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Breast cancer breakthrough uses molecular data to predict whether tumours will come back

  • The research identified four types of breast cancer with ‘exceedingly high risk’ of relapse
  • The findings open new avenues for treatment and screening of at-risk patients

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A colourised scanning electron micrograph of a breast cancer cell. Stock photo: Alamy
Agence France-Presse

For breast cancer survivors, the risk of tumours returning casts a long shadow, with recurrence possible up to two decades after a diagnosis. But new research could help identify and treat those most in danger.

Doctors have traditionally relied on factors such as the size and grade of a tumour at diagnosis, lymph node involvement and a patient’s age to determine their risk of relapse.

A doctor examines a mammogram. Photo: Alamy
A doctor examines a mammogram. Photo: Alamy
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But the rate at which breast cancer recurs, and why it does so, remains “poorly understood”, according to the study published Thursday in the journal Nature.

In a bid to change that, the researchers turned to data from over 3,000 breast cancer patients diagnosed in the United Kingdom and Canada between 1977 and 2005.

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