Colorectal advanced adenoma (CAA) is a key precancerous lesion of colorectal cancer (CRC), and early diagnosis can lessen CRC morbidity and mortality. Although abnormal lipid metabolism is associated with the development of CRC, there are no studies on the biomarkers and mechanism of lipid metabolism linked to CAA carcinogenesis. Hence, we performed a lipidomics study of serum samples from 46 CAA, and 50 CRC patients by the ultra high-performance liquid chromatography tandem high resolution mass spectrometry (UHPLC-HRMS) in both electrospray ionization (ESI) modes. Differential lipids were selected by univariate and multivariate statistics analysis, and their diagnostic performance was evaluated using a receiver operating characteristic curve (ROC) analysis. Combining P < 0.05 and variable importance in projection (VIP) > 1, 59 differential lipids were obtained totally. Ten of them showed good discriminant ability for CAA and CRC (AUC > 0.900). Especially, the lipid panel consisting of PC 44:5, PC 35:6e, and SM d40:3 showed the highest selection frequency and outperformed (AUC = 0.952). Additionally, phosphatidylcholine (PC) and sphingomyelin (SM) were the main differential and high-performance lipids. In short, this is the first study to explore the biomarkers and mechanism for CAA-CRC sequence with large-scale serum lipidomics. The findings should provide valuable reference and new clues for the development of diagnostic and therapeutic strategies of CRC.
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http://dx.doi.org/10.1016/j.jpba.2023.115582 | DOI Listing |
Dig Dis Sci
January 2025
Department of Public Health, Erasmus University Medical Center, Rotterdam, Netherlands.
Background: Development of novel colorectal cancer (CRC) screening tests is a dynamic field. Decision analytic modeling based on inputs derived from rigorous prospective studies informs CRC screening guidelines. Exploratory modeling may have a place in early phases of test development.
View Article and Find Full Text PDFAbdom Radiol (NY)
January 2025
Department of Computer Engineering, Vishwakarma Institute of Information Technology, Pune, India.
Colorectal cancer (CRC) is one of the most common and deadly forms of cancer worldwide, necessitating accurate and early detection to improve treatment outcomes. Traditional diagnostic methods often rely on manual examination of pathological images, which can be time-consuming and prone to human error. This study presents an advanced approach for colorectal cancer detection using a Random Hinge Exponential Distribution coupled Attention Network (RHED-CANet) on pathological images.
View Article and Find Full Text PDFWorld J Gastroenterol
January 2025
Academic Affairs Office, The First Affiliated Hospital of Chongqing Medical University, Chongqing 400016, China.
Background: Return to work (RTW) serves as an indication for young and middle-aged colorectal cancer (CRC) survivors to resume their normal social lives. However, these survivors encounter significant challenges during their RTW process. Hence, scientific research is necessary to explore the barriers and facilitating factors of returning to work for young and middle-aged CRC survivors.
View Article and Find Full Text PDFEndoscopy
January 2025
Internal Medicine, National Taiwan University Hospital, Taipei, Taiwan.
Background And Study Aim: Improvement of adenoma detection rate (ADR) effectively reduces the subsequent incidence of colorectal cancer (CRC). Three-dimensional (3D) colonoscopy provided more anatomical details than standard two-dimensional (2D) colonoscopy and improved ADR in a simulation study. We aimed to compare the ADR between 2D and 3D colonoscopy.
View Article and Find Full Text PDFHepatol Commun
December 2024
Division of Gastroenterology and Hepatology, Department of Medicine, The Autoimmune and Rare Liver Disease Programme, Toronto General Hospital, University Health Network, Toronto, Ontario, Canada.
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