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Dive into the research topics where Darran P. O’Connor is active.

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Featured researches published by Darran P. O’Connor.


European Journal of Cancer | 2009

The transcription factor Sox11 is a prognostic factor for improved recurrence-free survival in epithelial ovarian cancer

Donal J. Brennan; Sara Ek; Emma Doyle; Thomas Drew; Michael Foley; Grainne Flannelly; Darran P. O’Connor; William M. Gallagher; Sami Kilpinen; Olli-Pekka Kallioniemi; Karin Jirström; Colm O’Herlihy; Carl Borrebaeck

BACKGROUND Current prognostic molecular markers for epithelial ovarian cancer (EOC) are insufficient. The aim of the current study was to investigate the role of Sox11 in EOC. METHODS Using an in silico transcriptomic screen, Sox11 was identified as a potential EOC biomarker. Sox11 protein expression was evaluated using immunohistochemistry (IHC) in 76 EOC cases, which were analysed using automated algorithms to develop a quantitative scoring model. RESULTS Sox11 mRNA expression was upregulated in EOC compared to normal tissues. Automated analysis of Sox11 in the EOC cohort revealed high expression of Sox11, in 40% of tumours, who had an improved recurrence-free survival (RFS) (p=0.002). Multivariate analysis confirmed that Sox11 was an independent predictor of improved RFS after controlling for stage and grade. CONCLUSIONS These data suggest that Sox11 is a new prognostic marker in EOC. Loss of Sox11 is associated with a decreased RFS and a more aggressive phenotype.


Scientific Reports | 2016

Integration of genomic, transcriptomic and proteomic data identifies two biologically distinct subtypes of invasive lobular breast cancer

Magali Michaut; Suet-Feung Chin; Ian Majewski; Tesa Severson; Tycho Bismeijer; Leanne De Koning; Justine Peeters; Philip C. Schouten; Oscar M. Rueda; Astrid Bosma; Finbarr Tarrant; Yue Fan; Beilei He; Zheng Xue; Lorenza Mittempergher; Roelof Jc Kluin; Jeroen Heijmans; Mireille Snel; Bernard Pereira; Andreas Schlicker; Elena Provenzano; Hamid Raza Ali; Alexander Gaber; Gillian O’Hurley; Sophie Lehn; Jettie J. Muris; Jelle Wesseling; Elaine Kay; Stephen John Sammut; Helen Bardwell

Invasive lobular carcinoma (ILC) is the second most frequently occurring histological breast cancer subtype after invasive ductal carcinoma (IDC), accounting for around 10% of all breast cancers. The molecular processes that drive the development of ILC are still largely unknown. We have performed a comprehensive genomic, transcriptomic and proteomic analysis of a large ILC patient cohort and present here an integrated molecular portrait of ILC. Mutations in CDH1 and in the PI3K pathway are the most frequent molecular alterations in ILC. We identified two main subtypes of ILCs: (i) an immune related subtype with mRNA up-regulation of PD-L1, PD-1 and CTLA-4 and greater sensitivity to DNA-damaging agents in representative cell line models; (ii) a hormone related subtype, associated with Epithelial to Mesenchymal Transition (EMT), and gain of chromosomes 1q and 8q and loss of chromosome 11q. Using the somatic mutation rate and eIF4B protein level, we identified three groups with different clinical outcomes, including a group with extremely good prognosis. We provide a comprehensive overview of the molecular alterations driving ILC and have explored links with therapy response. This molecular characterization may help to tailor treatment of ILC through the application of specific targeted, chemo- and/or immune-therapies.


Diagnostic Pathology | 2012

Molecular correlates and prognostic significance of SATB1 expression in colorectal cancer

Björn Nodin; Henrik Johannesson; Sakarias Wangefjord; Darran P. O’Connor; Kajsa Ericson Lindquist; Mathias Uhlén; Karin Jirström; Jakob Eberhard

