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Researchers identify genetic weapon that can fight against bowel cancer

The treatment works best for each genetic signature so that cancer treatments can be personalised to beat the disease, said the researchers.

Researchers identify genetic weapon that can fight against bowel cancer

Washington DC: Researchers have discovered a new `genetic signatures` in bowel cancer cells that can help identify the best treatments for those with the condition.

The treatment works best for each genetic signature so that cancer treatments can be personalised to beat the disease, said the researchers.

Senior author Mark Lawler from the Queen`s University in Belfast, Northern Ireland said that currently, patients with colorectal cancer are offered chemotherapy treatment.

While this treatment may be successful for some patients, for others it would have no effect on fighting the cancer, though the patients may suffer debilitating side effects such as nerve damage that can result in a loss of sensation or movement in a part of the body.

A `one size fits all` approach isn`t a viable option if this disease needs to be tackled effectively, Lawler added.The research was conducted by the researchers at Queen`s, in collaboration with the University of Oxford and the University of Leeds.

The study has shown how defining precise gene signatures within bowel cancer cells can allow us to develop novel prognostic and predictive markers for bowel cancer and help to drive personalised medicine approaches.

Researcher Philip Dunne said, "Through analysing the molecular and genetic data generated from patient tissue samples, we have discovered that there are different subtypes of bowel cancer."

Dunne further stated that the team could tailor treatment to the individual patient, maximising its effectiveness while minimising potential side effects.

The researchers concluded that their aim is to develop personalised medicine treatment approaches in this common malignancy.

The study appears in the journal of Nature Communications.

(With ANI inputs)

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