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Dive into the research topics where Karen Devine is active.

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Featured researches published by Karen Devine.


Cancer Research | 2011

Genome-wide high-density SNP linkage search for glioma susceptibility loci: results from the Gliogene Consortium

Sanjay Shete; Ching C. Lau; Richard S. Houlston; Elizabeth B. Claus; Jill S. Barnholtz-Sloan; Rose Lai; Dora Il'yasova; Joellen M. Schildkraut; Siegal Sadetzki; Christoffer Johansen; Jonine L. Bernstein; Sara H. Olson; Robert B. Jenkins; Ping Yang; Nicholas A. Vick; Margaret Wrensch; Faith G. Davis; Bridget J. McCarthy; Eastwood Leung; Caleb F. Davis; Rita Cheng; Fay J. Hosking; Georgina Armstrong; Yanhong Liu; Robert Yu; Roger Henriksson; Beatrice Melin; Melissa L. Bondy; Christopher I. Amos; Kenneth D. Aldape

Gliomas, which generally have a poor prognosis, are the most common primary malignant brain tumors in adults. Recent genome-wide association studies have shown that inherited susceptibility plays a role in the development of glioma. Although first-degree relatives of patients exhibit a two-fold increased risk of glioma, the search for susceptibility loci in familial forms of the disease has been challenging because the disease is relatively rare, fatal, and heterogeneous, making it difficult to collect sufficient biosamples from families for statistical power. To address this challenge, the Genetic Epidemiology of Glioma International Consortium (Gliogene) was formed to collect DNA samples from families with two or more cases of histologically confirmed glioma. In this study, we present results obtained from 46 U.S. families in which multipoint linkage analyses were undertaken using nonparametric (model-free) methods. After removal of high linkage disequilibrium single-nucleotide polymorphism, we obtained a maximum nonparametric linkage score (NPL) of 3.39 (P = 0.0005) at 17q12-21.32 and the Z-score of 4.20 (P = 0.000007). To replicate our findings, we genotyped 29 independent U.S. families and obtained a maximum NPL score of 1.26 (P = 0.008) and the Z-score of 1.47 (P = 0.035). Accounting for the genetic heterogeneity using the ordered subset analysis approach, the combined analyses of 75 families resulted in a maximum NPL score of 3.81 (P = 0.00001). The genomic regions we have implicated in this study may offer novel insights into glioma susceptibility, focusing future work to identify genes that cause familial glioma.


Journal of Neurosurgery | 2013

Methylation markers of malignant potential in meningiomas

Jaime Vengoechea; Andrew E. Sloan; Yanwen Chen; Xiaowei Guan; Quinn T. Ostrom; Amber Kerstetter; Devan Capella; Mark L. Cohen; Yingli Wolinsky; Karen Devine; Warren R. Selman; Gene H. Barnett; Ronald E. Warnick; Christopher McPherson; E. Antonio Chiocca; J. Bradley Elder; Jill S. Barnholtz-Sloan

OBJECTnAlthough most meningiomas are benign, about 20% are atypical (Grade II or III) and have increased mortality and morbidity. Identifying tumors with greater malignant potential can have significant clinical value. This validated genome-wide methylation study comparing Grade I with Grade II and III meningiomas aims to discover genes that are aberrantly methylated in atypical meningiomas.nnnMETHODSnPatients with newly diagnosed meningioma were identified as part of the Ohio Brain Tumor Study. The Infinium HumanMethylation27 BeadChip (Illumina, Inc.) was used to interrogate 27,578 CpG sites in 14,000 genes per sample for a discovery set of 33 samples (3 atypical). To verify the results, the Infinium HumanMethylation450 BeadChip (Illumina, Inc.) was used to interrogate 450,000 cytosines at CpG loci throughout the genome for a verification set containing 7 replicates (3 atypical), as well as 12 independent samples (6 atypical). A nonparametric Wilcoxon exact test was used to test for difference in methylation between benign and atypical meningiomas in both sets. Heat maps were generated for each set. Methylation results were validated for the 2 probes with the largest difference in methylation intensity by performing Western blot analysis on a set of 20 (10 atypical) samples, including 11 replicates.nnnRESULTSnThe discovery array identified 95 probes with differential methylation between benign and atypical meningiomas, creating 2 distinguishable groups corresponding to tumor grade when visually examined on a heat map. The validation array evaluated 87 different probes and showed that 9 probes were differentially methylated. On heat map examination the results of this array also suggested the existence of 2 major groups that corresponded to histological grade. IGF2BP1 and PDCD1, 2 proteins that can increase the malignant potential of tumors, were the 2 probes with the largest difference in intensity, and for both of these the atypical meningiomas had a decreased median production of protein, though this was not statistically significant (p = 0.970 for IGF2BP1 and p = 1 for PDCD1).nnnCONCLUSIONSnA genome-wide methylation analysis of benign and atypical meningiomas identified 9 genes that were reliably differentially methylated, with the strongest difference in IGF2BP1 and PDCD1. The mechanism why increased methylation of these sites is associated with an aggressive phenotype is not evident. Future research may investigate this mechanism, as well as the utility of IGF2BP1 as a marker for pathogenicity in otherwise benign-appearing meningiomas.


