Literature DB >> 26306143

Inflammation-based factors and prognosis in patients with colorectal cancer.

Kiyoshi Maeda1, Masatusne Shibutani1, Hiroshi Otani1, Hisashi Nagahara1, Tetsuro Ikeya1, Yasuhito Iseki1, Hiroaki Tanaka1, Kazuya Muguruma1, Kosei Hirakawa1.   

Abstract

Several parameters for predicting survival in patients with colorectal cancer have been identified, including the performance status, age, gender and tumor-node-metastasis (TNM) stage. Although the TNM stage is important and useful for predicting the prognosis and determining the appropriate treatment, it is well known that the survival time varies widely, even in patients with the same stage of disease. Therefore, the identification of new parameters capable of more precisely predicting patient survival is needed to help select the optimal treatment, especially in patients in the advanced stage of disease. Although the TNM stage reflects the tumor characteristics, cancer progression and survival are not determined solely based on the local characteristics of the tumor, but also the host systemic immune/inflammatory response. Therefore, using a combination of parameters that reflect both tumor characteristics and the host systemic inflammatory status is thought to be important for accurately predicting patient survival.

Entities:  

Keywords:  C-reactive protein; Colorectal cancer; Glasgow Prognostic Score; Inflammation-based factor; Neutrophil-to-lymphocyte ratio; Nutritional Prognostic Index; Platelet-to-lymphocyte ratio; Prognosis

Year:  2015        PMID: 26306143      PMCID: PMC4543728          DOI: 10.4251/wjgo.v7.i8.111

Source DB:  PubMed          Journal:  World J Gastrointest Oncol


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  25 in total

1.  Prediagnosis Sleep Duration, Napping, and Mortality Among Colorectal Cancer Survivors in a Large US Cohort.

Authors:  Qian Xiao; Hannah Arem; Ruth Pfeiffer; Charles Matthews
Journal:  Sleep       Date:  2017-04-01       Impact factor: 5.849

2.  Novel prognostic scoring system for diffuse large B-cell lymphoma.

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Journal:  Oncol Lett       Date:  2018-02-06       Impact factor: 2.967

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Authors:  Roberts Rumba; Sandra Cipkina; Fanija Cukure; Andrejs Vanags
Journal:  Acta Med Litu       Date:  2018

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Authors:  Masatsune Shibutani; Kiyoshi Maeda; Hisashi Nagahara; Yasuhito Iseki; Kosei Hirakawa; Masaichi Ohira
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5.  Meta-analysis of the efficacy of the pretreatment neutrophil-to-lymphocyte ratio as a predictor of prognosis in renal carcinoma patients receiving tyrosine kinase inhibitors.

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Journal:  Med Sci Monit       Date:  2016-11-24

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Journal:  World J Gastroenterol       Date:  2017-07-14       Impact factor: 5.742

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