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article page journal recurrence-free survival based authors scientific editing privacy choices/manage cookies differentially expressed proteins bmc recurrence-free survival european economic area noncancerous liver tissues benjamini–hochberg adjusted kaplan–meier curves kruskal–wallis test random permutation test log-rank test metabolic pathway activities state privacy rights accepting optional cookies 1756-8722 contact manage preferences personal data optional cookies usage analysis exact test data protection essential cookies cookies skip account journal metabolic heterogeneity proteomic subgroups cookies policy privacy policy privacy statement social media varying standards samples included clinicopathologic relevance significant values early relapse tnm stages p62 protein gsea results tumor thrombus general enquiries preference centre springer nature tree subgroups s3 subgroups content left panel patients diagnosed

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         headline:Integrated proteogenomic analysis revealed the metabolic heterogeneity in noncancerous liver tissues of patients with hepatocellular carcinoma
         description:Understanding the adjacent liver microenvironment of hepatocellular carcinoma (HCC) with possible metastasis tendency might provide a strategy for risk classification of patients and potential therapies by converting the unique metastasis-inclined microenvironment to a metastasis-averse one. In this study, we performed an integrated proteogenomic analysis to have a comprehensive view on the heterogeneity of hepatic microenvironment contributing to HCC metastasis. Pairing mRNA-protein analysis revealed consistent and discordant mRNA-protein expressions in metabolism regulations and cancer-related pathways, respectively. Proteomic profiling identified three subgroups associated with the recurrence-free survival of patients. These proteomic subgroups demonstrated distinct features in metabolic reprogramming, which was potentially modified by epigenetic alterations. This study raises the point of metabolic heterogeneity in HCC noncancerous tissues and may offer a new perspective on HCC treatment.
         datePublished:2021-12-11T00:00:00Z
         dateModified:2021-12-11T00:00:00Z
         pageStart:1
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            Hepatocellular carcinoma
            Proteogenomic
            Metabolism
            Liver microenvironment
            Oncology
            Hematology
            Cancer Research
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                     address:
                        name:Department of Liver Surgery and Liver Transplantation, State Key Laboratory of Biotherapy and Cancer Center, West China Hospital, Sichuan University and Collaborative Innovation Center of Biotherapy, Chengdu, China
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ScholarlyArticle:
      headline:Integrated proteogenomic analysis revealed the metabolic heterogeneity in noncancerous liver tissues of patients with hepatocellular carcinoma
      description:Understanding the adjacent liver microenvironment of hepatocellular carcinoma (HCC) with possible metastasis tendency might provide a strategy for risk classification of patients and potential therapies by converting the unique metastasis-inclined microenvironment to a metastasis-averse one. In this study, we performed an integrated proteogenomic analysis to have a comprehensive view on the heterogeneity of hepatic microenvironment contributing to HCC metastasis. Pairing mRNA-protein analysis revealed consistent and discordant mRNA-protein expressions in metabolism regulations and cancer-related pathways, respectively. Proteomic profiling identified three subgroups associated with the recurrence-free survival of patients. These proteomic subgroups demonstrated distinct features in metabolic reprogramming, which was potentially modified by epigenetic alterations. This study raises the point of metabolic heterogeneity in HCC noncancerous tissues and may offer a new perspective on HCC treatment.
      datePublished:2021-12-11T00:00:00Z
      dateModified:2021-12-11T00:00:00Z
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         Hepatocellular carcinoma
         Proteogenomic
         Metabolism
         Liver microenvironment
         Oncology
         Hematology
         Cancer Research
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      author:
            name:Haotian Liao
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            name:Kefei Yuan
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                  name:Sichuan University and Collaborative Innovation Center of Biotherapy
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      name:Department of Liver Surgery and Liver Transplantation, State Key Laboratory of Biotherapy and Cancer Center, West China Hospital, Sichuan University and Collaborative Innovation Center of Biotherapy, Chengdu, China
      name:Department of Liver Surgery and Liver Transplantation, State Key Laboratory of Biotherapy and Cancer Center, West China Hospital, Sichuan University and Collaborative Innovation Center of Biotherapy, Chengdu, China
      name:Department of Liver Surgery and Liver Transplantation, State Key Laboratory of Biotherapy and Cancer Center, West China Hospital, Sichuan University and Collaborative Innovation Center of Biotherapy, Chengdu, China
      name:School of Computer Science, Northwestern Polytechnical University, Xi’an, China
      name:Key Laboratory of Big Data Storage and Management, Northwestern Polytechnical University, Ministry of Industry and Information Technology, Xi’an, China
      name:Laboratory of Pathology, Department of Pathology, West China Hospital, Sichuan University, Chengdu, China
      name:Department of Liver Surgery and Liver Transplantation, State Key Laboratory of Biotherapy and Cancer Center, West China Hospital, Sichuan University and Collaborative Innovation Center of Biotherapy, Chengdu, China
      name:Department of Liver Surgery and Liver Transplantation, State Key Laboratory of Biotherapy and Cancer Center, West China Hospital, Sichuan University and Collaborative Innovation Center of Biotherapy, Chengdu, China

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