Scientists working on a tool to predict recurrence of breast cancer – Xinhua



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LONDON, March 15 (Xinhua) – Scientists are trying to better predict if and when women's bad cancer could recur with the help of statistical tools.

A team of researchers from Cambridge University and Stanford University examined the features of genetic alterations in tumors of nearly 2,000 women with bad cancer.

Cancer progress in these patients has also been monitored for more than 20 years, especially in the event of recurrence of their cancer.

Scientists are working with the genetic badysis information collected to create an affordable routine test in hospitals, which could help predict the risk of recurrence more accurately.

"In this study, we have deepened the molecular subtypes of bad cancer to more accurately identify individuals who may relapse and discover new methods of treatment," said Carlos Caldas, Principal Investigator of Cancer Research. UK to Cambridge. Institute.

The team had previously identified 11 different molecular subgroups of bad cancer, each with distinct clinical trajectories that differed from one person to the next.

"We have shown that the molecular nature of a woman's bad cancer determines the progression of her disease, not just for the first five years, but also later, even if it reappears," said Oscar Rueda, first author of the article published Wednesday on the scientific journal Nature.

The researchers noted that more research is needed to understand how to tailor treatments to the patient's individual tumor biology before the test can be introduced universally.

The team is also studying personalized treatment options for different subtypes of bad cancer.

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