Article

Integrated multi-omics analysis reveals key genetic, metabolic, and microbial drivers in bladder cancer insights into molecular subtyping and therapeutic approaches: A tumor marker prognostic study

2025-01-28

Abstract excerpt

<title>Abstract</title> <p><bold>Background: </bold>Bladder cancer (BLCA) is a common malignancy with significant impact on patient health. The aim of this study was to explore the potential mechanisms of BLCA through a combination of multi-omics and single-cell analyses. <bold>Methods: </bold>In this study, samples from BLCA and paracancerous tissues were collected for transcriptome, whole-exome sequencing, meta...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 7855d316-7bf0-5d08-a2e7-cf90a6e90334
DOI: 10.21203/rs.3.rs-5898970/v1

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Integrated multi-omics analysis reveals key genetic, metabolic, and microbial drivers in bladder cancer insights into molecular subtyping and therapeutic approaches: A tumor marker prognostic studyDOI 10.21203/rs.3.rs-5898970/v1Read

Analyzing the Impact of Sphingolipid Metabolism Genes on bladder cancer Progression and Microenvironment for the Development of a Prognostic SignatureSemantic proximity Read

Single-Cell Transcriptome Comparison of Bladder Cancer Reveals Its EcosystemSemantic proximity Read

Integrated spatial transcriptome and metabolism study reveals metabolic heterogeneity in human bladder cancerSemantic proximity Read

Machine Learning and Experimental Validation Reveal MYH11 as a Novel Prognostic Biomarker and Therapeutic Target in Bladder CancerSemantic proximity Read

Single-cell and bulk RNA-sequence identiﬁed ﬁbroblasts signature and CD8 + T-cell - ﬁbroblast subtype predicting prognosis and immune therapeutic response of bladder cancer, based on machine learning: bioinformatics multi-omics studySemantic proximity Read

Unmasking molecular profiles of bladder cancer.Semantic proximity Read

Metabolomic Approaches for Detection and Identification of Biomarkers and Altered Pathways in Bladder CancerSemantic proximity Read

Bladder cancer is associated with increased risk of systemic inflammatory complications: evidence from a propensity score-matched cohort study and transcriptomic analysisSemantic proximity Read

Prognosis analysis and validation of lipid metabolism-associated lncRNAs and tumor immune microenvironment in bladder cancerSemantic proximity Read

Metabolic‐associated signature and hub genes associated with immune microenvironment and prognosis in bladder cancerSemantic proximity Read

Integrated analysis of single-cell and bulk RNA sequencing predicts prognosis and therapeutic response using malignant epithelial cells marker genes in bladder cancerSemantic proximity Read

Multi-Omics Analysis Identifies the Heterogeneity and Prognosis in Bladder CancerSemantic proximity Read