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Olivier Elemento
Researcher at Cornell University
Publications - 596
Citations - 38936
Olivier Elemento is an academic researcher from Cornell University. The author has contributed to research in topics: Medicine & Biology. The author has an hindex of 82, co-authored 471 publications receiving 27739 citations. Previous affiliations of Olivier Elemento include Princeton University & Max Planck Society.
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Neoadjuvant durvalumab with or without stereotactic body radiotherapy in patients with early-stage non-small-cell lung cancer: a single-centre, randomised phase 2 trial
Nasser K. Altorki,Timothy E. McGraw,Alain C. Borczuk,Ashish Saxena,Jeffrey L. Port,Brendon M. Stiles,Benjamin Lee,Nicholas J Sanfilippo,Ronald J. Scheff,Bradley B. Pua,James F. Gruden,Paul J. Christos,Cathy F. Spinelli,Joyce Gakuria,Manik Uppal,Bhavneet Binder,Olivier Elemento,Karla V. Ballman,Silvia C. Formenti +18 more
TL;DR: This trial aimed to evaluate the use of stereotactic body radiotherapy in patients with early-stage NSCLC as an immunomodulator to enhance the anti-tumour immune response associated with theAnti-PD-L1 antibody durvalumab.
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A Panel of Four miRNAs Accurately Differentiates Malignant from Benign Indeterminate Thyroid Lesions on Fine Needle Aspiration
Xavier M. Keutgen,Filippo Filicori,Michael J. Crowley,Yongchun Wang,Theresa Scognamiglio,Rana S. Hoda,Daniel Buitrago,David S. Cooper,Martha A. Zeiger,Rasa Zarnegar,Olivier Elemento,Thomas J. Fahey +11 more
TL;DR: It is suggested that FNA miRNA analysis could be a useful adjunct in the management algorithm of patients with thyroid nodules, and its prognostic effects on final pathologic diagnosis are determined.
Journal ArticleDOI
A Predictive Model for Selective Targeting of the Warburg Effect through GAPDH Inhibition with a Natural Product
Maria V. Liberti,Maria V. Liberti,Ziwei Dai,Suzanne E. Wardell,Joshua A. Baccile,Xiaojing Liu,Xia Gao,Robert Baldi,Mahya Mehrmohamadi,Mahya Mehrmohamadi,Marc O. Johnson,Neel Madhukar,Alexander A. Shestov,Iok In Christine Chio,Olivier Elemento,Jeffrey C. Rathmell,Frank C. Schroeder,Donald P. McDonnell,Jason W. Locasale +18 more
TL;DR: It is shown that differences in rate-controlling enzymes during the Warburg effect (THE AUTHORS), the most prominent hallmark of cancer cell metabolism, can be used to predict a response to targeting glucose metabolism, and establishes a natural product, koningic acid, to be a selective inhibitor of GAPDH.
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A Hybrid Mechanism of Action for BCL6 in B Cells Defined by Formation of Functionally Distinct Complexes at Enhancers and Promoters
Katerina Hatzi,Yanwen Jiang,Chuanxin Huang,Francine E. Garrett-Bakelman,Micah D. Gearhart,Eugenia G. Giannopoulou,Paul Zumbo,Kevin N. Kirouac,Srividya Bhaskara,Jose M. Polo,Matthias Kormaksson,Alexander D. MacKerell,Fengtian Xue,Christopher E. Mason,Scott W. Hiebert,Gilbert G. Privé,Leandro Cerchietti,Vivian J. Bardwell,Olivier Elemento,Ari Melnick +19 more
TL;DR: It is found that in B cells, BCL6 mostly functions through two independent mechanisms that are collectively essential to GC formation and DLBCL, both mediated through its N-terminal BTB domain.
Journal ArticleDOI
A Bayesian machine learning approach for drug target identification using diverse data types
Neel Madhukar,Prashant K. Khade,Linda Huang,Kaitlyn Gayvert,Giuseppe Galletti,Martin Stogniew,Joshua E. Allen,Paraskevi Giannakakou,Olivier Elemento +8 more
TL;DR: A Bayesian machine learning framework that integrates multiple data types to predict the targets of small molecules is introduced, enabling identification of a new set of microtubule inhibitors and the target of the anti-cancer molecule ONC201.