Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

Bioinformatics analysis to identify the key genes affecting the progression and prognosis of hepatocellular carcinoma

31 Jan 2019

Abstract excerpt

Abstract Hepatocellular carcinoma (HCC) is the most frequent primary liver cancer, which has poor outcome. The present study aimed to investigate the key genes implicated in the progression and prognosis of HCC. The RNA-sequencing data of HCC was extracted from The Cancer Genome Atlas (TCGA) database. Using the R package (DESeq), the differentially expressed genes (DEGs) were analyzed. Based on the Cluepedia...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Ferroptosis and cancer prognosis
Share to Hepatocellular Carcinoma Treatment and Prognosis
Share to Liver Disease Diagnosis and Treatment

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Source

Identifiers

PMID: 30705088
DOI: 10.1042/bsr20181845

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Bioinformatics analysis to identify the key genes affecting the progression and prognosis of hepatocellular carcinomaPMID 30705088Read ↗

Bioinformatics identification of crucial genes and pathways associated with hepatocellular carcinomaSemantic proximity Read ↗

Identification of Key Genes and Evaluation of Their Prognosis Potential in Hepatocellular Carcinoma by Integrated Bioinformatics AnalysisSemantic proximity Read ↗

Six Genes Involved in Prognosis of Hepatocellular Carcinoma Identified by Cox Hazard RegressionSemantic proximity Read ↗

Deciphering the Molecular Complexity of Hepatocellular Carcinoma: Unveiling Novel Biomarkers and Therapeutic Targets Through Advanced Bioinformatics AnalysisSemantic proximity Read ↗

Transcriptome analysis revealed key prognostic genes and microRNAs in hepatocellular carcinomaSemantic proximity Read ↗

Identification of Key Genes and Prognostic Value Analysis in Hepatocellular Carcinoma by Integrated Bioinformatics AnalysisSemantic proximity Read ↗

Identification of differentially expressed genes in hepatocellular carcinoma by integrated bioinformatic analysisSemantic proximity Read ↗

Computational analysis for identification of early diagnostic biomarkers and prognostic biomarkers of liver cancer based on GEO and TCGA databases and studies on pathways and biological functions affecting the survival time of liver cancerSemantic proximity Read ↗

Revelation of critical genes and pathways involved in hepatocellular carcinoma (HCC) and phylogenetic tree construction of CDK1 protein family An integrated multi-omics bioinformatics analysisSemantic proximity Read ↗

Screening of Early Diagnostic Biomarkers and Prognostic Biomarkers for Liver Cancer Based on GEO and TCGA Databases and Studies on Pathways and Biological Functions Affecting the Survival Time of Liver CancerSemantic proximity Read ↗

CDK1, CCNB1, CDC20, BUB1, MAD2L1, MCM3, BUB1B, MCM2, and RFC4 May Be Potential Therapeutic Targets for Hepatocellular Carcinoma Using Integrated Bioinformatic AnalysisSemantic proximity Read ↗

Identification of novel potential biomarkers in hepatocarcinoma cancer; a transcriptome analysisSemantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.