2015
DOI: 10.1016/j.surge.2014.12.003
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Clinical proteomics and breast cancer

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Cited by 36 publications
(24 citation statements)
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“… 41 Furthermore, numerous proteomic studies of breast cancer have been accomplished aiming to aid the development of personalized therapies, increase understanding of post treatment relapse, and help improve prediction of patient prognosis. 56 …”
Section: Diagnosis Of Breast Cancermentioning
confidence: 99%
“… 41 Furthermore, numerous proteomic studies of breast cancer have been accomplished aiming to aid the development of personalized therapies, increase understanding of post treatment relapse, and help improve prediction of patient prognosis. 56 …”
Section: Diagnosis Of Breast Cancermentioning
confidence: 99%
“…Therefore, new methods for the early detection of breast cancer are required to support high risk younger women. The search for diagnostic biomarkers of breast cancer has been extensive and proteomics strategies increasingly employed as part of the discovery process [10]. Plasma is by far the most common biofluid used, but putative markers are massively diluted relative to the site of origin of the cancer, thereby reducing sensitivity [11].…”
Section: Clinical Relevancementioning
confidence: 99%
“…As plasma is by far the most commonly used and most completely characterized liquid biopsy for diagnosing disease, including breast cancer [10], we wanted to establish if the NAF proteome is likely to provide unique insights. The Plasma Proteome Database comprises the collated quantitative data for 10 546 proteins that have been detected in plasma and serum using immunoassays or mass spectrometric techniques (http://www.plasmaproteomedatabase.org/) [25].…”
Section: Naf Proteomic Analysismentioning
confidence: 99%
“…The development of high throughput technologies has made it possible to approach the disease in a global manner and assess the contribution of the DNA, the RNA, and the proteins to the tumorigenic phenotype. While the genomic and transcriptomic levels have been extensively studied, the proteomic level has been mainly studied using cell lines or with low analytical depth due to technological challenges Lam et al, 2014;Lawrence et al, 2015;Sørlie, 2007;Zeidan et al, 2015). Seminal gene expression studies defined molecular signatures that allowed the classification of breast tumors into four accepted ''intrinsic'' subtypes: luminal A and B, Her2-overexpressing, and basal-like tumors (Perou et al, 2000;Sørlie et al, 2001).…”
Section: Introductionmentioning
confidence: 99%