A novel systemic inflammation response index (SIRI) for predicting postoperative survival of patients with esophageal squamous cell carcinoma

Int Immunopharmacol. 2018 Dec:65:503-510. doi: 10.1016/j.intimp.2018.10.002. Epub 2018 Nov 5.

Abstract

Background: Inflammation is closely associated with the initiation and development of tumors. Based on the counts of peripheral neutrophils, monocytes and lymphocytes, we established a new systemic inflammation response index (SIRI) to predict postoperative survival of patients with esophageal squamous cell carcinoma (ESCC).

Methods: A total of 916 ESCC patients treated with radical esophagectomy were enrolled in the present study.

Results: Survival analysis indicated that the median overall survival (OS) in patients with SIRI≤1.2 was significantly higher than that in patients with SIRI>1.2. The nomogram including SIRI could more accurately predict OS compared with the TNM staging system. In addition, the changes of SIRI from baseline to 8 weeks after the operation were correlated with patient survival. The patients with an increase in SIRI >75% had worse OS compared with those with no change, while the patients with a decrease in SIRI >75% or in the scope of 25% ~75% exhibited better OS.

Conclusions: SIRI was an independent prognostic index of ESCC patients after the radical resection. The nomogram integrating the SIRI could help clinicians to screen the high-risk patients and formulate the individualized treatment schemes.

Keywords: Esophageal squamous cell carcinoma; Prognosis; Systemic inflammation response index.

MeSH terms

  • Carcinoma, Squamous Cell / diagnosis*
  • Carcinoma, Squamous Cell / mortality
  • Carcinoma, Squamous Cell / pathology
  • Esophageal Neoplasms / diagnosis*
  • Esophageal Neoplasms / mortality
  • Esophageal Neoplasms / pathology
  • Esophagectomy*
  • Female
  • Humans
  • Inflammation / diagnosis*
  • Inflammation / mortality
  • Inflammation / pathology
  • Male
  • Middle Aged
  • Neoplasm Recurrence, Local
  • Neoplasm Staging
  • Nomograms
  • Prognosis
  • Research Design*
  • Risk
  • Survival Analysis