دورية أكاديمية
Unveiling Prognostic RNA Biomarkers through a Multi-Cohort Study in Colorectal Cancer
| العنوان: | Unveiling Prognostic RNA Biomarkers through a Multi-Cohort Study in Colorectal Cancer |
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| المؤلفون: | Zehwan Kim, Jaebon Lee, Ye Eun Yoon, Jae Won Yun |
| المصدر: | International Journal of Molecular Sciences, Vol 25, Iss 6, p 3317 (2024) |
| بيانات النشر: | MDPI AG, 2024. |
| سنة النشر: | 2024 |
| المجموعة: | LCC:Biology (General) LCC:Chemistry |
| مصطلحات موضوعية: | prognostic biomarkers, colorectal cancer, gene expression, RNA, Biology (General), QH301-705.5, Chemistry, QD1-999 |
| الوصف: | Because cancer is a leading cause of death and is thought to be caused by genetic errors or genomic instability in many circumstances, there have been studies exploring cancer’s genetic basis using microarray and RNA-seq methods, linking gene expression data to patient survival. This research introduces a methodological framework, combining heterogeneous gene expression data, random forest selection, and pathway analysis, alongside clinical information and Cox regression analysis, to discover prognostic biomarkers. Heterogeneous gene expression data for colorectal cancer were collected from TCGA-COAD (RNA-seq), and GSE17536 and GSE39582 (microarray), and were integrated with Entrez Gene IDs. Using Cox regression analysis and random forest, genes with consistent hazard ratios and significantly affecting patient survivability were chosen. Predictive accuracy was evaluated using ROC curves. Pathway analysis identified potential RNA biomarkers. The authors identified 28 RNA biomarkers. Pathway analysis revealed enrichment in cancer-related pathways, notably EGFR downstream signaling and IGF1R signaling. Three RNA biomarkers (ZEB1-AS1, PI4K2A, and ITGB8-AS1) and two clinical biomarkers (stage and age) were chosen for a prognostic model, improving predictive performance compared to using clinical biomarkers alone. Despite biomarker identification challenges, this study underscores integration of heterogenous gene expression data for discovery. |
| نوع الوثيقة: | article |
| وصف الملف: | electronic resource |
| اللغة: | English |
| تدمد: | 1422-0067 1661-6596 19769253 |
| Relation: | https://www.mdpi.com/1422-0067/25/6/3317; https://doaj.org/toc/1661-6596; https://doaj.org/toc/1422-0067 |
| DOI: | 10.3390/ijms25063317 |
| URL الوصول: | https://doaj.org/article/197692533cf844f69378e07d18b7f30c |
| رقم الأكسشن: | edsdoj.197692533cf844f69378e07d18b7f30c |
| قاعدة البيانات: | Directory of Open Access Journals |
Full Text Finder | تدمد: | 14220067 16616596 19769253 |
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| DOI: | 10.3390/ijms25063317 |