Published on January 19, 2013 at 3:51 AM
Scientists at the Royal College of Surgeons in Ireland (RCSI) and Beaumont Hospital have developed a new method of predicting which patients with bowel (colorectal) cancer will respond effectively to chemotherapy. The results of this study are published in the current issue of the prestigious Cancer Research journal.
The discovery could, in the future, help identify individuals who will not respond to chemotherapy, before they commence treatment, and may therefore require additional therapies. The new tool measures the amount of drug required for a cancer cell to die without harming healthy tissue. This prediction tool may also be used in clinical trails to develop new drugs to treat bowel cancer.
Commenting on the results, lead researcher, Professor Jochen Prehn, Director of the Centre for Systems Medicine at RCSI said: "Our study has enabled us to predict which patients are likely to be resistant to chemotherapy by examining how certain proteins in their cancer cells interact. We hope that the clinical decision-making tool that we have designed will enable doctors to develop personalised therapies for patients to ensure the best outcomes and potentially avoiding unnecessary chemotherapy and the negative side effects that go with it."
Chemotherapy destroys cancer cells by bringing on a process of programmed cell death, known as apoptosis. However, sometimes mutations in cancer cells alter the levels of certain proteins and prevent this process of cell death occurring which results in chemotherapy being ineffective in some individuals with bowel cancer. In other patients, mutations in cancer cells have the opposite effect and promote the destruction of the cancer cells.
"The prediction tool also has the potential to be used in clinical trials so that new drugs can be developed for bowel cancer patients who are resistant to chemotherapy. The model we developed in this study could eventually be applied in other cancers." Professor Prehn concluded.
Source: Irish Cancer Society