Aim: Recently, the neo-Glasgow prognostic score (GPS), a composite biomarker determined by the C-reactive protein level and albumin-bilirubin grade, was developed to predict outcomes in hepatocellular carcinoma (HCC) patients who undergo hepatic resection. The present research investigated whether the neo-GPS could predict prognosis in HCC patients treated with atezolizumab plus bevacizumab (Atez/Bev).
Methods: A total of 421 patients with HCC who were treated with Atez/Bev were investigated.
Results: Multivariate Cox hazards analysis showed that a GPS of 1 (hazard ratio (HR), 1.711; 95% confidence interval (CI), 1.106-2.646) and a GPS of 2 (HR, 4.643; 95% CI, 2.778-7.762) were independently associated with overall survival. Conversely, multivariate Cox hazards analysis showed that a neo-GPS of 1 (HR, 3.038; 95% CI, 1.715-5.383) and a neo-GPS of 2 (HR, 5.312; 95% CI, 2.853-9.890) were also independently associated with overall survival in this cohort. Additionally, cumulative overall survival rates differed significantly by GPS and neo-GPS (p < 0.001). The neo-GPS, compared with the GPS, had a lower Akaike information criterion (1207 vs. 1,211, respectively) and a higher c-index (0.677 vs. 0.652, respectively) regarding to overall survival. In a subgroup analysis of patients considered to have a good prognosis as confirmed using a Child-Pugh score of 5 (p = 0.001), a neutrophil-to-lymphocyte ratio <3 (p = 0.001), or an α-fetoprotein level < 100 ng/mL (p < 0.001), those with a high neo-GPS (≥1) had a statistically poorer overall survival than those with a low neo-GPS.
Conclusions: The neo-GPS can predict prognosis in advanced unresectable HCC patients treated with Atez/Bev.
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http://dx.doi.org/10.1002/cam4.5495 | DOI Listing |
BMC Gastroenterol
January 2025
Department of Gastroenterology, The First Affiliated Hospital of Guangxi Medical University, Nanning, China.
Background: Metabolic dysfunction-associated steatotic liver disease (MASLD) is a primary cause of chronic liver disease, with potential progression to cirrhosis and hepatocellular carcinoma (HCC). Although systemic inflammatory biomarkers are associated with liver diseases, their specific role in MASLD remains unclear. This study examines the association between systemic inflammatory biomarkers and MASLD.
View Article and Find Full Text PDFNat Chem Biol
January 2025
Zhejiang Provincial Key Laboratory of Pancreatic Disease, The First Affiliated Hospital, Institute of Translational Medicine, Zhejiang University School of Medicine, Zhejiang University, Hangzhou, China.
As an enzyme with a critical role in de novo purine synthesis, adenylosuccinate lyase (ADSL) expression is upregulated in various malignancies. However, whether ADSL possesses noncanonical functions that contribute to cancer progression remains poorly understood. Here, we demonstrate that protein kinase R-like endoplasmic reticulum kinase (PERK) activated by lipid deprivation or ER stress phosphorylates ADSL at S140, leading to an enhanced association between ADSL and Beclin1.
View Article and Find Full Text PDFNat Commun
January 2025
Department of Machine Learning, Moffitt Cancer Center, Tampa, FL, USA.
AI decision support systems can assist clinicians in planning adaptive treatment strategies that can dynamically react to individuals' cancer progression for effective personalized care. However, AI's imperfections can lead to suboptimal therapeutics if clinicians over or under rely on AI. To investigate such collaborative decision-making process, we conducted a Human-AI interaction study on response-adaptive radiotherapy for non-small cell lung cancer and hepatocellular carcinoma.
View Article and Find Full Text PDFInsights Imaging
January 2025
Department of Radiology, The First Affiliated Hospital of Soochow University, Suzhou, China.
Objectives: To develop and validate radiomics and deep learning models based on contrast-enhanced MRI (CE-MRI) for differentiating dual-phenotype hepatocellular carcinoma (DPHCC) from HCC and intrahepatic cholangiocarcinoma (ICC).
Methods: Our study consisted of 381 patients from four centers with 138 HCCs, 122 DPHCCs, and 121 ICCs (244 for training and 62 for internal tests, centers 1 and 2; 75 for external tests, centers 3 and 4). Radiomics, deep transfer learning (DTL), and fusion models based on CE-MRI were established for differential diagnosis, respectively, and their diagnostic performances were compared using the confusion matrix and area under the receiver operating characteristic (ROC) curve (AUC).
Sci Rep
January 2025
Department of Laboratory Medicine, West China Hospital, Sichuan University, Chengdu, China.
Hepatocellular carcinoma (HCC) is the most prevalent form of liver cancer, and ranks among the most lethal malignancies globally, primarily due to its high rates of recurrence and metastasis. Despite the urgency, no reliable biomarkers currently exist for predicting tumor recurrence in HCC. Telomerase reverse transcriptase (TERT) promoter mutations (TERTpm) and cellular tumor antigen p53 mutations (TP53m) have been frequently documented in HCC, but their combined clinical significance remains undefined.
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