BackgroundSpecial AT-rich sequence-binding protein 1 (SATB1) is a global gene regulator that has been reported to confer malignant behavior and associate with poor prognosis in several cancer forms. SATB1 expression has been demonstrated to correlate with unfavourable tumour characteristics in rectal cancer, but its association with clinical outcome in colorectal cancer (CRC) remains unclear. In this study, we examined the prognostic impact of SATB1 expression in CRC, and its association with important molecular characteristics; i.e. beta-catenin overexpression, microsatellite instability (MSI) screening status, and SATB2 expression.MethodsImmunohistochemical expression of SATB1 and beta-catenin was assessed in tissue microarrays with tumours from 529 incident CRC cases in the prospective population-based Malmö Diet and Cancer Study, previously analysed for SATB2 expression and MSI screening status. Spearmans Rho and Chi-Square tests were used to explore correlations between SATB1 expression, clinicopathological and investigative parameters. Kaplan Meier analysis and Cox proportional hazards modelling were used to explore the impact of SATB1 expression on cancer specific survival (CSS) and overall survival (OS).ResultsSATB1 was expressed in 222 (42%) CRC cases and negative, or sparsely expressed, in adjacent colorectal mucosa (n = 16). SATB1 expression was significantly associated with microsatellite stable tumours (p < 0.001), beta-catenin overexpression (p < 0.001) and SATB2 expression (p < 0.001). While not prognostic in the full cohort, SATB1 expression was significantly associated with poor prognosis in SATB2 negative tumours (HR = 2.63; 95% CI 1.46-4.71; pinteraction = 0.011 for CSS and HR = 2.31; 95% CI 1.32-4.04; pinteraction = 0.015 for OS), remaining significant in multivariable analysis.ConclusionsThe results of this study demonstrate that SATB1 expression in CRC is significantly associated with beta-catenin overexpression, microsatellite stability and SATB2 expression. Furthermore, SATB1 expression is a factor of poor prognosis in SATB2 negative tumours. Altogether, these data indicate an important role for SATB1 in colorectal carcinogenesis and suggest prognostically antagonistic effects of SATB1 and SATB2. The mechanistic basis for these observations warrants further study.Virtual slidesThe virtual slide(s) for this article can be found here: http://www.diagnosticpathology.diagnomx.eu/vs/1922643082772076


Breast Cancer Research | 2014

Peroxiredoxin-1 protects estrogen receptor α from oxidative stress-induced suppression and is a protein biomarker of favorable prognosis in breast cancer

Patrick O’Leary; Marta Terrile; Malgorzata Bajor; Pawel Gaj; Bryan T. Hennessy; Gordon B. Mills; Agnieszka Zagozdzon; Darran P. O’Connor; Donal J. Brennan; Kate Connor; Jane Li; Ana M. Gonzalez-Angulo; Han-Dong Sun; Jian-Xin Pu; Fredrik Pontén; Mathias Uhlén; Karin Jirström; Dominika Nowis; John Crown; Radoslaw Zagozdzon; William M. Gallagher

IntroductionPeroxiredoxin-1 (PRDX1) is a multifunctional protein, acting as a hydrogen peroxide (H2O2) scavenger, molecular chaperone and immune modulator. Although differential PRDX1 expression has been described in many tumors, the potential role of PRDX1 in breast cancer remains highly ambiguous. Using a comprehensive antibody-based proteomics approach, we interrogated PRDX1 protein as a putative biomarker in estrogen receptor (ER)-positive breast cancer.MethodsAn anti-PRDX1 antibody was validated in breast cancer cell lines using immunoblotting, immunohistochemistry and reverse phase protein array (RPPA) technology. PRDX1 protein expression was evaluated in two independent breast cancer cohorts, represented on a screening RPPA (n = 712) and a validation tissue microarray (n = 498). In vitro assays were performed exploring the functional contribution of PRDX1, with oxidative stress conditions mimicked via treatment with H2O2, peroxynitrite, or adenanthin, a PRDX1/2 inhibitor.ResultsIn ER-positive cases, high PRDX1 protein expression is a biomarker of improved prognosis across both cohorts. In the validation cohort, high PRDX1 expression was an independent predictor of improved relapse-free survival (hazard ratio (HR) = 0.62, 95% confidence interval (CI) = 0.40 to 0.96, P = 0.032), breast cancer-specific survival (HR = 0.44, 95% CI = 0.24 to 0.79, P = 0.006) and overall survival (HR = 0.61, 95% CI = 0.44 to 0.85, P = 0.004). RPPA screening of cancer signaling proteins showed that ERα protein was upregulated in PRDX1 high tumors. Exogenous H2O2 treatment decreased ERα protein levels in ER-positive cells. PRDX1 knockdown further sensitized cells to H2O2- and peroxynitrite-mediated effects, whilst PRDX1 overexpression protected against this response. Inhibition of PRDX1/2 antioxidant activity with adenanthin dramatically reduced ERα levels in breast cancer cells.ConclusionsPRDX1 is shown to be an independent predictor of improved outcomes in ER-positive breast cancer. Through its antioxidant function, PRDX1 may prevent oxidative stress-mediated ERα loss, thereby potentially contributing to maintenance of an ER-positive phenotype in mammary tumors. These results for the first time imply a close connection between biological activity of PRDX1 and regulation of estrogen-mediated signaling in breast cancer.


