Dissecting Genetic Mechanisms of UTUC: A Network-Based Multi-Omics Cohort Study

Tingting Fu , Banghua Liao , Yong Yang , Meilin Jiang , Yuedan Liu , Yixiao Zhang , Nanyan Xiang , Le Wang , Ga Liao , Yifei Lin , Jin Huang

Journal of Evidence-Based Medicine ›› 2025, Vol. 18 ›› Issue (4) : e70093

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Journal of Evidence-Based Medicine ›› 2025, Vol. 18 ›› Issue (4) :e70093 DOI: 10.1111/jebm.70093
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Dissecting Genetic Mechanisms of UTUC: A Network-Based Multi-Omics Cohort Study
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Abstract

Objective: Upper tract urothelial carcinoma (UTUC) accounts for about 31% of urothelial malignancies in China, a markedly higher proportion than in Western countries. Limited molecular understanding hampers diagnosis and therapy. This study aimed to explore molecular mechanisms and identify potential biomarkers through a cohort-based integrative multi-omics analysis.

Methods: We analyzed 48 paired UTUC tumor and adjacent normal tissues. RNA and whole-exome sequencing were performed to explore difference. Weighted gene co-expression network analysis (WGCNA) was used to identify modules and hub genes associated with pathological traits. Validation included survival analysis within the discovery cohort, cross-cancer evaluation using The Cancer Genome Atlas Bladder Urothelial Carcinoma dataset (TCGA-BLCA) via gene expression profiling interactive analysis, and independent confirmation with a UTUC cohort from cBioPortal (n = 32). Protein expression was examined using immunohistochemistry (IHC) data from the Human Protein Atlas.

Results: We identified 3968 differentially expressed genes enriched in genitourinary development and calcium signaling pathways. WGCNA revealed four co-expression modules associated with infiltration, with 64 genes linked to pathological traits. Integrative analysis prioritized methionine sulfoxide reductase B3 (MSRB3) and Synaptopodin 2 (SYNPO2) as hub genes. Within the UTUC cohort, both genes showed trends toward poorer progression-free survival; in TCGA-BLCA, their expression and survival patterns provided supportive cross-cancer evidence; and in the independent UTUC dataset, clinicopathological correlations were directionally consistent with the discovery findings. IHC suggested lower protein expression in UTUC compared with normal urothelium.

Conclusions: This integrative multi-omics cohort study suggests MSRB3 and SYNPO2 as candidate biomarkers for UTUC progression, offering insights for risk stratification and potential therapeutic development.

Keywords

cohort study / genetic network / multi-omics / upper tract urothelial carcinoma

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Tingting Fu, Banghua Liao, Yong Yang, Meilin Jiang, Yuedan Liu, Yixiao Zhang, Nanyan Xiang, Le Wang, Ga Liao, Yifei Lin, Jin Huang. Dissecting Genetic Mechanisms of UTUC: A Network-Based Multi-Omics Cohort Study. Journal of Evidence-Based Medicine, 2025, 18(4): e70093 DOI:10.1111/jebm.70093

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2025 Chinese Cochrane Center, West China Hospital of Sichuan University and John Wiley & Sons Australia, Ltd.

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