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Neoepitopes derived from intron retention events are processed and presented on MHC I in cancer cell lines. We present an in silico approach to identifying neoepitopes derived from intron retention events in tumor transcriptomes. Using mass spectrometry immunopeptidome analysis, we show that retained intron neoepitopes are processed and presented on MHC I on the surface of cancer cell lines. RNA-derived neoepitopes should be considered for prospective personalized cancer vaccine development.

Immunotherapies provide effective treatments for previously untreatable tumors and identifying tumor-specific epitopes can help elucidate the molecular determinants of therapy response. Here, we describe a pipeline, ISOTOPE (ISOform-guided prediction of epiTOPEs In Cancer), for the comprehensive identification of tumor-specific splicing-derived epitopes. Using RNA sequencing and mass spectrometry for MHC-I associated proteins, ISOTOPE identified neoepitopes from tumor-specific splicing events that are potentially presented by MHC-I complexes. Analysis of multiple samples indicates that splicing alterations may affect the production of self-epitopes and generate more candidate neoepitopes than somatic mutations. Although there was no difference in the number of splicing-derived neoepitopes between responders and non-responders to immune therapy, higher MHC-I binding affinity was associated with a positive response. Our analyses highlight the diversity of the immunogenic impacts of tumor-specific splicing alterations and the importance of studying splicing alterations to fully characterize tumors in the context of immunotherapies. ISOTOPE is available at https://github.com/comprna/ISOTOPE .

The cell adhesion protein and tumour suppressor E-cadherin exhibits important functions in the prevention of gastric cancer. As a class-I carcinogen, Helicobacter pylori ( H. pylori ) has developed a unique strategy to interfere with E-cadherin functions. In previous studies, we have demonstrated that H. pylori secretes the protease high temperature requirement A (HtrA) which cleaves off the E-cadherin ectodomain (NTF) on epithelial cells. This opens cell-to-cell junctions, allowing bacterial transmigration across the polarised epithelium. Here, we investigated the molecular mechanism of the HtrA-E-cadherin interaction and identified E-cadherin cleavage sites for HtrA. Mass-spectrometry-based proteomics and Edman degradation revealed three signature motifs containing the [VITA]-[VITA]-x-x-D-[DN] sequence pattern, which were preferentially cleaved by HtrA. Based on these sites, we developed a substrate-derived peptide inhibitor that selectively bound and inhibited HtrA, thereby blocking transmigration of H. pylori. The discovery of HtrA-targeted signature sites might further explain why we detected a stable 90 kDa NTF fragment during H. pylori infection, but also additional E-cadherin fragments ranging from 105 kDa to 48 kDa in in vitro cleavage experiments. In conclusion, HtrA targets E-cadherin signature sites that are accessible in in vitro reactions, but might be partially masked on epithelial cells through functional homophilic E-cadherin interactions.

At present, the urinary albumin excretion rate is the best noninvasive predictor for diabetic nephropathy (DN) but major limitations are associated with this marker. Here, we used in vivo perfusion technology to establish disease progression markers in an animal model of DN. Rats were perfused with a reactive ester derivative of biotin at various times after streptozotocin treatment. Following homogenization of kidney tissue and affinity purification of biotinylated proteins, a label-free mass spectrometry-based proteomic analysis of tryptic digests identified and relatively quantified 396 proteins. Of these proteins, 24 and 11 were found to be more than 10-fold up- or downregulated, respectively, compared with the same procedure in vehicle-treated rats. Changes in the expression of selected differentially regulated proteins were validated by immunofluorescence detection in kidney tissue from control and diabetic rats. Immunoblot analysis of pooled human urine found that concentrations of vanin-1, an ectoenzyme pantetheinase, distinguished diabetic patients with macroalbuminuria from those with normal albuminuria. Uromodulin was elevated in the urine pools of the diabetic patients, regardless of the degree of albuminuria, compared with healthy controls. Thus, in vivo biotinylation facilitates the detection of disease-specific changes in the abundance of potential biomarker proteins for disease monitoring and/or pharmacodelivery applications.