Expert Review of Molecular Diagnostics | 2014

microRNAs: a new class of breast cancer biomarkers

Laoighse Mulrane; Rut Klinger; Sharon F. McGee; William M. Gallagher; Darran P. O’Connor

MicroRNAs (miRNAs) are regulatory molecules known to be aberrantly expressed in cancer and contribute to numerous aspects of tumor biology including the initiation, growth and spread of the tumor. With such diverse roles, it is becoming apparent that some may also provide valuable information which may be of use in a clinical setting, demonstrating the potential to act as both screening tools for the stratification of high-risk patients, while informing the treatment decision-making process. There is mounting evidence to suggest that some miRNAs may even provide assistance in the diagnosis of patients with breast cancer. In addition, miRNAs may themselves be considered therapeutic targets, with inhibition or reintroduction of a particular miRNA capable of inducing a response in vivo. This review focuses on miRNAs that have prognostic, diagnostic or predictive potential in breast cancer as well as the possible challenges in the translation of such observations to the clinic.


Critical Reviews in Oncology Hematology | 2016

Biosimilars: Extrapolation for oncology

Giuseppe Curigliano; Darran P. O’Connor; Julie A. Rosenberg; Ira Jacobs

A biosimilar is a biologic that is highly similar to a licensed biologic (the reference product) in terms of purity, safety and efficacy. If the reference product is licensed to treat multiple therapeutic indications, extrapolation of indications, i.e., approval of a biosimilar for use in an indication held by the reference product but not directly studied in a comparative clinical trial with the biosimilar, may be possible but has to be scientifically justified. Here, we describe the data required to establish biosimilarity and emphasize that indication extrapolation is based on scientific principles and known mechanism of action.


Expert Opinion on Biological Therapy | 2007

Breast cancer proteomics: clinical perspectives

Thomas Y. K. Lau; Darran P. O’Connor; Donal J. Brennan; Michael J. Duffy; Stephen R. Pennington; William M. Gallagher

Breast cancer is the one of leading causes of cancer-related deaths in women within economically developed regions of the world. A major focus of present research into this malignancy is the identification of new biomarkers and drug targets to improve detection and treatment. Proteomics represents one of the latest technological developments in this context. It aims to analyse the complex circuitry of the breast cancer proteome. Here, the authors review how breast cancer proteomics has progressed so far, with emphasis on its potential application to clinically relevant scenarios.


Oncotarget | 2017

Apelin: A putative novel predictive biomarker for bevacizumab response in colorectal cancer

Linda Zuurbier; Arman Rahman; Martijn Cordes; Jennifer Scheick; Tse J. Wong; François Rustenburg; Jesu Christopher Joseph; Peter Dynoodt; Rory Casey; Paul Drillenburg; Michael Gerhards; Ana Barat; Rut Klinger; Bozena Fender; Darran P. O’Connor; Johannes Betge; Matthias Ebert; Timo Gaiser; Jochen H. M. Prehn; Arjan W. Griffioen; Nicole C.T. van Grieken; Bauke Ylstra; Annette T. Byrne; Laurens G. van der Flier; William M. Gallagher; Ruben Postel

