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Predictive impact of the inflammation‐based indices in colorectal cancer patients with adjuvant chemotherapy

Increasing evidences reported that cancer‐triggered inflammation was associated with survival prognosis from colorectal cancer (CRC). However, the comprehensive effects of inflammatory‐based coNLR‐PLR that combines neutrophil‐to‐lymphocyte ratio (NLR) and platelet‐to‐lymphocyte ratio (PLR) rarely re...

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Autores principales: Tao, Yong, Ding, Lei, Yang, Guan Gen, Qiu, Jian Ming, Wang, Dong, Wang, Hongtao, Fu, Chao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6051147/
https://www.ncbi.nlm.nih.gov/pubmed/29761858
http://dx.doi.org/10.1002/cam4.1542
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author Tao, Yong
Ding, Lei
Yang, Guan Gen
Qiu, Jian Ming
Wang, Dong
Wang, Hongtao
Fu, Chao
author_facet Tao, Yong
Ding, Lei
Yang, Guan Gen
Qiu, Jian Ming
Wang, Dong
Wang, Hongtao
Fu, Chao
author_sort Tao, Yong
collection PubMed
description Increasing evidences reported that cancer‐triggered inflammation was associated with survival prognosis from colorectal cancer (CRC). However, the comprehensive effects of inflammatory‐based coNLR‐PLR that combines neutrophil‐to‐lymphocyte ratio (NLR) and platelet‐to‐lymphocyte ratio (PLR) rarely remain to be determined during chemotherapy. We retrospectively analyzed clinical data and baseline laboratory parameters from 153 colorectal cancer patients who underwent palliative adjuvant chemotherapy between January 2009 to January 2012. Receiver operating characteristic (ROC) curves and linear regression analyzed the predictive ability of NLR, and PLR for calculating the score of coNLR‐PLR. Overall survival (OS) and recurrence‐free survival (RFS) rates were estimated using the Kaplan‐Meier method and analyzed by the Cox proportional hazards model in univariate and multivariate analysis. The optimal cut‐off value of NLR and PLR was 2.24 and 186 by the ROC analysis. Kaplan‐Meier method showed that patients with high coNLR‐PLR score was associated with poorer OS and RFS (all P < .05). In univariate and multivariate analysis, it obtained that the coNLR‐PLR severed as a strong independent prognostic factor for OS and RFS (all P < .05). These results highlight that coNLR‐PLR index severed as a strong predictor of prognosis biomarker in CRC patients receiving adjuvant chemotherapy. Furthermore, its assessment could contribute to accurately predicting prognosis after chemotherapy in clinical practice.
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spelling pubmed-60511472018-07-20 Predictive impact of the inflammation‐based indices in colorectal cancer patients with adjuvant chemotherapy Tao, Yong Ding, Lei Yang, Guan Gen Qiu, Jian Ming Wang, Dong Wang, Hongtao Fu, Chao Cancer Med Clinical Cancer Research Increasing evidences reported that cancer‐triggered inflammation was associated with survival prognosis from colorectal cancer (CRC). However, the comprehensive effects of inflammatory‐based coNLR‐PLR that combines neutrophil‐to‐lymphocyte ratio (NLR) and platelet‐to‐lymphocyte ratio (PLR) rarely remain to be determined during chemotherapy. We retrospectively analyzed clinical data and baseline laboratory parameters from 153 colorectal cancer patients who underwent palliative adjuvant chemotherapy between January 2009 to January 2012. Receiver operating characteristic (ROC) curves and linear regression analyzed the predictive ability of NLR, and PLR for calculating the score of coNLR‐PLR. Overall survival (OS) and recurrence‐free survival (RFS) rates were estimated using the Kaplan‐Meier method and analyzed by the Cox proportional hazards model in univariate and multivariate analysis. The optimal cut‐off value of NLR and PLR was 2.24 and 186 by the ROC analysis. Kaplan‐Meier method showed that patients with high coNLR‐PLR score was associated with poorer OS and RFS (all P < .05). In univariate and multivariate analysis, it obtained that the coNLR‐PLR severed as a strong independent prognostic factor for OS and RFS (all P < .05). These results highlight that coNLR‐PLR index severed as a strong predictor of prognosis biomarker in CRC patients receiving adjuvant chemotherapy. Furthermore, its assessment could contribute to accurately predicting prognosis after chemotherapy in clinical practice. John Wiley and Sons Inc. 2018-05-15 /pmc/articles/PMC6051147/ /pubmed/29761858 http://dx.doi.org/10.1002/cam4.1542 Text en © 2018 The Authors. Cancer Medicine published by John Wiley & Sons Ltd. This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Clinical Cancer Research
Tao, Yong
Ding, Lei
Yang, Guan Gen
Qiu, Jian Ming
Wang, Dong
Wang, Hongtao
Fu, Chao
Predictive impact of the inflammation‐based indices in colorectal cancer patients with adjuvant chemotherapy
title Predictive impact of the inflammation‐based indices in colorectal cancer patients with adjuvant chemotherapy
title_full Predictive impact of the inflammation‐based indices in colorectal cancer patients with adjuvant chemotherapy
title_fullStr Predictive impact of the inflammation‐based indices in colorectal cancer patients with adjuvant chemotherapy
title_full_unstemmed Predictive impact of the inflammation‐based indices in colorectal cancer patients with adjuvant chemotherapy
title_short Predictive impact of the inflammation‐based indices in colorectal cancer patients with adjuvant chemotherapy
title_sort predictive impact of the inflammation‐based indices in colorectal cancer patients with adjuvant chemotherapy
topic Clinical Cancer Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6051147/
https://www.ncbi.nlm.nih.gov/pubmed/29761858
http://dx.doi.org/10.1002/cam4.1542
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