Bowel cancer study reveals impact of mutations on protein networks
Wellcome Trust Sanger Institute News Sep 01, 2017
The results offer clearer picture of the cellular processes behind bowel cancer, and may enable future tailoring of drug treatments to different bowel cancer patients.
For the first time, scientists have completed a detailed study of many of the proteins in bowel cancer cells.
Scientists from the Wellcome Trust Sanger Institute investigated the role proteins play in predicting how common mutations affect proteins in the cancer cells and also whether such proteins are important in predicting the cancerÂs response to treatment.
The results, published in the journal Cell Reports give scientists a better picture of the cellular processes behind bowel cancer, and could enable researchers to predict which drugs would be effective in treating different bowel cancer patients.
To understand the biology underlying cancer, scientists have traditionally studied all of the cancer genes  the genome  and all of the RNA  the transcriptome  in the cancer. However, a blindspot in research has been the study of all of the proteins  the proteome  and it is the proteins that are the building blocks of cell machinery.
In the new study, scientists conducted a very deep, detailed study of the proteins in bowel cancer to investigate whether proteins play a role in predicting the effect of different drugs against the cancer. The researchers analysed 9,000 proteins for each of 50 bowel cancer cell lines.
ÂThis study is the first detailed characterisation of colorectal cancer cell lines. It is important to include the proteome in cancer research because proteins are the building blocks of life, and networks of proteins working together are known to drive fundamental processes in cancer. The proteome contains unique information on cell organisation and function. Just studying the genome and transcriptome in the past has proven to be a blindspot in cancer research  but now including the proteome, we have the full picture, said Dr Jyoti Choudhary, lead author from the Wellcome Trust Sanger Institute and The Institute of Cancer Research, London.
The team were able to construct co–ordinated networks of proteins that drive bowel cancer. Researchers used CRISPR–Cas9 to disrupt, or knock out, a single gene that encoded a key protein, and see the effects on the proteins in the rest of its network.
ÂWe discovered that silencing one gene has consequences on the rest of the network, lessening the amount of other proteins  like a ripple effect. We have identified many pathways within the protein network that could be targeted with drugs for bowel cancer, which we could only discover by studying the proteome, said Dr Theodoros Roumeliotis, first author from the Wellcome Trust Sanger Institute.
In the study, the team tested 265 existing anti–cancer drugs on the 50 bowel cancer cell lines. Details of the genome and transcriptome have previously been used to predict which drugs would work in particular cancer cases, however the activity of some drugs could not be predicted.
By studying the proteome the team could predict drug responses that werenÂt explained by either genomics or transcriptomics.
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For the first time, scientists have completed a detailed study of many of the proteins in bowel cancer cells.
Scientists from the Wellcome Trust Sanger Institute investigated the role proteins play in predicting how common mutations affect proteins in the cancer cells and also whether such proteins are important in predicting the cancerÂs response to treatment.
The results, published in the journal Cell Reports give scientists a better picture of the cellular processes behind bowel cancer, and could enable researchers to predict which drugs would be effective in treating different bowel cancer patients.
To understand the biology underlying cancer, scientists have traditionally studied all of the cancer genes  the genome  and all of the RNA  the transcriptome  in the cancer. However, a blindspot in research has been the study of all of the proteins  the proteome  and it is the proteins that are the building blocks of cell machinery.
In the new study, scientists conducted a very deep, detailed study of the proteins in bowel cancer to investigate whether proteins play a role in predicting the effect of different drugs against the cancer. The researchers analysed 9,000 proteins for each of 50 bowel cancer cell lines.
ÂThis study is the first detailed characterisation of colorectal cancer cell lines. It is important to include the proteome in cancer research because proteins are the building blocks of life, and networks of proteins working together are known to drive fundamental processes in cancer. The proteome contains unique information on cell organisation and function. Just studying the genome and transcriptome in the past has proven to be a blindspot in cancer research  but now including the proteome, we have the full picture, said Dr Jyoti Choudhary, lead author from the Wellcome Trust Sanger Institute and The Institute of Cancer Research, London.
The team were able to construct co–ordinated networks of proteins that drive bowel cancer. Researchers used CRISPR–Cas9 to disrupt, or knock out, a single gene that encoded a key protein, and see the effects on the proteins in the rest of its network.
ÂWe discovered that silencing one gene has consequences on the rest of the network, lessening the amount of other proteins  like a ripple effect. We have identified many pathways within the protein network that could be targeted with drugs for bowel cancer, which we could only discover by studying the proteome, said Dr Theodoros Roumeliotis, first author from the Wellcome Trust Sanger Institute.
In the study, the team tested 265 existing anti–cancer drugs on the 50 bowel cancer cell lines. Details of the genome and transcriptome have previously been used to predict which drugs would work in particular cancer cases, however the activity of some drugs could not be predicted.
By studying the proteome the team could predict drug responses that werenÂt explained by either genomics or transcriptomics.
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