Clonal tracing reveals diverse patterns of response to immune checkpoint blockade

Shengqing Stan Gu1,2,3, Xiaoqing Wang3,4,5, Xihao Hu1,2,3

  • 1Department of Data Science, Dana-Farber Cancer Institute, Boston, MA, 02215, USA.

Genome Biology
|October 16, 2020
PubMed
Abstract

Insights

Tumors from the same origin show varied responses to immune checkpoint blockade (ICB) therapy. This heterogeneity highlights the need to monitor cancer clones and tumor microenvironments for better treatment strategies.

Area of Science:

  • Immunotherapy
  • Cancer Biology
  • Genomics

Background:

  • Immune checkpoint blockade (ICB) therapy offers survival benefits for cancer patients, but response rates remain limited.
  • Identifying biomarkers for ICB response and understanding resistance mechanisms in individual tumors is crucial.
  • This study investigates whether tumors with identical genetic origins display consistent or varied responses to ICB.

Purpose of the Study:

  • To determine the heterogeneity of ICB response in tumors originating from the same clonal populations.
  • To identify molecular and cellular drivers of ICB resistance.
  • To correlate findings with clinical data from ICB treatment cohorts.

Main Methods:

  • Development of a unique mouse model for clonal tracing and mathematical modeling of tumor growth.
  • Monitoring of individual cancer clones and bulk tumor response to ICB.
  • Analysis of gene expression signatures associated with ICB resistance.

Main Results:

  • Tumors from the same clonal origin exhibited heterogeneous responses and diverse patterns to ICB.
  • Initial response to ICB was linked to increased immune infiltration and enrichment of pre-existing resistant clones.
  • Cancer cell-intrinsic gene expression signatures, including interferon and glucocorticoid response genes, were associated with ICB resistance.

Conclusions:

  • The study reveals diverse ICB response patterns even from identical ancestral cancer cells.
  • Monitoring clonal evolution and tumor microenvironment dynamics is vital for optimizing ICB therapy and developing combination treatments.
  • ICB treatment may enrich for intrinsic resistance signatures, impacting the interpretation of RNA-sequencing data in response-association studies.

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