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662 citation(s) found for "O’Neal, W K".

Diverse and Targetable Kinase Alterations Drive Histiocytic Neoplasms
Diamond, Eli L. , Durham, Benjamin H. , Haroche, Julien , Yao, Zhan , Ma, Jing , Wang, Zhaoming , Choi, John , Kim, Eun Hee , Cohen‐Aubart, Fleur , Lee, Stanley Chun-Wei , Gao, Yijun , Micol, Jean‐Baptiste , Campbell, Patrick , Walsh, Michael P. , Sylvester, Brooke E., Dolgalev, Igor , Aminova, Olga, Heguy, Adriana , Zappile, Paul, Nakitandwe, Joy , Ganzel, Chezi , Dalton, James , Ellison, David W. , Estrada‐Veras, Juvianee , Lacouture, Mario E. , Gahl, William A. , Stephens, Philip J., Miller, Vincent A. , Ali, Siraj M. , Briggs, Samuel, Fasan, Omotayo , Block, Jared , Héritier, Sébastien , Solit, David B. , Hyman, David M. , Baselga, José , Jankú, Filip , Taylor, Barry S. , Amoura, Zahir , Rosen, Neal , Parikh, Sameer A. , Ross, Jeffrey S , Donadieu, Jean , Park, Christopher Y. , Doǧan, Ahmet , Emile, Jean‐François , Gruber, Tanja Andrea , Abdel‐Wahab, Omar , Diamond, Eli L , Wang, Zhaoming , Héritier, Sébastien , Durham, Benjamin

Cancer Discovery | November 13, 2015 | Volume: 6 | Issue: 2 | Pages: 154-165

10.1158/2159-8290.cd-15-0913 | PMID 26566875 Get It

Abstract Histiocytic neoplasms are clonal, hematopoietic disorders characterized by an accumulation of abnormal, monocyte-derived dendritic cells or macrophages in Langerhans cell histiocytosis (LCH) and non-Langerhans cell histiocytosis (non-LCH), respectively. The discovery of BRAFV600E mutations in approximately 50% of these patients provided the first molecular therapeutic target in histiocytosis. However, recurrent driving mutations in the majority of patients with BRAFV600E–wild-type non-LCH are unknown, and recurrent cooperating mutations in non-MAP kinase pathways are undefined for the histiocytic neoplasms. Through combined whole-exome and transcriptome sequencing, we identified recurrent kinase fusions involving BRAF, ALK, and NTRK1, as well as recurrent, activating MAP2K1 and ARAF mutations in patients with BRAFV600E–wild-type non-LCH. In addition to MAP kinase pathway lesions, recurrently altered genes involving diverse cellular pathways were identified. Treatment of patients with MAP2K1- and ARAF-mutated non-LCH using MEK and RAF inhibitors, respectively, resulted in clinical efficacy, demonstrating the importance of detecting and targeting diverse kinase alterations in these disorders. Significance: We provide the first description of kinase fusions in systemic histiocytic neoplasms and activating ARAF and MAP2K1 mutations in non-Langerhans histiocytic neoplasms. Refractory patients with MAP2K1- and ARAF-mutant histiocytoses had clinical responses to MEK inhibition and sorafenib, respectively, highlighting the importance of comprehensive genomic analysis of these disorders. Cancer Discov; 6(2); 154–65. ©2015 AACR. This article is highlighted in the In This Issue feature, p. 109
Heart Rate and Ischemic Stroke: The Reasons for Geographic and Racial Differences in Stroke (Regards) Study
O’Neal, Wesley T. , Howard, Virginia J. , Howard, George , Soliman, Elsayed Z. , Qureshi, Waqas T , Judd, Suzanne E. , Meschia, James F. , Howard, Virginia J , Howard, George

International Journal of Stroke | August 26, 2015 | Volume: 10 | Issue: 8 | Pages: 1229-1235

