Systemic immune-inflammation index for predicting prognosis of colorectal cancer

There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

Abstract

AIM

To investigate the clinical significance of preoperative systemic immune-inflammation index (SII) in patients with colorectal cancer (CRC).

METHODS

A retrospective analysis of 1383 cases with CRC was performed following radical surgery. SII was calculated with the formula SII = (P × N)/L, where P, N, and L refer to peripheral platelet, neutrophil, and lymphocyte counts, respectively. The clinicopathological features and follow-up data were evaluated to compare SII with other systemic inflammation-based prognostic indices such as the neutrophil-lymphocyte ratio (NLR) and platelet-lymphocyte ratio (PLR) in patients with CRC.

RESULTS

The optimal cut-off point for SII was defined as 340. The overall survival (OS) and disease-free survival (DFS) were better in patients with low NLR, PLR, and SII ( P < 0.05). The SII was an independent predictor of OS and DFS in multivariate analysis. The area under the receiver-operating characteristics (ROC) curve for SII (0.707) was larger than those for NLR (0.602) and PLR (0.566). In contrast to NLR and PLR, SII could effectively discriminate between the TNM subgroups.

CONCLUSION

SII is a more powerful tool for predicting survival outcome in patients with CRC. It might assist the identification of high-risk patients among patients with the same TNM stage.

Related collections

Most cited references 15

Record: found
Abstract: found
Article: not found

Inflammation and cancer: advances and new agents.

Shanthini M Crusz, Frances Balkwill (2015)

Tumour-promoting inflammation is considered one of the enabling characteristics of cancer development. Chronic inflammatory disease increases the risk of some cancers, and strong epidemiological evidence exists that NSAIDs, particularly aspirin, are powerful chemopreventive agents. Tumour microenvironments contain many different inflammatory cells and mediators; targeting these factors in genetic, transplantable and inducible murine models of cancer substantially reduces the development, growth and spread of disease. Thus, this complex network of inflammation offers targets for prevention and treatment of malignant disease. Much potential exists in this area for novel cancer prevention and treatment strategies, although clinical research to support targeting of cancer-related inflammation and innate immunity in patients with advanced-stage cancer remains in its infancy. Following the initial successes of immunotherapies that modulate the adaptive immune system, we assert that inflammation and innate immunity are important targets in patients with cancer on the basis of extensive preclinical and epidemiological data. The adaptive immune response is heavily dependent on innate immunity, therefore, inhibiting some of the tumour-promoting immunosuppressive actions of the innate immune system might enhance the potential of immunotherapies that activate a nascent antitumour response.

0 comments Cited 487 times – based on 0 reviews      Review now

Bookmark

Record: found
Abstract: found
Article: not found

The prognostic value of preoperative NLR, d-NLR, PLR and LMR for predicting clinical outcome in surgical colorectal cancer patients.

Hou-Qun Ying, Qi-Wen Deng, Bang-Shun He … (2014)

Accumulating evidences indicate cancer-triggered inflammation plays a pivotal role in carcinogenesis. Systematic inflammatory response biomarkers are considered as potential prognostic factors for improving predictive accuracy in colorectal cancer (CRC). Preoperative neutrophil-to-lymphocyte ratio (NLR), derived neutrophil-to-lymphocyte ratio (d-NLR), platelet-to-lymphocyte ratio (PLR) and lymphocyte- to-monocyte ratio (LMR) were investigated and compared in 205 surgical CRC patients. ROC curve was applied to determine thresholds for four biomarkers, and their prognostic values were assessed using Kaplan-Meier curve, univariate and multivariate COX regression models. Moreover, a number of risk factors were used to form nomograms for evaluating risk of survival, and Harrell's concordance index (c-index) was used to evaluate predictive accuracy. Results showed that elevated NLR was significantly associated with diminished recurrent-free survival (RFS), overall survival (OS) and cancer-specific survival (CSS) in surgical CRC patients. Moreover, multivariate COX analysis identified elevated NLR as an independent factor for poor RFS (P < 0.001, HR 2.52, 95% CI 1.65-3.83), OS (P < 0.001, HR 2.73, 95% CI 1.74-4.29) and CSS (P < 0.001, HR 2.77, 95% CI 1.72-4.46). Additionally, predictive nomograms including NLR for RFS, OS and CSS could be more effective in predicting RFS (c-index: 0.810 vs. 0.656), OS (c-index: 0.809 vs. 0.690) and CSS (c-index: 0.802 vs. 0.688) in surgical CRC patients, respectively. These findings indicate that preoperative elevated NLR can be considered as an independent prognostic biomarker for RFS, OS and CSS. Nomograms containing NLR provide improved accuracy for predicting clinical outcomes in surgical CRC patients under surgery resection.

0 comments Cited 141 times – based on 0 reviews      Review now

Bookmark

Record: found
Abstract: found
Article: not found

Prognostic Nutritional Index Predicts Severe Complications, Recurrence, and Poor Prognosis in Patients With Colorectal Cancer Undergoing Primary Tumor Resection.

Ryuma Tokunaga, Yasuo Sakamoto, Shigeki Nakagawa … (2015)

The prognostic nutritional index is reportedly related to postoperative outcomes.

0 comments Cited 88 times – based on 0 reviews      Review now

Bookmark

All references

Author and article information

Contributors

Jian-Hui Chen

Er-Tao Zhai

Yu-Jie Yuan

Kai-Ming Wu

Jian-Bo Xu

Jian-Jun Peng

Chuang-Qi Chen

Yu-Long He

Shi-Rong Cai

Journal

Journal ID (nlm-ta): World J Gastroenterol

Journal ID (iso-abbrev): World J. Gastroenterol

Journal ID (publisher-id): WJG

Title: World Journal of Gastroenterology

Publisher: Baishideng Publishing Group Inc

ISSN (Print): 1007-9327

ISSN (Electronic): 2219-2840

Publication date (Print): 14 September 2017

Publication date (Electronic): 14 September 2017

Volume: 23

Issue: 34

Pages: 6261-6272