Cancers (Mar 2021)

Clinical Features and Multiplatform Molecular Analysis Assist in Understanding Patient Response to Anti-PD-1/PD-L1 in Renal Cell Carcinoma

  • Eileen Shiuan,
  • Anupama Reddy,
  • Stephanie O. Dudzinski,
  • Aaron R. Lim,
  • Ayaka Sugiura,
  • Rachel Hongo,
  • Kirsten Young,
  • Xian-De Liu,
  • Christof C. Smith,
  • Jamye O’Neal,
  • Kimberly B. Dahlman,
  • Renee McAlister,
  • Beiru Chen,
  • Kristen Ruma,
  • Nathan Roscoe,
  • Jehovana Bender,
  • Joolz Ward,
  • Ju Young Kim,
  • Christine Vaupel,
  • Jennifer Bordeaux,
  • Shridar Ganesan,
  • Tina M. Mayer,
  • Gregory M. Riedlinger,
  • Benjamin G. Vincent,
  • Nancy B. Davis,
  • Scott M. Haake,
  • Jeffrey C. Rathmell,
  • Eric Jonasch,
  • Brian I. Rini,
  • W. Kimryn Rathmell,
  • Kathryn E. Beckermann

DOI
https://doi.org/10.3390/cancers13061475
Journal volume & issue
Vol. 13, no. 6
p. 1475

Abstract

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Predicting response to ICI therapy among patients with renal cell carcinoma (RCC) has been uniquely challenging. We analyzed patient characteristics and clinical correlates from a retrospective single-site cohort of advanced RCC patients receiving anti-PD-1/PD-L1 monotherapy (N = 97), as well as molecular parameters in a subset of patients, including multiplexed immunofluorescence (mIF), whole exome sequencing (WES), T cell receptor (TCR) sequencing, and RNA sequencing (RNA-seq). Clinical factors such as the development of immune-related adverse events (odds ratio (OR) = 2.50, 95% confidence interval (CI) = 1.05–5.91) and immunological prognostic parameters, including a higher percentage of circulating lymphocytes (23.4% vs. 17.4%, p = 0.0015) and a lower percentage of circulating neutrophils (61.8% vs. 68.5%, p = 0.0045), correlated with response. Previously identified gene expression signatures representing pathways of angiogenesis, myeloid inflammation, T effector presence, and clear cell signatures also correlated with response. High PD-L1 expression (>10% cells) as well as low TCR diversity (≤644 clonotypes) were associated with improved progression-free survival (PFS). We corroborate previously published findings and provide preliminary evidence of T cell clonality impacting the outcome of RCC patients. To further biomarker development in RCC, future studies will benefit from integrated analysis of multiple molecular platforms and prospective validation.

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