Abstract | AIM: METHODS: One hundred and eleven early HCC patients were enrolled in the present study and 43 early HCC patients were diagnosed with MVI. Serum levels of PIVKA-II, AFP and other laboratory indicators were detected. Chi-squared test, t-test and logistic regression were employed in statistic analysis. A nomogram combining independent predictors was constructed and internal validated. RESULTS: In early HCC patients with MVI, PIVKA-II serum level was significantly higher than those without MVI (385.97 mAU/ml vs 67.08 mAU/ml; P < 0.01), as well as AFP serum level (81.6 ng/mL vs 9.15 ng/mL P = 0.001). PIVAK-II, AFP serum levels and tumor size were independent risk factors for MVI in early HCC, which was employed to develop a logistic regression model. The area under the ROC curve (AUROC) of the model was 0.74 (95%CI 0.65 - 0.84). A nomogram combining PIVKA-II, AFP and tumor size was constructed and calibration curves showed that the model was accurate in predicting the risk of MVI in early HCC patients. CONCLUSION: The present study indicates that a preoperative nomogram combining PIVKA-II, AFP and tumor size could estimate the preoperative probability of MVI in early HCC patients, which may help clinicians in choosing treatment options and prognosis evaluation.
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Authors | Hongguang Li, Tao Li, Jinhua Hu, Jun Liu |
Journal | Journal of cancer research and therapeutics
(J Cancer Res Ther)
Vol. 17
Issue 3
Pg. 652-657
(Jul 2021)
ISSN: 1998-4138 [Electronic] India |
PMID | 34269295
(Publication Type: Journal Article)
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Chemical References |
- AFP protein, human
- Biomarkers
- Biomarkers, Tumor
- Protein Precursors
- alpha-Fetoproteins
- acarboxyprothrombin
- Prothrombin
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Topics |
- Aged
- Biomarkers
(blood)
- Biomarkers, Tumor
(blood)
- Carcinoma, Hepatocellular
(blood, diagnosis, pathology, surgery)
- Clinical Decision-Making
(methods)
- Hepatectomy
- Humans
- Liver
(blood supply, pathology)
- Liver Neoplasms
(blood, diagnosis, pathology, surgery)
- Male
- Microvessels
(pathology)
- Middle Aged
- Neoplasm Invasiveness
- Neoplasm Staging
- Nomograms
- Preoperative Period
- Protein Precursors
(blood)
- Prothrombin
- ROC Curve
- Retrospective Studies
- Tumor Burden
- alpha-Fetoproteins
(analysis)
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