Spatial analysis of the T-cell repertoire in non-small cell lung cancer reveals a clonality gradient from the tumor to the distal lung.

Authors

null

Meredith Frank

University of Texas MD Anderson Cancer Center, Houston, TX

Meredith Frank , Fenglei Yu , Alexandre Reuben , Muyun Peng , Gao Yang , Xiaofeng Chen , Liyan Ji , Pansong Li , Xuefeng Xia , Yan-Fang Guan , Jianjun Zhang

Organizations

University of Texas MD Anderson Cancer Center, Houston, TX, Department of Thoracic Surgery, The Second Xiangya Hospital of Central South University, Changsha, China, Department of Thoracic and Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, Department of Thoracic Surgery, No.2 Xiangya Hospital, Central South University, Changsha, China, Xiangya Hospital, Central South University, Changsha, China, The Second Xiangya Hospital of Central South University, Changsha, China, Geneplus-Beijing, Geneplus-Beijing Institute, Beijing, China, Geneplus-Beijing Institute, Beijing, China, Geneplus-Beijing, Beijing, China, Department of Thoracic and Head and Neck Medical Oncology, University of Texas MD Anderson Cancer Center, Department of Genomic Medicine, University of Texas MD Anderson Cancer Center, Houston, TX

Research Funding

Other Foundation
NSFC

Background: The immunomodulatory effects of the tumor microenvironment (TME) significantly impact the T cell repertoire resulting in different anti-tumor immune responses. Previous work by our group and others has highlighted intratumor heterogeneity in T cell clonality, spatial distribution, and diversity, as well as infiltration of bystander T cells in early-stage non-small cell lung cancer (NSCLC). However, little is known about how the TME impacts the T cell repertoire in distant or surrounding adjacent uninvolved lung tissue. Methods: We investigated the interplay between tumor and surrounding lung tissues by investigating the T cell repertoire at the tumor site, tumor margin, and 1cm, 2cm, 5cm, and 10cm away from the tumor as well as in peripheral blood in 21 NSCLC patients with a total of 123 samples undergoing T cell receptor (TCR) CDR3b sequencing using the Geneplus technology. Differences in regional T cell repertoires were analyzed based on clonality, diversity, and Morisita Overlap Index (MOI). GLIPH was utilized to identify motifs associated with pathogen specificity in each region. Results: Clonality was lowest within the tumor and progressively increases from tumor margin to tumor adjacent lung toward distant lung with “hot spot” regions of T cell expansion located in adjacent lung tissue proximal to the tumor, namely 2cm away (p = 0.0025). Dominant T cell populations were better conserved between the tumor margins and “hot regions” of high clonality compared to the tumors (p = 0.0009) highlighting the differences between these environments and possible T cell exclusion in immunosuppressive TME. GLIPH analysis revealed an inverse correlation between clonality and the proportion of pathogen-associated TCR motifs (r = -0.83, p = 0.0195). Interestingly, tumor tissue contained the highest proportion of predicted pathogen TCRs whereas regions of high clonality contained the lowest (p < 0.0001), suggesting the antigen-independent nature of T cell trafficking. Conclusions: Combined, these results highlight isolated pockets of T cell expansion in the lungs outside the tumor and potential immune evasion mechanisms in NSCLC.

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Abstract Details

Meeting

2021 ASCO Annual Meeting

Session Type

Publication Only

Session Title

Publication Only: Lung Cancer—Non-Small Cell Local-Regional/Small Cell/Other Thoracic Cancers

Track

Lung Cancer

Sub Track

Local-Regional Non–Small Cell Lung Cancer

Citation

J Clin Oncol 39, 2021 (suppl 15; abstr e20544)

DOI

10.1200/JCO.2021.39.15_suppl.e20544

Abstract #

e20544

Abstract Disclosures

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