New way to target advanced breast cancers

A cytokine signature found in certain kinds of breast cancer cells can not only serve as a diagnostic tool for HER2-negative cancers but also offer an effective treatment target. Research Team led by Karolina Palucka, Professor, The Jackson Laboratory (JAX), has collaborated with researchers at The Baylor Institute for Immunology Research to show that IL1b,… Continue reading New way to target advanced breast cancers

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Breast cancer could be prevented by targeting epigenetic proteins

Researchers at the Princess Margaret Cancer Centre in Toronto have discovered that epigenetic proteins promote the proliferation of mammary gland stem cells in response to the sex hormone progesterone. The study suggests that inhibiting these proteins with drugs could prevent the development of breast cancer in women at high risk of the disease. Mammary glands… Continue reading Breast cancer could be prevented by targeting epigenetic proteins

Machine learning helps detect lymphedema among breast cancer survivors

Scientists from NYU Rory Meyers College of Nursing found a new study where machine learning using real-time symptom reports can accurately detect lymphedema, a distressing side effect of breast cancer treatment that is more easily treated when identified early. "Using a well-trained classification algorithm to detect lymphedema based on real-time symptom reports is a highly promising tool that… Continue reading Machine learning helps detect lymphedema among breast cancer survivors