Unknown

Dataset Information

0

Construction and Validation of a Robust Cancer Stem Cell-Associated Gene Set-Based Signature to Predict Early Biochemical Recurrence in Prostate Cancer.


ABSTRACT: Background:Postoperative early biochemical recurrence (BCR) was an essential indicator for recurrence and distant metastasis of prostate cancer (PCa). The aim of this study was to construct a cancer stem cell- (CSC-) associated gene set-based signature to identify a subgroup of PCa patients who are at high risk of early BCR. Methods:The PCa dataset from The Cancer Genome Atlas (TCGA) was randomly separated into discovery and validation set. Patients in discovery set were divided into early BCR group and long-term survival group. Propensity score matching analysis and differentially expressed gene selection were used to identify candidate CSC-associated genes. The LASSO Cox regression model was finally performed to filter the most useful prognostic CSC-associated genes for predicting early BCR. Results:By applying the LASSO Cox regression model, we built a thirteen-CSC-associated gene-based early BCR-predicting signature. In the discovery set, patients in high-risk group showed significantly poorer BCR free survival than that patients in low-risk group (HR: 4.91, 95% CI: 2.75-8.76, P < 0.001). The results were further validated in the internal validation set (HR: 2.99, 95% CI: 1.34-6.70, P = 0.005). Time-dependent ROC at 1 year suggested that the CSC gene signature (AUC = 0.800) possessed better predictive value than any other clinicopathological features in the entire TCGA cohort. Additionally, survival decision curve analysis revealed a considerable clinical usefulness of the CSC gene signature. Conclusions:We successfully developed a CSC-associated gene set-based signature that can accurately predict early BCR in PCa cancer.

SUBMITTER: Liu B 

PROVIDER: S-EPMC7569422 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature

altmetric image

Publications

Construction and Validation of a Robust Cancer Stem Cell-Associated Gene Set-Based Signature to Predict Early Biochemical Recurrence in Prostate Cancer.

Liu Bide B   Li Xun X   Li Jiuzhi J   Jin Hongyong H   Jia Hongliang H   Ge Xiaohu X  

Disease markers 20201009


<h4>Background</h4>Postoperative early biochemical recurrence (BCR) was an essential indicator for recurrence and distant metastasis of prostate cancer (PCa). The aim of this study was to construct a cancer stem cell- (CSC-) associated gene set-based signature to identify a subgroup of PCa patients who are at high risk of early BCR.<h4>Methods</h4>The PCa dataset from The Cancer Genome Atlas (TCGA) was randomly separated into discovery and validation set. Patients in discovery set were divided i  ...[more]

Similar Datasets

| S-EPMC6120243 | biostudies-literature
2013-05-22 | E-GEOD-47125 | biostudies-arrayexpress
2013-05-22 | GSE47125 | GEO
| S-EPMC3738112 | biostudies-literature
| S-EPMC8120173 | biostudies-literature
| S-EPMC9256390 | biostudies-literature
| S-EPMC8202683 | biostudies-literature
| S-EPMC7226108 | biostudies-literature
| S-EPMC8586218 | biostudies-literature
| S-EPMC10724679 | biostudies-literature