Immunorepertoire-based characterization of adaptive immunity in human malignant pleural effusion

Background Malignant pleural effusion (MPE) frequently occurs in patients with advanced cancer and is predominantly infiltrated by lymphocytes, particularly CD4 + T cells. However, the characteristics of adaptive immune cells, including T-cell receptor (TCR) and B-cell receptor (BCR) repertoires, in MPE remain largely unclear. Methods In this study, we comprehensively characterized adaptive immune alterations in human lung adenocarcinoma-associated MPE and peripheral blood samples using single-cell RNA sequencing and single-cell V(D)J sequencing. Results No significant difference in complementary determining region 3 length distribution was observed among adaptive immune cell subsets between MPE and blood samples. Within MPE microenvironment, regulatory T cells and regulatory B cells preferentially harbored specific V(D)J gene segments, while Th1/17 cells exhibited marked clonal expansion associated with metabolic adaptation, enhanced effector functions, and a propensity to recognize MPE-specific antigens. In addition, expanded cytotoxic CD8 + T cells displayed functional heterogeneity characterized by strong cytotoxic potential alongside an exhaustion signature. Notably, our findings underscore the functional importance of TCR complementary determining region 3 in determining MPE-specific antigen recognition. However, no significant clonotypic or functional changes were detected in the BCR repertoire. Conclusions This study provides a TCR/BCR-based single-cell atlas of adaptive immune profiles in MPE, offering new insights into the immunopathogenesis of this malignancy-associated condition.

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Publication Details

Journal
Frontiers in Oncology
Published
2026-04-28
DOI
https://doi.org/10.3389/fonc.2026.1825360
Primary Topic
Cancer Immunotherapy and Biomarkers
Type
article
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article

Immunorepertoire-based characterization of adaptive immunity in human malignant pleural effusion

Chuang-Xin Zhang, Yupeng Li, Xin‐Ao Li, Kan Zhai
Frontiers in Oncology
Cancer Immunotherapy and Biomarkers
article

Immunorepertoire-based characterization of adaptive immunity in human malignant pleural effusion

Chuang-Xin Zhang, Yupeng Li, Xin‐Ao Li, Kan Zhai
article en

Abstract

Background Malignant pleural effusion (MPE) frequently occurs in patients with advanced cancer and is predominantly infiltrated by lymphocytes, particularly CD4 + T cells. However, the characteristics of adaptive immune cells, including T-cell receptor (TCR) and B-cell receptor (BCR) repertoires, in MPE remain largely unclear. Methods In this study, we comprehensively characterized adaptive immune alterations in human lung adenocarcinoma-associated MPE and peripheral blood samples using single-cell RNA sequencing and single-cell V(D)J sequencing. Results No significant difference in complementary determining region 3 length distribution was observed among adaptive immune cell subsets between MPE and blood samples. Within MPE microenvironment, regulatory T cells and regulatory B cells preferentially harbored specific V(D)J gene segments, while Th1/17 cells exhibited marked clonal expansion associated with metabolic adaptation, enhanced effector functions, and a propensity to recognize MPE-specific antigens. In addition, expanded cytotoxic CD8 + T cells displayed functional heterogeneity characterized by strong cytotoxic potential alongside an exhaustion signature. Notably, our findings underscore the functional importance of TCR complementary determining region 3 in determining MPE-specific antigen recognition. However, no significant clonotypic or functional changes were detected in the BCR repertoire. Conclusions This study provides a TCR/BCR-based single-cell atlas of adaptive immune profiles in MPE, offering new insights into the immunopathogenesis of this malignancy-associated condition.

Frontiers in OncologyVol. 16
Capital Medical University (CN), Beijing Chao-Yang Hospital, Capital Medical University (CN), University Medical Center (US)
Openalex Percentile: Top 14%
Cancer Immunotherapy and Biomarkers
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