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We are analyzing https://link.springer.com/article/10.1186/s13073-019-0636-8.

Title:
Multi-omics discovery of exome-derived neoantigens in hepatocellular carcinoma | Genome Medicine
Description:
Background Although mutated HLA ligands are considered ideal cancer-specific immunotherapy targets, evidence for their presentation is lacking in hepatocellular carcinomas (HCCs). Employing a unique multi-omics approach comprising a neoepitope identification pipeline, we assessed exome-derived mutations naturally presented as HLA class I ligands in HCCs. Methods In-depth multi-omics analyses included whole exome and transcriptome sequencing to define individual patient-specific search spaces of neoepitope candidates. Evidence for the natural presentation of mutated HLA ligands was investigated through an in silico pipeline integrating proteome and HLA ligandome profiling data. Results The approach was successfully validated in a state-of-the-art dataset from malignant melanoma, and despite multi-omics evidence for somatic mutations, mutated naturally presented HLA ligands remained elusive in HCCs. An analysis of extensive cancer datasets confirmed fundamental differences of tumor mutational burden in HCC and malignant melanoma, challenging the notion that exome-derived mutations contribute relevantly to the expectable neoepitope pool in malignancies with only few mutations. Conclusions This study suggests that exome-derived mutated HLA ligands appear to be rarely presented in HCCs, inter alia resulting from a low mutational burden as compared to other malignancies such as malignant melanoma. Our results therefore demand widening the target scope for personalized immunotherapy beyond this limited range of mutated neoepitopes, particularly for malignancies with similar or lower mutational burden.
Website Age:
28 years and 1 months (reg. 1997-05-29).

Matching Content Categories {📚}

  • Education
  • Science
  • Health & Fitness

Content Management System {📝}

What CMS is link.springer.com built with?

Custom-built

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Traffic Estimate {📈}

What is the average monthly size of link.springer.com audience?

🌠 Phenomenal Traffic: 5M - 10M visitors per month


Based on our best estimate, this website will receive around 5,000,019 visitors per month in the current month.
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How Does Link.springer.com Make Money? {💸}

We find it hard to spot revenue streams.

Not all websites focus on profit; some are designed to educate, connect people, or share useful tools. People create websites for numerous reasons. And this could be one such example. Link.springer.com has a secret sauce for making money, but we can't detect it yet.

Keywords {🔍}

pubmed, hla, google, scholar, hcc, cas, cancer, mel, central, data, pne, additional, tübingen, mutated, ligands, tumor, table, analysis, evidence, patients, peptides, file, peptide, database, varns, class, nelig, mutations, variants, level, dataset, liver, germany, somatic, hccs, proteome, neoepitopes, numbers, mass, nonmalignant, protein, ligandome, predicted, samples, fig, hepatocellular, previously, gene, average, university,

Topics {✒️}

org/content/disease/lung-cancer/pik3ca/7/ hans-georg rammensee analysis-ready rna-seq datasets t-cell-dependent mechanism bulk multi-omics analysis mass spectrometry-based proteomics vaccine induced afp-specific hhla2 activates c-met anti-epidermal growth factor multi-allelic hla class boxplots show means ± sd semi-random sampling inherent tumor-derived raw files targetable tumor-specific antigens open-source software library data-driven biomedical research full size image coomassie-stained gel pieces tailored neoantigen-targeted immunotherapies uhplc-coupled ms/ms tumor-specific mutations presented afp-positive hepatocellular cancer wild-type peptide sequence wild-type sequence peptide wild-type hla ligands protein n-terminal acetylation heavy isotope-labeled peptides reproducible rna-seq analysis easylc nano-hplc system combining mass spectrometry pathway-based data integration proteome-wide protein quantification lc-ms/ms instrumentation personal tumor-specific neoantigens showed hla-binding properties quantitative biology center lc-ms/ms analysis multi-omics discovery long-term survival data identifier lc-ms/ms lc-ms data analysis biochemical large-scale identification peptide search space van buuren mm t-cell epitopes mutation-derived hla ligands hla ligandomics yields hla ligandomics data precision cancer medicine immunotherapy search search

Questions {❓}

  • Predicting antigen presentation-what could we learn from a million peptides?

