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miRNAs and clinico-pathological factors associated with the overall survival of PDAC in multivariate analysis.

NIAID Data Ecosystem2026-03-08 收录

数据链接：

https://figshare.com/articles/dataset/_miRNAs_and_clinico_pathological_factors_associated_with_the_overall_survival_of_PDAC_in_multivariate_analysis_/1329876 数据链接链接失效反馈

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资源简介：

miRNAs and clinico-pathological factors associated with the overall survival of PDAC in multivariate analysis.

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创建时间：

2015-03-05

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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

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

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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,

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

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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

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

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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,

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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

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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

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miRNAs and clinico-pathological factors associated with the overall survival of PDAC in multivariate analysis.

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