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Personalized survivorship care: Routine breast cancer risk assessment in the gynecologic oncology clinic.
Ahsan, Muhammad Danyal; Webster, Emily M; Wolfe, Isabel A; McGonigle, Rylee; Brewer, Jesse T; Chandler, Isabelle R; Weiss, Jessica M; Enriquez, Allan; Cantillo, Evelyn; Holcomb, Kevin; Chapman-Davis, Eloise; Blank, Stephanie V; Sharaf, Ravi N; Frey, Melissa K.
Affiliation
  • Ahsan MD; Weill Cornell Medicine - 1300 York Ave, New York, NY 10065, United States.
  • Webster EM; Weill Cornell Medicine - 1300 York Ave, New York, NY 10065, United States.
  • Wolfe IA; Weill Cornell Medicine - 1300 York Ave, New York, NY 10065, United States.
  • McGonigle R; Weill Cornell Medicine - 1300 York Ave, New York, NY 10065, United States.
  • Brewer JT; Weill Cornell Medicine - 1300 York Ave, New York, NY 10065, United States.
  • Chandler IR; Weill Cornell Medicine - 1300 York Ave, New York, NY 10065, United States.
  • Weiss JM; Weill Cornell Medicine - 1300 York Ave, New York, NY 10065, United States.
  • Enriquez A; Weill Cornell Medicine - 1300 York Ave, New York, NY 10065, United States.
  • Cantillo E; Weill Cornell Medicine - 1300 York Ave, New York, NY 10065, United States.
  • Holcomb K; Weill Cornell Medicine - 1300 York Ave, New York, NY 10065, United States.
  • Chapman-Davis E; Weill Cornell Medicine - 1300 York Ave, New York, NY 10065, United States.
  • Blank SV; Icahn School of Medicine at Mount Sinai - 1 Gustave L. Levy Pl, New York, NY 10029, United States.
  • Sharaf RN; Weill Cornell Medicine - 1300 York Ave, New York, NY 10065, United States.
  • Frey MK; Weill Cornell Medicine - 1300 York Ave, New York, NY 10065, United States. Electronic address: mkf2002@med.cornell.edu.
Gynecol Oncol ; 183: 47-52, 2024 Apr.
Article in En | MEDLINE | ID: mdl-38503141
ABSTRACT

INTRODUCTION:

Gynecologic and breast cancers share several risk factors. Breast cancer risk assessment tools can identify those at elevated risk and allow for enhanced breast surveillance and chemoprevention, however such tools are underutilized. We aim to evaluate the use of routine breast cancer risk assessment in a gynecologic oncology clinic.

METHODS:

A patient-facing web-based tool was used to collect personal and family history and run four validated breast cancer risk assessment models (Tyrer-Cuzick (TC), Gail, BRCAPRO, and Claus) in a gynecologic oncology clinic. We evaluated completion of the tools and identification of patients at elevated risk for breast cancer using the four validated models.

RESULTS:

A total of 99 patients were included in this analysis. The BRCAPRO model had the highest completion rate (84.8%), followed by the TC model (74.7%), Gail model (74.7%), and the Claus model (52.1%). The TC model identified 21.6% of patients completing the model as having ≥20% lifetime risk of breast cancer, compared to 6.8% by the Gail model, and 0% for both the BRCAPRO and Claus models. The Gail model identified 52.5% of patients as having ≥1.67% 5-year risk of breast cancer. Among patients identified as high-risk for breast cancer and eligible for screening, 9/9 (100%) were referred to a high-risk breast clinic.

CONCLUSION:

Among patients that completed the TC breast cancer risk assessment in a gynecologic oncology clinic, approximately 1 in 5 were identified to be at significantly elevated lifetime risk for breast cancer. The gynecologic oncologist's office might offer a convenient and feasible setting to incorporate this risk assessment into routine patient care, as gynecologic oncologists often have long-term patient relationships and participate in survivorship care.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Breast Neoplasms Limits: Adult / Aged / Female / Humans / Middle aged Language: En Journal: Gynecol Oncol Year: 2024 Type: Article Affiliation country: United States

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Breast Neoplasms Limits: Adult / Aged / Female / Humans / Middle aged Language: En Journal: Gynecol Oncol Year: 2024 Type: Article Affiliation country: United States