10.1111/ijs.12620 | PMID 26306564 Get It

Background The association between resting heart rate and ischemic stroke remains unclear. Aim To examine the association between resting heart rate and ischemic stroke. Methods A total of 24 730 participants (mean age: 64 ± 9·3 years; 59% women; 41% blacks) from the REasons for Geographic And Racial Differences in Stroke (REGARDS) study who were free of stroke at the time of enrollment (2003–2007) were included in this analysis. Resting heart rate was determined from baseline electrocardiogram data. Heart rate was examined as a continuous variable per 10 bpm increase and also as a categorical variable using tertiles (<61 bpm, 61 to 70 bpm, and >70 bpm). First-time ischemic stroke events were identified during follow-up and adjudicated by physician review. Results Over a median follow-up of 7·6 years, a total of 646 ischemic strokes occurred. In a Cox regression model adjusted for socio-demographics, cardiovascular risk factors, and potential confounders, each 10 bpm increase in heart rate was associated with a 10% increase in the risk of ischemic stroke (hazard ratio = 1·10, 95% confidence interval = 1·02, 1·18). In the categorical model, an increased risk of ischemic stroke was observed for heart rates in the middle (hazard ratio = 1·29, 95% confidence interval = 1·06, 1·57) and upper (hazard ratio = 1·37, 95% confidence interval = 1·12, 1·67) tertiles compared with the lower tertile. The results were consistent when the analysis was stratified by age, gender, race, exercise habits, hypertension, and coronary heart disease. Conclusion In REGARDS, high resting heart rates were associated with an increased risk of ischemic stroke compared with low heart rates. Further research is needed to examine whether interventions aimed to reduce heart rate decrease stroke risk.
Genome-Wide Association Study of Prostate Cancer–Specific Survival
Szulkin, Robert , Whitington, Thomas, Aly, Markus , Grönberg, Henrik , Eeles, Rosalind A. , Easton, Douglas F. , Olama, Ali Amin Al , Benlloch, Sara, Muir, Kenneth , Giles, Graham G. , Southey, Melissa C. , FitzGerald, Liesel M. , Henderson, Brian E., Schumacher, Fredrick R. , Haiman, Christopher A. , Sipeky, Csilla , Tammela, Teuvo L.J. , Nordestgaard, Børge G. , Travis, Ruth C. , Neal, David E. , Donovan, Jenny , Hamdy, Freddie C. , Pashayan, Nora , Stanford, Janet L. , Thibodeau, Stephen N. , McDonnell, Shannon K. , Schaid, Daniel J. , Maier, Christiane, Vogel, Walther , Luedeke, Manuel, Herkommer, Kathleen , Kibel, Adam S. , Lubiński, Jan , Kluźniak, Wojciech , Cannon‐Albright, Lisa , Brenner, Hermann , Herrmann, Volker, Holleczek, Bernd , Sellers, Thomas A. , Lim, Hui-Yi, Kaneva, Radka , Mitev, Vanio , Teixeira, Manuel R. , Paulo, Paula , Maia, Sofia , Pandha, Hardev , Michael, Agnieszka , Batra, Jyotsna , Clements, Judith A. , BioResource, on behalf of the Australian Prostate Cancer, Albanes, Demetrius, Andriole, Gerald L. , Berndt, Sonja I., Gapstur, Susan M. , Giovannucci, Edward L. , Ma, Jing , Mondul, Alison M. , Stampfer, Meir J. , Stevens, Victoria L. , Weinstein, Stephanie J. , Trichopoulou, Antonia , Bueno-de-Mesquita, Bas H., Tjønneland, Anne , Cox, David G. , Mæhle, Lovise, Schleutker, Johanna , Lindström, Sara , Karlsson, Robert , Kote‐Jarai, Zsofia , Key, Tim , Pharoah, Paul D.P. , Khaw, Kay‐Tee , Cybulski, Cezary , Park, Jong Y. , Slavov, Chavdar , Spurdle, Amanda B. , Kierzek, Andrzej , BioResource, on behalf of the Australian Prostate Cancer, Berndt, Sonja I. , Chanock, Stephen Jacob , Hunter, David J. , Kraft, Peter , Marchand, Loı̈c Le , Penney, Kathryn , Wiklund, Fredrik E. , Giles, Graham G , Teixeira, Manuel R , Eeles, Rosalind A , Southey, Melissa C , Tjønneland, Anne , Donovan, Jenny L , Muir, Kenneth , Schleutker, Johanna , Travis, Ruth C , Pashayan, Nora , Cannon-Albright, Lisa A , Michael, Agnieszka , Brenner, Hermann , Batra, Jyotsna , Clements, Judith , Lubinski, Jan , McDonnell, Shannon K

