Identification of microRNAs as novel biomarkers for detecting esophageal squamous cell carcinoma in Asians: a meta-analysis

被引:16
|
作者
Wang, Yanying [1 ]
Wang, Qingxiu [2 ]
Zhang, Na [3 ]
Ma, Hong [4 ]
Gu, Yuchun [2 ]
Tang, Hongming [5 ]
Xu, Zengguang [5 ]
Gao, Yong [5 ,6 ]
机构
[1] Tongji Univ, Dept Gastroenterol, Sch Med, East Hosp, Shanghai 200120, Peoples R China
[2] Tongji Univ, Dept Anesthesiol, Sch Med, East Hosp, Shanghai 200120, Peoples R China
[3] Harbin Univ Commerce, Key Lab Food Sci & Engn Heilongjiang Prov, Harbin 150076, Peoples R China
[4] Tongji Univ, Dept Ultrasonog, Sch Med, East Hosp, Shanghai 200120, Peoples R China
[5] Tongji Univ, Res Ctr Translat Med, Sch Med, East Hosp, Shanghai 200120, Peoples R China
[6] Tongji Univ, Dept Oncol, Sch Med, East Hosp, Shanghai 200120, Peoples R China
关键词
MicroRNA; Blood; Saliva; Esophageal squamous cell carcinoma; Meta-analysis; Biomarker; CIRCULATING MICRORNAS; POTENTIAL BIOMARKER; EXPRESSION PROFILE; SYSTEMATIC REVIEWS; CANCER; PLASMA; SERUM; PATHOGENESIS; DISCOVERY; DIAGNOSIS;
D O I
10.1007/s13277-014-2350-x
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Accumulating evidence has suggested that microRNAs (miRNAs) may play potential role as ideal diagnostic indicators of esophageal squamous cell carcinoma (ESCC). However, previous studies have met discrepant results. Thus, we conducted this meta-analysis to assess the potential diagnostic value of miRNAs for ESCC. A systematic literature search was conducted in PubMed and other databases. The pooled sensitivity (SEN), specificity (SPE), positive likelihood ratio (PLR), negative likelihood ratio (NLR), diagnostic odds ratio (DOR), and area under the curve (AUC) were calculated to evaluate the overall test performance. The Q statistic and the I (2) test were used to assess between-study heterogeneity. The potential sources of heterogeneity were further analyzed by subgroup analyses and meta-regression. Seventeen studies from eight articles, including 995 ESCC patients and 733 healthy controls, were included in this meta-analysis. The pooled SEN and SPE were 0.81 (95 % confidence interval (CI) 0.76-0.85) and 0.83 (95 % CI 0.76-0.88), respectively. The pooled PLR was 4.6 (95 % CI 3.3-6.5), NLR was 0.23 (95 % CI 0.19-0.29), and DOR was 20 (95 % CI 13-31). The pooled AUC was 0.91 (95 % CI 0.88-0.93). Subgroup analyses indicated that blood-based miRNA assay displays better diagnostic accuracy than saliva-based miRNA assay. In summary, miRNA analysis may serve as novel noninvasive biomarkers for ESCC with excellent diagnostic characteristic. In addition, subgroup analysis suggested that blood-based assay yields better diagnostic characteristics than saliva-based assay. However, many issues should be managed before these findings can be translated into a clinically useful detection method for ESCC.
引用
收藏
页码:11595 / 11604
页数:10
相关论文
共 50 条
  • [21] Endoscopic Ultrasound for Preoperative Esophageal Squamous Cell Carcinoma: a Meta-Analysis
    Luo, Lin-na
    He, Long-jun
    Gao, Xiao-yan
    Huang, Xin-xin
    Shan, Hong-bo
    Luo, Guang-yu
    Li, Yin
    Lin, Shi-yong
    Wang, Guo-bao
    Zhang, Rong
    Xu, Guo-liang
    Li, Jian-jun
    PLOS ONE, 2016, 11 (07):
  • [22] MicroRNAs as Biomarkers for Hepatocellular Carcinoma: A Diagnostic Meta-Analysis
    Hu, Qiong-Ying
    Jiang, Hong
    Su, Jun
    Jia, Yong-Qian
    CLINICAL LABORATORY, 2013, 59 (9-10) : 1113 - 1120
  • [23] Identification and validation of hub microRNAs dysregulated in esophageal squamous cell carcinoma
    Sang, Chen
    Chao, Ce
    Wang, Min
    Zhang, Youpu
    Luo, Guanghua
    Zhang, Xiaoying
    AGING-US, 2020, 12 (10): : 9807 - 9824
  • [24] Areca nut chewing and esophageal squamous-cell carcinoma risk in Asians: A meta-analysis of case-control studies
    Akhtar, Saeed
    CANCER CAUSES & CONTROL, 2013, 24 (02) : 257 - 265
  • [25] Identification of novel biomarkers for lung squamous cell carcinoma
    Ranjitha Guttapadu
    Teesta Katte
    Deepak Sayeeram
    Saloni Bhatia
    Anika Rachel Abraham
    Kiran Rajeev
    Anish Raju R. Amara
    Sharadhi Siri
    Kavitha Bommana
    Avinash Arvind Rasalkar
    Rajyalakshmi Malempati
    Mohammed S. Mustak
    Prathibha Narayanan
    S. Divijendra Natha Reddy
    3 Biotech, 2023, 13
  • [26] Identification of novel biomarkers for lung squamous cell carcinoma
    Guttapadu, Ranjitha
    Katte, Teesta
    Sayeeram, Deepak
    Bhatia, Saloni
    Abraham, Anika Rachel
    Rajeev, Kiran
    Amara, Anish Raju R.
    Siri, Sharadhi
    Bommana, Kavitha
    Rasalkar, Avinash Arvind
    Malempati, Rajyalakshmi
    Mustak, Mohammed S.
    Narayanan, Prathibha
    Reddy, S. Divijendra Natha
    3 BIOTECH, 2023, 13 (02)
  • [27] MicroRNAs as a Novel Class of Diagnostic Biomarkers in Detection of Oral Carcinoma: a Meta-Analysis Study
    Lin, Ni
    Lin, Yazhen
    Fu, Xiaodan
    Wu, Chuncai
    Xu, Jianping
    Cui, Zhaolei
    Lin, Donghong
    CLINICAL LABORATORY, 2016, 62 (03) : 451 - 461
  • [28] Identification of microRNAs as novel biomarkers for glioma detection: A meta-analysis based on 11 articles
    Qu, Shengtao
    Guan, Junhong
    Liu, Yunhui
    JOURNAL OF THE NEUROLOGICAL SCIENCES, 2015, 348 (1-2) : 181 - 187
  • [29] ESD VS ESTD FOR SUPERFICIAL ESOPHAGEAL SQUAMOUS CELL CARCINOMA: A META-ANALYSIS
    Barakat, Mohamed
    Hamed, Ahmed
    Reddy, Madhavi
    Gurram, Krishna C.
    GASTROINTESTINAL ENDOSCOPY, 2019, 89 (06) : AB455 - AB455
  • [30] Prognostic value of osteopontin expression in esophageal squamous cell carcinoma: A meta-analysis
    Wang, Yan
    Lu, Yuqing
    Xu, Wenying
    Wang, Yanwen
    Wu, Yanming
    Che, Guowei
    PATHOLOGY RESEARCH AND PRACTICE, 2019, 215 (10)