Validation of a personalized risk prediction model for contralateral breast cancer

Marzana Chowdhury, David Euhus, Banu Arun, Chris Umbricht, Swati Biswas, Pankaj Choudhary

Research output: Contribution to journalArticlepeer-review

Abstract

Purpose: Women diagnosed with unilateral breast cancer are increasingly choosing to remove their other unaffected breast through contralateral prophylactic mastectomy (CPM) to reduce the risk of contralateral breast cancer (CBC). Yet a large proportion of CPMs are believed to be medically unnecessary. Thus, there is a pressing need to educate patients effectively on their CBC risk. We had earlier developed a CBC risk prediction model called CBCRisk based on eight personal risk factors. Methods: In this study, we validate CBCRisk on independent clinical data from the Johns Hopkins University (JH) and MD Anderson Cancer Center (MDA). Women whose first breast cancer diagnosis was either invasive and/or ductal carcinoma in situ and whose age at first diagnosis was between 18 and 88 years were included in the cohorts because CBCRisk was developed specifically for these women. A woman who develops CBC is called a case whereas a woman who does not is called a control. The cohort sizes are 6035 (with 117 CBC cases) for JH and 5185 (with 111 CBC cases) for MDA. We computed the relevant calibration and validation measures for 3- and 5-year risk predictions. Results: We found that the model performs reasonably well for both cohorts. In particular, area under the receiver-operating characteristic curve for the two cohorts range from 0.61 to 0.65. Conclusions: With this independent validation, CBCRisk can be used confidently in clinical settings for counseling BC patients by providing their individualized CBC risk. In turn, this may potentially help alleviate the rate of medically unnecessary CPMs.

Original languageEnglish (US)
Pages (from-to)415-423
Number of pages9
JournalBreast Cancer Research and Treatment
Volume170
Issue number2
DOIs
StatePublished - Jul 1 2018

Keywords

  • Absolute risk
  • CBCRisk
  • Contralateral breast cancer
  • Contralateral prophylactic mastectomy

ASJC Scopus subject areas

  • Oncology
  • Cancer Research

Fingerprint Dive into the research topics of 'Validation of a personalized risk prediction model for contralateral breast cancer'. Together they form a unique fingerprint.

Cite this