A genomic-clinicopathologic nomogram for predicting overall survival of hepatocellular carcinoma.
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ABSTRACT: Background
Hepatocellular carcinoma (HCC) is a common digestive tumor with great heterogeneity and different overall survival (OS) time, causing stern problems for selecting optimal treatment. Here we aim to establish a nomogram to predict the OS in HCC patients.Methods
International Cancer Genome Consortium (ICGC) database was searched for the target information in our study. Lasso regression, univariate and multivariate cox analysis were applied during the analysis process. And a nomogram integrating model scoring and clinical characteristic was drawn.Results
Six mRNAs were screened out by Lasso regression to make a model for predicting the OS of HCC patients. And this model was proved to be an independent prognostic model predicting OS in HCC patients. The area under the ROC curve (AUC) of this model was 0.803. TCGA database validated the significant value of this 6-mRNA model. Eventually a nomogram including 6-mRNA risk score, gender, age, tumor stage and prior malignancy was set up to predict the OS in HCC patients.Conclusions
We established an independent prognostic model of predicting OS for 1-3?years in HCC patients, which is available to all populations. And we developed a nomogram on the basis of this model, which could be of great help to precisely individual treatment measures.
SUBMITTER: Zhou K
PROVIDER: S-EPMC7709450 | biostudies-literature | 2020 Dec
REPOSITORIES: biostudies-literature
Publications
A genomic-clinicopathologic nomogram for predicting overall survival of hepatocellular carcinoma.
Zhou Kena K Zhou Qiang Q Cai Congbo C
BMC cancer 20201201 1
<h4>Background</h4>Hepatocellular carcinoma (HCC) is a common digestive tumor with great heterogeneity and different overall survival (OS) time, causing stern problems for selecting optimal treatment. Here we aim to establish a nomogram to predict the OS in HCC patients.<h4>Methods</h4>International Cancer Genome Consortium (ICGC) database was searched for the target information in our study. Lasso regression, univariate and multivariate cox analysis were applied during the analysis process. And ...[more]
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