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

Research output: Contribution to journalArticlepeer-review

6 Citations (Scopus)

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.

Original languageEnglish
Pages (from-to)683-689
Number of pages7
JournalFamilial Cancer
Volume12
Issue number4
DOIs
Publication statusPublished - 2013

Keywords

  • Adjuvant chemotherapy
  • BRCA1
  • Breast cancer
  • Founder mutations

Field of Science

  • 3.1 Basic medicine
  • 3.2 Clinical medicine

Publication Type

  • 1.1. Scientific article indexed in Web of Science and/or Scopus database

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