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Single-cell analyses of renal cell cancers reveal insights into tumor microenvironment, cell of origin, and therapy response.
Zhang, Yuping; Narayanan, Sathiya P; Mannan, Rahul; Raskind, Gregory; Wang, Xiaoming; Vats, Pankaj; Su, Fengyun; Hosseini, Noshad; Cao, Xuhong; Kumar-Sinha, Chandan; Ellison, Stephanie J; Giordano, Thomas J; Morgan, Todd M; Pitchiaya, Sethuramasundaram; Alva, Ajjai; Mehra, Rohit; Cieslik, Marcin; Dhanasekaran, Saravana M; Chinnaiyan, Arul M.
Afiliação
  • Zhang Y; Michigan Center for Translational Pathology, University of Michigan, Ann Arbor, MI 48109.
  • Narayanan SP; Michigan Center for Translational Pathology, University of Michigan, Ann Arbor, MI 48109.
  • Mannan R; Michigan Center for Translational Pathology, University of Michigan, Ann Arbor, MI 48109.
  • Raskind G; Michigan Center for Translational Pathology, University of Michigan, Ann Arbor, MI 48109.
  • Wang X; Michigan Center for Translational Pathology, University of Michigan, Ann Arbor, MI 48109.
  • Vats P; Michigan Center for Translational Pathology, University of Michigan, Ann Arbor, MI 48109.
  • Su F; Michigan Center for Translational Pathology, University of Michigan, Ann Arbor, MI 48109.
  • Hosseini N; Michigan Center for Translational Pathology, University of Michigan, Ann Arbor, MI 48109.
  • Cao X; Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI 48109.
  • Kumar-Sinha C; Michigan Center for Translational Pathology, University of Michigan, Ann Arbor, MI 48109.
  • Ellison SJ; Department of Pathology, University of Michigan, Ann Arbor, MI 48109.
  • Giordano TJ; HHMI, University of Michigan, Ann Arbor, MI 48109.
  • Morgan TM; Michigan Center for Translational Pathology, University of Michigan, Ann Arbor, MI 48109.
  • Pitchiaya S; Department of Pathology, University of Michigan, Ann Arbor, MI 48109.
  • Alva A; Michigan Center for Translational Pathology, University of Michigan, Ann Arbor, MI 48109.
  • Mehra R; Department of Pathology, University of Michigan, Ann Arbor, MI 48109.
  • Cieslik M; Michigan Center for Translational Pathology, University of Michigan, Ann Arbor, MI 48109.
  • Dhanasekaran SM; Department of Urology, University of Michigan, Ann Arbor, MI 48109.
  • Chinnaiyan AM; Rogel Cancer Center, University of Michigan, Ann Arbor, MI 48109.
Proc Natl Acad Sci U S A ; 118(24)2021 06 15.
Article em En | MEDLINE | ID: mdl-34099557
ABSTRACT
Diverse subtypes of renal cell carcinomas (RCCs) display a wide spectrum of histomorphologies, proteogenomic alterations, immune cell infiltration patterns, and clinical behavior. Delineating the cells of origin for different RCC subtypes will provide mechanistic insights into their diverse pathobiology. Here, we employed single-cell RNA sequencing (scRNA-seq) to develop benign and malignant renal cell atlases. Using a random forest model trained on this cell atlas, we predicted the putative cell of origin for more than 10 RCC subtypes. scRNA-seq also revealed several attributes of the tumor microenvironment in the most common subtype of kidney cancer, clear cell RCC (ccRCC). We elucidated an active role for tumor epithelia in promoting immune cell infiltration, potentially explaining why ccRCC responds to immune checkpoint inhibitors, despite having a low neoantigen burden. In addition, we characterized an association between high endothelial cell types and lack of response to immunotherapy in ccRCC. Taken together, these single-cell analyses of benign kidney and RCC provide insight into the putative cell of origin for RCC subtypes and highlight the important role of the tumor microenvironment in influencing ccRCC biology and response to therapy.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Carcinoma de Células Renais / Análise de Célula Única / Neoplasias Renais Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Revista: Proc Natl Acad Sci U S A Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Carcinoma de Células Renais / Análise de Célula Única / Neoplasias Renais Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Revista: Proc Natl Acad Sci U S A Ano de publicação: 2021 Tipo de documento: Article