A Meta-Analysis on Diagnostic Accuracy of Serum Hla-G Level in Breast Cancer

A Meta-Analysis on Diagnostic Accuracy of Serum Hla-G Level in Breast Cancer Publisher

Sayad S¹ ; Ahmadi SAY^{2, 3} ; Moradi M¹ ; Nekouian R³ ; Anbari K⁴ ; Shahsavar F⁵

Show Affiliations

1. Department of Breast Surgery, Firoozgar Clinical Research Development Center (FCRDC), Iran University of Medical Sciences, Tehran, Iran
2. Student Research Committee, Iran University of Medical Sciences, Tehran, Iran
3. Pediatric Growth and Development Research Center, Institute of Endocrinology and Metabolism, Iran University of Medical Sciences, Tehran, Iran
4. Social Determinants of Health Research Center, Lorestan University of Medical Sciences, Khorramabad, Iran
5. Department of Immunology, Lorestan University of Medical Sciences, Khorramabad, Iran

Source: Expert Review of Precision Medicine and Drug Development Published:2020

Abstract

Background: According to the role of human leukocyte antigen (HLA)-G in tumor progression and tumor escape from immune system as well as diagnostic role of biomarkers in breast cancer, this meta-analysis is designed to reach a pooled diagnostic accuracy for this biomarker. Methods: The present work is a meta-analysis on diagnostic accuracy studies using preferred reporting items for systematic reviews and meta-analyses guideline. All documents studying the serum level of HLA-G both in breast cancer patients and in healthy controls using receiver operating characteristics (ROC) curve with reporting area under ROC curve (AUC) were eligible for inclusion. Results: Five articles including 754 participants were eligible for quantitative synthesis. The range of AUC of the selected studies was 0.735–0.953. The pooled AUC was 0.922 (95% confidence interval [CI] 0.903–0.941) based on fixed effect model (P < 0.001) and 0.896 (95% CI 0.834–0.959) based on random effect model (P < 0.001). Conclusion: This meta-analysis updated the level of evidence for using serum HLA-G in diagnosis of breast cancer. However, this piece of evidence cannot be used as a diagnostic tool. This biomarker can be used for investigation of recurrence and response to treatment in future. Further studies are suggested to complete this evidence gap. © 2020, © 2020 Informa UK Limited, trading as Taylor & Francis Group.

2. Association of Hla-G*01:01:02:01/G*01:04:01 Polymorphism With Gastric Adenocarcinoma, Human Immunology (2016)

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Reza Malekzadeh (1)

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Style	Citing Format
MLA	Sayad S, et al.. "A Meta-Analysis on Diagnostic Accuracy of Serum Hla-G Level in Breast Cancer." Expert Review of Precision Medicine and Drug Development, vol. 5, no. 2, 2020, pp. 109-114.
APA	Sayad S, Ahmadi SAY, Moradi M, Nekouian R, Anbari K, Shahsavar F (2020). A Meta-Analysis on Diagnostic Accuracy of Serum Hla-G Level in Breast Cancer. Expert Review of Precision Medicine and Drug Development, 5(2), 109-114.
Chicago	Sayad S, Ahmadi SAY, Moradi M, Nekouian R, Anbari K, Shahsavar F. "A Meta-Analysis on Diagnostic Accuracy of Serum Hla-G Level in Breast Cancer." Expert Review of Precision Medicine and Drug Development 5, no. 2 (2020): 109-114.
Harvard	Sayad S et al. (2020) 'A Meta-Analysis on Diagnostic Accuracy of Serum Hla-G Level in Breast Cancer', Expert Review of Precision Medicine and Drug Development, 5(2), pp. 109-114.
Vancouver	Sayad S, Ahmadi SAY, Moradi M, Nekouian R, Anbari K, Shahsavar F. A Meta-Analysis on Diagnostic Accuracy of Serum Hla-G Level in Breast Cancer. Expert Review of Precision Medicine and Drug Development. 2020;5(2):109-114.
BibTex	@article{ author = {Sayad S and Ahmadi SAY and Moradi M and Nekouian R and Anbari K and Shahsavar F}, title = {A Meta-Analysis on Diagnostic Accuracy of Serum Hla-G Level in Breast Cancer}, journal = {Expert Review of Precision Medicine and Drug Development}, volume = {5}, number = {2}, pages = {109-114}, year = {2020} }
RIS	TY - JOUR AU - Sayad S AU - Ahmadi SAY AU - Moradi M AU - Nekouian R AU - Anbari K AU - Shahsavar F TI - A Meta-Analysis on Diagnostic Accuracy of Serum Hla-G Level in Breast Cancer JO - Expert Review of Precision Medicine and Drug Development VL - 5 IS - 2 SP - 109 EP - 114 PY - 2020 ER -

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