@article {16584,
	title = {Validation of a real-time quantitative polymerase chain reaction method for the quantification of 3 survivin transcripts and evaluation in breast cancer tissues},
	journal = {Clin.Breast Cancer},
	volume = {14},
	year = {2014},
	note = {DA - 20140318
IS - 1938-0666 (Electronic)
IS - 1526-8209 (Linking)
LA - eng
PT - Journal Article
PT - Validation Studies
RN - 0 (BIRC5 protein, human)
RN - 0 (Inhibitor of Apoptosis Proteins)
RN - 0 (Protein Isoforms)
SB - IM},
	month = {2014/04//},
	pages = {122 - 131},
	abstract = {BACKGROUND: Survivin is a novel antiapoptotic gene, which is a member of the inhibitor of apoptosis protein (IAP) family. Recently, 3 splice variants of this gene were cloned and characterized. This study aimed to validate a sensitive and specific method for the detection of survivin variants in breast cancer. METHODS: Real-time quantitative polymerase chain reaction (qPCR) was performed on the cDNA with a reverse primer specific for each splice variant and a pair of common hybridization probes. RESULTS: The expression of wild-type survivin was significantly correlated with survivin-2b, survivin-DeltaEx3, and the ratio of survivin-DeltaEx3 to wild-type survivin (P < .001). The ratio of survivin-2b to wild-type survivin was strongly associated with the ratio of survivin-DeltaEx3 to wild-type survivin (P < .001). There was a strong positive association between the grade of the tumor and survivin-2b mRNA, survivin-DeltaEx3 mRNA, and the ratio of survivin-DeltaEx3 to wild-type survivin mRNA (P < .05). The ratio of survivin-2b to wild-type survivin was significantly associated with the presence of estrogen receptors (P = .05). CONCLUSION: Our validated data suggest that survivin isoforms may be related to clinicopathological features and could be used as molecular prognostic tools or as new therapy targets},
	keywords = {Breast Neoplasms, Female, Gene Expression Regulation,Neoplastic, genetics, Humans, Inhibitor of Apoptosis Proteins, Neoplasm Grading, Neoplasm Invasiveness, pathology, Prognosis, Protein Isoforms, RNA Splicing, Survival Rate},
	url = {PM:24325949},
	author = {Pavlidou, A. and Kroupis, C. and Goutas, N. and Dalamaga, M and Dimas, K.}
}
