Meta-analysis of diagnostic cell-free circulating microRNAs for breast cancer detection

被引:14
作者
Sehovic, Emir [1 ,2 ]
Urru, Sara [1 ,3 ]
Chiorino, Giovanna [1 ]
Doebler, Philipp [4 ]
机构
[1] Fdn Edo & Elvo Tempia, Canc Genom Lab, I-13900 Biella, Italy
[2] Univ Turin, Dept Life Sci & Syst Biol, I-10100 Turin, Italy
[3] Univ Padua, Unit Biostat Epidemiol & Publ Hlth, Dept Cardiac Thorac Vasc Sci & Publ Hlth, I-35121 Padua, Italy
[4] TU Dortmund Univ, Dept Stat, D-44227 Dortmund, Germany
关键词
Meta-analysis; Diagnostic; Circulating cell-free; miRNAs; Breast cancer; BIOMARKERS; IDENTIFICATION; EXPRESSION; ACCURACY; SIGNATURES; PROGNOSIS; HEMOLYSIS; MIR-21; IMPACT; TOOL;
D O I
10.1186/s12885-022-09698-8
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Background Breast cancer (BC) is the most frequently diagnosed cancer among women. Numerous studies explored cell-free circulating microRNAs as diagnostic biomarkers of BC. As inconsistent and rarely intersecting microRNA panels have been reported thus far, we aim to evaluate the overall diagnostic performance as well as the sources of heterogeneity between studies. Methods Based on the search of three online search engines performed up to March 21(st) 2022, 56 eligible publications that investigated diagnostic circulating microRNAs by utilizing Real-Time Quantitative Reverse Transcription PCR (qRT-PCR) were obtained. Primary studies' potential for bias was evaluated with the revised tool for the quality assessment of diagnostic accuracy studies (QUADAS-2). A bivariate generalized linear mixed-effects model was applied to obtain pooled sensitivity and specificity. A novel methodology was utilized in which the sample and study models' characteristics were analysed to determine the potential preference of studies for sensitivity or specificity. Results Pooled sensitivity and specificity of 0.85 [0.81-0.88] and 0.83 [0.79-0.87] were obtained, respectively. Subgroup analysis showed a significantly better performance of multiple (sensitivity: 0.90 [0.86-0.93]; specificity: 0.86 [0.80-0.90]) vs single (sensitivity: 0.82 [0.77-0.86], specificity: 0.83 [0.78-0.87]) microRNA panels and a comparable pooled diagnostic performance between studies using serum (sensitivity: 0.87 [0.81-0.91]; specificity: 0.83 [0.78-0.87]) and plasma (sensitivity: 0.83 [0.77-0.87]; specificity: 0.85 [0.78-0.91]) as specimen type. In addition, based on bivariate and univariate analyses, miRNA(s) based on endogenous normalizers tend to have a higher diagnostic performance than miRNA(s) based on exogenous ones. Moreover, a slight tendency of studies to prefer specificity over sensitivity was observed. Conclusions In this study the diagnostic ability of circulating microRNAs to diagnose BC was reaffirmed. Nonetheless, some subgroup analyses showed between-study heterogeneity. Finally, lack of standardization and of result reproducibility remain the biggest issues regarding the diagnostic application of circulating cell-free microRNAs.
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页数:23
相关论文
共 103 条
[61]   Cost-effectiveness and Benefit-to-Harm Ratio of Risk-Stratified Screening for Breast Cancer A Life-Table Model [J].
Pashayan, Nora ;
Morris, Steve ;
Gilbert, Fiona J. ;
Pharoah, Paul D. P. .
JAMA ONCOLOGY, 2018, 4 (11) :1504-1510
[62]   A Tetra-Panel of Serum Circulating miRNAs for the Diagnosis of the Four Most Prevalent Tumor Types [J].
Pastor-Navarro, Belen ;
Garcia-Flores, Maria ;
Fernandez-Serra, Antonio ;
Blanch-Tormo, Salvador ;
Martinez de Juan, Fernando ;
Martinez-Lapiedra, Carmen ;
Maia de Alcantara, Fernanda ;
Carlos Penalver, Juan ;
Cervera-Deval, Jose ;
Rubio-Briones, Jose ;
Garcia-Ruperez, Jaime ;
Antonio Lopez-Guerrero, Jose .
INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES, 2020, 21 (08)
[63]   Pivotal Evaluation of the Accuracy of a Biomarker Used for Classification or Prediction: Standards for Study Design [J].
Pepe, Margaret S. ;
Feng, Ziding ;
Janes, Holly ;
Bossuyt, Patrick M. ;
Potter, John D. .
JOURNAL OF THE NATIONAL CANCER INSTITUTE, 2008, 100 (20) :1432-1438
[64]   A methodological procedure for evaluating the impact of hemolysis on circulating microRNAs [J].
Pizzamiglio, Sara ;
Zanutto, Susanna ;
Ciniselli, Chiara M. ;
Belfiore, Antonino ;
Bottelli, Stefano ;
Gariboldi, Manuela ;
Verderio, Paolo .
ONCOLOGY LETTERS, 2017, 13 (01) :315-320
[65]  
Poisot T, 2011, R J, V3, P25
[66]   Autoantibodies as Potential Biomarkers in Breast Cancer [J].
Qiu, Jingyi ;
Keyser, Bailey ;
Lin, Zuan-Tao ;
Wu, Tianfu .
BIOSENSORS-BASEL, 2018, 8 (03)
[67]  
Raats M. M., 1992, Food Quality and Preference, V3, P89, DOI 10.1016/0950-3293(91)90028-D
[68]   The diagnostic power of circulating micro ribonucleic acid 34a in combination with cancer antigen 15-3 as a potential biomarker of breast cancer [J].
Raheem, Anmar R. ;
Abdul-Rasheed, Omar F. ;
Al-Naqqash, Manwar A. .
SAUDI MEDICAL JOURNAL, 2019, 40 (12) :1218-1226
[69]   Bivariate analysis of sensitivity and specificity produces informative summary measures in diagnostic reviews [J].
Reitsma, JB ;
Glas, AS ;
Rutjes, AWS ;
Scholten, RJPM ;
Bossuyt, PM ;
Zwinderman, AH .
JOURNAL OF CLINICAL EPIDEMIOLOGY, 2005, 58 (10) :982-990
[70]   A novel panel of blood-based microRNAs capable of discrimination between benign breast disease and breast cancer at early stages [J].
Sadeghi, Hanieh ;
Kamal, Aryan ;
Ahmadi, Marzieh ;
Najafi, Hadi ;
Zarchi, Ali Sharifi ;
Haddad, Peyman ;
Shayestehpour, Bahareh ;
Kamkar, Leila ;
Salamati, Masoumeh ;
Geranpayeh, Loabat ;
Lashkari, Marzieh ;
Totonchi, Mehdi .
RNA BIOLOGY, 2021, 18 :747-756