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Updated: Mar 26, 2026

The Establishment of a Lung Colonization Assay for Circulating Tumor Cell Visualization in Lung Tissues
Published on: June 16, 2018
Epithelial-Mesenchymal Transition Is Associated with a Distinct Tumor Microenvironment Including Elevation of
Yanyan Lou1, Lixia Diao2, Edwin Roger Parra Cuentas3
1Department of Thoracic and Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas.
Purpose:
Promising results in the treatment of non-small cell lung cancer (NSCLC) have been seen with agents targeting immune checkpoints, such as programmed cell death 1 (PD-1) or programmed death ligand-1 (PD-L1). However, only a select group of patients respond to these interventions. The identification of biomarkers that predict clinical benefit to immune checkpoint blockade is critical to successful clinical translation of these agents.
Methods:
We conducted an integrated analysis of three independent large datasets, including The Cancer Genome Atlas of lung adenocarcinoma and two datasets from MD Anderson Cancer Center (Houston, TX), Profiling of Resistance Patterns and Oncogenic Signaling Pathways in Evaluation of Cancers of the Thorax (named PROSPECT) and Biomarker-Integrated Approaches of Targeted Therapy for Lung Cancer Elimination (named BATTLE-1). Comprehensive analysis of mRNA gene expression, reverse-phase protein array, IHC, and correlation with clinical data were performed.
Results:
Epithelial-mesenchymal transition (EMT) is highly associated with an inflammatory tumor microenvironment in lung adenocarcinoma, independent of tumor mutational burden. We found immune activation coexistent with elevation of multiple targetable immune checkpoint molecules, including PD-L1, PD-L2, PD-1, TIM-3, B7-H3, BTLA, and CTLA-4, along with increases in tumor infiltration by CD4(+)Foxp3(+) regulatory T cells in lung adenocarcinomas that displayed an EMT phenotype. Furthermore, we identify B7-H3 as a prognostic marker for NSCLC.
Conclusions:
The strong association between EMT status and an inflammatory tumor microenvironment with elevation of multiple targetable immune checkpoint molecules warrants further investigation of using EMT as a predictive biomarker for immune checkpoint blockade agents and other immunotherapies in NSCLC and possibly a broad range of other cancers. Clin Cancer Res; 22(14); 3630-42. ©2016 AACRSee related commentary by Datar and Schalper, p. 3422.
Insights
Epithelial-mesenchymal transition (EMT) is linked to an inflamed tumor microenvironment and elevated immune checkpoints in lung cancer. EMT may predict response to immune checkpoint blockade, offering a new biomarker for non-small cell lung cancer (NSCLC) treatment.
Area of Science:
- Oncology
- Immunology
- Cancer Genomics
Background:
- Immune checkpoint inhibitors (ICIs) show promise for non-small cell lung cancer (NSCLC), but response rates vary.
- Identifying predictive biomarkers is crucial for optimizing ICI therapy in NSCLC.
Purpose of the Study:
- To investigate the association between epithelial-mesenchymal transition (EMT) and the tumor immune microenvironment in lung adenocarcinoma.
- To identify potential biomarkers for predicting response to immune checkpoint blockade in NSCLC.
Main Methods:
- Integrated analysis of three large independent datasets (TCGA, PROSPECT, BATTLE-1) for lung adenocarcinoma.
- Comprehensive analysis of mRNA gene expression, reverse-phase protein array, IHC, and clinical data.
Main Results:
- Epithelial-mesenchymal transition (EMT) strongly correlates with an inflammatory tumor microenvironment in lung adenocarcinoma.
- EMT phenotype is associated with elevated immune checkpoint molecules (PD-L1, PD-1, TIM-3, B7-H3, etc.) and regulatory T cell infiltration.
- B7-H3 is identified as a prognostic marker for NSCLC.
Conclusions:
- EMT status and inflammatory tumor microenvironment are linked to multiple targetable immune checkpoint molecules.
- EMT warrants further investigation as a predictive biomarker for ICI agents and other immunotherapies in NSCLC and potentially other cancers.
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