Genomics|Features|Breast & Ovarian Cancer
Breast & Ovarian Cancer
Breast Cancer: Genomics in Prediction and Stratified Screening - April 23, 2014
CDC Info
CDC blog post:Using genomics in precision prevention of breast cancer
CDC Medscape Expert Commentary:Genetics and BRCA in Primary Care
Does breast or ovarian cancer run in your family?
Public health genomics implementation tool kit for health departments - check out BRCA section
How can we use genetic testing for stratified screening for common diseases such as breast cancer?
CDC Know:BRCA Tool
Knowing BRCA changed my life
New CDC blog post:Using genomics in precision prevention of breast cancer
Hereditary breast and ovarian cancers: moving toward more precise prevention, NIH Director Blog Post, Apr 14
Prediction of breast cancer risk based on profiling with common genetic variants.
Mavaddat N et al. J. Natl. Cancer Inst. 2015 May (5)
Twenty-five years of breast cancer risk models and their applications.
Gail MH et al. J. Natl. Cancer Inst. 2015 May (5)
Breast cancer prevention in the era of precision medicine.
Narod SA et al. J. Natl. Cancer Inst. 2015 May (5)
The contributions of breast density and common genetic variation to breast cancer risk.
Vachon CM et al. J. Natl. Cancer Inst. 2015 May (5)
Update on breast cancer risk prediction and prevention.
Sestak I et al. Curr. Opin. Obstet. Gynecol. 2015 Feb (1) 92-7
The role of genome sequencing in personalized breast cancer prevention.
Weiva Sieh, et al. Cancer Epidemiology Biomarkers and Prevention, October 23, 2014
Cancer genomics: Using big data to advance breast cancer risk prediction, by Srivani Ravoori, AACR blog post, Oct 23
Genomic sequencing more efficient in predicting breast cancer risk than previously thought,AACR, Oct 23
CDC blog post: How can we use genetic testing for stratified screening for common diseases such as breast cancer?
Breast cancer in young women: Share your story - April 20, 2015
CDC information: Share your story. Empower and educate young women
About 11% of new breast cancer cases in the United States affect women under the age of 45, but many young women may not realize they are at risk for this disease.
CDC Know:BRCA Tool
Some women carry certain genetic changes in their BRCA genes that increase their risks for getting breast, ovarian, and other kinds of cancers at a young age
Knowing BRCA changed my life, by Debbie Wasserman Schultz, CDC Blog Post 2014
CDC information: Does breast or ovarian cancer run in your family?
Webinar: Hereditary breast and ovarian cancer in public health, Genetic Alliance, 2014
CDC Tier 1 Genomic Applications Implementation Toolkit for Public Health Departments
Detailed Information on Hereditary Breast and Ovarian Cancer (HBOC)
CDC Podcast: Genetics and BRCA in primary care, Medscape, 2014
Association of type and location of BRCA1 and BRCA2 mutations with risk of breast and ovarian cancer.
Rebbeck TR et al. JAMA 2015 Apr 7. (13) 1347-61
Risk of breast and ovarian cancers may differ by BRCA1/2 mutation type, ASCO Post, Apr 8
Ovary removal is linked to lower breast cancer mortality in BRCA1 carriers, BMJ News, Apr 24
Effect of oophorectomy on survival after breast cancer in BRCA1 and BRCA2 mutation carriers
Metcalfe K et al. JAMA Oncology, April 23, 2015
Breast Cancer Gene Expression Profiling in Practice - April 13, 2015
Cost-effectiveness of the 21-gene breast cancer assay in Mexico.
Bargalló-Rocha JE et al. Adv Ther 2015 Mar 5.
Initial trends in the use of the 21-gene recurrence score assay for patients with breast cancer in the Medicare population, 2005-2009
Dinan MA, et al. JAMA Oncology, March 2015
The value of personalizing medicine: Medical oncologists? Views on gene expression profiling in breast cancer treatment
Bombard Y, et al. The Oncologist, March 2015
The 21-gene recurrence score complements IBTR! Estimates in early-stage, hormone receptor-positive, HER2-normal, lymph node-negative breast cancer.
Thaker NG, et al. Springerplus 2015 36
Oncotype DX in women and men with ER-positive, HER2-negative early stage breast cancer who are lymph node negative: A review of clinical effectiveness and guidelines
Ottawa (ON): Canadian Agency for Drugs and Technologies in Health 2014 Feb 20.
Clinical utility of gene-expression profiling in women with early breast cancer: an overview of systematic reviews.
Marrone M, et al. Genet. Med. 2014 Dec 4.
