Identifying a combined biomarker for bisphosphonate‐related osteonecrosis of the jaw

Background For this study, the aim was to identify combined biomarkers associated with bisphosphonate‐related osteonecrosis of the jaw (BRONJ). Materials and Methods Microarray data for GSE7116 were downloaded from the Gene Expression Omnibus database, which contains 26 samples, including without ON...

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Bibliographic Details
Published in:Clinical implant dentistry and related research 2018-04, Vol.20 (2), p.191-198
Main Authors: Kim, Ki‐Yeol, Zhang, Xianglan, Cha, In‐Ho
Format: Article
Language:English
Subjects:
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Biocompatibility
Biomarkers
Bisphosphonate-Associated Osteonecrosis of the Jaw - genetics
Bisphosphonates
bisphosphonate‐related osteonecrosis of the jaw
combined biomarker
Dentistry
DNA microarrays
Gene expression
Gene Expression Profiling
Gene Ontology
Genetic Markers
Genetic Predisposition to Disease
Genetic Testing
Humans
Jaw
Multiple myeloma
Oligonucleotide Array Sequence Analysis
Osteonecrosis
Principal components analysis
Statistics, Nonparametric
Transcriptome
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Summary:Background For this study, the aim was to identify combined biomarkers associated with bisphosphonate‐related osteonecrosis of the jaw (BRONJ). Materials and Methods Microarray data for GSE7116 were downloaded from the Gene Expression Omnibus database, which contains 26 samples, including without ONJ, and 5 healthy volunteers. The combined biomarkers were identified using principal component analysis, and the pathway enrichment analyses were performed using the DAVID online tool. Results Two hundred differently expressed genes between groups were detected according to the significances. From functional annotation, Y‐box binding protein 1 and heterogeneous nuclear ribonucleoprotein C were found to be included in the most significant 10 pathways. Ten combined gene sets were identified that were effective in classifying multiple myeloma (MM) with ONJ and MM without ONJ. Conclusion Identifying combined gene expression profiles is expected to contribute to more personalized management of BRONJ and to improve existing therapies, and it will be helpful in finding new therapies by identifying more predictive biomarkers.
ISSN:1523-0899
1708-8208
DOI:10.1111/cid.12569