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 |
تدمد: | 24058440 |
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DOI: | 10.1016/j.heliyon.2024.e33637 |