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287


Delineation of MGMT promoter hypermethylation as a predictive biomarker for the A071102 clinical trial of veliparib combined with temozolomide (TMZ) using patient-derived xenograft (PDX) GBM models. [Meeting Abstract]

Sarkaria, Jann Nagina; Gupta, Shiv; Kizilbash, Sani Haider; Carlson, Brett; Mladek, Ann; Bakken, Katrina; Schroeder, Mark A.; Decker, Paul A.; Sulman, Erik P.; Eckel-Passow, Jeanette; Kitange, Gaspar; Jenkins, Robert B.
ISI:000358036900510
ISSN: 0732-183x
CID: 3048622

A novel gene fusion in glioblastoma and a radiation response methylation signature identified by genomic characterization of glioma sphere-forming cells [Meeting Abstract]

Wang, Qianghu; Ezhilarasan, Ravesanker; Goodman, Lindsey D.; Gumin, Joy; Zheng, Siyuan; Yoshihara, Kosuke; Sun, Peng; Yang, Jie; Heffernar, Tim; Draetta, Giulio; Aldape, Kenneth D.; Lang, Frederick F.; Verhaak, Roel G. W.; Sulman, Erik P.
ISI:000371597104420
ISSN: 0008-5472
CID: 3048652

Comprehensive, Integrative Genomic Analysis of Diffuse Lower-Grade Gliomas

Brat, Daniel J; Verhaak, Roel G W; Aldape, Kenneth D; Yung, W K Alfred; Salama, Sofie R; Cooper, Lee A D; Rheinbay, Esther; Miller, C Ryan; Vitucci, Mark; Morozova, Olena; Robertson, A Gordon; Noushmehr, Houtan; Laird, Peter W; Cherniack, Andrew D; Akbani, Rehan; Huse, Jason T; Ciriello, Giovanni; Poisson, Laila M; Barnholtz-Sloan, Jill S; Berger, Mitchel S; Brennan, Cameron; Colen, Rivka R; Colman, Howard; Flanders, Adam E; Giannini, Caterina; Grifford, Mia; Iavarone, Antonio; Jain, Rajan; Joseph, Isaac; Kim, Jaegil; Kasaian, Katayoon; Mikkelsen, Tom; Murray, Bradley A; O'Neill, Brian Patrick; Pachter, Lior; Parsons, Donald W; Sougnez, Carrie; Sulman, Erik P; Vandenberg, Scott R; Van Meir, Erwin G; von Deimling, Andreas; Zhang, Hailei; Crain, Daniel; Lau, Kevin; Mallery, David; Morris, Scott; Paulauskis, Joseph; Penny, Robert; Shelton, Troy; Sherman, Mark; Yena, Peggy; Black, Aaron; Bowen, Jay; Dicostanzo, Katie; Gastier-Foster, Julie; Leraas, Kristen M; Lichtenberg, Tara M; Pierson, Christopher R; Ramirez, Nilsa C; Taylor, Cynthia; Weaver, Stephanie; Wise, Lisa; Zmuda, Erik; Davidsen, Tanja; Demchok, John A; Eley, Greg; Ferguson, Martin L; Hutter, Carolyn M; Mills Shaw, Kenna R; Ozenberger, Bradley A; Sheth, Margi; Sofia, Heidi J; Tarnuzzer, Roy; Wang, Zhining; Yang, Liming; Zenklusen, Jean Claude; Ayala, Brenda; Baboud, Julien; Chudamani, Sudha; Jensen, Mark A; Liu, Jia; Pihl, Todd; Raman, Rohini; Wan, Yunhu; Wu, Ye; Ally, Adrian; Auman, J Todd; Balasundaram, Miruna; Balu, Saianand; Baylin, Stephen B; Beroukhim, Rameen; Bootwalla, Moiz S; Bowlby, Reanne; Bristow, Christopher A; Brooks, Denise; Butterfield, Yaron; Carlsen, Rebecca; Carter, Scott; Chin, Lynda; Chu, Andy; Chuah, Eric; Cibulskis, Kristian; Clarke, Amanda; Coetzee, Simon G; Dhalla, Noreen; Fennell, Tim; Fisher, Sheila; Gabriel, Stacey; Getz, Gad; Gibbs, Richard; Guin, Ranabir; Hadjipanayis, Angela; Hayes, D Neil; Hinoue, Toshinori; Hoadley, Katherine; Holt, Robert A; Hoyle, Alan P; Jefferys, Stuart R; Jones, Steven; Jones, Corbin D; Kucherlapati, Raju; Lai, Phillip H; Lander, Eric; Lee, Semin; Lichtenstein, Lee; Ma, Yussanne; Maglinte, Dennis T; Mahadeshwar, Harshad S; Marra, Marco A; Mayo, Michael; Meng, Shaowu; Meyerson, Matthew L; Mieczkowski, Piotr A; Moore, Richard A; Mose, Lisle E; Mungall, Andrew J; Pantazi, Angeliki; Parfenov, Michael; Park, Peter J; Parker, Joel S; Perou, Charles M; Protopopov, Alexei; Ren, Xiaojia; Roach, Jeffrey; Sabedot, Thais S; Schein, Jacqueline; Schumacher, Steven E; Seidman, Jonathan G; Seth, Sahil; Shen, Hui; Simons, Janae V; Sipahimalani, Payal; Soloway, Matthew G; Song, Xingzhi; Sun, Huandong; Tabak, Barbara; Tam, Angela; Tan, Donghui; Tang, Jiabin; Thiessen, Nina; Triche, Timothy Jr; Van Den Berg, David J; Veluvolu, Umadevi; Waring, Scot; Weisenberger, Daniel J; Wilkerson, Matthew D; Wong, Tina; Wu, Junyuan; Xi, Liu; Xu, Andrew W; Yang, Lixing; Zack, Travis I; Zhang, Jianhua; Aksoy, B Arman; Arachchi, Harindra; Benz, Chris; Bernard, Brady; Carlin, Daniel; Cho, Juok; DiCara, Daniel; Frazer, Scott; Fuller, Gregory N; Gao, JianJiong; Gehlenborg, Nils; Haussler, David; Heiman, David