A living biobank of patient-derived ductal carcinoma in situ mouse-intraductal xenografts identifies risk factors for invasive progression
Authors:
Open Access
- 27 April 2023
- journal article
- research article
- Published by Elsevier in Cancer Cell
- Vol. 41 (5) , 986-1002.e9
Abstract
No abstract availableKeywords
Funding Information
- Oncode Institute
- Baylor College of Medicine
- Cancer Research UK (C38317/A24043)
- University of Birmingham
- Ministerie van Volksgezondheid, Welzijn en Sport
- KWF Kankerbestrijding
- University of Texas MD Anderson Cancer Center
This publication has 74 references indexed in Scilit:
- Identifying subgroup markers in heterogeneous populationsNucleic Acids Research, 2013
- A Multigene Expression Assay to Predict Local Recurrence Risk for Ductal Carcinoma In Situ of the BreastJNCI: Journal of the National Cancer Institute, 2013
- GSVA: gene set variation analysis for microarray and RNA-Seq dataBMC Bioinformatics, 2013
- STAR: ultrafast universal RNA-seq alignerBioinformatics, 2012
- Human primary ductal carcinoma in situ (DCIS) subtype‐specific pathology is preserved in a mouse intraductal (MIND) xenograft modelThe Journal of Pathology, 2011
- PIK3CA Mutations in In situ and Invasive Breast CarcinomasCancer Research, 2010
- Biomarker Expression and Risk of Subsequent Tumors After Initial Ductal Carcinoma In Situ DiagnosisJNCI: Journal of the National Cancer Institute, 2010
- The Sequence Alignment/Map format and SAMtoolsBioinformatics, 2009
- Fast and accurate short read alignment with Burrows–Wheeler transformBioinformatics, 2009
- HER-2/neu Overexpression as a Predictor for the Transition from In situ to Invasive Breast CancerCancer Epidemiology, Biomarkers & Prevention, 2009