首页/数据集/MGMT-STP27 methylation status as Predictive Marker for Response to PCV in Anaplastic Oligodendrogliomas and Oligoastrocytomas. A report from EORTC study 26951

MGMT-STP27 methylation status as Predictive Marker for Response to PCV in Anaplastic Oligodendrogliomas and Oligoastrocytomas. A report from EORTC study 26951

NIAID Data Ecosystem2026-03-07 收录

神经肿瘤分子标记物

放化疗反应预测

数据链接：

https://www.ncbi.nlm.nih.gov/bioproject/PRJNA210231 数据链接链接失效反馈

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资源简介：

This SuperSeries is composed of the SubSeries listed below. Overall design: Refer to individual Series

应用场景：

创建时间：

2013-07-01

肝细胞癌

放化疗反应预测

Additional file 19: Table S14. Prediction of chemotherapy response in HCC patients based on risk scores.

DataCite Commons2024-08-18 更新70

Additional file 14: of A systematic analysis of genomics-based modeling approaches for prediction of drug response to cytotoxic chemotherapies

放化疗反应预测

基因表达建模

Spearman Correlations for NLSVR CTR1 models from 10 to 1000 genes presented in figure for section E and Fig.Â 6. (XLSX 38 kb)

NIAID Data Ecosystem60

DataSheet_1_Ferroptosis-Associated Molecular Features to Aid Patient Clinical Prognosis and Therapy Across Human Cancers.xlsx

癌症铁死亡预后

放化疗反应预测

Ferroptosis is a new non-apoptotic form that regulates cell death and is mainly dependent on iron-mediated oxidative damage and subsequent cell membrane damage. Ferroptosis may be a potential therapeu

NIAID Data Ecosystem30

Supplemental Table S4 from Gene Expression–Based Prediction of Neoadjuvant Chemotherapy Response in Early Breast Cancer: Results of the Prospective Multicenter EXPRESSION Trial

放化疗反应预测

基因表达生物标志物

Genes with a significantly lower expression in patients predicted to not achieve a pCR with an extremely low predicted probability of pCR (a) and enes with a significantly higher expression in patient

NIAID Data Ecosystem60

DataSheet_5_Multiparametric MRI Radiomics for the Early Prediction of Response to Chemoradiotherapy in Patients With Postoperative Residual Gliomas: An Initial Study.doc

放化疗反应预测

神经胶质瘤

PurposeTo evaluate whether multiparametric magnetic resonance imaging (MRI)-based logistic regression models can facilitate the early prediction of chemoradiotherapy response in patients with residual

NIAID Data Ecosystem50

MGMT-STP27 methylation status as Predictive Marker for Response to PCV in Anaplastic Oligodendrogliomas and Oligoastrocytomas. A report from EORTC study 26951

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