I; Iype, Lisa; Jacobsen, Anders; Ju, Zhenlin; Katzman, Sol; Kim, Hoon; Knijnenburg, Theo; Kreisberg, Richard Bailey; Lawrence, Michael S; Lee, William; Leinonen, Kalle; Lin, Pei; Ling, Shiyun; Liu, Wenbin; Liu, Yingchun; Liu, Yuexin; Lu, Yiling; Mills, Gordon; Ng, Sam; Noble, Michael S; Paull, Evan; Rao, Arvind; Reynolds, Sheila; Saksena, Gordon; Sanborn, Zack; Sander, Chris; Schultz, Nikolaus; Senbabaoglu, Yasin; Shen, Ronglai; Shmulevich, Ilya; Sinha, Rileen; Stuart, Josh; Sumer, S Onur; Sun, Yichao; Tasman, Natalie; Taylor, Barry S; Voet, Doug; Weinhold, Nils; Weinstein, John N; Yang, Da; Yoshihara, Kosuke; Zheng, Siyuan; Zhang, Wei; Zou, Lihua; Abel, Ty; Sadeghi, Sara; Cohen, Mark L; Eschbacher, Jenny; Hattab, Eyas M; Raghunathan, Aditya; Schniederjan, Matthew J; Aziz, Dina; Barnett, Gene; Barrett, Wendi; Bigner, Darell D; Boice, Lori; Brewer, Cathy; Calatozzolo, Chiara; Campos, Benito; Carlotti, Carlos Gilberto Jr; Chan, Timothy A; Cuppini, Lucia; Curley, Erin; Cuzzubbo, Stefania; Devine, Karen; DiMeco, Francesco; Duell, Rebecca; Elder, J Bradley; Fehrenbach, Ashley; Finocchiaro, Gaetano; Friedman, William; Fulop, Jordonna; Gardner, Johanna; Hermes, Beth; Herold-Mende, Christel; Jungk, Christine; Kendler, Ady; Lehman, Norman L; Lipp, Eric; Liu, Ouida; Mandt, Randy; McGraw, Mary; Mclendon, Roger; McPherson, Christopher; Neder, Luciano; Nguyen, Phuong; Noss, Ardene; Nunziata, Raffaele; Ostrom, Quinn T; Palmer, Cheryl; Perin, Alessandro; Pollo, Bianca; Potapov, Alexander; Potapova, Olga; Rathmell, W Kimryn; Rotin, Daniil; Scarpace, Lisa; Schilero, Cathy; Senecal, Kelly; Shimmel, Kristen; Shurkhay, Vsevolod; Sifri, Suzanne; Singh, Rosy; Sloan, Andrew E; Smolenski, Kathy; Staugaitis, Susan M; Steele, Ruth; Thorne, Leigh; Tirapelli, Daniela P C; Unterberg, Andreas; Vallurupalli, Mahitha; Wang, Yun; Warnick, Ronald; Williams, Felicia; Wolinsky, Yingli; Bell, Sue; Rosenberg, Mara; Stewart, Chip; Huang, Franklin; Grimsby, Jonna L; Radenbaugh, Amie J; Zhang, Jianan
BACKGROUND: Diffuse low-grade and intermediate-grade gliomas (which together make up the lower-grade gliomas, World Health Organization grades II and III) have highly variable clinical behavior that is not adequately predicted on the basis of histologic class. Some are indolent; others quickly progress to glioblastoma. The uncertainty is compounded by interobserver variability in histologic diagnosis. Mutations in IDH, TP53, and ATRX and codeletion of chromosome arms 1p and 19q (1p/19q codeletion) have been implicated as clinically relevant markers of lower-grade gliomas. METHODS: We performed genomewide analyses of 293 lower-grade gliomas from adults, incorporating exome sequence, DNA copy number, DNA methylation, messenger RNA expression, microRNA expression, and targeted protein expression. These data were integrated and tested for correlation with clinical outcomes. RESULTS: Unsupervised clustering of mutations and data from RNA, DNA-copy-number, and DNA-methylation platforms uncovered concordant classification of three robust, nonoverlapping, prognostically significant subtypes of lower-grade glioma that were captured more accurately by IDH, 1p/19q, and TP53 status than by histologic class. Patients who had lower-grade gliomas with an IDH mutation and 1p/19q codeletion had the most favorable clinical outcomes. Their gliomas harbored mutations in CIC, FUBP1, NOTCH1, and the TERT promoter. Nearly all lower-grade gliomas with IDH mutations and no 1p/19q codeletion had mutations in TP53 (94%) and ATRX inactivation (86%). The large majority of lower-grade gliomas without an IDH mutation had genomic aberrations and clinical behavior strikingly similar to those found in primary glioblastoma. CONCLUSIONS: The integration of genomewide data from multiple platforms delineated three molecular classes of lower-grade gliomas that were more concordant with IDH, 1p/19q, and TP53 status than with histologic class. Lower-grade gliomas with an IDH mutation either had 1p/19q codeletion or carried a TP53 mutation. Most lower-grade gliomas without an IDH mutation were molecularly and clinically similar to glioblastoma. (Funded by the National Institutes of Health.).
PMCID:4530011
PMID: 26061751
ISSN: 1533-4406
CID: 1685142

