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P03.30 Tumur mutations drive dysfunctional T cell differentiation in lung cancer
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  1. E Ghorani1,
  2. J Reading1,
  3. J Henry1,
  4. M Robert de Massy1,
  5. R Rosenthal2,
  6. V Turati3,
  7. A Furness1,
  8. A Ben Aissa1,
  9. S Kumar Saini4,
  10. S Ramskov4,
  11. A Georgiou1,
  12. M Vila De Mucha1,
  13. I Uddin1,
  14. T Ronel5,
  15. R Salgado6,
  16. T Lund1,
  17. J Herrero7,
  18. T Enver3,
  19. S Hadrup8,
  20. A Hackshaw9,
  21. K Peggs1,
  22. N McGranahan2,
  23. B Chain5,
  24. C Swanton2 and
  25. S Quezada1
  1. 1Cancer Immunology Unit, UCL Cancer Institute, London, UK
  2. 2Cancer Research UK Lung Cancer Centre of Excellence, UCL Cancer Institute, London, UK
  3. 3Department of Cancer Biology, UCL Cancer Institute, London, UK
  4. 4Department of Health Technology, Technical University of Denmark, Lyngby, Denmark
  5. 5Division of Infection and Immunity, UCL, London, UK
  6. 6Department of Pathology, GZA-ZNA, Antwerp, Belgium
  7. 7Bill Lyons Informatics Centre, UCL Cancer Institute, London, UK
  8. 8Department of Health Technology, Technical University of Denmark, London, UK
  9. 9Cancer Research UK andUCL Cancer Trials Centre, London, UK

Abstract

Background Effective anti-tumour immunity requires cancer antigen expression, but persistent antigen exposure in chronic viral infections and autoimmunity has a detrimental effect on immune function. This is associated with a decline of early differentiated T cell populations in favour of later differentiated, dysfunctional subsets, resulting in an unfavourable skewing of the immune landscape. It is unknown whether this occurs locally within the antigen rich tumour microenvironment, driving immune failure.

Materials and Methods We combined tumour infiltrating lymphocyte (TIL) high dimensional flow cytometry, bulk exome and RNA sequencing data from multiregional samples obtained from surgically resected tumours of treatment naive patients with non-small cell lung cancer (NSCLC) amongst the first 100 recruited to the prospective, UK-wide lung TRACERx study. Clonal relationship between T cell populations was determined by T cell receptor (TCR) sequencing. We additionally analysed publically available single T cell RNA sequencing data and bulk RNA sequencing data within TCGA.

Results T cell differentiation skewing (TDS) occurred amongst TILs in association with tumour mutational burden (TMB). Surprisingly, this was most evident within the CD4 compartment that had a greater abundance of central memory cells expressing the key transcription factor TCF7. Amongst CD4 cells, loss of a PD1-CCR7+ T central memory population was accompanied by gain in abundance of PD1+ populations with exhausted (CD57-ICOShiCTLA4hi) and terminally differentiated effector (CD57+Eomes+) features. TCR sequencing revealed early and dysfunctional differentiated populations to be clonally related and CDR3 clustering analysis showed greater similarity of sequences shared vs. non-shared between subsets, consistent with an antigen driven differentiation process. Similar patterns were observed within the CD8 compartment. Identification of these subsets within single T cell RNA sequencing data revealed shared and distinct functional regulators, suggesting the enhanced effector capability of early compared to dysfunctionally differentiated populations. A validated transcriptional signature of TDS generated using TRACERx samples with paired flow cytometry and RNA sequencing data reflected loss of gene expression downstream of TCF7, and predicted worse survival within TRACERx and multiple TCGA cohorts including lung adenocarcinoma (LUAD).

Conclusions Our finding support a model of neoantigen driven T cell differentiation within the tumour microenvironment that drives the depletion of progenitor-like cells and gain in abundance of dysfunctional subsets, resulting in a loss of immune fitness. Our analysis of transcriptomic data elucidates potential regulatory mechanisms and therapeutic targets within the subsets identified.

Disclosure Information E. Ghorani: None. J. Reading: None. J. Henry: None. M. Robert de Massy: None. R. Rosenthal: E. Ownership Interest (stock, stock options, patent or other intellectual property); Modest; Achilles Therapeutics. F. Consultant/Advisory Board; Modest; Achilles Therapeutics. V. Turati: None. A. Furness: None. A. Ben Aissa: None. S. Kumar Saini: None. S. Ramskov: None. A. Georgiou: None. M. Vila De Mucha: None. I. Uddin: None. T. Ronel: None. R. Salgado: None. T. Lund: None. J. Herrero: None. T. Enver: None. S. Hadrup: None. A. Hackshaw: None. K. Peggs: E. Ownership Interest (stock, stock options, patent or other intellectual property); Modest; Achilles Therapeutics. N. McGranahan,: E. Ownership Interest (stock, stock options, patent or other intellectual property); Modest; Achilles Therapeutics. F. Consultant/Advisory Board; Modest; Achilles Therapeutics. B. Chain: None. C. Swanton: B. Research Grant (principal investigator, collaborator or consultant and pending grants as well as grants already received); Modest; Pfizer, AstraZeneca, BMS, Roche–Ventana and Boehringer Ingelheim. E. Ownership Interest (stock, stock options, patent or other intellectual property); Modest; ApoGen Biotechnologies, Epic Bioscience and GRAIL, and has stock options in and is co-founder of Achilles Therapeutics. F. Consultant/Advisory Board; Modest; Pfizer, Novartis, GlaxoSmithKline, MSD, BMS, Celgene, AstraZeneca, Illumina, Genentech, Roche–Ventana, GRAIL, Medicxi and the Sarah Cannon Research Institute. S. Quezada: E. Ownership Interest (stock, stock options, patent or other intellectual property); Modest; Achilles Therapeutics.

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