Literature DB >> 12677142

Rating the risk factors for breast cancer.

S Eva Singletary1.   

Abstract

OBJECTIVE: To update and summarize evidence of risk factors for breast cancer. SUMMARY BACKGROUND DATA: Women who are at high risk for breast cancer have a variety of options available to them, including watchful waiting, prophylactic surgery, and chemoprevention. It is increasingly important to accurately assess a patient's risk profile to ensure that the cost/benefit ratio of the selected treatment is favorable.
METHODS: Estimates of relative risk for documented risk factors were obtained from seminal papers identified in previous reviews. These estimates were updated where appropriate with data from more recent reports using large sample sizes or presenting meta-analyses of previous studies. These reports were identified from a review of the Medline database from 1992 to 2002.
RESULTS: Risk factors that have received a great deal of publicity (hormone use, alcohol consumption, obesity, nulliparity) present a relatively modest relative risk for breast cancer (<2). Factors associated with a prior history of neoplastic disease or atypical hyperplasia and factors associated with a genetic predisposition significantly affect the risk of breast cancer, with relative risks ranging from 3 (for some cases of positive family history) to 200 (for premenopausal women positive for a BRCA mutation).
CONCLUSIONS: More precise tools, based on techniques of molecular biology such as microarray analysis, will be needed to assess individual risk for breast cancer.

Entities:  

Mesh:

Year:  2003        PMID: 12677142      PMCID: PMC1514477          DOI: 10.1097/01.SLA.0000059969.64262.87

Source DB:  PubMed          Journal:  Ann Surg        ISSN: 0003-4932            Impact factor:   12.969


  60 in total

1.  Loss of heterozygosity in benign breast epithelium in relation to breast cancer risk.

Authors:  David M Euhus; Leslie Cler; Narayan Shivapurkar; Sara Milchgrub; George N Peters; A Marilyn Leitch; Shashank Heda; Adi F Gazdar
Journal:  J Natl Cancer Inst       Date:  2002-06-05       Impact factor: 13.506

2.  Hormone replacement therapy for menopausal symptoms.

Authors:  J Maddison
Journal:  Lancet       Date:  1973-06-30       Impact factor: 79.321

3.  Menopause and breast cancer risk.

Authors:  D Trichopoulos; B MacMahon; P Cole
Journal:  J Natl Cancer Inst       Date:  1972-03       Impact factor: 13.506

4.  Breast cancer and hormone replacement therapy: collaborative reanalysis of data from 51 epidemiological studies of 52,705 women with breast cancer and 108,411 women without breast cancer. Collaborative Group on Hormonal Factors in Breast Cancer.

Authors: 
Journal:  Lancet       Date:  1997-10-11       Impact factor: 79.321

5.  Development and validation of a method for using breast core needle biopsies for gene expression microarray analyses.

Authors:  Matthew Ellis; Natalie Davis; Andrew Coop; Minetta Liu; Lisa Schumaker; Richard Y Lee; Rujirutana Srikanchana; Chris G Russell; Baljit Singh; William R Miller; Vered Stearns; Marie Pennanen; Theodore Tsangaris; Ann Gallagher; Aiyi Liu; Alan Zwart; Daniel F Hayes; Marc E Lippman; Yue Wang; Robert Clarke
Journal:  Clin Cancer Res       Date:  2002-05       Impact factor: 12.531

6.  The feasibility of using fine needle aspiration from primary breast cancers for cDNA microarray analyses.

Authors:  Laura Assersohn; Lisa Gangi; Yingdong Zhao; Mitch Dowsett; Richard Simon; Trevor J Powles; Edison T Liu
Journal:  Clin Cancer Res       Date:  2002-03       Impact factor: 12.531

7.  Intraductal carcinoma of the breast: follow-up after biopsy only.

Authors:  D L Page; W D Dupont; L W Rogers; M Landenberger
Journal:  Cancer       Date:  1982-02-15       Impact factor: 6.860

Review 8.  Postmenopausal hormone replacement therapy: scientific review.

