J. Rui, Lin Yingping, Lijun Gu, Zhiyan Wang, Jing Zuo, Lin Zha
{"title":"A Meta Analysis on Prognostic Value of Patients with Non-Small Cell Lung Cancer","authors":"J. Rui, Lin Yingping, Lijun Gu, Zhiyan Wang, Jing Zuo, Lin Zha","doi":"10.1166/jmihi.2018.2564","DOIUrl":null,"url":null,"abstract":"Nuclear factor kappa B (NF-κB), a key nuclear transcription factor, is associated with prognosis in a variety of human cancers. However, the clinical value of NF-κB in non-small cell lung cancer (NSCLC) is still controversial. Therefore, the aim of this meta-analysis\n was to obtain an accurate evaluation of the relationship between NF-κB expression and survival prognosis of NSCLC patients based on published articles. PubMed, EMBASE and Web of Science databases were systematically searched for potential articles. A total of 1159 patients from\n 7 eligible studies comparing prognostic significance of NF-κB expression levels in NSCLC were included in our meta-analysis. I2 statistic and P value were performed to evaluate heterogeneity using Review Manager version 5.3. The results of analysis were\n presented as hazard ratio (HR) or odds ratios with 95% confidence interval (95% CI). Subgroup analysis based on ethnicity of NSCLC patients was conducted to illustrate the potential discrepancy. Significant heterogeneity was considered at I2 > 50% and P < 0.05,\n and random-effects model was used. The combined results indicated that higher NF-κB expression was associated with shorter overall survival of NSCLC patients (HR = 2.78, 95% CI = 1.51–5.12, P = 0.001). Moreover, NF-κB expression was closely associated\n with tumor stage (HR = 0.32, 95% CI = 0.18–0.57, P < 0.0001) and lymph node metastasis (HR = 0.56, 95% CI = 0.38–0.83, P = 0.004). We conclude that NF-κB expression may be a potential unfavorable prognostic marker for NSCLC patients.","PeriodicalId":49032,"journal":{"name":"Journal of Medical Imaging and Health Informatics","volume":"5 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Medical Imaging and Health Informatics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1166/jmihi.2018.2564","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Nuclear factor kappa B (NF-κB), a key nuclear transcription factor, is associated with prognosis in a variety of human cancers. However, the clinical value of NF-κB in non-small cell lung cancer (NSCLC) is still controversial. Therefore, the aim of this meta-analysis
was to obtain an accurate evaluation of the relationship between NF-κB expression and survival prognosis of NSCLC patients based on published articles. PubMed, EMBASE and Web of Science databases were systematically searched for potential articles. A total of 1159 patients from
7 eligible studies comparing prognostic significance of NF-κB expression levels in NSCLC were included in our meta-analysis. I2 statistic and P value were performed to evaluate heterogeneity using Review Manager version 5.3. The results of analysis were
presented as hazard ratio (HR) or odds ratios with 95% confidence interval (95% CI). Subgroup analysis based on ethnicity of NSCLC patients was conducted to illustrate the potential discrepancy. Significant heterogeneity was considered at I2 > 50% and P < 0.05,
and random-effects model was used. The combined results indicated that higher NF-κB expression was associated with shorter overall survival of NSCLC patients (HR = 2.78, 95% CI = 1.51–5.12, P = 0.001). Moreover, NF-κB expression was closely associated
with tumor stage (HR = 0.32, 95% CI = 0.18–0.57, P < 0.0001) and lymph node metastasis (HR = 0.56, 95% CI = 0.38–0.83, P = 0.004). We conclude that NF-κB expression may be a potential unfavorable prognostic marker for NSCLC patients.
期刊介绍:
Journal of Medical Imaging and Health Informatics (JMIHI) is a medium to disseminate novel experimental and theoretical research results in the field of biomedicine, biology, clinical, rehabilitation engineering, medical image processing, bio-computing, D2H2, and other health related areas. As an example, the Distributed Diagnosis and Home Healthcare (D2H2) aims to improve the quality of patient care and patient wellness by transforming the delivery of healthcare from a central, hospital-based system to one that is more distributed and home-based. Different medical imaging modalities used for extraction of information from MRI, CT, ultrasound, X-ray, thermal, molecular and fusion of its techniques is the focus of this journal.