Use of ENCODE Resources to Characterize Novel Proteoforms and Missing Proteins in the Human Proteome

Nilsson, Carol L; Mostovenko, Ekaterina; Lichti, Cheryl F; Ruggles, Kelly; Fenyo, David; Rosenbloom, Kate R; Hancock, William S; Paik, Young-Ki; Omenn, Gilbert S; LaBaer, Joshua; Kroes, Roger A; Uhlen, Mathias; Hober, Sophia; Vegvari, Akos; Andren, Per E; Sulman, Erik P; Lang, Frederick F; Fuentes, Manuel; Carlsohn, Elisabet; Emmett, Mark R; Moskal, Joseph R; Berven, Frode S; Fehniger, Thomas E; Marko-Varga, Gyorgy
We describe integrated strategies that employ both translation of ENCODE data and major proteomic technology pillars to improve the identification of the missing proteins, protein isoforms, and PTMs. The results from proteoENCODEdb searches with experimental mass spectral data indicate that some novel splice forms detected at the transcript level are in fact translated to proteins. Our results provide a step toward the directives of the C-HPP initiative and related biomedical research.
PMID: 25369122
ISSN: 1535-3893
CID: 1341102

Retraction: Novel HSP90 inhibitor NVP-HSP990 targets cell-cycle regulators to ablate Olig 2-positive glioma tumor-initiating cells [Correction]

Koul, Dimpy; Yao, Jun; Wan, Shuzhen; Yuan, Ying; Sulman, Erik; Lang, Frederick; Yung, W K Alfred; Colman, Howard
PMID: 25398854
ISSN: 1538-7445
CID: 3629552

A high Notch pathway activation predicts response to γ secretase inhibitors in proneural subtype of glioma tumor-initiating cells

