The TP53 mutation rate differs in breast cancers that arise in women with high or low mammographic density
暂无分享,去创建一个
Kylie L. Gorringe | C. Nickson | S. Fox | I. Campbell | K. Gorringe | D. Byrne | Simone M. Rowley | L. Devereux | K. Elder | D. Cheasley | G. Bruce Mann | V. Pridmore | Na Li | P. Procopio | Siobhan Hughes | Hugo Saunders | Grant Lee | T. Kader | Kenji M. Fujihara | B. Lim | Tanjina Kader
[1] S. Ferrari,et al. Author contributions , 2021 .
[2] Kylie L. Gorringe,et al. The TP53 mutation rate differs in breast cancers that arise in women with high or low mammographic density , 2020, npj Breast Cancer.
[3] M. Yaffe,et al. Predictors of mammographic density among women with a strong family history of breast cancer , 2019, BMC Cancer.
[4] Kylie L. Gorringe,et al. Molecular comparison of interval and screen‐detected breast cancers , 2019, The Journal of pathology.
[5] D. Rhodes,et al. Molecular breast imaging detected invasive lobular carcinoma in dense breasts: A case report , 2019, Clinical case reports.
[6] C. Nickson,et al. Prospective Validation of the NCI Breast Cancer Risk Assessment Tool and the Autodensity Mammographic Density Tool on 40,000 Australian Screening Program Participants , 2018, Journal of Global Oncology.
[7] I. Campbell,et al. Population-based genetic testing of asymptomatic women for breast and ovarian cancer susceptibility , 2018, Genetics in Medicine.
[8] Kylie L. Gorringe,et al. Mutations in RECQL are not associated with breast cancer risk in an Australian population , 2018, Nature Genetics.
[9] E. Thompson,et al. High mammographic density in women is associated with protumor inflammation , 2018, Breast Cancer Research.
[10] P. Mukherjee,et al. An overview of mammographic density and its association with breast cancer , 2018, Breast Cancer.
[11] Michael T. Zimmermann,et al. Genomic and Molecular Landscape of DNA Damage Repair Deficiency across The Cancer Genome Atlas , 2018, Cell reports.
[12] E. Thompson,et al. Evaluating the breast cancer predisposition role of rare variants in genes associated with low-penetrance breast cancer risk SNPs , 2018, Breast Cancer Research.
[13] N. Rosenfeld,et al. Optimized p53 immunohistochemistry is an accurate predictor of TP53 mutation in ovarian carcinoma , 2016, The journal of pathology. Clinical research.
[14] A. Whittemore,et al. Case-control study of mammographic density and breast cancer risk using processed digital mammograms , 2016, Breast Cancer Research.
[15] N. Rosenfeld,et al. The somatic mutation profiles of 2,433 breast cancers refines their genomic and transcriptomic landscapes , 2016, Nature Communications.
[16] N. Schultz,et al. Deletions linked to TP53 loss drive cancer through p53-independent mechanisms , 2016, Nature.
[17] R. Gelber,et al. Tailoring therapies—improving the management of early breast cancer: St Gallen International Expert Consensus on the Primary Therapy of Early Breast Cancer 2015 , 2015, Annals of oncology : official journal of the European Society for Medical Oncology.
[18] Nicolai J. Birkbak,et al. Pan-cancer analysis of genomic scar signatures associated with homologous recombination deficiency suggests novel indications for existing cancer drugs , 2015, Biomarker Research.
[19] A. Theocharis,et al. Insights into the key roles of proteoglycans in breast cancer biology and translational medicine. , 2015, Biochimica et biophysica acta.
[20] 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.
[21] C. Vachon,et al. Mammographic density and breast cancer risk by family history in women of white and Asian ancestry , 2015, Cancer Causes & Control.
[22] Jos Jonkers,et al. CopywriteR: DNA copy number detection from off-target sequence data , 2015, Genome Biology.
