Literature DB >> 27602221

Prognostic value of parameters derived from white blood cell and differential counts in patients receiving palliative radiotherapy.

Tetsuo Saito1, Ryo Toya2, Tomohiko Matsuyama1, Akiko Semba1, Keiya Matsuyama1, Natsuo Oya1.   

Abstract

The aim of the present study was to identify white blood cell (WBC) parameters with high prognostic value for the survival of patients receiving palliative radiotherapy. The prognostic value of seven parameters derived from WBC and differential counts was retrospectively evaluated in patients who underwent palliative radiotherapy between October, 2010 and June, 2013. The analyzed parameters were the total WBC count, the absolute and relative lymphocyte count, the absolute and relative neutrophil count, and the neutrophil-to-lymphocyte and lymphocyte-to-monocyte ratios. Following univariate analysis, multivariate Cox regression analysis was performed to adjust for gender, age, disease type, previous chemotherapy, previous radiotherapy and the levels of albumin and lactate dehydrogenase. A total of 220 patients with a median survival of 4.7 months were identified. All seven parameters were found to be statistically significant predictors of survival on univariate Cox regression analysis (P<0.05). Of these parameters, the low relative lymphocyte and high relative neutrophil counts were consistent predictors of poor survival in patients who received chemotherapy within 1 month prior to blood sampling (n=68) and in patients who received steroid treatment at the time of sampling (n=49). Multivariate Cox regression analysis revealed that the relative lymphocyte and neutrophil counts were independent predictors of survival in all 220 patients (P<0.05). In conclusion, relative lymphocyte and neutrophil counts were of high prognostic value for the survival of patients receiving palliative radiotherapy, even in those receiving medications that affect WBC and differential counts.

Entities:  

Keywords:  overall survival; palliative radiotherapy; prediction of survival; prognostic factor; white blood cell parameters

Year:  2016        PMID: 27602221      PMCID: PMC4998212          DOI: 10.3892/mco.2016.965

Source DB:  PubMed          Journal:  Mol Clin Oncol        ISSN: 2049-9450


  35 in total

1.  Pretreatment levels of peripheral neutrophils and lymphocytes as independent prognostic factors in patients with nasopharyngeal carcinoma.

Authors:  Jian-Rong He; Guo-Ping Shen; Ze-Fang Ren; Han Qin; Cui Cui; Ying Zhang; Yi-Xin Zeng; Wei-Hua Jia
Journal:  Head Neck       Date:  2012-02-09       Impact factor: 3.147

2.  Development of a predicting tool for survival of terminally ill cancer patients.

Authors:  Ichinosuke Hyodo; Tatsuya Morita; Isamu Adachi; Yasuo Shima; Akitaka Yoshizawa; Kazuaki Hiraga
Journal:  Jpn J Clin Oncol       Date:  2010-01-18       Impact factor: 3.019

3.  Tumor size as a recommendable variable for accuracy of the prognostic prediction of gastric cancer: a retrospective analysis of 1,521 patients.

Authors:  Jingyu Deng; Rupeng Zhang; Yuan Pan; Xuewei Ding; Mingzhi Cai; Yong Liu; Honggen Liu; Tao Bao; Xuguang Jiao; Xishan Hao; Han Liang
Journal:  Ann Surg Oncol       Date:  2014-08-26       Impact factor: 5.344

4.  Palliative radiotherapy during the last month of life: Predictability for referring physicians and radiation oncologists.

Authors:  Carsten Nieder; Kent Angelo; Astrid Dalhaug; Adam Pawinski; Ellinor Haukland; Jan Norum
Journal:  Oncol Lett       Date:  2015-09-02       Impact factor: 2.967

5.  How radiation oncologists evaluate and incorporate life expectancy estimates into the treatment of palliative cancer patients: a survey-based study.

Authors:  Yolanda D Tseng; Monica S Krishnan; Adam J Sullivan; Joshua A Jones; Edward Chow; Tracy A Balboni
Journal:  Int J Radiat Oncol Biol Phys       Date:  2013-11-01       Impact factor: 7.038

6.  Prechemotherapy serum CA125 level as a predictor of survival outcome in epithelial carcinoma of the ovary.

Authors:  N G Davidson; S Khanna; P H Kirwan; D Bircumshaw
Journal:  Clin Oncol (R Coll Radiol)       Date:  1991-01       Impact factor: 4.126

7.  Validation of a predictive model for survival in metastatic cancer patients attending an outpatient palliative radiotherapy clinic.

Authors:  Edward Chow; Mohamed Abdolell; Tony Panzarella; Kristin Harris; Andrea Bezjak; Padraig Warde; Ian Tannock
Journal:  Int J Radiat Oncol Biol Phys       Date:  2009-01-01       Impact factor: 7.038

8.  Survival prediction in terminally ill cancer patients by clinical estimates, laboratory tests, and self-rated anxiety and depression.

Authors:  Stephan Gripp; Sibylle Moeller; Edwin Bölke; Gerd Schmitt; Christiane Matuschek; Sonja Asgari; Farzin Asgharzadeh; Stephan Roth; Wilfried Budach; Matthias Franz; Reinhardt Willers
Journal:  J Clin Oncol       Date:  2007-08-01       Impact factor: 44.544

9.  Stage, age, and EBV status impact outcomes of plasmablastic lymphoma patients: a clinicopathologic analysis of 61 patients.

Authors:  Sanam Loghavi; Khaled Alayed; Tariq N Aladily; Zhuang Zuo; Siok-Bian Ng; Guilin Tang; Shimin Hu; C Cameron Yin; Roberto N Miranda; L Jeffrey Medeiros; Joseph D Khoury
Journal:  J Hematol Oncol       Date:  2015-06-10       Impact factor: 17.388

10.  Simple prognostic score for metastatic castration-resistant prostate cancer with incorporation of neutrophil-to-lymphocyte ratio.

Authors:  Arnoud J Templeton; Carmel Pezaro; Aurelius Omlin; Mairéad G McNamara; Raya Leibowitz-Amit; Francisco E Vera-Badillo; Gerhardt Attard; Johann S de Bono; Ian F Tannock; Eitan Amir
Journal:  Cancer       Date:  2014-07-03       Impact factor: 6.860

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.