A Targetable EGFR-Dependent Tumor-Initiating Program in Breast Cancer

Posted By: shauna-10x, on Nov 8, 2017 at 1:29 PM
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The emergence of single-cell analysis technologies provides researchers  tools to investigate tumor heterogeneity on a cell-by-cell basis, enabling identification and characterization of clinically relevant cellular subpopulations that would have been masked by traditional bulk RNA-seq analysis. In a new Cell Reports article, Savage et al., utilized single-cell RNA-seq, in addition to other functional assays, to discover a stem-like tumorigenic population with EGFR-dependent tumor-initiating activity and sensitivity to EGFR-inhibition in triple-negative breast cancer (TNBC).

 

ABSTRACT

Therapies targeting epidermal growth factor receptor (EGFR) have variable and unpredictable responses in breast cancer. Screening triple-negative breast cancer (TNBC) patient-derived xenografts (PDXs), we identify a subset responsive to EGFR inhibition by gefitinib, which displays heterogeneous expression of wild-type EGFR. Deep single-cell RNA sequencing of 3,500 cells from an exceptional responder identified subpopulations displaying distinct biological features, where elevated EGFR expression was significantly enriched in a mesenchymal/stem-like cellular cluster. Sorted EGFRhi subpopulations exhibited enhanced stem-like features, including ALDH activity, sphere-forming efficiency, and tumorigenic and metastatic potential. EGFRhi cells gave rise to EGFRhi and EGFRlo cells in primary and metastatic tumors, demonstrating an EGFR-dependent expansion and hierarchical state transition. Similar tumorigenic EGFRhi subpopulations were identified in independent PDXs, where heterogeneous EGFR expression correlated with gefitinib sensitivity. This provides new understanding for an EGFR-dependent hierarchy in TNBC and for patient stratification for therapeutic intervention.

 

Read the full article in Cell Reports.

 

This study used the Chromium™ Single Cell 3’ Solution for gene expression analysis.  Learn more about our single-cell analysis solutions:

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