Objectives. Colorectal cancer has a high prevalence worldwide, and
new predictive and prognostic factors are needed for its early diagnosis,
treatment, and follow-up. In this study, we have investigated the relationship
between colorectal cancer and neutrophil to lymphocyte ratio (NLR), mean platelet volume (MPV), and platelet to
lymphocyte ratio (PLR) values. Methods. Data from 71 patients
admitted to our hospital between May 2013 and May 2015, who underwent surgical resection
for colorectal cancer, and met the criteria of the study, was evaluated
retrospectively. NLR, MPV and PLR data detected in the preoperative period was
noted. Demographic data, the presence of comorbidity, colonic localization of
the tumor, colonoscopic findings, and surgical resection type and method were
compared with the data of morbidity and mortality, lymphovascular and
perineural invasion, lymph node and distant metastasis and stage of the
disease. Results. No statistical significance was detected between
preoperative NLR, MPV, and PLR, demographical data, the presence of
comorbidity, colonic localization of the tumor, colonoscopic findings, surgical
resection type and method and morbidity, lymph node and distant metastasis,
lymphovascular invasion, or stage of the disease. However, a statistically
significant relationship was detected between mortality development and NLR and
PLR values (p=0.030; p=0.043; respectively). There was also a
statistically significant relationship between the presence of perineural
invasion and PLR (p=0.031). Conclusion.
Hematological parameters (NLR, MPV, and PLR) evaluated in preoperative period
in patients who have been applied surgical resection for colorectal cancer may
help clinical and pathological staging.
Colorectal cancer surgery mean platelet volume neutrophil to lymphocyte ratio platelet to lymphocyte ratio
Subjects | Health Care Administration |
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Journal Section | Original Articles |
Authors | |
Publication Date | November 4, 2017 |
Submission Date | May 27, 2017 |
Acceptance Date | July 12, 2017 |
Published in Issue | Year 2017 Volume: 3 Issue: 3 |