A Predictive Scoring System Based on Inflammatory and Tumor Markers for Gastric Cancer Patients Undergoing Curative Resection

Li-Wen Feng; Jing Li; Li-Feng Liang; Qian-Qian Guo; Jiang Li; Jian Wu; Pei-Hua Zhang; Yan-Ru Qin

doi:10.2147/CMAR.S250408

A Predictive Scoring System Based on Inflammatory and Tumor Markers for Gastric Cancer Patients Undergoing Curative Resection

Cancer Manag Res. 2020 May 26:12:3937-3948. doi: 10.2147/CMAR.S250408. eCollection 2020.

Authors

Li-Wen Feng¹, Jing Li¹, Li-Feng Liang², Qian-Qian Guo¹, Jiang Li³, Jian Wu³, Pei-Hua Zhang³, Yan-Ru Qin¹

Affiliations

¹ Department of Oncology, Zhengzhou University First Affiliated Hospital, Zhengzhou, Henan, People's Republic of China.
² Department of Internal Medicine, Zhengzhou University First Affiliated Hospital, Zhengzhou, Henan, People's Republic of China.
³ Preventive Medicine, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China.

Abstract

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) (<13.33), and carbohydrate antigen 19-9 (CA19-9) (>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 (<13.33) and higher CA19-9 (>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<0.001). Moreover, a nomogram for DFS and CSS was generated using the significant characteristics in the multivariate analysis, which exhibited high accuracy (for DFS: C-index=0.743, 95% CI: 0.698-0.788; for CSS: C-index=0.766, 95% CI: 0.718-0.814) versus tumor-node-metastasis staging (for DFS: C-index=0.692, 95% CI: 0.650-0.734; for CSS: C-index=0.720, 95% CI: 0.675-0.764).

Conclusion: Preoperative CACPS exhibited high accuracy in predicting prognosis for GC patients who underwent curative resection.

Keywords: albumin fibrinogen ratio; carbohydrate antigen 19-9; prognosis.