Methylation patterns in serum DNA for early identification of disseminated breast cancer

[1]  L. Cope,et al.  Monitoring of Serum DNA Methylation as an Early Independent Marker of Response and Survival in Metastatic Breast Cancer: TBCRC 005 Prospective Biomarker Study. , 2017, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.

[2]  I. Jacobs,et al.  Testing breast cancer serum biomarkers for early detection and prognosis in pre-diagnosis samples , 2017, British Journal of Cancer.

[3]  J. Condeelis,et al.  Mechanism of early dissemination and metastasis in Her2+ mammary cancer , 2016, Nature.

[4]  S. Merajver,et al.  Comparative analysis of circulating tumor DNA stability In K3EDTA, Streck, and CellSave blood collection tubes. , 2016, Clinical biochemistry.

[5]  P. Prorok,et al.  Breast-Cancer Tumor Size, Overdiagnosis, and Mammography Screening Effectiveness. , 2016, The New England journal of medicine.

[6]  P. Jiang,et al.  The Long and Short of Circulating Cell-Free DNA and the Ins and Outs of Molecular Diagnostics. , 2016, Trends in genetics : TIG.

[7]  D. Oram,et al.  Ovarian cancer screening and mortality in the UK Collaborative Trial of Ovarian Cancer Screening (UKCTOCS): a randomised controlled trial , 2016, The Lancet.

[8]  C. Caldas,et al.  Cell‐free circulating tumour DNA as a liquid biopsy in breast cancer , 2016, Molecular oncology.

[9]  Matthias W. Beckmann,et al.  DNA methylation outliers in normal breast tissue identify field defects that are enriched in cancer , 2016, Nature Communications.

[10]  G. Samimi,et al.  Methylated circulating tumor DNA in blood: power in cancer prognosis and response , 2016, Endocrine-related cancer.

[11]  Tanja Fehm,et al.  Pooled Analysis of the Prognostic Relevance of Circulating Tumor Cells in Primary Breast Cancer , 2016, Clinical Cancer Research.

[12]  B. Kermani,et al.  Analytical and Clinical Validation of a Digital Sequencing Panel for Quantitative, Highly Accurate Evaluation of Cell-Free Circulating Tumor DNA , 2015, PloS one.

[13]  E. Ma,et al.  Plasma DNA tissue mapping by genome-wide methylation sequencing for noninvasive prenatal, cancer, and transplantation assessments , 2015, Proceedings of the National Academy of Sciences.

[14]  K. Kinzler,et al.  Detection of somatic mutations and HPV in the saliva and plasma of patients with head and neck squamous cell carcinomas , 2015, Science Translational Medicine.

[15]  Beatriz Bellosillo,et al.  Clonal evolution and resistance to EGFR blockade in the blood of colorectal cancer patients , 2015, Nature Medicine.

[16]  A. Jemal,et al.  Global cancer statistics, 2012 , 2015, CA: a cancer journal for clinicians.

[17]  Brigitte Rack,et al.  DNA methylation markers for early detection of women's cancer: promise and challenges. , 2014, Epigenomics.

[18]  Tanja Fehm,et al.  Circulating Tumor Cells Predict Survival in Early Average-to-High Risk Breast Cancer Patients , 2014, Journal of the National Cancer Institute.

[19]  Zhe Zhang,et al.  Novel methylated biomarkers and a robust assay to detect circulating tumor DNA in metastatic breast cancer. , 2014, Cancer research.

[20]  T. Fehm,et al.  Clinical validity of circulating tumour cells in patients with metastatic breast cancer: a pooled analysis of individual patient data. , 2014, The Lancet. Oncology.

[21]  M. Choti,et al.  Detection of Circulating Tumor DNA in Early- and Late-Stage Human Malignancies , 2014, Science Translational Medicine.

[22]  Yen Ching Lim,et al.  Improved reduced representation bisulfite sequencing for epigenomic profiling of clinical samples , 2014, Biological Procedures Online.

[23]  N. Rosenfeld,et al.  Non-invasive analysis of acquired resistance to cancer therapy by sequencing of plasma DNA , 2013, Nature.

[24]  D. Altman,et al.  The benefits and harms of breast cancer screening: an independent review , 2012, British Journal of Cancer.

[25]  H. Kuerer,et al.  Circulating tumour cells in non-metastatic breast cancer: a prospective study. , 2012, The Lancet. Oncology.

[26]  Peter A. Jones,et al.  A decade of exploring the cancer epigenome — biological and translational implications , 2011, Nature Reviews Cancer.

[27]  Zachary D. Smith,et al.  Preparation of reduced representation bisulfite sequencing libraries for genome-scale DNA methylation profiling , 2011, Nature Protocols.

[28]  C. Klein,et al.  Parallel progression of primary tumours and metastases , 2009, Nature Reviews Cancer.

[29]  P. Vineis,et al.  Circulating free DNA in plasma or serum as biomarker of carcinogenesis: practical aspects and biological significance. , 2007, Mutation research.

[30]  C. D'Orsi,et al.  Influence of computer-aided detection on performance of screening mammography. , 2007, The New England journal of medicine.

[31]  T. Fehm,et al.  A pooled analysis of bone marrow micrometastasis in breast cancer. , 2005, The New England journal of medicine.

[32]  Martin Widschwendter,et al.  Circulating tumor-specific DNA: a marker for monitoring efficacy of adjuvant therapy in cancer patients. , 2005, Cancer research.

[33]  Alison Stopeck,et al.  Circulating tumor cells, disease progression, and survival in metastatic breast cancer. , 2004, The New England journal of medicine.

[34]  M. Widschwendter,et al.  Prognostic DNA Methylation Marker in Serum of Cancer Patients , 2004, Annals of the New York Academy of Sciences.

[35]  M. Widschwendter,et al.  DNA methylation in serum of breast cancer patients: an independent prognostic marker. , 2003, Cancer research.

[36]  N. Stoecklein,et al.  Genetic heterogeneity of single disseminated tumour cells in minimal residual cancer , 2002, The Lancet.

[37]  R. Ward,et al.  Identification and Characterisation of a Platelet GPIb/V/IX‐like Complex on Human Breast Cancers: Implications for the Metastatic Process , 2001, Japanese journal of cancer research : Gann.

[38]  R. Coombes,et al.  Outcome of primary-breast-cancer patients with micrometastases: a long-term follow-up study , 1999, The Lancet.

[39]  R. Newcombe.  Two-sided confidence intervals for the single proportion: comparison of seven methods. , 1998, Statistics in medicine.

[40]  Daniel F. Hayes,et al.  Analysis of Circulating Tumor DNA to Monitor Metastatic Breast Cancer , 2013 .

[41]  A. Jemal,et al.  Global Cancer Statistics , 2011 .