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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
Winger, Joseph Giles

Duke University
United States

Engage: A Randomized Controlled Trial Testing the Efficacy of a Telehealth-Delivered Psychosocial Intervention to Decrease Symptom Interference in Patients with Advanced Cancer 5R01CA291768-02 Brennan Streck, Ph.D., RN, M.P.H.
Winger, Joseph Giles

Duke University
United States

Engage: A Randomized Controlled Trial Testing the Efficacy of a Telehealth-Delivered Psychosocial Intervention to Decrease Symptom Interference in Patients with Advanced Cancer 5R01CA291768-02 Brennan Streck, Ph.D., RN, M.P.H.
Winger, Joseph Giles

Duke University
United States

Engage: A Randomized Controlled Trial Testing the Efficacy of a Telehealth-Delivered Psychosocial Intervention to Decrease Symptom Interference in Patients with Advanced Cancer 5R01CA291768-02 Brennan Streck, Ph.D., RN, M.P.H.
Winters-Stone, Kerri M

Oregon Health & Science University
United States

Patterns and predictors of symptoms, falls, and functioning across treatment and recovery in patients treated with neurotoxic chemotherapy for cancer 5R01CA248059-05 Goli Samimi, Ph.D., M.P.H.
Winters-Stone, Kerri M

Oregon Health & Science University
United States

Patterns and predictors of symptoms, falls, and functioning across treatment and recovery in patients treated with neurotoxic chemotherapy for cancer 5R01CA248059-05 Goli Samimi, Ph.D., M.P.H.
Wolpin, Brian Matthew

Dana-Farber Cancer Inst
United States

Altered metabolism and machine learning for pancreatic cancer early detection 5U01CA210171-09 Matthew Young, Ph.D.
Wong, David T

University Of California Los Angeles
United States

EFIRM Liquid Biopsy Research Laboratory: Early Lung Cancer Assessment 4U01CA233370-08 Nicholas Hodges, Ph.D.
Wright, Alexi A

Dana-Farber Cancer Inst
United States

Randomized trial of REVITALIZE: A telehealth intervention to reduce fatigue interference among adults with advanced ovarian cancer on PARP inhibitors 5R01CA289547-02 Goli Samimi, Ph.D., M.P.H.
Wright, Alexi A

Dana-Farber Cancer Inst
United States

Randomized trial of REVITALIZE: A telehealth intervention to reduce fatigue interference among adults with advanced ovarian cancer on PARP inhibitors 5R01CA289547-02 Goli Samimi, Ph.D., M.P.H.
Wu, Yun

State University Of New York At Buffalo
United States

Lung Cancer Early Detection and Immunotherapy Response Prediction and Monitoring with an Exo-PROS Liquid Biopsy Assay 4R01CA272827-04 Christos Patriotis, Ph.D., M.Sc.
Xiao, Yi

University Of Tx Md Anderson Can Ctr
United States

Exploring new strategy for breast cancer immunoprevention by targeting histamine receptor H1 5R21CA286318-02 Anda Vlad, M.D., Ph.D.
Xu, Chunhui

Emory University
United States

High-throughput assessment of chemotherapy-induced cardiotoxicity in 3D human cardiomyocytes 1R21CA285254-01A1 Eileen Dimond, R.N., M.S.
Xu, Chunhui

Emory University
United States

High-throughput assessment of chemotherapy-induced cardiotoxicity in 3D human cardiomyocytes 1R21CA285254-01A1 Eileen Dimond, R.N., M.S.
Xu, Xiangxi Mike

University Of Miami School Of Medicine
United States

Countering microtubule stabilization within hair follicles in ovarian cancer chemotherapy 5R01CA286527-02 Rachel Altshuler, Ph.D.
Xu, Xiangxi Mike

University Of Miami School Of Medicine
United States

Countering microtubule stabilization within hair follicles in ovarian cancer chemotherapy 5R01CA286527-02 Rachel Altshuler, Ph.D.

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