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Coordinating & Data Management Center

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Logo for MD Anderson Cancer Center

The University of Texas MD Anderson Cancer Center is honored to be designated as the Coordinating and Data Management Center (CDMC) by the National Institute of Diabetes and Digestive and Kidney Diseases and National Cancer Institute for the study of Chronic Pancreatitis, Diabetes, and Pancreatic Cancer (CPDPC) Research Consortia.

This honor aligns with our mission to eliminate cancer in Texas, the nation, and the world through outstanding programs that integrate patient care, research, and prevention, and through education for undergraduate and graduate students, trainees, professionals, employees, and the public.

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The Department of Biostatistics at MD Anderson provides statistical collaboration, consultation, and quantitative research resources to clinical, laboratory, and prevention scientists, and engages in the planning, conduct, analysis, quality assurance, and interpretation of research studies. The faculty develop new statistical methodology to support cancer research: innovative clinical trial designs, Bayesian methods; longitudinal and survival data analysis; cancer screening and early detection; computer-intensive statistical methods for integrated high dimensional omics data analysis; functional, imaging, and biomarker data analysis; statistical modeling of observational processes; biological and medical informatics. The Department is supported by a Quantitative Research Computing (QRC) group, consisting of an Associate Director, 4 system and network administrators and a staff of 23 programmers who specialize in clinical trial software, data management, Bayesian numerical analysis, and bioinformatics and computational biology software engineering.

Coordinating and Data Management Center
Department and Expertise

The University of Texas MD Anderson Cancer Center is located within the Texas Medical Center, a 700-acre campus south of downtown Houston home to 46 not-for-profit institutions dedicated to providing the highest quality of medical care and conducting state-of-the-art research. MD Anderson Cancer Center provides world-class shared resources such as the Clinical and Translational Research Center, Research Animal Support Facility, Tissue Biospecimen and Pathology Resource, RNA sequencing facilities, and many others under the auspices of the Cancer Center Support Grant. MD Anderson is also home to the Institute for Personalized Cancer Therapy, dedicated to discovering biomarkers that predict treatment response and mechanisms of acquired resistance.

Coordinating and Data Management Center
Facilities and Resources
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Coordinating and Data Management Center
Principal Investigators
Photo of Dr. Liang Li, Ph.D.
Dr. Liang Li, Ph.D.

Dr. Liang Li is a Professor at the Department of Biostatistics, University of Texas MD Anderson Cancer Center. Learn more about Dr. Liang Li's research on his faculty profile at MD Anderson Cancer Center.

Facilities and Resources
Coordinating and Data Management Center
Photo of Dr. Ying Yuan, Ph.D.
Dr. Ying Yuan, Ph.D.

Dr. Ying Yuan is a Professor at the Department of Biostatistics, University of Texas MD Anderson Cancer Center. Learn more about Dr. Ying Yuan's research on his faculty profile at MD Anderson Cancer Center.

Photo of Dr. Liang Li, Ph.D.
Dr. Liang Li, Ph.D.

Dr. Liang Li is a Professor at the Department of Biostatistics, University of Texas MD Anderson Cancer Center. Learn more about Dr. Liang Li's research on his faculty profile at MD Anderson Cancer Center.

Photo of Dr. Ying Yuan, Ph.D.
Dr. Ying Yuan, Ph.D.

Dr. Ying Yuan is a Professor at the Department of Biostatistics, University of Texas MD Anderson Cancer Center. Learn more about Dr. Ying Yuan's research on his faculty profile at MD Anderson Cancer Center.

Photo of Dr. Liang Li, Ph.D.
Dr. Liang Li, Ph.D.

Dr. Liang Li is a Professor at the Department of Biostatistics, University of Texas MD Anderson Cancer Center. Learn more about Dr. Liang Li's research on his faculty profile at MD Anderson Cancer Center.

The proposed study is highly relevant to public health because pancreatic cancer is the 4th largest killer among all cancers yet, there are no effective ways for prevention or detection at a curable stage. Understanding the complex relationships between chronic pancreatitis, new-onset diabetes, and pancreatic cancer holds the key to finding effective interventions. Rigorous evaluation of the molecular basis for chronic pancreatitis, new-onset diabetes, and pancreatic cancer will lead to effective interventions and is therefore imperative for public health.

Public Health Relevance Statement

Coordinating and Data Management Center
NIH Project Information

A key to the success of the Consortium for the Study of Chronic Pancreatitis, Diabetes and Pancreatic Cancer (Consortium) lies in effective communication and collaboration among scientists in multiple disciplines; strong study design for discovery and validation of biomarkers characterizing complex interactions between chronic pancreatitis (CP), diabetes mellitus (DM), and pancreatic cancer (PC) and evaluation of novel intervention strategies; and rigorous study execution of Consortium collaborative protocols.

 

The overall aims of the proposed Coordination and Data Management Center (CDMC) are to:

  1. Provide coordination of the Consortium to enhance communication and collaboration among Consortium investigators and with the larger scientific communities;

  2. Provide scientific and statistical leadership for the Consortium in research strategy, study design approaches, and statistical and computational methods; and,

  3. Coordinate Consortium collaborative studies.

 

Under the direction of the Consortium Steering Committee (SC), the CDMC will:

  1. Perform network coordination and promote collaborations among scientific investigators by providing support for Consortium meetings, SC, subcommittees, and Data Safety and Monitoring Board, developing and maintaining Consortium-secured websites and listservs, and producing and maintaining all Consortium documents;

  2. Promote and develop proper study design approaches and analysis strategies for Consortium studies, provide statistical software to implement these strategies, provide statistical and computational support for Consortium collaborative studies, apply or develop novel statistical methods relevant to Consortium needs, in particular methods for dynamic prediction of PDAC risk in the Consortium cohort, methods for handling informative censoring in the Consortium cohort, and methods for group sequential biomarker evaluations; and

  3. Support Consortium collaborative studies by developing and maintaining the study data management system, working with Consortium investigators on study design, protocol development, data forms, and study manuals; coordinating and monitoring studies; tracking specimens; and performing QA/QC and study evaluation; providing input on appropriate interpretation of study findings and reports; supporting the formation of distribution of Consortium biospecimen repositories; support preparations of documentations to FDA for Consortium INDs/IVDs, and providing a mechanism for rapid and routine information sharing among Consortium investigators and NIDDK/NCI staff.

Members:
Alexander (Alex) S. McCurdy, MPH

Alexander (Alex) S. McCurdy, MPH

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Amy (Yingming) Liu, MS

Amy (Yingming) Liu, MS

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Anirban Maitra, MBBS

Anirban Maitra, MBBS

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Bria G. Taylor, MPS

Bria G. Taylor, MPS

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Calvin B. Harris, MS

Calvin B. Harris, MS

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Rama K. Gundabhat, MS

Rama K. Gundabhat, MS

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Sarah Cancelmo Graham, MPH, CCRP

Sarah Cancelmo Graham, MPH, CCRP

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Sasmita Mohanty, MHA, MS

Sasmita Mohanty, MHA, MS

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Timothy (Tim) R. Newell

Timothy (Tim) R. Newell

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Vadeerat Rinsurongkawong, PhD

Vadeerat Rinsurongkawong, PhD

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