Nature Communications (Nov 2017)
Germline variation in ADAMTSL1 is associated with prognosis following breast cancer treatment in young women
- Latha Kadalayil,
- Sofia Khan,
- Heli Nevanlinna,
- Peter A. Fasching,
- Fergus J. Couch,
- John L. Hopper,
- Jianjun Liu,
- Tom Maishman,
- Lorraine Durcan,
- Sue Gerty,
- Carl Blomqvist,
- Brigitte Rack,
- Wolfgang Janni,
- Andrew Collins,
- Diana Eccles,
- William Tapper
Affiliations
- Latha Kadalayil
- Genetic Epidemiology and Bioinformatics Research Group, Human Development and Health Academic Unit, Faculty of Medicine, Duthie Building (MP 808), University of Southampton, Southampton General Hospital
- Sofia Khan
- Department of Obstetrics and Gynaecology, University of Helsinki and Helsinki University Hospital
- Heli Nevanlinna
- Department of Obstetrics and Gynaecology, University of Helsinki and Helsinki University Hospital
- Peter A. Fasching
- University Breast Center Franconia, Department of Gynaecology and Obstetrics, University Hospital Erlangen, Friedrich-Alexander University Erlangen-Nuremberg, Comprehensive Cancer Center Erlangen-EMN
- Fergus J. Couch
- Department of Laboratory Medicine and Pathology, Mayo Clinic
- John L. Hopper
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne
- Jianjun Liu
- Human Genetics, Genome Institute of Singapore
- Tom Maishman
- Southampton Clinical Trials Unit, University of Southampton and University Hospital Southampton NHS Foundation Trust
- Lorraine Durcan
- Southampton Clinical Trials Unit, University of Southampton and University Hospital Southampton NHS Foundation Trust
- Sue Gerty
- Southampton Clinical Trials Unit, University of Southampton and University Hospital Southampton NHS Foundation Trust
- Carl Blomqvist
- Department of Oncology, Helsinki University Central Hospital
- Brigitte Rack
- Department of Gynecology and Obstetrics, University Ulm, Prittwitzstrasse 43
- Wolfgang Janni
- Department of Gynecology and Obstetrics, University Ulm, Prittwitzstrasse 43
- Andrew Collins
- Genetic Epidemiology and Bioinformatics Research Group, Human Development and Health Academic Unit, Faculty of Medicine, Duthie Building (MP 808), University of Southampton, Southampton General Hospital
- Diana Eccles
- Cancer Sciences Division, Faculty of Medicine, University of Southampton, Southampton University Hospitals NHS Trust
- William Tapper
- Genetic Epidemiology and Bioinformatics Research Group, Human Development and Health Academic Unit, Faculty of Medicine, Duthie Building (MP 808), University of Southampton, Southampton General Hospital
- DOI
- https://doi.org/10.1038/s41467-017-01775-y
- Journal volume & issue
-
Vol. 8,
no. 1
pp. 1 – 12
Abstract
Genetic variance can influence breast cancer prognosis. Here, the authors conduct a meta-analysis to explore genetic variance linked to breast cancer in young women, identifying a prognostic association with germline variation of ADAMTSL1.
