"Our study demonstrates that systems medicine approaches (i.e., quantitative analysis of multiple factors in patients' samples combined with mathematical modeling) have a significant advantage over other approaches in predicting therapy responses in patients," said Jochen J.M. Prehn, Ph.D., director of the Centre for Systems Medicine at the Royal College of Surgeons in Ireland.
Apoptosis, or programmed cell death, is believed to be a hallmark of cancer resistance to chemotherapy. Prior research has shown that the key step in apoptosis, the process that leads to mitochondrial outer membrane permeabilization (MOMP) is controlled by different members of the BCL-2 family of proteins. Some family members promote apoptosis and some prevent it. In addition, those proteins that have the same effects on apoptosis work in parallel and can substitute for each other, which makes it difficult to predict whether cells are likely or unlikely to die.
To better inform decision-making in chemotherapy for colorectal cancer, Prehn and colleagues developed a tool that would incorporate patient-specific, molecular data sets. They studied the BCL-2 proteins, determined levels of the individual proteins and put the levels into a mathematical model that calculated what genotoxic stress level is needed to achieve apoptosis.
"Resistance of colon cancer cells in culture, as well as treatment responses of patients with stages 2 and 3 colon cancer, were critically determined by the calculated stress level required to undergo apoptosis," Prehn said. "We found that individual patients had a high degree of heterogeneity in BCL-2 family protein levels and that this was a potential cause of the success or failure of adjuvant chemotherapy."
Prehn and colleagues tested a clinical decision-making tool that they call DR_MOMP to determine its use in predicting treatment responses in patients with colon cancer. Using DR_MOMP, they were able to robustly predict patient outcome.
"This finding may provide a clinical decision-making tool that enables predictions of treatment responses in patients with colon cancer," Prehn said. "As we provide a quantitative, dynamic analysis of the process of apoptosis, we can also calculate, for individual patients, the therapeutic window."
The model could help predict how much genotoxic stress is required for a cancer cell to die before normal tissue is affected. Prehn and colleagues hope to validate DR_MOMP in other cancers and in larger patient cohorts.
"We need to develop easy and accessible protein profiling and modeling platforms that enable the implementation of this new technology in clinical trials and in pathology laboratories," Prehn said.
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About the American Association for Cancer Research
Founded in 1907, the American Association for Cancer Research (AACR) is the world's first and largest professional organization dedicated to advancing cancer research and its mission to prevent and cure cancer. AACR membership includes more than 34,000 laboratory, translational and clinical researchers; population scientists; other health care professionals; and cancer advocates residing in more than 90 countries. The AACR marshals the full spectrum of expertise of the cancer community to accelerate progress in the prevention, biology, diagnosis and treatment of cancer by annually convening more than 20 conferences and educational workshops, the largest of which is the AACR Annual Meeting with more than 17,000 attendees. In addition, the AACR publishes eight peer-reviewed scientific journals and a magazine for cancer survivors, patients and their caregivers. The AACR funds meritorious research directly as well as in cooperation with numerous cancer organizations. As the scientific partner of Stand Up To Cancer, the AACR provides expert peer review, grants administration and scientific oversight of team science and individual grants in cancer research that have the potential for near-term patient benefit. The AACR actively communicates with legislators and policymakers about the value of cancer research and related biomedical science in saving lives from cancer.
For more information about the AACR, visit www.AACR.org
Jeremy Moore | Source: EurekAlert!
Further information: www.aacr.org
Further Reports about: AACR > cancer research > colon cancer > individual protein > mathematical model > stress level > toxic stress
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