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Pancreatic Cancer Detection Consortium (PCDC)

The Pancreatic Cancer Detection Consortium (PCDC) develops and tests new molecular and imaging biomarkers to detect early stage pancreatic ductal adenocarcinoma (PDAC) and its precursor lesions. These biomarkers would be used to identify individuals who are at high risk of developing PDAC and are candidates for early intervention.

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The Recalcitrant Cancer Research Act of 2012 called on the National Cancer Institute (NCI) to develop scientific frameworks for research on recalcitrant cancers that have a 5-year relative survival rate of less than 20% and are estimated to cause the death of at least 30,000 individuals in the United States per year.

About PCDC

Pancreatic cancer is a recalcitrant cancer with a 5-year relative survival rate of less than 13% and resulting in nearly 52,000 deaths each year (Source: SEER Stat Fact Sheets: Pancreatic Cancer). NCI’s 2014 Scientific Framework for Pancreatic Ductal Adenocarcinoma identified four research priorities. These priorities were in part based on the recommendations of an expert panel of extramural scientists convened by the NCI in October 2012. One of the specific initiatives recommended by this panel was "evaluating longitudinal screening protocols concomitant with development of new molecular and imaging biomarkers for patients at high risk for PDAC (because of genetic factors or the presence of mucinous pancreatic cysts) who could be candidates for early surgical intervention."

Objectives of the Consortium

The main objective of the consortium is to develop and test new molecular and imaging biomarkers to improve the detection of early stage pancreatic ductal adenocarcinoma (PDAC) and its precursor lesions and identify individuals who are at high risk of developing PDAC and are candidates for early intervention.

The scope of the studies include, but are not limited to:

  • Development of more accurate and sensitive imaging methods to detect early stage PDAC and PanIN-3s that could be used to select patients for surgical intervention (imaging modalities can be anatomical, functional, or molecular);
  • Development and validation of biomarkers to detect early stage PDAC and precursor lesions that could be used to select patients for surgical intervention;
  • Development and integration of imaging approaches and multiplexed biomarker panels;
  • Development of imageable biomarkers yielding 3D localization of PDAC and high-grade precursor lesions;
  • Evaluation of longitudinal screening protocols using patients at high risk of developing pancreatic cancer;
  • Evaluation of longitudinal screening protocols of patients with resected PDAC with subsequent follow-ups using imagining modalities;
  • Longitudinal collection of samples and images from patients with pancreatic cysts to determine those lesions that are likely to progress to adenocarcinoma within a defined period (e.g., 3 years), and determination of cysts with high malignant potential that are resectable;
  • Development of novel methods to obtain and interrogate pancreatic tissues containing preneoplastic lesions.

Grantee Details

The participating institutions include U01 grants to Research Units (PAR-21-334) and a U24 grant to the Management and Data Coordination Unit (PAR-21-335).

PI Name Sort descending PI Organization Title Grant Number Program Official
Taratula, Oleh

Oregon State University
United States

Novel Nanomedicine-Based Therapeutic Approach For Treatment of Cancer Cachexia 5R37CA234006-07 Brandy Heckman-Stoddard, Ph.D., M.P.H.
Taratula, Oleh

Oregon State University
United States

Novel Nanomedicine-Based Therapeutic Approach For Treatment of Cancer Cachexia 5R37CA234006-07 Brandy Heckman-Stoddard, Ph.D., M.P.H.
Tayob, Nabihah

Dana-Farber Cancer Inst
United States

Biomarker screening algorithms for the improved early detection of hepatocellular carcinoma 5R01CA230503-07 Nicholas Hodges, Ph.D.
Tearney, Guillermo J

Massachusetts General Hospital
United States

Colorectal Cancer Screening with Optical Coherence Tomography 5R01CA280972-02 Matthew Young, Ph.D.
Temprosa, Marinella

George Washington University
United States

22/22 Limited Competition for the Continuation of the Diabetes Prevention Program Outcomes Study (DPPOS) – Biostatistics Center 2U01DK048489-28 Brandy Heckman-Stoddard, Ph.D., M.P.H.
Tennis, Meredith A

University Of Colorado Denver
United States

Persistence and regression in lung premalignant lesions 1R01CA289576-01A1 Malgorzata Wojtowicz, M.D.
Tennis, Meredith A

University Of Colorado Denver
United States

Modeling lung squamous cell carcinoma premalignancy and prevention 1R01CA298925-01
Terry, Kathryn L.

