Literature DB >> 21693627

Localized fibroglandular tissue as a predictor of future tumor location within the breast.

Snehal M Pinto Pereira1, Valerie A McCormack, John H Hipwell, Carol Record, Louise S Wilkinson, Sue M Moss, David J Hawkes, Isabel dos-Santos-Silva.   

Abstract

BACKGROUND: Mammographic density (MD) is a strong marker of breast cancer risk, but it is unclear whether tumors arise specifically within dense tissue.
METHODS: In 231 British women diagnosed with breast cancer after at least one negative annual screening during a mammographic screening trial, we assessed whether tumor location was related to localized MD 5 years prior to diagnosis. Radiologists identified tumor locations on digitised films. We used a validated algorithm to align serial images from the same woman to locate the corresponding point on the prediagnostic film. A virtual 1 cm square grid was overlaid on prediagnostic films and MD calculated for each square within a woman's breast (mean = 271 squares/film). Conditional logistic regression, matching on a woman's breast, was used to estimate the odds of a tumor arising in a square in relation to its prediagnostic square-specific MD.
RESULTS: Median (interquartile range) prediagnostic MD was 98.2% (46.8%-100%) in 1 cm-squares that subsequently contained the tumor and 41.0% (31.5%-53.9%) for the whole breast. The odds of a tumor arising in a 1 cm-square were, respectively, 6.1 (95% CI: 1.9-20.1), 16.6 (5.2-53.2), and 25.5-fold (8.1-80.3) higher for squares in the second, third, and fourth quartiles of prediagnostic MD relative to those in the lowest quartile within that breast (P(trend) < 0.001). The corresponding odds ratios were 2.3 (1.3-4.0), 3.9 (2.3-6.4), and 4.6 (2.8-7.6) if a 3 cm-square grid was used.
CONCLUSION: Tumors arise predominantly within the radiodense breast tissue. IMPACT: Localized MD may be used as a predictor of subsequent tumor location within the breast. ©2011 AACR.

Entities:  

Mesh:

Year:  2011        PMID: 21693627      PMCID: PMC3154655          DOI: 10.1158/1055-9965.EPI-11-0423

Source DB:  PubMed          Journal:  Cancer Epidemiol Biomarkers Prev        ISSN: 1055-9965            Impact factor:   4.254


  26 in total

Review 1.  Breast tissue composition and susceptibility to breast cancer.

Authors:  Norman F Boyd; Lisa J Martin; Michael Bronskill; Martin J Yaffe; Neb Duric; Salomon Minkin
Journal:  J Natl Cancer Inst       Date:  2010-07-08       Impact factor: 13.506

2.  Changes in mammographic breast density and concomitant changes in breast cancer risk.

Authors:  C H van Gils; J H Hendriks; R Holland; N Karssemeijer; J D Otten; H Straatman; A L Verbeek
Journal:  Eur J Cancer Prev       Date:  1999-12       Impact factor: 2.497

Review 3.  Assessing women at high risk of breast cancer: a review of risk assessment models.

Authors:  Eitan Amir; Orit C Freedman; Bostjan Seruga; D Gareth Evans
Journal:  J Natl Cancer Inst       Date:  2010-04-28       Impact factor: 13.506

4.  Efficacy of bilateral prophylactic mastectomy in BRCA1 and BRCA2 gene mutation carriers.

Authors:  L C Hartmann; T A Sellers; D J Schaid; T S Frank; C L Soderberg; D L Sitta; M H Frost; C S Grant; J H Donohue; J E Woods; S K McDonnell; C W Vockley; A Deffenbaugh; F J Couch; R B Jenkins
Journal:  J Natl Cancer Inst       Date:  2001-11-07       Impact factor: 13.506

5.  Automated registration of diagnostic to prediagnostic x-ray mammograms: evaluation and comparison to radiologists' accuracy.

Authors:  Snehal M Pinto Pereira; John H Hipwell; Valerie A McCormack; Christine Tanner; Sue M Moss; Louise S Wilkinson; Lisanne A L Khoo; Catriona Pagliari; Pippa L Skippage; Carole J Kliger; David J Hawkes; Isabel M dos Santos Silva
Journal:  Med Phys       Date:  2010-09       Impact factor: 4.071

Review 6.  Prophylactic mastectomy for the prevention of breast cancer.

Authors:  Liz Lostumbo; Nora E Carbine; Judi Wallace
Journal:  Cochrane Database Syst Rev       Date:  2010-11-10

7.  Independent association of lobular involution and mammographic breast density with breast cancer risk.

Authors:  Karthik Ghosh; Celine M Vachon; V Shane Pankratz; Robert A Vierkant; Stephanie S Anderson; Kathleen R Brandt; Daniel W Visscher; Carol Reynolds; Marlene H Frost; Lynn C Hartmann
Journal:  J Natl Cancer Inst       Date:  2010-10-29       Impact factor: 13.506

8.  Columnar cell lesions, mammographic density and breast cancer risk.

Authors:  Gulisa Turashvili; Steven McKinney; Lisa Martin; Karen A Gelmon; Peter Watson; Norman Boyd; Samuel Aparicio
Journal:  Breast Cancer Res Treat       Date:  2008-06-28       Impact factor: 4.872

Review 9.  Critical assessment of new risk factors for breast cancer: considerations for development of an improved risk prediction model.