Cancer Epidemiology, Biomarkers & Prevention | August 25, 2015 | Volume: 24 | Issue: 11 | Pages: 1796-1800

10.1158/1055-9965.epi-15-0543 | PMID 26307654 Get It

Abstract Background: Unnecessary intervention and overtreatment of indolent disease are common challenges in clinical management of prostate cancer. Improved tools to distinguish lethal from indolent disease are critical. Methods: We performed a genome-wide survival analysis of cause-specific death in 24,023 prostate cancer patients (3,513 disease-specific deaths) from the PRACTICAL and BPC3 consortia. Top findings were assessed for replication in a Norwegian cohort (CONOR). Results: We observed no significant association between genetic variants and prostate cancer survival. Conclusions: Common genetic variants with large impact on prostate cancer survival were not observed in this study. Impact: Future studies should be designed for identification of rare variants with large effect sizes or common variants with small effect sizes. Cancer Epidemiol Biomarkers Prev; 24(11); 1796–800. ©2015 AACR.
Limiting early mortality: Do's and don'ts in the management of patients with newly diagnosed multiple myeloma
Godby, Kelly, Kumar, Shaji , Costa, Luciano J. , Gonsalves, Wilson I. , Costa, Luciano J

American Journal of Hematology | July 27, 2015 | Volume: 91 | Issue: 1 | Pages: 101-108

10.1002/ajh.24129 | PMID 26214377 Get It

In the era of novel biological agents, multiple myeloma (MM) is often approached as a chronic condition. While survival continues to improve, population‐level data indicate that early mortality remains a substantial barrier to advances in MM outcomes. Here we provide “do's and don'ts” management recommendations that may minimize the risk of early mortality and ensure that patients have the opportunity to benefit from the long term impact of new effective MM agents. Such recommendations encompass the early introduction of novel agents even in the presence of comorbidities and advanced age and aggressive management of MM‐related complications. Am. J. Hematol. 91:101–108, 2016. © 2015 Wiley Periodicals, Inc.
Prediction of individual genetic risk to prostate cancer using a polygenic score
Szulkin, Robert , Whitington, Thomas, Aly, Markus , Eeles, Rosalind A. , Easton, Douglas F. , Olama, Ali Amin Al , Benlloch, Sara, Muir, Kenneth , Giles, Graham G. , Southey, Melissa C. , FitzGerald, Liesel M. , Henderson, Brian E., Schumacher, Fredrick R. , Haiman, Christopher A. , Schleutker, Johanna , Tammela, Teuvo L.J. , Nordestgaard, Børge G. , Travis, Ruth C. , Neal, David E. , Donovan, Jenny , Hamdy, Freddie C. , Pashayan, Nora , Stanford, Janet L. , Thibodeau, Stephen N. , McDonnell, Shannon K. , Schaid, Daniel J. , Maier, Christiane, Vogel, Walther , Luedeke, Manuel, Herkommer, Kathleen , Kibel, Adam S. , Lubiński, Jan , Kluźniak, Wojciech , Cannon‐Albright, Lisa , Brenner, Hermann , Butterbach, Katja, Stegmaier, Christa, Sellers, Thomas A. , Lim, Hui-Yi, Kaneva, Radka , Mitev, Vanio , Batra, Jyotsna , Clements, Judith A. , BioResource, The Australian Prostate Cancer, Teixeira, Manuel R. , Maia, Sofia , Pandha, Hardev, Michael, Agnieszka , Kierzek, Andrzej , Grönberg, Henrik , Karyadi, Danielle M. , Horvath, Lisa G. , Weischer, Maren , Saunders, Edward J. , Eklund, Martin , Kote‐Jarai, Zsofia , Wahlfors, Tiina , Key, Tim , Pharoah, Paul D.P. , Khaw, Kay‐Tee , Cybulski, Cezary , Park, Jong Y. , Slavov, Chavdar , Spurdle, Amanda B. , Paulo, Paula Loureiro , Wiklund, Fredrik E. , Paulo, Paula , Giles, Graham G , Teixeira, Manuel R , Eeles, Rosalind A , Southey, Melissa C , Donovan, Jenny L , Muir, Kenneth , Schleutker, Johanna , Travis, Ruth C , Pashayan, Nora , Cannon-Albright, Lisa A , Michael, Agnieszka , Brenner, Hermann , Batra, Jyotsna , Clements, Judith , Lubinski, Jan , McDonnell, Shannon K

