Background: Hepatocellular carcinoma (HCC) constitutes approximately 75-85% of primary liver cancers and is a heavy burden on public health. Many innovative prediction systems have integrated radiomics, artificial intelligence, pathological information, or even genetic information for the stratification and prognosis prediction of patients with HCC. However, these systems still lack practical and clinical applications. Classical HCC staging systems remain the mainstream tool for stratification and prediction of treatment efficacy to date; although, variable characteristics and emphases between different classical HCC staging systems render its clinical selection inconsistent and therefore may be unreliable. In this study, we aimed to compare the predictive performance of classical liver cancer staging systems, including China Liver Cancer (CNLC), Barcelona Clinic Liver Cancer (BCLC), Hong Kong Liver Cancer (HKLC), modified Japanese Integrated Staging (mJIS), modified Cancer of the Liver Italian Program (mCLIP), and Tumor-Node-Metastasis (TNM) staging system, for the efficacy and prognosis of transcatheter arterial chemoembolization (TACE) in HCC patients.
Methods: A total of 148 patients with HCC who received TACE as the initial therapy between 02/01/2019 and 08/31/2022 were retrospectively included. Patients' clinical information, laboratory and imaging data, were collected. Cox regression analysis was applied to identify independent risk factors for progression-free survival (PFS) and overall survival (OS). Six liver cancer staging systems, including the CNLC, BCLC, HKLC, mJIS, mCLIP, and TNM staging system, were applied for the staging of every enrolled patient. The PFS and OS of patients with HCC following initial TACE in different staging systems were assessed, and the predictive performance of different systems was evaluated using the concordance index.
Results: The presence of portal vein tumor thrombus (PVT), alpha fetoprotein (AFP) ≥400 ng/mL, and ineffective initial TACE treatment were independent risk factors for overall disease progression, while the presence of PVT and ineffective initial TACE treatment were independent risk factors for death. In the prediction of PFS and OS, CNLC, BCLC, HKLC, mJIS, and mCLIP all showed good predictive ability, but the predictive ability of the TNM staging system was relatively poor.
Conclusions: The CNLC, BCLC, HKLC, mJIS, and mCLIP staging systems provide comparable predictive value for the prognosis after the initial TACE, while the TNM staging system has poor predictive ability due to its exclusion of hepatic function.
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http://dx.doi.org/10.21037/jgo-2024-850 | DOI Listing |
BMC Cancer
January 2025
Department of Pediatric Surgery, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China.
Background: Neuroblastoma, a prevalent extracranial solid tumor in pediatric patients, demonstrates significant clinical heterogeneity, ranging from spontaneous regression to aggressive metastatic disease. Despite advances in treatment, high-risk neuroblastoma remains associated with poor survival. SLC1A5, a key glutamine transporter, plays a dual role in promoting tumor growth and immune modulation.
View Article and Find Full Text PDFJ Cardiothorac Surg
January 2025
Prague Lung Transplant Program, 3rd Department of Surgery, First Faculty of Medicine, Charles University and Motol University Hospital, Prague, Czech Republic.
Scoliotic deformity represents a serious spinal disorder that influences the locomotive and cardiopulmonary systems. Some patients with severe scoliosis and end-stage lung disease are therefore denied lung transplantation. In patients with scoliosis considering lung transplantation, size match, straight back syndrome, delayed chest closure and bronchial stenosis are key issues clinicians should evaluate.
View Article and Find Full Text PDFBMC Bioinformatics
January 2025
Biology Department, University of Massachusetts Amherst, Amherst, MA, USA.
Background: High-throughput behavioral analysis is important for drug discovery, toxicological studies, and the modeling of neurological disorders such as autism and epilepsy. Zebrafish embryos and larvae are ideal for such applications because they are spawned in large clutches, develop rapidly, feature a relatively simple nervous system, and have orthologs to many human disease genes. However, existing software for video-based behavioral analysis can be incompatible with recordings that contain dynamic backgrounds or foreign objects, lack support for multiwell formats, require expensive hardware, and/or demand considerable programming expertise.
View Article and Find Full Text PDFBackground: The proportion of people living with HIV (PLHIV) in Guangxi who are men who have sex with men (MSM) increased rapidly to nearly 10% in 2023; notably, over 95% of this particular population is currently receiving antiretroviral therapy (ART). This study aimed to describe the survival of MSM PLHIV, depict the characteristics and trends of changes in CD4 T cell counts, CD4/CD8 T cell ratio, and viral load, and explore immunological indicators that may be related to mortality during different stages of treatment.
Methods: Immunological indicators of MSM PLHIV receiving ART were extracted and categorized into baseline, mid-treatment, and last values.
NPJ Digit Med
January 2025
Department of Thoracic Surgery, Shanghai Pulmonary Hospital, School of Medicine, Tongji University, Shanghai, China.
Existing prognostic models are useful for estimating the prognosis of lung adenocarcinoma patients, but there remains room for improvement. In the current study, we developed a deep learning model based on histopathological images to predict the recurrence risk of lung adenocarcinoma patients. The efficiency of the model was then evaluated in independent multicenter cohorts.
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