Alterations in HLA Class I-Presented Immunopeptidome and Class I-Interactome upon Osimertinib Resistance in EGFR Mutant Lung Adenocarcinoma.
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ABSTRACT:
SUBMITTER: Qi YA
PROVIDER: S-EPMC8507780 | biostudies-literature |
REPOSITORIES: biostudies-literature
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Project description:Immune checkpoint inhibitors and adoptive lymphocyte transfer-based therapies have shown great therapeutic potential in cancers with high tumor mutational burden (TMB), such as melanoma, but not in cancers with low TMB, such as mutant epidermal growth factor receptor (EGFR)-driven lung adenocarcinoma. Precision immunotherapy is an unmet need for most cancers, particularly for cancers that respond inadequately to immune checkpoint inhibitors. Here, we employed large-scale MS-based proteogenomic profiling to identify potential immunogenic human leukocyte antigen (HLA) class I-presented peptides in melanoma and EGFR-mutant lung adenocarcinoma. Similar numbers of peptides were identified from both tumor types. Cell line and patient-specific databases (DBs) were constructed using variants identified from whole-exome sequencing. A de novo search algorithm was used to interrogate the HLA class I immunopeptidome MS data. We identified 12 variant peptides and several classes of tumor-associated antigen-derived peptides. We constructed a cancer germ line (CG) antigen DB with 285 antigens. This allowed us to identify 40 class I-presented CG antigen-derived peptides. The class I immunopeptidome comprised more than 1000 post-translationally modified (PTM) peptides representing 58 different PTMs, underscoring the critical role PTMs may play in HLA binding. Finally, leveraging de novo search algorithm and an annotated long noncoding RNA (lncRNA) DB, we developed a novel lncRNA-encoded peptide discovery pipeline to identify 44 lncRNA-derived peptides that are presented by class I. We validated tandem MS spectra of select variant, CG antigen, and lncRNA-derived peptides using synthetic peptides and performed HLA class I-binding assays to demonstrate binding to class I proteins. In summary, we provide direct evidence of HLA class I presentation of a large number of variant and tumor-associated peptides in both low and high TMB cancer. These results can potentially be useful for precision immunotherapies, such as vaccine or adoptive cell therapies in melanoma and EGFR-mutant lung cancers.
| S-EPMC8724932 | biostudies-literature
Project description:Immune checkpoint inhibitor and adoptive lymphocyte transfer-based therapies have shown great therapeutic potential for cancers with high tumor mutation burden (TMB). Here, we employed mass spectrometry (MS)-based proteogenomic large-scale profiling to identify potential immunogenic human leukocyte antigen (HLA) Class ǀ-presented peptides in both melanoma, a “hot tumor” with high TMB, and EGFR mutant lung adenocarcinoma, a “cold tumor” with low TMB. We used cell line and patient-specific databases constructed using variants identified from whole-exome sequencing, as well as a de novo search algorithm from the PEAKS search algorithm to interrogate the mass spectrometry data of the Class I immunopeptidome. We identified 12 mutant neoantigens. Several classes of tumor-associated antigen-derived peptides were also identified. We constructed a cancer germline (CG) antigen database with 285 antigens and identified 42 Class I-presented CG antigens. We identified more than 1000 post-translationally modified (PTM) peptides representing 58 different PTMs. Our results suggest that PTMs play a critical role impacting HLA-binding affinity dramatically. Finally, leveraging de novo search and an annotated lncRNA database, we developed a novel non-canonical peptide discovery pipeline to identify 44 lncRNA-derived peptides that are presented by Class I. We validated MS/MS spectra of select peptides using synthetic peptides and performed HLA Class I binding assays to demonstrate binding of select neo-peptides and lncRNA-derived peptides to Class I proteins. In summary, we provide direct evidence of HLA Class I presentation of a large number of mutant and tumor-associated peptides for potential use as vaccine or adoptive cell therapy in melanoma and EGFR mutant lung cancer.
2021-08-23 | PXD022949 | Pride
Project description:The human leukocyte antigen (HLA)-bound viral antigens serve as an immunological signature that can be selectively recognized by T cells. As viruses evolve by acquiring mutations, it is essential to identify a range of presented viral antigens. Using HLA peptidomics, we are able to identify severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)-derived peptides presented by highly prevalent HLA class I (HLA-I) molecules by using infected cells as well as overexpression of SARS-CoV-2 genes. We find 26 HLA-I peptides and 36 HLA class II (HLA-II) peptides. Among the identified peptides, some are shared between different cells and some are derived from out-of-frame open reading frames (ORFs). Seven of these peptides were previously shown to be immunogenic, and we identify two additional immunoreactive peptides by using HLA multimer staining. These results may aid the development of the next generation of SARS-CoV-2 vaccines based on presented viral-specific antigens that span several of the viral genes.
