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Table 1 from Low OLFM1 and BMP6 Expression Predicts Recurrence in Early-Stage Nonsquamous NSCLC with Pure Solid Tumor Appearance

Figshare2025-12-18 更新2026-04-28 收录

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肿瘤生物标志物

数据链接：

https://figshare.com/articles/dataset/Table_1_from_Low_i_OLFM1_i_and_i_BMP6_i_Expression_Predicts_Recurrence_in_Early-Stage_Nonsquamous_NSCLC_with_Pure_Solid_Tumor_Appearance/30908561 数据链接链接失效反馈

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资源简介：

Multivariable analysis for RFS and OS in cohort 2a (N = 125).

应用场景：

创建时间：

2025-12-18

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

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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

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_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

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,

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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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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 from Low OLFM1 and BMP6 Expression Predicts Recurrence in Early-Stage Nonsquamous NSCLC with Pure Solid Tumor Appearance

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