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1825 citation(s) found for "Yu, Emily".

Genetic Data from Nearly 63,000 Women of European Descent Predicts DNA Methylation Biomarkers and Epithelial Ovarian Cancer Risk
Yang, Yaohua , Wu, Lang , Shu, Xiao-Ou , Lu, Yingchang , Beeghly‐Fadiel, Alicia, Li, Bingshan , Ye, Fei , Banerjee, Susana , Benı́tez, Javier , Chang‐Claude, Jenny , Chen, Kexin , DeFazio, Anna , Dörk, Thilo , Eccles, Diana M., Edwards, Digna Velez, Fasching, Peter A. , Fortner, Renée T. , Gayther, Simon A. , Goode, Ellen L. , Goodman, Marc T. , Heitz, Florian , Hildebrandt, Michelle A.T., Høgdall, Estrid , Høgdall, Claus , Huntsman, David G. , Kar, Siddhartha , Kelemen, Linda E. , Koushik, Anita , Lambrechts, Diether , Le, Nhu D. , Levine, Douglas A. , Massuger, Leon F.A.G. , Matsuo, Keitaro , May, Taymaa, McNeish, Iain A. , Menon, Usha , Monteiro, Álvaro N.A. , Moorman, Patricia G. , Moysich, Kirsten B. , Ness, Roberta B., Olsson, Håkan , Onland‐Moret, N. Charlotte , Park, Sue K. , Paul, James , Pearce, Celeste Leigh, Phelan, Catherine M., Pike, Malcolm C. , Ramus, Susan J. , Ríboli, Elio , Rodríguez‐Antona, Cristina , Romieu, Isabelle, Sandler, Dale P. , Schildkraut, Joellen M. , Shan, Kang, Sieh, Weiva , Stampfer, Meir J. , Sutphen, Rebecca , Swerdlow, Anthony J. , Szafron, Lukasz M. , Teo, Soo‐Hwang , Tworoger, Shelley S. , Webb, Penelope M. , Wentzensen, Nicolas , Woo, Yin Ling , Wu, Anna H. , Chenevix‐Trench, Georgia , Sellers, Thomas A. , Long, Jirong , Eccles, Diana , Lambrechts, Diether , Chen, Kexin , Shu, Xiao-Ou , Brenton, James D , Chang-Claude, Jenny , Fazio, Anna de , Dennis, Joe , Fasching, Peter A , Fortner, Renée T , Giles, Graham G , Harris, Holly R , Kiemeney, Lambertus A , Kjaer, Susanne K , Koushik, Anita , McNeish, Iain A , Menon, Usha , Monteiro, Alvaro N , Nevanlinna, H , Park, Sue K , Paul, James , Ramus, Susan J , Rodríguez-Antona, Cristina , Sandler, Dale P , Szafron, Lukasz M , Teo, Soo H , Tworoger, Shelley S , Webb, Penelope M , Wolk, Alicja , Dörk, Thilo , Lambrechts, Diether , Eccles, Diana , Swerdlow, Anthony J , Moysich, Kirsten , Matsuo, Keitaro , Heitz, Florian , Lambrechts, Diether , Sieh, Weiva , Benitez, Javier , Chenevix-Trench, Georgia , Høgdall, Estrid , Høgdall, Claus K , Kar, Siddhartha , Riboli, Elio , Goodman, Marc T , Cai, Qiuyin , Beeghly‐Fadiel, Alicia , Berchuck, Andrew , Anton‐Culver, Hoda , Bjørge, Line , Brenton, James D. , Bützow, Ralf C. , Campbell, Ian , Cook, Linda S. , Cramer, Daniel W. , Doherty, Jennifer A. , Edwards, Digna R. Velez , Giles, Graham G. , Glasspool, Rosalind , Gronwald, Jacek , Harris, Holly R. , Hildebrandt, Michelle A.T. , Karlan, Beth Y. , Kiemeney, Lambertus A. , Kjær, Susanne K. , Modugno, Francesmary , Nevanlinna, Heli , Pejovic, Tanja B. , Setiawan, Veronica Wendy , Shan, Kang, Siddiqui, Nadeem , Tyrer, Jonathan P. , White, Emily , Willett, Walter C. , Wolk, Alicja , Li, Yan , Yannoukakos, Drakoulis , Pharoah, Paul D.P. , Zheng, Wei , Yang, Yaohua

