen, Jie Fan

Abstract read
In one paragraph

Article in BMC cancer, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Daocheng Fang *Department of Urology, Shanghai General Hospital of Nanjing Medical University, Shanghai, China.
Yuanyuan Hu *Department of General Practice, Songjiang hospital affiliated to Shanghai jiaotong university school of medicine, Shanghai, China.
Shuangquan Sun *Department of Urology, Songjiang hospital affiliated to Shanghai jiaotong university school of medicine, Shanghai, China.
Hui WenDepartment of Urology, Songjiang hospital affiliated to Shanghai jiaotong university school of medicine, Shanghai, China. whsimon2000@aliyun.com.
Jie FanDepartment of Urology, Shanghai General Hospital of Nanjing Medical University, Shanghai, China. jief67@sina.com.

Funding

by the Key Discipline Construction Project of Songjiang District, Shanghai 2025czys011the Science and Technology Innovation Project of Songjiang District, Shanghai 2025SJKJGG43
6 · The paper itself

Abstract

backgroundReceptor interacting protein kinase 1 (RIPK1) is crucial in the regulation of apoptosis; however, its significance in clear cell renal cell carcinoma (ccRCC) is not well understood.

methodsUtilizing data collected from public databases, RIPK1 expression level was compared between ccRCC and control groups. The diagnostic capability of RIPK1 was confirmed by drawing receiver operating characteristic (ROC) curve. A nomogram was created based on the RIPK1 and primary clinical features of ccRCC patients. Finally, quantitative reverse transcription polymerase chain reaction (qRT-PCR) was employed to confirm the expression of RIPK1, and cell experiments including colony formation, cell counting kit8 (CCK-8), cell scratch, and Transwell assays were conducted to explore the role of RIPK1.

resultsThe expression of RIPK1 was higher in ccRCC samples compared to normal samples (Fold-change = 0.24), which was confirmed in in vitro verification experiments. And the area under the ROC curve (AUC) values in the TCGA-ccRCC, GSE53757, and GSE66272 datasets were all greater than 0.7, indicating that RIPK1 had acceptable diagnostic ability for ccRCC patients. Then, clinical parameters such as stage, grade, and age may serve as independent prognostic indicators for ccRCC, and a nomogram was developed based on these clinical attributes and RIPK1. The AUC values of the nomogram at 1, 3, and 5 years were 0.904, 0.841, and 0.779, respectively, proving that it can effectively distinguish patients with different prognostic outcomes. According to the results of cell experiments, the RIPK1 overexpression (OE) group was associated with increased cell viability, proliferation, invasion, and migration capabilities compared to the control group. In contrast, these capabilities were markedly decreased in cells subsequent to RIPK1 knockdown (KD).

conclusionThe elevated expression of RIPK1 may be involved in enhancing the viability of ccRCC cells and promoting their proliferation and migration capabilities, therefore establishing a basis for clarifying the function of RIPK1 in the advancement of ccRCC.

Indexed as

Biomarkers, TumorCarcinoma, Renal CellKidney NeoplasmsReceptor-Interacting Protein Serine-Threonine KinasesApoptosisCell Line, TumorCell MovementCell ProliferationComputational BiologyFemaleGene Expression Regulation, NeoplasticHumansMaleMiddle AgedNomogramsPrognosisBiomarkers, TumorReceptor-Interacting Protein Serine-Threonine KinasesRIPK1 protein, humanApoptosisClear cell renal cell carcinomaDiagnosisNomogram modelRIPK1

Identifiers

PMID41764475
PMCPMC13059486

What Socratic holds

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LicenceCC BY-NC-ND
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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.