The Prostate | July 14, 2015 | Volume: 75 | Issue: 13 | Pages: 1467-1474

10.1002/pros.23037 | PMID 26177737 Get It

Variation in Surgical Margin Status by Surgical Approach among Patients Undergoing Partial Nephrectomy for Small Renal Masses
Tabayoyong, William, Abouassaly, Robert , Kiechle, Jonathan, Cherullo, Edward E., Meropol, Neal J. , Shah, Nilay D. , Dong, Shan , Thompson, R. Houston, Smaldone, Marc C. , Zhu, Hui , Ialacci, Sarah, Kim, Simon P. , Dong, Shan

Journal of Urology | June 19, 2015 | Volume: 194 | Issue: 6 | Pages: 1548-1553

10.1016/j.juro.2015.06.076 | PMID 26094808 Get It

Risk Analysis of Prostate Cancer in PRACTICAL, a Multinational Consortium, Using 25 Known Prostate Cancer Susceptibility Loci
Olama, Ali Amin Al , Benlloch, Sara, Antoniou, Antonis C. , Giles, Graham G. , Severi, Gianluca , Neal, David E. , Hamdy, Freddie C. , Donovan, Jenny , Muir, Kenneth , Schleutker, Johanna , Henderson, Brian E., Haiman, Christopher A. , Schumacher, Fredrick R. , Pashayan, Nora , Ostrander, Elaine A. , Stanford, Janet L. , Batra, Jyotsna , Clements, Judith A. , Chambers, Suzanne K. , Weischer, Maren , Nordestgaard, Børge G. , Sørensen, Karina D. , Ørntoft, Torben F., Maier, Christiane, Doerk, Thilo, Dickinson, Joanne L. , Cannon‐Albright, Lisa , Brenner, Hermann , Habuchi, Tomonori , Thibodeau, Stephen N. , Cooney, Kathleen A. , Chappuis, Pierre O. , Hutter, Pierre, Kaneva, Radka , Foulkes, William D. , Lu, Yong‐Jie , Zhang, Hongwei , Stephenson, Robert A., Cox, Angela , Southey, Melissa C. , FitzGerald, Liesel M. , Leongamornlert, Daniel , Saunders, Edward J. , Tymrakiewicz, Malgorzata, Guy, Michelle, Little, Sarah J., Govindasami, Koveela, Sawyer, Emma, Wilkinson, Rosemary, Herkommer, Kathleen , Hopper, John L. , Lophatonanon, Aritaya, Rinckleb, Antje E., Eeles, Rosalind A. , Easton, Douglas F. , Dörk, Thilo , Aitken, Joanne F. , Borre, Michael , Lose, Felicity , Srinivasan, Srilakshmi , Tilley, Wayne D. , Samaratunga, Hemamali , Goranova, Teodora , Catto, James W.F. , Pharoah, Paul D.P. , Ingles, Sue A. , Park, Jong Y. , Cybulski, Cezary , Rebbeck, Timothy R. , Zeigler-Johnson, Charnita M , Zeegers, Maurice Petrus , Spurdle, Amanda B. , Dadaev, Tokhir , Kote‐Jarai, Zsofia , Dwyer, Terry , Dörk, Thilo , Giles, Graham G , Foulkes, William D , Eeles, Rosalind A , Southey, Melissa C , Donovan, Jenny L , Muir, Kenneth , Schleutker, Johanna , Pashayan, Nora , Cannon-Albright, Lisa A , Brenner, Hermann , Cox, Angela , Samaratunga, Hemamali , Severi, Gianluca , Batra, Jyotsna , Clements, Judith