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Project description:IntroductionCancer-associated mutations have the potential to generate neoantigens and elicit CD8-positive T-cell-dependent adaptive immune responses. There are currently no reports of CD8-positive T-cells with specificity for neoepitopes generated by EGFR mutations, which are driver oncogenes in a subset of patients with lung cancer.MethodsWe used NETMHCpan 4.0 to identify putative protective human leukocyte antigen (HLA) class I allotypes that are predicted in silico to bind and present mutant EGFR-generated peptides on the basis of predefined criteria. We associated the presence or absence of these alleles with clinical outcomes in patients from The Cancer Genome Atlas with lung adenocarcinoma.ResultsWe identified 12 HLA class I alleles that fulfilled the predefined criteria for being protective for EGFR p.L858R and six for EGFR p.E746_A750del, the two most common EGFR mutations in lung cancer. We validated the in silico predictions for peptide-HLA allele binding in vitro. A third (12 of 36) of patients with mostly early stage lung adenocarcinoma in The Cancer Genome Atlas with either EGFR p.L858R or EGFR p.E746_A750del had at least one protective allele in their host genomes. More importantly, patients with protective alleles exhibited better disease-free (hazard ratio: 0.20, 95% confidence interval: 0.05-0.78) and overall survival (hazard ratio: 0.13, 95% confidence interval: 0.02-0.64), and this effect was independent of the EGFR mutation type, stage, age, and sex.ConclusionsOur data revealed that clinical outcomes were improved in patients with EGFR mutation-positive lung adenocarcinoma who harbored protective HLA class I alleles. Thus, immunity with specificity for mutant EGFR is possible in a subset of patients with early stage lung cancer and portends a better prognosis.
| S-EPMC7797166 | biostudies-literature
Project description:The discovery of activating mutations in epidermal growth factor receptor (EGFR) in non-small-cell lung cancer transformed the care and prognosis of patients and heralded the era of 'personalized medicine' in thoracic oncology. Osimertinib, a third-generation EGFR inhibitor, has been established as the preferred EGFR inhibitor for newly diagnosed patients which urged the need to develop treatment options for patients progressing on first-line osimertinib. However, acquired resistance invariably emerges and numerous efforts have been attempted to delay or overcome acquired resistance. In this article, we thoroughly reviewed the current understanding of osimertinib resistance mechanisms and explored the established and emerging treatment options. Newer treatment strategies targeting EGFR-dependent or -independent resistance mechanisms, novel approaches using bispecific antibodies and antibody-drug conjugates will be discussed. Moreover, what to do with brain only progression, and how to incorporate immunotherapy in EGFR-mutant lung cancer will be discussed. Lastly, future perspectives on the ongoing clinical trials and combination of front-line therapy will be introduced.
| S-EPMC9761802 | biostudies-literature
Project description:Seeking to identify HLA class I peptides that originate from vaccinia virus proteins to understand the mechanism of immune protection. Note that vaccinia-infected B cells will still continue to present (primarily) a wide variety of peptides originating from endogenous proteins; this data set contains evidence for more than 5000 such peptides. The objective and challenge is to detect and identify the peptides that originate from the pathogen (vaccinia virus) in the presence (background) of this large number of endogensous 'self' peptides. Keywords: Peptide search results from multiple injections of multiple strong cation exchange fractions combined into one set of results.
2009-08-31 | GSE10549 | GEO
Project description:BackgroundStudies of targeted therapy resistance in lung cancer have primarily focused on single-gene alterations. Based on prior work implicating apolipoprotein b mRNA-editing enzyme, catalytic polypeptide-like (APOBEC) mutagenesis in histological transformation of epidermal growth factor receptor (EGFR)-mutant lung cancers, we hypothesized that mutational signature analysis may help elucidate acquired resistance to targeted therapies.Patients and methodsAPOBEC mutational signatures derived from an Food and Drug Administration-cleared multigene panel [Memorial Sloan Kettering Cancer Center Integrated Mutation Profiling of Actionable Cancer Targets (MSK-IMPACT)] using the Signature Multivariate Analysis (SigMA) algorithm were validated against the gold standard of mutational signatures derived from whole-exome sequencing. Mutational signatures were decomposed in 3276 unique lung adenocarcinomas (LUADs), including 93 paired osimertinib-naïve and -resistant EGFR-mutant tumors. Associations between APOBEC and mechanisms of resistance to osimertinib were investigated. Whole-genome sequencing was carried out on available EGFR-mutant lung cancer samples (10 paired, 17 unpaired) to investigate large-scale genomic alterations potentially contributing to osimertinib resistance.ResultsAPOBEC mutational signatures were more frequent in receptor tyrosine kinase (RTK)-driven lung cancers (EGFR, ALK, RET, and ROS1; 25%) compared to LUADs at large (20%, P < 0.001); across all subtypes, APOBEC mutational signatures were enriched in subclonal mutations (P < 0.001). In EGFR-mutant lung cancers, osimertinib-resistant samples more frequently displayed an APOBEC-dominant mutational signature compared to osimertinib-naïve samples (28% versus 14%, P = 0.03). Specifically, mutations detected in osimertinib-resistant tumors but not in pre-treatment samples significantly more frequently displayed an APOBEC-dominant mutational signature (44% versus 23%, P < 0.001). EGFR-mutant samples with APOBEC-dominant signatures had enrichment of large-scale genomic rearrangements (P = 0.01) and kataegis (P = 0.03) in areas of APOBEC mutagenesis.ConclusionsAPOBEC mutational signatures are frequent in RTK-driven LUADs and increase under the selective pressure of osimertinib in EGFR-mutant lung cancer. APOBEC mutational signature enrichment in subclonal mutations, private mutations acquired after osimertinib treatment, and areas of large-scale genomic rearrangements highlights a potentially fundamental role for APOBEC mutagenesis in the development of resistance to targeted therapies, which may be potentially exploited to overcome such resistance.
