Genomic correlates of response to immune checkpoint therapies in clear cell renal cell carcinoma. Academic Article uri icon

Overview

abstract

  • Immune checkpoint inhibitors targeting the programmed cell death 1 receptor (PD-1) improve survival in a subset of patients with clear cell renal cell carcinoma (ccRCC). To identify genomic alterations in ccRCC that correlate with response to anti-PD-1 monotherapy, we performed whole-exome sequencing of metastatic ccRCC from 35 patients. We found that clinical benefit was associated with loss-of-function mutations in the PBRM1 gene (P = 0.012), which encodes a subunit of the PBAF switch-sucrose nonfermentable (SWI/SNF) chromatin remodeling complex. We confirmed this finding in an independent validation cohort of 63 ccRCC patients treated with PD-1 or PD-L1 (PD-1 ligand) blockade therapy alone or in combination with anti-CTLA-4 (cytotoxic T lymphocyte-associated protein 4) therapies (P = 0.0071). Gene-expression analysis of PBAF-deficient ccRCC cell lines and PBRM1-deficient tumors revealed altered transcriptional output in JAK-STAT (Janus kinase-signal transducers and activators of transcription), hypoxia, and immune signaling pathways. PBRM1 loss in ccRCC may alter global tumor-cell expression profiles to influence responsiveness to immune checkpoint therapy.

authors

  • Miao, Diana
  • Margolis, Claire A
  • Gao, Wenhua
  • Voss, Martin
  • Li, Wei
  • Martini, Dylan J
  • Norton, Craig
  • Bossé, Dominick
  • Wankowicz, Stephanie M
  • Cullen, Dana
  • Horak, Christine
  • Wind-Rotolo, Megan
  • Tracy, Adam
  • Giannakis, Marios
  • Hodi, Frank Stephen
  • Drake, Charles G
  • Ball, Mark W
  • Allaf, Mohamad E
  • Snyder, Alexandra
  • Hellmann, Matthew
  • Ho, Thai
  • Motzer, Robert John
  • Signoretti, Sabina
  • Kaelin, William G
  • Choueiri, Toni K
  • Van Allen, Eliezer M

publication date

  • January 4, 2018

Research

keywords

  • B7-H1 Antigen
  • Carcinoma, Renal Cell
  • Immunotherapy
  • Kidney Neoplasms
  • Programmed Cell Death 1 Receptor

Identity

PubMed Central ID

  • PMC6035749

Scopus Document Identifier

  • 85040072272

Digital Object Identifier (DOI)

  • 10.1093/biostatistics/kxj037

PubMed ID

  • 29301960

Additional Document Info

volume

  • 359

issue

  • 6377