Network


Latest external collaboration on country level. Dive into details by clicking on the dots.

Hotspot


Dive into the research topics where Ailbhe M. McDermott is active.

Publication


Featured researches published by Ailbhe M. McDermott.


PLOS ONE | 2014

Identification and Validation of Oncologic miRNA Biomarkers for Luminal A-like Breast Cancer

Ailbhe M. McDermott; Nicola Miller; Deirdre Wall; Lorcan M. Martyn; Graham Ball; Karl J. Sweeney; Michael J. Kerin

Introduction Breast cancer is a common disease with distinct tumor subtypes phenotypically characterized by ER and HER2/neu receptor status. MiRNAs play regulatory roles in tumor initiation and progression, and altered miRNA expression has been demonstrated in a variety of cancer states presenting the potential for exploitation as cancer biomarkers. Blood provides an excellent medium for biomarker discovery. This study investigated systemic miRNAs differentially expressed in Luminal A-like (ER+PR+HER2/neu-) breast cancer and their effectiveness as oncologic biomarkers in the clinical setting. Methods Blood samples were prospectively collected from patients with Luminal A-like breast cancer (n = 54) and controls (n = 56). RNA was extracted, reverse transcribed and subjected to microarray analysis (n = 10 Luminal A-like; n = 10 Control). Differentially expressed miRNAs were identified by artificial neural network (ANN) data-mining algorithms. Expression of specific miRNAs was validated by RQ-PCR (n = 44 Luminal A; n = 46 Control) and potential relationships between circulating miRNA levels and clinicopathological features of breast cancer were investigated. Results Microarray analysis identified 76 differentially expressed miRNAs. ANN revealed 10 miRNAs for further analysis (miR-19b, miR-29a, miR-93, miR-181a, miR-182, miR-223, miR-301a, miR-423-5p, miR-486-5 and miR-652). The biomarker potential of 4 miRNAs (miR-29a, miR-181a, miR-223 and miR-652) was confirmed by RQ-PCR, with significantly reduced expression in blood of women with Luminal A-like breast tumors compared to healthy controls (p = 0.001, 0.004, 0.009 and 0.004 respectively). Binary logistic regression confirmed that combination of 3 of these miRNAs (miR-29a, miR-181a and miR-652) could reliably differentiate between cancers and controls with an AUC of 0.80. Conclusion This study provides insight into the underlying molecular portrait of Luminal A-like breast cancer subtype. From an initial 76 miRNAs, 4 were validated with altered expression in the blood of women with Luminal A-like breast cancer. The expression profiles of these 3 miRNAs, in combination with mammography, has potential to facilitate accurate subtype-specific breast tumor detection.


PLOS ONE | 2013

Identification and validation of miRNAs as endogenous controls for RQ-PCR in blood specimens for breast cancer studies.

Ailbhe M. McDermott; Michael J. Kerin; Nicola Miller

Introduction A prerequisite to accurate interpretation of RQ-PCR data is robust data normalization. A commonly used method is to compare the cycle threshold (CT) of target miRNAs with those of a stably expressed endogenous (EC) miRNA(s) from the same sample. Despite the large number of studies reporting miRNA expression patterns, comparatively few appropriate ECs have been reported thus far. The purpose of this study was to identify stably expressed miRNAs with which to normalize RQ-PCR data derived from human blood specimens. Methods MiRNA profiling of approximately 380 miRNAs was performed on RNA derived from blood specimens from 10 women with breast cancer and 10 matched controls. Analysis of mean expression values across the dataset (GME) identified stably expressed candidates. Additional candidates were selected from the literature and analyzed by the geNorm algorithm. Further validation of three candidate ECs by RQ-PCR was performed in a larger cohort (n = 40 cancer, n = 20 control) was performed, including analysis by geNorm and NormFinder algorithms. Results Microarray screening identified 10 candidate ECs with expression patterns closest to the global mean. Geometric averaging of candidate ECs from the literature using geNorm identified miR-425 as the most stably expressed miRNA. MiR-425 and miR-16 were the best combination, achieving the lowest V-value of 0.185. Further validation by RQ-PCR confirmed that miR-16 and miR-425 were the most stably expressed ECs overall. Their combined use to normalize expression data enabled the detection of altered target miRNA expression that reliably differentiated between cancers and controls in human blood specimens. Conclusion This study identified that the combined use of 2 miRNAs, (miR-16 and miR-425) to normalize RQ-PCR data generated more reliable results than using either miRNA alone, or use of U6. Further investigation into suitable ECs for use in miRNA RQ-PCR studies is warranted.


