A Lactic Acid Metabolism-Related Gene Signature for Predicting Clinical Outcome and Tumor Microenvironmental Status in Patients with Hepatocellular Carcinoma.

This study aims to build a prognostic model based on lactic acid metabolism-related genes (LMRGs) to predict survival outcomes and tumor microenvironment status of Hepatocellular carcinoma (HCC) patients. The model was used to calculate riskscores of clinical samples. Survival analysis and Cox regre...

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Publicado en:Nutrition & Cancer Vol. 76; no. 3; pp. 279 - 296
Autores principales: Zhou, Zhongcheng, Wu, Bin, Chen, Jing, Shen, Yiyu, Wang, Jing, Chen, Xujian, Fei, Faming, Zhu, Mingyuan
Formato: pictorial research tables/charts Journal Article
Publicado: Taylor & Francis Ltd 2024
Acceso en línea:Ver este registro en EBSCOhost
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      dt: 2024
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      pub: Taylor & Francis Ltd
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        10.1080/01635581.2024.2302202
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        atl: A Lactic Acid Metabolism-Related Gene Signature for Predicting Clinical Outcome and Tumor Microenvironmental Status in Patients with Hepatocellular Carcinoma.
      aug:
        au:
          Zhou, Zhongcheng
          Wu, Bin
          Chen, Jing
          Shen, Yiyu
          Wang, Jing
          Chen, Xujian
          Fei, Faming
          Zhu, Mingyuan
        affil: Department of Hepatobiliary Surgery, The Second Affiliated Hospital of Jiaxing University, Jiaxing, Zhejiang Province, China
      sug:
        subj:
          Carcinoma, Hepatocellular Prognosis
          Cell Physiology
          Treatment Outcomes
          Lactic Acid Metabolism
          Gene Expression Profiling
          Prediction Models
          Tumor Markers, Biological
          Human
          Cancer Patients
          Risk Assessment
          Survival Analysis
          Cox Proportional Hazards Model
          Mutation
          Immunity
          Homeostasis
          Signal Transduction
          Overall Survival
          Funding Source
      ab: This study aims to build a prognostic model based on lactic acid metabolism-related genes (LMRGs) to predict survival outcomes and tumor microenvironment status of Hepatocellular carcinoma (HCC) patients. The model was used to calculate riskscores of clinical samples. Survival analysis and Cox regression analysis were conducted to verify the independence and reliability of the riskscore to determine its clinical significance in prognosis evaluation of HCC. Additionally, we conducted a comprehensive analysis of tumor mutation burden (TMB), immune cell infiltration, and gene set molecular function in the high- and low-risk groups. We obtained 134 LMRGs mainly involved in cellular calcium homeostasis and calcium signaling pathways. The LMRGs in the risk assessment model included PFKFB4, SLC16A3, ADRA2B, SLC22A1, QRFPR, and PROK1. This study discovered much shorter overall survival and median survival time of patients with higher riskscores when compared to those with lower riskscores. It was indicated that for independent prediction of patients' prognosis, the riskscore had a significant clinical value. A remarkable difference was also found regarding TMB between the two groups. Finally, cell experiments demonstrated that the knockout of PFKFB4 and SLC16A3 genes suppressed lactate. Our research demonstrated that the riskscore, established based on LMRGs, is a promising biomarker.
      pubtype: Academic Journal
      doctype:
        pictorial
        research
        tables/charts
        Journal Article
      ougenre: Article
    language: English
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