Journal
CLINICAL CANCER RESEARCH
Volume 27, Issue 21, Pages 5878-5890Publisher
AMER ASSOC CANCER RESEARCH
DOI: 10.1158/1078-0432.CCR-21-1200
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Funding
- Bristol-Myers Squibb
- Instituto de Salud Carlos III (ISCIII) [PI19/01652]
- European Regional Development Fund (ERDF)
- Ministry of Science and Innovation [RTC20176502-1, RTC2019-007359-1]
- European Union [875160]
- ISCIII-Sara Borrell contract [CD19/00170]
- i-PFIS predoctoral fellowship from ISCIII [IFI18/00051]
- European Social Fund (ESF) [PEJ16/MED/AI-1972, PEJD-2018-PRE/SAL-8641]
- Comunidad de Madrid
- [PEJD-2019-PRE/BMD-17006]
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The study aimed to characterize the T-cell receptor (TCR) repertoire as a potential predictive biomarker for pathologic response to immunotherapy in locally advanced nonsmall cell lung cancer (NSCLC). The analysis revealed a positive association between an uneven TCR repertoire in tissue samples and complete pathologic response (CPR) after surgery. Furthermore, top 1% TCR clones in diagnostic biopsies showed potential as predictive biomarkers for CPR, outperforming PD-L1 tumor proportion score (TPS) and tumor mutational burden (TMB).
Purpose: Characterization of the T-cell receptor (TCR) repertoire may be a promising source for predictive biomarkers of pathologic response to immunotherapy in locally advanced nonsmall cell lung cancer (NSCLC). Experimental Design: In this study, next-generation TCR sequencing was performed in peripheral blood and tissue samples of 40 patients with NSCLC, before and after neoadjuvant chemoimmunotherapy (NADIM clinical trial, NCT03081689), considering their complete pathologic response (CPR) or nonCPR. Beyond TCR metrics, tissue clones were ranked by their frequency and spatiotemporal evolution of top 1% clones was determined. Results: Wehave found a positive association between an uneven TCR repertoire in tissue samples at diagnosis and CPR at surgery. Moreover, TCR most frequently ranked clones (top 1%) present in diagnostic biopsies occupied greater frequency in the total clonal space of CPR patients, achieving an AUC ROC to identify CPR patients of 0.967 (95% confidence interval, 0.897-1.000; P = 0.001), and improving the results of PD-L1 tumor proportion score (TPS; AUC = 0.767; P = 0.026) or tumor mutational burden (TMB; AUC = 0.550; P = 0.687). Furthermore, tumors with high pretreatment top 1% clonal space showed similar immune cell populations but a higher immune reactive gene expression profile. Finally, the selective expansion of pretreatment tissue top 1% clones in peripheral blood of CPR patients suggests also a peripheral immunosurveillance, which could explain the high survival rate of these patients. Conclusions: We have identified two parameters derived from TCR repertoire analysis that could outperform PD-L1 TPS and TMB as predictive biomarkers of CPR after neoadjuvant chemoimmunotherapy, and unraveled possible mechanisms of CPR involving enhanced tumor immunogenicity and peripheral immunosurveillance.
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