Clinicopathological and prognostic significance of NM23 expression in patients with non-small cell lung cancer A systematic review and meta-analysis

被引:3
|
作者
Min, Shi-hui [1 ,2 ]
Zheng, Qiang-qiang [2 ,3 ]
机构
[1] Sichuan Univ, West China Sch Publ Hlth, Dept Oncol, Chengdu 610041, Sichuan, Peoples R China
[2] Sichuan Univ, West China Hosp 4, Chengdu 610041, Sichuan, Peoples R China
[3] Sichuan Univ, West China Sch Publ Hlth, Dept Thorac Surg, Chengdu, Sichuan, Peoples R China
关键词
clinicopathological features; meta-analysis; non-metastasis; 23; non-small cell lung cancer; prognostic significance; METASTASIS SUPPRESSOR NM23-H1; PATHOLOGICAL-STAGE-I; IMMUNOHISTOCHEMICAL ANALYSIS; CLINICAL-SIGNIFICANCE; KINASE SUPPRESSOR; GROWTH-FACTOR; PROTEIN; CARCINOMA; P53; PHOSPHORYLATION;
D O I
10.1097/MD.0000000000027919
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Background: There is a heated debate on the clinicopathological features and prognostic significance with non-metastasis 23 (NM23) expression in patients with non-small cell lung cancer (NSCLC). Thus, we conducted this meta-analysis to evaluate the clinicopathological features and prognostic significance of NM23 for NSCLC patients. Methods: Pubmed, Embase, and Web of Science were exhaustively searched to identify relevant studies published prior to March, 2020. Odds radios (ORs) and hazard radios with 95% confidence intervals (CIs) were calculated to summarize the statistics of clinicopathological and prognostic assessments. Q-test and I-2-statistic were utilized to assess heterogeneity across the included studies. We also performed subgroup analyses and meta-regression analyses to identify the source of heterogeneity. Publication bias was detected by Begg and Egger tests. Sensitivity analysis was used to value the stability of our results. All the data were analyzed using statistical packages implemented in R version 4.0.5. Results: Data from a total of 3170 patients from 36 studies were extracted. The meta-analysis revealed that low expression of NM23 was correlated with higher risk of NSCLC (OR = 4.35; 95% CI: 2.76-6.85; P < .01), poorer tumor node metastasis (TNM) staging (OR = 1.39; 95% CI: 1.01-1.90; P = .04), poorer differentiation degree (OR = 1.37; 95% CI: 1.01-1.86; P = .04), positive lymph node metastasis (OR = 1.83; 95% CI: 1.22-2.74; P < .01), lung adenocarcinoma (OR = 1.45; 95% CI: 1.20-1.75; P < .01), and poorer 5-year overall survival (OS) rate (hazard radio = 2.33; 95%CI: 1.32-4.11; P < .01). The subgroup analyses and meta-regression analyses suggested that the "Publication year", "Country", "Sample size", and "Cutoff value" might be the source of heterogeneity in TNM staging, differentiation degree, and lymph node metastasis. Both Begg test and Egger test verified that there were publication bias in 5-year OS rate. Sensitivity analysis supported the credibility of the results. Conclusion: The reduced NM23 expression is strongly associated with higher risk of NSCLC, higher TNM staging, poorer differentiation degree, positive lymph node metastasis, lung adenocarcinoma, and poorer 5-year OS rate in NSCLC patients, which indicated that NM23 could serve as a biomarker predicating the clinicopathological and prognostic significance of NSCLC.
引用
收藏
页数:11
相关论文
共 50 条
  • [1] Clinicopathological and prognostic significance of Nestin expression in patients with non-small cell lung cancer: a systematic review and meta-analysis
    Shuangjiang Li
    Yutian Lai
    Jun Fan
    Cheng Shen
    Guowei Che
    Clinical and Experimental Medicine, 2017, 17 : 161 - 174
  • [2] Clinicopathological and prognostic significance of Nestin expression in patients with non-small cell lung cancer: a systematic review and meta-analysis
    Li, Shuangjiang
    Lai, Yutian
    Fan, Jun
    Shen, Cheng
    Che, Guowei
    CLINICAL AND EXPERIMENTAL MEDICINE, 2017, 17 (02) : 161 - 174
  • [3] Prognostic and clinicopathological significance of nm23-H1 expression in non-small cell lung cancer: A meta-analysis
    Li, Dailong
    Li, Wanqiang
    Tian, Cheng
    Pang, Yaqi
    Xu, Lu
    Wang, Yuke
    Xu, Xinhua
    MEDICINE, 2022, 101 (39) : E30815
  • [4] Prognostic and clinicopathological value of NM23 expression in patients with breast cancer: A systematic review and meta-analysis
    Han, Wei
    Zhang, Cong
    Cao, Fei-yun
    Cao, Fang
    Jiang, Lai
    Ding, Hou-zhong
    CURRENT PROBLEMS IN CANCER, 2017, 41 (01) : 80 - 93
  • [5] Clinicopathological and prognostic significance of Oct-4 expression in patients with non-small cell lung cancer: a systematic review and meta-analysis
    Li, Shuang-Jiang
    Huang, Jian
    Zhou, Xu-Dong
    Zhang, Wen-Biao
    Lai, Yu-Tian
    Che, Guo-Wei
    JOURNAL OF THORACIC DISEASE, 2016, 8 (07) : 1587 - +
  • [6] Clinicopathological and prognostic significance of Nanog expression in non-small cell lung cancer: a meta-analysis
    Huang, Guichuan
    Zhang, Jing
    Wang, Xin
    Chen, Yi
    Liu, Daishun
    Guo, Shuliang
    ONCOTARGETS AND THERAPY, 2019, 12 : 3609 - 3617
  • [7] Clinicopathological and prognostic significance of regulatory T cells in patients with non-small cell lung cancer: A systematic review with meta-analysis
    Zhao, Sha
    Jiang, Tao
    Zhang, Limin
    Yang, Hui
    Liu, Xiaozhen
    Jia, Yijun
    Zhou, Caicun
    ONCOTARGET, 2016, 7 (24) : 36065 - 36073
  • [8] Prognostic and clinicopathological value of osteopontin expression in non-small cell lung cancer: a meta-analysis and systematic review
    Song, Yu
    Li, Haibo
    Jiang, Qing
    Wu, Lianghong
    BIOMARKERS, 2024, 29 (02) : 105 - 113
  • [9] Prognostic and clinicopathological significance of tertiary lymphoid structure in non-small cell lung cancer: a systematic review and meta-analysis
    Ma, Luyuan
    Li, Rongyang
    Liu, Xiaomeng
    Yu, Wenhao
    Tang, Zhanpeng
    Shen, Yi
    Tian, Hui
    BMC CANCER, 2024, 24 (01)
  • [10] Clinicopathological significance of CHFR methylation in non-small cell lung cancer: a systematic review and meta-analysis
    Wang, Chen
    Ma, Wenxia
    Wei, Rong
    Zhang, Xiaoqin
    Shen, Ningning
    Shang, Lifang
    Li, E.
    Wang, Ying
    Gao, Lifang
    Li, Xin
    Wang, Bin
    Zhang, Yaping
    Du, Aiping
    ONCOTARGET, 2017, 8 (65) : 109732 - 109739