Schema {🗺️}

WebPage:
      mainEntity:
         headline:Multi-omics discovery of exome-derived neoantigens in hepatocellular carcinoma
         description:Although mutated HLA ligands are considered ideal cancer-specific immunotherapy targets, evidence for their presentation is lacking in hepatocellular carcinomas (HCCs). Employing a unique multi-omics approach comprising a neoepitope identification pipeline, we assessed exome-derived mutations naturally presented as HLA class I ligands in HCCs. In-depth multi-omics analyses included whole exome and transcriptome sequencing to define individual patient-specific search spaces of neoepitope candidates. Evidence for the natural presentation of mutated HLA ligands was investigated through an in silico pipeline integrating proteome and HLA ligandome profiling data. The approach was successfully validated in a state-of-the-art dataset from malignant melanoma, and despite multi-omics evidence for somatic mutations, mutated naturally presented HLA ligands remained elusive in HCCs. An analysis of extensive cancer datasets confirmed fundamental differences of tumor mutational burden in HCC and malignant melanoma, challenging the notion that exome-derived mutations contribute relevantly to the expectable neoepitope pool in malignancies with only few mutations. This study suggests that exome-derived mutated HLA ligands appear to be rarely presented in HCCs, inter alia resulting from a low mutational burden as compared to other malignancies such as malignant melanoma. Our results therefore demand widening the target scope for personalized immunotherapy beyond this limited range of mutated neoepitopes, particularly for malignancies with similar or lower mutational burden.
         datePublished:2019-04-30T00:00:00Z
         dateModified:2019-04-30T00:00:00Z
         pageStart:1
         pageEnd:16
         license:http://creativecommons.org/publicdomain/zero/1.0/
         sameAs:https://doi.org/10.1186/s13073-019-0636-8
         keywords:
            Hepatocellular carcinoma
            HLA
            HLA ligandomics
            Immunoinformatics
            Immunotherapy
            Liver cancer
            Mass spectrometry
            Multi-omics
            Neoantigen
            Next-generation sequencing
            Peptide prediction
            Personalized medicine
            Human Genetics
            Metabolomics
            Bioinformatics
            Medicine/Public Health
            general
            Cancer Research
            Systems Biology
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         isPartOf:
            name:Genome Medicine
            issn:
               1756-994X
            volumeNumber:11
            type:
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         publisher:
            name:BioMed Central
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               name:Markus W. Löffler
               url:http://orcid.org/0000-0003-2513-1317
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ScholarlyArticle:
      headline:Multi-omics discovery of exome-derived neoantigens in hepatocellular carcinoma
      description:Although mutated HLA ligands are considered ideal cancer-specific immunotherapy targets, evidence for their presentation is lacking in hepatocellular carcinomas (HCCs). Employing a unique multi-omics approach comprising a neoepitope identification pipeline, we assessed exome-derived mutations naturally presented as HLA class I ligands in HCCs. In-depth multi-omics analyses included whole exome and transcriptome sequencing to define individual patient-specific search spaces of neoepitope candidates. Evidence for the natural presentation of mutated HLA ligands was investigated through an in silico pipeline integrating proteome and HLA ligandome profiling data. The approach was successfully validated in a state-of-the-art dataset from malignant melanoma, and despite multi-omics evidence for somatic mutations, mutated naturally presented HLA ligands remained elusive in HCCs. An analysis of extensive cancer datasets confirmed fundamental differences of tumor mutational burden in HCC and malignant melanoma, challenging the notion that exome-derived mutations contribute relevantly to the expectable neoepitope pool in malignancies with only few mutations. This study suggests that exome-derived mutated HLA ligands appear to be rarely presented in HCCs, inter alia resulting from a low mutational burden as compared to other malignancies such as malignant melanoma. Our results therefore demand widening the target scope for personalized immunotherapy beyond this limited range of mutated neoepitopes, particularly for malignancies with similar or lower mutational burden.
      datePublished:2019-04-30T00:00:00Z
      dateModified:2019-04-30T00:00:00Z
      pageStart:1
      pageEnd:16
      license:http://creativecommons.org/publicdomain/zero/1.0/
      sameAs:https://doi.org/10.1186/s13073-019-0636-8
      keywords:
         Hepatocellular carcinoma
         HLA
         HLA ligandomics
         Immunoinformatics
         Immunotherapy
         Liver cancer
         Mass spectrometry
         Multi-omics
         Neoantigen
         Next-generation sequencing
         Peptide prediction
         Personalized medicine
         Human Genetics
         Metabolomics
         Bioinformatics
         Medicine/Public Health
         general
         Cancer Research
         Systems Biology
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      name:Department of General, Visceral and Transplant Surgery, University Hospital Tübingen, Tübingen, Germany
      name:German Cancer Consortium (DKTK) and German Cancer Research Center (DKFZ) Partner Site Tübingen, Tübingen, Germany
      name:Interfaculty Institute for Cell Biology, Department of Immunology, University of Tübingen, Tübingen, Germany
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