Pharmaceutical Research | 2011

The Therapeutic Potential of MicroRNAs: Disease Modulators and Drug Targets

Ailbhe M. McDermott; Helen M. Heneghan; Nicola Miller; Michael J. Kerin

ABSTRACTMiRNAs are a class of small, naturally occurring RNA molecules that play critical roles in modulating numerous biological pathways by regulating gene expression. The knowledge that miRNA expression is dysregulated in many pathological disease processes, including cancer, has led to a rapidly expanding body of literature as we try to unveil their mechanism of action. Their putative role as oncogenes or tumour suppressor genes presents a wonderful opportunity to provide targeted cancer treatment strategies. Additionally, their documented function in a host of benign diseases broadens the potential market for miRNA-based therapeutics. The present review outlines the underlying rationales for considering mi(cro)RNAs as therapeutic agents or targets. We highlight the potential of manipulating miRNAs for the treatment of many common diseases, particularly cancers. Finally, we summarize the challenges that need to be overcome to fully harness the potential of miRNA-based therapies so they become the next generation of pharmaceutical products.


PLOS ONE | 2012

Relationship between Circulating and Tissue microRNAs in a Murine Model of Breast Cancer

Peadar S. Waters; Ailbhe M. McDermott; Deirdre Wall; Helen M. Heneghan; Nicola Miller; John Newell; Michael J. Kerin; Roisin M. Dwyer

MiRNAs are key regulators of tumorigenesis that are aberrantly expressed in the circulation and tissue of patients with cancer. The aim of this study was to determine whether miRNA dysregulation in the circulation reflected similar changes in tumour tissue. Athymic nude mice (n = 20) received either a mammary fat pad (n = 8, MFP), or subcutaneous (n = 7, SC) injection of MDA-MB-231 cells. Controls received no tumour cells (n = 5). Tumour volume was monitored weekly and blood sampling performed at weeks 1, 3 and 6 following tumour induction (total n = 60). Animals were sacrificed at week 6 and tumour tissue (n = 15), lungs (n = 20) and enlarged lymph nodes (n = 3) harvested. MicroRNAs were extracted from all samples (n = 98) and relative expression quantified using RQ-PCR. MiR-221 expression was significantly increased in tumour compared to healthy tissue (p<0.001). MiR-10b expression was significantly higher in MFP compared to SC tumours (p<0.05), with the highest levels detected in diseased lymph nodes (p<0.05). MiR-10b was undetectable in the circulation, with no significant change in circulating miR-221 expression detected during disease progression. MiR-195 and miR-497 were significantly decreased in tumour tissue (p<0.05), and also in the circulation of animals 3 weeks following tumour induction (p<0.05). At both tissue and circulating level, a positive correlation was observed between miR-497 and miR-195 (r = 0.61, p<0.001; r = 0.41, p<0.01 respectively). This study highlights the distinct roles of miRNAs in circulation and tissue. It also implicates miRNAs in disease dissemination and progression, which may be important in systemic therapy and biomarker development.


Histopathology | 2013

Nipple-sparing mastectomy: can preoperative biopsy findings predict retroareolar margin involvement?

Emer Caffrey; Ailbhe M. McDermott; Joseph Walsh; Rachel Ennis; Michael J. Kerin; Caroline Brodie

tumours, we included a series of soft tissue neoplasms, some of which rarely arise in bone. Tissue microarrays, prepared at our institution, included 120 high-grade osteosarcomas, 220 chondrosarcomas, 45 chordomas, 19 chondromyxoid fibromas, 22 chondroblastomas, 52 osteoblastomas, 60 myxofibrosarcomas, 54 solitary fibrous tumours, 59 leiomyosarcomas, 90 synovial sarcomas and 123 desmoid fibromatoses. Also included were whole tissue sections of eight ossifying fibromyxoid tumours, seven desmoplastic fibromas, 10 low-grade central osteosarcomas, 10 spindle cell sarcomas NOS of bone, 10 osteofibrous dysplasia/adamantinomas, five phosphaturic mesenchymal tumours and nine FUSrearrangement-negative SEF of soft tissue. Ten conventional FUS-rearrangement-positive LFS were included as positive controls. Standard immunohistochemistry was performed. All LFS were strongly and diffusely immunoreactive for MUC4. Four of nine (44.4%) SEF were diffusely positive for MUC4, whereas 22 of 90 (24.4%) synovial sarcomas showed focal immunoreactivity. All the remaining tumours tested were negative. Our findings demonstrate that primary bone tumours rarely express MUC4. We also confirm that MUC4 is rarely expressed diffusely in soft tissue spindle cell tumours, and that it is only seen focally in approximately 25% of synovial sarcoma. Hence, on the basis of the two diffusely immunoreactive MUC4 primary bone tumours which were identified, one with morphological features of LFS and the other of SEF, we consider that these represent rare examples of LFS and SEF arising in bone. We therefore recommend that MUC4 expression be studied in all fibromyxoid and sclerosing tumours of bone, in order to improve diagnostic accuracy when dealing with primary bone tumours.


Annals of Surgery | 2013

Surgeon and breast unit volume-outcome relationships in breast cancer surgery and treatment.

Ailbhe M. McDermott; Deirdre Wall; Peadar S. Waters; Cheung S; Sibbering M; Horgan K; Kearins O; Lawrence G; Patnick J; Michael J. Kerin


World Journal of Surgery | 2015

Aerosolized Intraperitoneal Local Anesthetic for Laparoscopic Surgery: A Randomized, Double-Blinded, Placebo-Controlled Trial

Ailbhe M. McDermott; Kah Hoong Chang; Kelly Mieske; Peter McAnena; Brian Kinirons; Abdelaly Abeidi; B. H. Harte; Michael J. Kerin; Oliver J. McAnena


Archive | 2015

A mirna oncologic biomarker of breast cancer

Michael J. Kerin; Nicola Miller; Ailbhe M. McDermott


Archive | 2012

miR-181a and miR652 as oncologic biomarker of breast cancer

Michael J. Kerin; Nicola Miller; Ailbhe M. McDermott


/data/revues/09528180/unassign/S0952818013003796/ | 2014

Total systemic ropivacaine concentrations following aerosolized intraperitoneal delivery using the AeroSurge

Ailbhe M. McDermott; Kah Hoong Chang; Kelly Mieske; Abdelaly Abeidi; B. H. Harte; Michael J. Kerin; Oliver J. McAnena

Collaboration


Dive into the Ailbhe M. McDermott's collaboration.

Top Co-Authors

Avatar

Michael J. Kerin

National University of Ireland

View shared research outputs
Top Co-Authors

Avatar

Nicola Miller

National University of Ireland

View shared research outputs
Top Co-Authors

Avatar

Deirdre Wall

National University of Ireland

View shared research outputs
Top Co-Authors

Avatar

Helen M. Heneghan

National University of Ireland

View shared research outputs
Top Co-Authors

Avatar

Peadar S. Waters

National University of Ireland

View shared research outputs
Top Co-Authors

Avatar

B. H. Harte

National University of Ireland

View shared research outputs
Top Co-Authors

Avatar

Kah Hoong Chang

National University of Ireland

View shared research outputs
Top Co-Authors

Avatar

Karl J. Sweeney

National University of Ireland

View shared research outputs
Top Co-Authors

Avatar

Kelly Mieske

National University of Ireland

View shared research outputs
Top Co-Authors

Avatar

Oliver J. McAnena

National University of Ireland

View shared research outputs
Researchain Logo
Decentralizing Knowledge