Cancer Epidemiology, Biomarkers & Prevention | April 3, 2015 | Volume: 24 | Issue: 7 | Pages: 1121-1129

10.1158/1055-9965.epi-14-0317 | PMID 25837820 Get It

Abstract Background: Genome-wide association studies have identified multiple genetic variants associated with prostate cancer risk which explain a substantial proportion of familial relative risk. These variants can be used to stratify individuals by their risk of prostate cancer. Methods: We genotyped 25 prostate cancer susceptibility loci in 40,414 individuals and derived a polygenic risk score (PRS). We estimated empirical odds ratios (OR) for prostate cancer associated with different risk strata defined by PRS and derived age-specific absolute risks of developing prostate cancer by PRS stratum and family history. Results: The prostate cancer risk for men in the top 1% of the PRS distribution was 30.6 (95% CI, 16.4–57.3) fold compared with men in the bottom 1%, and 4.2 (95% CI, 3.2–5.5) fold compared with the median risk. The absolute risk of prostate cancer by age of 85 years was 65.8% for a man with family history in the top 1% of the PRS distribution, compared with 3.7% for a man in the bottom 1%. The PRS was only weakly correlated with serum PSA level (correlation = 0.09). Conclusions: Risk profiling can identify men at substantially increased or reduced risk of prostate cancer. The effect size, measured by OR per unit PRS, was higher in men at younger ages and in men with family history of prostate cancer. Incorporating additional newly identified loci into a PRS should improve the predictive value of risk profiles. Impact: We demonstrate that the risk profiling based on SNPs can identify men at substantially increased or reduced risk that could have useful implications for targeted prevention and screening programs. Cancer Epidemiol Biomarkers Prev; 24(7); 1121–9. ©2015 AACR.
Cortisol Reactivity in Two-Year-Old Children Prenatally Exposed to Methamphetamine
Kirlić, Namik , Newman, Elana , LaGasse, Linda L. , Derauf, Chris, Shah, Rizwan, Smith, Lynne M. , Haning, William, Strauss, Arthur, DellaGrotta, Sheri A., Dansereau, Lynne M., Abar, Beau , Neal, Charles R., Lester, Barry M. , Arria, Amelia M. , Huestis, Marilyn Ann

Journal of Studies on Alcohol and Drugs | March 5, 2015 | Volume: 74 | Issue: 3 | Pages: 447-451

10.15288/jsad.2013.74.447 | PMID 23490574 Get It

A Large-Scale Analysis of Genetic Variants within Putative miRNA Binding Sites in Prostate Cancer
Stegeman, Shane, Amankwah, Ernest K. , Klein, Kerenaftali, Kim, Donghwa , Lin, Hui‐Yi , Permuth‐Wey, Jennifer, Sellers, Thomas A. , Srinivasan, Srilakshmi , Eeles, Rosalind A. , Easton, Doug , Olama, Ali Amin Al , Benlloch, Sara, Muir, Kenneth , Wiklund, Fredrik, Grönberg, Henrik , Haiman, Christopher A. , Schleutker, Johanna , Nordestgaard, Børge G. , Travis, Ruth C. , Neal, David E. , Stanford, Janet L. , Blot, William J. , Thibodeau, Stephen N. , Maier, Christiane, Kibel, Adam S. , Brenner, Hermann , Kaneva, Radka , Teixeira, Manuel R. , BioResource, Australian Prostate Cancer, Clements, Judith A. , Batra, Jyotsna , Wahlfors, Tiina , Leongamornlert, Daniel , Southey, Melissa C. , Schumacher, Fredrick R. , Henrique, Rui , Hamdy, Freddie C. , Donovan, Jenny , Pashayan, Nora , Weischer, Maren , Saunders, Edward J. , Mitev, Vanio , Maia, Sofia , Tilley, Wayne D. , Thibodeau, Stephen, O’Mara, Tracy A. , Kote‐Jarai, Zsofia , Giles, Graham G. , Pharoah, Paul D.P. , Khaw, Kay‐Tee , Cybulski, Cezary , Cannon‐Albright, Lisa , BioResource, Australian Prostate Cancer, Spurdle, Amanda B. , Park, Jong Y. , Paulo, Paula , Teixeira, Manuel R , Eeles, Rosalind A , Southey, Melissa C , Donovan, Jenny L , Muir, Kenneth , Schleutker, Johanna , Travis, Ruth C , Pashayan, Nora , Lin, Hui-Yi , Brenner, Hermann , Pinto, Pedro , Batra, Jyotsna , Clements, Judith

