Abstract

Doc number: 25

Abstract

Background: Cancer-testis (CT) antigen genes might promote the progression of multiple myeloma (MM). CT antigens may act as diagnostic and prognostic markers in MM, but their expression levels and clinical implications in this disease are not fully understood. This study measured the expression levels of four CT antigen genes in Chinese patients with MM and explored their clinical implications.

Methods: Real-time quantitative polymerase chain reaction (qPCR) was used to quantify the expression of MAGE-C1/CT7, MAGE-A3, MAGE-C2/CT10 and SSX-2 mRNA in 256 bone marrow samples from 144 MM patients.

Results: In the newly diagnosed patients, the positive expression rates were 88.5% for MAGE-C1/CT7, 82.1% for MAGE-C2/CT10, 76.9% for MAGE-A3 and 25.6% for SSX-2. The expression levels and the number of co-expressed CT antigens correlated significantly with several clinical indicators, including the percentage of plasma cells infiltrating the bone marrow, abnormal chromosome karyotypes and the clinical course.

Conclusion: MAGE-C1/CT7, MAGE-A3, MAGE-C2/CT10 and SSX-2 expression levels provide potentially effective clinical indicators for the auxiliary diagnosis and monitoring of treatment efficacy in MM.

Details

Title
The clinical value of the quantitative detection of four cancer-testis antigen genes in multiple myeloma
Author
Zhang, Yao; Bao, Li; Lu, Jin; Liu, Kai-Yan; Li, Jin-Lan; Qin, Ya-Zhen; Chen, Huan; Li, Ling-Di; Kong, Yuan; Shi, Hong-Xia; Lai, Yue-Yun; Liu, Yan-Rong; Jiang, Bin; Chen, Shan-Shan; Huang, Xiao-Jun; Ruan, Guo-Rui
Pages
25
Publication year
2014
Publication date
2014
Publisher
BioMed Central
e-ISSN
14764598
Source type
Scholarly Journal
Language of publication
English
DOI
https://doi.org/10.1186/1476-4598-13-25
ProQuest document ID
1497963375
Copyright
© 2014 Zhang et al.; licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.