Prognostic value of the lymphocytetomonocyte rat

Authors: Abdullah Cetin Tanrikulu Abdurrahman Abakay Halil Komek Ozlem Abakay

Publish Date: 2016/09

Volume: 21, Issue: 5, Pages: 304-

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Abstract

Two hundred and ninetytwo MPM patients 167 male and 125 female were included in this retrospective study Demographic parameters were collected from the patients’ files Kaplan–Meier curves and multivariate Cox regression analyses were used for the analysis of prognosisThe mean age of the patients was 584 years The mean survival time was 146 ± 130 months Twentyfour potential prognostic factors associated with a poor outcome were calculated in the univariate analysis and 16 potential prognostic factors were associated with a poor prognosis These 16 potential prognostic factors were also analyzed in multivariate analysis Multivariate analysis showed that increased age stage 3–4 disease the nonepithelial type a low Karnofsky performance score a high white blood cell count and a low lymphocytetomonocyte ratio LMR were associated with a poor prognosis The results of the multivariate analysis showed that a decreased LMR was associated with poor survival Patients with LMR ≤26 had poor survival compared with those with LMR 26 mean 96 vs 170 months respectively p = 0004Malignant pleural mesothelioma MPM is a rare aggressive tumor originating from the pleural mesothelium that is associated with poor survival and there is limited knowledge concerning its natural history 1 Due to environmental asbestos exposure MPM is commonly seen in the southeast region of Turkey 2–4 MPM has a poor prognosis and the mean survival time has been reported to be approximately 12 months 4–6The European Organization for Research and Treatment of Cancer EORTC and Cancer and Leukemia Group B CALGB devised two prognostic scoring systems for use in patients with mesothelioma 7 8 However these scoring systems are not routinely used for MPM prognosis because they are timeconsuming and require costly equipmentIdentification of parameters that are useful easy and inexpensive to measure for predicting MPM prognosis is needed Furthermore these parameters may be useful for estimating the occurrence of malignant mesothelioma MM after asbestos exposure and predicting treatment options and results

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