A novel genomic-clinicopathologic nomogram to improve prognosis prediction of hepatocellular carcinoma

•Nine mRNA were identified as prognostic markers for patients with HCC.•A integrated model containing 9 mRNAs and age and metastasis could improve prognosis prediction.•This model could be a reliable tool for management of HCC in clinical practice. There is a lack of precise and clinical accessible...

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Published in:Clinica chimica acta 2020-05, Vol.504, p.88-97
Main Authors: Ni, Fu-Biao, Lin, Zhuo, Fan, Xu-Hui, Shi, Ke-Qing, Ao, Jian-Yang, Wang, Xiao-Dong, Chen, Rui-Cong
Format: Article
Language:English
Subjects:
Carcinoma, Hepatocellular - diagnosis
Carcinoma, Hepatocellular - genetics
Genomics
Hepatocellular carcinoma
Humans
LASSO regression
Liver Neoplasms - diagnosis
Liver Neoplasms - genetics
mRNA
Nomogram
Nomograms
Prognosis
TCGA
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Summary:•Nine mRNA were identified as prognostic markers for patients with HCC.•A integrated model containing 9 mRNAs and age and metastasis could improve prognosis prediction.•This model could be a reliable tool for management of HCC in clinical practice. There is a lack of precise and clinical accessible model to predict the prognosis of hepatocellular carcinoma (HCC) in clinic practice currently. Here, an inclusive nomogram was developed by integrating genomic markers and clinicopathologic factors for predicting the outcome of patients with HCC. A total of 365 samples of HCC were obtained from the Cancer Genome Atlas (TCGA) database. The LASSO analysis was carried out to identify HCC-related mRNAs, and the multivariate Cox regression analysis was used to construct a genomic-clinicopathologic nomogram. As results, 9 mRNAs were finally identified as prognostic indicators, including RGCC, CDH15, XRN2, RAB3IL1, THEM4, PIF1, MANBA, FKTN and GABARAPL1, and used to establish a 9-mRNA classifier. Additionally, an inclusive nomogram was built up by combining the 9-mRNA classifier (P 
ISSN:0009-8981
1873-3492
DOI:10.1016/j.cca.2020.02.001