Improved relapse-free survival on aromatase inhibitors in breast cancer is associated with interaction between oestrogen receptor-α and progesterone receptor-b

Background Recent pre-clinical studies indicate that activated progesterone receptor (PR) (particularly the PR-B isoform) binds to oestrogen receptor-α (ER) and reprogrammes transcription toward better breast cancer outcomes. We investigated whether ER and PR-B interactions were present in breast tu...

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Veröffentlicht in:British journal of cancer 2018-11, Vol.119 (11), p.1316-1325
Hauptverfasser: Snell, Cameron E., Gough, Madeline, Liu, Cheng, Middleton, Kathryn, Pyke, Christopher, Shannon, Catherine, Woodward, Natasha, Hickey, Theresa E., Armes, Jane E., Tilley, Wayne D.
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Sprache:eng
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Zusammenfassung:Background Recent pre-clinical studies indicate that activated progesterone receptor (PR) (particularly the PR-B isoform) binds to oestrogen receptor-α (ER) and reprogrammes transcription toward better breast cancer outcomes. We investigated whether ER and PR-B interactions were present in breast tumours and associated with clinical parameters including response to aromatase inhibitors. Methods We developed a proximity ligation assay to detect ER and PR-B (ER:PR-B) interactions in formalin-fixed paraffin-embedded tissues. The assay was validated in a cell line and patient-derived breast cancer explants and applied to a cohort of 229 patients with ER-positive and HER2-negative breast cancer with axillary nodal disease. Results Higher frequency of ER:PR-B interaction correlated with increasing patient age, lower tumour grade and mitotic index. A low frequency of ER:PR-B interaction was associated with higher risk of relapse. In multivariate analysis, ER:PR-B interaction frequency was an independent predictive factor for relapse, whereas PR expression was not. In subset analysis, low frequency of ER:PR-B interaction was predictive of relapse on adjuvant aromatase inhibitor (HR 4.831, p  = 0.001), but not on tamoxifen (HR 1.043, p  = 0.939). Conclusions This study demonstrates that ER:PR-B interactions have utility in predicting patient response to adjuvant AI therapy.
ISSN:0007-0920
1532-1827
DOI:10.1038/s41416-018-0331-3