V
Valerie Speirs
Researcher at University of Aberdeen
Publications - 252
Citations - 9844
Valerie Speirs is an academic researcher from University of Aberdeen. The author has contributed to research in topics: Breast cancer & Cancer. The author has an hindex of 48, co-authored 240 publications receiving 8729 citations. Previous affiliations of Valerie Speirs include The Breast Cancer Research Foundation & Leeds General Infirmary.
Papers
More filters
Journal ArticleDOI
Choosing the right cell line for breast cancer research
TL;DR: The issues surrounding the use of breast cancer cell lines as experimental models are discussed, in light of these revised clinical classifications, and suggestions for improving their use in translational breast cancer research are put forward.
Journal ArticleDOI
Critical research gaps and translational priorities for the successful prevention and treatment of breast cancer.
Suzanne A. Eccles,Eric O. Aboagye,Simak Ali,Annie S. Anderson,Jo Armes,Fedor Berditchevski,Jeremy P. Blaydes,Keith Brennan,Nicola J. Brown,Helen E. Bryant,Nigel J Bundred,Joy Burchell,Anna Campbell,Jason S. Carroll,Robert Clarke,Charlotte E. Coles,Gary Cook,Angela Cox,Nicola J. Curtin,Lodewijk V. Dekker,Isabel dos Santos Silva,Stephen W. Duffy,Douglas F. Easton,Diana Eccles,Dylan R. Edwards,Joanne Edwards,D. G. R. Evans,Deborah Fenlon,James M. Flanagan,Claire Foster,William M. Gallagher,Montserrat Garcia-Closas,Julia Margaret Wendy Gee,Andy J. Gescher,Vicky Goh,Ashley M. Groves,Amanda J. Harvey,Michelle Harvie,Bryan T. Hennessy,Stephen Edward Hiscox,Ingunn Holen,Sacha J Howell,Anthony Howell,Gill Hubbard,Nicholas J. Hulbert-Williams,Myra S. Hunter,Bharat Jasani,Louise J. Jones,Timothy J. Key,Cliona C. Kirwan,Anthony Kong,Ian Kunkler,Simon P. Langdon,Martin O. Leach,David J. Mann,John Marshall,Lesley Ann Martin,Stewart G. Martin,Jennifer E. Macdougall,David Miles,William R. Miller,Joanna R. Morris,Sue Moss,Paul B. Mullan,Rachel Natrajan,James P B O'Connor,Rosemary O'Connor,Carlo Palmieri,Paul D.P. Pharoah,Emad A. Rakha,Elizabeth Reed,Simon P. Robinson,Erik Sahai,John M. Saxton,Peter Schmid,Matthew J. Smalley,Valerie Speirs,Robert Stein,John Stingl,Charles H. Streuli,Andrew Tutt,Galina Velikova,Rosemary A. Walker,Christine J. Watson,Kaye J. Williams,Leonie S. Young,Alastair M. Thompson +86 more
TL;DR: With resources to conduct further high-quality targeted research focusing on the gaps identified, increased knowledge translating into improved clinical care should be achievable within five years.
Journal ArticleDOI
Comparison of microfluidic digital PCR and conventional quantitative PCR for measuring copy number variation
Alexandra S. Whale,Jim F. Huggett,Simon Cowen,Valerie Speirs,Jacqui Shaw,Stephen L. R. Ellison,Carole A. Foy,Daniel J. Scott +7 more
TL;DR: To investigate the potential precision of dPCR and compare it with the established technique of quantitative PCR, this work used breast cancer cell lines to investigate HER2 gene amplification and modelled a range of different CNVs to show that, with equal experimental replication,dPCR could measure a smaller CNV than qPCR.
Journal ArticleDOI
Breast cancer cell lines: friend or foe?
TL;DR: The pros and cons of using established breast cancer cell lines as in vitro models and cultures established from primary breast tumours in translational breast cancer research are discussed.
Journal ArticleDOI
Pan-cancer image-based detection of clinically actionable genetic alterations
Jakob Nikolas Kather,Jakob Nikolas Kather,Lara R. Heij,Lara R. Heij,Heike I. Grabsch,Heike I. Grabsch,Chiara Loeffler,Amelie Echle,Hannah Sophie Muti,Jeremias Krause,Jan M. Niehues,Kai A. J. Sommer,Peter Bankhead,Loes F. S. Kooreman,Jefree J. Schulte,Nicole A. Cipriani,Roman D. Buelow,Peter Boor,Nadina Ortiz-Brüchle,Andrew M. Hanby,Valerie Speirs,Sara Kochanny,Akash Patnaik,Andrew Srisuwananukorn,Hermann Brenner,Michael Hoffmeister,Piet A. van den Brandt,Dirk Jäger,Christian Trautwein,Alexander T. Pearson,Tom Luedde +30 more
TL;DR: The findings show that a single deep learning algorithm can be trained to predict a wide range of molecular alterations from routine, paraffin-embedded histology slides stained with hematoxylin and eosin.