Literature DB >> 29115664

Four differentially methylated gene pairs to predict the prognosis for early stage hepatocellular carcinoma patients.

Shaoguang Liu1, Changfeng Miao2, Juan Liu3, Chang-Cheng Wang4, Xiao-Jie Lu5.   

Abstract

Hepatocellular carcinoma (HCC) was the second most common malignant tumor with a poor prognostic condition. We aimed to identify novel methylation signatures to predict HCC patients at their early stages. Differentially expressed methylated genes between HCC patients and normal liver tissues retrieved from TCGA were screened out by SAM. Genes highly related to patients' survival were figured out by COX. The signatures that could identify relapse HCC patients were identified by the forwarding search algorithm. Besides, functional enrichment analysis was performed on the methylation genes in the signature. A total of 5,392 CPG sites that differentially methylated expressed were found out and 4,294 differentially expressed genes were obtained. A total of 197 genes among were associated with RFS of HCC patients at both stage I and stage II. Signature composed of 21 pairs was obtained to predict the prognostic situation by C-index forward search method. The function of these genes was figured out by functional enrichment analysis. To summary, the signature composed of 21 gene pairs that can predict the prognostic situation of HCC patients at both stage I and stage II, provided a reference standard for the adjuvant therapy of HCC patients after surgery.
© 2017 Wiley Periodicals, Inc.

Entities:  

Keywords:  RFS; differentially expressed methylation genes; hepatocellular carcinoma; survival

Mesh:

Year:  2018        PMID: 29115664     DOI: 10.1002/jcp.26256

Source DB:  PubMed          Journal:  J Cell Physiol        ISSN: 0021-9541            Impact factor:   6.384


  10 in total

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3.  A four-methylated mRNA signature-based risk score system predicts survival in patients with hepatocellular carcinoma.

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4.  A Nomogram Based on a Three-Gene Signature Derived from AATF Coexpressed Genes Predicts Overall Survival of Hepatocellular Carcinoma Patients.

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7.  Identification of a thirteen-gene signature predicting overall survival for hepatocellular carcinoma.

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Journal:  PeerJ       Date:  2021-04-28       Impact factor: 2.984

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10.  Immune-associated molecular occurrence and prognosis predictor of hepatocellular carcinoma: an integrated analysis of GEO datasets.

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  10 in total

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