Carlos E De Andrea1,2,3,4, Sandra Hervas-Stubbs5,6,7, Diego Salas-Benito8,1, Enrique Conde1,9, Ibon Tamayo-Uria1,9, Uxua Mancheño1,9, Edurne Elizalde1,9, David Garcia-Ros1,2,3, Jose M Aramendia8,1, Juan C Muruzabal1,10, Julia Alcaide11, Francisco Guillen-Grima1,12, Jose A Minguez8,13, Jose Amores-Tirado14, Antonio Gonzalez-Martin8,15, Pablo Sarobe1,9,16, Juan J Lasarte1,9, Mariano Ponz-Sarvise17,18,19. 1. Instituto de Investigación Sanitaria de Navarra (IdiSNA), Pamplona, Spain. 2. Department of Pathology, Clínica Universidad de Navarra, Pamplona, Spain. 3. Department Pathology, Anatomy and Physiology, Universidad de Navarra, Pamplona, Spain. 4. Centro de Investigación Biomédica en Red de Oncología (CIBERONC), Madrid, Spain. 5. Instituto de Investigación Sanitaria de Navarra (IdiSNA), Pamplona, Spain. mshervas@unav.es. 6. Program of Immunology and Immunotherapy, Center for Applied Medical Research (CIMA), University of Navarra, Pamplona, Spain. mshervas@unav.es. 7. CIBERehd, Instituto de Salud Carlos III, Madrid, Spain. mshervas@unav.es. 8. Department of Medical Oncology, Clínica Universidad de Navarra, Pamplona, Spain. 9. Program of Immunology and Immunotherapy, Center for Applied Medical Research (CIMA), University of Navarra, Pamplona, Spain. 10. Department of Gynecologic Oncology, Complejo Hospitalario de Navarra, Pamplona, Spain. 11. Department of Oncology, Hospital Costa del Sol, Marbella, Spain. 12. Department of Preventive Medicine, Clínica Universidad de Navarra, Pamplona, Spain. 13. Department of Obstetrics and Gynecology, Clínica Universidad de Navarra, Pamplona, Spain. 14. Department of Gynecology, Hospital Costa del Sol, Marbella, Spain. 15. GEICO Study Group, Madrid, Spain. 16. CIBERehd, Instituto de Salud Carlos III, Madrid, Spain. 17. Department of Medical Oncology, Clínica Universidad de Navarra, Pamplona, Spain. mponz@unav.es. 18. Instituto de Investigación Sanitaria de Navarra (IdiSNA), Pamplona, Spain. mponz@unav.es. 19. Program of Solid Tumors, CIMA, University of Navarra, Pamplona, Spain. mponz@unav.es.
Abstract
BACKGROUND: Adoptive immunotherapy with tumour-infiltrating lymphocytes (TIL) may benefit from the use of selective markers, such as PD-1, for tumour-specific T-cell enrichment, and the identification of predictive factors that help identify those patients capable of rendering tumour-reactive TILs. We have investigated this in ovarian cancer (OC) patients as candidates for TIL therapy implementation. METHODS: PD-1- and PD-1+ CD8 TILs were isolated from ovarian tumours and expanded cells were tested against autologous tumour cells. Baseline tumour samples were examined using flow cytometry, multiplexed immunofluorescence and Nanostring technology, for gene expression analyses, as well as a next-generation sequencing gene panel, for tumour mutational burden (TMB) calculation. RESULTS: Tumour-reactive TILs were detected in half of patients and were exclusively present in cells derived from the PD-1+ fraction. Importantly, a high TIL density in the fresh tumour, the presence of CD137+ cells within the PD-1+CD8+ TIL subset and their location in the tumour epithelium, together with a baseline T-cell-inflamed genetic signature and/or a high TMB, are features that identify patients rendering tumour-reactive TIL products. CONCLUSION: We have demonstrated that PD-1 identifies ovarian tumour-specific CD8 TILs and has uncovered predictive factors that identify OC patients who are likely to render tumour-specific cells from PD-1+ TILs.
BACKGROUND: Adoptive immunotherapy with tumour-infiltrating lymphocytes (TIL) may benefit from the use of selective markers, such as PD-1, for tumour-specific T-cell enrichment, and the identification of predictive factors that help identify those patients capable of rendering tumour-reactive TILs. We have investigated this in ovarian cancer (OC) patients as candidates for TIL therapy implementation. METHODS: PD-1- and PD-1+ CD8 TILs were isolated from ovarian tumours and expanded cells were tested against autologous tumour cells. Baseline tumour samples were examined using flow cytometry, multiplexed immunofluorescence and Nanostring technology, for gene expression analyses, as well as a next-generation sequencing gene panel, for tumour mutational burden (TMB) calculation. RESULTS:Tumour-reactive TILs were detected in half of patients and were exclusively present in cells derived from the PD-1+ fraction. Importantly, a high TIL density in the fresh tumour, the presence of CD137+ cells within the PD-1+CD8+ TIL subset and their location in the tumour epithelium, together with a baseline T-cell-inflamed genetic signature and/or a high TMB, are features that identify patients rendering tumour-reactive TIL products. CONCLUSION: We have demonstrated that PD-1 identifies ovarian tumour-specific CD8 TILs and has uncovered predictive factors that identify OC patients who are likely to render tumour-specific cells from PD-1+ TILs.
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