Grants

PI Name PI Organization Title Grant Number Initiative Program Director
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.
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.
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, 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.
Li, Wenyuan

University Of California Los Angeles
United States

 Informatics resources for liquid biopsy research 5U01CA237711-03 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.