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Serum Metabolic Profiling Identified a Distinct Metabolic Signature in Bladder Cancer Smokers: A Key Metabolic Enzyme Associated with Patient Survival.
Amara, Chandra Sekhar; Ambati, Chandrashekar R; Vantaku, Venkatrao; Badrajee Piyarathna, Danthasinghe Waduge; Donepudi, Sri Ramya; Ravi, Shiva Shankar; Arnold, James M; Putluri, Vasanta; Chatta, Gurkamal; Guru, Khurshid A; Badr, Hoda; Terris, Martha K; Bollag, Roni J; Sreekumar, Arun; Apolo, Andrea B; Putluri, Nagireddy.
Afiliação
  • Amara CS; Department of Molecular and Cell Biology, Baylor College of Medicine, Houston, Texas.
  • Ambati CR; Dan L. Duncan Cancer Center, Advanced Technology Core, Alkek Center for Molecular Discovery, Baylor College of Medicine, Houston, Texas.
  • Vantaku V; Department of Molecular and Cell Biology, Baylor College of Medicine, Houston, Texas.
  • Badrajee Piyarathna DW; Department of Molecular and Cell Biology, Baylor College of Medicine, Houston, Texas.
  • Donepudi SR; Dan L. Duncan Cancer Center, Advanced Technology Core, Alkek Center for Molecular Discovery, Baylor College of Medicine, Houston, Texas.
  • Ravi SS; Department of Molecular and Cell Biology, Baylor College of Medicine, Houston, Texas.
  • Arnold JM; Verna and Marrs McLean Department of Biochemistry and Molecular Biology, Baylor College of Medicine, Houston, Texas.
  • Putluri V; Dan L. Duncan Cancer Center, Advanced Technology Core, Alkek Center for Molecular Discovery, Baylor College of Medicine, Houston, Texas.
  • Chatta G; Department of Medicine, Roswell Park Comprehensive Cancer Center, Buffalo, New York.
  • Guru KA; Department of Urology, Roswell Park Comprehensive Cancer Center, Buffalo, New York.
  • Badr H; Department of Medicine, Baylor College of Medicine, Houston, Texas.
  • Terris MK; Augusta University, Augusta, Georgia.
  • Bollag RJ; Augusta University, Augusta, Georgia.
  • Sreekumar A; Department of Molecular and Cell Biology, Baylor College of Medicine, Houston, Texas.
  • Apolo AB; Verna and Marrs McLean Department of Biochemistry and Molecular Biology, Baylor College of Medicine, Houston, Texas.
  • Putluri N; Center for Cancer Research, National Cancer Institute, Bethesda, Maryland. putluri@bcm.edu andrea.apolo@nih.gov.
Cancer Epidemiol Biomarkers Prev ; 28(4): 770-781, 2019 04.
Article em En | MEDLINE | ID: mdl-30642841
BACKGROUND: The current system to predict the outcome of smokers with bladder cancer is insufficient due to complex genomic and transcriptomic heterogeneities. This study aims to identify serum metabolite-associated genes related to survival in this population. METHODS: We performed LC/MS-based targeted metabolomic analysis for >300 metabolites in serum obtained from two independent cohorts of bladder cancer never smokers, smokers, healthy smokers, and healthy never smokers. A subset of differential metabolites was validated using Biocrates absoluteIDQ p180 Kit. Genes associated with differential metabolites were integrated with a publicly available cohort of The Cancer Genome Atlas (TCGA) to obtain an intersecting signature specific for bladder cancer smokers. RESULTS: Forty metabolites (FDR < 0.25) were identified to be differential between bladder cancer never smokers and smokers. Increased abundance of amino acids (tyrosine, phenylalanine, proline, serine, valine, isoleucine, glycine, and asparagine) and taurine were observed in bladder cancer smokers. Integration of differential metabolomic gene signature and transcriptomics data from TCGA cohort revealed an intersection of 17 genes that showed significant correlation with patient survival in bladder cancer smokers. Importantly, catechol-O-methyltransferase, iodotyrosine deiodinase, and tubulin tyrosine ligase showed a significant association with patient survival in publicly available bladder cancer smoker datasets and did not have any clinical association in never smokers. CONCLUSIONS: Serum metabolic profiling of bladder cancer smokers revealed dysregulated amino acid metabolism. It provides a distinct gene signature that shows a prognostic value in predicting bladder cancer smoker survival. IMPACT: Serum metabolic signature-derived genes act as a predictive tool for studying the bladder cancer progression in smokers.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Neoplasias da Bexiga Urinária / Fumar Cigarros Idioma: En Ano de publicação: 2019 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Neoplasias da Bexiga Urinária / Fumar Cigarros Idioma: En Ano de publicação: 2019 Tipo de documento: Article