دورية أكاديمية
Integrative nomogram model based on anoikis-related genes enhances prognostic evaluation in colorectal cancer
| العنوان: | Integrative nomogram model based on anoikis-related genes enhances prognostic evaluation in colorectal cancer |
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| المؤلفون: | Yuexiao Zhang, Xia Xue, Fazhan Li, Bo Zhang, Pengyuan Zheng, Yang Mi |
| المصدر: | Heliyon, Vol 10, Iss 13, Pp e33637- (2024) |
| بيانات النشر: | Elsevier, 2024. |
| سنة النشر: | 2024 |
| المجموعة: | LCC:Science (General) LCC:Social sciences (General) |
| مصطلحات موضوعية: | Anoikis, LASSO machine learning algorithm, Nomogram, Clinical prediction model, Generalizability, Science (General), Q1-390, Social sciences (General), H1-99 |
| الوصف: | Background: Revealing the role of anoikis resistance plays in CRC is significant for CRC diagnosis and treatment. This study integrated the CRC anoikis-related key genes (CRC-AKGs) and established a novel model for improving the efficiency and accuracy of the prognostic evaluation of CRC. Methods: CRC-ARGs were screened out by performing differential expression and univariate Cox analysis. CRC-AKGs were obtained through the LASSO machine learning algorithm and the LASSO Risk-Score was constructed to build a nomogram clinical prediction model combined with the clinical predictors. In parallel, this work developed a web-based dynamic nomogram to facilitate the generalization and practical application of our model. Results: We identified 10 CRC-AKGs and a risk-related prognostic Risk-Score was calculated. Multivariate COX regression analysis indicated that the Risk-Score, TNM stage, and age were independent risk factors that significantly associated with the CRC prognosis(p |
| نوع الوثيقة: | article |
| وصف الملف: | electronic resource |
| اللغة: | English |
| تدمد: | 2405-8440 |
| Relation: | http://www.sciencedirect.com/science/article/pii/S2405844024096683; https://doaj.org/toc/2405-8440 |
| DOI: | 10.1016/j.heliyon.2024.e33637 |
| URL الوصول: | https://doaj.org/article/67335e36dc2543e8922e0c652acd5e70 |
| رقم الأكسشن: | edsdoj.67335e36dc2543e8922e0c652acd5e70 |
| قاعدة البيانات: | Directory of Open Access Journals |
Full Text Finder | تدمد: | 24058440 |
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| DOI: | 10.1016/j.heliyon.2024.e33637 |