Extending and Interpreting Molecular Portraits of Cancer

扩展和解释癌症的分子肖像

• 批准号: 7442155
• 负责人: PATRICK O. BROWN
• 金额: $ 23.14万
• 依托单位: STANFORD UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2006
• 资助国家: 美国
• 起止时间: 2006-08-01 至 2011-06-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7442155
• 关键词: Archives; Biological; Biological Markers; Biostatistics Core; Cancer Biology; Carcinoma; Cells; Chromosome abnormality; Classification; Clinical; Consultations; DNA Microarray Chip; DNA Microarray format; Data; Data Analyses; Databases; Development; Diagnosis; Evaluation; Gene Expression; Gene Proteins; Human; Image; Image Analysis; In Situ Hybridization; Informatics; Investigation; Malignant Neoplasms; Malignant neoplasm of prostate; Molecular; Molecular Target; Patients; Pattern; Performance; Portraits; Prognostic Marker; Research; Research Project Grants; Signal Transduction; Staging; Supervision; Tissue Microarray; Tissues; Work; base; cancer classification; cancer therapy; improved; malignant breast neoplasm; multidisciplinary; prognostic; programs; protein expression; response; sarcoma

DESCRIPTION (provided by applicant):This program project seeks to improve the diagnosis and treatment of patients with cancer through a better understanding of cancer biology, improvements in cancer classification and diagnosis, and identification of new molecular targets and strategies for treatment. The multidisciplinary program emphasizes exploits systematic, highly parallel approaches to the molecular characterization of human cancer, particularly the use of DNA microarrays and tissue microarrays to profile gene and protein expression patterns. The central hypothesis is that any clinically important differences among cancers, or between cancers and their normal cellular counterparts, will be accompanied by a corresponding difference in gene expression programs. The research projects in this program include (1) a study aimed at identifying and characterizing the cells in the microenvironment of cancer tissues and their interactions, and; a systematic study of the cellular responses to molecular signals important in cancer; (2) a study of prostate cancer aimed at understanding the clinical implications and the biological basis of three distinct molecular subtypes of prostate cancer discovered in previous work, relating patterns of gene expression to chromosomal alterations, and developing and evaluating new prognostic markers; (3) a study of global gene expression and molecular diversity, in small, early stage breast cancers and a critical evaluation of the performance of gene-expression based prognostic criteria in predicting the clinical course of these early cancers; and (4) a large systematic investigation of the gene expression patterns in soft-tissue sarcomas, aimed at development of new molecular markers for diagnosis and new molecular targets for therapy of these cancers, and at improving our understanding of the stromal proliferation that is a common features of carcinomas. The program is supported by an administrative core (Core C) that will support, organize and provide supervision of the projects, and two research cores - a DNA microarray informatics and biostatistics core (Core A) that will support a microarray database for archiving, analysis and public distribution of data from this project and provide expert consultation and support for data analysis; and a tissue microarray core (Core B) that will produce and provide tissue microarrays, support for immunostaining and in situ hybridization, support for histopathological interpretation, and automated image analysis and image database support.

描述（由申请人提供）：该计划项目旨在通过更好地了解癌症生物学，改善癌症分类和诊断以及确定新的分子靶标和治疗策略，以改善癌症患者的诊断和治疗。多学科计划强调利用人类癌症分子表征的系统，高度平行的方法，尤其是使用DNA微阵列和组织微阵列来介绍基因和蛋白质表达模式。中心假设是，癌症或癌症及其正常细胞对应物之间的任何临床上重要差异都将伴随基因表达程序的相应差异。该计划中的研究项目包括（1）一项旨在识别和表征癌症组织微环境中细胞及其相互作用的细胞的研究，以及；对在癌症中重要的细胞反应的系统研究； （2）对前列腺癌的研究，旨在理解先前工作中发现的三种不同的前列腺癌分子亚型的临床意义和生物学基础，将基因表达的模式与染色体变化有关，并发展和评估新的预后标记。 （3）对全球基因表达和分子多样性的研究，在小型的早期乳腺癌中，以及对基于基因表达的预后标准的性能进行批判性评估，以预测这些早期癌症的临床过程； （4）对软组织肉瘤中基因表达模式进行的大规模系统研究，旨在开发用于诊断的新分子标记和用于治疗这些癌症的新分子靶标，并提高我们对基质增生的理解，这是癌的常见特征。该计划得到了一个行政核心（核心C）的支持，该核心将支持，组织和提供对项目的监督，以及两个研究核心 - DNA微阵列信息学和生物统计学核心（核心A），该核心（核心A）将支持一个微阵列数据库，用于归档，分析和公共分布来自该项目的数据，并提供专家咨询和对数据分析的专家咨询和支持；以及将产生和提供组织微阵列，支持免疫染色和原位杂交，对组织病理学解释的支持以及自动图像分析和图像数据库支持的组织微阵列核心（核心B）。