Evidence map›Paper›PMID 41091247›Full record

ArticleDiscover oncology2025

Multi-omics analysis identified LGALS1 (Galectin-1) as a novel therapeutic target for clear cell renal cell carcinoma via targeting epithelial or endothelial cells.

Xiangyin Tan, Yingfei Chen, Chao Jiang, Jialiang Shao, Xiang Wang

Abstract read
In one paragraph

Article in Discover oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Xiangyin Tan *Department of Urology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, No.85 Wujin Road, Hongkou District, Shanghai, 200080, China.
Yingfei Chen *Department of Urology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, No.85 Wujin Road, Hongkou District, Shanghai, 200080, China.
Chao Jiang *Laoximen Street Community Health Service Center, Huangpu District, Shanghai, China.
Jialiang ShaoDepartment of Urology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, No.85 Wujin Road, Hongkou District, Shanghai, 200080, China. jialiang.shao1@shgh.cn.
Xiang WangDepartment of Urology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, No.85 Wujin Road, Hongkou District, Shanghai, 200080, China. xiang.wang1@shgh.cn.

Funding

National Natural Science Foundation of China 82372747
6 · The paper itself

Abstract

backgroundSince the pathophysiology of clear cell renal cell carcinoma (ccRCC) was still unknown, finding novel therapeutic targets to support current treatment approaches was crucial.

methodsWe conducted an RNA-Sequencing analysis using data from the TCGA-KIRC dataset, with our own clinical data serving as validation. Kaplan–Meier survival curves, univariate and multivariate studies of overall survival, and differential expression analysis were all used. Furthermore, we explored the correlation between LGALS1 (Galectin-1) and clinical characteristics in ccRCC patients by leveraging proteomics data from the CPTAC analysis. Additionally, the Single-cell RNA-Sequencing (scRNA-Seq) analysis elucidated the cellular landscape of LGALS1 using the GSE159115 database, complemented by pathway enrichment analysis via GO and KEGG datasets. Lastly, we performed an immunohistochemistry (IHC) analysis on ccRCC tissue microarrays and scored the staining intensity. While p < 0.05 was used for other analyses, p < 0.1 was deemed significant in multivariate analysis.

resultsAs shown in TCGA and confirmed in our clinical data, higher LGALS1 expression in ccRCC was associated with a bad prognosis. Proteomics analysis in the CPTAC dataset revealed that LGALS1 levels were statistically significant across different grade and stage groups of patients. The high expression was confirmed on the IHC chip, with tumor tissue displaying a higher staining intensity score. Additionally, scRNA-Seq analysis identified that the differential expression of LGALS1 primarily occurred in endothelial and epithelial cells, along with associated signaling pathways.

conclusionsWe performed a multi-omics analysis using transcriptomics, proteomics, single-cell omics, and our clinical data, confirming LGALS1 as a possible target for ccRCC.

Indexed as

ccRCCLGALS1Multi-omics analysisSingle-cell RNA-Seq

Identifiers

PMID41091247
PMCPMC12528606

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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.