Bevacizumab (bvz) is currently employed as an anti-angiogenic therapy across several cancer indications. Bvz response heterogeneity has been well documented, with only 10-15% of colorectal cancer (CRC) patients benefitting in general. For other patients, clinical efficacy is limited and side effects are significant. This reinforces the need for a robust predictive biomarker of response. To identify such a biomarker, we performed a DNA microarray-based transcriptional profiling screen with primary endothelial cells (ECs) isolated from normal and tumour colon tissues. Thirteen separate populations of tumour-associated ECs and 10 of normal ECs were isolated using fluorescence-activated cell sorting. We hypothesised that VEGF-induced genes were overexpressed in tumour ECs; these genes could relate to bvz response and serve as potential predictive biomarkers. Transcriptional profiling revealed a total of 2,610 differentially expressed genes when tumour and normal ECs were compared. To explore their relation to bvz response, the mRNA expression levels of top-ranked genes were examined using quantitative PCR in 30 independent tumour tissues from CRC patients that received bvz in the adjuvant setting. These analyses revealed that the expression of MMP12 and APLN mRNA was significantly higher in bvz non-responders compared to responders. At the protein level, high APLN expression was correlated with poor progression-free survival in bvz-treated patients. Thus, high APLN expression may represent a novel predictive biomarker for bvz unresponsiveness.


Cancer Cell International | 2014

Dynamic and influential interaction of cancer cells with normal epithelial cells in 3D culture

Laura P Ivers; Brendan K. Cummings; Funke Owolabi; Katarzyna Welzel; Rut Klinger; Sayaka Saitoh; Darran P. O’Connor; Yasuyuki Fujita; Dimitri Scholz; Nobue Itasaki

BackgroundThe cancer microenvironment has a strong impact on the growth and dynamics of cancer cells. Conventional 2D culture systems, however, do not reflect in vivo conditions, impeding detailed studies of cancer cell dynamics. This work aims to establish a method to reveal the interaction of cancer and normal epithelial cells using 3D time-lapse.MethodsGFP-labelled breast cancer cells, MDA-MB-231, were co-cultured with mCherry-labelled non-cancerous epithelial cells, MDCK, in a gel matrix. In the 3D culture, the epithelial cells establish a spherical morphology (epithelial sphere) thus providing cancer cells with accessibility to the basal surface of epithelia, similar to the in vivo condition. Cell movement was monitored using time-lapse analyses. Ultrastructural, immunocytochemical and protein expression analyses were also performed following the time-lapse study.ResultsIn contrast to the 2D culture system, whereby most MDA-MB-231 cells exhibit spindle-shaped morphology as single cells, in the 3D culture the MDA-MB-231 cells were found to be single cells or else formed aggregates, both of which were motile. The single MDA-MB-231 cells exhibited both round and spindle shapes, with dynamic changes from one shape to the other, visible within a matter of hours. When co-cultured with epithelial cells, the MDA-MB-231 cells displayed a strong attraction to the epithelial spheres, and proceeded to surround and engulf the epithelial cell mass. The surrounded epithelial cells were eventually destroyed, becoming debris, and were taken into the MDA-MB-231 cells. However, when there was a relatively large population of normal epithelial cells, the MDA-MB-231 cells did not engulf the epithelial spheres effectively, despite repeated contacts. MDA-MB-231 cells co-cultured with a large number of normal epithelial cells showed reduced expression of monocarboxylate transporter-1, suggesting a change in the cell metabolism. A decreased level of gelatin-digesting ability as well as reduced production of matrix metaroproteinase-2 was also observed.ConclusionsThis culture method is a powerful technique to investigate cancer cell dynamics and cellular changes in response to the microenvironment. The method can be useful for various aspects such as; different combinations of cancer and non-cancer cell types, addressing the organ-specific affinity of cancer cells to host cells, and monitoring the cellular response to anti-cancer drugs.


Breast Cancer Research | 2014

A novel mechanism of regulation of the anti-metastatic miR-31 by EMSY in breast cancer

Laoighse Mulrane; William M. Gallagher; Darran P. O’Connor

AbstractmiR-31 is well known as an anti-metastatic microRNA (miRNA) in the context of breast cancer. However, to date the mechanism of regulation of this miRNA has yet to be elucidated. The recent publication by Viré et al. in Molecular Cell [1] demonstrates for the first time that one mechanism of regulation of miR-31 is through the putative oncogene EMSY, whose amplification in breast cancer patients correlates with reduced expression of the miRNA. This regulation is dependent on the DNA-binding transcription factor ETS-1 which recruits EMSY and the histone demethylase KDM5B to the miR-31 promoter, thus repressing its transcription.

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Sudipto Das

University College Dublin

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Rut Klinger

Royal College of Surgeons in Ireland

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Bruce Moran

University College Dublin

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Elaine Kay

Royal College of Surgeons in Ireland

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Annette T. Byrne

Royal College of Surgeons in Ireland

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Bozena Fender

University College Dublin

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