Canadian researchers have developed a new tool that will help evaluating the interaction of various proteins in cancer can help predicting the chances of patient survival. The study was lead by Dr. Jeff Wrana of Mount Sinai Hospital in Toronto, published in Nature Biotechnology online this week.

This will be helpful to trigger the right treatment right from the time of evaluation. The researchers used the protein network of about 350 women in USA and Europe.

Protein network is an important chemical compound in cellular processes. It was found that the survivors had a different organization of protein network comparing to the dead ones.

In the research they successfully concluded the accurate predictions of 82 percent patients by tracking their protein network. Dr. Jeff Wrana said, “We approached cancer as a problem in how proteins communicate with each other — or how proteins interact with each other in networks.”

He further added, “It could help to direct the appropriate therapies for individual patients”. He and his team observed about 30, 000 protein interactions which involved about 8,000 proteins.

He also said, “We really want to take each persons tumour as an individual disease and apply individualized therapy to those patients and thereby get much better and more effective outcomes.”

It is said that the technology will be provided for clinical use within 5 years.