Collagen structural changes as an early biomarker for breast carcinoma

胶原蛋白结构变化作为乳腺癌的早期生物标志物

• 批准号: 9133341
• 负责人: Matthew W Conklin
• 金额: $ 46.47万
• 依托单位: UNIVERSITY OF WISCONSIN-MADISON
• 依托单位国家: 美国
• 财政年份: 2015
• 资助国家: 美国
• 起止时间: 2015-09-01 至 2020-08-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/9133341
• 关键词: Address; Adoption; Age; Archives; Aspirate substance; Attention; Benign; Biological Markers; Biometry; Biopsy; Breast; Breast Cancer Detection; Breast Carcinoma; Breast Diseases; Cells; Clinical; Collagen; Collagen Fiber; Computer software; Data; Deposition; Diagnosis; Diagnostic Neoplasm Staging; Disease; Disease Progression; Early Diagnosis; Epithelial Cells; Extracellular Matrix; Fiber; Freezing; Future; Generations; Gland; Global Change; Glycoproteins; Goals; Health; Hematoxylin and Eosin Staining Method; Heterogeneity; Human; Image; Image Analysis; Image Guided Biopsy; In Situ Lesion; Incidence; Knowledge; Length; Lesion; Life; Link; Machine Learning; Malignant Neoplasms; Mammary Gland Parenchyma; Mammographic Density; Mammography; Mass Spectrum Analysis; Measures; Menopause; Microscopy; Milk; Needles; Noise; Noninfiltrating Intraductal Carcinoma; Normal Range; Normal tissue morphology; Obesity; Outcome; Patient-Focused Outcomes; Patients; Physicians; Post-Translational Protein Processing; Procedures; Proteins; Proteomics; Recurrence; Risk; Risk Marker; Sampling; Screening for cancer; Signal Transduction; Slide; Sorting - Cell Movement; Staging; Staining method; Stains; Statutes and Laws; Stromal Neoplasm; Structure; Techniques; Time; Tissue Banking; Tissue Banks; Tissue Sample; Tissues; Width; Woman; aggressive therapy; base; breast density; breast surgery; cohort; density; high risk; imaging biomarker; improved; indexing; malignant breast neoplasm; meetings; minimally invasive; mortality; population health; protein expression; research study; scaffold; screening; second harmonic; support network; survival prediction; tumor; tumor microenvironment; tumor progression; volunteer

 DESCRIPTION (provided by applicant): We propose that collagen features, such as alignment, fiber straightness and width, and other features of extracellular matrix composition can be used as an early biomarker of breast cancer. It is the goal of this proposal to determine the range of collagen structural features that characterize normal, benign and early disease, to determine how these features relate to mammographic density, and to identify the features that best predict risk, recurrence, and progression. This proposal leverages a diverse collaborative team that includes experts in imaging and understanding the tumor microenvironment, breast surgery, experts in population health and biostatistics, and an expert in proteomic analysis of the ECM. This team will analyze a set of patient cohorts to develop imaging and analysis of collagen structure and ECM composition as a potential early biomarker for breast cancer. Aims: 1) Characterize collagen features that define heterogeneity of the normal state. 2) Characterize collagen features in pre- and early breast cancer lesions. 3) Characterize the proteomics of biopsies representing benign, at risk, and invasive breast cancer. Significance: This project meets the goals of the RFA to develop and validate combined imaging and biomarker approaches to improve early cancer detection and the diagnosis of early-stage cancers. Our findings have the potential to reduce overdiagnosis and false positives and discern lethal from non-lethal disease.