Spatial transcriptomics in breast cancer reveals tumour microenvironment-driven drug responses and clonal therapeutic

María José Jiménez-Santos1, Santiago García-Martín1, Marcos Rubio-Fernández1,2

  • 1Bioinformatics Unit, Spanish National Cancer Research Centre (CNIO), Calle Melchor Fernández Almagro, 3, Madrid 28029, Spain.

NAR Cancer
|December 20, 2024
PubMed

Insights

Understanding intratumour heterogeneity (ITH) in breast cancer is key. Our study reveals drug sensitivity varies by location within tumors and their microenvironment, guiding precision oncology.

Area of Science:

  • Oncology
  • Genomics
  • Systems Biology

Background:

  • Breast cancer treatment relies on subtypes, but precision oncology faces challenges due to intratumour heterogeneity (ITH).
  • ITH, the presence of diverse malignant subpopulations with varying drug sensitivities within a single tumor, complicates treatment efficacy.
  • The tumor microenvironment's role in treatment response is increasingly recognized, complementing the traditional tumor-centric view.

Purpose of the Study:

  • To investigate the spatial distribution of drug sensitivity in breast cancer using spatial transcriptomics.
  • To explore the influence of tumor microenvironment and spatial location on therapeutic response.
  • To identify novel therapeutic targets and strategies for overcoming ITH.

Main Methods:

  • Analysis of spatial transcriptomics data from breast cancer patient samples.
  • Prediction of drug sensitivity across different tumor regions (core, interphase, microenvironment).
  • Identification of ligand-receptor interactions driving distinct therapeutic clusters and functional differences.

Main Results:

  • Observed diverse drug response patterns spatially, with a functional and sensitivity gradient from tumor core to periphery.
  • Identified distinct therapeutic clusters associated with specific biological functions and ligand-receptor interactions.
  • Found genetically identical subclones exhibiting differential drug responses based on their location within tumor ducts.

Conclusions:

  • Tumor location and microenvironment composition are critical factors in predicting breast cancer drug sensitivity.
  • Targeting ITH requires a comprehensive understanding of spatial biology and tumor-microenvironment interactions.
  • Findings offer insights for optimizing precision oncology strategies and improving breast cancer treatment outcomes.