Brigham And Women'S Hospital
United States

Changing Contraceptive Patterns and Ovarian Cancer Risk 5R01CA258679-05 Goli Samimi, Ph.D., M.P.H.
Tewari, Ashutosh K

Icahn School Of Medicine At Mount Sinai
United States

Artificial intelligence enabled Stroma-Weighted Automated Grading system to improve risk stratification in Black Men 1R01CA290438-01A1 Indu Kohaar, Ph.D., M.Phil., M.Sc.
Thakur, Mathew Laxman

Thomas Jefferson University
United States

Noninvasive, Uniplex, Molecular, Pathomic Urinary Assay for Detection of Prostate Cancer 5R01CA249921-05
Thangaraju, Muthusamy

Augusta University
United States

Bacteria-derived xenobiotics in colon cancer prevention: Link to GPR109A and colonic ketogenesis 5R01CA275840-03
Thompson, Patricia Ann

University Of Arizona
United States

University of Arizona Cancer Prevention Clinical Trials Network 2UG1CA242596-07 Donald Johnsey
Thompson, Patricia Ann

State University New York Stony Brook
United States

Three-Arm randomized trial comparing the effect of aspirin, sulindac or no treatment control on breast density in patients with elevated breast cancer risk 5R01CA235720-05 Edward Sauter, M.D., Ph.D.
Tollefsbol, Trygve O

University Of Alabama At Birmingham
United States

Combinatorial epigenetic-based prevention of breast cancer 5R01CA178441-10 Gabriela Riscuta, M.D., CNS
Tong, Frank

Vanderbilt University
United States

Learning the visual and cognitive bases of lung nodule detection 5R01CA240274-05

The Alliance of Pancreatic Cancer Consortia for Biomarkers for Early Detection Workshop

In order to bring together investigators funded through NCI-supported programs on pancreatic cancer detection and stakeholders that are supporting biomarker research on pancreatic cancer to discuss and debate existing or newly developed biomarkers that are likely to change the clinical management of pancreatic cancer in the coming years, the NCI, the Kenner Family Research Fund and the Pancreatic Cancer Action Network organized a “Data Jamboree on Biomarkers” workshop in December 2016. The expected outcome of this meeting was to identify a set of biomarkers/imaging or combined modalities that could be further tested and validated through the PCDC and the Early Detection Research Network (EDRN).

Representatives from four NCI-supported consortia on pancreatic cancer detection were invited to participate in this workshop. Other invited participants included representatives from the Kenner Family Research Fund- and the Pancreatic Cancer Action Network-supported researchers and from industry.

A synopsis of this workshop has been published in 2018.

Citation: Young MR, Wagner PD, Ghosh S, Rinaudo JA, Baker SG, Zaret KS, Goggins M, Srivastava S. Validation of Biomarkers for Early Detection of Pancreatic Cancer: Summary of The Alliance of Pancreatic Cancer Consortia for Biomarkers for Early Detection Workshop. Pancreas. 2018 Feb;47(2):135-141. doi: 10.1097/MPA.0000000000000973. PMID: 29346214; PMCID: PMC5777224.

Program Contact(s)

Sudhir Srivastava, Ph.D., M.P.H.
Email: sudhir.srivastava@nih.gov

Matthew Young, Ph.D.
Co-lead Program Director
Email: matthew.young@nih.gov

Guillermo Marquez, Ph.D.
Program Director
Email: guillermo.marquez@nih.gov