Signal events: Cell signal transduction and its inhibition in cancer

Eric K Rowinsky1

  • 1Institute for Drug Development, Cancer Therapy and Research Center, San Antonio, Texas 78229, USA. erowinsky@saci.org

The Oncologist
|December 13, 2003
PubMed

Insights

Signal transduction inhibitors target cancer cell communication. These targeted therapies, like trastuzumab and gefitinib, show promise but require new trial designs to assess their growth-inhibitory effects.

Area of Science:

  • Cellular Biology
  • Molecular Oncology
  • Pharmacology

Background:

  • Signal transduction pathways regulate crucial cell functions like growth, differentiation, and survival.
  • Aberrant signal transduction is implicated in cancer development, promoting proliferation, angiogenesis, invasion, metastasis, and inhibiting apoptosis.
  • Targeting these aberrant pathways represents a novel therapeutic strategy for neoplasms.

Purpose of the Study:

  • To review the role of signal transduction in cancer.
  • To discuss current and developing signal transduction inhibitors.
  • To highlight challenges and future directions for clinical trials of these agents.

Main Methods:

  • Review of scientific literature on signal transduction in cancer.
  • Discussion of specific targeted therapies such as ErbB inhibitors (trastuzumab, gefitinib) and mTOR inhibitors.
  • Analysis of preclinical and clinical data regarding the efficacy and evaluation of signal transduction inhibitors.

Main Results:

  • Aberrant signal transduction is a hallmark of most human cancers.
  • Approved therapies include trastuzumab for HER-2 positive breast cancer and gefitinib for non-small cell lung cancer.
  • Signal transduction inhibitors primarily exert growth-inhibitory effects rather than direct tumor regression.

Conclusions:

  • Signal transduction inhibitors offer targeted approaches to cancer therapy.
  • New clinical trial designs and endpoints are necessary to accurately evaluate the efficacy of these growth-inhibitory agents.
  • Patient and tumor profiling are essential for predicting and optimizing response to signal transduction therapies.

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