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Immunometabolic coevolution defines unique microenvironmental niches in ccRCC.
Tang, Cerise; Xie, Amy X; Liu, Eric Minwei; Kuo, Fengshen; Kim, Minsoo; DiNatale, Renzo G; Golkaram, Mahdi; Chen, Ying-Bei; Gupta, Sounak; Motzer, Robert J; Russo, Paul; Coleman, Jonathan; Carlo, Maria I; Voss, Martin H; Kotecha, Ritesh R; Lee, Chung-Han; Tansey, Wesley; Schultz, Nikolaus; Hakimi, A Ari; Reznik, Ed.
Afiliación
  • Tang C; Computational Oncology, Memorial Sloan Kettering Cancer Center, New York, NY, USA; Physiology, Biophysics and Systems Biology Graduate Program, Weill Cornell Medicine, New York, NY, USA.
  • Xie AX; Computational Oncology, Memorial Sloan Kettering Cancer Center, New York, NY, USA; Biochemistry, Structural Biology, Cell Biology, Developmental Biology and Molecular Biology Graduate Program, Weill Cornell Medicine, New York, NY, USA.
  • Liu EM; Computational Oncology, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
  • Kuo F; Urology Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA.
  • Kim M; Computational Oncology, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
  • DiNatale RG; Computational Oncology, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
  • Golkaram M; Illumina, Inc., 5200 Illumina Way, San Diego, CA 92122, USA.
  • Chen YB; Department of Pathology, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
  • Gupta S; Department of Pathology, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
  • Motzer RJ; Genitourinary Oncology Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
  • Russo P; Urology Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA.
  • Coleman J; Urology Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA.
  • Carlo MI; Genitourinary Oncology Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
  • Voss MH; Genitourinary Oncology Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
  • Kotecha RR; Genitourinary Oncology Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
  • Lee CH; Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA.
  • Tansey W; Computational Oncology, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
  • Schultz N; Computational Oncology, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
  • Hakimi AA; Urology Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA; Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA. Electronic address: hakimia@mskcc.org.
  • Reznik E; Computational Oncology, Memorial Sloan Kettering Cancer Center, New York, NY, USA; Marie-Josée and Henry R. Kravis Center for Molecular Oncology, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA. Electronic address: reznike@mskcc.org.
Cell Metab ; 35(8): 1424-1440.e5, 2023 08 08.
Article en En | MEDLINE | ID: mdl-37413991
ABSTRACT
Tumor cell phenotypes and anti-tumor immune responses are shaped by local metabolite availability, but intratumoral metabolite heterogeneity (IMH) and its phenotypic consequences remain poorly understood. To study IMH, we profiled tumor/normal regions from clear cell renal cell carcinoma (ccRCC) patients. A common pattern of IMH transcended all patients, characterized by correlated fluctuations in the abundance of metabolites and processes associated with ferroptosis. Analysis of intratumoral metabolite-RNA covariation revealed that the immune composition of the microenvironment, especially the abundance of myeloid cells, drove intratumoral metabolite variation. Motivated by the strength of RNA-metabolite covariation and the clinical significance of RNA biomarkers in ccRCC, we inferred metabolomic profiles from the RNA sequencing data of ccRCC patients enrolled in 7 clinical trials, and we ultimately identifyied metabolite biomarkers associated with response to anti-angiogenic agents. Local metabolic phenotypes, therefore, emerge in tandem with the immune microenvironment, influence ongoing tumor evolution, and are associated with therapeutic sensitivity.
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Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Carcinoma / Carcinoma de Células Renales / Neoplasias Renales Límite: Humans Idioma: En Revista: Cell Metab Asunto de la revista: METABOLISMO Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Carcinoma / Carcinoma de Células Renales / Neoplasias Renales Límite: Humans Idioma: En Revista: Cell Metab Asunto de la revista: METABOLISMO Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos