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Integrated Pathway Analysis of Microrna Expression in plasma of Ovarian Cancer (Ovca) Patients shows lack of Bh3 Protein Dependent Signaling

Authors :
Annette Lee
A Banavali
M Kopf
Iuliana Shapira
E Neculiseanu
C Mason
K Guddati
Ali Naboush
Source :
Journal of Investigative Medicine. 64:801-802
Publication Year :
2016
Publisher :
SAGE Publications, 2016.

Abstract

Purpose of Study More than 100,000 pelvic surgeries to remove ovarian masses (BOM) are performed yearly in the USA only 8% of those remove ovarian cancer. Circulating microRNA are biomarkers for disease detection. Purpose of study: 1. To analyze patterns of microRNAs in women with BOM vs. OvCa 2. Discover pathway involved malignant transformation. Methods Used Plasma from 32 women OvCa, 24 controls 32 (BOM) was analyzed using ABI Taqman OpenArray MicroRNA pools A and B to measure the expression of 754 known miRNAs .Real-time PCR was performed on the Taqman Open Array MicroRNA arrays using the Applied Biosystem Open Array Real-Time PCR system. Data were processed using the OpenArray Real-Time qPCR Analysis software and exported for analysis using the Applied Biosystems DataAssist Software Data analysis was done with the R programming language. A cutoff for Ct values at 30 was used. MiRNAs with Ct values higher than 30 were considered not detected. Data was normalized using a mean-centering restricted (MCR), a modification of the traditional delta Ct method and uses miRNAs which are expressed in all samples for data normalization. Statistical analysis was performed via custom scripts based on the R/Bioconductor package LIMMA (Linear Models for Microarray). Summary of Results BOM had higher expression (2–14 fold higher) of miRs −195, −126, −139-5p, −27b, −127, −152, −28, −106b, −17, −363, −181a, −192 relative to OvCa (p Conclusions BOM patients have immune recognition and pro-apoptotic protective circulating microRNAs. It is unknown whether miRs originate in ovary or another tissue. Recent work shows that BH3 mimetics are very effective in inducing cancer cell death.

Details

ISSN :
17088267 and 10815589
Volume :
64
Database :
OpenAIRE
Journal :
Journal of Investigative Medicine
Accession number :
edsair.doi...........9c5b56bb5fecefa2e73544505d602149