Kaplan–Meier analysis revealed that patients with higher pre-treatment RDW levels, higher post-treatment RDW levels, and persistently higher RDW levels had poorer 3-year OS and CSS rates (p< 0.05).Ĭonclusion: The levels of and changes in RDW before and after treatment were associated with the 3-year prognosis of prostate cancer, suggesting that RDW might be an efficient prognostic predictor in patients with prostate cancer. Similar results were observed in the competing risk regression analysis. Multivariate Cox regression analysis revealed that high pre-treatment RDW, high post-treatment RDW, and persistently higher RDW were independently associated with OS and CSS (p< 0.001). In the death group, the level of RDW continued to rise in most subjects, and the mean level of RDW was significantly higher at post-treatment than pre-treatment, contrary to the results observed in the survival group. The levels of pre- and post-treatment RDW levels were significantly higher in the death group than in the survival group (p< 0.001). Results: During the follow-up period, 51 (14.66%) deaths occurred. Cox regression and competing risk regression analyses were performed. The overall survival (OS) and cancer-specific survival (CSS) were analyzed using the Kaplan–Meier method. Demographic and clinical information of the participants were also collected. RDW was measured with the Mindray BC-6800Plus automatic blood counting system at pre- and post-treatment 3-month. Patients and Methods: A total of 348 patients with prostate cancer were recruited between Jand Jand were followed up for at least 3 years. The present study aimed to investigate the relationship between pre-/post-treatment 3-month RDW levels and changes in RDW with 3-year prognosis of prostate cancer.
Purpose: Red cell distribution width (RDW), an inflammation biomarker, has been linked to poor outcomes in patients with different types of cancers.
966 Huaihai Road, Shanghai, 200031, People’s Republic of China *These authors contributed equally to this workĭepartment of Urinary Surgery, Shanghai Xuhui Central Hospital, No. Jie Cheng, 1, * Siyang Wang, 2, * Jingying Jia, 3 Qian Chen, 3 Yunxiao Song, 4 Junsheng Li 1ġDepartment of Urinary Surgery, Shanghai Xuhui Central Hospital, Shanghai, People’s Republic of China 2Department of Geratology, Shanghai Xuhui Central Hospital, Shanghai, People’s Republic of China 3Department of Central Laboratory, Shanghai Xuhui Central Hospital, Shanghai, People’s Republic of China 4Department of Clinical Laboratory, Shanghai Xuhui Central Hospital, Shanghai, People’s Republic of China