T cell receptor profiling of blood for early detection of lung cancer 2685

Abstract Description Lung cancer is the leading cause of cancer-related deaths – thus new biomarkers for early detection are needed. Given the high mutational burden of lung cancer and its association with a strong anti-tumor immune response, we investigated the use of blood TCR profiling for early detection of lung cancer. We sequenced PBMCs from 633 individuals, divided into a case-control (n = 511) and a lung cancer screening cohort (n = 122), identifying over 12.6 million unique TCRβ clonotypes. We devised a Tumor Immune Lymphocyte Score (TILS) using either TCR specificity groups (TILS-A, 125 groups) or ‘public’ TCRβ-Vβ clonotypes (TILS-B, 49 clonotypes) capable of detecting lung cancer. TILS classifiers were strongly associated with lung cancer in both cohorts, and TILS-A and TILS-B TCRs were enriched in tumor compared to uninvolved adjacent lung tissue in an external cohort. When integrated with other T cell-associated variables and clinical variables of risk, TILS classifiers markedly improved cancer prediction accuracy (AUC = 0.925 vs 0.904). Notably, TILS-A significantly improved cancer risk prediction in the screening cohort (NRI = 0.232), particularly for individuals with otherwise indeterminate risk. Subgroup analysis showed TILS-A was associated with both early and late-stage disease. Moreover, TILS-A prediction accuracy was improved when adjusted for HLA status. These findings highlight blood TCR profiling as a promising tool for early lung cancer detection and diagnosis. Topic Categories Translational and Interventional Immunology (TI)

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Publication Details

Journal
The Journal of Immunology
Published
2025-11-01
DOI
https://doi.org/10.1093/jimmun/vkaf283.575
Primary Topic
Cancer Immunotherapy and Biomarkers
Type
article
Field-Weighted Citation Impact
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article

T cell receptor profiling of blood for early detection of lung cancer 2685

A. McGarry Houghton, Diane Tseng, Jianhong Cao, Lorna G. Nolan et al.
The Journal of Immunology
Cancer Immunotherapy and Biomarkers
article

T cell receptor profiling of blood for early detection of lung cancer 2685

A. McGarry Houghton, Diane Tseng, Jianhong Cao, Lorna G. Nolan, Mason Lai, Shin‐Heng Chiou, Pamela Y. Yang, Wei Wu, Koshlan Mayer-Blackwell, Maria T. Søgaard, Sudhakar Pipavath, Evan W. Newell, Kyle K. Payne, Viswam S. Nair, Sarah Gibbs
article en

Abstract

Abstract Description Lung cancer is the leading cause of cancer-related deaths – thus new biomarkers for early detection are needed. Given the high mutational burden of lung cancer and its association with a strong anti-tumor immune response, we investigated the use of blood TCR profiling for early detection of lung cancer. We sequenced PBMCs from 633 individuals, divided into a case-control (n = 511) and a lung cancer screening cohort (n = 122), identifying over 12.6 million unique TCRβ clonotypes. We devised a Tumor Immune Lymphocyte Score (TILS) using either TCR specificity groups (TILS-A, 125 groups) or ‘public’ TCRβ-Vβ clonotypes (TILS-B, 49 clonotypes) capable of detecting lung cancer. TILS classifiers were strongly associated with lung cancer in both cohorts, and TILS-A and TILS-B TCRs were enriched in tumor compared to uninvolved adjacent lung tissue in an external cohort. When integrated with other T cell-associated variables and clinical variables of risk, TILS classifiers markedly improved cancer prediction accuracy (AUC = 0.925 vs 0.904). Notably, TILS-A significantly improved cancer risk prediction in the screening cohort (NRI = 0.232), particularly for individuals with otherwise indeterminate risk. Subgroup analysis showed TILS-A was associated with both early and late-stage disease. Moreover, TILS-A prediction accuracy was improved when adjusted for HLA status. These findings highlight blood TCR profiling as a promising tool for early lung cancer detection and diagnosis. Topic Categories Translational and Interventional Immunology (TI)

The Journal of ImmunologyVol. 214(Supplement_1)
Rutgers, The State University of New Jersey (US), University of Washington (US), Fred Hutch Cancer Center (US)
Openalex Percentile: Top 52%
Cancer Immunotherapy and Biomarkers
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