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

Public Health
Medicine

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