Literature DB >> 21142663

Qualitative age interactions in breast cancer studies: a mini-review.

Ismail Jatoi1, William F Anderson.   

Abstract

A qualitative age interaction is defined as the reversal of relative risks or rates according to age at onset, and is often evident in studies that examine the etiology, prognosis and treatment of breast cancer. For example, incidence rates (or risks) are higher for aggressive when compared with indolent breast cancers prior to age 40-50 years, after which rates are higher for indolent tumors. Nulliparity and obesity decrease breast cancer risk in younger women, but increase risk in older women. Curves depicting the annual hazard of breast cancer death are shaped differently for the early- and late-onset tumors. Clinical trials for mammography screening, fenretinide chemoprevention and neo-adjuvant chemotherapy show opposite effects in younger and older women. Finally, high-risk/early onset breast cancers are more common among African-American women than Caucasian women, and this may partly account for the racial survival disparities. Taken together, these examples imply that aging may modify breast cancer risk, prognosis and treatment. These qualitative age interactions (or effect modifications) are important because they suggest that high-risk/early-onset and low-risk/late-onset breast cancers are different diseases, derived from different carcinogenic pathways. When age interactions are suspected, breast cancer studies should be stratified by early versus late age of onset or analyzed age specifically.

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Year:  2010        PMID: 21142663     DOI: 10.2217/fon.10.139

Source DB:  PubMed          Journal:  Future Oncol        ISSN: 1479-6694            Impact factor:   3.404


  16 in total

1.  Prediagnostic Sex Steroid Hormones in Relation to Male Breast Cancer Risk.

Authors:  Louise A Brinton; Tim J Key; Laurence N Kolonel; Karin B Michels; Howard D Sesso; Giske Ursin; Stephen K Van Den Eeden; Shannon N Wood; Roni T Falk; Dominick Parisi; Chantal Guillemette; Patrick Caron; Véronique Turcotte; Laurel A Habel; Claudine J Isaacs; Elio Riboli; Elisabete Weiderpass; Michael B Cook
Journal:  J Clin Oncol       Date:  2015-05-11       Impact factor: 44.544

2.  Influence of age as a continuous variable on the prognosis of patients with pT1-2N1 breast cancer.

Authors:  Xu-Ran Zhao; Yu Tang; Hong-Fen Wu; Qi-Shuai Guo; Yu-Jing Zhang; Mei Shi; Jing Cheng; Hong-Mei Wang; Min Liu; Chang-Ying Ma; Ge Wen; Xiao-Hu Wang; Hui Fang; Hao Jing; Yong-Wen Song; Jing Jin; Yue-Ping Liu; Bo Chen; Shu-Nan Qi; Ning Li; Yuan Tang; Ning-Ning Lu; Na Zhang; Ye-Xiong Li; Shu-Lian Wang
Journal:  Breast       Date:  2022-08-16       Impact factor: 4.254

3.  Breast cancer risk in older women: results from the NIH-AARP Diet and Health Study.

Authors:  Louise A Brinton; Llewellyn Smith; Gretchen L Gierach; Ruth M Pfeiffer; Sarah J Nyante; Mark E Sherman; Yikyung Park; Albert R Hollenbeck; Cher M Dallal
Journal:  Cancer Causes Control       Date:  2014-05-09       Impact factor: 2.506

4.  Risk factors and natural history of breast cancer in younger Chinese women.

Authors:  Winnie Yeo; Hang-Mei Lee; Amy Chan; Emily Yy Chan; Miranda Cm Chan; Keeng-Wai Chan; Sharon Ww Chan; Foon-Yiu Cheung; Polly Sy Cheung; Peter Hk Choi; Josette Sy Chor; William Wl Foo; Wing-Hong Kwan; Stephen Ck Law; Lawrence Pk Li; Janice Wh Tsang; Yuk Tung; Lorna Ls Wong; Ting-Ting Wong; Chun-Chung Yau; Tsz-Kok Yau; Benny Cy Zee
Journal:  World J Clin Oncol       Date:  2014-12-10

5.  Breast cancer in Portugal: Temporal trends and age-specific incidence by geographic regions.

Authors:  Gonçalo Forjaz de Lacerda; Scott P Kelly; Joana Bastos; Clara Castro; Alexandra Mayer; Angela B Mariotto; William F Anderson
Journal:  Cancer Epidemiol       Date:  2018-03-13       Impact factor: 2.984

6.  The effect of local therapy on breast cancer mortality: is there an age-interaction?

Authors:  Ismail Jatoi
Journal:  Indian J Surg Oncol       Date:  2013-11-05

7.  Analysis of terminal duct lobular unit involution in luminal A and basal breast cancers.

Authors:  Xiaohong R Yang; Jonine D Figueroa; Roni T Falk; Hong Zhang; Ruth M Pfeiffer; Stephen M Hewitt; Jolanta Lissowska; Beata Peplonska; Louise Brinton; Montserrat Garcia-Closas; Mark E Sherman
Journal:  Breast Cancer Res       Date:  2012-04-18       Impact factor: 6.466

8.  Association between body mass index and risk of breast cancer among females of north India.

Authors:  Mahavir Singh; Babita Jangra
Journal:  South Asian J Cancer       Date:  2013-07

9.  Postpartum breast involution reveals regression of secretory lobules mediated by tissue-remodeling.

Authors:  Sonali Jindal; Dexiang Gao; Pat Bell; Grethe Albrektsen; Susan M Edgerton; Christine B Ambrosone; Ann D Thor; Virginia F Borges; Pepper Schedin
Journal:  Breast Cancer Res       Date:  2014-03-28       Impact factor: 6.466

10.  Breast cancer molecular subtypes and survival in a hospital-based sample in Puerto Rico.

Authors:  Ana Patricia Ortiz; Orquidea Frías; Javier Pérez; Fernando Cabanillas; Lisa Martínez; Carola Sánchez; David E Capó-Ramos; Carmen González-Keelan; Edna Mora; Erick Suárez
Journal:  Cancer Med       Date:  2013-04-18       Impact factor: 4.452

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