Statistical Methods For Quantitative Immunohistochemistry Biomarkers
定量免疫组织化学生物标志物的统计方法
基本信息
- 批准号:10083722
- 负责人:
- 金额:$ 35.55万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2019
- 资助国家:美国
- 起止时间:2019-02-01 至 2024-01-31
- 项目状态:已结题
- 来源:
- 关键词:AlgorithmsAntibodiesBiological MarkersBreast Cancer PatientCancer PatientCancerousCell physiologyCellsClinical ManagementClinical ResearchClinical TrialsComputer softwareDataDatabasesDetectionDevelopmentDiseaseElementsEvaluationFluorescenceFundingGoalsGrantHeterogeneityHistologicHistologyImageImage AnalysisImmunofluorescence ImmunologicImmunohistochemistryIndividualInstitutionMalignant NeoplasmsMeasuresMedical OncologistMethodsModelingMolecular ProfilingPathologistPathologyPatient RecruitmentsPatientsPatternPhosphorylationPopulationPost-Translational Protein ProcessingPrediction of Response to TherapyProcessPrognosisPrognostic MarkerProteinsReaderRecurrenceResearch PersonnelRiskSamplingScanningSignal TransductionSlideSoftware ToolsSolidStainsStatistical MethodsSurgeonSystems AnalysisTechniquesTechnologyTissue MicroarrayTissuesTreesTumor MarkersTumor TissueValidationbasebiomarker developmentbiomarker discoverybiomarker-drivencancer biomarkerscancer cellcancer therapycell typeclinical practicecohortdata resourcedesigndigitaldigital imagingdrug response predictionexpectationflexibilityimage processingimprovedindexinginnovative technologiesinterestmalignant breast neoplasmmethod developmentmortalitymultidisciplinarynovelnovel therapeuticsoptimal treatmentspersonalized medicinepredict clinical outcomepredicting responseprognosticprognostic valueprotein biomarkersprotein expressionquantitative imagingresponsestatisticstumoruser friendly softwareuser-friendly
项目摘要
PROJECT SUMMARY
Immunohistochemistry (IHC) is widely used to classify cancer and guide clinical management of patients. A
major power of IHC is the detection of markers in the spatially resolved context of tumor tissue, including
cancerous and stromal elements, individual cell types, and subcellular compartments. Quantitative
Immunofluorescence (QIF) is used increasingly for IHC quantification of proteins that may serve as prognostic
biomarkers or targets for specific cancer therapies. A common application of QIF is simultaneous slide-based
analysis of certain protein expression using tissue microarrays (TMAs), which incorporate tumor tissues from
large cohorts of patients. This technology combined with machine readers allows for high-throughput molecular
profiling of tumor tissues and rapid development and validation of new prognostic and predictive cancer
biomarkers.
The overall goal of our proposal is to develop an analytical framework of for discovery of new IHC
biomarkers to improve prognostication and drug response prediction. The new statistical methods will be
tailored to use the rich and untapped information on cell-level protein expression levels. Novel QIF IHC
biomarkers will be optimized as flexible indices based either on distribution functions of cell-level protein
expressions or on the spatial localization of the IHC signals viewed as marks of the spatial point pattern of
cancer cells. The proposed studies will yield broadly applicable methods for development of new biomarkers in
cancer. The improved biomarkers would support rational recruitment of patients at elevated risk of recurrence
into biomarker-driven clinical trials, with a potential to have major near-term impact on clinical research and
reduce mortality from cancer.
