已发表论文

调强放射治疗时代鼻咽癌患者血清胱抑素 C 水平的预后价值

 

Authors Tan XR, Huang SY, Gong S, Chen Y, Yang XJ, He QM, He SW, Liu N, Li YQ

Received 12 October 2020

Accepted for publication 2 December 2020

Published 6 January 2021 Volume 2021:14 Pages 29—37

DOI https://doi.org/10.2147/OTT.S286009

Checked for plagiarism Yes

Review by Single anonymous peer review

Peer reviewer comments 2

Editor who approved publication: Dr Arseniy Yuzhalin


Purpose: Serum cystatin C has been considered as a significant prognostic factor for various malignancies. This study aimed to evaluate the relationship between serum cystatin C level before antitumor treatment and the prognosis of nasopharyngeal carcinoma (NPC) patients treated with intensity-modulated radiotherapy (IMRT).
Patients and Methods: A cohort of 2077 NPC patients were enrolled between April 2009 and September 2012. The Kaplan–Meier curves and log rank tests were used to determine the differences of overall survival (OS) and disease-free survival (DFS). Univariate and multivariate Cox regression analyses were used to determine independent prognostic factors.
Results: Overall, 362/2077 (17.4%) patients had high serum cystatin C level, and they were older and more male (both < 0.001), and they had higher TNM stage (all < 0.05). Kaplan–Meier analysis revealed that patients with high serum cystatin C had worse OS (< 0.001) and DFS (< 0.001). Univariate and multivariate Cox regression analysis showed that high serum cystatin C level was an independent prognostic predictor of OS (HR: 1.56, 95%CI: 1.25– 1.95) and DFS (HR: 1.38, 95%CI: 1.13– 1.68). Subgroup analysis based on TNM stage revealed that advanced-stage NPC patients with high serum cystatin C had poorer OS (< 0.001) and DFS (< 0.001).
Conclusion: Our results revealed that high serum cystatin C level before antitumor treatment can predict clinical outcomes of NPC patients treated with IMRT, and it can guide clinicians to formulate more personalized therapy for NPC patients.
Keywords: nasopharyngeal carcinoma, serum cystatin C level, survival prognosis, predictor