Literature DB >> 28130475

Breast Cancer Screening in the Precision Medicine Era: Risk-Based Screening in a Population-Based Trial.

Yiwey Shieh1, Martin Eklund1, Lisa Madlensky1, Sarah D Sawyer1, Carlie K Thompson1, Allison Stover Fiscalini1, Elad Ziv1, Laura J Van't Veer1, Laura J Esserman1, Jeffrey A Tice1.   

Abstract

Ongoing controversy over the optimal approach to breast cancer screening has led to discordant professional society recommendations, particularly in women age 40 to 49 years. One potential solution is risk-based screening, where decisions around the starting age, stopping age, frequency, and modality of screening are based on individual risk to maximize the early detection of aggressive cancers and minimize the harms of screening through optimal resource utilization. We present a novel approach to risk-based screening that integrates clinical risk factors, breast density, a polygenic risk score representing the cumulative effects of genetic variants, and sequencing for moderate- and high-penetrance germline mutations. We demonstrate how thresholds of absolute risk estimates generated by our prediction tools can be used to stratify women into different screening strategies (biennial mammography, annual mammography, annual mammography with adjunctive magnetic resonance imaging, defer screening at this time) while informing the starting age of screening for women age 40 to 49 years. Our risk thresholds and corresponding screening strategies are based on current evidence but need to be tested in clinical trials. The Women Informed to Screen Depending On Measures of risk (WISDOM) Study, a pragmatic, preference-tolerant randomized controlled trial of annual vs personalized screening, will study our proposed approach. WISDOM will evaluate the efficacy, safety, and acceptability of risk-based screening beginning in the fall of 2016. The adaptive design of this trial allows continued refinement of our risk thresholds as the trial progresses, and we discuss areas where we anticipate emerging evidence will impact our approach.
© The Author 2017. Published by Oxford University Press. All rights reserved. For Permissions, please e-mail: journals.permissions@oup.com.

Entities:  

Mesh:

Year:  2017        PMID: 28130475     DOI: 10.1093/jnci/djw290

Source DB:  PubMed          Journal:  J Natl Cancer Inst        ISSN: 0027-8874            Impact factor:   13.506


  59 in total

1.  Response to Peshkin, Isaacs, and Schwartz.

Authors:  Jennifer L Caswell-Jin; Allison W Kurian
Journal:  J Natl Cancer Inst       Date:  2019-08-01       Impact factor: 13.506

2.  The Complexity of Achieving the Promise of Precision Breast Cancer Screening.

Authors:  Jennifer S Haas
Journal:  J Natl Cancer Inst       Date:  2017-01-27       Impact factor: 13.506

3.  Age-based versus Risk-based Mammography Screening in Women 40-49 Years Old: A Cross-sectional Study.

Authors:  Elizabeth S Burnside; Amy Trentham-Dietz; Christina M Shafer; John M Hampton; Oguz Alagoz; Jennifer R Cox; Eric Mischo; Sarina B Schrager; Lee G Wilke
Journal:  Radiology       Date:  2019-06-11       Impact factor: 11.105

Review 4.  Personalised medicine and population health: breast and ovarian cancer.

Authors:  Steven A Narod
Journal:  Hum Genet       Date:  2018-10-17       Impact factor: 4.132

5.  Effects of Personalized Risk Information on Patients Referred for Lung Cancer Screening with Low-Dose CT.

Authors:  Paul K J Han; Christine Lary; Adam Black; Caitlin Gutheil; Hayley Mandeville; Jason Yahwak; Mayuko Fukunaga
Journal:  Med Decis Making       Date:  2019-10-20       Impact factor: 2.583

Review 6.  Genome-wide association studies and polygenic risk scores for skin cancer: clinically useful yet?

Authors:  M R Roberts; M M Asgari; A E Toland
Journal:  Br J Dermatol       Date:  2019-07-07       Impact factor: 9.302

7.  Breast Cancer Screening in Primary Care: A Call for Development and Validation of Patient-Oriented Shared Decision-Making Tools.

Authors:  Sarina Schrager; Elizabeth Burnside
Journal:  J Womens Health (Larchmt)       Date:  2018-05-14       Impact factor: 2.681

8.  Community education to enhance the more equitable use of precision medicine in Northern Manhattan.

Authors:  Grace C Hillyer; Karen M Schmitt; Andria Reyes; Alejandro Cruz; Maria Lizardo; Gary K Schwartz; Mary Beth Terry
Journal:  J Genet Couns       Date:  2020-03-10       Impact factor: 2.537

Review 9.  Common Genetic Variation and Breast Cancer Risk-Past, Present, and Future.

Authors:  Jenna Lilyquist; Kathryn J Ruddy; Celine M Vachon; Fergus J Couch
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2018-01-30       Impact factor: 4.254

10.  Determining Risk of Barrett's Esophagus and Esophageal Adenocarcinoma Based on Epidemiologic Factors and Genetic Variants.

Authors:  Jing Dong; Matthew F Buas; Puya Gharahkhani; Bradley J Kendall; Lynn Onstad; Shanshan Zhao; Lesley A Anderson; Anna H Wu; Weimin Ye; Nigel C Bird; Leslie Bernstein; Wong-Ho Chow; Marilie D Gammon; Geoffrey Liu; Carlos Caldas; Paul D Pharoah; Harvey A Risch; Prasad G Iyer; Brian J Reid; Laura J Hardie; Jesper Lagergren; Nicholas J Shaheen; Douglas A Corley; Rebecca C Fitzgerald; David C Whiteman; Thomas L Vaughan; Aaron P Thrift
Journal:  Gastroenterology       Date:  2017-12-13       Impact factor: 22.682

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.