Prediction of Chemoradiation response in Glioblastoma to individualize Therapy
预测胶质母细胞瘤的放化疗反应以进行个体化治疗
基本信息
- 批准号:7450205
- 负责人:
- 金额:$ 27.27万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2008
- 资助国家:美国
- 起止时间:2008-09-01 至 2013-08-31
- 项目状态:已结题
- 来源:
- 关键词:AdultAngiogenesis InhibitorsAreaBAY 54-9085Biological AssayBiological MarkersBrain NeoplasmsCandidate Disease GeneCaringClinicClinicalClinical TrialsCompatibleComplementDataData SetDatabasesDiagnosisEnsureExtracellular MatrixFormalinFutureGene ExpressionGenesGlioblastomaHistopathologyImmunohistochemistryMGMT geneMedicineMesenchymalMesenchymal DifferentiationMeta-AnalysisMethylationMicroarray AnalysisMiningMitogen-Activated Protein KinasesMolecularMolecular ProfilingNewly DiagnosedOutcomePathway interactionsPatientsPatternPhasePhase III Clinical TrialsPhenotypePhosphorylationProgression-Free SurvivalsProtein OverexpressionRadiationRadiation Therapy Oncology GroupRadiation therapyRandomizedRecurrenceRefractoryResistanceSamplingSignal TransductionStagingStandards of Weights and MeasuresStatistical ModelsSurvival RateTechniquesTestingTherapeuticTherapeutic AgentsTimeTissuesTreatment ProtocolsUniversity of Texas M D Anderson Cancer CenterValidationangiogenesisbasebevacizumabchemotherapycohortcollegedesignimprovedinclusion criteriainhibitor/antagonistinsightnext generationnovelnovel therapeuticsoutcome forecastpromoterprospectiveresearch clinical testingresponsetemozolomidetrial comparingtumor
项目摘要
Glioblastoma (GBM) is the most common primary brain tumor in adults and is highly lethal. A recent phase
HI clinical trial demonstrated a benefit for temozolomide-chemoradiation (TMZ-CR) over radiation alone.
While these results have changed the standard of care for newly diagnosed GBM patients, it is clear that
only a fraction of patients derive significant benefit from this treatment, with overall two-year survival in the
TMZ-CR treated patients only 26%. Since diagnosis and treatment decisions in GBM are currently based
on histopathology alone, there is a need to: 1) develop sensitive and specific markers to prospectively
distinguish those patients who will respond to standard TMZ-CR as initial treatment from those who will not
respond; and 2) determine important molecular alterations that define the resistant tumors to design
rational trials for patients who will not benefit from TMZ-CR alone. We have mined independent microarray
datasets to identify an initial multimarker panel that robustly predicts outcome in GBM. We find that a
molecular subtype, defined by overexpression of mesenchymal/angiogenic genes, is predictive of poor
outcome. In Aim 1, will refine this panel using 2 independent sets of tumor samples from TMZ-CR treated
patients at The University of Texas M. D. Anderson Cancer Center (UTMDACC) and the Mayo Clinic
College of Medicine. We will include a larger (-400) set of genes to ensure that an optimal gene panel can
be identified that predicts progression-free survival. We will incorporate additional relevant markers,
including MGMT and Akt signaling intermediates. Aim 2 will rigorously test and validate this multimarker
panel using patient samples from a large phase III clinical trial. The newly opened RTOG 05-25 trial, with a
requirement of tissue submission, provides an unprecedented opportunity to study a large (n=834) cohort
of uniformily-treated GBM patients using modern molecular techniques to identify a definitive set of
predictive markers. Aim 3 will focus on markers of response from novel agents targeted to recurrent GBM
patients who have failed TMZ-CR. It is expected that tumors from most of these patients will display the
mesenchymal/angiogenic phenotype, and we will therefore identify potential agents which target that
phenotype in GBM. The results of this project will set the stage for future trials, in which newly diagnosed
GBM patients will undergo a predictive test, and treatment will be individualized according to the molecular
profile of the tumor to maximize the chances of benefit.
胶质母细胞瘤(GBM)是成人最常见的原发性脑肿瘤,具有高致死率。最近的一个阶段
项目成果
期刊论文数量(0)
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KENNETH D ALDAPE其他文献
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{{ truncateString('KENNETH D ALDAPE', 18)}}的其他基金
TOWARDS A REFINED MOLECULAR RECURSIVE PARTITIONING ANALYSIS MODEL FOR GLIOBLASTOM
建立精细的胶质母细胞分子递归分区分析模型
- 批准号:
7944134 - 财政年份:2009
- 资助金额:
$ 27.27万 - 项目类别:
TOWARDS A REFINED MOLECULAR RECURSIVE PARTITIONING ANALYSIS MODEL FOR GLIOBLASTOM
建立精细的胶质母细胞分子递归分区分析模型
- 批准号:
7853814 - 财政年份:2009
- 资助金额:
$ 27.27万 - 项目类别:
Predictive Markers to Personalize Medicine for Malignant Glioma
恶性胶质瘤个性化医疗的预测标记
- 批准号:
8588569 - 财政年份:2008
- 资助金额:
$ 27.27万 - 项目类别:
Predictive Markers to Personalize Medicine for Malignant Glioma
恶性胶质瘤个性化医疗的预测标记
- 批准号:
8753978 - 财政年份:2008
- 资助金额:
$ 27.27万 - 项目类别:
Predictive Markers to Personalize Medicine for Malignant Glioma
恶性胶质瘤个性化医疗的预测标记
- 批准号:
8918452 - 财政年份:2008
- 资助金额:
$ 27.27万 - 项目类别:
Predictive Markers to Personalize Medicine for Malignant Glioma
恶性胶质瘤个性化医疗的预测标记
- 批准号:
9128424 - 财政年份:2008
- 资助金额:
$ 27.27万 - 项目类别:
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