Authors:  Richard J Santen; Norman F Boyd; Rowan T Chlebowski; Steven Cummings; Jack Cuzick; Mitch Dowsett; Douglas Easton; John F Forbes; Tim Key; Susan E Hankinson; Anthony Howell; James Ingle
Journal:  Endocr Relat Cancer       Date:  2007-06       Impact factor: 5.678

Review 10.  Mammographic density, lobular involution, and risk of breast cancer.

Authors:  O M Ginsburg; L J Martin; N F Boyd
Journal:  Br J Cancer       Date:  2008-09-09       Impact factor: 7.640

View more
  23 in total

1.  CD36 repression activates a multicellular stromal program shared by high mammographic density and tumor tissues.

Authors:  Rosa Anna DeFilippis; Hang Chang; Nancy Dumont; Joseph T Rabban; Yunn-Yi Chen; Gerald V Fontenay; Hal K Berman; Mona L Gauthier; Jianxin Zhao; Donglei Hu; James J Marx; Judy A Tjoe; Elad Ziv; Maria Febbraio; Karla Kerlikowske; Bahram Parvin; Thea D Tlsty
Journal:  Cancer Discov       Date:  2012-07-09       Impact factor: 39.397

2.  International Consortium on Mammographic Density: Methodology and population diversity captured across 22 countries.

Authors:  Valerie A McCormack; Anya Burton; Isabel dos-Santos-Silva; John H Hipwell; Caroline Dickens; Dorria Salem; Rasha Kamal; Mikael Hartman; Charmaine Pei Ling Lee; Kee-Seng Chia; Vahit Ozmen; Mustafa Erkin Aribal; Anath Arzee Flugelman; Martín Lajous; Ruy Lopez-Riduara; Megan Rice; Isabelle Romieu; Giske Ursin; Samera Qureshi; Huiyan Ma; Eunjung Lee; Carla H van Gils; Johanna O P Wanders; Sudhir Vinayak; Rose Ndumia; Steve Allen; Sarah Vinnicombe; Sue Moss; Jong Won Lee; Jisun Kim; Ana Pereira; Maria Luisa Garmendia; Reza Sirous; Mehri Sirous; Beata Peplonska; Agnieszka Bukowska; Rulla M Tamimi; Kimberly Bertrand; Chisato Nagata; Ava Kwong; Celine Vachon; Christopher Scott; Beatriz Perez-Gomez; Marina Pollan; Gertraud Maskarinec; Graham Giles; John Hopper; Jennifer Stone; Nadia Rajaram; Soo-Hwang Teo; Shivaani Mariapun; Martin J Yaffe; Joachim Schüz; Anna M Chiarelli; Linda Linton; Norman F Boyd
Journal:  Cancer Epidemiol       Date:  2015-12-24       Impact factor: 2.984

3.  Effect of Vitamin D Supplementation on Breast Cancer Biomarkers: CALGB 70806 (Alliance) Study Design and Baseline Data.

Authors:  Ogheneruona Apoe; Sin-Ho Jung; Heshan Liu; Drew K Seisler; Jayne Charlamb; Patricia Zekan; Lili X Wang; Gary W Unzeitig; Judy Garber; James Marshall; Marie Wood
Journal:  Am J Hematol Oncol       Date:  2016-07

4.  3D MRI for Quantitative Analysis of Quadrant Percent Breast Density: Correlation with Quadrant Location of Breast Cancer.

Authors:  Jeon-Hor Chen; Fuyi Liao; Yang Zhang; Yifan Li; Chia-Ju Chang; Chen-Pin Chou; Tsung-Lung Yang; Min-Ying Su
Journal:  Acad Radiol       Date:  2017-01-26       Impact factor: 3.173

5.  Determinants of the reliability of ultrasound tomography sound speed estimates as a surrogate for volumetric breast density.

Authors:  Zeina G Khodr; Mark A Sak; Ruth M Pfeiffer; Nebojsa Duric; Peter Littrup; Lisa Bey-Knight; Haythem Ali; Patricia Vallieres; Mark E Sherman; Gretchen L Gierach
Journal:  Med Phys       Date:  2015-10       Impact factor: 4.071

6.  Novel Associations between Common Breast Cancer Susceptibility Variants and Risk-Predicting Mammographic Density Measures.