Mayo Clinic

Cancer Research | December 17, 2018 | Volume: 79 | Issue: 3 | Pages: 505-517

10.1158/0008-5472.can-18-2726 | PMID 30559148 Get It

Abstract DNA methylation is instrumental for gene regulation. Global changes in the epigenetic landscape have been recognized as a hallmark of cancer. However, the role of DNA methylation in epithelial ovarian cancer (EOC) remains unclear. In this study, high-density genetic and DNA methylation data in white blood cells from the Framingham Heart Study (N = 1,595) were used to build genetic models to predict DNA methylation levels. These prediction models were then applied to the summary statistics of a genome-wide association study (GWAS) of ovarian cancer including 22,406 EOC cases and 40,941 controls to investigate genetically predicted DNA methylation levels in association with EOC risk. Among 62,938 CpG sites investigated, genetically predicted methylation levels at 89 CpG were significantly associated with EOC risk at a Bonferroni-corrected threshold of P < 7.94 × 10−7. Of them, 87 were located at GWAS-identified EOC susceptibility regions and two resided in a genomic region not previously reported to be associated with EOC risk. Integrative analyses of genetic, methylation, and gene expression data identified consistent directions of associations across 12 CpG, five genes, and EOC risk, suggesting that methylation at these 12 CpG may influence EOC risk by regulating expression of these five genes, namely MAPT, HOXB3, ABHD8, ARHGAP27, and SKAP1. We identified novel DNA methylation markers associated with EOC risk and propose that methylation at multiple CpG may affect EOC risk via regulation of gene expression. Significance: Identification of novel DNA methylation markers associated with EOC risk suggests that methylation at multiple CpG may affect EOC risk through regulation of gene expression.
Transcriptome and epigenome landscape of human cortical development modeled in organoids
Amiri, Anahita , Coppola, Gianfilippo , Scuderi, Soraya , Wu, Feinan , Roychowdhury, Tanmoy , Liu, Fuchen , Pochareddy, Sirisha , Shin, Yurae , Safi, Alexias , Song, Lingyun , Sousa, André M. M. , Crawford, Gregory E. , Šestan, Nenad , Abyzov, Alexej , Vaccarino, Flora M. , An, Joon‐Yong , Armoskus, Christoper, Beach, Thomas G., Belmont, Judson, Bendl, Jaroslav , Borrman, Tyler , Brown, Leanne, Brown, Miguel , Brown, Mimi, Brunetti, Tonya M. , Burke, Emily E., Chae, Yooree, Charney, Alexander W. , Cherskov, Adriana , Choi, Jinmyung , Clarke, Declan , Valle, Diane M. Del , Devillers, Olivia, Dracheva, Stella , Emani, Prashant S. , Evgrafov, Oleg V. , Fitzgerald, Dominic , Flatow, Elie, Francoeur, Nancy , Fullard, John F. , Gao, Tianliuyun , Geschwind, Daniel H. , Giase, Gina , Goodman, Thomas, Grennan, Kay, Gu, Mengting , Hadjimichael, Evi , Hahn, Chang-Gyu, Haroutunian, Vahram , Huey, Jack , Ivanov, Nikolay A. , Jacobov, Rivka, Jiang, Yan , Jiang, Yi , Kassim, Bibi, Kefi, Amira , Kleiman, Joel E., Knowles, James A. , Kozlenkov, Alexey , Li, Zhen , Lipska, Barbara K., Mangravite, Lara M. , Mariani, Jessica , Mattei, Eugenio , Miller, Daniel J. , Moore, J. Russell, Peters, Mette A. , Pinto, Dalila , Polioudakis, Damon, Ray, Mohana, Reddy, Timothy E. , Rhie, Suhn K. , Santpere, Gabriel , Sheppard, Brooke , Shi, Xu , Shieh, Annie W. , Shin, Joo Heon , Spitsyna, Valeria N. , Szatkiewicz, Jin , Szekely, Anna , Wang, Yongjun , Weissman, Sherman M., Weng, Zhiping , White, Kevin P. , Willsey, Jeremy A., Witt, Heather , Won, Hyejung , Xia, Yan , Xu, Min , Yang, Mo , Zandi, Peter P. , Zhang, Jing , Zharovsky, Elizabeth , Sousa, André M M , Gerstein, Mark , Crawford, Gregory E , Sestan, Nenad , Abyzov, Alexej , Vaccarino, Flora M , Del Valle, Diane M , Zhu, Ying , Gerstein, Mark , Akbarian, Schahram , Ashley‐Koch, Allison E. , Bryois, Julien , Camarena, Adrian , Carlyle, Becky Catherine , Chen, Chao , Cheng, Lijun , Collado‐Torres, Leonardo , Dai, Rujia , Torre-Ubieta, Luis de la , Farnham, Peggy , Gandal, Michael J. , Garrett, Melanie E , Girdhar, Kiran Kumar , Giusti‐Rodríguez, Paola , Goes, Fernando , Goodman, Thomas, Gürsoy, Gamze , Hauberg, Mads E. , Hoffman, Gabriel E. , Hyde, Thomas M , Jaffe, Andrew E. , Johnson, Graham D. , Kim, Yunjung , Kitchen, Robert , Li, Mingfeng , Liu, Chunyu , Liu, Shuang , Moore, Jill, Nairn, Angus C. , Navarro, Fábio C. P. , Park, Royce , Pratt, Henry , Price, Amanda J. , Purcaro, Michael J. , Roussos, Panos , Sanders, Stephan , Schreiner, Shannon , Škarica, Mario , State, Matthew W. , Sullivan, Patrick F. , Swarup, Vivek , Tao, Ran , Bakel, Harm van , Wang, Daifeng , Warrell, Jonathan , Webster, Maree J. , Werling, Donna M. , Wiseman, Jennifer R. , Wray, Gregory A. , Yang, Yucheng

