H
Hugues Sicotte
Researcher at Mayo Clinic
Publications - 67
Citations - 4622
Hugues Sicotte is an academic researcher from Mayo Clinic. The author has contributed to research in topics: Cancer & Genome-wide association study. The author has an hindex of 27, co-authored 63 publications receiving 3692 citations. Previous affiliations of Hugues Sicotte include University of Rochester.
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Journal ArticleDOI
Glioma Groups Based on 1p/19q, IDH, and TERT Promoter Mutations in Tumors
Jeanette E. Eckel-Passow,Daniel H. Lachance,Annette M. Molinaro,Kyle M. Walsh,Paul A. Decker,Hugues Sicotte,Melike Pekmezci,Terri Rice,Matt L. Kosel,Ivan Smirnov,Gobinda Sarkar,Alissa Caron,Thomas M. Kollmeyer,Corinne Praska,Anisha R. Chada,Chandralekha Halder,Helen M. Hansen,Lucie McCoy,Paige M. Bracci,Roxanne Marshall,Shichun Zheng,Gerald F. Reis,Alexander R. Pico,Brian P. O'Neill,Jan C. Buckner,Caterina Giannini,Jason T. Huse,Arie Perry,Tarik Tihan,Mitchell S. Berger,Susan M. Chang,Michael D. Prados,Joseph L. Wiemels,John K. Wiencke,Margaret Wrensch,Robert B. Jenkins +35 more
TL;DR: The five glioma molecular groups had different ages at onset, overall survival, and associations with germline variants, which implies that they are characterized by distinct mechanisms of pathogenesis.
Journal ArticleDOI
MAP-RSeq: Mayo Analysis Pipeline for RNA sequencing
Krishna R. Kalari,Asha Nair,Jaysheel D. Bhavsar,Daniel R. O'Brien,Jaime I. Davila,Matthew A. Bockol,Jinfu J. Nie,Xiaojia Tang,Saurabh Baheti,Jay B. Doughty,Sumit Middha,Hugues Sicotte,E. Aubrey Thompson,Yan W. Asmann,Jean-Pierre A. Kocher +14 more
TL;DR: The developed MAP-RSeq workflow is a comprehensive computational workflow that can be used for obtaining genomic features from transcriptomic sequencing data, for any genome, and has thus far enabled clinicians and researchers to understand the transcriptomic landscape of diseases for better diagnosis and treatment of patients.
Journal ArticleDOI
Genome-wide association study of glioma subtypes identifies specific differences in genetic susceptibility to glioblastoma and non-glioblastoma tumors
Beatrice Melin,Jill S. Barnholtz-Sloan,Margaret Wrensch,Christoffer Johansen,Dora Il'yasova,Dora Il'yasova,Ben Kinnersley,Quinn T. Ostrom,Karim Labreche,Karim Labreche,Yanwen Chen,Georgina Armstrong,Yanhong Liu,Jeanette E. Eckel-Passow,Paul A. Decker,Marianne Labussière,Ahmed Idbaih,Khê Hoang-Xuan,Anna Luisa Di Stefano,Karima Mokhtari,Jean-Yves Delattre,Peter Broderick,Pilar Galan,Konstantinos Gousias,Johannes Schramm,Minouk J. Schoemaker,Sarah Fleming,Stefan Herms,Stefanie Heilmann,Markus M. Nöthen,Heinz-Erich Wichmann,Heinz-Erich Wichmann,Stefan Schreiber,Anthony J. Swerdlow,Anthony J. Swerdlow,Mark Lathrop,Matthias Simon,Marc Sanson,Ulrika Andersson,Preetha Rajaraman,Stephen J. Chanock,Martha S. Linet,Zhaoming Wang,Meredith Yeager,John K. Wiencke,Helen M. Hansen,Lucie McCoy,Terri Rice,Matthew L. Kosel,Hugues Sicotte,Christopher I. Amos,Jonine L. Bernstein,Faith G. Davis,Dan Lachance,Ching C. Lau,Ryan Merrell,Joellen Shildkraut,Francis Ali-Osman,Siegal Sadetzki,Siegal Sadetzki,Michael E. Scheurer,Sanjay Shete,Rose Lai,Elizabeth B. Claus,Elizabeth B. Claus,Sara H. Olson,Robert B. Jenkins,Richard S. Houlston,Melissa L. Bondy +68 more
TL;DR: A meta-analysis of existing GWAS and two new GWAS substantiate that genetic susceptibility to GBM and non-GBM tumors are highly distinct, which likely reflects different etiology.
Journal ArticleDOI
Adult infiltrating gliomas with WHO 2016 integrated diagnosis: additional prognostic roles of ATRX and TERT.
Melike Pekmezci,Terri Rice,Annette M. Molinaro,Kyle M. Walsh,Paul A. Decker,Helen M. Hansen,Hugues Sicotte,Thomas M. Kollmeyer,Lucie McCoy,Gobinda Sarkar,Arie Perry,Caterina Giannini,Tarik Tihan,Mitchel S. Berger,Joseph L. Wiemels,Paige M. Bracci,Jeanette E. Eckel-Passow,Daniel H. Lachance,Jennifer Leigh Clarke,Jennie Taylor,Tracy Luks,John K. Wiencke,Robert B. Jenkins,Margaret Wrensch +23 more
TL;DR: Evidence is presented that in certain WHO 2016 diagnostic groups, testing for TERT promoter mutations or ATRX alterations may provide additional useful prognostic information.
Journal ArticleDOI
Radiogenomics to characterize regional genetic heterogeneity in glioblastoma
Leland S. Hu,Leland S. Hu,Shuluo Ning,Jennifer M. Eschbacher,Leslie C. Baxter,Nathan Gaw,Sara Ranjbar,Jonathan D. Plasencia,Amylou C. Dueck,Sen Peng,Kris A. Smith,Peter Nakaji,John P. Karis,C. Chad Quarles,Teresa Wu,Teresa Wu,Joseph C. Loftus,Robert B. Jenkins,Hugues Sicotte,Thomas M. Kollmeyer,Brian P. O'Neill,William F. Elmquist,Joseph M. Hoxworth,David H. Frakes,Jann N. Sarkaria,Kristin R. Swanson,Nhan L. Tran,Jing Li,J. Ross Mitchell,J. Ross Mitchell +29 more
TL;DR: MRI and texture analysis can help characterize regional genetic heterogeneity, which offers potential diagnostic value under the paradigm of individualized oncology.