Literature DB >> 25491191

Acceptance and adherence to chemoprevention among women at increased risk of breast cancer.

Richard G Roetzheim1, Ji-Hyun Lee2, William Fulp3, Elizabeth Matos Gomez3, Elissa Clayton3, Sharon Tollin3, Nazanin Khakpour3, Christine Laronga3, Marie Catherine Lee3, John V Kiluk3.   

Abstract

BACKGROUND: Chemoprevention is an option for women who are at increased risk of breast cancer (five year risk ≥1.7%). It is uncertain, however, how often women accept and complete five years of therapy and whether clinical or demographic factors predict completion.
METHODS: Medical records were abstracted for 219 women whose five year risk of breast cancer was ≥1.7% and who were offered chemoprevention while attending a high risk breast clinic at the Moffitt Cancer Center. We examined the likelihood of accepting chemoprevention and completing five years of therapy, and potential clinical and demographic predictors of these outcomes, using multivariable logistic regression and survival analysis models.
RESULTS: There were 118/219 women (54.4%) who accepted a recommendation for chemoprevention and began therapy. The likelihood of accepting chemoprevention was associated with lifetime breast cancer risk and was higher for women with specific high risk conditions (lobular carcinoma in situ and atypical ductal hyperplasia). Women with osteoporosis and those that consumed alcohol were also more likely to accept medication. There were 58/118 (49.2%) women who stopped medication at least temporarily after starting therapy. Based on survival curves, an estimated 60% of women who begin chemoprevention will complete five years of therapy.
CONCLUSIONS: A substantial percentage of women at increased risk of breast cancer will decline chemoprevention and among those that accept therapy, approximately 40% will not be able to complete five years of therapy because of side effects.
Copyright © 2014 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Breast cancer; Breast cancer prevention; Chemoprevention; Lobular carcinoma in situ; Raloxifene; Tamoxifen

Mesh:

Substances:

Year:  2014        PMID: 25491191      PMCID: PMC4503358          DOI: 10.1016/j.breast.2014.11.006

Source DB:  PubMed          Journal:  Breast        ISSN: 0960-9776            Impact factor:   4.380


  35 in total

1.  Exemestane for breast-cancer prevention in postmenopausal women.

Authors:  Paul E Goss; James N Ingle; José E Alés-Martínez; Angela M Cheung; Rowan T Chlebowski; Jean Wactawski-Wende; Anne McTiernan; John Robbins; Karen C Johnson; Lisa W Martin; Eric Winquist; Gloria E Sarto; Judy E Garber; Carol J Fabian; Pascal Pujol; Elizabeth Maunsell; Patricia Farmer; Karen A Gelmon; Dongsheng Tu; Harriet Richardson
Journal:  N Engl J Med       Date:  2011-06-04       Impact factor: 91.245

2.  The lack, need, and opportunities for decision-making and informational tools to educate primary-care physicians and women about breast cancer chemoprevention.

Authors:  Peter M Ravdin
Journal:  Cancer Prev Res (Phila)       Date:  2010-06

3.  Effects of tamoxifen vs raloxifene on the risk of developing invasive breast cancer and other disease outcomes: the NSABP Study of Tamoxifen and Raloxifene (STAR) P-2 trial.

Authors:  Victor G Vogel; Joseph P Costantino; D Lawrence Wickerham; Walter M Cronin; Reena S Cecchini; James N Atkins; Therese B Bevers; Louis Fehrenbacher; Eduardo R Pajon; James L Wade; André Robidoux; Richard G Margolese; Joan James; Scott M Lippman; Carolyn D Runowicz; Patricia A Ganz; Steven E Reis; Worta McCaskill-Stevens; Leslie G Ford; V Craig Jordan; Norman Wolmark
Journal:  JAMA       Date:  2006-06-05       Impact factor: 56.272

4.  Implementation in a large health system of a program to identify women at high risk for breast cancer.

Authors:  William L Owens; Thomas J Gallagher; Michael J Kincheloe; Victoria L Ruetten
Journal:  J Oncol Pract       Date:  2011-03       Impact factor: 3.840

5.  Use of tamoxifen and raloxifene for breast cancer chemoprevention in 2010.

Authors:  Erika A Waters; Timothy S McNeel; Worta McCaskill Stevens; Andrew N Freedman
Journal:  Breast Cancer Res Treat       Date:  2012-05-24       Impact factor: 4.872

6.  Effects of raloxifene on cardiovascular events and breast cancer in postmenopausal women.

Authors:  Elizabeth Barrett-Connor; Lori Mosca; Peter Collins; Mary Jane Geiger; Deborah Grady; Marcel Kornitzer; Michelle A McNabb; Nanette K Wenger
Journal:  N Engl J Med       Date:  2006-07-13       Impact factor: 91.245

7.  Validation studies for models projecting the risk of invasive and total breast cancer incidence.

Authors:  J P Costantino; M H Gail; D Pee; S Anderson; C K Redmond; J Benichou; H S Wieand
Journal:  J Natl Cancer Inst       Date:  1999-09-15       Impact factor: 13.506

8.  Evaluation of breast cancer risk assessment packages in the family history evaluation and screening programme.

Authors:  E Amir; D G Evans; A Shenton; F Lalloo; A Moran; C Boggis; M Wilson; A Howell
Journal:  J Med Genet       Date:  2003-11       Impact factor: 6.318

9.  Atypia in random periareolar fine-needle aspiration affects the decision of women at high risk to take tamoxifen for breast cancer chemoprevention.