Mayo Clinic

Science | December 13, 2018 | Volume: 362 | Issue: 6420 | Pages: No page available

10.1126/science.aat6720 | PMID 30545853 Get It

INTRODUCTION The human cerebral cortex has undergone an extraordinary increase in size and complexity during mammalian evolution. Cortical cell lineages are specified in the embryo, and genetic and epidemiological evidence implicates early cortical development in the etiology of neuropsychiatric disorders such as autism spectrum disorder (ASD), intellectual disabilities, and schizophrenia. Most of the disease-implicated genomic variants are located outside of genes, and the interpretation of noncoding mutations is lagging behind owing to limited annotation of functional elements in the noncoding genome. RATIONALE We set out to discover gene-regulatory elements and chart their dynamic activity during prenatal human cortical development, focusing on enhancers, which carry most of the weight upon regulation of gene expression. We longitudinally modeled human brain development using human induced pluripotent stem cell (hiPSC)–derived cortical organoids and compared organoids to isogenic fetal brain tissue. RESULTS Fetal fibroblast–derived hiPSC lines were used to generate cortically patterned organoids and to compare oganoids’ epigenome and transcriptome to that of isogenic fetal brains and external datasets. Organoids model cortical development between 5 and 16 postconception weeks, thus enabling us to study transitions from cortical stem cells to progenitors to early neurons. The greatest changes occur at the transition from stem cells to progenitors. The regulatory landscape encompasses a total set of 96,375 enhancers linked to target genes, with 49,640 enhancers being active in organoids but not in mid-fetal brain, suggesting major roles in cortical neuron specification. Enhancers that gained activity in the human lineage are active in the earliest stages of organoid development, when they target genes that regulate the growth of radial glial cells. Parallel weighted gene coexpression network analysis (WGCNA) of transcriptome and enhancer activities defined a number of modules of coexpressed genes and coactive enhancers, following just six and four global temporal patterns that we refer to as supermodules, likely reflecting fundamental programs in embryonic and fetal brain. Correlations between gene expression and enhancer activity allowed stratifying enhancers into two categories: activating regulators (A-regs) and repressive regulators (R-regs). Several enhancer modules converged with gene modules, suggesting that coexpressed genes are regulated by enhancers with correlated patterns of activity. Furthermore, enhancers active in organoids and fetal brains were enriched for ASD de novo variants that disrupt binding sites of homeodomain, Hes1, NR4A2, Sox3, and NFIX transcription factors. CONCLUSION We validated hiPSC-derived cortical organoids as a suitable model system for studying gene regulation in human embryonic brain development, evolution, and disease. Our results suggest that organoids may reveal how noncoding mutations contribute to ASD etiology. Summary of the study, analyses, and main results. Data were generated for iPSC-derived human telencephalic organoids and isogenic fetal cortex. Organoids modeled embryonic and early fetal cortex and show a larger repertoire of enhancers. Enhancers could be divided into activators and repressors of gene expression. We derived networks of modules and supermodules with correlated gene and enhancer activities, some of which were implicated in autism spectrum disorders (ASD).
Predicting Progression to Mild Cognitive Impairment
Petersen, Ronald C. , Lundt, Emily S. , Therneau, Terry M. , Weigand, Stephen D. , Roberts, Rosebud O., Lowe, Val J. , Kremers, Walter K. , Geda, Yonas E. , Jack, Clifford R. , Jack, Clifford R , Geda, Yonas E , Kremers, Walter K , Knopman, David S. , Mielke, Michelle M. , Machulda, Mary M. , Lundt, Emily S

