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Keywords {🔍}

cancer, drg, cells, genes, hcc, patients, liver, pubmed, lcat, cell, article, score, expression, analysis, disulfidptosis, fig, immune, google, scholar, survival, cas, model, scores, cohort, central, drgs, high, hepatocellular, carcinoma, clusters, hub, disulfidptosisrelated, prognostic, tumor, data, patient, results, gene, group, microenvironment, death, drug, sensitivity, significantly, based, tcgalihc, additional, cluster, wang, nomogram,

Topics {✒️}

chemidox xrs + image-forming system proprotein-convertase-subtilisin-kexin type-9 icgc-liri-jp testing cohort icgc-liri-jp validation cohort icgc − liri-jp validation cohort $$\mathrm{drg scores}={\sum }_{ article download pdf time-dependent roc curves tnk2/ack1-mediated phosphorylation recombinant denv ns2b-ns3pro dna methylation-driven genes disulfidptosis-related prognostic model real-time pcr drg disulfidptosis-related gene icgc-liri-jp central south university including f-actin contraction single-cell analysis workflow disulfidptosis-related predictive nomogram central nervous system rt-pcr table s3 metabolism-related cell death drgs disulfidptosis-related genes full access drug-sensitivity predicative potentials kaplan–meier analysis showed shorter progression-free interval low-drg score group low-drg score groups disulfidptosis-regulated clusters based yongguang tao related hepatocellular carcinoma tcga-lihc cohort based 0 μm pore size copy number variation high-drg score groups late-stage breast cancer tcga-lihc training cohort kaplan–meier os curves related subjects privacy choices/manage cookies disulfide bond formation expression profile decision curve analysis lasso cox regression hepatocellular carcinoma based liver hepatocellular carcinoma tissue expression profiles selected lecithin-cholesterol acyltransferase disulfidptosis-related death

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         headline:Disulfidptosis-related signature predicts prognosis and characterizes the immune microenvironment in hepatocellular carcinoma
         description:Disulfidptosis is a type of programmed cell death caused by excessive cysteine-induced disulfide bond denaturation leading to actin collapse. Liver cancer has a poor prognosis and requires more effective intervention strategies. Currently, the prognostic and therapeutic value of disulfidptosis in liver cancer is not clear. We investigated the features of 16 disulfidptosis-related genes (DRGs) of HCC patients in the TCGA and classified the patients into two disulfidptosis pattern clusters by consensus clustering analysis. Then, we constructed a prognostic model using LASSO Cox regression. Next, the microenvironment and drug sensitivity were evaluated. Finally, we used qPCR and functional analysis to verify the reliability of hub DRGs. Most of the DRGs showed significantly higher expression in cancer tissues than in adjacent tissues. Our prognostic model, the DRG score, can well predict the survival of HCC patients. There were significant differences in survival, features of the microenvironment, effects of immunotherapy, and drug sensitivity between the high- and low-DRG score groups. Ultimately, we demonstrated that a few hub DRGs have differential mRNA expression between liver cancer cells and normal cells and that the protective gene LCAT can inhibit liver cancer metastasis in vitro. We established a novel risk model based on DRG scores to predict HCC patient prognosis, drug sensitivity and immunotherapy efficacy, which provides new insight into the relationship between disulfidptosis and HCC and provides valuable assistance for the personalized treatment of HCC.
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      headline:Disulfidptosis-related signature predicts prognosis and characterizes the immune microenvironment in hepatocellular carcinoma
      description:Disulfidptosis is a type of programmed cell death caused by excessive cysteine-induced disulfide bond denaturation leading to actin collapse. Liver cancer has a poor prognosis and requires more effective intervention strategies. Currently, the prognostic and therapeutic value of disulfidptosis in liver cancer is not clear. We investigated the features of 16 disulfidptosis-related genes (DRGs) of HCC patients in the TCGA and classified the patients into two disulfidptosis pattern clusters by consensus clustering analysis. Then, we constructed a prognostic model using LASSO Cox regression. Next, the microenvironment and drug sensitivity were evaluated. Finally, we used qPCR and functional analysis to verify the reliability of hub DRGs. Most of the DRGs showed significantly higher expression in cancer tissues than in adjacent tissues. Our prognostic model, the DRG score, can well predict the survival of HCC patients. There were significant differences in survival, features of the microenvironment, effects of immunotherapy, and drug sensitivity between the high- and low-DRG score groups. Ultimately, we demonstrated that a few hub DRGs have differential mRNA expression between liver cancer cells and normal cells and that the protective gene LCAT can inhibit liver cancer metastasis in vitro. We established a novel risk model based on DRG scores to predict HCC patient prognosis, drug sensitivity and immunotherapy efficacy, which provides new insight into the relationship between disulfidptosis and HCC and provides valuable assistance for the personalized treatment of HCC.
      datePublished:2024-01-09T00:00:00Z
      dateModified:2024-01-09T00:00:00Z
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         Disulfidptosis
         Hepatocellular carcinoma
         Immune microenvironment
         Prognostic model
         Cancer Research
         Cell Biology
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      name:Key Laboratory of Carcinogenesis and Cancer Invasion (Ministry of Education), NHC Key Laboratory of Carcinogenesis (Central South University), Cancer Research Institute and School of Basic Medicine, Central South University, Changsha, China
      name:Hunan Key Laboratory of Cancer Metabolism, Hunan Cancer Hospital and The Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha, China
      name:Department of Pathology, Xiangya Hospital, Central South University, Changsha, China
      name:Department of Oncology, Institute of Medical Sciences, National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China
      name:Key Laboratory of Carcinogenesis and Cancer Invasion (Ministry of Education), NHC Key Laboratory of Carcinogenesis (Central South University), Cancer Research Institute and School of Basic Medicine, Central South University, Changsha, China
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      name:Key Laboratory of Carcinogenesis and Cancer Invasion (Ministry of Education), NHC Key Laboratory of Carcinogenesis (Central South University), Cancer Research Institute and School of Basic Medicine, Central South University, Changsha, China
      name:Hunan Key Laboratory of Cancer Metabolism, Hunan Cancer Hospital and The Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha, China

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