Back to search

Article

Integrative multi-omics approach for stratification of tumor recurrence risk groups of Hepatocellular Carcinoma patients

2021-03-04

Abstract excerpt

Postoperative tumor recurrence is one of the major concerns associated with the poor prognosis of HCC patients. There is yet to elucidate a standard surveillance system for HCC recurrence risk owing to complexity of this malignancy. Generation of multi-omics data from patients facilitate the identification of robust signatures for various diseases. Thus, the current study is an attempt to develop the prognostic mo...

Topics

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

Identifiers and source

Literature Corpus work
ab853927-36bf-5936-8801-cb90bf1c7a4a
DOI
10.1101/2021.03.03.433841
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.
Integrative multi-omics approach for stratification of tumor recurrence risk groups of Hepatocellular Carcinoma patientsDOI 10.1101/2021.03.03.433841
An individualized prognostic signature and multi-omics distinction for early stage hepatocellular carcinoma patients with surgical resectionSemantic proximity
Identification of a novel gene signature for the prediction of recurrence in HCC patients by machine learning of genome-wide databasesSemantic proximity
Multi-Omics analysis identifies a lncRNA-related prognostic signature to predict bladder cancer recurrence.Semantic proximity
Combining a machine-learning derived 4-lncRNA signature with AFP and TNM stages in predicting early recurrence of hepatocellular carcinomaSemantic proximity
Prognostic biomarkers for prediction of recurrence of hepatocellular carcinoma: current status and future prospects.Semantic proximity
Comprehensive Molecular Analyses of a Six-Gene Signature for Predicting Late Recurrence of Hepatocellular CarcinomaSemantic proximity
Based on Exosome-Derived Genes for Constructing Diagnostic, Prognostic and Recurrence Models and Predicting Therapeutic Response for Hepatocellular CarcinomaSemantic proximity
DNA methylation-driven genes for constructing diagnostic, prognostic, and recurrence models for hepatocellular carcinomaSemantic proximity
Multi-omics cluster defines the subtypes of CRC with distinct prognosis and tumor microenvironmentSemantic proximity
Long non-coding RNAs to predict postoperative recurrence in muscle-invasive bladder cancer and to develop a new molecular classification systemSemantic proximity
A gene-based risk score model for predicting recurrence-free survival in patients with hepatocellular carcinomaSemantic proximity
Decoding Liver Cancer Prognosis: From Multi-omics Subtypes, Prognostic Models to Single Cell ValidationSemantic proximity
Select a neighboring publication to make it the new centre.