Cleveland Clinic researchers have trained an advanced computer network to find subtle radiation sensitivity features in the CT scans of individual lung cancer patients that can predict the likelihood of successful radiotherapy outcomes. The network can generate a personalized radiation dose plan that reduces the probability of treatment failure to less than 5%.
A patient with metastatic clear cell adenocarcinoma of müllerian origin met the criteria for PDX-guided treatment: frequent upfront surgery providing ample donor tissue, rapid tumor proliferation and the absence of a definitive standard of care.
The grant will fund exploration of whether the genetic composition of lung cancer cells can predict response to and perhaps guide strategy for radiotherapy.
A team including Cleveland Clinic researchers has identified a variety of genetic determinants that enable cancer cells to survive after exposure to radiation. The research could pave the way for biomarkers to predict individual cancer patients’ radiotherapy outcomes, and to customized radiation treatments that exploit the genetic alterations present in a patient’s tumor.
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Lung tumors bearing the BRAF mutation are resistant to radiation therapy, but a new study finds they can be sensitized to it by commercially available MEK inhibitors. This could benefit 4-6 percent of patients with lung cancer.
Cleveland Clinic researchers identify genomic determinants for resistance to cancer therapies using large-scale tumor genomic profiling and patient-derived xenografts.
Large-scale Cleveland Clinic effort catalogues and targets genetic alterations that confer resistance.