ArticleCancer immunology research2025
T-cell Receptor Profiling of Blood to Detect Lung Cancer.
Article in Cancer immunology research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- LCPBert: ProtBERT-based early-stage lung cancer prediction from T cell receptor beta sequences.iScience · 2026Article
- Advances in predicting T cell epitope recognition for cancer immunotherapy.Nature cancer · 2026Review
- A multi-branch ensemble learning framework for detection of non-small cell lung cancer via T-cell receptor sequencing.BMC cancer · 2026Article
- Large-Scale T-cell Receptor Repertoire Profiling Unveils Tumor-Specific Signals for Diagnosing Indeterminate Pulmonary Nodules.Cancer research · 2025Article
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Authors and funding
15 authors.
Funding
Abstract
The blood T-cell receptor (TCR) repertoire broadly reflects current and lifetime immune responses against infectious pathogens and cancer, but the circulating T-cell repertoire remains a largely untapped resource for cancer biomarker studies due to repertoire complexity and limited profiling data. In this study, we investigated the use of blood TCR sequencing for the early detection of lung cancer. We sequenced the leukocyte fraction of peripheral blood from 633 individuals divided into a case-control cohort (n = 511) and a lung cancer screening cohort (n = 122), representing more than 12.6 million unique clonotypes. Based on the TCR repertoires in these individuals, we devised a Tumor Immune Lymphocyte Score (TILS) using either TCR specificity groups (TILS-A) or highly recurrent "public" TCR clonotypes (TILS-B) capable of detecting lung cancer. TILS-A consisted of 125 TCR specificity groups that outperformed the TILS-B classifier of 49 public, TCRβ-Vβ-defined clonotypes for cancer detection. TILS classifiers (TILS-A and TILS-B) provided predictive value after accounting for age, smoking status, and nodule size in the lung cancer screening cohort and improved cancer prediction for individuals with indeterminate lung cancer risk. In the subgroup analysis, TILS-A was associated with lung cancer in both early- and late-stage disease, had improved accuracy when accounting for HLA status, and was validated in an external dataset studying lung cancer initiation. Collectively, these data suggest that profiles of the circulating T-cell response can provide value for lung cancer detection and support its use as a diagnostic tool.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.