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Preoperative systemic immune-inflammation index predicts prognosis of patients with oral squamous cell carcinoma after curative resection
BACKGROUND: Deregulated inflammation and immune deficit both intricately associate with cancer initiation and progression, which have been increasingly exploited as prognostic biomarkers and therapeutic targets. Recently, systemic immune-inflammation index (SII) based on peripheral neutrophil, lymph...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6299596/ https://www.ncbi.nlm.nih.gov/pubmed/30563540 http://dx.doi.org/10.1186/s12967-018-1742-x |
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author | Diao, Pengfei Wu, Yaping Li, Jin Zhang, Wei Huang, Rong Zhou, Chen Wang, Yanling Cheng, Jie |
author_facet | Diao, Pengfei Wu, Yaping Li, Jin Zhang, Wei Huang, Rong Zhou, Chen Wang, Yanling Cheng, Jie |
author_sort | Diao, Pengfei |
collection | PubMed |
description | BACKGROUND: Deregulated inflammation and immune deficit both intricately associate with cancer initiation and progression, which have been increasingly exploited as prognostic biomarkers and therapeutic targets. Recently, systemic immune-inflammation index (SII) based on peripheral neutrophil, lymphocyte and platelet counts serves as a novel and powerful cancer biomarker with prognostic significance in multiple types of malignancies. Here, we sought to evaluate the prognostic value of preoperative SII in patients with primary oral squamous cell carcinoma (OSCC) after curative resection. METHODS: Two independent cohorts with a total number of 309 patients with OSCC from two tertiary referral hospitals were included and defined as training (Nanjing, 138) and validation (Wuxi, 171) cohort, respectively. Preoperative SII in both cohorts was calculated and its optimal cutoff value was initially determined by X-tile software in the training cohort and then verified in the validation cohort. RESULTS: Our data indicated that high SII (≥ 484.5) was significantly associated with larger tumor size (P < 0.05, Chi square test), reduced overall and disease-free survival (Kaplan–Meir, P < 0.05, Log-rank test). Univariate and multivariate analyses further revealed that SII was an independent prognostic predictor for patient survival. Moreover, the area under receiver operating characteristic curve of SII for survival was significantly greater or comparable to other well-established prognostic parameters, indicative of its satisfactory prediction accuracy and specificity. CONCLUSIONS: Our findings reveal that high preoperative SII associates with poor outcome and serves as a non-invasive, low-cost and powerful prognostic predictor for patients with OSCC. This inflammation/immune-related biomarker holds translational potentials to supplement currently prognostic regime to better stratification of patients and treatment planning. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12967-018-1742-x) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-6299596 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-62995962018-12-20 Preoperative systemic immune-inflammation index predicts prognosis of patients with oral squamous cell carcinoma after curative resection Diao, Pengfei Wu, Yaping Li, Jin Zhang, Wei Huang, Rong Zhou, Chen Wang, Yanling Cheng, Jie J Transl Med Research BACKGROUND: Deregulated inflammation and immune deficit both intricately associate with cancer initiation and progression, which have been increasingly exploited as prognostic biomarkers and therapeutic targets. Recently, systemic immune-inflammation index (SII) based on peripheral neutrophil, lymphocyte and platelet counts serves as a novel and powerful cancer biomarker with prognostic significance in multiple types of malignancies. Here, we sought to evaluate the prognostic value of preoperative SII in patients with primary oral squamous cell carcinoma (OSCC) after curative resection. METHODS: Two independent cohorts with a total number of 309 patients with OSCC from two tertiary referral hospitals were included and defined as training (Nanjing, 138) and validation (Wuxi, 171) cohort, respectively. Preoperative SII in both cohorts was calculated and its optimal cutoff value was initially determined by X-tile software in the training cohort and then verified in the validation cohort. RESULTS: Our data indicated that high SII (≥ 484.5) was significantly associated with larger tumor size (P < 0.05, Chi square test), reduced overall and disease-free survival (Kaplan–Meir, P < 0.05, Log-rank test). Univariate and multivariate analyses further revealed that SII was an independent prognostic predictor for patient survival. Moreover, the area under receiver operating characteristic curve of SII for survival was significantly greater or comparable to other well-established prognostic parameters, indicative of its satisfactory prediction accuracy and specificity. CONCLUSIONS: Our findings reveal that high preoperative SII associates with poor outcome and serves as a non-invasive, low-cost and powerful prognostic predictor for patients with OSCC. This inflammation/immune-related biomarker holds translational potentials to supplement currently prognostic regime to better stratification of patients and treatment planning. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12967-018-1742-x) contains supplementary material, which is available to authorized users. BioMed Central 2018-12-18 /pmc/articles/PMC6299596/ /pubmed/30563540 http://dx.doi.org/10.1186/s12967-018-1742-x Text en © The Author(s) 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Diao, Pengfei Wu, Yaping Li, Jin Zhang, Wei Huang, Rong Zhou, Chen Wang, Yanling Cheng, Jie Preoperative systemic immune-inflammation index predicts prognosis of patients with oral squamous cell carcinoma after curative resection |
title | Preoperative systemic immune-inflammation index predicts prognosis of patients with oral squamous cell carcinoma after curative resection |
title_full | Preoperative systemic immune-inflammation index predicts prognosis of patients with oral squamous cell carcinoma after curative resection |
title_fullStr | Preoperative systemic immune-inflammation index predicts prognosis of patients with oral squamous cell carcinoma after curative resection |
title_full_unstemmed | Preoperative systemic immune-inflammation index predicts prognosis of patients with oral squamous cell carcinoma after curative resection |
title_short | Preoperative systemic immune-inflammation index predicts prognosis of patients with oral squamous cell carcinoma after curative resection |
title_sort | preoperative systemic immune-inflammation index predicts prognosis of patients with oral squamous cell carcinoma after curative resection |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6299596/ https://www.ncbi.nlm.nih.gov/pubmed/30563540 http://dx.doi.org/10.1186/s12967-018-1742-x |
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