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Cited by 470

The DOI matches its Crossref record; 130 of the 130 references it cites were found in a registry or an index.

Inhibition of the PI3K/AKT/mTOR Pathway in Solid Tumors

Open access
LoRusso, Patricia Mucci·2016·Journal of Clinical Oncology

Abstract

The phosphoinositide 3-kinase (PI3K) pathway plays an integral role in many cellular processes and is frequently altered in cancer, contributing to tumor growth and survival. Small molecule inhibitors have been developed that target the three major nodes of this pathway: PI3K, AKT, and mammalian target of rapamycin. However, because oncogenic PI3K pathway activation is achieved in diverse, potentially redundant ways, the clinical efficacy of these inhibitors as monotherapies has, so far, been limited, despite demonstrating promising preclinical activity. Moreover, pathway activation is associated with resistance to other therapies; thus, in combination, PI3K pathway inhibitors could restore therapeutic sensitivity to these agents. To maximize therapeutic benefit, drug combinations and schedules must be explored to identify those with the highest efficacy and lowest toxicity overlap. In addition, defining appropriate patient subpopulations, for both monotherapy and drug combinations, will be important. However, identifying predictive biomarkers remains a challenge.

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Crossref · 10.1200/jco.2014.59.0018

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Metadata

Authors
LoRusso, P. M.
Venue
Journal of Clinical Oncology
Published
2016-11-01
Volume
34
Issue
31
Pages
3803-3815
ISSN
  • 0732-183X (ISSN-L)
  • 1527-7755
OpenAlex
W2518718875
Cited by
470
References
130
FWCI
15.35
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Inhibition of the PI3K/AKT/mTOR Pathway in Solid Tumors. https://app.cochat.ai/papers/10.1200/jco.2014.59.0018
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LoRusso, P. M. (2016). Inhibition of the PI3K/AKT/mTOR Pathway in Solid Tumors. Journal of Clinical Oncology. https://doi.org/10.1200/jco.2014.59.0018

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

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

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.