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Updated: Jan 14, 2026

Enrichment and Characterization of the Tumor Immune and Non-immune Microenvironments in Established Subcutaneous Murine Tumors
Published on: June 7, 2018
Tumor immune microenvironment analysis in different pathologic responses to neoadjuvant immunotherapy combined with
Zhaofeng Wang1, Yunchang Meng2,3,4, Fang Zhang1
1Department of Respiratory, Jinling Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, China.
Background:
Lung cancer, particularly non-small cell lung cancer (NSCLC), remains a major global challenge. Neoadjuvant immunotherapy combined with chemotherapy (IO-CT) has shown potential in improving survival outcomes for resectable NSCLC. This study aimed to investigate changes in the tumor immune microenvironment (TIME) following IO-CT or chemotherapy alone and identify immune biomarkers predictive of treatment response.
Methods:
Pre- and post-treatment tumor samples from NSCLC patients receiving either IO-CT or chemotherapy alone were analyzed. Multiplex immunofluorescence was performed to assess immune cell populations, including CD3+ T cells, CD8+ T cells, CD8+ programmed death 1 (PD-1)+ T cells, and CD20+ B cells. The presence of tertiary lymphoid structures (TLS) and immune cell infiltration patterns was correlated with treatment responses, including major pathologic response (MPR) and pathologic complete response (pCR).
Results:
IO-CT preserved and enhanced immune cell populations, particularly CD3+ T cells, CD8+ T cells, and CD8+ PD-1+ T cells, while promoting TLS formation, which was associated with improved survival outcomes. Patients achieving MPR/pCR displayed higher baseline infiltration of CD20+ B cells and cytotoxic T lymphocytes (CTLs), suggesting a pre-existing "immune activation" state predictive of treatment response.
Conclusions:
This study highlights the role of TIME reprogramming and TLS formation in the efficacy of neoadjuvant IO-CT for NSCLC. Baseline immune activation, marked by CD20+ B cells and CTLs, may serve as predictive biomarkers for treatment response, paving the way for personalized treatment strategies and improved prognostication.
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