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

Tao Yong | Zendy; Ding Lei | Zendy; Yang Guan Gen | Zendy; Qiu Jian Ming | Zendy; Wang Dong | Zendy; Wang Hongtao | Zendy; Fu Chao | Zendy

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

Author(s) -

Tao Yong,

Ding Lei,

Yang Guan Gen,

Qiu Jian Ming,

Wang Dong,

Wang Hongtao,

Fu Chao

Publication year - 2018

Publication title -

cancer medicine

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 1.403

H-Index - 53

ISSN - 2045-7634

DOI - 10.1002/cam4.1542

Subject(s) - medicine , colorectal cancer , proportional hazards model , oncology , receiver operating characteristic , neutrophil to lymphocyte ratio , multivariate analysis , univariate , chemotherapy , univariate analysis , cancer , adjuvant chemotherapy , biomarker , survival analysis , multivariate statistics , lymphocyte , breast cancer , biochemistry , statistics , chemistry , mathematics

Abstract Increasing evidences reported that cancer‐triggered inflammation was associated with survival prognosis from colorectal cancer ( CRC ). However, the comprehensive effects of inflammatory‐based co NLR ‐ 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 co NLR ‐ 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 co NLR ‐ PLR score was associated with poorer OS and RFS (all P < .05). In univariate and multivariate analysis, it obtained that the co NLR ‐ PLR severed as a strong independent prognostic factor for OS and RFS (all P < .05). These results highlight that co NLR ‐ 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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