4.3 Article

Predictive Values of Postoperative and Dynamic Changes of Inflammation Indexes in Survival of Patients with Resected Colorectal Cancer

Journal

CURRENT MEDICAL SCIENCE
Volume 38, Issue 5, Pages 798-808

Publisher

SPRINGER
DOI: 10.1007/s11596-018-1946-6

Keywords

colorectal cancer; postoperative inflammation index; dynamic change; prognosis

Funding

  1. National Natural Science Foundation of China [81302491, 81572287, 81772499]
  2. Special Research Funds for Doctoral Programs from Ministry of Education of China [20130142120021]
  3. Fundamental Research Funds for the Central Universities, HUST [2013QN001]

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The aim of the present study was to evaluate the prognostic potential of postoperative scores of inflammation indexes and the dynamic changes of scores before and after tumor resection in colorectal cancer patients. The study included 516 colorectal cancer patients with primary colorectal tumor resection. Cox regression was applied to estimate the associations of postoperative and dynamic changes of inflammation indexes with progression-free survival and overall survival. As results, we found that higher postoperative neutrophil to lymphocyte ratio (NLR), neutrophil and monocyte to lymphocyte ratio (NMLR), platelet to lymphocyte ratio (PLR) and systemic immune inflammation index (SII) were associated with shorter progression-free survival. The increased NLR, NMLR, PLR, SII and C-reaction protein (CRP) to albumin (ALB) ratio (CAR) were associated with poor progression-free survival, with HRs (95% CIs) of 1.92 (1.27-2.90), 1.46 (1.11-2.09), 2.10 (1.34-3.30), 1.81 (1.22-2.70) and 1.65 (1.03-2.67), respectively. Postoperative NMLR, SII, CAR, and their dynamic changes were also significantly correlated with overall survival, with the HRs (95% CIs) of 2.63 (1.30-3.97), 2.44 (1.43-4.17), 2.74 (1.31-5.74), 2.08 (1.21-3.60), 1.97 (1.12-3.45) and 2.55 (1.21-5.38) respectively. In conclusion, postoperative inflammation indexes and their dynamic changes, particularly for NMLR, SII and CAR are promising prognostic predictors of CRC patients.

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