Articles about 'breast cancer'

Faulty versions of the BRCA1 and BRCA2 genes are well known to increase the risk of breast cancer in men and women, and in ovarian cancer. Now BRCA1 and BRCA2 have been linked to several other cancers, including those that affect men.

PREDICT Breast and Prostate, powerful online risk communication tools developed by Cambridge researchers, have helped thousands of patients across the world reach better clinical outcomes, avoid unnecessary treatments and suffer less distress.

Doctors at Addenbrooke’s Hospital in Cambridge aim to drastically cut cancer waiting times by using artificial intelligence (AI) to automate lengthy radiotherapy preparations.

Imaging techniques could replace the need for invasive tissue biopsies in helping rapidly determine whether cancer treatments are working effectively, according to researchers at the University of Cambridge.

Four-stranded DNA structures – known as G-quadruplexes – have been shown to play a role in certain types of breast cancer for the first time, providing a potential new target for personalised medicine, say scientists at the University of Cambridge.

Dr Karen Pinilla is a clinical research fellow at the Cancer Research UK Cambridge Centre. She worked as a clinician in the breast unit at Addenbrooke’s Hospital before starting her fellowship in October 2019. She is now based in both Addenbrooke’s Hospital and the Cancer Research UK Cambridge Institute.

Scientists have created one of the most detailed maps of breast cancer ever achieved, revealing how genetic changes shape the physical tumour landscape, according to research funded published in Nature Cancer.

A new type of scan that involves magnetising molecules allows doctors to see in real-time which regions of a breast tumour are active, according to research at the University of Cambridge and published in Proceedings of the National Academy of Sciences.

A major international study of the genetics of breast cancer has identified more than 350 DNA ‘errors’ that increase an individual’s risk of developing the disease. The scientists involved say these errors may influence as many as 190 genes.

Whole genome sequencing of tumour cells could help predict the prognosis of a patient’s cancer and offer clues to identify the most effective treatment, suggests an international study published today in Nature Medicine.