Back to search

Article

A Nomogram For Predicting HCC Patients’ Overall Survival Based On Double Hub Genes and Other Clinical Risk Factors.

2021-11-09

Abstract excerpt

<title>Abstract</title> <p><bold>Background</bold>: Hepatocellular carcinoma (HCC) is one of the series malignant aggressive disease which shows elusive biological behavior and terrible prognosis. It is inadequate for the single evaluation system such as tumor-node-metastasis (TNM) staging system to predict the overall survival (OS) in HCC patients. Here, we conducted this study to identify prognosis-related gene...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
160f434f-9e19-5dc4-856a-5b191b6275b5
DOI
10.21203/rs.3.rs-1035865/v1
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
A Nomogram For Predicting HCC Patients’ Overall Survival Based On Double Hub Genes and Other Clinical Risk Factors.DOI 10.21203/rs.3.rs-1035865/v1
Six Genes Involved in Prognosis of Hepatocellular Carcinoma Identified by Cox Hazard RegressionSemantic proximity
Identification of Five Hub Genes as Key Prognostic Biomarkers in Liver Cancer via Integrated Bioinformatics AnalysisSemantic proximity
Identification of a Novel Four-Gene Signature Correlated With the Prognosis of Patients With Hepatocellular Carcinoma: A Comprehensive AnalysisSemantic proximity
Identification of Potential Hub Genes Related to Diagnosis and Prognosis of Hepatitis B Virus‐Related Hepatocellular Carcinoma via Integrated Bioinformatics AnalysisSemantic proximity
Identification of Key Genes and Prognostic Value Analysis in Hepatocellular Carcinoma by Integrated Bioinformatics AnalysisSemantic proximity
Identification of 13 Key Genes Correlated With Progression and Prognosis in Hepatocellular Carcinoma by Weighted Gene Co-expression Network AnalysisSemantic proximity
Identification and Validation of Real Hub Genes in Hepatocellular Carcinoma Based on Weighted Gene Co-expression Network AnalysisSemantic proximity
Identification of novel potential biomarkers in hepatocarcinoma cancer; a transcriptome analysisSemantic proximity
Identification of potential hub genes associated with the pathogenesis and prognosis of hepatocellular carcinoma via integrated bioinformatics analysisSemantic proximity
A 4‐gene prognostic signature predicting survival in hepatocellular carcinomaSemantic proximity
Identifying Potential Prognostic Biomarkers Associated With Clinicopathologic Characteristics of Hepatocellular Carcinoma by Bioinformatics AnalysisSemantic proximity
Identification of hub genes associated with HCV-related HCC progression based on risk score modelSemantic proximity
Select a neighboring publication to make it the new centre.