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The rapamycin-sensitive signal transduction pathway as a target for cancer therapy

M Hidalgo1, E K Rowinsky

  • 1The University of Texas Health Science Center at San Antonio, Institute for Drug Development, Cancer Therapy and Research Center, 78229, USA.

Oncogene
|June 28, 2001
PubMed

Insights

Rapamycin and its analog CCI-779 inhibit cancer cell proliferation by blocking the mammalian target of rapamycin (mTOR) pathway, halting cell cycle progression. This targeted therapy shows promise against various human cancers.

Area of Science:

  • Oncology
  • Molecular Biology
  • Pharmacology

Background:

  • Cancer cells frequently exhibit dysregulated cell cycle control and growth signaling.
  • Aberrant pathways in cancer present strategic therapeutic targets.
  • Rapamycin, a natural product, exhibits anti-tumor properties by inhibiting key cell cycle regulators.

Purpose of the Study:

  • To investigate the anti-cancer mechanisms of rapamycin and its analog CCI-779.
  • To evaluate the efficacy of targeting the mammalian target of rapamycin (mTOR) pathway in cancer therapy.
  • To explore the potential of CCI-779 in clinical settings for treating refractory neoplasms.

Main Methods:

  • Rapamycin binds to FKBP12, inhibiting mTOR kinase activity.
  • mTOR inhibition affects downstream pathways involving p70s6k and 4E-BP1, arresting the cell cycle at G1 phase.
  • Rapamycin also impacts cyclin-dependent kinase activation, pRb phosphorylation, and cyclin D1 turnover.

Main Results:

  • Rapamycin and CCI-779 demonstrated significant anti-cancer activity in vitro and in xenograft models.
  • CCI-779 has shown promising results in early-phase clinical trials with good tolerability.
  • The compounds effectively inhibit cell cycle progression at the G1/S transition.

Conclusions:

  • Targeting rapamycin-sensitive signal-transduction pathways is a viable strategy for cancer treatment.
  • CCI-779 exhibits potential as an anti-cancer agent for refractory tumors.
  • Further clinical development is needed to optimize dosing and predict tumor sensitivity.

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