Literature DB >> 23640109

Underestimated survival predictions of the prognostic tools Adjuvant! Online and PREDICT in BRCA1-associated breast cancer patients.

Grigorijs Plakhins1, Arvids Irmejs, Andris Gardovskis, Signe Subatniece, Inta Liepniece-Karele, Gunta Purkalne, Uldis Teibe, Genadijs Trofimovics, Edvins Miklasevics, Janis Gardovskis.   

Abstract

BRCA1-associated breast cancer is considered an unique clinical entity with its own specific histopathological characteristics. Several recently published large studies have shown that overall survival of BRCA1 mutation carriers having breast cancer is similar to sporadic breast cancer patients. It was also suggested that better response to chemotherapy is one of the most important factors that improves the clinical outcome of breast cancers with unfavorable histopathological subtypes in BRCA1 mutation carriers. Adjuvant! Online and PREDICT are web-based prognostic tools that estimate the survival benefit of adjuvant chemotherapy in primary breast cancer patients. These tools have been extensively validated in different populations; however, the accuracy of the predictions made by Adjuvant! Online and PREDICT among BRCA1 mutation carriers has not yet been investigated. In this study we have found, that predictions of overall and breast cancer-specific survival obtained from Adjuvant! Online and PREDICT were significantly lower than the observed survival percentages in the study population [predicted--observed difference for 10-year overall survival: -9.75%, P < 0.0001 (Adjuvant! Online); -10.21%, P < 0.0001 (PREDICT)]. Thus this study suggests that Adjuvant! Online and PREDICT should be used with caution in this group of patients. Further updating of adjuvant therapy benefit calculation tools by inclusion of the information about inherited genetic alterations should be considered to improve the performance of the prognostic programs among hereditary breast cancer patients.

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Year:  2013        PMID: 23640109     DOI: 10.1007/s10689-013-9646-7

Source DB:  PubMed          Journal:  Fam Cancer        ISSN: 1389-9600            Impact factor:   2.375


  30 in total

1.  Adjuvant! Online as a decision-making tool in early breast cancer--a UK national survey.

Authors:  V Agarwal; P O'Neill
Journal:  Clin Oncol (R Coll Radiol)       Date:  2010-11-26       Impact factor: 4.126

2.  Outcome of triple-negative breast cancer in patients with or without deleterious BRCA mutations.

Authors:  Soley Bayraktar; Angelica M Gutierrez-Barrera; Diane Liu; Tunc Tasbas; Ugur Akar; Jennifer K Litton; E Lin; Constance T Albarracin; Funda Meric-Bernstam; Ana M Gonzalez-Angulo; Gabriel N Hortobagyi; Banu K Arun
Journal:  Breast Cancer Res Treat       Date:  2011-08-10       Impact factor: 4.872

3.  Adjuvant! Online is overoptimistic in predicting survival of Asian breast cancer patients.

Authors:  Nirmala Bhoo-Pathy; Cheng-Har Yip; Mikael Hartman; Nakul Saxena; Nur Aishah Taib; Gwo-Fuang Ho; Lai-Meng Looi; Awang M Bulgiba; Yolanda van der Graaf; Helena M Verkooijen
Journal:  Eur J Cancer       Date:  2012-02-25       Impact factor: 9.162

4.  Should all BRCA1 mutation carriers with stage I breast cancer receive chemotherapy?

Authors:  Steven A Narod; Kelly Metcalfe; Henry T Lynch; Parviz Ghadirian; Andre Robidoux; Nadine Tung; Elizabeth Gaughan; Charmaine Kim-Sing; Olufunmilayo I Olopade; William D Foulkes; Mark Robson; Kenneth Offit; Ania Jakubowska; Tomasz Byrski; Tomasz Huzarski; Ping Sun; Jan Lubinski
Journal:  Breast Cancer Res Treat       Date:  2013-02-06       Impact factor: 4.872

5.  Pathologic complete response rates in young women with BRCA1-positive breast cancers after neoadjuvant chemotherapy.

Authors:  Tomasz Byrski; Jacek Gronwald; Tomasz Huzarski; Ewa Grzybowska; Magdalena Budryk; Malgorzata Stawicka; Tomasz Mierzwa; Marek Szwiec; Rafal Wisniowski; Monika Siolek; Rebecca Dent; Jan Lubinski; Steven Narod
Journal:  J Clin Oncol       Date:  2009-12-14       Impact factor: 44.544

Review 6.  Prognosis of BRCA-associated breast cancer: a summary of evidence.

