Prognostic Value Of Preoperative Systemic Inflammatory Biomarkers In Patients With Gallbladder Cancer And The Establishment Of A Nomogram
| Autor: | Feng Zhang, Shuai Wang, Xiao Yu, Yan Deng, Cheng-Long Huo, Zhen-Gang Sun |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
0301 basic medicine
Oncology medicine.medical_specialty Proportional hazards model business.industry medicine.medical_treatment Lymphocyte Nomogram medicine.disease Inflammatory biomarkers 03 medical and health sciences 030104 developmental biology 0302 clinical medicine medicine.anatomical_structure 030220 oncology & carcinogenesis Internal medicine medicine T-stage Cholecystectomy Gallbladder cancer Neutrophil to lymphocyte ratio business |
| Zdroj: | Cancer Management and Research. 11:9025-9035 |
| ISSN: | 1179-1322 |
| Popis: | Background and aim Preoperative systemic inflammatory biomarkers, including neutrophil to lymphocyte ratio (NLR), derived neutrophil to lymphocyte ratio (dNLR), platelet to lymphocyte ratio (PLR), and lymphocyte to monocyte ratio (LMR) have been developed to predict patient outcome in several types of carcinomas. The aim of this study was to investigate the potential prognostic value of NLR, dNLR, PLR, and LMR, and establish a prognostic nomogram in postoperative GBC patients who underwent radical cholecystectomy. Methods 169 GBC patients were retrospectively enrolled in the present study. ROC curve analysis was used to determine the optimal cut-off values of systemic inflammatory biomarkers. The prognostic value of those biomarkers was investigated according to the Kaplan-Meier method and Cox regression model. A relevant prognostic nomogram was established. Results Results showed that NLR, dNLR, PLR, and LMR were significantly associated with overall survival (OS); whereas, NLR and LMR were retained as independent indicators. Based on these independent predictors including tumor differentiation, T stage, N stage, CEA, NLR, and LMR, a nomogram was generated with an accuracy of 0.801. Conclusion Based on our findings, the predictive nomogram could accurately predict individualized survival probability of postoperative GBC patients, and might support clinicians in treatment optimization and clinical decision-making. |
| Databáze: | OpenAIRE |
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