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Updated: Jan 13, 2026
T and B Cell Receptor Immune Repertoire Analysis using Next-generation Sequencing
Published on: January 12, 2021
Large-Scale T-cell Receptor Repertoire Profiling Unveils Tumor-Specific Signals for Diagnosing Indeterminate
Huaichao Luo1, Wei Guo2,3,4, Xinyu Luan5
1Department of Clinical Laboratory, Sichuan Clinical Research Center for Cancer, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, University of Electronic Science and Technology of China, Chengdu, China.
Analyzing T-cell receptor (TCR) repertoires in lung nodules aids in distinguishing benign from malignant cases. The LungTCR database and TCRnodseek plus model offer a new framework for precise indeterminate pulmonary nodule differentiation.
Area of Science:
- Immunogenomics
- Computational Biology
- Oncology
Background:
- Indeterminate pulmonary nodules (IPN) detection is rising, posing a challenge in differentiating benign from malignant lesions.
- Cancer-associated immune signatures are emerging as key indicators for early cancer detection.
Purpose of the Study:
- To explore the clinical utility of T-cell receptor (TCR) repertoire analysis for evaluating IPN.
- To establish a comprehensive TCR repertoire database for lung nodules.
- To develop an advanced diagnostic model for precise IPN differentiation.
Main Methods:
- Large-scale TCR sequencing of 6,059 blood and 988 tumor samples.
- Establishment of the LungTCR database (https://www.lungtcr.com/).
- Development and validation of the TCRnodseek plus diagnostic model using clinical data, CT imaging, and TCR features in a multicenter prospective study (ChiCTR2200055761) with 1,107 patients.
Main Results:
- The LungTCR database provides a quantitative assessment of tumor-related immune responses.
- TCRnodseek plus demonstrated superior diagnostic performance compared to existing approaches for IPN.
- Identified lung cancer-related TCR clones are enriched in non-small cell lung cancer and prevalent in malignant nodules.
Conclusions:
- A robust TCR database and an advanced diagnostic model (TCRnodseek plus) have been developed.
- This study offers a novel framework for precise differentiation of indeterminate pulmonary nodules.
- TCR repertoire analysis holds significant promise for early lung cancer detection and diagnosis.
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