Deconvolution of cell type-specific drug responses in human tumor tissue with single-cell RNA-seq

Wenting Zhao1, Athanassios Dovas2, Eleonora Francesca Spinazzi3

  • 1Department of Systems Biology, Columbia University Irving Medical Center, New York, NY, 10032, USA.

Genome Medicine
|May 12, 2021
PubMed
Abstract

Insights

This study introduces a novel method using patient tumor slices and single-cell RNA sequencing (scRNA-seq) to screen drug responses in individual tumors. The approach reveals cell type-specific drug sensitivities, aiding in overcoming tumor heterogeneity.

Area of Science:

  • Oncology
  • Translational Research
  • Genomics

Background:

  • Preclinical cancer research needs models reflecting tumor cellular diversity and drug sensitivities.
  • Current models struggle to capture intratumoral heterogeneity and enable rapid, cell-specific drug screening.
  • A platform is needed to test drug efficacy directly on patient tumor tissue.

Purpose of the Study:

  • To develop and validate a method for profiling transcriptome-wide drug responses in individual patient tumors.
  • To enable cell type-specific drug sensitivity analysis in acute tumor slice cultures.
  • To identify conserved and patient-specific drug responses in glioblastoma (GBM).

Main Methods:

  • Combined multiplexed drug perturbation in acute tumor slice cultures with single-cell RNA sequencing (scRNA-seq).
  • Applied the method to six glioblastoma (GBM) resections for conserved responses and one for patient-specific responses.
  • Analyzed transcriptome-wide drug responses at the single-cell level.

Main Results:

  • Acute slice cultures accurately recapitulate the cellular and molecular features of the originating tumor tissue.
  • Demonstrated feasibility of drug screening from individual patient tumors using this approach.
  • Identified cell type-specific responses to etoposide and panobinostat, including unexpected effects on the tumor microenvironment.

Conclusions:

  • Acute slice cultures combined with scRNA-seq provide a powerful tool for cell type-specific drug sensitivity analysis in individual tumors.
  • This approach effectively models glioblastoma (GBM) cellular and molecular heterogeneity at the single-cell level.
  • The method is anticipated to accelerate preclinical studies for identifying effective solid tumor therapies.

Related Concept Videos