Dynamic impact of inflammation-based indices in colorectal cancer patients receiving FOLFOX-based chemotherapy
Inflammatory cellular response is implicated in the pathogenesis of colorectal cancer (CRC). Nevertheless, the dynamic effects of inflammatory index coNLR (neutrophil-to-lymphocyte ratio)-PLR (platelet-to-lymphocyte ratio) during chemotherapy remain elusive. The baseline clinical data and laboratory...
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Published in | Cancer management and research Vol. 11; pp. 2817 - 2829 |
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Main Authors | , , , , , , , , |
Format | Journal Article |
Language | English |
Published |
New Zealand
Dove Medical Press Limited
01.04.2019
Taylor & Francis Ltd Dove Dove Medical Press |
Subjects | |
Online Access | Get full text |
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Summary: | Inflammatory cellular response is implicated in the pathogenesis of colorectal cancer (CRC). Nevertheless, the dynamic effects of inflammatory index coNLR (neutrophil-to-lymphocyte ratio)-PLR (platelet-to-lymphocyte ratio) during chemotherapy remain elusive.
The baseline clinical data and laboratory parameters of 480 CRC patients who received palliative resection of primary tumors and FOLFOX-based chemotherapy from January 2007 to January 2013 were retrospectively analyzed. Receiver operating characteristic curves were plotted to obtain the predictive NLR and PLR values, and to calculate the coNLR-PLR score. The Kaplan-Meier method was used to estimate the rates of recurrence-free survival (RFS) and overall survival (OS), and the Cox proportional hazards model was employed for analysis.
The dynamic cut-off values of NLR during four periods of chemotherapy were 3.029, 2.466, 2.102 and 1.795, respectively, and those of PLR were 216.438, 187.572, 169.027 and 174.368, respectively. A higher coNLR-PLR was significantly associated with lower rates of RFS and OS (
<0.05). Both univariate and multivariate analyses showed that coNLR-PLR was a significant independent prognostic factor for RFS and OS (
<0.05).
CoNLR-PLR was a significant prognostic predictor for CRC patients who received FOLFOX-based chemotherapy. Evaluating this index can accurately predict the clinical treatment outcomes after chemotherapy. |
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Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 |
ISSN: | 1179-1322 1179-1322 |
DOI: | 10.2147/CMAR.S191712 |