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Project description:BackgroundThe functional integrity of human leukocyte antigen low expression variants is a prerequisite for considering them as essential in the matching process of hematopoietic stem cell donors and recipients to diminish the risk of serious complications such as graft-versus-host disease or graft rejection. The HLA-A*3014L variant has a disulfide bridge missing in the alpha2 domain which could affect peptide binding and presentation to T cells.Design and methodsHLA-A*3014L and HLA-A*3001 were expressed as truncated variants and peptides were eluted and subjected to pool sequencing by Edman degradation as well as to single-peptide sequencing by mass spectrometry. Quantitative analysis of binding peptides presented in vivo was performed by a flow cytometric peptide-binding assay using HLA-A*3001 and HLA-A*3014L-expressing B-LCLs.ResultsThe truncated HLA-A*3014L protein was secreted in the supernatant and it was possible to elute and sequence peptides. Sequence analysis of these eluted peptides revealed no relevant differences to the peptide motif of HLA-A*3001, indicating that the Cys164Ser substitution does not substantially alter the spectrum of presented peptides. Strong binding of one of the shared in vivo identified HLA-A*3001/3014L ligands was confirmed in the peptide-binding assay.ConclusionsThis study is the first to demonstrate that HLA low expression variants are able to present peptides and, thus, can be considered as functionally active. When comparing peptide motifs, it is likely that HLA-A*3014L and HLA-A*3001 represent a permissive mismatch with low allogenicity in hematopoietic stem cell transplantation. These results indicate that surface expression, as well as peptide-binding data of HLA variants with similar disulfide bridge variations (e.g. HLA-A*3211Q) need to be considered as functionally active in an allogeneic hematopoietic stem cell transplantation setting as long as the opposite has not been shown. Otherwise a relevant but not considered HLA mismatch could result in a severe allogeneic T-cell response and graft-versus-host disease.
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Project description:Mutations in oncogenes and tumor suppressor genes engender unique metabolic phenotypes crucial to the survival of tumor cells. EGFR signaling has been linked to the rewiring of tumor metabolism in non-small cell lung cancer (NSCLC). We have integrated the use of a functional genomics screen and metabolomics to identify metabolic vulnerabilities induced by EGFR inhibition. These studies reveal that following EGFR inhibition, EGFR-driven NSCLC cells become dependent on the urea cycle and, in particular, the urea cycle enzyme CPS1. Combining knockdown of CPS1 with EGFR inhibition further reduces cell proliferation and impedes cell-cycle progression. Profiling of the metabolome demonstrates that suppression of CPS1 potentiates the effects of EGFR inhibition on central carbon metabolism, pyrimidine biosynthesis, and arginine metabolism, coinciding with reduced glycolysis and mitochondrial respiration. We show that EGFR inhibition and CPS1 knockdown lead to a decrease in arginine levels and pyrimidine derivatives, and the addition of exogenous pyrimidines partially rescues the impairment in cell growth. Finally, we show that high expression of CPS1 in lung adenocarcinomas correlated with worse patient prognosis in publicly available databases. These data collectively reveal that NSCLC cells have a greater dependency on the urea cycle to sustain central carbon metabolism, pyrimidine biosynthesis, and arginine metabolism to meet cellular energetics upon inhibition of EGFR. IMPLICATIONS: Our results reveal that the urea cycle may be a novel metabolic vulnerability in the context of EGFR inhibition, providing an opportunity to develop rational combination therapies with EGFR inhibitors for the treatment of EGFR-driven NSCLC.
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