New hypotheses and opportunities in endocrine therapy: amplification of oestrogen-induced apoptosis

V Craig Jordan1, Joan S Lewis-Wambi, Roshani R Patel

  • 1Fox Chase Cancer Center, 333 Cottman Avenue, Philadelphia, PA 19111, USA. v.craig.jordan@fccc.edu

Abstract

Insights

New strategies target acquired resistance to endocrine therapy in metastatic breast cancer. Researchers are exploring GPR30 agonists, anti-angiogenic drugs, and glutathione inhibitors to enhance oestrogen-induced apoptosis and improve treatment outcomes.

Area of Science:

  • Oncology
  • Endocrinology
  • Pharmacology

Background:

  • Acquired resistance to selective oestrogen receptor modulators (SERMs) and aromatase inhibitors limits long-term endocrine therapy efficacy in metastatic breast cancer.
  • Understanding oestrogen signalling and apoptosis pathways is crucial for overcoming treatment resistance.

Purpose of the Study:

  • To review progress in understanding acquired resistance to endocrine therapies for breast cancer.
  • To explore strategies for amplifying oestrogen-induced apoptosis in hormone-resistant metastatic breast cancer.

Main Methods:

  • Investigated the role of G-protein coupled receptor 30 (GPR30) in oestrogen action and its potential as a therapeutic target.
  • Examined the integration of anti-angiogenic drugs into adjuvant antihormone therapy.
  • Assessed the impact of glutathione synthesis inhibitors on oestradiol-induced apoptosis.

Main Results:

  • GPR30 is identified as a key player in oestrogen action, with specific drugs targeting it to induce apoptosis.
  • Anti-angiogenic agents show potential for combination therapy to enhance apoptosis in resistant breast cancer.
  • Drugs reducing glutathione synthesis can augment oestradiol-induced apoptosis, potentially overcoming drug resistance.

Conclusions:

  • An integrated approach is proposed for rapid testing of agents that blunt survival pathways and enhance apoptosis in resistant metastatic breast cancer.
  • A pharmaceutical platform aims to accelerate clinical results for predicting efficacy in large-scale trials.

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