TY - JOUR
T1 - A Novel Risk Prediction Model for Hepatocellular Carcinoma in MASLD
T2 - A Multinational, Multicenter Cohort Study
AU - Chun, Ho Soo
AU - Lee, Minjong
AU - Lee, Hye Ah
AU - Park, Eun Seo
AU - Choi, Jeong Yoon
AU - Baek, Hyo Song
AU - Kim, Tae Hun
AU - Lin, Huapeng
AU - Cheuk-Fung Yip, Terry
AU - Lee, Hye Won
AU - Tsochatzis, Emmanuel
AU - Petta, Salvatore
AU - Bugianesi, Elisabetta
AU - Yoneda, Masato
AU - Zheng, Ming Hua
AU - Hagström, Hannes
AU - Boursier, Jérôme
AU - Calleja, José Luis
AU - Boon-Bee Goh, George
AU - Chan, Wah Kheong
AU - Gallego-Durán, Rocio
AU - Sanyal, Arun J.
AU - de Lédinghen, Victor
AU - Newsome, Philip N.
AU - Fan, Jian Gao
AU - Castéra, Laurent
AU - Lai, Michelle
AU - Harrison, Stephen
AU - Fournier-Poizat, Céline
AU - Lai-Hung Wong, Grace
AU - Pennisi, Grazia
AU - Armandi, Angelo
AU - Nakajima, Atsushi
AU - Liu, Wen Yue
AU - Shang, Ying
AU - de Saint-Loup, Marc
AU - Llop, Elba
AU - Jun Teh, Kevin Kim
AU - Lara-Romero, Carmen
AU - Asgharpour, Amon
AU - Mahgoub, Sara
AU - Sau-Wai Chan, Mandy
AU - Romero-Gomez, Manuel
AU - Wai-Sun Wong, Vincent
AU - Kim, Seung Up
N1 - Publisher Copyright:
© 2026 AGA Institute.
PY - 2026/3
Y1 - 2026/3
N2 - Background & Aims It is unclear that which cardiometabolic risk factors (CMRFs) are significantly associated with hepatocellular carcinoma (HCC) development in metabolic dysfunction–associated steatotic liver disease (MASLD). We aimed to develop and validate a novel CMRF-based HCC risk prediction model in MASLD. Methods This multicenter cohort study recruited 77,677 MASLD patients from 20 medical centers in Korea and other Asian and Western countries (2004–2023). A novel CMRF-based HCC risk prediction model (MASLD-HCC score) was developed based on time-varying Cox multivariable analysis in a training cohort (n = 36,800, Korea), which was validated internally (n = 36,799, Korea) and externally (n = 4078, 11 other Asia and Western countries). Results In the training cohort, 71 (0.2%) patients developed HCC (median follow-up 5.1 years). Overweight/obesity or central obesity and prediabetes/diabetes were independently associated with HCC development, along with age, sex, and platelets. The MASLD-HCC score with these 5 risk factors showed a Harrell’s C-index of 0.84 for HCC development, which was maintained in the internal (C-index 0.83) and external validation cohorts (C-index 0.93), and the model was well calibrated. Decision curve analyses showed that patients had positive net benefits from the model. When stratified by the MASLD-HCC score, the risk of HCC development in the high-risk group was significantly higher than the low-risk group (training: subdistribution hazard ratio [sHR], 11.44; 95% confidence interval [CI], 7.10–18.41; internal validation: sHR, 12.36; 95% CI, 7.72–19.79; external validation: sHR, 56.84; 95% CI, 12.88–250.73; all P < .001). Conclusions Overweight/obesity or central obesity and prediabetes/diabetes with fibrotic burden were significantly associated with the increased HCC risk in MASLD. The MASLD-HCC score may enable physicians to stratify the HCC risk.
AB - Background & Aims It is unclear that which cardiometabolic risk factors (CMRFs) are significantly associated with hepatocellular carcinoma (HCC) development in metabolic dysfunction–associated steatotic liver disease (MASLD). We aimed to develop and validate a novel CMRF-based HCC risk prediction model in MASLD. Methods This multicenter cohort study recruited 77,677 MASLD patients from 20 medical centers in Korea and other Asian and Western countries (2004–2023). A novel CMRF-based HCC risk prediction model (MASLD-HCC score) was developed based on time-varying Cox multivariable analysis in a training cohort (n = 36,800, Korea), which was validated internally (n = 36,799, Korea) and externally (n = 4078, 11 other Asia and Western countries). Results In the training cohort, 71 (0.2%) patients developed HCC (median follow-up 5.1 years). Overweight/obesity or central obesity and prediabetes/diabetes were independently associated with HCC development, along with age, sex, and platelets. The MASLD-HCC score with these 5 risk factors showed a Harrell’s C-index of 0.84 for HCC development, which was maintained in the internal (C-index 0.83) and external validation cohorts (C-index 0.93), and the model was well calibrated. Decision curve analyses showed that patients had positive net benefits from the model. When stratified by the MASLD-HCC score, the risk of HCC development in the high-risk group was significantly higher than the low-risk group (training: subdistribution hazard ratio [sHR], 11.44; 95% confidence interval [CI], 7.10–18.41; internal validation: sHR, 12.36; 95% CI, 7.72–19.79; external validation: sHR, 56.84; 95% CI, 12.88–250.73; all P < .001). Conclusions Overweight/obesity or central obesity and prediabetes/diabetes with fibrotic burden were significantly associated with the increased HCC risk in MASLD. The MASLD-HCC score may enable physicians to stratify the HCC risk.
KW - Cardiometabolic Risk Factor
KW - Hepatocellular Carcinoma
KW - Metabolic Dysfunction–Associated Steatotic Liver Disease
KW - Risk Prediction Model
UR - https://www.scopus.com/pages/publications/105012772958
U2 - 10.1016/j.cgh.2025.06.025
DO - 10.1016/j.cgh.2025.06.025
M3 - Article
C2 - 40645391
AN - SCOPUS:105012772958
SN - 1542-3565
VL - 24
SP - 688-700.e17
JO - Clinical Gastroenterology and Hepatology
JF - Clinical Gastroenterology and Hepatology
IS - 3
ER -