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Dive into the research topics where David A. Quigley is active.

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Featured researches published by David A. Quigley.


Nature | 2009

Genetic architecture of mouse skin inflammation and tumour susceptibility

David A. Quigley; Minh D. To; Jesus Perez-Losada; Facundo G. Pelorosso; Jian-Hua Mao; Hiroki Nagase; David Ginzinger; Allan Balmain

Germline polymorphisms in model organisms and humans influence susceptibility to complex trait diseases such as inflammation and cancer. Mice of the Mus spretus species are resistant to tumour development, and crosses between M. spretus and susceptible Mus musculus strains have been used to map locations of genetic variants that contribute to skin cancer susceptibility. We have integrated germline polymorphisms with gene expression in normal skin from a M. musculus × M. spretus backcross to generate a network view of the gene expression architecture of mouse skin. Here we demonstrate how this approach identifies expression motifs that contribute to tissue organization and biological functions related to inflammation, haematopoiesis, cell cycle control and tumour susceptibility. Motifs associated with inflammation, epidermal barrier function and proliferation are differentially regulated in backcross mice susceptible or resistant to tumour development. The intestinal stem cell marker Lgr5 is identified as a candidate master regulator of the hair follicle, and the vitamin D receptor (Vdr) is linked to coordinated control of epidermal barrier function, inflammation and tumour susceptibility.


Clinical Cancer Research | 2014

TP53 mutation spectrum in breast cancer is subtype specific and has distinct prognostic relevance.

Laxmi Silwal-Pandit; Hans Kristian Moen Vollan; Suet Feung Chin; Oscar M. Rueda; Steven McKinney; Tomo Osako; David A. Quigley; Vessela N. Kristensen; Samuel Aparicio; Anne Lise Børresen-Dale; Carlos Caldas; Anita Langerød

Purpose: In breast cancer, the TP53 gene is frequently mutated and the mutations have been associated with poor prognosis. The prognostic impact of the different types of TP53 mutations across the different molecular subtypes is still poorly understood. Here, we characterize the spectrum and prognostic significance of TP53 mutations with respect to the PAM50 subtypes and integrative clusters (IC). Experimental Design: TP53 mutation status was obtained for 1,420 tumor samples from the METABRIC cohort by sequencing all coding exons using the Sanger method. Results: TP53 mutations were found in 28.3% of the tumors, conferring a worse overall and breast cancer-specific survival [HR = 2.03; 95% confidence interval (CI), 1.65–2.48, P < 0.001], and were also found to be an independent marker of poor prognosis in estrogen receptor-positive cases (HR = 1.86; 95% CI, 1.39–2.49, P < 0.001). The mutation spectrum of TP53 varied between the breast cancer subtypes, and individual alterations showed subtype-specific association. TP53 mutations were associated with increased mortality in patients with luminal B, HER2-enriched, and normal-like tumors, but not in patients with luminal A and basal-like tumors. Similar observations were made in ICs, where mutation associated with poorer outcome in IC1, IC4, and IC5. The combined effect of TP53 mutation, TP53 LOH, and MDM2 amplification on mortality was additive. Conclusion: This study reveals that TP53 mutations have different clinical relevance in molecular subtypes of breast cancer, and suggests diverse roles for TP53 in the biology underlying breast cancer development. Clin Cancer Res; 20(13); 3569–80. ©2014 AACR.


Cancer Research | 2011

Outgrowth of Drug-Resistant Carcinomas Expressing Markers of Tumor Aggression after Long-term TβRI/II Kinase Inhibition with LY2109761

Erin C. Connolly; Elise F. Saunier; David A. Quigley; Minh Thu Luu; Angela De Sapio; Byron Hann; Jonathan M. Yingling; Rosemary J. Akhurst

