The radiosensitivity index predicts for overall survival in glioblastoma - Wikidata - wikimedia - TriplyDB

The radiosensitivity index predicts for overall survival in glioblastoma

The radiosensitivity index predicts for overall survival in glioblastoma

http://www.wikidata.org/entity/Q36544110

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MRE11 and ATM Expression Levels Predict Rectal Cancer Survival and Their Association with Radiotherapy Response.Gain-of-function miRNA signature by mutant p53 associates with poor cancer outcome Radiogenomics and radiotherapy response modeling.Integrating Biological Covariates into Gene Expression-Based Predictors of Radiation Sensitivity.Tumour radiosensitivity is associated with immune activation in solid tumours.Improving radiotherapy in cancer treatment: Promises and challenges.Radioresistance of mesenchymal glioblastoma initiating cells correlates with patient outcome and is associated with activation of inflammatory program.Early Postoperative Low Expression of RAD50 in Rectal Cancer Patients Associates with Disease-Free Survival.MicroRNA-320 Enhances Radiosensitivity of Glioma Through Down-Regulation of Sirtuin Type 1 by Directly Targeting Forkhead Box Protein M1.Molecular Signatures of Radiation Response in Breast Cancer: Towards Personalized Decision-Making in Radiation Treatment.The role of Next-Generation Sequencing in tumoral radiosensitivity prediction.Differential miRNA expression profiling reveals miR-205-3p to be a potential radiosensitizer for low- dose ionizing radiation in DLD-1 cells.Personalizing Radiation Treatment Delivery in the Management of Breast Cancer.Developing Predictive or Prognostic Biomarkers for Charged Particle Radiotherapy Overexpression of the MRE11-RAD50-NBS1 (MRN) complex in rectal cancer correlates with poor response to neoadjuvant radiotherapy and prognosis

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The radiosensitivity index predicts for overall survival in glioblastoma

http://www.wikidata.org/entity/Q36544110

description

2015 nî lūn-bûn

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2015年の論文

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2015年論文

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2015年論文

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2015年論文

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2015年論文

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2015年論文

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2015年论文

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2015年论文

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2015年论文

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name

The radiosensitivity index predicts for overall survival in glioblastoma

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The radiosensitivity index predicts for overall survival in glioblastoma

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type

label

The radiosensitivity index predicts for overall survival in glioblastoma

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The radiosensitivity index predicts for overall survival in glioblastoma

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prefLabel

The radiosensitivity index predicts for overall survival in glioblastoma

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The radiosensitivity index predicts for overall survival in glioblastoma

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ONCOTARGET.5437

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The radiosensitivity index predicts for overall survival in glioblastoma

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Javier F Torres-Roca

http://www.w3.org/2001/XMLSchema#string

Jimmy J Caudell

http://www.w3.org/2001/XMLSchema#string

Kamran A Ahmed

http://www.w3.org/2001/XMLSchema#string

Prakash Chinnaiyan

http://www.w3.org/2001/XMLSchema#string

Steven Eschrich

http://www.w3.org/2001/XMLSchema#string

William J Fulp

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P2860

IDH1 and IDH2 mutations in gliomas

Comprehensive genomic characterization defines human glioblastoma genes and core pathways

MGMT gene silencing and benefit from temozolomide in glioblastoma.

Effects of radiotherapy with concomitant and adjuvant temozolomide versus radiotherapy alone on survival in glioblastoma in a randomised phase III study: 5-year analysis of the EORTC-NCIC trial

Molecular subclasses of high-grade glioma predict prognosis, delineate a pattern of disease progression, and resemble stages in neurogenesis

A randomized trial of bevacizumab for newly diagnosed glioblastoma

The use of hypofractionated intensity-modulated irradiation in the treatment of glioblastoma multiforme: preliminary results of a prospective trial.

Temozolomide chemotherapy alone versus radiotherapy alone for malignant astrocytoma in the elderly: the NOA-08 randomised, phase 3 trial.

O-methylguanine-DNA methyltransferase (MGMT) mRNA expression predicts outcome in malignant glioma independent of MGMT promoter methylation.

Phase I three-dimensional conformal radiation dose escalation study in newly diagnosed glioblastoma: Radiation Therapy Oncology Group Trial 98-03

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10.18632/ONCOTARGET.5437

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