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The Predictive Value of Red Blood Cell Distribution Width for Survival Outcomes of Metastatic Renal Cell Carcinoma Patients Treated with Targeted Therapy

Oktay Halit Aktepe, Deniz Can Güven, Taha Koray Şahin, Hasan Çagri Yildirim, Burcu Çelikten, Hacı Hasan Yeter, Deniz Yüce, Ömer Dızdar, Mustafa Erman

2021Nutrition and Cancer13 citationsDOI

Abstract

Background We aimed to investigate the prognostic value of red cell distribution width (RDW) in metastatic renal cell carcinoma (mRCC) patients treated with targeted therapy, including sunitinib and pazopanib.Methods A total of 104 mRCC patients were included. The Kaplan–Meier method was used to estimate overall survival (OS) and progression-free survival (PFS), and the long-rank test was used for comparison. Univariate and multivariate Cox proportional hazards models were used to determine the association between RDW and PFS and OS.Results The PFS and OS of all cohorts were 11.8 mo and 25.9 mo, respectively. Receiver operating characteristic analysis revealed that RDW level ≥15.4 was the optimal cutoff value for OS prediction with 73.53% sensitivity and 61.11% specificity (area under curve: 0.64, P = 0.012). RDW level ≥15.4 was found as an independent prognostic parameter for OS when adjusted for the number of covariates, including the International Metastatic Renal Cell Carcinoma Database Consortium (IMDC) scoring system (hazard ratio: 1.125, 95% confidence interval: 1.024–2.235, P = 0.014).Conclusions Our study revealed that high RDW level, a routinely and easily assessed marker, was significantly associated with worse survival outcomes in mRCC patients treated with targeted therapy.

Topics & Concepts

MedicineHazard ratioRenal cell carcinomaInternal medicineProportional hazards modelSunitinibOncologyRed blood cell distribution widthReceiver operating characteristicProgression-free survivalConfidence intervalClear cell renal cell carcinomaPazopanibMultivariate analysisUrologyOverall survivalInflammatory Biomarkers in Disease PrognosisRenal cell carcinoma treatmentRadiomics and Machine Learning in Medical Imaging
The Predictive Value of Red Blood Cell Distribution Width for Survival Outcomes of Metastatic Renal Cell Carcinoma Patients Treated with Targeted Therapy | Litcius