Saito, Norihiko; Fu, Jun; Zheng, Siyuan; Yao, Jun; Wang, Shuzhen; Liu, Diane D; Yuan, Ying; Sulman, Erik P; Lang, Frederick F; Colman, Howard; Verhaak, Roel G; Yung, W K Alfred; Koul, Dimpy
Genomic, transcriptional, and proteomic analyses of brain tumors reveal subtypes that differ in pathway activity, progression, and response to therapy. However, a number of small molecule inhibitors under development vary in strength of subset and pathway-specificity, with molecularly targeted experimental agents tending toward stronger specificity. The Notch signaling pathway is an evolutionarily conserved pathway that plays an important role in multiple cellular and developmental processes. We investigated the effects of Notch pathway inhibition in glioma tumor-initiating cell (GIC, hereafter GIC) populations using γ secretase inhibitors. Drug cytotoxicity testing of 16 GICs showed differential growth responses to the inhibitors, stratifying GICs into responders and nonresponders. Responder GICs had an enriched proneural gene signature in comparison to nonresponders. Also gene set enrichment analysis revealed 17 genes set representing active Notch signaling components NOTCH1, NOTCH3, HES1, MAML1, DLL-3, JAG2, and so on, enriched in responder group. Analysis of The Cancer Genome Atlas expression dataset identified a group (43.9%) of tumors with proneural signature showing high Notch pathway activation suggesting γ secretase inhibitors might be of potential value to treat that particular group of proneural glioblastoma (GBM). Inhibition of Notch pathway by γ secretase inhibitor treatment attenuated proliferation and self-renewal of responder GICs and induces both neuronal and astrocytic differentiation. In vivo evaluation demonstrated prolongation of median survival in an intracranial mouse model. Our results suggest that proneural GBM characterized by high Notch pathway activation may exhibit greater sensitivity to γ secretase inhibitor treatment, holding a promise to improve the efficiency of current glioma therapy.
PMCID:3947402
PMID: 24038660
ISSN: 1549-4918
CID: 3047802

IDH1 mutant malignant astrocytomas are more amenable to surgical resection and have a survival benefit associated with maximal surgical resection

Beiko, Jason; Suki, Dima; Hess, Kenneth R; Fox, Benjamin D; Cheung, Vincent; Cabral, Matthew; Shonka, Nicole; Gilbert, Mark R; Sawaya, Raymond; Prabhu, Sujit S; Weinberg, Jeffrey; Lang, Frederick F; Aldape, Kenneth D; Sulman, Erik P; Rao, Ganesh; McCutcheon, Ian E; Cahill, Daniel P
BACKGROUND:IDH1 gene mutations identify gliomas with a distinct molecular evolutionary origin. We sought to determine the impact of surgical resection on survival after controlling for IDH1 status in malignant astrocytomas-World Health Organization grade III anaplastic astrocytomas and grade IV glioblastoma. METHODS:Clinical parameters including volumetric assessment of preoperative and postoperative MRI were recorded prospectively on 335 malignant astrocytoma patients: n = 128 anaplastic astrocytomas and n = 207 glioblastoma. IDH1 status was assessed by sequencing and immunohistochemistry. RESULTS:IDH1 mutation was independently associated with complete resection of enhancing disease (93% complete resections among mutants vs 67% among wild-type, P < .001), indicating IDH1 mutant gliomas were more amenable to resection. The impact of residual tumor on survival differed between IDH1 wild-type and mutant tumors. Complete resection of enhancing disease among IDH1 wild-type tumors was associated with a median survival of 19.6 months versus 10.7 months for incomplete resection; however, no survival benefit was observed in association with further resection of nonenhancing disease (minimization of total tumor volume). In contrast, IDH1 mutants displayed an additional survival benefit associated with maximal resection of total tumor volume (median survival 9.75 y for >5 cc residual vs not reached for <5 cc, P = .025). CONCLUSIONS:The survival benefit associated with surgical resection differs based on IDH1 genotype in malignant astrocytic gliomas. Therapeutic benefit from maximal surgical resection, including both enhancing and nonenhancing tumor, may contribute to the better prognosis observed in the IDH1 mutant subgroup. Thus, individualized surgical strategies for malignant astrocytoma may be considered based on IDH1 status.
PMCID:3870823
PMID: 24305719
ISSN: 1523-5866
CID: 3047812

Dosimetric predictors of duodenal toxicity after intensity modulated radiation therapy for treatment of the para-aortic nodes in gynecologic cancer

