Current issues with luminal subtype classification in terms of prediction of benefit from endocrine therapy in early breast cancer
Endocrine therapy for oestrogen receptor‐positive (ER+) breast cancer (BC) is arguably the most successful targeted cancer therapy to date. Nevertheless, resistance to endocrine therapy still occurs in a significant proportion of patients, limiting its clinical utility. ER+ or luminal BC, which repr...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2018
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| Online Access: | https://eprints.nottingham.ac.uk/51192/ |
| _version_ | 1848798438663127040 |
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| author | Alfarsi, Lutfi Johnston, Simon Liu, Dong-Xu Rakha, Emad Green, Andrew |
| author_facet | Alfarsi, Lutfi Johnston, Simon Liu, Dong-Xu Rakha, Emad Green, Andrew |
| author_sort | Alfarsi, Lutfi |
| building | Nottingham Research Data Repository |
| collection | Online Access |
| description | Endocrine therapy for oestrogen receptor‐positive (ER+) breast cancer (BC) is arguably the most successful targeted cancer therapy to date. Nevertheless, resistance to endocrine therapy still occurs in a significant proportion of patients, limiting its clinical utility. ER+ or luminal BC, which represents around three quarters of all breast malignancies, are biologically heterogeneous with no distinct, clinically defined sub‐classes able to predict the benefit of endocrine therapy in early settings. To improve patient outcomes, there is a clear need for improved understanding of the biology of the luminal BC, with subsequent translation into more effective methods of diagnosis to identify potential predictive biomarkers for endocrine therapy. This review summarises current knowledge of factors predictive of benefit of endocrine therapy, and discusses why molecular classification systems of BC have yet to be translated into the clinic. |
| first_indexed | 2025-11-14T20:19:47Z |
| format | Article |
| id | nottingham-51192 |
| institution | University of Nottingham Malaysia Campus |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-14T20:19:47Z |
| publishDate | 2018 |
| publisher | Wiley |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | nottingham-511922019-03-30T04:30:16Z https://eprints.nottingham.ac.uk/51192/ Current issues with luminal subtype classification in terms of prediction of benefit from endocrine therapy in early breast cancer Alfarsi, Lutfi Johnston, Simon Liu, Dong-Xu Rakha, Emad Green, Andrew Endocrine therapy for oestrogen receptor‐positive (ER+) breast cancer (BC) is arguably the most successful targeted cancer therapy to date. Nevertheless, resistance to endocrine therapy still occurs in a significant proportion of patients, limiting its clinical utility. ER+ or luminal BC, which represents around three quarters of all breast malignancies, are biologically heterogeneous with no distinct, clinically defined sub‐classes able to predict the benefit of endocrine therapy in early settings. To improve patient outcomes, there is a clear need for improved understanding of the biology of the luminal BC, with subsequent translation into more effective methods of diagnosis to identify potential predictive biomarkers for endocrine therapy. This review summarises current knowledge of factors predictive of benefit of endocrine therapy, and discusses why molecular classification systems of BC have yet to be translated into the clinic. Wiley 2018-03-30 Article PeerReviewed application/pdf en https://eprints.nottingham.ac.uk/51192/1/Alfarsi_et_al-2018-Histopathology.pdf Alfarsi, Lutfi, Johnston, Simon, Liu, Dong-Xu, Rakha, Emad and Green, Andrew (2018) Current issues with luminal subtype classification in terms of prediction of benefit from endocrine therapy in early breast cancer. Histopathology . ISSN 0309-0167 breast cancer luminal endocrine therapy response resistance oestrogen receptor predictive biomarker https://onlinelibrary.wiley.com/doi/abs/10.1111/his.13523 doi:10.1111/his.13523 doi:10.1111/his.13523 |
| spellingShingle | breast cancer luminal endocrine therapy response resistance oestrogen receptor predictive biomarker Alfarsi, Lutfi Johnston, Simon Liu, Dong-Xu Rakha, Emad Green, Andrew Current issues with luminal subtype classification in terms of prediction of benefit from endocrine therapy in early breast cancer |
| title | Current issues with luminal subtype classification in terms of prediction of benefit from endocrine therapy in early breast cancer |
| title_full | Current issues with luminal subtype classification in terms of prediction of benefit from endocrine therapy in early breast cancer |
| title_fullStr | Current issues with luminal subtype classification in terms of prediction of benefit from endocrine therapy in early breast cancer |
| title_full_unstemmed | Current issues with luminal subtype classification in terms of prediction of benefit from endocrine therapy in early breast cancer |
| title_short | Current issues with luminal subtype classification in terms of prediction of benefit from endocrine therapy in early breast cancer |
| title_sort | current issues with luminal subtype classification in terms of prediction of benefit from endocrine therapy in early breast cancer |
| topic | breast cancer luminal endocrine therapy response resistance oestrogen receptor predictive biomarker |
| url | https://eprints.nottingham.ac.uk/51192/ https://eprints.nottingham.ac.uk/51192/ https://eprints.nottingham.ac.uk/51192/ |