T-cell Receptor Profiling of Blood to Detect Lung Cancer
Maria T Søgaard1,2, Diane Tseng3,4, Sarah Gibbs4
1Section of Medical Immunology, Rutgers Cancer Institute, New Brunswick, New Jersey.
Cancer Immunology Research
|July 1, 2025
Summary
Blood T-cell receptor (TCR) sequencing offers a novel approach for early lung cancer detection. The developed Tumor Immune Lymphocyte Score (TILS) effectively identifies lung cancer, showing promise as a diagnostic tool.
Area of Science:
- Immunology
- Oncology
- Biomarker Discovery
Background:
- The blood T-cell receptor (TCR) repertoire contains valuable information about immune responses but is underutilized for cancer biomarker studies.
- Complexity and limited profiling data hinder the use of circulating T-cell repertoires in cancer diagnostics.
Purpose of the Study:
- To investigate the utility of blood TCR sequencing for early lung cancer detection.
- To develop and validate a novel biomarker score based on TCR repertoire analysis for lung cancer diagnosis.
Main Methods:
- Sequencing of peripheral blood leukocyte fraction from 633 individuals (case-control and screening cohorts).
- Development of the Tumor Immune Lymphocyte Score (TILS) using TCR specificity groups (TILS-A) or public TCR clonotypes (TILS-B).
- Validation of TILS classifiers in a lung cancer screening cohort and an external dataset.
Main Results:
- TILS-A, based on 125 TCR specificity groups, demonstrated superior lung cancer detection compared to TILS-B (49 public clonotypes).
- TILS classifiers provided predictive value, improving cancer prediction in individuals with indeterminate risk, even after adjusting for clinical factors.
- TILS-A showed association with both early- and late-stage lung cancer and improved accuracy when considering HLA status.
Conclusions:
- Circulating T-cell repertoire profiles hold significant value for lung cancer detection.
- The TILS score, particularly TILS-A, shows potential as a non-invasive diagnostic tool for lung cancer.
- Further validation supports the use of TCR sequencing-based biomarkers in clinical oncology.