TGF-β is produced excessively by many solid tumors and can drive malignant progression through multiple effects on the tumor cell and microenvironment. TGF-β signaling pathway inhibitors have shown efficacy in preclinical models of metastatic cancer. Here, we investigated the effect of systemic LY2109761, a TGF-β type I/II receptor (TβRI/TβRII) kinase inhibitor, in both a tumor allograft model and the mouse skin model of de novo chemically induced carcinogenesis in vivo. Systemic LY2109761 administration disrupted tumor vascular architecture and reduced myofibroblast differentiation of E4 skin carcinoma cells in a tumor allograft. In the 7,12-dimethyl-benzanthracene plus phorbol myristate acetate-induced skin chemical carcinogenesis model, acute dosing of established naive primary carcinomas with LY2109761 (100 mg/kg) every 8 hours for 10 days (100 mg/kg) diminished phospho-Smad2 (P-Smad2) levels and marginally decreased the expression of inflammatory and invasive markers. Sustained exposure to LY2109761 (100 mg/kg/d) throughout the tumor outgrowth phase had no effect on carcinoma latency or incidence. However, molecular analysis of resultant carcinomas by microarray gene expression, Western blotting, and immunohistochemistry suggests that long-term LY2109761 exposure leads to the outgrowth of carcinomas with elevated P-Smad2 levels that do not respond to drug. This is the first description of acquired resistance to a small-molecule inhibitor of the TβRI/TβRII kinase. Resultant carcinomas were more aggressive and inflammatory in nature, with delocalized E-cadherin and elevated expression of Il23a, laminin V, and matrix metalloproteinases. Therefore, TGF-β inhibitors might be clinically useful for applications requiring acute administration, but long-term patient exposure to such drugs should be undertaken with caution.


Nature Reviews Genetics | 2009

Systems genetics analysis of cancer susceptibility: from mouse models to humans.

David A. Quigley; Allan Balmain

Genetic studies of cancer susceptibility have shown that most heritable risk cannot be explained by the main effects of common alleles. This may be due to unknown gene–gene or gene–environment interactions and the complex roles of many genes at different stages of cancer. Studies using mouse models of cancer suggest that methods that integrate genetic analysis and genomic networks with knowledge of cancer biology can help to extend our understanding of heritable cancer susceptibility.


Cell Reports | 2016

Large-Scale Profiling of Kinase Dependencies in Cancer Cell Lines

James J. Campbell; Colm J. Ryan; Rachel Brough; Ilirjana Bajrami; Helen N. Pemberton; Irene Y. Chong; Sara Costa-Cabral; Jessica Frankum; Aditi Gulati; Harriet Holme; Rowan Miller; Sophie Postel-Vinay; Rumana Rafiq; Wenbin Wei; Chris T. Williamson; David A. Quigley; Joe E. Tym; Bissan Al-Lazikani; Tim Fenton; Rachael Natrajan; Sandra J. Strauss; Alan Ashworth; Christopher J. Lord

Summary One approach to identifying cancer-specific vulnerabilities and therapeutic targets is to profile genetic dependencies in cancer cell lines. Here, we describe data from a series of siRNA screens that identify the kinase genetic dependencies in 117 cancer cell lines from ten cancer types. By integrating the siRNA screen data with molecular profiling data, including exome sequencing data, we show how vulnerabilities/genetic dependencies that are associated with mutations in specific cancer driver genes can be identified. By integrating additional data sets into this analysis, including protein-protein interaction data, we also demonstrate that the genetic dependencies associated with many cancer driver genes form dense connections on functional interaction networks. We demonstrate the utility of this resource by using it to predict the drug sensitivity of genetically or histologically defined subsets of tumor cell lines, including an increased sensitivity of osteosarcoma cell lines to FGFR inhibitors and SMAD4 mutant tumor cells to mitotic inhibitors.