Melanoma is one of the most immunogenic tumors, and extensive lists of potential tumor rejection antigens have been collected during the last decades. By isolating human leukocyte antigen (HLA) class I complexes from five melanoma cell lines (FM-82, FM-93/2, Mel-624, MeWo and SK-Mel-5) and sequencing HLA-eluted peptides by mass spectrometry, we identified over 10,000 unique peptides with high confidence. The majority of the peptides were 8–11 amino acids in length and were predicted to bind to the respective HLA alleles. Over 250 epitopes, corresponding to previously described tumor-associated antigens, were identified, suggesting that HLA peptidome analysis may facilitate the characterization of putative tumor rejection antigens. MeWo and SK-Mel-5 cell lines were further interrogated for neo-epitopes, revealing one peptide from MeWo cells carrying an amino acid mutation. We also observed a remarkable overlap between A*03:01 peptides eluted from Mel-624 cells and A*03:01 peptides recovered from soluble HLA complexes purified from two melanoma patients, shedding light on the similarity of the HLA peptidome in cell lines and in patient-derived material. The reliable characterization of the HLA class I peptidome in melanoma promises to facilitate the identification of tumor rejection antigens and the development of immunotherapeutic strategies.

Neoepitopes derived from intron retention events are processed and presented on MHC I in cancer cell lines.

Doc number: P46

Abstract Immunotherapies provide effective treatments for previously untreatable tumors, but the molecular determinants of response remain to be elucidated. Here, we describe a pipeline, ISOTOPE (ISOform-guided prediction of epiTOPEs In Cancer), for the comprehensive identification of cancer-specific splicing-derived epitopes. Using RNA sequencing and mass spectrometry for MHC-I associated proteins, ISOTOPE identified neoepitopes from cancer-specific splicing event types that are potentially presented by MHC-I complexes. We found that, in general, cancer-specific splicing alterations led more frequently to the depletion of potential self-antigens compared to the generation of neoepitopes. The potential loss of native epitopes was validated using MHC-I associated mass spectrometry from normal cells. Furthermore, analysis of two cohorts of melanoma patients with ISOTOPE identified that splicing-derived neoepitopes with higher MHC-I binding affinity associate with positive response to immune checkpoint blockade therapy. Additionally, we found a more frequent depletion of native epitopes in non-responders, suggesting a new mechanism of immune escape. Our analyses highlight the diversity of the immunogenic impacts of cancer-specific splicing alterations and the importance of studying splicing alterations to fully characterize the determinants of response to immunotherapies. ISOTOPE is available at https://github.com/comprna/ISOTOPE Competing Interest Statement The authors have declared no competing interest. Footnotes * Fixed the name for one of the authors * https://github.com/comprna/ISOTOPE

Personalized cancer vaccine strategies directed at tumor neoantigens derived from somatic mutations in the DNA are currently under prospective evaluation. Alterations in tumor RNA, rather than DNA, may also represent a previously-unexplored source of neoantigens. Here, we show that intron retention, a widespread feature of cancer transcriptomes, represents a novel source of tumor neoantigens. We developed an in silico approach to identify retained intron neoantigens from RNA sequencing data and applied this methodology to tumor samples from patients with melanoma treated with immune checkpoint blockade, discovering that the retained intron neoantigen burden in these samples augments the DNA-derived, somatic neoantigen burden. We validated the existence of retained intron derived neoantigens by implementing this technique on cancer cell lines with mass spectrometry-derived immunopeptidome data, revealing that retained intron neoantigens were complexed with MHC I experimentally. Unexpectedly, we observed a trend toward lack of clinical benefit from immune checkpoint blockade in high retained intron load-tumors, which harbored transcriptional signatures consistent with cell cycle dysregulation and DNA damage repair. Our results demonstrate the contribution of transcriptional dysregulation to the overall burden of tumor neoantigens, provide a foundation for augmenting personalized cancer vaccine development with a new class of tumor neoantigens, and demonstrate how global transcriptional dysregulation may impact selective response to immune checkpoint blockade.