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Breast cancer study: Towards personalized treatment

Date:
May 2, 2016
Source:
European Bioinformatics Institute EMBL-EBI
Summary:
The largest-ever study to sequence the whole genomes of breast cancers has uncovered five new genes associated with the disease and 13 new mutational signatures that influence tumor development. Two new studies pinpoint where genetic variations in breast cancers occur. The findings provide insights into the causes of breast tumors and demonstrate that breast-cancer genomes are highly individual.
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The largest-ever study to sequence the whole genomes of breast cancers has uncovered five new genes associated with the disease and 13 new mutational signatures that influence tumour development. Published in Nature and Nature Communications, two studies from the Wellcome Genome Campus pinpoint where genetic variations in breast cancers occur. The findings provide insights into the causes of breast tumours and demonstrate that breast-cancer genomes are highly individual.

Each patient's cancer genome provides a complete historical account of the genetic changes that person has acquired throughout life. As they develop from a fertilised egg into full adulthood, a person's DNA gathers genetic changes along the way. Human DNA is constantly being damaged, either by things in the environment or simply from regular wear and tear in the cell. These mutations form patterns-mutational signatures-that can be detected, and give us clues about the causes of cancer.

An international collaboration, led by the Wellcome Trust Sanger Institute with contributions from the European Bioinformatics Institute (EMBL-EBI), analysed 560 breast cancer genomes from cancer patients from the US, Europe and Asia. The team hunted for mutations that encourage cancers to grow and looked for mutational signatures in each patient's tumour. They found that women who carry the BRCA1 or BRCA2 gene, who therefore have increased risk of developing breast and ovarian cancer, had whole-cancer genome profiles that were very different to other breast cancers and highly distinctive from one other. This discovery could be used to classify patients more accurately for treatment.

"In the future, we'd like to be able to profile individual cancer genomes so that we can identify the treatment most likely to be successful for a woman or man diagnosed with breast cancer," says Dr Nik-Zainal of the Sanger Institute. "It is a step closer to personalised healthcare for cancer."

Exactly where mutations occur in breast cancer genomes is important, too. Dr Ewan Birney, Senior Scientist and Director of EMBL-EBI, used new computational techniques to analyse the sequence of genetic information held in each of the sample genomes.

"We know that genetic changes and their position in the cancer genome influence how a person responds to a cancer therapy," he explains. "For years we have been trying to figure out if parts of DNA that don't code for anything specific have a role in driving cancer development. This study gave us the first large-scale view of the rest of the genome, uncovering some new reasons why breast cancer arises. It also gave us an unexpected way to characterise the types of mutations that happen in certain breast cancers."

"Unpicking the genetic variations between cancers is crucial to developing improved therapies," says Professor Sir Mike Stratton, Director of the Sanger Institute. "This huge study, the largest of any one cancer type to date, gives insights into which genetic variations exist, and where they are in the genome. This has implications for other types of cancer, too. The study itself shows it is possible to sequence individual cancer genomes and this should lead to benefits for patients in the long term."


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Materials provided by European Bioinformatics Institute EMBL-EBI. Note: Content may be edited for style and length.


Journal References:

  1. Serena Nik-Zainal, Helen Davies, Johan Staaf, Manasa Ramakrishna, Dominik Glodzik, Xueqing Zou, Inigo Martincorena, Ludmil B. Alexandrov, Sancha Martin, David C. Wedge, Peter Van Loo, Young Seok Ju, Marcel Smid, Arie B. Brinkman, Sandro Morganella, Miriam R. Aure, Ole Christian Lingjærde, Anita Langerød, Markus Ringnér, Sung-Min Ahn, Sandrine Boyault, Jane E. Brock, Annegien Broeks, Adam Butler, Christine Desmedt, Luc Dirix, Serge Dronov, Aquila Fatima, John A. Foekens, Moritz Gerstung, Gerrit K. J. Hooijer, Se Jin Jang, David R. Jones, Hyung-Yong Kim, Tari A. King, Savitri Krishnamurthy, Hee Jin Lee, Jeong-Yeon Lee, Yilong Li, Stuart McLaren, Andrew Menzies, Ville Mustonen, Sarah O’Meara, Iris Pauporté, Xavier Pivot, Colin A. Purdie, Keiran Raine, Kamna Ramakrishnan, F. Germán Rodríguez-González, Gilles Romieu, Anieta M. Sieuwerts, Peter T. Simpson, Rebecca Shepherd, Lucy Stebbings, Olafur A. Stefansson, Jon Teague, Stefania Tommasi, Isabelle Treilleux, Gert G. Van den Eynden, Peter Vermeulen, Anne Vincent-Salomon, Lucy Yates, Carlos Caldas, Laura van’t Veer, Andrew Tutt, Stian Knappskog, Benita Kiat Tee Tan, Jos Jonkers, Åke Borg, Naoto T. Ueno, Christos Sotiriou, Alain Viari, P. Andrew Futreal, Peter J. Campbell, Paul N. Span, Steven Van Laere, Sunil R. Lakhani, Jorunn E. Eyfjord, Alastair M. Thompson, Ewan Birney, Hendrik G. Stunnenberg, Marc J. van de Vijver, John W. M. Martens, Anne-Lise Børresen-Dale, Andrea L. Richardson, Gu Kong, Gilles Thomas, Michael R. Stratton. Landscape of somatic mutations in 560 breast cancer whole-genome sequences. Nature, 2016; DOI: 10.1038/nature17676
  2. Morganella S et al. The topography of mutational processes in breast cancer genomes. Nature Communications, May 2016 DOI: 10.1038/10.1038/NCOMMS11383

Cite This Page:

European Bioinformatics Institute EMBL-EBI. "Breast cancer study: Towards personalized treatment." ScienceDaily. ScienceDaily, 2 May 2016. <www.sciencedaily.com/releases/2016/05/160502111434.htm>.
European Bioinformatics Institute EMBL-EBI. (2016, May 2). Breast cancer study: Towards personalized treatment. ScienceDaily. Retrieved December 21, 2024 from www.sciencedaily.com/releases/2016/05/160502111434.htm
European Bioinformatics Institute EMBL-EBI. "Breast cancer study: Towards personalized treatment." ScienceDaily. www.sciencedaily.com/releases/2016/05/160502111434.htm (accessed December 21, 2024).

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