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Predictive potential of Nomogram based on GMWG for patients with hepatocellular carcinoma after radical resection
- Source :
- BMC Cancer, BMC Cancer, Vol 21, Iss 1, Pp 1-10 (2021)
- Publication Year :
- 2021
-
Abstract
- Background Since it’s a challenging task to precisely predict the prognosis of patients with hepatocellular carcinoma (HCC). We developed a nomogram based on a novel indicator GMWG [(Geometric Mean of gamma-glutamyltranspeptidase (GGT) and white blood cell (WBC)] and explored its potential in the prognosis for HCC patients. Methods The patients enrolled in this study were randomly assigned to training and validation cohorts. And we performed the Least Absolute Shrinkage and Selection Operator proportional hazards model (LASSO Cox) model with clinical characteristics, serum indexes, and novel GMWG. Multivariate analysis was performed to build a nomogram. The performance of the nomogram was evaluated by C-index, the area under the receiver operating characteristic curve (AUC), and the calibration curve. Kaplan-Meier curves showed discrimination of the nomogram. Clinical utility was assessed by decision curve analysis (DCA). The discrimination ability of the nomogram was determined by the net reclassification index (NRI). Results The geometric mean of GGT and white WBC count (GMWG), neutrophil to lymphocyte ratio (NLR), and tumor size were significantly associated with the overall survival (OS). The variables above were used to develop the nomogram. The indexes of nomogram were 0.70 and 071 in the training or validation cohort, respectively. AUC of 1-, 3- and 5-year OS showed satisfactory accuracy as well. The calibration curve showed agreement between the ideal and predicted values. Kaplan-Meier curves based on the overall survival (OS) and disease-free survival (DFS) showed significant differences between nomogram predictive low and high groups. DCA showed clinical utilities while NRI showed discrimination ability in both training or validation cohort. Conclusions GMWG might be a potential prognostic indicator for patients with HCC. The nomogram containing GMWG also showed satisfaction prediction capacity.
- Subjects :
- 0301 basic medicine
Oncology
Male
Cancer Research
medicine.medical_specialty
Multivariate analysis
Carcinoma, Hepatocellular
genetic structures
Hepatocellular carcinoma
urologic and male genital diseases
Nomogram
03 medical and health sciences
0302 clinical medicine
Internal medicine
Genetics
Medicine
Humans
Neutrophil to lymphocyte ratio
RC254-282
Receiver operating characteristic
business.industry
Proportional hazards model
Research
Liver Neoplasms
Neoplasms. Tumors. Oncology. Including cancer and carcinogens
Middle Aged
medicine.disease
Radical resection
Prognosis
Nomograms
030104 developmental biology
030220 oncology & carcinogenesis
Female
Geometric mean
business
Subjects
Details
- ISSN :
- 14712407
- Volume :
- 21
- Issue :
- 1
- Database :
- OpenAIRE
- Journal :
- BMC cancer
- Accession number :
- edsair.doi.dedup.....36bb09dac99ac259c93326e6044ebe3f