Comparison between models for detecting hepatocellular carcinoma in patients with chronic liver diseases of various etiologies: ASAP score versus GALAD score

Prognostic Value of the ASAP Score for Patients Undergoing Hepatic Resection for Hepatocellular Carcinoma: A Multicenter Analysis of 1,239 Patients

BACKGROUND AND AIMS

The ASAP score, which incorporates age, sex, alpha-fetoprotein (AFP), and protein induced by vitamin K absence-II, has demonstrated promise for early detection of hepatocellular carcinoma (HCC). However, its prognostic value after HCC treatment remains unknown. The current study sought to evaluate the prognostic value of the ASAP score to predict recurrence and survival following curative hepatic resection for HCC.

METHODS

This study using prospectively collected data included HCC patients who underwent curative-intent hepatic resection. The ASAP score was calculated preoperatively, and X-tile analysis was used to determine the optimal cutoff value. Univariate and multivariate analyses were performed to identify independent risk factors associated with recurrence and overall survival (OS).

RESULTS

Among 1239 patients in the analytic cohort, the optimal ASAP score cutoff was 4.8; patients were divided into low (n = 749) and high (n = 490) ASAP score subgroups. Patients with high ASAP scores had a higher incidence of 5-year recurrence (73.9% vs 51.0%, P < 0.001) and worse OS (31.7% vs 60.1%, P < 0.001) versus individuals with low scores. Multivariate analysis identified ASAP score ≥4.8 as an independent risk factor of both recurrence (hazard ratio [HR] 1.976, 95% confidence interval [CI]: 1.633-2.390, P < 0.001) and OS (HR 1.407, 95% CI 1.170-1.691, P < 0.001) after controlling for established clinicopathological factors.

CONCLUSION

Preoperative ASAP score was independently associated with recurrence and survival after HCC resection. The clinical utility of the ASAP score may be applicable to both diagnosis and prognosis, potentially improving postoperative surveillance and management strategies for HCC patients.

Advances in application of serum biomarkers for screening and early diagnosis of hepatocellular carcinoma

Hepatocellular carcinoma (HCC) represents a major global health challenge, with early detection through surveillance of high-risk populations remaining critical for improving clinical outcomes. Serum biomarkers play a crucial role in the early detection of HCC. Currently, commonly used serological markers for HCC include alpha-fetoprotein (AFP), des-gamma-carboxy prothrombin, and the Lens culinaris agglutinin-reactive fraction of AFP. Other potential biomarkers under investigation include glypican-3, osteopontin, alpha-L-fucosidase, Dickkopf-1, heat shock protein 90α, and Golgi protein 73. With the advancement of liquid biopsy technologies, novel markers such as circulating tumor DNA, circulating tumor cells, microRNAs, and long non-coding RNAs have emerged as promising tools for early screening and diagnosis of HCC. This review aims to summarize the research progress and clinical applications of these biomarkers related to liver cancer, providing scientific evidence to enhance early diagnosis rates, improve prognosis, and ultimately reduce HCC-related mortality.

α-Fetoprotein model versus Milan criteria in predicting outcomes after hepatic resection for hepatocellular carcinoma: multicentre study

BACKGROUND

The Milan criteria and the French α-fetoprotein (AFP) model have both been validated for predicting outcomes after liver transplantation for hepatocellular carcinoma, with the Milan criteria also used for predicting outcomes after hepatic resection. The aim of this study was to evaluate the AFP model's predictive value for recurrence and survival following hepatocellular carcinoma resection and compare its performance with that of the Milan criteria.

METHODS

Data for patients who underwent hepatocellular carcinoma resection between 2002 and 2021 were analysed. For both the AFP model and Milan criteria, patients were divided into two groups: those with hepatocellular carcinoma within and beyond the AFP model (scores ≤ 2 and > 2 points, respectively) and the Milan criteria. Cumulative recurrence and overall survival rates were compared between patients within and beyond the AFP model. Predictions of recurrence and overall survival by the AFP model and Milan criteria were compared using net reclassification improvement and area under the receiver operating characteristic curve analyses.

RESULTS

Among 1968 patients evaluated, 1058 (53.8%) and 940 (47.8%) were classified as beyond on the AFP model and Milan criteria, respectively. After controlling for competing factors on multivariable analyses, being beyond the AFP model was independently associated with recurrence and worse overall survival after resection of hepatocellular carcinoma. Time-dependent net reclassification improvement and area under the receiver operating characteristic curve analyses demonstrated that the AFP model was superior to the Milan criteria in predicting recurrence. Of note, patients who were classified as beyond both the Milan criteria and AFP model had an even higher risk of postoperative recurrence and mortality (hazard ratios 1.51 and 1.47, respectively).

CONCLUSION

The French AFP model demonstrated superior prognostic accuracy to the Milan criteria in predicting recurrence and survival after hepatocellular carcinoma resection. The AFP model not only effectively stratified patient risk but also identified a subgroup of high-risk patients among those beyond the Milan criteria.

Recent advancements in the small-molecule drugs for hepatocellular carcinoma (HCC): Structure-activity relationships, pharmacological activities, and the clinical trials

BACKGROUND AND AIMS: Hepatocellular carcinoma (HCC) is one of the most common malignancies in the world and the sixth leading cause of cancer death worldwide, and it is urgent to find safe and effective drugs for treatment. As an important therapeutic method, small-molecule drugs are continually being updated to achieve improved therapeutic effects. The purpose of this study was to investigate the structural effects of various FDA-listed small-molecule drugs sorafenib, cabozantinib, lenvatinib, and regorafenib on the corresponding HCC targets and possible structural optimization methods, and to explore the mechanism for identifying potential therapeutic drugs that offer better efficacy and fewer side effects.

METHODS

The structure-activity relationship, pharmacological actions, and clinical applications of small-molecule drugs were reviewed by referencing MEDLINE, Web of Science, CNKI, and other databases, summarizing and integrating the relevant content.

RESULTS

The results showed that small-molecule drugs can inhibit HCC primarily by forming hydrogen bonds with Glu885, Asp1046, and Cys919 on the HCC target. HCC can be targeted by inhibiting the activation of multiple pathways, blocking the conduction of downstream signaling, and reducing the formation of tumor blood vessels. In general, small-molecule drugs primarily target four key receptors in HCC: VEGFR, PDGFR, EGFR, and FGFR, to achieve effective treatment.

CONCLUSIONS

By revealing their structure-activity relationships, pharmacological actions, and clinical trials, small-molecule drugs can offer broad prospects for the development of new medications.