Supplementary Table S6 from Multi-omics Integration Analysis Robustly Predicts High-Grade Patient Survival and Identifies CPT1B Effect on Fatty Acid Metabolism in Bladder Cancer
Year: 2023
Type: supplementary-materials
Abstract: Supplementary Table S6. Univariate and multivariate Cox proportional hazard regression models of the 27-gene signature using the Kim (A), Lindgren (B), Sjodahl (C), and TCGA (D) data sets. Univariate Cox proportional hazard regression analysis showed that a gene signature of top 50% was significantly associated with increased risk of death in Kim, Lindgren, and Sjodahl cohorts (hazard ratio (HR) above 1). In a multivariate model, after adjusted for other factors such as sex, age and tumor stage showed that the 27 gene signature of top 50% was associated with increased risk of death in TCGA, Kim, and Lindgren. Tumor stage was significantly associated with survival in all TCGA, Kim, Sjodahl and Lindgren cohorts, and age was significantly associated with survival in TCGA and Kim cohorts. Hazard ratios (HRs) derived from Cox proportional hazards models are expressed with 95% confidence intervals (CIs) and p-values. For all analyses, p-value <0.05 was considered clinically significant and was highlighted in green.
Authors: Venkatrao Vantaku, Jianrong Dong, Chandrashekar R. Ambati, Dimuthu Perera, Sri Ramya Donepudi, Chandra Sekhar Amara, Vasanta Putluri, Shiva Shankar Ravi, Matthew J. Robertson, Danthasinghe Waduge Badrajee Piyarathna, Mariana Villanueva, Friedrich-Carl von Rundstedt, Balasubramanyam Karanam, Leomar Y. Ballester, Martha K. Terris, Roni J. Bollag, Seth P. Lerner, Andrea B. Apolo, Hugo Villanueva, MinJae Lee, Andrew G. Sikora, Yair Lotan, Arun Sreekumar, Cristian Coarfa, Nagireddy Putluri
Language: English
Subfield: Surgery
Field: Medicine
Domain: Health Sciences
Open Access status: gold
OpenAlex ID: W4361932609