Search engine for discovering works of Art, research articles, and books related to Art and Culture
ShareThis
Javascript must be enabled to continue!

A stemness-based eleven-gene signature correlates with the clinical outcome of hepatocellular carcinoma

View through CrossRef
Abstract Background Cumulative evidences have been implicated cancer stem cells in the tumor environment of hepatocellular carcinoma (HCC) cells, whereas the biological functions and prognostic significance of stemness related genes (SRGs) in HCC is still unclear. Methods Molecular subtypes were identified by cumulative distribution function (CDF) clustering on 207 prognostic SRGs. The overall survival (OS) predictive gene signature was developed, internally and externally validated based on HCC datasets including The Cancer Genome Atlas (TCGA), GEO and ICGC datasets. Hub genes were identified in molecular subtypes by protein-protein interaction (PPI) network analysis, and then enrolled for determination of prognostic genes. Univariate, LASSO and multivariate Cox regression analyses were performed to assess prognostic genes and construct the prognostic gene signature. Time-dependent receiver operating characteristic (ROC) curve, Kaplan-Meier curve and nomogram were used to assess the performance of the gene signature. Results We identified four molecular subtypes, among which the C2 subtype showed the highest SRGs expression levels and proportions of immune cells, whereas the worst OS; the C1 subtype showed the lowest SRGs expression levels and was associated with most favorable OS. Next, we identified 11 prognostic genes (CDX2, PON1, ADH4, RBP2, LCAT, GAL, LPA, CYP19A1, GAST, SST and UGT1A8) and then constructed a prognostic 11-gene module and validated its robustness in all three datasets. Moreover, by univariate and multivariate Cox regression, we confirmed the independent prognostic ability of the 11-gene module for patients with HCC. In addition, calibration analysis plots indicated the excellent predictive performance of the prognostic nomogram constructed based on the 11-gene signature. Conclusions Findings in the present study shed new light on the role of stemness related genes within HCC, and the established 11-SRG signature can be utilized as a novel prognostic marker for survival prognostication in patients with HCC.
Title: A stemness-based eleven-gene signature correlates with the clinical outcome of hepatocellular carcinoma
Description:
Abstract Background Cumulative evidences have been implicated cancer stem cells in the tumor environment of hepatocellular carcinoma (HCC) cells, whereas the biological functions and prognostic significance of stemness related genes (SRGs) in HCC is still unclear.
Methods Molecular subtypes were identified by cumulative distribution function (CDF) clustering on 207 prognostic SRGs.
The overall survival (OS) predictive gene signature was developed, internally and externally validated based on HCC datasets including The Cancer Genome Atlas (TCGA), GEO and ICGC datasets.
Hub genes were identified in molecular subtypes by protein-protein interaction (PPI) network analysis, and then enrolled for determination of prognostic genes.
Univariate, LASSO and multivariate Cox regression analyses were performed to assess prognostic genes and construct the prognostic gene signature.
Time-dependent receiver operating characteristic (ROC) curve, Kaplan-Meier curve and nomogram were used to assess the performance of the gene signature.
Results We identified four molecular subtypes, among which the C2 subtype showed the highest SRGs expression levels and proportions of immune cells, whereas the worst OS; the C1 subtype showed the lowest SRGs expression levels and was associated with most favorable OS.
Next, we identified 11 prognostic genes (CDX2, PON1, ADH4, RBP2, LCAT, GAL, LPA, CYP19A1, GAST, SST and UGT1A8) and then constructed a prognostic 11-gene module and validated its robustness in all three datasets.
Moreover, by univariate and multivariate Cox regression, we confirmed the independent prognostic ability of the 11-gene module for patients with HCC.
In addition, calibration analysis plots indicated the excellent predictive performance of the prognostic nomogram constructed based on the 11-gene signature.
Conclusions Findings in the present study shed new light on the role of stemness related genes within HCC, and the established 11-SRG signature can be utilized as a novel prognostic marker for survival prognostication in patients with HCC.

Related Results

Breast Carcinoma within Fibroadenoma: A Systematic Review
Breast Carcinoma within Fibroadenoma: A Systematic Review
Abstract Introduction Fibroadenoma is the most common benign breast lesion; however, it carries a potential risk of malignant transformation. This systematic review provides an ove...
Carcinoma ex Pleomorphic Adenoma: A Case Series and Literature Review
Carcinoma ex Pleomorphic Adenoma: A Case Series and Literature Review
Abstract Introduction Carcinoma ex pleomorphic adenoma (CXPA) is a rare malignant salivary gland tumor that can lead to severe complications and carries a risk of distant metastasi...
Insight into the impact of diabetes mellitus on the increased risk of hepatocellular carcinoma: mini-review
Insight into the impact of diabetes mellitus on the increased risk of hepatocellular carcinoma: mini-review
AbstractHepatocellular carcinoma is a multifactorial disease which is associated with a background of many causal risk factors. Diabetes mellitus however is one of the most common ...
A cancer stemness-related eight-gene signature for predicting prognosis and malignant degree of lung adenocarcinoma
A cancer stemness-related eight-gene signature for predicting prognosis and malignant degree of lung adenocarcinoma
Abstract To identify a cancer stemness-related prognostic signature, we analyzed RNA-seq data of patients with lung adenocarcinoma from the TCGA and GEO cohort using univar...
Silencing HSF4 can inhibit the proliferation of HCC cells
Silencing HSF4 can inhibit the proliferation of HCC cells
Abstract Purpose: To explore the regulatory role of HSF4 in hepatocellular carcinoma stemness property maintaining and analysis the clinical significance of HSF4 in hepatoc...
Long interval between HCV infection and development of hepatocellular carcinoma
Long interval between HCV infection and development of hepatocellular carcinoma
Abstract: A high prevalence of HCV infection has been reported in patients with hepatocellular carcinoma. The progression from acute transfusion‐associated hepatitis to hepatic ci...
Expression and polymorphism of genes in gallstones
Expression and polymorphism of genes in gallstones
ABSTRACT Through the method of clinical case control study, to explore the expression and genetic polymorphism of KLF14 gene (rs4731702 and rs972283) and SR-B1 gene (rs...

Back to Top