The Association of Melanoma-Associated Antigen-C Gene With Clinicopathological Characteristics and Prognosis in Breast Cancer: A Systematic Review and Meta-Analysis.

Published
October 24, 2023
Journal
Clinical breast cancer
PICOID
3c3124a2
DOI
Citations
1
Keywords
Breast cancer, Clinicopathological features, MAGE-C, Meta-analysis, Prognosis
Copyright
Copyright © 2023 Elsevier Inc. All rights reserved.
Patients/Population/Participants

breast cancer

Intervention

MAGE-C gene expression

Comparison

tumor grade, lymph node metastasis, tumor type, tumor stage, ER expression, HER-2 expression, tumor embolus

Outcome

overall survival, recurrence-free survival, metastasis-free survival

Abstract

P
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To investigate the correlation of melanoma-associated antigen-C gene expression with clinicopathologic characteristics and prognosis in patients with breast cancer through a meta-analysis. PubMed, Embase, Web of Science, Cochrane, CNKI, Wanfang and VIP databases were searched from the establishment of the databases to December 2022. The New castle-Ottawa Scale (NOS) was used for literature quality evaluation, and meta-analysis of all studies was performed using Rev Man 5.3 and Stata14.0. A total of 11 studies and 1146 samples were included in the meta-analysis. High expression of MAGE-C gene was significantly correlated with tumor grade (OR = 8.06, 95%CI:4.14-15.67, P < .00001), lymph node metastasis (OR = 8.06, 95%CI:4.14-15.67, P < .00001), tumor type (OR = 0.36, 95%CI: 0.23-0.49, P < .00001), tumor stage (OR = 0.14, 95%CI: 0.05-0.38, P = .0001<.05), ER expression (OR = 0.14, 95%CI: 0.05-0.38, P = .0001<.05), HER-2 expression (OR = 0.24, 95%CI:0.11-0.57, P = .001<.05) and tumor embolus (OR = 0.24, 95%CI:0.11-0.57, P = .001<.05). In addition, the MAGE-C expression was correlated with the reduced overall survival (HR = 2.13, 95%CI: 1.52-2.99, P < .0001), recurrence-free survival (HR = 2.59, 95%CI:1.47-4.56, P = .0010) and metastasis-free survival (OR = 2.52, 95%CI: 1.38-4.59, P = .003). The high expression of MAGE-C gene is closely related to some clinicopathological parameters and poor prognosis of breast cancer, which may be used as a potential biomarker to determine the prognosis of breast cancer.

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