Does meta-analytical biomarker search of EST expression data reveal three differentially expressed candidates?
Searching digitized transcriptome using CMH enabled us to identify multi-cancer differentially expressed gene candidates. Our methodology demonstrated simultaneously analysis for cancer biomarkers of multiple tissue types with the EST data. With the revived interest in digitizing the transcriptomes by NGS, cancer biomarkers could be more precisely detected from the ESTs. The three candidates identified in this study, COL3A1, DLG3, and RNF43, are valuable targets for further evaluation with a larger sample size of normal and cancer tissue or serum samples.
The incidence of PAH is likely underreported. Further investigation is necessary to elucidate its mechanism of action. By understanding the pathogenesis, this rare adverse effect may be avoided, or even utilized as a therapeutic alternative for the treatment of congenital or acquired lipodystrophy.