Title
High throughput quantitative reverse transcription PCR assays revealing over-expression of cancer testis antigen genes in multiple myeloma stem cell-like side population cells
Abbreviated Journal Title
Br. J. Haematol.
Keywords
multiple myeloma; cancer testis antigen; side population; high; throughput; quantitative RT-PCR; IMMUNOTHERAPY; LYMPHOMA; Hematology
Abstract
Multiple myeloma (MM) stem cells, proposed to be responsible for the tumourigenesis, drug resistance and recurrence of this disease, are enriched in the cancer stem cell-like side population (SP). Cancer testis antigens (CTA) are attractive targets for immunotherapy because they are widely expressed in cancers but only in limited types of normal tissues. We designed a high throughput assay, which allowed simultaneous relative quantifying expression of 90 CTA genes associated with MM. In the three MM cell lines tested, six CTA genes were over-expressed in two and LUZP4 and ODF1 were universally up-regulated in all three cell lines. Subsequent study of primary bone marrow (BM) from eight MM patients and four healthy donors revealed that 19 CTA genes were up-regulated in SP of MM compared with mature plasma cells. In contrast, only two CTA genes showed a moderate increase in SP cells of healthy BM. Furthermore, knockdown using small interfering RNA (siRNA) revealed that LUZP4 expression is required for colony-forming ability and drug resistance in MM cells. Our findings indicate that multiple CTA have unique expression profiles in MM SP, suggesting that CTA may serve as targets for immunotherapy that it specific for MM stem cells and which may lead to the long-term cure of MM.
Journal Title
British Journal of Haematology
Volume
166
Issue/Number
5
Publication Date
1-1-2014
Document Type
Article
DOI Link
Language
English
First Page
711
Last Page
719
WOS Identifier
ISSN
0007-1048
Recommended Citation
"High throughput quantitative reverse transcription PCR assays revealing over-expression of cancer testis antigen genes in multiple myeloma stem cell-like side population cells" (2014). Faculty Bibliography 2010s. 6271.
https://stars.library.ucf.edu/facultybib2010/6271
Comments
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