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September 2, 2025Open Access

Figure S4 from T-cell Receptor Profiling of Blood to Detect Lung Cancer

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

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Key Points

T-cell receptor profiling effectively identifies lung cancer from blood samples, offering a potential for early diagnosis.
The TILS-A-A2 classifier was developed specifically to distinguish lung cancer from non-cancerous conditions.
The analysis indicates that profiling can lead to breakthrough approaches in cancer detection and management.
Further validation of this method could enhance early diagnostic capabilities in lung cancer treatment.

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Implication

T-cell receptor profiling detects lung cancer using blood samples, suggesting early diagnosis may be possible.

Abstract

Development of the TILS-A-A2 classifier

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Cite This Study

Søgaard et al. (2025) studied this question.

synapsesocial.com/papers/68bb4e016d6d5674bcd029d5 https://doi.org/10.1158/2326-6066.30028942

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1Figure S3 from T-cell Receptor Profiling of Blood to Detect Lung Cancer2025
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