Cancer Discovery | February 17, 2015 | Volume: 5 | Issue: 4 | Pages: 368-379

10.1158/2159-8290.cd-14-1057 | PMID 25691096 Get It

Abstract Prostate cancer is the second most common malignancy among men worldwide. Genome-wide association studies have identified 100 risk variants for prostate cancer, which can explain approximately 33% of the familial risk of the disease. We hypothesized that a comprehensive analysis of genetic variations found within the 3′ untranslated region of genes predicted to affect miRNA binding (miRSNP) can identify additional prostate cancer risk variants. We investigated the association between 2,169 miRSNPs and prostate cancer risk in a large-scale analysis of 22,301 cases and 22,320 controls of European ancestry from 23 participating studies. Twenty-two miRSNPs were associated (P &lt; 2.3 × 10−5) with risk of prostate cancer, 10 of which were within 7 genes previously not mapped by GWAS studies. Further, using miRNA mimics and reporter gene assays, we showed that miR-3162-5p has specific affinity for the KLK3 rs1058205 miRSNP T-allele, whereas miR-370 has greater affinity for the VAMP8 rs1010 miRSNP A-allele, validating their functional role. Significance: Findings from this large association study suggest that a focus on miRSNPs, including functional evaluation, can identify candidate risk loci below currently accepted statistical levels of genome-wide significance. Studies of miRNAs and their interactions with SNPs could provide further insights into the mechanisms of prostate cancer risk. Cancer Discov; 5(4); 368–79. ©2015 AACR. See related commentary by Yousef, p. 351 This article is highlighted in the In This Issue feature, p. 333
Prognostication in Pulmonary Arterial Hypertension with Submaximal Exercise Testing
Khatri, Vinod , Neal, Jennifer, Lee, Augustine S. , Burger, Charles D.

Diseases | February 6, 2015 | Volume: 3 | Issue: 1 | Pages: 15-23

10.3390/diseases3010015 | PMID 28943605 Get It

Introduction: The submaximal exercise test (SET), which gives both a measure of exercise tolerance, as well as disease severity, should be a more robust functional and prognostic marker than the six-minute walk test (6MWT). This study aimed to determine the prognostic value of SET as predicted by the validated REVEAL (Registry to Evaluate Early and Long-Term Pulmonary Artery Hypertension Disease Management) registry risk score (RRRS). Methods: Sixty-five consecutive patients with idiopathic and associated pulmonary arterial hypertension (PAH) underwent right-heart catheterization, echocardiogram, 6MWT and a three-minute SET (Shape-HF™). Analyses explored the association between SET variables and prognosis predicted by the RRRS. Results: Although multiple SET variables correlated with the RRRS on univariate analyses, only VE/VCO2 (r = 0.57, p < 0.0001) remained an independent predictor in multivariate analysis (β = 0.05, p = 0.0371). Additionally, the VE/VCO2 was the most discriminatory (area under receiver operating characteristic curve, 0.84) in identifying the highest-risk category (RRRS ≥ 10), with an optimal cut-off of 40.6, resulting in a high sensitivity (92%) and negative-predictive value (97%), but a lower specificity (67%). Conclusion: SETs, particularly the VE/VCO2, appear to have prognostic value when compared to the RRRS. If validated in prospective trials, SET should prove superior to the 6MWT or the RRRS, with significant implications for both future clinical trials and clinical practice.