[uPA/PAI-1, Oncotype DX, MammaPrint(®). Prognosis and predictive values for clinical utility in breast cancer management].
Bellocq JP, et al. Ann Pathol 2014 Oct (5) 349-51
A study of the impact of the 21-gene breast cancer assay on the use of adjuvant chemotherapy in women with breast cancer in a Mexican public hospital.
Bargallo JE, et al. J Surg Oncol 2015 Feb (2) 203-7
Can mammographic and sonographic imaging features predict the Oncotype DX? recurrence score in T1 and T2, hormone receptor positive, HER2 negative and axillary lymph node negative breast cancers?
Yepes MM, et al. Breast Cancer Res. Treat. 2014 Nov (1) 117-23
The impact of Oncotype DX testing on breast cancer management and chemotherapy prescribing patterns in a tertiary referral centre.
McVeigh TP, et al. Eur. J. Cancer 2014 Nov (16) 2763-70
Genomic profile of breast cancer: cost-effectiveness analysis from the Spanish National Healthcare System perspective.
Seguí MÁ et al. Expert Rev Pharmacoecon Outcomes Res 2014 Dec (6) 889-99
Societal cost-effectiveness analysis of the 21-gene assay in estrogen-receptor-positive, lymph-node-negative early-stage breast cancer in Japan.
Yamauchi H, et al. BMC Health Serv Res 2014 372
Factors influencing Oncotype DX use in the management of early breast cancer: a single centre experience.
Zhu X, et al. Eur. J. Cancer 2014 Oct (15) 2544-9
Diagnostic tests based on gene expression profile in breast cancer: from background to clinical use.
Zanotti L, et al. Tumour Biol. 2014 Sep (9) 8461-70
Breast Cancer Genomics: Where Are We Going? March 31, 2015
CDC information: New analysis of breast cancer subtypes could lead to better risk stratification
Annual report to the Nation shows that mortality and incidence for most cancers continue to decline
Annual report to the Nation on the status of cancer, 1975-2011, featuring incidence of breast cancer subtypes by race/ethnicity, poverty, and state
Kohler B et al. JNCI, March 30, 2015
Breast cancer genomics from microarrays to massively parallel sequencing: paradigms and new insights.
Ng CK et al. J. Natl. Cancer Inst. 2015 (5)
Genomic profiling of breast cancers.
Curtis C et al. Curr. Opin. Obstet. Gynecol. 2015 Feb (1) 34-9
Intrinsic cancer subtypes-next steps into personalized medicine.
Santos C et al. Cell Oncol (Dordr) 2015 Jan 14.
New concepts in breast cancer genomics and genetics.
Goncalves R et al. Breast Cancer Res. 2014 (5) 460
Application of metabolomics in drug resistant breast cancer research.
Shajahan-Haq AN et al. Metabolites 2015 (1) 100-18
Research progress in applying proteomics technology to explore early diagnosis biomarkers of breast cancer, lung cancer and ovarian cancer.
Luo L et al. Asian Pac. J. Cancer Prev. 2014 (20) 8529-38
How many etiological subtypes of breast cancer: two, three, four, or more?
Anderson WF et al. J. Natl. Cancer Inst. 2014 Aug (8)
Computational prognostic indicators for breast cancer.
Yang X et al. Cancer Manag Res 2014 301-12
Genomic analysis of breast cancer heralds a changing treatment paradigm.
Ellis M et al. J Natl Compr Canc Netw 2014 May (5 Suppl) 750-2
Triple-negative breast cancer: bridging the gap from cancer genomics to predictive biomarkers.
Davis SL et al. Ther Adv Med Oncol 2014 May (3) 88-100
Principles and methods of integrative genomic analyses in cancer.
Kristensen VN et al. Nat. Rev. Cancer 2014 May (5) 299-313
Implications of functional proteomics in breast cancer.
Chae YK et al. Oncologist 2014 Apr (4) 328-35
Genetic and epigenetic aspects of breast cancer progression and therapy.
Byler S et al. Anticancer Res. 2014 Mar (3) 1071-7
The omics of triple-negative breast cancers.
Xu H et al. Clin. Chem. 2014 Jan (1) 122-33
Methylome sequencing in triple-negative breast cancer reveals distinct methylation clusters with prognostic value.
Stirzaker C et al. Nat Commun 2015 5899
Breast cancer genomics in the deep sequencing era.
Pillar N et al. Isr. Med. Assoc. J. 2014 Dec (12) 783-4
The Sweden Cancerome Analysis Network - Breast (SCAN-B) Initiative: a large-scale multicenter infrastructure towards implementation of breast cancer genomic analyses in the clinical routine.
Saal LH et al. Genome Med 2015 (1) 20
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