项目总结
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
数据更新时间:{{ journalArticles.updateTime }}
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
数据更新时间:{{ journalArticles.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ monograph.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ sciAawards.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ conferencePapers.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ patent.updateTime }}
Inna Chervoneva其他文献
Inna Chervoneva的其他文献
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
{{ truncateString('Inna Chervoneva', 18)}}的其他基金
WNT pathway-driven anti-estrogen therapy resistance in breast cancer
WNT 通路驱动的乳腺癌抗雌激素治疗耐药
- 批准号:
10606977 - 财政年份:2022
- 资助金额:
$ 35.55万 - 项目类别:
Statistical Methods For Quantitative Immunohistochemistry Biomarkers
定量免疫组织化学生物标志物的统计方法
- 批准号:
10331802 - 财政年份:2019
- 资助金额:
$ 35.55万 - 项目类别:
Statistical Methods For Quantitative Immunohistochemistry Biomarkers
定量免疫组织化学生物标志物的统计方法
- 批准号:
10559505 - 财政年份:2019
- 资助金额:
$ 35.55万 - 项目类别:
Semiparametric Methods for Efficiency-Adjusted Relative qRT-PCR Quantification
用于效率调整的相对 qRT-PCR 定量的半参数方法
- 批准号:
8288712 - 财政年份:2011
- 资助金额:
$ 35.55万 - 项目类别:
Semiparametric Methods for Efficiency-Adjusted Relative qRT-PCR Quantification
用于效率调整的相对 qRT-PCR 定量的半参数方法
- 批准号:
8195291 - 财政年份:2011
- 资助金额:
$ 35.55万 - 项目类别:
Statistical Functional Data Analysis Models of Glucose and Insulin Kinetics
葡萄糖和胰岛素动力学的统计功能数据分析模型
- 批准号:
7588258 - 财政年份:2009
- 资助金额:
$ 35.55万 - 项目类别:
Statistical Functional Data Analysis Models of Glucose and Insulin Kinetics
葡萄糖和胰岛素动力学的统计功能数据分析模型
- 批准号:
7777399 - 财政年份:2009
- 资助金额:
$ 35.55万 - 项目类别:
Robust Hierarchical Finite Mixture Modeling of Collagen Fibril Diameters
胶原原纤维直径的鲁棒分层有限混合建模
- 批准号:
7388220 - 财政年份:2007
- 资助金额:
$ 35.55万 - 项目类别:
Robust Hierarchical Finite Mixture Modeling of Collagen Fibril Diameters
胶原原纤维直径的鲁棒分层有限混合建模
- 批准号:
7258275 - 财政年份:2007
- 资助金额:
$ 35.55万 - 项目类别:
相似海外基金
University of Aberdeen and Vertebrate Antibodies Limited KTP 23_24 R1
阿伯丁大学和脊椎动物抗体有限公司 KTP 23_24 R1
- 批准号:
10073243 - 财政年份:2024
- 资助金额:
$ 35.55万 - 项目类别:
Knowledge Transfer Partnership
Role of Natural Antibodies and B1 cells in Fibroproliferative Lung Disease
天然抗体和 B1 细胞在纤维增生性肺病中的作用
- 批准号:
10752129 - 财政年份:2024
- 资助金额:
$ 35.55万 - 项目类别:
CAREER: Next-generation protease inhibitor discovery with chemically diversified antibodies
职业:利用化学多样化的抗体发现下一代蛋白酶抑制剂
- 批准号:
2339201 - 财政年份:2024
- 资助金额:
$ 35.55万 - 项目类别:
Continuing Grant
Isolation and characterisation of monoclonal antibodies for the treatment or prevention of antibiotic resistant Acinetobacter baumannii infections
用于治疗或预防抗生素耐药鲍曼不动杆菌感染的单克隆抗体的分离和表征
- 批准号:
MR/Y008693/1 - 财政年份:2024
- 资助金额:
$ 35.55万 - 项目类别:
Research Grant
Developing first-in-class aggregation-specific antibodies for a severe genetic neurological disease
开发针对严重遗传神经系统疾病的一流聚集特异性抗体
- 批准号:
10076445 - 财政年份:2023
- 资助金额:
$ 35.55万 - 项目类别:
Grant for R&D
Discovery of novel nodal antibodies in the central nervous system demyelinating diseases and elucidation of the mechanisms through an optic nerve demyelination model
发现中枢神经系统脱髓鞘疾病中的新型节点抗体并通过视神经脱髓鞘模型阐明其机制
- 批准号:
23K14783 - 财政年份:2023
- 资助金额:
$ 35.55万 - 项目类别:
Grant-in-Aid for Early-Career Scientists
Elucidation of the mechanisms controlling the physicochemical properties and functions of supercharged antibodies and development of their applications
阐明控制超电荷抗体的理化性质和功能的机制及其应用开发
- 批准号:
23KJ0394 - 财政年份:2023
- 资助金额:
$ 35.55万 - 项目类别:
Grant-in-Aid for JSPS Fellows
Role of antibodies in hepatitis E virus infection
抗体在戊型肝炎病毒感染中的作用
- 批准号:
10639161 - 财政年份:2023
- 资助金额:
$ 35.55万 - 项目类别:
Defining the protective or pathologic role of antibodies in Post-Ebola Syndrome
定义抗体在埃博拉后综合症中的保护或病理作用
- 批准号:
10752441 - 财政年份:2023
- 资助金额:
$ 35.55万 - 项目类别:
Human CMV monoclonal antibodies as therapeutics to inhibit virus infection and dissemination
人 CMV 单克隆抗体作为抑制病毒感染和传播的治疗药物
- 批准号:
10867639 - 财政年份:2023
- 资助金额:
$ 35.55万 - 项目类别: