Affinity proteomic profiling of plasma for proteins associated to area-based mammographic breast density

[1]  K. Czene,et al.  A clinical model for identifying the short-term risk of breast cancer , 2017, Breast Cancer Research.

[2]  K. Czene,et al.  Cohort Profile Cohort Profile : The Karolinska Mammography Project for Risk Prediction of Breast Cancer ( KARMA ) , 2017 .

[3]  A. Whittemore,et al.  Breast Cancer Risk and Mammographic Density Assessed with Semiautomated and Fully Automated Methods and BI-RADS. , 2017, Radiology.

[4]  Yudi Pawitan,et al.  Multidimensional Normalization to Minimize Plate Effects of Suspension Bead Array Data. , 2016, Journal of proteome research.

[5]  K. Czene,et al.  Amount of stroma is associated with mammographic density and stromal expression of oestrogen receptor in normal breast tissues , 2016, Breast Cancer Research and Treatment.

[6]  Jens Nielsen,et al.  Transcriptomics resources of human tissues and organs , 2016, Molecular systems biology.

[7]  Angela E. Leek,et al.  Increased peri-ductal collagen micro-organization may contribute to raised mammographic density , 2016, Breast Cancer Research.

[8]  J. Hopper,et al.  Mammographic density defined by higher than conventional brightness threshold better predicts breast cancer risk for full-field digital mammograms , 2015, Breast Cancer Research.

[9]  B. Keller,et al.  Preliminary evaluation of the publicly available Laboratory for Breast Radiodensity Assessment (LIBRA) software tool: comparison of fully automated area and volumetric density measures in a case–control study with digital mammography , 2015, Breast Cancer Research.

[10]  B. Keller,et al.  Associations between breast density and a panel of single nucleotide polymorphisms linked to breast cancer risk: a cohort study with digital mammography , 2015, BMC Cancer.

[11]  G. von Heijne,et al.  Tissue-based map of the human proteome , 2015, Science.

[12]  Jingmei Li,et al.  Volumetric mammographic density: heritability and association with breast cancer susceptibility loci. , 2014, Journal of the National Cancer Institute.

[13]  J. Mulder,et al.  Affinity proteomic profiling of plasma, cerebrospinal fluid, and brain tissue within multiple sclerosis. , 2014, Journal of proteome research.

[14]  Bahram Parvin,et al.  Stress signaling from human mammary epithelial cells contributes to phenotypes of mammographic density. , 2014, Cancer research.

[15]  E. Bertini,et al.  Affinity proteomics within rare diseases: a BIO-NMD study for blood biomarkers of muscular dystrophies , 2014, EMBO molecular medicine.

[16]  Norman F. Boyd,et al.  Relationship of Mammographic Density and Gene Expression: Analysis of Normal Breast Tissue Surrounding Breast Cancer , 2013, Clinical Cancer Research.

[17]  R. Baxter,et al.  Breast cancer biomarkers: proteomic discovery and translation to clinically relevant assays , 2012, Expert review of proteomics.

[18]  Melissa A Troester,et al.  Gene expression in extratumoral microenvironment predicts clinical outcome in breast cancer patients , 2012, Breast Cancer Research.

[19]  I. Haviv,et al.  Image-guided sampling reveals increased stroma and lower glandular complexity in mammographically dense breast tissue , 2011, Breast Cancer Research and Treatment.

[20]  Donald E Ingber,et al.  Mechanical control of tissue and organ development , 2010, Development.

[21]  Norman F. Boyd,et al.  Screen-Film Mammographic Density and Breast Cancer Risk: A Comparison of the Volumetric Standard Mammogram Form and the Interactive Threshold Measurement Methods , 2010, Cancer Epidemiology, Biomarkers & Prevention.

[22]  Kevin W. Eliceiri,et al.  Matrix density-induced mechanoregulation of breast cell phenotype, signaling, and gene expression through a FAK-ERK linkage , 2009, Oncogene.

[23]  Norman Boyd,et al.  Mammographic Density and Breast Cancer Risk: Evaluation of a Novel Method of Measuring Breast Tissue Volumes , 2009, Cancer Epidemiology Biomarkers & Prevention.

[24]  Valerie M. Weaver,et al.  A tense situation: forcing tumour progression , 2009, Nature Reviews Cancer.

[25]  N. Schork,et al.  The Relative Importance of Genetics and Environment on Mammographic Density , 2009, Cancer Epidemiology Biomarkers & Prevention.

[26]  C. Rueden,et al.  Bmc Medicine Collagen Density Promotes Mammary Tumor Initiation and Progression , 2022 .

[27]  N. Boyd,et al.  Mammographic density. Potential mechanisms of breast cancer risk associated with mammographic density: hypotheses based on epidemiological evidence , 2008, Breast Cancer Research.

[28]  N. Boyd,et al.  Mammographic density and the risk and detection of breast cancer. , 2007, The New England journal of medicine.

[29]  V. McCormack,et al.  Breast Density and Parenchymal Patterns as Markers of Breast Cancer Risk: A Meta-analysis , 2006, Cancer Epidemiology Biomarkers & Prevention.

[30]  H. Senn,et al.  Probabilistic quotient normalization as robust method to account for dilution of complex biological mixtures. Application in 1H NMR metabonomics. , 2006, Analytical chemistry.

[31]  Cynthia A. Reinhart-King,et al.  Tensional homeostasis and the malignant phenotype. , 2005, Cancer cell.

[32]  Mia Hubert,et al.  ROBPCA: A New Approach to Robust Principal Component Analysis , 2005, Technometrics.

[33]  Cathy H. Wu,et al.  The Universal Protein Resource (UniProt) , 2004, Nucleic Acids Res..

[34]  David Tritchler,et al.  Heritability of mammographic density, a risk factor for breast cancer. , 2002, The New England journal of medicine.

[35]  N. Boyd,et al.  Mammographic densities and breast cancer risk. , 1998, Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology.

[36]  J. Wolfe,et al.  Mammographic features and breast cancer risk: effects with time, age, and menopause status. , 1995, Journal of the National Cancer Institute.

[37]  A. Miller,et al.  Quantitative classification of mammographic densities and breast cancer risk: results from the Canadian National Breast Screening Study. , 1995, Journal of the National Cancer Institute.

[38]  P. Nilsson,et al.  Highly multiplexed antibody suspension bead arrays for plasma protein profiling. , 2013, Methods in molecular biology.

[39]  Derek C. Radisky,et al.  Tissue composition of mammographically dense and non-dense breast tissue , 2011, Breast Cancer Research and Treatment.

[40]  J. R. Scotti,et al.  Available From , 1973 .