Objectives: Hepatocellular carcinoma (HCC) is a primary malignancy of the liver and a global health problem. It is often diagnosed at advanced stage where hopeless for effective therapies. Identification of more reliable biomarkers for early detection of HCC is urgently needed. Cytokeratins are a marker of hepatic progenitor cells and act as a key player in tumor invasion. Herein, we sought to develop a novel score based on the combination of cytokeratin 18 (CK18) and cytokeratin 19 (CK19) with routine laboratory tests for accurate detection of HCC.
Material & Methods: Serum CK18, CK 19, α-fetoprotein, albumin and platelets count were assayed in HCC patients (75), liver cirrhosis patients (55) and healthy control (20). Areas under receiving operating curve (AUCs) were calculated and used for construction on novel score. A novel score named CK-HCC = CK 19 (ng/ml)×0.001+ CK18 (ng/ml)×0.004 + AFP (U/L)×5.4 - Platelets count (×109)/L×0.003 - Albumin (g/L)×0.27-36 was developed. CK-HCC score produces AUC of 0.919 for differentiating patients with HCC from those with liver cirrhosis with sensitivity and specificity of a cut-off 1.3 (i.e., less than 1.3 the case is considered cirrhotic, whereas above 1.3 it is considered HCC.
Conclusion: CK-HCC score could replace AFP during screening of HCV patients and early detection of HCC.
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http://dx.doi.org/10.31557/APJCP.2024.25.4.1325 | DOI Listing |
J Nat Med
January 2025
Department of Endocrinology, Cangzhou Central Hospital, No. 16 West Xinhua Road, Cangzhou, 061000, Hebei, China.
Thioredoxin-interacting protein (TXNIP), as a pivotal protein in the cellular stress response, plays a significant role in the progression of diabetic nephropathy (DN). Consequently, therapeutic strategies aimed at targeting TXNIP may offer novel interventions for patients with DN. Our study is to explore the therapeutic potential of targeting TXNIP in mitigating renal tubular injury induced by hyperglycemia.
View Article and Find Full Text PDFJpn J Radiol
January 2025
Artificial Intelligence and Translational Imaging (ATI) Lab, Department of Radiology, School of Medicine, University of Crete, Voutes Campus, Heraklion, Greece.
Objective: Calcific tendinopathy, predominantly affecting rotator cuff tendons, leads to significant pain and tendon degeneration. Although US-guided percutaneous irrigation (US-PICT) is an effective treatment for this condition, prediction of patient' s response and long-term outcomes remains a challenge. This study introduces a novel radiomics-based model to forecast patient outcomes, addressing a gap in the current predictive methodologies.
View Article and Find Full Text PDFInt Urol Nephrol
January 2025
Faculty of Medical Sciences, Pharmacology and Toxicology Department, University of Kragujevac, Kragujevac, Serbia.
Purposes: Intermediate-risk prostate cancer (IR PCa) is the most common risk group for localized prostate cancer. This study aimed to develop a machine learning (ML) model that utilizes biopsy predictors to estimate the probability of IR PCa and assess its performance compared to the traditional clinical model.
Methods: Between January 2017 and December 2022, patients with prostate-specific antigen (PSA) values of ≤ 20 ng/mL underwent transrectal ultrasonography-guided prostate biopsies.
Clin Exp Med
January 2025
Pediatrics, Western University, London, ON, Canada.
Sepsis is a major cause of morbidity and mortality worldwide. Among the various types of end-organ damage associated with sepsis, hepatic injury is linked to significantly higher mortality rates compared to dysfunction in other organ systems. This study aimed to investigate potential biomarkers of hepatic injury in sepsis patients through a multi-center, case-control approach.
View Article and Find Full Text PDFAlzheimers Dement
December 2024
Duke University School of Medicine, Durham, NC, USA.
Background: Patients with Alzheimer's Disease (AD) frequently manifest comorbid neuropsychiatric symptoms (NPS) with depression and anxiety being most prevalent. Previously we identified shared genetic risk loci between AD and major depressive disorder (MDD). In another study, we constructed a polygenic risk score (PRS) based on MDD-GWAS data and demonstrated its performance in predicting depression onset in LOAD patients.
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