Development of a macrophages-related 4-gene signature and nomogram for the overall survival prediction of hepatocellular carcinoma based on WGCNA and LASSO algorithm

2021 ◽  
Vol 90 ◽  
pp. 107238
Author(s):  
Zichang Yang ◽  
Quan Zi ◽  
Kang Xu ◽  
Chunli Wang ◽  
Qingjia Chi
Keyword(s):  
Hepatocellular Carcinoma ◽  
Overall Survival ◽  
Gene Signature ◽  
Survival Prediction ◽  
Overall Survival Prediction

scholarly journals A Novel Ferroptosis-related Gene Signature for Overall Survival Prediction in Patients with Hepatocellular Carcinoma

2020 ◽  
Vol 16 (13) ◽  
pp. 2430-2441 ◽  
Author(s):  
Jie-ying Liang ◽  
De-shen Wang ◽  
Hao-cheng Lin ◽  
Xiu-xing Chen ◽  
Hui Yang ◽  
...  
Keyword(s):  
Hepatocellular Carcinoma ◽  
Overall Survival ◽  
Gene Signature ◽  
Survival Prediction ◽  
Related Gene ◽  
Overall Survival Prediction

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

2020 ◽  
Vol 2020 ◽  
pp. 1-17
Author(s):  
Jun Liu ◽  
Jianjun Lu ◽  
Zhanzhong Ma ◽  
Wenli Li
Keyword(s):  
Gene Expression ◽  
Hepatocellular Carcinoma ◽  
Overall Survival ◽  
Clinical Practice ◽  
Correlation Coefficient ◽  
Cox Regression ◽  
Prognostic Significance ◽  
Gene Signature ◽  
Cancer Genome ◽  
Survival Prediction

Background. Hepatocellular carcinoma (HCC) is a common cancer with an extremely high mortality rate. Therefore, there is an urgent need in screening key biomarkers of HCC to predict the prognosis and develop more individual treatments. Recently, AATF is reported to be an important factor contributing to HCC. Methods. We aimed to establish a gene signature to predict overall survival of HCC patients. Firstly, we examined the expression level of AATF in the Gene Expression Omnibus (GEO), the Cancer Genome Atlas (TCGA), and the International Union of Cancer Genome (ICGC) databases. Genes coexpressed with AATF were identified in the TCGA dataset by the Poisson correlation coefficient and used to establish a gene signature for survival prediction. The prognostic significance of this gene signature was then validated in the ICGC dataset and used to build a combined prognostic model for clinical practice. Results. Gene expression data and clinical information of 2521 HCC patients were downloaded from three public databases. AATF expression in HCC tissue was higher than that in matched normal liver tissues. 644 genes coexpressed with AATF were identified by the Poisson correlation coefficient and used to establish a three-gene signature (KIF20A, UCK2, and SLC41A3) by the univariate and multivariate least absolute shrinkage and selection operator Cox regression analyses. This three-gene signature was then used to build a combined nomogram for clinical practice. Conclusion. This integrated nomogram based on the three-gene signature can predict overall survival for HCC patients well. The three-gene signature may be a potential therapeutic target in HCC.

A six-gene-based prognostic signature for hepatocellular carcinoma overall survival prediction

Life Sciences ◽  
2018 ◽  
Vol 203 ◽  
pp. 83-91 ◽  
Author(s):  
Zhenglu Wang ◽  
Dahong Teng ◽  
Yan Li ◽  
Zhandong Hu ◽  
Lei Liu ◽  
...  
Keyword(s):  
Hepatocellular Carcinoma ◽  
Overall Survival ◽  
Survival Prediction ◽  
Prognostic Signature ◽  
Overall Survival Prediction

scholarly journals Prognostic Power of a Chaperonin Containing TCP-1 Subunit Genes Panel for Hepatocellular Carcinoma

2021 ◽  
Vol 12 ◽  
Author(s):  
Wenli Li ◽  
Jun Liu ◽  
Hetong Zhao
Keyword(s):  
Gene Expression ◽  
Hepatocellular Carcinoma ◽  
Overall Survival ◽  
Cox Regression ◽  
Gene Signature ◽  
Cancer Genome ◽  
Medical Decision ◽  
Survival Prediction ◽  
Cox Regression Analysis ◽  
T Complex

Chaperonin containing TCP-1 (T-complex protein 1) (CCT) is a large molecular weight complex that contains nine subunits (TCP1, CCT2, CCT3, CCT4, CCT5, CCT6A, CCT6B, CCT7, CCT8). This study aimed to reveal key genes which encode CCT subunits for prognosis and establish prognostic gene signatures based on CCT subunit genes. The data was downloaded from The Cancer Genome Atlas, International Cancer Genome Consortium and Gene Expression Omnibus. CCT subunit gene expression levels between tumor and normal tissues were compared. Corresponding Kaplan-Meier analysis displayed a distinct separation in the overall survival of CCT subunit genes. Correlation analysis, protein-protein interaction network, Gene Ontology analysis, immune cells infiltration analysis, and transcription factor network were performed. A nomogram was constructed for the prediction of prognosis. Based on multivariate Cox regression analysis and shrinkage and selection method for linear regression model, a three-gene signature comprising CCT4, CCT6A, and CCT6B was constructed in the training set and significantly associated with prognosis as an independent prognostic factor. The prognostic value of the signature was then validated in the validation and testing set. Nomogram including the signature showed some clinical benefit for overall survival prediction. In all, we built a novel three-gene signature and nomogram from CCT subunit genes to predict the prognosis of hepatocellular carcinoma, which may support the medical decision for HCC therapy.

Integrating baseline MR imaging biomarkers into BCLC and CLIP improves overall survival prediction of patients with hepatocellular carcinoma (HCC)

2020 ◽  
Author(s):  
Mounes Aliyari Ghasabeh ◽  
Mohammadreza Shaghaghi ◽  
Ankur Pandey ◽  
Sanaz Ameli ◽  
Bharath Ambale Venkatesh ◽  
...  
Keyword(s):  
Hepatocellular Carcinoma ◽  
Overall Survival ◽  
Mr Imaging ◽  
Imaging Biomarkers ◽  
Survival Prediction ◽  
Overall Survival Prediction
Sign in / Sign up

Export Citation Format

Share Document