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  2. Research Domains
  3. Biomedical And Clinical Sciences
  4. Oncology And Carcinogenesis
  5. Predictive And Prognostic Markers
  6. A Combined Model Of Six Serum Micrornas As Diagnostic Markers For Hepatocellular Carcinoma

A combined model of six serum microRNAs as diagnostic markers for hepatocellular carcinoma

Bingqiang Zhang1, Boyang Zhu2, Junmei Yu1

  • 1Qingdao Ruiside Medical Laboratory Co., LTD, Qingdao, Shandong 266111, PR China.

Clinica Chimica Acta; International Journal of Clinical Chemistry
|September 27, 2024

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View abstract on PubMed

Summary
This summary is machine-generated.

Early diagnosis of hepatocellular carcinoma (HCC) is crucial. This study identified six serum microRNAs (miRNAs) that form a diagnostic model with high accuracy for detecting HCC.

Area of Science:

  • Oncology
  • Molecular Biology
  • Biomarker Discovery

Background:

  • Hepatocellular carcinoma (HCC) presents high morbidity and mortality.
  • Early diagnosis of HCC remains a significant challenge.
  • Serum microRNAs (miRNAs) are explored as potential diagnostic biomarkers for HCC.

Purpose of the Study:

  • To identify serum microRNAs (miRNAs) for early diagnosis of hepatocellular carcinoma (HCC).
  • To develop a diagnostic model for HCC based on differentially expressed miRNAs (DEmiRNAs).

Main Methods:

  • Collected samples from 469 participants including HCC cases, liver lesions, other tumors, and healthy controls.
  • Screened differentially expressed miRNAs (DEmiRNAs) using real-time quantitative PCR in a training set.
  • Constructed a diagnostic model using logistic regression and validated it in an independent set.
Keywords:
BiomarkersDiagnosisFunctional analysisHepatocellular carcinoma

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Main Results:

  • Six DEmiRNAs (miR-21, miR-221, miR-801, miR-1246, miR-26a, miR-122) showed significant expression changes in HCC.
  • A diagnostic model based on these six DEmiRNAs achieved AUC values of 0.953 (training) and 0.952 (validation).
  • Predicted target genes were enriched in pathways including B cell receptor and ferroptosis.

Conclusions:

  • A diagnostic model combining six DE miRNAs demonstrates significant clinical value for early HCC detection.
  • This miRNA-based model offers a promising tool for improving HCC diagnosis.
serum miRNAs