Use of the GALAD score for serological prediction of hepatocellular carcinoma

• Restricted to UC San Diego use only

Hepatocellular carcinoma (HCC) continues to be one of the leading causes of death among cancer patients worldwide. HCC occurs in well-defined at-risk populations, with curative therapy possible only for small tumors, making it a potential target for creating new screening techniques. Imaging in conjunction with serum biomarker measurements have been the hallmark of HCC diagnosis, but have shown limited use as a surveillance tool. An objective, GALAD score is a serum biomarker-based statistical model that predicts the probability of having HCC in patients with chronic liver disease. Consisting of gender, age, AFP, AFP -L3, and des-gamma-carboxyprothrombin (DCP), the GALAD model improves upon prior biomarker measurements by analyzing an AFP glycoform more specific to malignant tumors and HCC inflammation, and a prothrombin precursor able to differentiate HCC from non-malignant liver disease. This retrospective study is focused on validating the use of the GALAD model as a potential HCC screening tool. Patients at risk for HCC who had AFP total & L3% and DCP measurements will be included in the study. HCC diagnosis will be made by imaging criteria and/or pathology when available. Etiologies of liver disease including hepatitis B, hepatitis C, alcohol, and non- alcoholic fatty liver disease will also be recorded. Comparison with existing GALAD model results will help demonstrate GALAD's utility as an HCC screening tool in the San Dieog and international populations

• 2018

• Nomura, Scott

1 online resource (7 unnumbered pages) : color illustration

Description based on online resource; title PDF cover page (viewed May 23, 2019)

Forms part of the UC San Diego School of Medicine independent study projects, Class of 2018

Includes bibliographical references

Title provided by the cataloger

• Academic Dissertations

• Dissertations, Academic--School of Medicine. (Discipline)--UCSD

• text

• English

Mms: 991013649519706535

La Jolla, California: University of California, San Diego

M.D. University of California, San Diego 2018

• Nomura, Scott

Under copyright (US)

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2024-07-19