biostudies-literatureGrootes INCI NIH HHSCancer Foundation Finland srWellcome Trust178-193https://www.ebi.ac.uk/biostudies/studies/S-EPMC10412460biostudies-literatureUnknown173<h4>Background</h4>Predict Breast (www.predict.nhs.uk) is an online prognostication and treatment benefit tool for early invasive breast cancer. The aim of this study was to incorporate the prognostic effect of progesterone receptor (PR) status into a new version of PREDICT and to compare its performance to the current version (2.2).<h4>Method</h4>The prognostic effect of PR status was based on the analysis of data from 45,088 European patients with breast cancer from 49 studies in the Breast Cancer Association Consortium. Cox proportional hazard models were used to estimate the hazard ratio for PR status. Data from a New Zealand study of 11,365 patients with early invasive breast cancer were used for external validation. Model calibration and discrimination were used to test the model perEuropean journal of cancer (Oxford, England : 1990)Incorporating progesterone receptor expression into the PREDICT breast prognostic model.PMC10412460P30 CA008748190149210067203477/Z/16/ZDork TCross SSClarke CLLubinski JFloris GElwood MBurwinkel BBlomqvist CEaston DFTeras LRShen CYWendt CAbubakar MRack BFox SHall PHooning MJHarkness EFWinqvist RBlows FMHein ADwek MFigueroa JDGarcia-Saenz JABriceno IBojesen SEBonanni BTorres DJohn EMCamp NJManoochehri MSchochter FCox AGago-Dominguez MEccles DMJung ALambrechts DRennert Gvan Deurzen CHMFink VWilliams JADunning AMTaib NAMGarcia-Closas MAndrulis ILHowell SJKristensen VNMatsuo KOffit KPharoah PDPGrootes ISwerdlow AJKeeman RKang DEvans DGIto HTawfiq ECouch FJTapper WJBolla MKSchoemaker MJMilne RLLi JMulligan AMFasching PAKwong ATeo SHGabrielson MSchmidt MKNevanlinna HEriksson MSaloustros EAnton-Culver HVachon CMPylkas KPresneau NABCTB InvestigatorsRadice PErnst KGiles GGBeckmann MWDevilee PHaiman CAPark SKSchneeweiss AGonzalez-Neira APark-Simon TWCzene KMargolin SHou MFOsorio APatel AVHaeberle LNewman WGRomero ASawyer EJShibli RChoi JYCastelao JEHamann UkConFab InvestigatorsJakubowska AHartman MSinn PJanni WfalseIncorporating progesterone receptor expression into the PREDICT breast prognostic model.<h4>Background</h4>Predict Breast (www.predict.nhs.uk) is an online prognostication and treatment benefit tool for early invasive breast cancer. The aim of this study was to incorporate the prognostic effect of progesterone receptor (PR) status into a new version of PREDICT and to compare its performance to the current version (2.2).<h4>Method</h4>The prognostic effect of PR status was based on the analysis of data from 45,088 European patients with breast cancer from 49 studies in the Breast Cancer Association Consortium. Cox proportional hazard models were used to estimate the hazard ratio for PR status. Data from a New Zealand study of 11,365 patients with early invasive breast cancer were used for external validation. Model calibration and discrimination were used to test the model per2022-01-01T00:00:00Z2022 Sep2025-04-27T00:11:24.041Z2025-04-06T17:46:03.924ZS-EPMC104124603593388510.1016/j.ejca.2022.06.011