ArticleScientific reports2024
Exploration of the application potential of serum multi-biomarker model in colorectal cancer screening.
Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed.
- Artificial intelligence-based models for colorectal cancer diagnosis using laboratory tests: an exploratory retrospective case-control study.Translational cancer research · 2026Article
- Serum untargeted metabolomics analysis of colorectal cancer.BMC cancer · 2025Article
- Cholesterol metabolism and cancer: Molecular mechanisms, immune regulation and an epidemiological perspective (Review).International journal of molecular medicine · 2025Review
- Low Rates of Digital Rectal Exam in an Academic Health System Represent a Missed Opportunity.Journal of surgical oncology · 2025Article
- Integrated Plasma and Tumor Proteomics of Nasopharyngeal Carcinoma in a Moroccan Cohort.International journal of molecular sciences · 2025Article
- Top-Down Proteomic Profiling of Protein Corona by High-Throughput Capillary Isoelectric Focusing-Mass Spectrometry.Journal of the American Society for Mass Spectrometry · 2025Article
- Changes of CA19-9 levels and related influencing factors in patients with type 2 diabetes mellitus after antidiabetic therapy.Scientific reports · 2025Observational
- Clinical value of cystatin S in patients with colorectal cancer chemotherapy.Frontiers in oncology · 2025Article
- Lipid metabolic reprogramming in colorectal cancer: mechanisms and therapeutic strategies.Frontiers in immunology · 2025Review
- The predictive value of FAH model for the occurrence of colorectal cancer.Frontiers in medicine · 2025Article
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8 authors.
Funding
Abstract
Analyzing blood lipid and bile acid profile changes in colorectal cancer (CRC) patients. Evaluating the integrated model's diagnostic significance for CRC. Ninety-one individuals with colorectal cancer (CRC group) and 120 healthy volunteers (HC group) were selected for comparison. Serum levels of total cholesterol (TC), triglycerides (TG), high-density lipoprotein cholesterol (HDL-C), low-density lipoprotein cholesterol (LDL-C), and apolipoproteins (Apo) A1, ApoA2, ApoB, ApoC2, and ApoC3 were measured using immunoturbidimetric and colorimetric methods. Additionally, LC-MS/MS was employed to detect fifteen bile acids in the serum, along with six tumor markers: carcinoembryonic antigen (CEA), carbohydrate antigens (CA) 125, CA19-9, CA242, CA50, and CA72-4. Group comparisons utilized independent sample t-tests and Mann-Whitney U tests. A binary logistic regression algorithm was applied to fit the indicators and establish a screening model; the diagnostic accuracy of individual Indicators and the model was analyzed using receiver operating characteristic (ROC) curves. The CRC group showed significantly lower levels in eight serum lipid indicators and eleven bile acids compared to the HC group (P < 0.05). Conversely, serum levels of TG, CA19-9, and CEA were elevated (P < 0.05). Among the measured parameters, ApoA2 stands out for its strong correlation with the presence of CRC, showcasing exceptional screening efficacy with an area under the curve (AUC) of 0.957, a sensitivity of 85.71%, and a specificity of 93.33%. The screening model, integrating ApoA1, ApoA2, lithocholic acid (LCA), and CEA, attained an impressive AUC of 0.995, surpassing the diagnostic accuracy of individual lipids, bile acids, and tumor markers. CRC patients manifest noteworthy alterations in both blood lipids and bile acid profiles. A screening model incorporating ApoA1, ApoA2, LCA, and CEA provides valuable insights for detecting CRC.
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