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Translational Liver Cancer (TLC) Consortium

The Translational Liver Cancer (TLC) Consortium was established to advance translational research focused on early detection of liver cancer. The consortium goals are to conduct studies to improve the surveillance of liver cancer in high-risk populations, increase the fraction of liver cancer detected at an early stage, and better stratify patients at risk of developing liver cancer.

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About TLC

Liver cancer is the third most common cause of cancer-related death worldwide, and in the United States, liver cancer represents about 5% of all cancer deaths. The incidence of hepatocellular carcinoma (HCC) is three times higher in men than women, and there are racial and ethnic differences in liver cancer occurrence. The liver cancer burden is higher in African Americans, Hispanics, and Asians. The etiological/risk factors for liver cancer include viral hepatitis (Hepatitis B virus and Hepatitis C virus), non-alcoholic steatohepatitis (NASH), and alcoholic liver disease (ALD). Approximately 80-90% of HCC occurs in patients with underlying liver cirrhosis. Patients with advanced cirrhosis represent a high-risk group for liver cancer. This Consortium consists of five Translational Research Centers (supported by RFA-CA-22-031, previously by RFA-CA-17-025) and one Data Management and Coordinating Center (supported by RFA-CA-22-032, previously by RFA-CA-17-028).

These multidisciplinary teams address the following areas:

  • Improving the surveillance for liver cancers in patients with cirrhosis;
  • Increasing the detectability of liver cancers at early stages; and/or
  • Approaches to better stratify patients with cirrhosis, who are at risk of developing liver cancer.

To achieve these goals, the consortium consists of clinical researchers with multidisciplinary expertise in such areas as early cancer detection, biomarkers, surveillance, imaging, and biospecimen science.

Grantee Details

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

Modeling lung squamous cell carcinoma premalignancy and prevention 1R01CA298925-01
Tennis, Meredith A

University Of Colorado Denver
United States

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

Program Contact(s)

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

Sidney Fu, M.D.
Email: sidney.fu@nih.gov

Matthew Young, Ph.D.
Email: matthew.young@nih.gov

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