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Updates Surg ; 70(1): 33-39, 2018 Mar.
Article in English | MEDLINE | ID: mdl-29222632

ABSTRACT

Interaction between tumour and host triggers a systemic inflammatory response. This situation has been associated to cancer progression. Several peripheral blood inflammatory scores have been recently developed, as PLR. Data about the relationship between these scores and cancer prognosis are contradictory. Therefore, the aim of our work is to evaluate the capability of PLR to predict long-term outcomes (OS and RFS) in patients who underwent curative surgery for colon cancer. A retrospective study was designed with patients who underwent curative surgery for colon cancer between September 2008 and January 2012 at Rio Hortega University Hospital, Valladolid (Spain). We analysed the influence of PLR and other clinical variables on OS and RFS. Finally, 201 patients were analysed. Optimal cut-off value for PLR, established with ROC curves, was 153. 1-, 3- and 5-year OS were: 99.0, 90.4 and 82.3% for low PLR, and 93.8, 74.9 and 61.9% for high PLR, p < 0.001. 1-, 3- and 5-year RFS were: 92.4, 84.7 and 77.6% for low PLR, and 83.3, 64.5 and 52.6% for high PLR, p < 0.001. In MVA, high PLR was an independent negative prognostic factor for OS (HR = 2.11; 95% CI 1.22-3.66; p = 0.008) and RFS (HR = 1.99; 95% CI 1.19-3.34; p = 0.009). PLR represents an independent negative prognostic factor for OS and RFS in our sample of patients who underwent curative surgery for colon cancer. However, further studies with a larger sample size from different populations are necessary to confirm this conclusion.


Subject(s)
Adenocarcinoma/diagnosis , Biomarkers, Tumor/blood , Blood Platelets/metabolism , Colectomy , Colonic Neoplasms/diagnosis , Lymphocytes/metabolism , Adenocarcinoma/blood , Adenocarcinoma/mortality , Adenocarcinoma/surgery , Adult , Aged , Colonic Neoplasms/blood , Colonic Neoplasms/mortality , Colonic Neoplasms/surgery , Female , Follow-Up Studies , Humans , Lymphocyte Count , Male , Middle Aged , Platelet Count , Preoperative Period , Prognosis , ROC Curve , Retrospective Studies , Survival Analysis
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