Evidence map›Paper›PMID 42338588›Full record

ArticleFrontiers in immunology2026

Multi-omics analysis of kidney renal cell carcinoma in silico with preliminary

Tingyu Su, Fan Jiang, Jianjun Gao, Xiubin Li, Hongmei Cheng, Yang Wang

Abstract read
In one paragraph

Article in Frontiers in immunology, 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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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

6 authors.

Tingyu Su *Department of Nephrology, First Medical Center of Chinese People's Liberation Army (PLA) General Hospital, State Key Laboratory of Kidney Diseases, National Clinical Research Center for Kidney Diseases, Beijing, China.
Fan Jiang *Section of Health, No. 94804 Unit of the Chinese People's Liberation Army, Shanghai, China.
Jianjun GaoDepartment of Nephrology, the Ninth Medical Center of People's Liberation Army (PLA) General Hospital, Beijing, China.
Xiubin LiDepartment of Urology, the Third Medical Center of People's Liberation Army General Hospital, Beijing, China.
Hongmei ChengDepartment of Nephrology, the Eighth Medical Center of People's Liberation Army General Hospital, Beijing, China.
Yang WangDepartment of Nephrology, First Medical Center of Chinese People's Liberation Army (PLA) General Hospital, State Key Laboratory of Kidney Diseases, National Clinical Research Center for Kidney Diseases, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Kidney renal clear cell carcinoma (KIRC) has a poor clinical prognosis, and its tumor progression and immunotherapy response are closely associated with genomic aberrations and immune microenvironment disorders. This study aimed to identify key prognostic biomarkers and potential therapeutic targets for KIRC via multi-omics integrative analysis and preliminary experimental validation. Methods: Multi-omics data including transcriptome, methylation, copy number variation (CNV), and immune infiltration data of KIRC were integrated from public databases, and further validated by single-cell RNA sequencing (scRNA-seq), two-sample Mendelian randomization (TSMR), in silico gene knockout, and quantitative PCR (qPCR). Results: Results demonstrated that CRHBP was a core downregulated prognostic biomarker in KIRC, with stage-dependent low expression and favorable survival predictive value (OS HR = 0.42, 95%CI: 0.395-0.45, P<0.05). ScRNA-seq revealed a compartmentalized CRHBP expression pattern and its differential regulation by immune checkpoint blockade (ICB) treatment and gender. TSMR confirmed the causal risk effect of testicular-derived UCN2 on KIRC, and UCN2 negatively correlated with tumor angiogenesis and hypoxia. Molecular docking screened dabrafenib as a promising candidate drug targeting CRHBP/UCN2 (binding affinity: -11.55/-17.23 kcal/mol). In silico knockout of CRHBP altered SRGN/TYROBP expression and inhibited cytokine production. QPCR verified decreased CRHBP expression in human KIRC tissues and elevated UCN2 expression in mouse KIRC tissues. Conclusions: The CRHBP-UCN2 axis critically regulates KIRC prognosis and immune microenvironment remodeling. CRHBP serves as a reliable prognostic biomarker and a potential anticancer peptide target, while dabrafenib is a promising therapeutic agent for KIRC.

Indexed as

Carcinoma, Renal CellKidney NeoplasmsAnimalsBiomarkers, TumorComputer SimulationDNA Copy Number VariationsFemaleGene Expression Regulation, NeoplasticHumansMaleMiceMolecular Docking SimulationMultiomicsPrognosisTranscriptomeTumor MicroenvironmentBiomarkers, Tumorbioinformaticsclinical prognosisimmune microenvironmentin silico knockoutkidney renal clear cell carcinoma (KIRC)two-sample mendelian randomization (TSMR)

Identifiers

PMID42338588
PMCPMC13284111

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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.