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Friday, April 17, 2015

Cancer Research: Genomics tool predicts tumor aggressiveness ♦ Prediction of early form of breast cancer ♦ Blood test can predict future breast cancer

New blood test can predict future breast cancer By analyzing a simple blood sample, scientists have succeeded in predicting if a woman will get breast cancer within two to five years. The method -- a metabolic blood profile -- is still in the early stages but over time the scientists expect it could be used to predict breast cancer and more generally to predict chronic disease
Potential for prediction of progression for early form of breast cancer Scientists have identified a way to potentially predict which patients with an early form of breast cancer will experience disease progression. Ductal carcinoma in situ (DCIS) is a precursor of breast cancer where the cancerous cells are contained within the milk-making ducts. Without treatment, commonly a combination of breast-conserving surgery and radiotherapy, up to a half of patients will have their disease come back, either as DCIS or as invasive breast cancer
Tumors prefer the easy way out  Researchers describe a new way that cancer cells invade other parts of the body, identifying a new treatment target that may be more effective than current drugs. "We are looking for novel ways of preventing cancer cells of the primary tumor from spreading to other parts of the body. Our study points to potential therapeutic targets that could be inhibited to halt tumor cell movement,"
New genomics tool could help predict tumor aggressiveness, treatment outcomes A new method for measuring genetic variability within a tumor might one day help doctors identify patients with aggressive cancers that are more likely to resist therapy, according to a study. Researchers used a new scoring method they developed called MATH (mutant-allele tumor heterogeneity) to measure the genetic variability among cancer cells within tumors from 305 patients with head and neck cancer. High MATH scores corresponded to tumors with many differences among the gene mutations present in different cancer cells.

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