Sayad, S. and Ahmadi, S.A.Y. and Moradi, M. and Nekouian, R. and Anbari, K. and 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). pp. 109-114.
Full text not available from this repository.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.
| Item Type: | Article |
|---|---|
| Additional Information: | cited By 0 |
| Uncontrolled Keywords: | HLA G antigen, Article; breast cancer; cancer diagnosis; diagnostic accuracy; diagnostic test accuracy study; human; meta analysis; protein blood level; sensitivity and specificity; serodiagnosis; systematic review |
| Subjects: | WP Gynecology QZ Pathology |
| Depositing User: | eprints admin |
| Date Deposited: | 08 Sep 2020 08:21 |
| Last Modified: | 08 Sep 2020 08:21 |
| URI: | http://eprints.iums.ac.ir/id/eprint/23892 |
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