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Updated: Jul 17, 2025

Monitoring Cancer Cell Invasion and T-Cell Cytotoxicity in 3D Culture
Published on: June 23, 2020
Single-cell dissection of tumor microenvironmental response and resistance to cancer therapy
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.
Abstract:
Cancer treatment strategies have evolved significantly over the years, with chemotherapy, targeted therapy, and immunotherapy as major pillars. Each modality leads to unique treatment outcomes by interacting with the tumor microenvironment (TME), which imposes a fundamental selective pressure on cancer progression. The advent of single-cell profiling technologies has revolutionized our understanding of the intricate and heterogeneous nature of the TME at an unprecedented resolution. This review delves into the commonalities and differential manifestations of how cancer therapies reshape the microenvironment in diverse cancer types. We highlight how groundbreaking immune checkpoint blockade (ICB) strategies alone or in combination with tumor-targeting treatments are endowed with comprehensive mechanistic insights when decoded at the single-cell level, aiming to drive forward future research directions on personalized treatments.
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.