Journal of Clinical Oncology | 2010

Deletion of the PER3 Gene on Chromosome 1p36 in Recurrent ER-Positive Breast Cancer

Joan Climent; Jesus Perez-Losada; David A. Quigley; Il-Jin Kim; Reyno DelRosario; Kuang-Yu Jen; Ana Bosch; Ana Lluch; Jian-Hua Mao; Allan Balmain

PURPOSE To investigate the role of the PER3 circadian rhythm gene, located within the commonly deleted region of chromosome 1p36, in human breast cancer development. PATIENTS AND METHODS The frequency of genetic alterations at 1p36 and PER3 gene copy number status were analyzed in 180 lymph node-negative breast cancers from patients who had received treatment with chemotherapy and/or tamoxifen. The expression levels of PER3 were also analyzed using published microarray profiles from > 400 breast cancer samples. Finally, the effect of loss of Per3 on tumor susceptibility was tested using two mouse models of breast cancer. RESULTS Deletion of PER3 is directly related to tumor recurrence in patients with estrogen receptor (ER) - positive breast cancers treated with tamoxifen. Low expression of PER3 mRNA is associated with poor prognosis, particularly in a subset of tumors that are ER positive, and either luminal A or ERBB2-positive tumors. Mice deficient in Per3 showed increased susceptibility to breast cancer induced by carcinogen treatment or by overexpression of Erbb2. CONCLUSION Disruption of PER3 function may serve as an indicator of probability of tumor recurrence in patients with ER-positive tumors. Further investigations of this pathway may reveal links between deregulation of sleep homeostasis and breast tumorigenesis.


Genome Biology | 2011

Network analysis of skin tumor progression identifies a rewired genetic architecture affecting inflammation and tumor susceptibility

David A. Quigley; Minh D. To; Il-Jin Kim; Kevin K. Lin; Donna G. Albertson; Jonas Sjölund; Jesus Perez-Losada; Allan Balmain

BackgroundGermline polymorphisms can influence gene expression networks in normal mammalian tissues and can affect disease susceptibility. We and others have shown that analysis of this genetic architecture can identify single genes and whole pathways that influence complex traits, including inflammation and cancer susceptibility. Whether germline variants affect gene expression in tumors that have undergone somatic alterations, and the extent to which these variants influence tumor progression, is unknown.ResultsUsing an integrated linkage and genomic analysis of a mouse model of skin cancer that produces both benign tumors and malignant carcinomas, we document major changes in germline control of gene expression during skin tumor development resulting from cell selection, somatic genetic events, and changes in the tumor microenvironment. The number of significant expression quantitative trait loci (eQTL) is progressively reduced in benign and malignant skin tumors when compared to normal skin. However, novel tumor-specific eQTL are detected for several genes associated with tumor susceptibility, including IL18 (Il18), Granzyme E (Gzme), Sprouty homolog 2 (Spry2), and Mitogen-activated protein kinase kinase 4 (Map2k4).ConclusionsWe conclude that the genetic architecture is substantially altered in tumors, and that eQTL analysis of tumors can identify host factors that influence the tumor microenvironment, mitogen-activated protein (MAP) kinase signaling, and cancer susceptibility.


Nature Communications | 2012

Mouse and human strategies identify PTPN14 as a modifier of angiogenesis and hereditary haemorrhagic telangiectasia

Michael Benzinou; Frederic F. Clermont; Tom G. W. Letteboer; Jai Hyun Kim; Silvia Espejel; Kelly A. Harradine; Juan Arbelaez; Minh Thu Luu; Ritu Roy; David A. Quigley; Mamie Nakayama Higgins; Musa Zaid; Bradley E. Aouizerat; Johannes K. Ploos van Amstel; Sophie Giraud; Sophie Dupuis-Girod; Gaetan Lesca; Henri Plauchu; Christopher C W Hughes; Cornelius J.J. Westermann; Rosemary J. Akhurst

Hereditary haemorrhagic telangiectasia (HHT) [corrected] is a vascular dysplasia syndrome caused by mutations in transforming growth factor-β/bone morphogenetic protein pathway genes, ENG and ACVRL1. HHT [corrected] shows considerable variation in clinical manifestations, suggesting environmental and/or genetic modifier effects. Strain-specific penetrance of the vascular phenotypes of Eng(+/-) and Tgfb1(-/-) mice provides further support for genetic modification of transforming growth factor-β pathway deficits. We previously identified variant genomic loci, including Tgfbm2, which suppress prenatal vascular lethality of Tgfb1(-/-) mice. Here we show that human polymorphic variants of PTPN14 within the orthologous TGFBM2 locus influence clinical severity of HHT, [corrected] as assessed by development of pulmonary arteriovenous malformation. We also show that PTPN14, ACVRL1 and EFNB2, encoding EphrinB2, show interdependent expression in primary arterial endothelial cells in vitro. This suggests an involvement of PTPN14 in angiogenesis and/or arteriovenous fate, acting via EphrinB2 and ACVRL1/activin receptor-like kinase 1. These findings contribute to a deeper understanding of the molecular pathology of HHT [corrected] in particular and to angiogenesis in general.


