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Construction of a gene-metabolite-microbiome regulatory network reveals novel therapeutic targets in bladder cancer through multi-omics analysis
Abstract Background Bladder cancer (BLCA) is a prevalent malignancy with substantial consequences for patient health. This study aimed to elucidate the underlying mechanisms of BLCA through integrated multi-omics analysis. Methods Tumor and adjacent tissues from BLCA patients underwent transcriptomic, whole-exome sequencing, metabolomic, and intratumoral microbiome analyses. These data were integrated with public datasets to identify key genes, metabolites, and microorganisms.
Machine learning and experimental validation reveal MYH11 as a novel p
Zhiyong Tan,1– 3,* Xiaorong Chen,4,* Shi Fu,1– 3,* Yinglong Huang,1– 3,* Haihao Li,1– 3,* Chen Gong,1– 3 Dihao Lv,1– 3 Chadanfeng Yang,1– 3 Jiansong Wang,1– 3 Mingxia Ding,1– 3 Haifeng Wang1– 3 1Department of Urology, The Second Affiliated Hospital of Kunming Medical University, Kunming, Yunnan, People’s Republic of China; 2Urological Disease Clinical Medical Center of Yunnan Province, The Second Affiliated Hospital of Kunming Medical University, Kunming, Yunnan, People’s...
Integrating single-cell RNA-seq to identify fibroblast-based molecular subtypes for predicting prognosis and therapeutic response in bladder cancer
Background: Bladder cancer (BLCA) is a highly aggressive and heterogeneous disease, posing challenges for diagnosis and treatment. Cancer immunotherapy has recently emerged as a promising option for patients with advanced and drug-resistant cancers. Fibroblasts, a significant component of the tumor microenvironment, play a crucial role in tumor progression, but their precise function in BLCA remains uncertain.
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