IMPROVE: a feature model to predict neoepitope immunogenicity through broad-scale validation of T-cell recognition.

Background: Mutation-derived neoantigens are critical targets for tumor rejection in cancer immunotherapy, and better tools for neoepitope identification and prediction are needed to improve neoepitope targeting strategies. Computational tools have enabled the identification of patient-specific neoantigen candidates from sequencing data, but limited data availability has hindered their capacity to predict which of the many neoepitopes will most likely give rise to T cell recognition. Method: To address this, we make use of experimentally validated T cell recognition towards 17,500 neoepitope candidates, with 467 being T cell recognized, across 70 cancer patients undergoing immunotherapy. Results: We evaluated 27 neoepitope characteristics, and created a random forest model, IMPROVE, to predict neoepitope immunogenicity. The presence of hydrophobic and aromatic residues in the peptide binding core were the most important features for predicting neoepitope immunogenicity. Conclusion: Overall, IMPROVE was found to significantly advance the identification of neoepitopes compared to other current methods.

T antigen-specific CD8+ T cells associate with PD-1 blockade response in virus-positive Merkel cell carcinoma.

Merkel cell carcinoma (MCC) is a highly immunogenic skin cancer primarily induced by Merkel cell polyomavirus, which is driven by the expression of the oncogenic T antigens (T-Ags). Blockade of the programmed cell death protein-1 (PD-1) pathway has shown remarkable response rates, but evidence for therapy-associated T-Ag-specific immune response and therapeutic strategies for the nonresponding fraction are both limited. We tracked T-Ag-reactive CD8+ T cells in peripheral blood of 26 MCC patients under anti-PD1 therapy, using DNA-barcoded pMHC multimers, displaying all peptides from the predicted HLA ligandome of the oncoproteins, covering 33 class I haplotypes. We observed a broad T cell recognition of T-Ags, including identification of 20 T-Ag-derived epitopes we believe to be novel. Broadening of the T-Ag recognition profile and increased T cell frequencies during therapy were strongly associated with clinical response and prolonged progression-free survival. T-Ag-specific T cells could be further boosted and expanded directly from peripheral blood using artificial antigen-presenting scaffolds, even in patients with no detectable T-Ag-specific T cells. These T cells provided strong tumor-rejection capacity while retaining a favorable phenotype for adoptive cell transfer. These findings demonstrate that T-Ag-specific T cells are associated with the clinical outcome to PD-1 blockade and that Ag-presenting scaffolds can be used to boost such responses.

Neoantigen-reactive CD8+ T cells affect clinical outcome of adoptive cell therapy with tumor-infiltrating lymphocytes in melanoma.

BACKGROUNDNeoantigen-driven recognition and T cell-mediated killing contribute to tumor clearance following adoptive cell therapy (ACT) with tumor-infiltrating lymphocytes (TILs). Yet how diversity, frequency, and persistence of expanded neoepitope-specific CD8+ T cells derived from TIL infusion products affect patient outcome is not fully determined.METHODSUsing barcoded pMHC multimers, we provide a comprehensive mapping of CD8+ T cells recognizing neoepitopes in TIL infusion products and blood samples from 26 metastatic melanoma patients who received ACT.RESULTSWe identified 106 neoepitopes within TIL infusion products corresponding to 1.8% of all predicted neoepitopes. We observed neoepitope-specific recognition to be virtually devoid in TIL infusion products given to patients with progressive disease outcome. Moreover, we found that the frequency of neoepitope-specific CD8+ T cells in TIL infusion products correlated with increased survival and that neoepitope-specific CD8+ T cells shared with the infusion product in posttreatment blood samples were unique to responders of TIL-ACT. Finally, we found that a transcriptional signature for lymphocyte activity within the tumor microenvironment was associated with a higher frequency of neoepitope-specific CD8+ T cells in the infusion product.CONCLUSIONSThese data support previous case studies of neoepitope-specific CD8+ T cells in melanoma and indicate that successful TIL-ACT is associated with an expansion of neoepitope-specific CD8+ T cells.FUNDINGNEYE Foundation; European Research Council; Lundbeck Foundation Fellowship; Carlsberg Foundation.

Proton pump inhibitor use and cancer mortality.

Proton pump inhibitors (PPIs) are commonly used as a supplement to cancer therapy. Yet, their effect on cancer mortality is largely unknown. Using data from Danish nationwide registries and Cox models regressing of both propensity scores and drug use, we estimated hazard ratios (HRs) with 95% confidence intervals (CIs) for cancer-specific and noncancer death among PPI users (≥2 prescriptions within six months after diagnosis; n = 36,066) compared with nonusers (<2 prescriptions, n = 311,853) or users of histamine H2 -receptor antagonists (H2 RA; n = 5,152). Adjusted HRs for cancer-specific mortality among postdiagnostic PPI users as compared with nonusers or H2 RA users were 1.29 (95% CI, 1.27-1.32) and 1.15 (95% CI, 1.10-1.20), respectively. HRs for cancer mortality associated with PPI use were highest for ovarian (1.35; 95% CI, 1.20-1.52) and lowest for esophageal cancer (0.91; 95% CI, 0.81-1.04). The associations were stronger among new PPI users after cancer diagnosis, indicating potential confounding. To test the effect of PPIs on tumor growth in a model system free for confounding factors, we investigated the effect of pantoprazole on tumor growth in mice. Pantoprazole (5 mg/kg/day) enhanced tumor growth (p = 0.033) and reduced the antitumor activity of gemcitabine (p = 0.008) in fibrosarcoma-bearing Balb/c mice, but not in immunodeficient Balb/c nude mice. In breast carcinoma-bearing FVB/N mice, pantoprazole had no effect on tumor growth alone but it reduced the life-prolonging effect of doxorubicin significantly (p = 0.007). Taken together, these data raise concerns about the increasing use of PPIs and calls for further studies addressing their safety among cancer patients.