Fatty acid metabolism-related molecular subtypes and a novel model for predicting prognosis in bladder cancer patients

This study aims to develop fatty acid metabolism-related molecular subtypes and construct a fatty acid metabolism-related novel model for bladder cancer (BCa) by bioinformatic profiling. Genome RNA-seq expression data of BCa samples from the TCGA database and GEO database were downloaded. We then co...

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Veröffentlicht in:	Journal of biosciences 2024-03, Vol.49 (1), p.11-11, Article 11
Hauptverfasser:	Su, Wen-Ting, Chen, Jia-Yin, Sun, Jiang-Bo, Huang, Qi, Ke, Zhi-Bin, Chen, Shao-Hao, Lin, Yun-Zhi, Xue, Xue-Yi, Wei, Yong, Xu, Ning
Format:	Artikel
Sprache:	eng
Schlagworte:	bioinformatics Biomedical and Life Sciences Biomedicine Bladder Bladder cancer Cancer Cell Biology Cluster analysis Clustering Cohorts Fatty acids Gene expression genes Genomes Life Sciences males Medical prognosis Metabolism Microbiology Microenvironments Nucleotide sequence PCR PD-L1 protein Plant Sciences prediction prognosis Regression analysis sequence analysis Survival Training Tumor microenvironment urinary bladder neoplasms Zoology
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