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Nomograms based on inflammatory biomarkers for predicting tumor grade and micro-vascular invasion in stage I/II hepatocellular carcinoma
- Source :
- Bioscience Reports
- Publication Year :
- 2018
- Publisher :
- Portland Press Ltd., 2018.
-
Abstract
- Background: Increasing evidences reveal that inflammation plays a critical role in tumorigenesis and progression. We aimed to develop the nomograms based on inflammatory biomarkers to predict micro-vascular invasion (MVI) and tumor grade in stage I/II hepatocellular carcinoma (HCC). Methods: A retrospective cohort of 627 patients with stage I/II HCC between January 2007 and December 2014 was included in the study. Logistic regression was performed to identify the independent risk factors of tumor grade and MVI. The significant predictors including neutrophil-to-lymphocyte ratio (NLR), derived neutrophil-to-lymphocyte ratio (dNLR), lymphocyte-to-monocyte ratio (LMR), tumor volume age, and tumor size were subsequently incorporated to build the nomograms. The prediction accuracies of the nomograms were evaluated using the area under the receiver operating characteristic (ROC) curve. Results: The independent risk factors for tumor grade were NLR, dNLR, and tumor volume (P Conclusion: We successfully developed nomograms predicting tumor grade and MVI based on inflammatory biomarkers with high accuracy, leading to a rational therapeutic choice for stage I/II HCC.
- Subjects :
- Oncology
medicine.medical_specialty
Biophysics
Logistic regression
Biochemistry
nomogram
03 medical and health sciences
Tumor grade
tumor grade
0302 clinical medicine
Internal medicine
Medicine
Molecular Biology
Research Articles
inflammatory biomarkers
micro-vascular invasion
Receiver operating characteristic
business.industry
Retrospective cohort study
hepatocellular carcinoma
Cell Biology
Nomogram
medicine.disease
Inflammatory biomarkers
Confidence interval
030220 oncology & carcinogenesis
Hepatocellular carcinoma
030211 gastroenterology & hepatology
business
Research Article
Subjects
Details
- ISSN :
- 15734935 and 01448463
- Volume :
- 38
- Database :
- OpenAIRE
- Journal :
- Bioscience Reports
- Accession number :
- edsair.doi.dedup.....6f1cf96e7085979099baac77fde29e16