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Gene expression profile of A549 cells from tissue of 4D model predicts poor prognosis in lung cancer patients

ChEBI2013-09-16 更新2026-07-21 收录

癌症预后预测

基因表达生物标志物

数据链接：

https://www.ebi.ac.uk/biostudies/ArrayExpress/studies/E-GEOD-45142 数据链接链接失效反馈

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资源简介：

Gene expression profile of A549 cells from tissue of 4D model predicts poor prognosis in lung cancer patients

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创建时间：

2013-09-16

癌症预后预测

肿瘤生物标志物

BackgroundGamma-aminobutyric acid (GABA) participates in the migration, differentiation, and proliferation of tumor cells. However, the GABA-related risk signature has never been investigated. Hence,

NIAID Data Ecosystem10

Cox multivariate regression analysis table.

癌症预后预测

生物标志物分析

BackgroundGastric cancer represents a highly aggressive form of malignant tumor originating from the epithelial cells lining the gastric mucosa. Despite notable improvements in treatment approaches ov

Figshare2025-04-08 更新10

Table 1_A nomogram with Nottingham prognostic index for predicting locoregional recurrence in breast cancer patients.xlsx

癌症预后预测

列线图模型评估

BackgroundThe Nottingham prognostic index (NPI) has been shown to negatively impact survival in breast cancer (BC). However, its ability to predict the locoregional recurrence (LRR) of BC remains stil

NIAID Data Ecosystem00

Table_1_A novel risk score model based on gamma-aminobutyric acid signature predicts the survival prognosis of patients with breast cancer.xlsx

癌症预后预测

肿瘤免疫微环境分析

BackgroundGamma-aminobutyric acid (GABA) participates in the migration, differentiation, and proliferation of tumor cells. However, the GABA-related risk signature has never been investigated. Hence,

NIAID Data Ecosystem10

Table_1_Dual Tracers of 16α-[18F]fluoro-17β-Estradiol and [18F]fluorodeoxyglucose for Prediction of Progression-Free Survival After Fulvestrant Therapy in Patients With HR+/HER2- Metastatic Breast Cancer.docx

癌症预后预测

PET/CT生物标志物成像

ObjectiveThe purpose of this study was to employ dual tracers 16α-[18F]fluoro-17β-estradiol (18F-FES) and [18F]fluorodeoxyglucose (18F-FDG) as imaging biomarkers in predicting progression-free surviva

NIAID Data Ecosystem10

Gene expression profile of A549 cells from tissue of 4D model predicts poor prognosis in lung cancer patients

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