biostudies-literatureUnknown115(8)Campbell EJ<h4>Background</h4>The functional role of progesterone receptor (PR) signalling was previously unclear and PR testing in breast cancer is controversial. Recent defining work has highlighted the functional crosstalk that exists between the oestrogen receptor (ER) and PR. The purpose of this retrospective cohort study was to compare the prognostic value of the combined ER and PR score with either ER or PR alone.<h4>Methods</h4>Tumour Allred ER and PR scores were reclassified as negative, low and high. The combined endocrine receptor (CER) was calculated as the average of the reclassified ER and PR scores, resulting in three groups: CER negative, impaired and high. Cox proportional hazards models were used to estimate disease-free survival (DFS) and breast cancer-specific survival (BCSS).<h4>British journal of cancer967-973https://www.ebi.ac.uk/biostudies/studies/S-EPMC5061898biostudies-literatureThe combined endocrine receptor in breast cancer, a novel approach to traditional hormone receptor interpretation and a better discriminator of outcome than ER and PR alone.PMC5061898Doogan FMallon ETesson MCampbell EJMohammed ZMAEdwards JfalseThe combined endocrine receptor in breast cancer, a novel approach to traditional hormone receptor interpretation and a better discriminator of outcome than ER and PR alone.<h4>Background</h4>The functional role of progesterone receptor (PR) signalling was previously unclear and PR testing in breast cancer is controversial. Recent defining work has highlighted the functional crosstalk that exists between the oestrogen receptor (ER) and PR. The purpose of this retrospective cohort study was to compare the prognostic value of the combined ER and PR score with either ER or PR alone.<h4>Methods</h4>Tumour Allred ER and PR scores were reclassified as negative, low and high. The combined endocrine receptor (CER) was calculated as the average of the reclassified ER and PR scores, resulting in three groups: CER negative, impaired and high. Cox proportional hazards models were used to estimate disease-free survival (DFS) and breast cancer-specific survival (BCSS).<h4>2016-01-01T00:00:00Z2016 Oct2025-04-21T19:16:13.713Z2019-03-27T02:26:32ZS-EPMC50618982765734110.1038/bjc.2016.206