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Pan-cancer analysis of longitudinal metastatic tumors reveals genomic alterations and immune landscape dynamics associated with pembrolizumab sensitivity

Author

Listed:
  • S. Y. Cindy Yang

    (University of Toronto)

  • Scott C. Lien

    (University of Toronto)

  • Ben X. Wang

    (University Health Network)

  • Derek L. Clouthier

    (University Health Network)

  • Youstina Hanna

    (University Health Network)

  • Iulia Cirlan

    (University Health Network)

  • Kelsey Zhu

    (University Health Network)

  • Jeffrey P. Bruce

    (University Health Network)

  • Samah El Ghamrasni

    (University Health Network)

  • Marco A. J. Iafolla

    (University Health Network
    University of Toronto)

  • Marc Oliva

    (University Health Network
    University of Toronto)

  • Aaron R. Hansen

    (University Health Network
    University of Toronto)

  • Anna Spreafico

    (University Health Network
    University of Toronto)

  • Philippe L. Bedard

    (University Health Network
    University of Toronto)

  • Stephanie Lheureux

    (University Health Network
    University of Toronto)

  • Albiruni Razak

    (University Health Network
    University of Toronto)

  • Vanessa Speers

    (University Health Network)

  • Hal K. Berman

    (University Health Network)

  • Alexey Aleshin

    (Natera, Inc.)

  • Benjamin Haibe-Kains

    (University of Toronto
    University Health Network
    Ontario Institute for Cancer Research
    University of Toronto)

  • David G. Brooks

    (University of Toronto
    University Health Network)

  • Tracy L. McGaha

    (University of Toronto
    University Health Network)

  • Marcus O. Butler

    (University of Toronto
    University Health Network
    University of Toronto)

  • Scott V. Bratman

    (University of Toronto
    University Health Network
    University of Toronto)

  • Pamela S. Ohashi

    (University of Toronto
    University Health Network)

  • Lillian L. Siu

    (University Health Network
    University of Toronto)

  • Trevor J. Pugh

    (University of Toronto
    University Health Network
    Ontario Institute for Cancer Research)

Abstract

Serial circulating tumor DNA (ctDNA) monitoring is emerging as a non-invasive strategy to predict and monitor immune checkpoint blockade (ICB) therapeutic efficacy across cancer types. Yet, limited data exist to show the relationship between ctDNA dynamics and tumor genome and immune microenvironment in patients receiving ICB. Here, we present an in-depth analysis of clinical, whole-exome, transcriptome, and ctDNA profiles of 73 patients with advanced solid tumors, across 30 cancer types, from a phase II basket clinical trial of pembrolizumab (NCT02644369) and report changes in genomic and immune landscapes (primary outcomes). Patients stratified by ctDNA and tumor burden dynamics correspond with survival and clinical benefit. High mutation burden, high expression of immune signatures, and mutations in BRCA2 are associated with pembrolizumab molecular sensitivity, while abundant copy-number alterations and B2M loss-of-heterozygosity corresponded with resistance. Upon treatment, induction of genes expressed by T cell, B cell, and myeloid cell populations are consistent with sensitivity and resistance. We identified the upregulated expression of PLA2G2D, an immune-regulating phospholipase, as a potential biomarker of adaptive resistance to ICB. Together, these findings provide insights into the diversity of immunogenomic mechanisms that underpin pembrolizumab outcomes.

Suggested Citation

  • S. Y. Cindy Yang & Scott C. Lien & Ben X. Wang & Derek L. Clouthier & Youstina Hanna & Iulia Cirlan & Kelsey Zhu & Jeffrey P. Bruce & Samah El Ghamrasni & Marco A. J. Iafolla & Marc Oliva & Aaron R. H, 2021. "Pan-cancer analysis of longitudinal metastatic tumors reveals genomic alterations and immune landscape dynamics associated with pembrolizumab sensitivity," Nature Communications, Nature, vol. 12(1), pages 1-15, December.
  • Handle: RePEc:nat:natcom:v:12:y:2021:i:1:d:10.1038_s41467-021-25432-7
    DOI: 10.1038/s41467-021-25432-7
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    Cited by:

    1. Brian S. White & Aurélien Reyniès & Aaron M. Newman & Joshua J. Waterfall & Andrew Lamb & Florent Petitprez & Yating Lin & Rongshan Yu & Martin E. Guerrero-Gimenez & Sergii Domanskyi & Gianni Monaco &, 2024. "Community assessment of methods to deconvolve cellular composition from bulk gene expression," Nature Communications, Nature, vol. 15(1), pages 1-22, December.

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