Academic Journal
Construction and validation of a prognostic prediction model for gastric cancer using a series of genes related to lactate metabolism
| العنوان: | Construction and validation of a prognostic prediction model for gastric cancer using a series of genes related to lactate metabolism |
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| المؤلفون: | Si-yu Wang, Yu-xin Wang, Ao Shen, Rui Jian, Nan An, Shu-qiang Yuan |
| المصدر: | Heliyon, Vol 9, Iss 5, Pp e16157- (2023) |
| بيانات النشر: | Elsevier, 2023. |
| سنة النشر: | 2023 |
| المجموعة: | LCC:Science (General) LCC:Social sciences (General) |
| مصطلحات موضوعية: | Gastric cancer, Lactate metabolism, Prognosis, Prediction model, Model construction, Model validation, Science (General), Q1-390, Social sciences (General), H1-99 |
| الوصف: | Background: Gastric cancer (GC) is one of the most common clinical malignant tumors worldwide, with high morbidity and mortality. The commonly used tumor-node-metastasis (TNM) staging and some common biomarkers have a certain value in predicting the prognosis of GC patients, but they gradually fail to meet the clinical demands. Therefore, we aim to construct a prognostic prediction model for GC patients. Methods: A total of 350 cases were included in the STAD (Stomach adenocarcinoma) entire cohort of TCGA (The Cancer Genome Atlas), including the STAD training cohort of TCGA (n = 176) and the STAD testing cohort of TCGA (n = 174). GSE15459 (n = 191), and GSE62254 (n = 300) were for external validation. Results: Through differential expression analysis and univariate Cox regression analysis in the STAD training cohort of TCGA, we screened out five genes among 600 genes related to lactate metabolism for the construction of our prognostic prediction model. The internal and external validations showed the same result, that is, patients with higher risk score were associated with poor prognosis (all p |
| نوع الوثيقة: | article |
| وصف الملف: | electronic resource |
| اللغة: | English |
| تدمد: | 2405-8440 |
| Relation: | http://www.sciencedirect.com/science/article/pii/S2405844023033649; https://doaj.org/toc/2405-8440 |
| DOI: | 10.1016/j.heliyon.2023.e16157 |
| URL الوصول: | https://doaj.org/article/ac5dc40a4a0f48b0ab8457e82fc66f82 |
| رقم الانضمام: | edsdoj.5dc40a4a0f48b0ab8457e82fc66f82 |
| قاعدة البيانات: | Directory of Open Access Journals |
Full Text Finder | تدمد: | 24058440 |
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| DOI: | 10.1016/j.heliyon.2023.e16157 |