Genomancy: predicting tumour response to cancer therapy based on the oracle of genetics
2009

Genomancy: Predicting Tumor Response to Cancer Therapy

publication Evidence: moderate

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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