Verma, Jonathan; Sulman, Erik P; Jhingran, Anuja; Tucker, Susan L; Rauch, Gaiane M; Eifel, Patricia J; Klopp, Ann H
PURPOSE/OBJECTIVE:To determine the incidence of duodenal toxicity in patients receiving intensity modulated radiation therapy (IMRT) for treatment of para-aortic nodes and to identify dosimetric parameters predictive of late duodenal toxicity. METHODS AND MATERIALS/METHODS:We identified 105 eligible patients with gynecologic malignancies who were treated with IMRT for gross metastatic disease in the para-aortic nodes from January 1, 2005, through December 31, 2009. Patients were treated to a nodal clinical target volume to 45 to 50.4 Gy with a boost to 60 to 66 Gy. The duodenum was contoured, and dosimetric data were exported for analysis. Duodenal toxicity was scored according to Radiation Therapy Oncology Group criteria. Univariate Cox proportional hazards analysis and recursive partitioning analysis were used to determine associations between dosimetric variables and time to toxicity and to identify the optimal threshold that separated patients according to risk of toxicity. RESULTS:Nine of the 105 patients experienced grade 2 to grade 5 duodenal toxicity, confirmed by endoscopy in all cases. The 3-year actuarial rate of any duodenal toxicity was 11.7%. A larger volume of the duodenum receiving 55 Gy (V55) was associated with higher rates of duodenal toxicity. The 3-year actuarial rates of duodenal toxicity with V55 above and below 15 cm(3) were 48.6% and 7.4%, respectively (P<.01). In Cox univariate analysis of dosimetric variables, V55 was associated with duodenal toxicity (P=.029). In recursive partitioning analysis, V55 less than 13.94% segregated all patients with duodenal toxicity. CONCLUSIONS:Dose-escalated IMRT can safely and effectively treat para-aortic nodal disease in gynecologic malignancies, provided that care is taken to limit the dose to the duodenum to reduce the risk of late duodenal toxicity. Limiting V55 to below 15 cm(3) may reduce the risk of duodenal complications. In cases where the treatment cannot be delivered within these constraints, consideration should be given to other treatment approaches such as resection or initial chemotherapy.
PMID: 24411609
ISSN: 1879-355x
CID: 3047822

Bevacizumab for newly diagnosed glioblastoma [Letter]

Gilbert, Mark R; Sulman, Erik P; Mehta, Minesh P
PMID: 24849088
ISSN: 1533-4406
CID: 3047852

A randomized trial of bevacizumab for newly diagnosed glioblastoma

Gilbert, Mark R; Dignam, James J; Armstrong, Terri S; Wefel, Jeffrey S; Blumenthal, Deborah T; Vogelbaum, Michael A; Colman, Howard; Chakravarti, Arnab; Pugh, Stephanie; Won, Minhee; Jeraj, Robert; Brown, Paul D; Jaeckle, Kurt A; Schiff, David; Stieber, Volker W; Brachman, David G; Werner-Wasik, Maria; Tremont-Lukats, Ivo W; Sulman, Erik P; Aldape, Kenneth D; Curran, Walter J; Mehta, Minesh P
BACKGROUND:Concurrent treatment with temozolomide and radiotherapy followed by maintenance temozolomide is the standard of care for patients with newly diagnosed glioblastoma. Bevacizumab, a humanized monoclonal antibody against vascular endothelial growth factor A, is currently approved for recurrent glioblastoma. Whether the addition of bevacizumab would improve survival among patients with newly diagnosed glioblastoma is not known. METHODS:In this randomized, double-blind, placebo-controlled trial, we treated adults who had centrally confirmed glioblastoma with radiotherapy (60 Gy) and daily temozolomide. Treatment with bevacizumab or placebo began during week 4 of radiotherapy and was continued for up to 12 cycles of maintenance chemotherapy. At disease progression, the assigned treatment was revealed, and bevacizumab therapy could be initiated or continued. The trial was designed to detect a 25% reduction in the risk of death and a 30% reduction in the risk of progression or death, the two coprimary end points, with the addition of bevacizumab. RESULTS:A total of 978 patients were registered, and 637 underwent randomization. There was no significant difference in the duration of overall survival between the bevacizumab group and the placebo group (median, 15.7 and 16.1 months, respectively; hazard ratio for death in the bevacizumab group, 1.13). Progression-free survival was longer in the bevacizumab group (10.7 months vs. 7.3 months; hazard ratio for progression or death, 0.79). There were modest increases in rates of hypertension, thromboembolic events, intestinal perforation, and neutropenia in the bevacizumab group. Over time, an increased symptom burden, a worse quality of life, and a decline in neurocognitive function were more frequent in the bevacizumab group. CONCLUSIONS:First-line use of bevacizumab did not improve overall survival in patients with newly diagnosed glioblastoma. Progression-free survival was prolonged but did not reach the prespecified improvement target. (Funded by the National Cancer Institute; ClinicalTrials.gov number, NCT00884741.).
PMCID:4201043
PMID: 24552317
ISSN: 1533-4406
CID: 3047832