Wntβ-Catenin, Carbohydrate Metabolism, and PI3K-Akt Signaling Pathway-Related Genes as Potential Cancer Predictors
Joint Authors
Chen, Pengliang
Shi, Pengwei
Du, Gang
Zhang, Zhen
Liu, Liang
Source
Journal of Healthcare Engineering
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-7, 7 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-10-20
Country of Publication
Egypt
No. of Pages
7
Main Subjects
Abstract EN
Predicting the outcome after a cancer diagnosis is critical.
Advances in high-throughput sequencing technologies provide physicians with vast amounts of data, yet prognostication remains challenging because the data are greatly dimensional and complex.
We evaluated Wnt/β-catenin, carbohydrate metabolism, and PI3K-Akt signaling pathway-related genes as predictive features for classifying tumors and normal samples.
Using differentially expressed genes as controls, these pathway-related genes were assessed for accuracy using support-vector machines and three other recommended machine learning models, namely, the random forest, decision tree, and k-nearest neighbor algorithms.
The first two outperformed the others.
All candidate pathway-related genes yielded areas under the curve exceeding 95.00% for cancer outcomes, and they were most accurate in predicting colorectal cancer.
These results suggest that these pathway-related genes are useful and accurate biomarkers for understanding the mechanisms behind cancer development.
American Psychological Association (APA)
Chen, Pengliang& Shi, Pengwei& Du, Gang& Zhang, Zhen& Liu, Liang. 2019. Wntβ-Catenin, Carbohydrate Metabolism, and PI3K-Akt Signaling Pathway-Related Genes as Potential Cancer Predictors. Journal of Healthcare Engineering،Vol. 2019, no. 2019, pp.1-7.
https://search.emarefa.net/detail/BIM-1175502
Modern Language Association (MLA)
Chen, Pengliang…[et al.]. Wntβ-Catenin, Carbohydrate Metabolism, and PI3K-Akt Signaling Pathway-Related Genes as Potential Cancer Predictors. Journal of Healthcare Engineering No. 2019 (2019), pp.1-7.
https://search.emarefa.net/detail/BIM-1175502
American Medical Association (AMA)
Chen, Pengliang& Shi, Pengwei& Du, Gang& Zhang, Zhen& Liu, Liang. Wntβ-Catenin, Carbohydrate Metabolism, and PI3K-Akt Signaling Pathway-Related Genes as Potential Cancer Predictors. Journal of Healthcare Engineering. 2019. Vol. 2019, no. 2019, pp.1-7.
https://search.emarefa.net/detail/BIM-1175502
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1175502