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Hepatocellular carcinoma (HCC), the most prevalent malignancy of the digestive tract, is characterized by a high mortality rate and poor prognosis, primarily due to its initial diagnosis at an advanced stage that precludes any surgical intervention. Recent advancements in systemic therapies have significantly improved oncological outcomes for intermediate and advanced‐stage HCC, and the combination of locoregional and systemic therapies further facilitates tumor downstaging and increases the likelihood of surgical resectability for initially unresectable cases following conversion therapies. This shift toward high conversion rates with novel, multimodal treatment approaches has become a principal pathway for prolonged survival in patients with advanced HCC. However, the field of conversion therapy for HCC is marked by controversies, including the selection of potential surgical candidates, formulation of conversion therapy regimens, determination of optimal surgical timing, and application of adjuvant therapy post‐surgery. Addressing these challenges and refining clinical protocols and research in HCC conversion therapy is essential for setting the groundwork for future advancements in treatment strategies and clinical research. This narrative review comprehensively summarizes the current strategies and clinical experiences in conversion therapy for advanced‐stage HCC, emphasizing the unresolved issues and the path forward in the context of precision medicine. This work not only provides a comprehensive overview of the evolving landscape of treatment modalities for conversion therapy but also paves the way for future studies and innovations in this field. [ABSTRACT FROM AUTHOR]

This study aims to investigate the prognostic value of neutrophil to lymphocyte ratio (NLR) in hepatocellular carcinoma (HCC) patients treated with liver transplantation (LT) through meta-analysis. Relevant articles were sought in PubMed, Embase, and Wangfang databases up to July 2015. A total of 1687 patients from 10 studies were included in this meta-analysis. Meta-analysis results showed that elevated NLR was significantly associated with poorer overall survival (OS) (HR = 2.71, 95% CI: 1.91–3.83) and poorer disease-free survival (DFS) (HR = 3.61, 95% CI: 2.23–5.84) in HCC patients treated with LT. Moreover, subgroup analysis showed the significant association between elevated preoperative NLR and poor prognosis was not altered by cutoff values of NLR or types of LT. Therefore, elevated preoperative NLR is associated with poor prognosis in HCC patients treated with LT. Preoperative NLR should be used to predict the prognosis of HCC after LT in our clinical work. [ABSTRACT FROM AUTHOR]

Background: Diagnostic panels based on multiple biomarkers and clinical characteristics are considered more favorable than individual biomarker to diagnose hepatocellular carcinoma (HCC). Based on age, sex, alpha-fetoprotein (AFP), and protein induced by vitamin K absence II (PIVKA-II) with/without AFP-L3, ASAP and GALAD models are potential diagnostic panels. The diagnostic performances of these two panels were compared relative to HCC detection among patients with various etiologies of chronic liver diseases (CLDs)., Methods: A multicenter case-control study recruited CLDs patients with and without HCC from 14 Chinese hospitals. The etiologies of CLDs included hepatitis B virus (HBV), hepatitis C virus (HCV), alcoholic liver disease (ALD), and nonalcoholic fatty liver disease (NAFLD). Using area under the receiver operating characteristic curve (AUC) values, the diagnostic performances of ASAP and GALAD models were compared to detect HCC among patients with various etiologies of CLDs., Results: Among 248 HCC patients and 722 CLD controls, the ASAP model demonstrated the highest AUC (0.886) to detect HCC at any stage, outperforming the GALAD model (0.853, P = 0.001), as well as any individual biomarker (0.687-0.799, all P < 0.001). In the subgroup analysis of various CLDs etiologies, the ASAP model outperformed the GALAD model to HCC independent of CLDs etiology. In addition, the ASAP model performed better in detecting early-stage (BCLC stage 0/A) HCC versus the GALAD model., Conclusions: Despite using one less laboratory variable (AFP-L3), the ASAP model demonstrated better diagnostic performance than the GALAD model to detect all-stage HCC among patients with various etiologies of CLDs-related HCC., (Copyright © 2024 First Affiliated Hospital, Zhejiang University School of Medicine in China. Published by Elsevier B.V. All rights reserved.)

Remyelination plays a key role in functional recovery of axons after spinal cord injury. Glial cells are the most abundant cells in the central nervous system. When spinal cord injury occurs, many glial cells at the lesion site are immediately activated, and different cells differentially affect inflammatory reactions after injury. In this review, we aim to discuss the core role of oligodendrocyte precursor cells and crosstalk with the rest of glia and their subcategories in the remyelination process. Activated astrocytes influence proliferation, differentiation, and maturation of oligodendrocyte precursor cells, while activated microglia alter remyelination by regulating the inflammatory reaction after spinal cord injury. Understanding the interaction between oligodendrocyte precursor cells and the rest of glia is necessary when designing a therapeutic plan of remyelination after spinal cord injury., Competing Interests: None declared

Objective: Metastasis-associated in colon cancer-1 (MACC1) has been reported to be overexpressed in diverse human malignancies. However, the prognostic and clinicopathological value of MACC1 in hepatocellular carcinoma (HCC) remains inconclusive. Therefore, we conducted this meta-analysis to investigate the association between MACC1 expression and the outcomes of HCC., Methods: Relevant articles were searched in PubMed, Embase, Sciencedirect, CNKI, and Wanfang databases updated to October 2014. The pooled hazard ratios (HRs) and odds ratios (ORs) with their 95% confidence intervals (CIs) were assessed using STATA 10.0, and then the correlations of MACC1 expression with overall survival (OS), disease-free survival (DFS), and clinicopathological features were analyzed., Results: 9 studies with a total of 1293 HCC patients were included in this meta-analysis. Our results showed that MACC1 over-expression was significantly associated with poor OS (HR = 2.30, 95% CI 1.47-3.59, univariate analysis; HR = 2.39, 95% CI 1.49-3.82, multivariate analysis), poor DFS (HR = 1.73, 95% CI 1.40-2.13, univariate analysis). Moreover, MACC1 over-expression was significantly associated with AFP level (OR = 1.31, 95% CI 1.03-1.68), tumor number (OR = 1.37, 95% CI 1.07-1.75), differentiation (OR = 2.37, 95% CI 1.46-3.83), TNM stage (OR = 2.89, 95% CI 2.18-3.82), vascular invasion (OR = 1.89, 95% CI 1.43-2.50), capsule invasion (OR = 2.89, 95% CI 1.40-5.94), and metastasis (OR = 2.66, 95% CI 1.16-6.10)., Conclusion: MACC1 over-expression indicated poor survival rate, high recurrence rate, and aggressive biological behaviors. MACC1 can serve as an indicator of prognosis and a potential novel target for treatment in HCC patients.