Frontiers in Oncology | 2012

Family History of Cancer in Benign Brain Tumor Subtypes Versus Gliomas

Quinn T. Ostrom; Christopher McCulloh; Yanwen Chen; Karen Devine; Yingli Wolinsky; Perica Davitkov; Sarah Robbins; Rajesh Cherukuri; Ashokkumar Patel; Rajnish Gupta; Mark L. Cohen; Jaime Vengoechea Barrios; Cathy Brewer; Cathy Schilero; Kathy N. Smolenski; Mary McGraw; Barbara Denk; Theresa Naska; Frances Laube; Ruth Steele; Dale Greene; Alison Kastl; Susan Bell; Dina Aziz; E. A. Chiocca; Christopher McPherson; Ronald E. Warnick; Gene H. Barnett; Andrew E. Sloan; Jill S. Barnholtz-Sloan

Purpose: Family history is associated with gliomas, but this association has not been established for benign brain tumors. Using information from newly diagnosed primary brain tumor patients, we describe patterns of family cancer histories in patients with benign brain tumors and compare those to patients with gliomas. Methods: Newly diagnosed primary brain tumor patients were identified as part of the Ohio Brain Tumor Study. Each patient was asked to participate in a telephone interview about personal medical history, family history of cancer, and other exposures. Information was available from 33 acoustic neuroma (65%), 78 meningioma (65%), 49 pituitary adenoma (73.1%), and 152 glioma patients (58.2%). The association between family history of cancer and each subtype was compared with gliomas using unconditional logistic regression models generating odds ratios (ORs) and 95% confidence intervals. Results: There was no significant difference in family history of cancer between patients with glioma and benign subtypes. Conclusion: The results suggest that benign brain tumor may have an association with family history of cancer. More studies are warranted to disentangle the potential genetic and/or environmental causes for these diseases.


Neuro-Oncology Practice | 2016

Brain tumor biobanking in the precision medicine era: Building a high-quality resource for translational research in neuro-oncology

Quinn T. Ostrom; Karen Devine; Jordonna Fulop; Yingli Wolinsky; Peter Liao; Lindsay Stetson; Marta Couce; Andrew E. Sloan; Jill S. Barnholtz-Sloan

The growth of precision medicine has made access to biobanks with high-quality, well-annotated neuro-oncology biospecimens critical. Developing and maintaining neuro-oncology biobanks is best accomplished through multidisciplinary collaboration between clinicians and researchers. Balancing the needs and leveraging the skills of all stakeholders in this multidisciplinary effort is of utmost importance. Collaboration with a multidisciplinary team of clinicians, health care team members, and institutions, as well as patients and their families, is essential for access to participants in order to obtain informed consent, collect samples under strict standard operating procedures, and accurate and relevant clinical annotation. Once a neuro-oncology biobank is established, development and implementation of policies related to governance and distribution of biospecimens (both within and outside the institution) is of critical importance for sustainability. Proper implementation of a governance process helps to ensure that the biospecimens and data can be utilized in research with the largest potential benefit. New NIH and peer-reviewed journal policies related to public sharing of omic data generated from stored biospecimens create new ethical challenges that must be addressed in developing informed consents, protocols, and standard operating procedures. In addition, diversification of sources of funding for the biobanks is needed for long-term sustainability.


Neuro-Oncology Practice | 2017

Erratum: Brain tumor biobanking in the precision medicine era: Building a high-quality resource for translational research in neuro-oncology [Neurooncol Pract (2016)] DOI:10.1093/nop/npw029

Quinn T. Ostrom; Karen Devine; Jordonna Fulop; Peter Liao; Lindsay Stetson; Marta Couce; Andrew E. Sloan; Jill S. Barnholtz-Sloan

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Jill S. Barnholtz-Sloan

Case Western Reserve University

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Andrew E. Sloan

Case Western Reserve University

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Quinn T. Ostrom

Case Western Reserve University

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Yingli Wolinsky

Case Western Reserve University

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Jordonna Fulop

Case Western Reserve University

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Lindsay Stetson

Case Western Reserve University

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Mark L. Cohen

Case Western Reserve University

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Marta Couce

Case Western Reserve University

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