Literature DB >> 17638066

Pre-clinical validation of early molecular markers of sensitivity to aromatase inhibitors in a mouse model of post-menopausal hormone-sensitive breast cancer.

Ander Urruticoechea1, Helena Aguilar, Xavier Solé, Gabriel Capellà, Lesley-Ann Martin, Mitch Dowsett, Josep Ramon Germà-Lluch.   

Abstract

INTRODUCTION: Changes in breast cancer cell biology following hormonal treatment have been claimed as promising predictor markers of clinical benefit even outperforming clinical response. From previous work we selected 10 genes showing both a well known regulation by oestrogen and a high level of early transcriptional regulation following therapy with aromatase inhibitors. Here we use an animal breast cancer model to explore the feasibility of the determination of their expression in minimally invasive samples and to further assess the magnitude of their regulation by letrozole. ANIMAL AND METHODS: Aromatase inhibitor sensitive breast cancer tumours were grown in athymic mice under supplement with androstenedione. Following initial tumour growth animals were assigned to a control group or to receive letrozole at two different dosages. Fine needle aspirates were obtained at the moment of treatment assignation and one week later. Expression of the following genes at both time points was determined: Ki-67, Cyclin D1, pS2, Trefoil Factor 3, PDZ domain containing 1, Ubiquitin-conjugating enzyme E2C, Stanniocalcin 2, Topoisomerase 2 alfa, MAN1A1 and FAS.
RESULTS: Fine needles aspirates were found to be a feasible and reproducible technique for RNA extraction. Trefoil Factor 3, pS2, Cyclin D1 and Stanniocalcin 2 were significantly downregulated by letrozole. Among them pS2 appears to be most sensitive to aromatase inhibitor treatment even differentiating sub-optimal from optimal letrozole dosage. DISCUSSION: We present pre-clinical evidence to justify the exploration in clinical trials of pS2, Trefoil factor 3, Cyclin D1 and Stanniocalcin as dynamic markers of oestrogen-driven pathway activation.

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Year:  2007        PMID: 17638066     DOI: 10.1007/s10549-007-9676-7

Source DB:  PubMed          Journal:  Breast Cancer Res Treat        ISSN: 0167-6806            Impact factor:   4.872


  4 in total

Review 1.  Can predictive biomarkers in breast cancer guide adjuvant endocrine therapy?

Authors:  Karin Beelen; Wilbert Zwart; Sabine C Linn
Journal:  Nat Rev Clin Oncol       Date:  2012-07-24       Impact factor: 66.675

2.  Decreased expression of ABAT and STC2 hallmarks ER-positive inflammatory breast cancer and endocrine therapy resistance in advanced disease.

Authors:  Maurice P H M Jansen; Leen Sas; Anieta M Sieuwerts; Caroline Van Cauwenberghe; Diana Ramirez-Ardila; Maxime Look; Kirsten Ruigrok-Ritstier; Pascal Finetti; François Bertucci; Mieke M Timmermans; Carolien H M van Deurzen; John W M Martens; Iris Simon; Paul Roepman; Sabine C Linn; Peter van Dam; Marleen Kok; Filip Lardon; Peter B Vermeulen; John A Foekens; Luc Dirix; Els M J J Berns; Steven Van Laere
Journal:  Mol Oncol       Date:  2015-03-04       Impact factor: 6.603

3.  Chromatin immunoprecipitation to analyze DNA binding sites of HMGA2.

Authors:  Nina Winter; Rolf Nimzyk; Carolin Bösche; Anke Meyer; Jörn Bullerdiek
Journal:  PLoS One       Date:  2011-04-14       Impact factor: 3.240

4.  GenDrux: a biomedical literature search system to identify gene expression-based drug sensitivity in breast cancer.

Authors:  Chiquito Crasto; Dajie Luo; Feliciano Yu; Andres Forero; Dongquan Chen
Journal:  BMC Med Inform Decis Mak       Date:  2011-05-05       Impact factor: 2.796

  4 in total

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