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Research on molecular characteristics of ADME-related genes in kidney renal clear cell carcinoma.
Zhang, Haiyu; Huang, Weisheng; Chen, Mutong; Liu, Yuhan; Yan, Bing; Mou, Shuanzhu; Jiang, Wendong; Mei, Hongbing.
Affiliation
  • Zhang H; Department of Urology, The First Affiliated Hospital of Shenzhen University, Shenzhen Second People's Hospital, Shenzhen, China.
  • Huang W; Department of Urology, Shantou University Medical College, Shantou, China.
  • Chen M; Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China.
  • Liu Y; Shenzhen Institute of Synthetic Biology, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China.
  • Yan B; Department of Urology, The First Affiliated Hospital of Shenzhen University, Shenzhen Second People's Hospital, Shenzhen, China.
  • Mou S; Department of Urology, Shantou University Medical College, Shantou, China.
  • Jiang W; Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China.
  • Mei H; Shenzhen Institute of Synthetic Biology, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China.
Sci Rep ; 14(1): 16834, 2024 07 22.
Article in En | MEDLINE | ID: mdl-39039118
ABSTRACT
Genes involved in drug absorption, distribution, metabolism, and excretion (ADME) are named ADME genes. However, the comprehensive role of ADME genes in kidney renal clear cell carcinoma (KIRC) remains unclear. Using the clinical and gene expression data of KIRC patients downloaded from The Cancer Genome Atlas (TCGA), ArrayExpress, and the Gene Expression Omnibus (GEO) databases, we cluster patients into two patterns, and the population with a relatively poor prognosis demonstrated higher level of immunosuppressive cell infiltration and higher proportion of glycolytic subtypes. Then, 17 ADME genes combination identified through the least absolute shrinkage and selection operator algorithm (LASSO, 1000 times) was utilized to calculate the ADME score. The ADME score was found to be an independent predictor of prognosis in KIRC and to be tightly associated with the infiltration level of immune cells, metabolic properties, tumor-related signaling pathways, genetic variation, and responses to chemotherapeutics. Our work revealed the characteristics of ADME in KIRC. Assessing the ADME profiles of individual patients can deepen our comprehension of tumor microenvironment (TME) features in KIRC and can aid in developing more personalized and effective therapeutic strategies.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Carcinoma, Renal Cell / Gene Expression Regulation, Neoplastic / Tumor Microenvironment / Kidney Neoplasms Limits: Female / Humans / Male Language: En Journal: Sci Rep Year: 2024 Document type: Article Affiliation country: China Country of publication: Reino Unido

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Carcinoma, Renal Cell / Gene Expression Regulation, Neoplastic / Tumor Microenvironment / Kidney Neoplasms Limits: Female / Humans / Male Language: En Journal: Sci Rep Year: 2024 Document type: Article Affiliation country: China Country of publication: Reino Unido