[23] T. Nielsen,et al. The evaluation of tumor-infiltrating lymphocytes (TILs) in breast cancer: recommendations by an International TILs Working Group 2014. , 2015, Annals of oncology : official journal of the European Society for Medical Oncology.
[24] Heang-Ping Chan,et al. Genome-wide association study identifies multiple loci associated with both mammographic density and breast cancer risk , 2022 .
[25] Bin Zhang,et al. Association between mammographic features and clinicopathological characteristics in invasive ductal carcinoma of breast cancer. , 2014, Molecular and clinical oncology.
[26] Chris Sander,et al. Emerging landscape of oncogenic signatures across human cancers , 2013, Nature Genetics.
[27] C. Nickson,et al. AutoDensity: an automated method to measure mammographic breast density that predicts breast cancer risk and screening outcomes , 2013, Breast Cancer Research.
[28] Jiri Bartek,et al. Replication stress links structural and numerical cancer chromosomal instability , 2013, Nature.
[29] C. Nickson,et al. AutoDensity: an automated method to measure mammographic breast density that predicts breast cancer risk and screening outcomes , 2013, Breast Cancer Research.
[30] A. Vincent-Salomon,et al. Ploidy and large-scale genomic instability consistently identify basal-like breast carcinomas with BRCA1/2 inactivation. , 2012, Cancer research.
[31] G. Mills,et al. Patterns of genomic loss of heterozygosity predict homologous recombination repair defects in epithelial ovarian cancer , 2012, British Journal of Cancer.
[32] E. Ziv,et al. CD36 repression activates a multicellular stromal program shared by high mammographic density and tumor tissues. , 2012, Cancer discovery.
[33] Qifeng Yang,et al. Mammographic features are associated with clinicopathological characteristics in invasive breast cancer. , 2011, Anticancer research.
[34] Karla Kerlikowske,et al. Volume of Mammographic Density and Risk of Breast Cancer , 2011, Cancer Epidemiology, Biomarkers & Prevention.
[35] Peter Kraft,et al. Common variants in ZNF365 are associated with both mammographic density and breast cancer risk , 2011, Nature Genetics.
[36] Mitchell H. Gail,et al. Mammographic density does not differ between unaffected BRCA1/2 mutation carriers and women at low-to-average risk of breast cancer , 2010, Breast Cancer Research and Treatment.
[37] Martin J. Yaffe,et al. Family History, Mammographic Density, and Risk of Breast Cancer , 2010, Cancer Epidemiology, Biomarkers & Prevention.
[38] Anne M Kavanagh,et al. Tumour Size at Detection According to Different Measures of Mammographic Breast Density , 2009, Journal of medical screening.
[39] Anne M Kavanagh,et al. Using Mammographic Density to Improve Breast Cancer Screening Outcomes , 2008, Cancer Epidemiology Biomarkers & Prevention.
[40] F. Schmidt. Meta-Analysis , 2008 .
[41] V. McCormack,et al. Breast Density and Parenchymal Patterns as Markers of Breast Cancer Risk: A Meta-analysis , 2006, Cancer Epidemiology Biomarkers & Prevention.
[42] Russell Davies,et al. Mammographic density and breast cancer risk in BRCA1 and BRCA2 mutation carriers. , 2006, Cancer research.
[43] P. Hall,et al. An expression signature for p53 status in human breast cancer predicts mutation status, transcriptional effects, and patient survival. , 2005, Proceedings of the National Academy of Sciences of the United States of America.
[44] Norman Boyd,et al. The Association of Measured Breast Tissue Characteristics with Mammographic Density and Other Risk Factors for Breast Cancer , 2005, Cancer Epidemiology Biomarkers & Prevention.
[45] M. Burns,et al. Case-Control Study , 2020, Definitions.
[46] Peter H Watson,et al. Mammographic density is related to stroma and stromal proteoglycan expression , 2003, Breast Cancer Research.
[47] David Tritchler,et al. Heritability of mammographic density, a risk factor for breast cancer. , 2002, The New England journal of medicine.
[48] D. C. Henckel,et al. Case report. , 1995, Journal.