Literature DB >> 26850485

Genetic/Familial High-Risk Assessment: Breast and Ovarian, Version 2.2015.

Mary B Daly1, Robert Pilarski2, Jennifer E Axilbund3, Michael Berry4, Saundra S Buys5, Beth Crawford6, Meagan Farmer7, Susan Friedman8, Judy E Garber9, Seema Khan10, Catherine Klein11, Wendy Kohlmann5, Allison Kurian12, Jennifer K Litton13, Lisa Madlensky14, P Kelly Marcom15, Sofia D Merajver16, Kenneth Offit17, Tuya Pal18, Huma Rana9, Gwen Reiser19, Mark E Robson17, Kristen Mahoney Shannon20, Elizabeth Swisher21, Nicoleta C Voian22, Jeffrey N Weitzel23, Alison Whelan24, Myra J Wick25, Georgia L Wiesner26, Mary Dwyer27, Rashmi Kumar27, Susan Darlow27.   

Abstract

The NCCN Guidelines for Genetic/Familial High-Risk Assessment: Breast and Ovarian provide recommendations for genetic testing and counseling and risk assessment and management for hereditary cancer syndromes. Guidelines focus on syndromes associated with an increased risk of breast and/or ovarian cancer and are intended to assist with clinical and shared decision-making. These NCCN Guidelines Insights summarize major discussion points of the 2015 NCCN Genetic/Familial High-Risk Assessment: Breast and Ovarian panel meeting. Major discussion topics this year included multigene testing, risk management recommendations for less common genetic mutations, and salpingectomy for ovarian cancer risk reduction. The panel also discussed revisions to genetic testing criteria that take into account ovarian cancer histology and personal history of pancreatic cancer.
Copyright © 2016 by the National Comprehensive Cancer Network.

Entities:  

Mesh:

Year:  2016        PMID: 26850485     DOI: 10.6004/jnccn.2016.0018

Source DB:  PubMed          Journal:  J Natl Compr Canc Netw        ISSN: 1540-1405            Impact factor:   11.908


  69 in total

1.  BRCA1 and BRCA2 mutations and treatment strategies for breast cancer.

Authors:  Inês Godet; Daniele M Gilkes
Journal:  Integr Cancer Sci Ther       Date:  2017-02-27

2.  Engagement with Genetic Information and Uptake of Genetic Testing: the Role of Trust and Personal Cancer History.

Authors:  Megan C Roberts; Jennifer M Taber; William M Klein
Journal:  J Cancer Educ       Date:  2018-08       Impact factor: 2.037

3.  Patients with negative multi-gene panel testing: a back to the future paradox?

Authors:  Steven M Sorscher
Journal:  Fam Cancer       Date:  2017-07       Impact factor: 2.375

4.  THE GORDON WILSON LECTURE EVOLUTION OF CLINICAL CANCER GENETICS.

Authors:  Judy E Garber
Journal:  Trans Am Clin Climatol Assoc       Date:  2016

5.  Multigene Panel Testing Provides a New Perspective on Lynch Syndrome.

Authors:  Carin R Espenschied; Holly LaDuca; Shuwei Li; Rachel McFarland; Chia-Ling Gau; Heather Hampel
Journal:  J Clin Oncol       Date:  2017-05-17       Impact factor: 44.544

6.  Payer Coverage for Hereditary Cancer Panels: Barriers, Opportunities, and Implications for the Precision Medicine Initiative.

Authors:  Julia R Trosman; Christine B Weldon; Michael P Douglas; Allison W Kurian; R Kate Kelley; Patricia A Deverka; Kathryn A Phillips
Journal:  J Natl Compr Canc Netw       Date:  2017-02-10       Impact factor: 11.908

Review 7.  Family Communication, Risk Perception and Cancer Knowledge of Young Adults from BRCA1/2 Families: a Systematic Review.

Authors:  Alison L Young; Phyllis N Butow; Janine Vetsch; Veronica F Quinn; Andrea F Patenaude; Katherine M Tucker; Claire E Wakefield
Journal:  J Genet Couns       Date:  2017-06-30       Impact factor: 2.537

8.  Analysis of BRCA1/2 mutation spectrum and prevalence in unselected Chinese breast cancer patients by next-generation sequencing.

Authors:  Guoli Li; Xinwu Guo; Lili Tang; Ming Chen; Xipeng Luo; Limin Peng; Xunxun Xu; Shouman Wang; Zhi Xiao; Wenjun Yi; Lizhong Dai; Jun Wang
Journal:  J Cancer Res Clin Oncol       Date:  2017-06-29       Impact factor: 4.553

9.  Evolution of Hereditary Breast Cancer Genetic Services: Are Changes Reflected in the Knowledge and Clinical Practices of Florida Providers?

Authors:  Deborah Cragun; Courtney Scherr; Lucia Camperlengo; Susan T Vadaparampil; Tuya Pal
Journal:  Genet Test Mol Biomarkers       Date:  2016-08-15

10.  Breast cancer risk prediction using a clinical risk model and polygenic risk score.

Authors:  Yiwey Shieh; Donglei Hu; Lin Ma; Scott Huntsman; Charlotte C Gard; Jessica W T Leung; Jeffrey A Tice; Celine M Vachon; Steven R Cummings; Karla Kerlikowske; Elad Ziv
Journal:  Breast Cancer Res Treat       Date:  2016-08-26       Impact factor: 4.872

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