Mayo Clinic

Annals of Neurology | December 6, 2018 | Volume: 85 | Issue: 1 | Pages: 155-160

10.1002/ana.25388 | PMID 30521086 Get It

Despite much attention to the use of biomarkers for predicting Alzheimer disease, little information is available at the individual level. We used the population‐based Mayo Clinic Study of Aging to estimate absolute risk of cognitive impairment by biomarker group. Risk increased with age and any biomarker abnormality. For example, a 75‐year‐old with abnormal amyloid and cortical thinning biomarkers has about a 20% chance of cognitive impairment by age 80 years, whereas with normal biomarkers the chance is <10%. Persons with only one abnormal biomarker had similar intermediate risks. ANN NEUROL 2019;85:155–160.
Incidence of and risk factors for major haemorrhage in patients treated with ibrutinib: An integrated analysis
Brown, Jennifer R. , Moslehi, Javid J. , Ewer, Michael S. , O’Brien, Susan , Ghia, Paolo , Cymbalista, Florence, Shanafelt, Tait D. , Fraser, Graeme , Rule, Simon , Dilhuydy, Marie‐Sarah, Cramer, Paula , Jaeger, Ulrich, Dreyling, Martin , Byrd, John C., Liu, Emily Y., Chang, Stephen, Bista, Amulya, Vempati, Rama, Boornazian, Lisa, Valentino, Rudolph, Reddy, Vijay , Mahler, Michelle, Yang, Huiying , Graef, Thorsten , Byrd, John C. , Treon, Steven , Burger, Jan A , Shanafelt, Tait D , Ghia, Paolo , Coutré, Steven , Dilhuydy, Marie‐Sarah, Byrd, John C. , Treon, Steven P. , Bista, Amulya R, Burger, Jan A. , Byrd, John C

Mayo Clinic

British Journal of Haematology | December 3, 2018 | Volume: 184 | Issue: 4 | Pages: 558-569

10.1111/bjh.15690 | PMID 30506764 Get It

SummaryIbrutinib, a Bruton tyrosine kinase inhibitor, is approved for treatment of various B‐cell malignancies. In ibrutinib clinical studies, low‐grade haemorrhage was common, whereas major haemorrhage (MH) was infrequent. We analysed the incidence of and risk factors for MH from 15 ibrutinib clinical studies (N = 1768), including 4 randomised controlled trials (RCTs). Rates of any‐grade bleeding were similar for single‐agent ibrutinib and ibrutinib combinations (39% and 40%). Low‐grade bleeding was more common in ibrutinib‐treated than comparator‐treated patients (35% and 15%), and early low‐grade bleeding was not associated with MH. The proportion of MH in RCTs was higher with ibrutinib than comparators (4.4% vs. 2.8%), but after adjusting for longer exposure with ibrutinib (median 13 months vs. 6 months), the incidence of MH was similar (3.2 vs. 3.1 per 1000 person‐months). MH led to treatment discontinuation in 1% of all ibrutinib‐treated patients. Use of anticoagulants and/or antiplatelets (AC/AP) during the study was common (~50% of patients) and had an increased exposure‐adjusted relative risk for MH in both the total ibrutinib‐treated population (1.9; 95% confidence interval, 1.2–3.0) and RCT comparator‐treated patients (2.4; 95% confidence interval, 1.0–5.6), indicating that ibrutinib may not alter the effect of AC/AP on the risk of MH in B‐cell malignancies.
Phase I Study of AMG 337, a Highly Selective Small-molecule MET Inhibitor, in Patients with Advanced Solid Tumors
Hong, David S. , LoRusso, Patricia , Hamid, Omid , Jankú, Filip , Kittaneh, Muaiad , Catenacci, Daniel V.T. , Chan, Emily , Bekaii‐Saab, Tanios , Loberg, Robert D., Amore, Benny , Hwang, Yuying C., Tang, Rui , Ngarmchamnanrith, Gataree, Kwak, Eunice L., Hong, David S , Bekaii-Saab, Tanios S , Gadgeel, Shirish M.