Authors:  Vanessa K Goldenberg; Victoria L Seewaldt; Victoria Scott; Gregory R Bean; Gloria Broadwater; Carol Fabian; Bruce Kimler; Carola Zalles; Isaac M Lipkus
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2007-05       Impact factor: 4.254

10.  Attitudes to prophylactic surgery and chemoprevention in Australian women at increased risk for breast cancer.

Authors:  B Meiser; P Butow; M Price; B Bennett; G Berry; K Tucker
Journal:  J Womens Health (Larchmt)       Date:  2003-10       Impact factor: 2.681

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  16 in total

1.  Chemoprevention Uptake among Women with Atypical Hyperplasia and Lobular and Ductal Carcinoma In Situ.

Authors:  Meghna S Trivedi; Austin M Coe; Alejandro Vanegas; Rita Kukafka; Katherine D Crew
Journal:  Cancer Prev Res (Phila)       Date:  2017-06-13

2.  Primary chemoprevention of breast cancer: Are the adverse effects too burdensome?

Authors:  Vinay Prasad; Marie Diener-West
Journal:  CMAJ       Date:  2015-03-23       Impact factor: 8.262

3.  One versus Two Breast Density Measures to Predict 5- and 10-Year Breast Cancer Risk.

Authors:  Karla Kerlikowske; Charlotte C Gard; Brian L Sprague; Jeffrey A Tice; Diana L Miglioretti
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2015-03-30       Impact factor: 4.254

4.  Benefits and harms of selective oestrogen receptor modulators (SERMs) to reduce breast cancer risk: a cross-sectional study of methods to communicate risk in primary care.

Authors:  Jennifer G McIntosh; Jesse Minshall; Sibel Saya; Adrian Bickerstaffe; Nadira Hewabandu; Ashleigh Qama; Jon D Emery
Journal:  Br J Gen Pract       Date:  2019-11-28       Impact factor: 5.386

5.  Lobular Carcinoma in Situ: A 29-Year Longitudinal Experience Evaluating Clinicopathologic Features and Breast Cancer Risk.

Authors:  Tari A King; Melissa Pilewskie; Shirin Muhsen; Sujata Patil; Starr K Mautner; Anna Park; Sabine Oskar; Elena Guerini-Rocco; Camilla Boafo; Jessica C Gooch; Marina De Brot; Jorge S Reis-Filho; Mary Morrogh; Victor P Andrade; Rita A Sakr; Monica Morrow
Journal:  J Clin Oncol       Date:  2015-09-14       Impact factor: 44.544

6.  Acceptability of Localized Cancer Risk Reduction Interventions Among Individuals at Average or High Risk for Cancer.

Authors:  Goli Samimi; Brandy M Heckman-Stoddard; Shelley S Kay; Bonny Bloodgood; Kisha I Coa; Jennifer L Robinson; Bethany Tennant; Leslie G Ford; Eva Szabo; Lori Minasian
Journal:  Cancer Prev Res (Phila)       Date:  2019-03-01

7.  Supraclavicular and Contralateral Axillary Lymph Node Involvement in Breast Cancer Patients.

Authors:  Suzanne B Coopey
Journal:  Ann Surg Oncol       Date:  2022-07-06       Impact factor: 4.339

8.  Symptoms and QOL as Predictors of Chemoprevention Adherence in NRG Oncology/NSABP Trial P-1.

Authors:  Stephanie R Land; Farzana L Walcott; Qing Liu; D Lawrence Wickerham; Joseph P Costantino; Patricia A Ganz
Journal:  J Natl Cancer Inst       Date:  2015-11-27       Impact factor: 13.506

9.  Experiencing the cancer of a loved one influences decision-making for breast cancer prevention.

Authors:  Tasleem J Padamsee; Anna Muraveva; Lisa D Yee; Celia E Wills; Electra D Paskett
Journal:  J Health Psychol       Date:  2017-12-15

10.  Dynamic Changes of Convolutional Neural Network-based Mammographic Breast Cancer Risk Score Among Women Undergoing Chemoprevention Treatment.

Authors:  Haley Manley; Simukayi Mutasa; Peter Chang; Elise Desperito; Katherine Crew; Richard Ha
Journal:  Clin Breast Cancer       Date:  2020-11-17       Impact factor: 3.225

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