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Dissecting Genetic Mechanisms of UTUC: A Network-Based Multi-Omics Cohort Study
Tingting Fu1,2, Banghua Liao3, Yong Yang3
1Department of Urology, Lab of Health Data Science, Innovation Institute for Integration of Medicine and Engineering, Frontiers Science Center for Disease-Related Molecular Network, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
This study identifies MSRB3 and SYNPO2 as potential biomarkers for upper tract urothelial carcinoma (UTUC) progression. These genes offer insights for improved risk stratification and therapeutic development in UTUC patients.
Area of Science:
- Oncology
- Genomics
- Molecular Biology
Background:
- Upper tract urothelial carcinoma (UTUC) represents a significant proportion of urothelial malignancies in China, with limited molecular understanding impacting diagnosis and treatment.
- The higher incidence in China compared to Western countries necessitates further investigation into UTUC's molecular underpinnings.
Purpose of the Study:
- To explore molecular mechanisms driving UTUC.
- To identify potential diagnostic and therapeutic biomarkers for UTUC through integrative multi-omics analysis.
- To enhance understanding of UTUC's molecular landscape for improved patient outcomes.
Main Methods:
- Analysis of 48 paired UTUC tumor and adjacent normal tissues using RNA and whole-exome sequencing.
- Weighted gene co-expression network analysis (WGCNA) to identify key modules and hub genes associated with pathological traits.
- Validation through survival analysis, cross-cancer evaluation (TCGA-BLCA), independent cohort confirmation, and immunohistochemistry (IHC).
Main Results:
- Identification of 3968 differentially expressed genes involved in genitourinary development and calcium signaling.
- WGCNA highlighted four co-expression modules linked to infiltration, with 64 genes associated with pathological traits.
- Methionine sulfoxide reductase B3 (MSRB3) and Synaptopodin 2 (SYNPO2) were prioritized as hub genes, showing trends toward poorer survival and reduced protein expression in UTUC.
Conclusions:
- Integrative multi-omics analysis suggests MSRB3 and SYNPO2 as candidate biomarkers for UTUC progression.
- These findings provide valuable insights for risk stratification strategies in UTUC.
- The study supports the potential for MSRB3 and SYNPO2 in the development of novel therapeutic approaches for UTUC.

