A Predictive Scoring System Based on Inflammatory and Tumor Markers for Gastric Cancer Patients Undergoing Curative Resection
| Autor: | Pei-Hua Zhang, Qian-Qian Guo, Yan-Ru Qin, Jian Wu, Li-Wen Feng, Li-Feng Liang, Jiang Li, Jing Li |
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| Rok vydání: | 2020 |
| Předmět: |
0301 basic medicine
Curative resection medicine.medical_specialty Scoring system Multivariate analysis business.industry Cancer Nomogram medicine.disease Gastroenterology Predictive value 03 medical and health sciences 030104 developmental biology 0302 clinical medicine medicine.anatomical_structure Oncology Depth of invasion 030220 oncology & carcinogenesis Internal medicine medicine business Lymph node |
| Zdroj: | Cancer Management and Research. 12:3937-3948 |
| ISSN: | 1179-1322 |
| DOI: | 10.2147/cmar.s250408 |
| Popis: | Purpose Inflammation is closely associated with prognosis in gastric cancer (GC). We aimed to assess the predictive value of existing inflammatory and tumor markers in GC, to establish a systemic score based on valuable predictors for early risk stratification of patients, and to create a nomogram for individual risk prediction. Patients and Methods We retrospectively analyzed 401 GC patients who underwent curative gastrectomy from 2007 to 2016. Results Through univariate and multivariate survival analysis, age (>60 years), depth of invasion (pT3-4), lymph node invasion (pN1-3), histologic classification (poor), adjuvant chemotherapy (no), albumin fibrinogen ratio (AFR) ( 27 U/mL) independently indicated inferior disease-free survival (DFS). In addition, depth of invasion, lymph node invasion, histologic classification, adjuvant chemotherapy, AFR, and CA19-9 were incorporated in the prediction of cancer-specific survival (CSS). A combined AFR and CA19-9 prognostic score (CACPS) was established. Lower AFR ( 27 U/mL) were allocated 1 point each in the CACPS (range, 0-2). CACPS can be used as an independent predictor for DFS and CSS in multivariate analysis (for DFS: CACPS 1: HR=2.039, 95% CI: 1.357-3.065, P=0.001; CACPS 2: HR=2.419, 95% CI: 1.397-4.186, P=0.002; for CSS: CACPS 1: HR=2.035, 95% CI: 1.292-3.205, P=0.002; CACPS 2: HR=2.255, 95% CI: 1.252-4.059, P=0.007), with a higher CACPS indicating poor survival according to Kaplan-Meier curves (both P |
| Databáze: | OpenAIRE |
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