Authors:  Heidi D Nelson; Linda L Humphrey; Peggy Nygren; Steven M Teutsch; Janet D Allan
Journal:  JAMA       Date:  2002-08-21       Impact factor: 56.272

9.  On the use of familial aggregation in population-based case probands for calculating penetrance.

Authors:  Colin B Begg
Journal:  J Natl Cancer Inst       Date:  2002-08-21       Impact factor: 13.506

10.  Breast cancer risk from low-dose exposures to ionizing radiation: results of parallel analysis of three exposed populations of women.

Authors:  C E Land; J D Boice; R E Shore; J E Norman; M Tokunaga
Journal:  J Natl Cancer Inst       Date:  1980-08       Impact factor: 13.506

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  67 in total

1.  The relation between different dimensions of alcohol consumption and burden of disease: an overview.

Authors:  Jürgen Rehm; Dolly Baliunas; Guilherme L G Borges; Kathryn Graham; Hyacinth Irving; Tara Kehoe; Charles D Parry; Jayadeep Patra; Svetlana Popova; Vladimir Poznyak; Michael Roerecke; Robin Room; Andriy V Samokhvalov; Benjamin Taylor
Journal:  Addiction       Date:  2010-03-15       Impact factor: 6.526

2.  Power spectral analysis of mammographic parenchymal patterns for breast cancer risk assessment.

Authors:  Hui Li; Maryellen L Giger; Olufunmilayo I Olopade; Michael R Chinander
Journal:  J Digit Imaging       Date:  2008-01-03       Impact factor: 4.056

3.  Association between the NBS1 Glu185Gln polymorphism and breast cancer risk: a meta-analysis.

Authors:  Fan Yao; Yue Fang; Bo Chen; Feng Jin; Shubao Wang
Journal:  Tumour Biol       Date:  2013-02-05

4.  Androgen resistance in female mice increases susceptibility to DMBA-induced mammary tumors.

Authors:  Ulla Simanainen; Yan Ru Gao; Kirsty A Walters; Geoff Watson; Reena Desai; Mark Jimenez; David J Handelsman
Journal:  Horm Cancer       Date:  2012-06       Impact factor: 3.869

5.  Addressing barriers to uptake of breast cancer chemoprevention for patients and providers.

Authors:  Katherine D Crew
Journal:  Am Soc Clin Oncol Educ Book       Date:  2015

Review 6.  The significance of cholesterol and its metabolite, 27-hydroxycholesterol in breast cancer.

Authors:  Erik R Nelson
Journal:  Mol Cell Endocrinol       Date:  2017-09-15       Impact factor: 4.102

7.  Barriers and Facilitators to Patient-Provider Communication When Discussing Breast Cancer Risk to Aid in the Development of Decision Support Tools.

Authors:  Haeseung Yi; Tong Xiao; Parijatham S Thomas; Alejandra N Aguirre; Cindy Smalletz; Jill Dimond; Joseph Finkelstein; Katherine Infante; Meghna Trivedi; Raven David; Jennifer Vargas; Katherine D Crew; Rita Kukafka
Journal:  AMIA Annu Symp Proc       Date:  2015-11-05

8.  Firm measures are required to effect any significant decrease in the Japanese age-adjusted mortality rate from malignant neoplasms for the 21st century.

Authors:  Shigeyuki Nakaji; Qiang Liu; Tatsuya Yamamoto; Yukika Kakuta; Juichi Sakamoto; Kazuo Sugawara; John C Bailar
Journal:  Eur J Epidemiol       Date:  2004       Impact factor: 8.082

9.  SULT1E1 and ID2 genes as candidates for inherited predisposition to breast and ovarian cancer in Jewish women.

Authors:  Shimrit Cohen; Yael Laitman; Bella Kaufman; Roni Milgrom; Uri Nir; Eitan Friedman
Journal:  Fam Cancer       Date:  2008-09-27       Impact factor: 2.375

10.  DNA Repair Gene Expression Levels as Indicators of Breast Cancer in the Breast Cancer Family Registry.

Authors:  Maya A Kappil; Yuyan Liao; Mary Beth Terry; Regina M Santella
Journal:  Anticancer Res       Date:  2016-08       Impact factor: 2.480

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