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The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.

Targeting the PI3K signaling pathway in cancer therapy

Bartholomeusz, Chandra, Gonzalez-Angulo, Ana Maria·2012·Expert Opinion on Therapeutic Targets

Abstract

INTRODUCTION: The PI3K signaling pathway is involved in the regulation of cancer cell growth, motility, survival and metabolism. The pathway is frequently active in many different types of cancer-e.g., breast, bladder, prostate, thyroid, ovarian and NSCLC. Targetable genetic aberrations in this pathway give us many opportunities for development of targeted therapies for different types of cancer. AREAS COVERED: The genetic alterations in the PI3K/mammalian target of rapamycin (mTOR)/Akt pathway, as well as the drugs that target this pathway, either alone, in combination with other targeted agents or in chemotherapy. Targeted inhibitors of the PI3K pathway currently being tested in clinical trials in different types of human cancer. EXPERT OPINION: Small-molecule inhibitors targeting the PI3K/Akt/mTOR pathway show some success with these agents in current clinical trials. For further improvement in response, molecular correlates that can be used for patient selection, need to be determined. A more efficient and effective way to screen for patients to determine which patients are most likely to benefit from PI3K pathway inhibitors is also needed.

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Metadata

Authors
Bartholomeusz, C., & Gonzalez-Angulo, A. M.
Venue
Expert Opinion on Therapeutic Targets
Published
2012-01
Volume
16
Issue
1
Pages
121-130
ISSN
  • 1472-8222 (ISSN-L)
  • 1744-7631
OpenAlex
W2141300809
Cited by
216
References
4
FWCI
11.62
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Targeting the PI3K signaling pathway in cancer therapy. https://app.cochat.ai/papers/10.1517/14728222.2011.644788
The paper
Bartholomeusz, C., & Gonzalez-Angulo, A. M. (2012). Targeting the PI3K signaling pathway in cancer therapy. Expert Opinion on Therapeutic Targets. https://doi.org/10.1517/14728222.2011.644788

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

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