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Investigation of molecular features involved in clinical responses and survival in advanced endometrial carcinoma

ChEBI2022-03-16 更新2026-07-12 收录

肿瘤分子分型

癌症预后预测

数据链接：

https://www.ebi.ac.uk/biostudies/ArrayExpress/studies/E-MTAB-11552 数据链接链接失效反馈

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资源简介：

Investigation of molecular features involved in clinical responses and survival in advanced endometrial carcinoma

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创建时间：

2022-03-16

血浆tsRNA标志物

癌症预后预测

Additional file 4: Table S4. Consistently differentially expressed tsRNAs in plasma and tissue.

Figshare2024-02-14 更新30

DataSheet_1_A novel risk score model based on gamma-aminobutyric acid signature predicts the survival prognosis of patients with breast cancer.zip

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

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

Table_1_Tumor-Infiltrating Lymphocyte-Based Risk Score for Predicting Prognosis in Gastric Cancer.XLSX

癌症预后预测

肿瘤免疫微环境

Tumor-infiltrating lymphocytes (TILs) in gastric cancer are closely related to clinical prognosis; however, little is known regarding the immune microenvironment in this disease. Thus, RNA-sequencing

NIAID Data Ecosystem20

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

Investigation of molecular features involved in clinical responses and survival in advanced endometrial carcinoma

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