Single-cell dissection of tumor microenvironmental response and resistance to cancer therapy

Yikai Luo1, Han Liang2

  • 1Graduate Program in Quantitative and Computational Biosciences, Baylor College of Medicine, Houston, TX 77030, USA; Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.

Trends in Genetics : TIG
|September 1, 2023
PubMed

Insights

Cancer therapies like chemotherapy and immunotherapy reshape the tumor microenvironment (TME). Single-cell technologies reveal how these treatments impact TME heterogeneity, guiding personalized cancer care.

Area of Science:

  • Oncology
  • Immunology
  • Genomics

Background:

  • Cancer treatment modalities include chemotherapy, targeted therapy, and immunotherapy.
  • The tumor microenvironment (TME) significantly influences cancer progression and treatment response.
  • Understanding TME dynamics is crucial for effective cancer therapy.

Purpose of the Study:

  • To review how various cancer therapies alter the tumor microenvironment.
  • To explore the impact of single-cell profiling on understanding TME heterogeneity.
  • To highlight the role of immune checkpoint blockade (ICB) in modulating the TME.

Main Methods:

  • Literature review of cancer therapy mechanisms and TME interactions.
  • Analysis of studies utilizing single-cell profiling technologies.
  • Synthesis of data on TME modulation by different treatment strategies.

Main Results:

  • Cancer therapies induce distinct changes in the TME, influencing treatment outcomes.
  • Single-cell technologies provide high-resolution insights into TME complexity.
  • Immune checkpoint blockade (ICB) strategies demonstrate significant TME remodeling capabilities.

Conclusions:

  • Deciphering TME alterations at the single-cell level is key to understanding treatment efficacy.
  • This knowledge can drive the development of more personalized and effective cancer treatments.
  • Future research should focus on leveraging single-cell data for tailored therapeutic interventions.