Authors:  L Bordeleau; S Panchal; P Goodwin
Journal:  Breast Cancer Res Treat       Date:  2010-01       Impact factor: 4.872

7.  External validation of Adjuvant! Online breast cancer prognosis tool. Prioritising recommendations for improvement.

Authors:  David Hajage; Yann de Rycke; Marc Bollet; Alexia Savignoni; Martial Caly; Jean-Yves Pierga; Hugo M Horlings; Marc J Van de Vijver; Anne Vincent-Salomon; Brigitte Sigal-Zafrani; Claire Senechal; Bernard Asselain; Xavier Sastre; Fabien Reyal
Journal:  PLoS One       Date:  2011-11-08       Impact factor: 3.240

8.  An investigation into the performance of the Adjuvant! Online prognostic programme in early breast cancer for a cohort of patients in the United Kingdom.

Authors:  H E Campbell; M A Taylor; A L Harris; A M Gray
Journal:  Br J Cancer       Date:  2009-09-01       Impact factor: 7.640

9.  PREDICT: a new UK prognostic model that predicts survival following surgery for invasive breast cancer.

Authors:  Gordon C Wishart; Elizabeth M Azzato; David C Greenberg; Jem Rashbass; Olive Kearins; Gill Lawrence; Carlos Caldas; Paul D P Pharoah
Journal:  Breast Cancer Res       Date:  2010-01-06       Impact factor: 6.466

10.  PREDICT Plus: development and validation of a prognostic model for early breast cancer that includes HER2.

Authors:  G C Wishart; C D Bajdik; E Dicks; E Provenzano; M K Schmidt; M Sherman; D C Greenberg; A R Green; K A Gelmon; V-M Kosma; J E Olson; M W Beckmann; R Winqvist; S S Cross; G Severi; D Huntsman; K Pylkäs; I Ellis; T O Nielsen; G Giles; C Blomqvist; P A Fasching; F J Couch; E Rakha; W D Foulkes; F M Blows; L R Bégin; L J van't Veer; M Southey; H Nevanlinna; A Mannermaa; A Cox; M Cheang; L Baglietto; C Caldas; M Garcia-Closas; P D P Pharoah
Journal:  Br J Cancer       Date:  2012-07-31       Impact factor: 7.640

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  5 in total

1.  Breast cancer therapy planning - a novel support concept for a sequential decision making problem.

Authors:  Alexander Scherrer; Ilka Schwidde; Andreas Dinges; Patrick Rüdiger; Sherko Kümmel; Karl-Heinz Küfer
Journal:  Health Care Manag Sci       Date:  2014-10-15

2.  A comparative analysis of recurrence risk predictions in ER+/HER2- early breast cancer using NHS Nottingham Prognostic Index, PREDICT, and CanAssist Breast.

Authors:  Aparna Gunda; Mallikarjuna S Eshwaraiah; Kiran Gangappa; Taranjot Kaur; Manjiri M Bakre
Journal:  Breast Cancer Res Treat       Date:  2022-09-10       Impact factor: 4.624

Review 3.  Worse breast cancer prognosis of BRCA1/BRCA2 mutation carriers: what's the evidence? A systematic review with meta-analysis.

Authors:  Alexandra J van den Broek; Marjanka K Schmidt; Laura J van 't Veer; Rob A E M Tollenaar; Flora E van Leeuwen
Journal:  PLoS One       Date:  2015-03-27       Impact factor: 3.240

4.  Correlation Between Oncotype DX, PREDICT and the Nottingham Prognostic Index: Implications for the Management of Early Breast Cancer.

Authors:  Christopher Hillyar; Hirah Rizki; Omar Abbassi; Sascha Miles-Dua; Gillian Clayton; Tasha Gandamihardja; Simon Smith
Journal:  Cureus       Date:  2020-04-06

5.  The Utility of Oncotype DX for Adjuvant Chemotherapy Treatment Decisions in Estrogen Receptor-positive, Human Epidermal Growth Factor Receptor 2-negative, Node-negative Breast Cancer.

Authors:  Hirah Rizki; Christopher Hillyar; Omar Abbassi; Sascha Miles-Dua
Journal:  Cureus       Date:  2020-03-14
  5 in total

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