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Related Concept Videos

Endocarditis IV: Nursing Management01:29

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Infective endocarditis (IE) is a chronic infection of the heart's endocardium, primarily affecting the heart valves. A detailed nursing assessment for a patient with IE involves collecting subjective and objective data to ensure an accurate diagnosis and timely intervention.Subjective DataThe nurse gathers information about the patient's symptoms and complaints during the subjective assessment. Patients with infective endocarditis often report non-specific symptoms that can mimic other...
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Related Experiment Video

Updated: Jun 12, 2026

Nine-Grid Area Division Method: A New Ideal Bone Puncture Region for Percutaneous Vertebroplasty in Lumbar Spine
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PIKing the right patient.

Alexa B Turke1, Jeffrey A Engelman

  • 1Massachusetts General Hospital Cancer Center Boston, Massachusetts 02129, USA. jengelman@partners.org

Clinical Cancer Research : an Official Journal of the American Association for Cancer Research
|June 12, 2010
PubMed
Summary
This summary is machine-generated.

HER2 amplification and PIK3CA mutations predict response to phosphoinositide 3-kinase (PI3K) inhibitors in breast cancer. New expression profiles identify additional sensitive tumors and suggest combination therapies targeting interconnected pathways.

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Area of Science:

  • Oncology
  • Molecular Biology
  • Pharmacology

Background:

  • HER2 amplification and PIK3CA mutations are established biomarkers for phosphoinositide 3-kinase (PI3K) inhibitor sensitivity.
  • Identifying broader patient populations responsive to PI3K inhibitors is crucial for effective breast cancer treatment.

Purpose of the Study:

  • To validate known biomarkers for PI3K inhibitor GDC-0941.
  • To develop a novel gene expression profile for identifying breast cancers sensitive to PI3K inhibitors.
  • To explore pathway interactions and potential combination therapies.

Main Methods:

  • Validation of HER2 amplification and PIK3CA mutation as predictive biomarkers.
  • Development and application of a novel gene expression profiling method.
  • Analysis of signaling network feedback loops involving TORC1, PI3K, and MAPK pathways.

Main Results:

  • Confirmed HER2 amplification and PIK3CA mutation as predictive biomarkers for GDC-0941 sensitivity.
  • Identified a novel expression profile capable of classifying additional breast cancers responsive to PI3K inhibition.
  • Elucidated feedback mechanisms between TORC1, PI3K, and MAPK signaling pathways.

Conclusions:

  • Biomarker-driven selection enhances PI3K inhibitor efficacy in breast cancer.
  • Novel expression profiling expands the potential application of PI3K inhibitors.
  • Understanding pathway crosstalk supports the development of rational combination therapies for improved clinical outcomes.