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Updated: Aug 29, 2025

Multidimensional Coculture System to Model Lung Squamous Carcinoma Progression
Published on: March 17, 2020
Cancer genome and tumor microenvironment: Reciprocal crosstalk shapes lung cancer plasticity
Siavash Mansouri1,2, Daniel Heylmann3, Thorsten Stiewe2,4,5,6
1Max Planck Institute for Heart and Lung Research, Bad Nauheim, Germany.
Abstract:
Lung cancer classification and treatment has been revolutionized by improving our understanding of driver mutations and the introduction of tumor microenvironment (TME)-associated immune checkpoint inhibitors. Despite the significant improvement of lung cancer patient survival in response to either oncogene-targeted therapy or anticancer immunotherapy, many patients show initial or acquired resistance to these new therapies. Recent advances in genome sequencing reveal that specific driver mutations favor the development of an immunosuppressive TME phenotype, which may result in unfavorable outcomes in lung cancer patients receiving immunotherapies. Clinical studies with follow-up after immunotherapy, assessing oncogenic driver mutations and the TME immune profile, not only reveal the underlying potential molecular mechanisms in the resistant lung cancer patients but also hold the key to better treatment choices and the future of personalized medicine. In this review, we discuss the crosstalk between cancer cell genomic features and the TME to reveal the impact of genetic alterations on the TME phenotype. We also provide insights into the regulatory role of cellular TME components in defining the genetic landscape of cancer cells during tumor development.
Insights
Understanding lung cancer driver mutations and the tumor microenvironment (TME) is key. This review explores how genetic changes impact the TME, influencing resistance to targeted therapies and immunotherapies for personalized lung cancer treatment.
Area of Science:
- Oncology
- Genomics
- Immunology
Background:
- Lung cancer treatment advanced with targeted therapies and immunotherapies.
- Resistance to these treatments remains a significant clinical challenge.
- Tumor microenvironment (TME) and driver mutations influence treatment response.
Purpose of the Study:
- To review the interplay between cancer cell genomic features and the TME.
- To elucidate how genetic alterations shape the TME phenotype.
- To understand the TME's role in shaping the cancer cell genetic landscape.
Main Methods:
- Literature review of genomic sequencing and clinical studies.
- Analysis of the relationship between driver mutations and TME immune profiles.
- Exploration of molecular mechanisms underlying treatment resistance.
Main Results:
- Specific driver mutations can promote an immunosuppressive TME.
- This immunosuppressive TME is associated with poor outcomes in immunotherapy.
- Genetic alterations impact TME phenotype and vice versa.
Conclusions:
- Crosstalk between cancer genomics and TME is crucial for lung cancer progression.
- Understanding this interaction is vital for overcoming resistance.
- Personalized medicine strategies can be developed based on these insights.
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