1. Development and validation of a biomarker index for HCC treatment response.
- Author
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Liang, Jeff, Li, Po-Yi, Norman, Joshua, Lauzon, Marie, Yeo, Yee, Trivedi, Hirsh, Ayoub, Walid, Kuo, Alexander, Friedman, Marc, Sankar, Kamya, Gong, Jun, Osipov, Arsen, Hendifar, Andrew, Todo, Tsuyoshi, Kim, Irene, Voidonikolas, Georgios, Brennan, Todd, Wisel, Steven, Steggarda, Justin, Kosari, Kambiz, Saouaf, Rola, Nissen, Nicholas, Yao, Francis, Mehta, Neil, and Yang, Ju
- Subjects
Humans ,Liver Neoplasms ,Carcinoma ,Hepatocellular ,Female ,Male ,Middle Aged ,Biomarkers ,Tumor ,Liver Transplantation ,alpha-Fetoproteins ,Aged ,Treatment Outcome ,Sensitivity and Specificity ,Retrospective Studies - Abstract
BACKGROUND: Serum AFP-L3%, AFP, and DCP are useful biomarkers for HCC detection, but their utility in assessing treatment response remains unknown. We aim to evaluate the accuracy of a biomarker model in the detection of posttreatment viable tumors. METHODS: For model derivation, recipients with HCC undergoing liver transplant from 2018 to 2022 who had biomarkers collected within 3 months before transplant were included. We developed a generalized linear model for detecting posttreatment viable tumors with the 3 biomarkers as covariates, which we termed the LAD Score. An independent cohort of 117 patients with HCC was used for external validation. RESULTS: Among 205 recipients of transplant, 70.2% had evidence of viable tumor on explant. The median LAD score was higher among patients with viable versus nonviable tumors (1.06 vs. 0.465, p < 0.001). The LAD score had a sensitivity of 55.6% and a specificity of 85.1% at the cutoff of 0.927, which was more accurate than imaging for detecting posttreatment viable tumors (AUROC 0.736 vs. 0.643, respectively; p = 0.045). The superior performance of the LAD score over imaging is primarily driven by its greater accuracy in detecting tumors
- Published
- 2024