Extending and Interpreting Molecular Portraits of Cancer

扩展和解释癌症的分子肖像

• 批准号: 7267647
• 负责人: PATRICK O. BROWN
• 金额: $ 31.52万
• 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/7267647
• 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识别新的分子靶点和治疗策略来改善癌症患者的诊断和治疗。该多学科项目强调利用系统的、高度平行的方法来对人类癌症进行分子表征，特别是使用DNA微阵列和组织微阵列来分析基因和蛋白质表达模式。核心假设是，癌症之间或癌症与其正常细胞对应物之间的任何临床重要差异都将伴随着基因表达程序的相应差异。该计划的研究项目包括：（1）旨在识别和表征癌症组织微环境中的细胞及其相互作用的研究，以及系统研究细胞对癌症重要分子信号的反应;（二）前列腺癌的研究，旨在了解临床意义和生物学基础的三个不同的分子亚型的前列腺癌发现在以前的工作，将基因表达模式与染色体改变相关联，并开发和评估新的预后标记物;（3）在小的早期乳腺癌中研究全球基因表达和分子多样性，并对基于基因表达的预后标准在预测这些早期癌症的临床过程中的性能进行关键评估;和（4）对软组织肉瘤中基因表达模式的大规模系统研究，旨在开发用于诊断这些癌症的新分子标记物和用于治疗这些癌症的新分子靶点，并提高我们对癌的共同特征基质增殖的理解。该计划由一个管理核心（核心C）和两个研究核心提供支持，管理核心将支持、组织和监督项目，两个研究核心是DNA微阵列信息学和生物统计学核心（核心A），将支持微阵列数据库用于归档、分析和公开分发该项目的数据，并为数据分析提供专家咨询和支持;以及组织微阵列核心（核心B），其将产生并提供组织微阵列、用于免疫染色和原位杂交的支持、用于组织病理学解释的支持以及自动化图像分析和图像数据库支持。