Grants

PI Name PI Organization Title Grant Number Initiative Program Director
Lin, Daniel W.

Fred Hutchinson Cancer Center
United States

 Prostate cancer Active Surveillance Study (PASS) Cohort: Infrastructure Support for Cancer Research 5U01CA224255-05 Richard Mazurchuk, Ph.D.
Lin, Daniel W.

Fred Hutchinson Cancer Center
United States

 Evaluation of commercially available prostate cancer assays to accelerate novel applications in active surveillance 6UH3CA234196-04 PAR-18-310 Richard Mazurchuk, Ph.D.
Liang, Han

University Of Tx Md Anderson Can Ctr
United States

 The Cancer Proteome Atlas: an Integrated Bioinformatics Resource for Functional Cancer Proteomic Data 1U24CA264128-01A1 RFA-CA-21-015 (U24 Clinical Trial Optional) Christos Patriotis, Ph.D., M.Sc.
Li, Debiao

Cedars-Sinai Medical Center
United States

 Predicting Pancreatic Ductal Adenocarcinoma (PDAC) Through Artificial Intelligence Analysis of Pre-Diagnostic CT Images 5R01CA260955-02 PA-20-185 (Parent R01 Clinical Trial Not Allowed) Matthew Young, Ph.D.
Li, Wenyuan

University Of California Los Angeles
United States

 Informatics resources for liquid biopsy research 5U01CA237711-03 Christos Patriotis, Ph.D., M.Sc.
Li, Bo

Ut Southwestern Medical Center
United States

 Tracking Peripheral T-Cell Repertoire Changes for Preoperative and Early Ovarian Cancer Diagnosis 5R01CA258524-02 PA-20-185 (Parent R01 Clinical Trial Not Allowed) Christos Patriotis, Ph.D., M.Sc.
Levy, Barcey Thurston

University Of Iowa
United States

 Comparative Effectiveness of Fecal Immunochemical Tests with Optical Colonoscopy 5R01CA215034-05 Matthew Young, Ph.D.
Lenburg, Marc Elliott

Boston University Medical Campus
United States

 Molecular and Imaging Biomarkers for Early Lung Cancer Detection in the Setting of Indeterminate Pulmonary Nodules 5R01CA210360-06 Richard Mazurchuk, Ph.D.
Lee, Hakho

Massachusetts General Hospital
United States

 Early Detection through Novel OCEAN Technology - Ovarian Cancer Exosomal Analysis with Nanoplasmonics 5U01CA233360-05 Lynn Sorbara, Ph.D.
Lee, Juhun

University Of Pittsburgh At Pittsburgh
United States

 Detecting Mammographically-Occult Cancer in Women with Dense Breasts Using Digital Breast Tomosynthesis 1R01CA269540-01A1 PA-20-185 (Parent R01 Clinical Trial Not Allowed) Sharmistha Ghosh-Janjigian, Ph.D.