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Purpose: To analyze survival and its predictors among patients with hepatocellular carcinoma (HCC) receiving transarterial chemoembolization (TACE) in Ethiopia.

Materials And Methods: We conducted a retrospective cohort study among patients who received TACE for HCC at MCM Hospital from December 1, 2016, to December 31, 2022. Data were extracted from patients' medical records, and vital status was ascertained from the patients' charts or by phone call to the next of kin.

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Direct repeat region 3' end modifications regulate Cas12a activity and expand its applications.

Nucleic Acids Res

January 2025

Guangdong Provincial Key Laboratory of Digestive Cancer Research, Digestive Diseases Center, Scientific Research Center, The Seventh Affiliated Hospital of Sun Yat-sen University, Shenzhen, Guangdong 518107, P.R. China.

CRISPR-Cas12a technology has transformative potential, but as its applications grow, enhancing its inherent functionalities is essential to meet diverse demands. Here, we reveal a regulatory mechanism for LbCas12a through direct repeat (DR) region 3' end modifications and de-modifications, which can regulate LbCas12a's cis- and trans-cleavage activities. We extensively explored the effects of introducing phosphorylation, DNA, photo-cleavable linker, DNA modifications at the DR 3' end on LbCas12a's functionality.

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Alpha-fetoprotein (AFP) level and its changes in chronic hepatitis B (CHB) may influence the risk of future hepatocellular carcinoma (HCC). This study aims to evaluate the HCC risk in CHB patients with no overt HCC but with elevated AFP level and to explore the prognostic role of longitudinal changes in AFP and liver-related laboratory values. This multicentre cohort study included 10,639 CHB patients without a history of HCC from seven medical facilities in South Korea.

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Background Aims: Non-invasive tests (NITs), e.g. Fibrosis-4 Index (FIB-4) and vibration-controlled elastography (VCTE), have been used to identify metabolic dysfunction-associated steatotic liver disease (MASLD) patients at high risks for hepatocellular carcinoma (HCC).

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Background: Integrating comprehensive information on hepatocellular carcinoma (HCC) is essential to improve its early detection. We aimed to develop a model with multi-modal features (MMF) using artificial intelligence (AI) approaches to enhance the performance of HCC detection.

Materials And Methods: A total of 1,092 participants were enrolled from 16 centers.

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