Genomancy: Predicting Tumor Response to Cancer Therapy
Author Information
Author(s): Williams P.D., Lee J.K., Theodorescu D.
Primary Institution: University of Virginia
Hypothesis
Can gene expression profiling predict the response of tumors to cancer therapy?
Conclusion
The study suggests that gene expression profiling can help predict how individual tumors will respond to specific cancer treatments.
Supporting Evidence
- Gene expression profiles can provide a more comprehensive picture of a tumor's biology than traditional clinical indicators.
- Models developed from gene expression data can help determine whether a patient should receive treatment.
- The coxen technique allows for the prediction of tumor responses without the limitations of traditional methods.
Takeaway
Scientists are trying to figure out how to tell if a cancer treatment will work for a patient by looking at the genes in their tumor.
Methodology
The study discusses using high-throughput gene expression profiling to develop predictive models for tumor response to therapy.
Potential Biases
The study notes potential biases in using cell lines to predict human tumor responses.
Limitations
The conventional approach to developing response predictors is costly, slow, and limited to a small number of therapeutic options.
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