Abdulrahman et al. demonstrated that patients with HPV16+ oropharyngeal squamous cell carcinoma (OPSCC) with a tumor-specific T cell response (IR+) showed enrichment of immune signaling pathways, increased immune cell infiltration, and longer OS compared to HPV16+IR and HPV patients. HPV16+IR+ tumors showed enrichment of CD103+CD8+ T cells, DCs, and CD14+ inflammatory myeloid cells. Spatial analysis revealed DC/T cell-enriched microaggregates, potentially organized by the differentially expressed genes LTB and CXCL12. HPV16+IR+ tumors showed preferential expansion of CD8+ T cell clusters expressing CCL4, associated with improved survival.

Contributed by Shishir Pant

BACKGROUND: The composition of the tumor immune microenvironment (TIME) associated with good prognosis generally also predicts the success of immunotherapy, and both entail the presence of pre-existing tumor-specific T cells. Here, the blueprint of the TIME associated with such an ongoing tumor-specific T-cell response was dissected in a unique prospective oropharyngeal squamous cell carcinoma (OPSCC) cohort, in which tumor-specific tumor-infiltrating T cells were detected (immune responsiveness (IR(+))) or not (lack of immune responsiveness (IR(-))).
METHODS:
A comprehensive multimodal, high-dimensional strategy was applied to dissect the TIME of treatment-naive IR(+) and IR(-) OPSCC tissue, including bulk RNA sequencing (NanoString), imaging mass cytometry (Hyperion) for phenotyping and spatial interaction analyses of immune cells, and combined single-cell gene expression profiling and T-cell receptor (TCR) sequencing (single-cell RNA sequencing (scRNAseq)) to characterize the transcriptional states of clonally expanded tumor-infiltrating T cells.
RESULTS:
IR(+) patients had an excellent survival during >10 years follow-up. The tumors of IR(+) patients expressed higher levels of genes strongly related to interferon gamma signaling, T-cell activation, TCR signaling, and mononuclear cell differentiation, as well as genes involved in several immune signaling pathways, than IR(-) patients. The top differently overexpressed genes included CXCL12 and LTB, involved in ectopic lymphoid structure development. Moreover, scRNAseq not only revealed that CD4(+) T cells were the main producers of LTB but also identified a subset of clonally expanded CD8(+) T cells, dominantly present in IR(+) tumors, which secreted the T cell and dendritic cell (DC) attracting chemokine CCL4. Indeed, immune cell infiltration in IR(+) tumors is stronger, highly coordinated, and has a distinct spatial phenotypical signature characterized by intratumoral microaggregates of CD8(+)CD103(+) and CD4(+) T cells with DCs. In contrast, the IR(-) TIME comprised spatial interactions between lymphocytes and various immunosuppressive myeloid cell populations. The impact of these chemokines on local immunity and clinical outcome was confirmed in an independent The Cancer Genome Atlas OPSCC cohort.
CONCLUSION: The production of lymphoid cell attracting and organizing chemokines by tumor-specific T cells in IR(+) tumors constitutes a positive feedback loop to sustain the formation of the DC-T-cell microaggregates and identifies patients with excellent survival after standard therapy.

Author Info: (1) Medical Oncology, Oncode Institute, Leiden University Medical Center, Leiden, The Netherlands. (2) Medical Oncology, Oncode Institute, Leiden University Medical Center, Leiden,

Author Info: (1) Medical Oncology, Oncode Institute, Leiden University Medical Center, Leiden, The Netherlands. (2) Medical Oncology, Oncode Institute, Leiden University Medical Center, Leiden, The Netherlands. (3) Biocenter, Institute of Bioinformatics, Medical University of Innsbruck, Innsbruck, Austria. (4) Medical Oncology and National Center for Tumor diseases, University Hospital Heidelberg, German Cancer Research Center, Heidelberg, Germany. (5) Pathology, Leiden University Medical Center, Leiden, The Netherlands. (6) Radiology, Leiden University Medical Center, Leiden, The Netherlands. (7) Radiology, Leiden University Medical Center, Leiden, The Netherlands. (8) Biocenter, Institute of Bioinformatics, Medical University of Innsbruck, Innsbruck, Austria. (9) Medical University of Innsbruck, Innsbruck, Austria. (10) Otolaryngology, Leiden University Medical Center, Leiden, The Netherlands. (11) Pathology, Tumor Immuno-Pathology Laboratory, Leiden University Medical Center, Leiden, The Netherlands. (12) Medical Oncology, Oncode Institute, Leiden University Medical Center, Leiden, The Netherlands. (13) Pathology, Leiden University Medical Center, Leiden, The Netherlands. (14) Medical Oncology, Oncode Institute, Leiden University Medical Center, Leiden, The Netherlands shvdburg@lumc.nl.