Mayo Clinic

Clinical Cancer Research | November 13, 2018 | Volume: 25 | Issue: 8 | Pages: 2403-2413

10.1158/1078-0432.ccr-18-1341 | PMID 30425090 Get It

Abstract Purpose: This first-in-human, open-label phase I study evaluated AMG 337, an oral, highly selective small-molecule inhibitor of MET in advanced solid tumors. Patients and Methods: Patients enrolled into dose-escalation cohorts received AMG 337 up to 400 mg once daily or up to 250 mg twice daily, following a modified 3+3+3 design. Dose expansion was conducted in MET-amplified patients at the maximum tolerated dose (MTD). Primary endpoints included assessment of adverse events (AEs), establishment of the MTD, and pharmacokinetics; clinical response was a secondary endpoint. Results: The safety analysis set included 111 patients who received ≥1 dose of AMG 337. Thirteen patients had ≥1 AE qualifying as dose-limiting toxicity. The MTD was determined to be 300 mg once daily; the MTD for twice-daily dosing was not reached. Most frequent treatment-related AEs were headache (63%) and nausea (31%). Grade ≥3 treatment-related AEs occurred in 23 patients (21%), most commonly headache (n = 6) and fatigue (n = 5). Maximum plasma concentration occurred at 3.0 hours following 300-mg once-daily dosing, indicating AMG 337 absorption soon after treatment. Objective response rate was 9.9% (11/111; 95% CI, 5.1%–17.0%) in all patients and 29.6% (8/27; 95% CI, 13.8%–50.2%) in MET-amplified patients; median (range) duration of response was 202 (51–1,430+) days in all patients and 197 (64–1,430+) days in MET-amplified patients. Conclusions: Oral AMG 337 was tolerated with manageable toxicities, with an MTD and recommended phase II dose of 300 mg once daily. The promising response rate observed in patients with heavily pretreated MET-amplified tumors warrants further investigation. See related commentary by Ma, p. 2375
Comparison of PC and iPad administrations of the Cogstate Brief Battery in the Mayo Clinic Study of Aging: Assessing cross-modality equivalence of computerized neuropsychological tests
Stricker, Nikki H. , Lundt, Emily S. , Edwards, Kelly K., Kremers, Walter K. , Roberts, Rosebud O., Petersen, Ronald C. , Mielke, Michelle M. , Mielke, Michelle M , Kremers, Walter K , Machulda, Mary M. , Knopman, David S. , Stricker, Nikki H , Lundt, Emily S

Mayo Clinic

The Clinical Neuropsychologist | November 10, 2018 | Volume: 33 | Issue: 6 | Pages: 1102-1126

10.1080/13854046.2018.1519085 | PMID 30417735 Get It

RDNA-04. POTENTIAL MECHANISM OF TEMOZOLOMIDE-MEDIATED RADIO-SENSITIZATION IN MGMT HYPERMETHYLATED GLIOBLASTOMA CELLS
Kitange, Gaspar J. , Smith, Emily, Gupta, Shiv K. , Sarkaria, Jann N.

Mayo Clinic

Neuro-Oncology | November 5, 2018 | Volume: 20 | Issue: suppl_6 | Pages: vi222-vi222

10.1093/neuonc/noy148.920 Get It

PATH-26. NEURO-ONCOLOGY NEXT-GENERATION SEQUENCING 219-GENE PANEL FOR COMPREHENSIVE CLINICAL TESTING
Fritcher, Emily Barr, Zysk, Christopher, Voss, Jesse S. , Wu, Xianglin, Klee, Eric W. , Kipp, Benjamin R. , Jenkins, Robert B. , Ida, Cristiane M. , Fritcher, Emily G. Barr , Balan, Jagadheshwar , Kollmeyer, Thomas M. , Raghunathan, Aditya , Giannini, Caterina

Mayo Clinic

Neuro-Oncology | November 5, 2018 | Volume: 20 | Issue: suppl_6 | Pages: vi164-vi164

10.1093/neuonc/noy148.682 Get It

PATH-24. RECURRENT UNUSUAL PATTERNS IN CLINICAL MOLECULAR PROFILING OF ADULT DIFFUSE GLIOMAS
Mendoza, Cinthya Zepeda, Balcom, Jessica R. , Swanson, Kirsten, Fritcher, Emily Barr, Parisi, Joseph E., Jentoft, Mark E. , Kipp, Benjamin R. , Jenkins, Robert B. , Ida, Cristiane M. , Zepeda‐Mendoza, Cinthya , Praska, Corinne , Fritcher, Emily G. Barr , Geiersbach, Katherine B. , Raghunathan, Aditya , Giannini, Caterina

Mayo Clinic

Neuro-Oncology | November 5, 2018 | Volume: 20 | Issue: suppl_6 | Pages: vi163-vi163

10.1093/neuonc/noy148.680 Get It