A new study led by scientists at the University of Southampton has found that inherited variation in a particular gene may be to blame for the lower survival rate of patients diagnosed with early-onset breast cancer.
Dec 15, 2017
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Results of a national survey of more than 800 physicians suggest that their experiences with patients, family members and friends with breast cancer are linked with their recommendations for routine mammograms. Specifically, ...
Dec 4, 2017
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Breast cancer patients could get a more reliable idea of how long they will live now scientists have linked a new group of genes to poor prognosis.
Jun 26, 2017
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Determining whether breast cancer has spread to sentinel lymph nodes (SLN) is key to prognosis and treatment, making SLN mapping critical. The blue dyes commonly used to identify SLNs spread quickly to other nodes and is ...
Aug 17, 2016
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Although breast cancer is somewhat more aggressive in South Asian and Black women than in White women, this is largely due to age differences between ethnic groups in the UK, according to new research.
Mar 10, 2016
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A University of Rochester biomedical engineering lab discovered a new way to judge whether breast cancer cells are likely to spread, by viewing tumor biopsies with a powerful multi-photon laser microscope and watching for ...
Dec 2, 2015
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A University of Colorado Cancer Center study recently published in the International Journal of Gynecological Cancer shows that protein cytokeratin 5 (CK5), known to be a marker of poor prognosis in breast cancer, also marks ...
Nov 4, 2015
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Our environment can have a major impact on how we develop, and it turns out it's no different for cancer cells. In work published today in Neoplasia, a team of researchers led by Associate Professor Mikala Egeblad at Cold ...
May 27, 2015
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Very low mammographic breast density worsens the prognosis of breast cancer, according to a recent study from the University of Eastern Finland. Disease free survivals as well as overall life expectancies were significantly ...
Mar 12, 2015
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A key step in developing effective cancer therapies is identifying differences between normal, healthy cells and cancer cells – these differences can then be exploited to specifically kill tumour cells.
Jun 20, 2014
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