已发表论文

RRM1 表达与接受吉西他滨治疗的非小细胞肺癌患者的临床病理特征

 

Authors Chen Y, Huang Y, Chen DM, Wu C, Leng QP, Wang WY, Deng MQ, Zhao YX, Yang XH

Received 16 January 2018

Accepted for publication 9 July 2018

Published 7 September 2018 Volume 2018:11 Pages 5579—5589

DOI https://doi.org/10.2147/OTT.S162667

Checked for plagiarism Yes

Review by Single-blind

Peer reviewers approved by Dr Andrew Yee

Peer reviewer comments 2

Editor who approved publication: Prof. Dr. Geoffrey Pietersz

Background: The usefulness of ribonucleotide reductase catalytic subunit M1 (RRM1) for predicting the therapeutic effects of gemcitabine-containing chemotherapy in patients with non-small cell lung cancer (NSCLC) remains controversial. RRM1-positive patients show unique clinicopathological features.
Methods: Here, we performed a meta-analysis to systematically evaluate the relationship between RRM1 expression and the clinicopathological characteristics of NSCLC patients treated with gemcitabine-containing regimens. A comprehensive electronic and manual search was performed to identify relevant articles. The pooled relative risk (RR) and 95% CI were used to estimate the relation between the clinicopathological characteristics of NSCLC patients and RRM1 expression.
Results: The study included 31 observational studies and 3,667 patients. The analysis showed no significant association between RRM1 expression and pathological type, stage, and smoking status; however, RRM1 positivity was significantly lower in women than in men (43.0% vs 51.7%, RR=0.84, 95% CI: 0.74–0.94, =0.004).
Conclusion: The present pooled analyses demonstrated that RRM1 positivity in women with advanced NSCLC was associated with a higher rate of response to gemcitabine-containing regimens. Immunohistochemistry may be valuable to prescreen for RRM1 expression in clinical practice, whereas PCR can be routinely used as a verification method. These findings will help design suitable molecular-targeted therapies for NSCLC.
Keywords: RRM1, gemcitabine, meta-analysis, clinicopathological features, NSCLC




Figure 1 Flow diagram of study selection.