Authors:  Jennifer Stone; Deborah J Thompson; Isabel Dos Santos Silva; Christopher Scott; Rulla M Tamimi; Sara Lindstrom; Peter Kraft; Aditi Hazra; Jingmei Li; Louise Eriksson; Kamila Czene; Per Hall; Matt Jensen; Julie Cunningham; Janet E Olson; Kristen Purrington; Fergus J Couch; Judith Brown; Jean Leyland; Ruth M L Warren; Robert N Luben; Kay-Tee Khaw; Paula Smith; Nicholas J Wareham; Sebastian M Jud; Katharina Heusinger; Matthias W Beckmann; Julie A Douglas; Kaanan P Shah; Heang-Ping Chan; Mark A Helvie; Loic Le Marchand; Laurence N Kolonel; Christy Woolcott; Gertraud Maskarinec; Christopher Haiman; Graham G Giles; Laura Baglietto; Kavitha Krishnan; Melissa C Southey; Carmel Apicella; Irene L Andrulis; Julia A Knight; Giske Ursin; Grethe I Grenaker Alnaes; Vessela N Kristensen; Anne-Lise Borresen-Dale; Inger Torhild Gram; Manjeet K Bolla; Qin Wang; Kyriaki Michailidou; Joe Dennis; Jacques Simard; Paul Pharoah; Alison M Dunning; Douglas F Easton; Peter A Fasching; V Shane Pankratz; John L Hopper; Celine M Vachon
Journal:  Cancer Res       Date:  2015-04-10       Impact factor: 12.701

7.  Common breast cancer susceptibility variants in LSP1 and RAD51L1 are associated with mammographic density measures that predict breast cancer risk.

Authors:  Celine M Vachon; Christopher G Scott; Peter A Fasching; Per Hall; Rulla M Tamimi; Jingmei Li; Jennifer Stone; Carmel Apicella; Fabrice Odefrey; Gretchen L Gierach; Sebastian M Jud; Katharina Heusinger; Matthias W Beckmann; Marina Pollan; Pablo Fernández-Navarro; Anna Gonzalez-Neira; Javier Benitez; Carla H van Gils; Mariëtte Lokate; N Charlotte Onland-Moret; Petra H M Peeters; Judith Brown; Jean Leyland; Jajini S Varghese; Douglas F Easton; Deborah J Thompson; Robert N Luben; Ruth M L Warren; Nicholas J Wareham; Ruth J F Loos; Kay-Tee Khaw; Giske Ursin; Eunjung Lee; Simon A Gayther; Susan J Ramus; Rosalind A Eeles; Martin O Leach; Gek Kwan-Lim; Fergus J Couch; Graham G Giles; Laura Baglietto; Kavitha Krishnan; Melissa C Southey; Loic Le Marchand; Laurence N Kolonel; Christy Woolcott; Gertraud Maskarinec; Christopher A Haiman; Kate Walker; Nichola Johnson; Valeria A McCormack; Margarethe Biong; Grethe I G Alnaes; Inger Torhild Gram; Vessela N Kristensen; Anne-Lise Børresen-Dale; Sara Lindström; Susan E Hankinson; David J Hunter; Irene L Andrulis; Julia A Knight; Norman F Boyd; Jonine D Figuero; Jolanta Lissowska; Ewa Wesolowska; Beata Peplonska; Agnieszka Bukowska; Edyta Reszka; JianJun Liu; Louise Eriksson; Kamila Czene; Tina Audley; Anna H Wu; V Shane Pankratz; John L Hopper; Isabel dos-Santos-Silva
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2012-03-27       Impact factor: 4.254

8.  Comparison of mammographic density assessed as volumes and areas among women undergoing diagnostic image-guided breast biopsy.

Authors:  Gretchen L Gierach; Berta M Geller; John A Shepherd; Deesha A Patel; Pamela M Vacek; Donald L Weaver; Rachael E Chicoine; Ruth M Pfeiffer; Bo Fan; Amir Pasha Mahmoudzadeh; Jeff Wang; Jason M Johnson; Sally D Herschorn; Louise A Brinton; Mark E Sherman
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2014-08-19       Impact factor: 4.254

9.  Evaluation of the association between quantitative mammographic density and breast cancer occurred in different quadrants.

Authors:  Siwa Chan; Jeon-Hor Chen; Shunshan Li; Rita Chang; Darh-Cherng Yeh; Ruey-Feng Chang; Lee-Ren Yeh; Jessica Kwong; Min-Ying Su
Journal:  BMC Cancer       Date:  2017-04-17       Impact factor: 4.430

10.  Relationship of Terminal Duct Lobular Unit Involution of the Breast with Area and Volume Mammographic Densities.

Authors:  Gretchen L Gierach; Deesha A Patel; Ruth M Pfeiffer; Jonine D Figueroa; Laura Linville; Daphne Papathomas; Jason M Johnson; Rachael E Chicoine; Sally D Herschorn; John A Shepherd; Jeff Wang; Serghei Malkov; Pamela M Vacek; Donald L Weaver; Bo Fan; Amir Pasha Mahmoudzadeh; Maya Palakal; Jackie Xiang; Hannah Oh; Hisani N Horne; Brian L Sprague; Stephen M Hewitt; Louise A Brinton; Mark E Sherman
Journal:  Cancer Prev Res (Phila)       Date:  2015-12-08
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.