Genes & Development | 2013

Inflammation and Hras signaling control epithelial–mesenchymal transition during skin tumor progression

Christine Wong; Jennifer S. Yu; David A. Quigley; Minh D. To; Kuang-Yu Jen; Phillips Y. Huang; Reyno Del Rosario; Allan Balmain

Epithelial-mesenchymal transition (EMT) is thought to be an important, possibly essential, component of the process of tumor dissemination and metastasis. About 20%-30% of Hras mutant mouse skin carcinomas induced by chemical initiation/promotion protocols have undergone EMT. Reduced exposure to TPA-induced chronic inflammation causes a dramatic reduction in classical papillomas and squamous cell carcinomas (SCCs), but the mice still develop highly invasive carcinomas with EMT properties, reduced levels of Hras and Egfr signaling, and frequent Ink4/Arf deletions. Deletion of Hras from the mouse germline also leads to a strong reduction in squamous tumor development, but tumors now acquire activating Kras mutations and exhibit more aggressive metastatic properties. We propose that invasive carcinomas can arise by different genetic and biological routes dependent on exposure to chronic inflammation and possibly from different target cell populations within the skin. Our data have implications for the use of inhibitors of inflammation or of Ras/Egfr pathway signaling for prevention or treatment of invasive cancers.


Cancer Discovery | 2017

Analysis of circulating cell-free DnA identifies multiclonal heterogeneity of BRCA2 reversion mutations associated with resistance to PARP inhibitors

David A. Quigley; Joshi J. Alumkal; Alexander W. Wyatt; Vishal Kothari; Adam Foye; Paul Lloyd; Rahul Aggarwal; Won Seog Kim; Eric Lu; Jacob Schwartzman; Kevin Beja; Matti Annala; Rajdeep Das; Morgan E. Diolaiti; Colin C. Pritchard; George Thomas; Scott A. Tomlins; Karen E. Knudsen; Christopher J. Lord; Charles J. Ryan; Jack F. Youngren; Tomasz M. Beer; Alan Ashworth; Eric J. Small; Felix Y. Feng

Approximately 20% of metastatic prostate cancers harbor mutations in genes required for DNA repair by homologous recombination repair (HRR) such as BRCA2 HRR defects confer synthetic lethality to PARP inhibitors (PARPi) such as olaparib and talazoparib. In ovarian or breast cancers, olaparib resistance has been associated with HRR restoration, including by BRCA2 mutation reversion. Whether similar mechanisms operate in prostate cancer, and could be detected in liquid biopsies, is unclear. Here, we identify BRCA2 reversion mutations associated with olaparib and talazoparib resistance in patients with prostate cancer. Analysis of circulating cell-free DNA (cfDNA) reveals reversion mutation heterogeneity not discernable from a single solid-tumor biopsy and potentially allows monitoring for the emergence of PARPi resistance.Significance: The mechanisms of clinical resistance to PARPi in DNA repair-deficient prostate cancer have not been described. Here, we show BRCA2 reversion mutations in patients with prostate cancer with metastatic disease who developed resistance to talazoparib and olaparib. Furthermore, we show that PARPi resistance is highly multiclonal and that cfDNA allows monitoring for PARPi resistance. Cancer Discov; 7(9); 999-1005. ©2017 AACR.See related commentary by Domchek, p. 937See related article by Kondrashova et al., p. 984See related article by Goodall et al., p. 1006This article is highlighted in the In This Issue feature, p. 920.

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Allan Balmain

University of California

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Minh D. To

University of California

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Jian-Hua Mao

University of California

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Il-Jin Kim

University of California

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Alan Ashworth

University of California

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