Archived human tissues are an essential resource for translational research. Formalin-fixed, paraffin-embedded (FFPE) tissues from cancer patients are used in a wide range of assays, including RT-PCR, SNP profiling, multiplex biomarkers, imaging biomarkers, targeted exome, whole exome, and whole genome sequencing. Remainder FFPE tissues generated during patient care are 'retrospective'; use of these tissues under specific conditions does not require consent. For personalized medicine researchers, these specimens are vital resources enabling biomarker validation, detailed molecular analysis, and systems modeling before application is made to individual patients. But access to these human tissues is often a rate limiting factor in cancer research. We propose advanced development of the TIES software to (1) increase institutional capacity for using FFPE to support molecular characterization of human tumors, (2) increase access to tissues within cancer centers, and (3) improve the ability to share tissues and associated phenotype data among cancer centers.

Public Health Relevance

This work proposes the development of a software system that will enhance the ability of cancer researchers to find and use human tissues and accompanying electronic data for scientific research. By increasing access to tissues and data, this work seeks to increase the speed of scientific discoveries that will ultimately impact cancer patients.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Resource-Related Research Projects--Cooperative Agreements (U24)
Project #
5U24CA180921-05
Application #
9324915
Study Section
Special Emphasis Panel (ZCA1)
Program Officer
Ganguly, Aniruddha
Project Start
2013-09-25
Project End
2019-01-31
Budget Start
2017-08-01
Budget End
2019-01-31
Support Year
5
Fiscal Year
2017
Total Cost
Indirect Cost
Name
University of Pittsburgh
Department
Miscellaneous
Type
Schools of Medicine
DUNS #
004514360
City
Pittsburgh
State
PA
Country
United States
Zip Code
15213
Khoury, Thaer; Gaudioso, Carmelo; Fang, Yisheng V et al. (2018) The role of skin ulceration in breast carcinoma staging and outcome. Breast J 24:41-50
Tseytlin, Eugene; Mitchell, Kevin; Legowski, Elizabeth et al. (2016) NOBLE - Flexible concept recognition for large-scale biomedical natural language processing. BMC Bioinformatics 17:32
Jacobson, Rebecca S; Becich, Michael J; Bollag, Roni J et al. (2015) A Federated Network for Translational Cancer Research Using Clinical Data and Biospecimens. Cancer Res 75:5194-201
Uttam, Shikhar; Pham, Hoa V; LaFace, Justin et al. (2015) Early Prediction of Cancer Progression by Depth-Resolved Nanoscale Mapping of Nuclear Architecture from Unstained Tissue Specimens. Cancer Res 75:4718-27
Amin, Waqas; Srinivasan, Malini; Song, Sang Yong et al. (2014) Use of automated image analysis in evaluation of Mesothelioma Tissue Microarray (TMA) from National Mesothelioma Virtual Bank. Pathol Res Pract 210:79-82
Maxwell, G Larry; Hood, Brian L; Day, Roger et al. (2011) Proteomic analysis of stage I endometrial cancer tissue: identification of proteins associated with oxidative processes and inflammation. Gynecol Oncol 121:586-94