The key for the Early Detection Research Network (EDRN)'s success lies in good communication among scientists in multiple disciplines;efficient evaluation and prioritization of promising biomarkers;and rigorous validation studies to demonstrate their clinical utility. The overall aims of the proposed renewal of the Data Management and Coordinating Center (DMCC) are to (i) provide coordination of EDRN in order to enhance communication and collaboration among EDRN investigators and with general scientific communities;(ii) coordinate EDRN validation studies;(iii) conduct theoretical and applied statistical research relevant to cancer risk prediction, early detection, and prognosis;and (iv) disseminate cancer biomarker information to broader scientific communities and public. Under the direction of the EDRN Steering Committee, the DMCC Will 1) perform network coordination and promote collaborations among scientific investigators by providing support for EDRN meetings and workshops, developing and maintaining EDRN secure websites and istservs, producing and maintaining all EDRN documents, and maintaining the online review system for applications submitted to the EDRN;2) support EDRN validation studies by developing and maintaining validation study data management systems;working with EDRN investigator on study design, protocol development, data forms, and study manuals;coordinating and monitoring studies;tracking specimens;and performing QA/QC and study evaluation;3) develop statistical methodologies and computational tools needed by EDRN for biomarker discovery and validation, with the emphasis on validation;and 4) work with NCI and JPL to provide informatic resources for the EDRN Secure Web site for data security, data warehouse, and data sharing, and a Public Website for dissemination.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Resource-Related Research Projects--Cooperative Agreements (U24)
Project #
5U24CA086368-12
Application #
8130940
Study Section
Special Emphasis Panel (ZCA1-SRLB-4 (M1))
Program Officer
Wagner, Paul D
Project Start
2000-04-14
Project End
2015-06-30
Budget Start
2011-07-01
Budget End
2012-06-30
Support Year
12
Fiscal Year
2011
Total Cost
$1,892,198
Indirect Cost
Name
Fred Hutchinson Cancer Research Center
Department
Type
DUNS #
078200995
City
Seattle
State
WA
Country
United States
Zip Code
98109
Tayob, Nabihah; Stingo, Francesco; Do, Kim-Anh et al. (2018) A Bayesian screening approach for hepatocellular carcinoma using multiple longitudinal biomarkers. Biometrics 74:249-259
Class, Caleb A; Ha, Min Jin; Baladandayuthapani, Veerabhadran et al. (2018) iDINGO-integrative differential network analysis in genomics with Shiny application. Bioinformatics 34:1243-1245
Fu, Rong; Wang, Pei; Ma, Weiping et al. (2017) A statistical method for detecting differentially expressed SNVs based on next-generation RNA-seq data. Biometrics 73:42-51
Barnett, Daniel; Liu, Ying; Partyka, Katie et al. (2017) The CA19-9 and Sialyl-TRA Antigens Define Separate Subpopulations of Pancreatic Cancer Cells. Sci Rep 7:4020
Newman, Lisa A; Stark, Azadeh; Chitale, Dhanajay et al. (2017) Association Between Benign Breast Disease in African American and White American Women and Subsequent Triple-Negative Breast Cancer. JAMA Oncol 3:1102-1106
Zheng, Yingye; Brown, Marshall; Lok, Anna et al. (2017) IMPROVING EFFICIENCY IN BIOMARKER INCREMENTAL VALUE EVALUATION UNDER TWO-PHASE DESIGNS. Ann Appl Stat 11:638-654
Maziarz, Marlena; Heagerty, Patrick; Cai, Tianxi et al. (2017) On longitudinal prediction with time-to-event outcome: Comparison of modeling options. Biometrics 73:83-93
Sanda, Martin G; Feng, Ziding; Howard, David H et al. (2017) Association Between Combined TMPRSS2:ERG and PCA3 RNA Urinary Testing and Detection of Aggressive Prostate Cancer. JAMA Oncol 3:1085-1093
Kim, Soyoung; Huang, Ying (2017) Combining biomarkers for classification with covariate adjustment. Stat Med 36:2347-2362
Zhou, Qian M; Dai, Wei; Zheng, Yingye et al. (2017) Robust Dynamic Risk Prediction with Longitudinal Studies. Stat Theory Relat Fields 1:159-170

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