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The Joint Effect of Social Comparison and Social Distance on Evaluation of Intertemporal Choice Outcomes in Event-related Potential Studies
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Double down for a double win.

Pearl S Huang1

  • 1Alternative Discovery and Development, GlaxoSmithKlein, King of Prussia, Pennsylvania 19406, USA. huangp@alum.mit.edu

Clinical Cancer Research : an Official Journal of the American Association for Cancer Research
|March 7, 2012
PubMed
Summary
This summary is machine-generated.

Combining inhibitors targeting the phosphoinositide 3-kinase/AKT/mTOR and RAS/MEK/ERK pathways shows promise. Genetic profiling identifies patient subgroups responding well to this combination therapy approach.

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Area of Science:

  • Oncology
  • Molecular Biology
  • Pharmacology

Background:

  • The phosphoinositide 3-kinase/AKT/mTOR and RAS/MEK/ERK pathways are critical in cancer cell proliferation and survival.
  • Dysregulation of these signaling cascades is common in various malignancies.
  • Targeting these pathways individually has shown limitations, necessitating combination strategies.

Purpose of the Study:

  • To investigate the scientific rationale and early clinical efficacy of combining inhibitors targeting both the phosphoinositide 3-kinase/AKT/mTOR and RAS/MEK/ERK pathways.
  • To identify patient subpopulations that may benefit from this dual-pathway inhibition strategy.

Main Methods:

  • Review of scientific literature supporting dual-pathway inhibition.
  • Analysis of ongoing Phase I clinical trials evaluating combination therapies.
  • Correlation of patient tumor genetic profiles with treatment response.

Main Results:

  • The scientific rationale for targeting both pathways simultaneously is robust.
  • Early-phase clinical trials are actively testing experimental agents in combination.
  • Specific genetic lesions in patient tumors are associated with promising responses to this approach.

Conclusions:

  • Combination therapy targeting the phosphoinositide 3-kinase/AKT/mTOR and RAS/MEK/ERK pathways is a compelling strategy.
  • Patient selection based on genetic biomarkers is crucial for optimizing treatment outcomes.
  • Further clinical investigation is warranted to validate these promising early findings.