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Emanuele Mazzola
Researcher at Harvard University
Publications - 71
Citations - 1859
Emanuele Mazzola is an academic researcher from Harvard University. The author has contributed to research in topics: Medicine & Internal medicine. The author has an hindex of 17, co-authored 41 publications receiving 1346 citations. Previous affiliations of Emanuele Mazzola include Polytechnic University of Milan.
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Journal ArticleDOI
Acute myeloid leukemia ontogeny is defined by distinct somatic mutations
R. Coleman Lindsley,Brenton G. Mar,Emanuele Mazzola,Peter V. Grauman,Sarah Shareef,Steven L. Allen,Arnaud Pigneux,Meir Wetzler,Robert K. Stuart,Harry P. Erba,Lloyd E. Damon,Bayard L. Powell,Neal I. Lindeman,David P. Steensma,Martha Wadleigh,Daniel J. DeAngelo,Donna Neuberg,Richard Stone,Benjamin L. Ebert +18 more
TL;DR: Analysis of serial samples from individual patients revealed that the presence of a mutation in SRSF2, SF3B1, U2AF1, ZRSR2, ASXL1, EZH2, BCOR, or STAG2 was >95% specific for the diagnosis of s-AML and highlights a subset of patients with worse clinical outcomes, including a lower complete remission rate, more frequent reinduction, and decreased event-free survival.
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Biophysical determinants for cellular uptake of hydrocarbon-stapled peptide helices
Gregory H. Bird,Emanuele Mazzola,Kwadwo Opoku-Nsiah,Margaret A Lammert,Marina Godes,Donna Neuberg,Loren D. Walensky +6 more
TL;DR: It is found that staple placement at the amphipathic boundary combined with optimal hydrophobic and helical content are the key drivers of cellular uptake, whereas excess hydrophobicity and positive charge at isolated amino acid positions can trigger membrane lysis at elevated peptide dosing.
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Breast cancer risk models: a comprehensive overview of existing models, validation, and clinical applications
Jessica Cintolo-Gonzalez,Danielle Braun,Amanda L. Blackford,Emanuele Mazzola,Ahmet Acar,Jennifer K. Plichta,Molly Griffin,Kevin S. Hughes +7 more
TL;DR: The majority of existing breast cancer risk prediction models are summarized, including the risk factors they incorporate, the basic methodology in their development, the information each provides, their strengths and limitations, relevant validation studies, and how to access each for clinical or investigative purposes are summarized.
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The role of chemoprevention in modifying the risk of breast cancer in women with atypical breast lesions
Suzanne B. Coopey,Emanuele Mazzola,Julliette M. Buckley,John Sharko,Ahmet Korkut Belli,Elizabeth Min Hui Kim,Fernanda Polubriaginof,Giovanni Parmigiani,Judy Garber,Barbara L. Smith,Michele A. Gadd,Michelle C. Specht,Anthony J. Guidi,Constance A. Roche,Kevin S. Hughes +14 more
TL;DR: Physicians should counsel patients with atypical ductal hyperplasia, ALH, LCIS, and severe ADH about the benefit of chemoprevention in decreasing their breast cancer risk.
Journal ArticleDOI
Development and validation of a spontaneous preterm delivery predictor in asymptomatic women.
George R. Saade,Kim A. Boggess,Scott Sullivan,Glenn Markenson,Jay D. Iams,Dean V. Coonrod,Leonardo Pereira,M. Sean Esplin,Larry Cousins,Garrett K. Lam,Matthew K. Hoffman,Robert D. Severinsen,Trina Pugmire,Jeff S. Flick,Angela C. Fox,Amir J. Lueth,Sharon R. Rust,Emanuele Mazzola,ChienTing Hsu,Max T. Dufford,Chad Bradford,Ilia Ichetovkin,Tracey C. Fleischer,Ashoka D. Polpitiya,Gregory C. Critchfield,Paul Kearney,J. Jay Boniface,Durlin E. Hickok +27 more
TL;DR: A serum-based molecular predictor identifies asymptomatic pregnant women atrisk of spontaneous preterm delivery, which may provide utility in identifying women at risk at an early stage of pregnancy to allow for clinical intervention.