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Published in: Cancer Causes & Control 1/2012

01-01-2012 | Original paper

Bodyweight and other correlates of symptom-detected breast cancers in a population offered screening

Authors: Anne Kricker, Tracey DiSipio, Jennifer Stone, Chris Goumas, Jane E. Armes, Dorota M. Gertig, Bruce K. Armstrong

Published in: Cancer Causes & Control | Issue 1/2012

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Abstract

Objective

To determine the factors associated with symptom-detected breast cancers in a population offered screening.

Methods

We interviewed 1,459 Australian women aged 40–69, 946 with symptom-detected and 513 with mammogram-detected invasive breast cancers ≥1.1 cm in diameter about their personal, mammogram, and breast histories before diagnosis and reviewed medical records for tumor characteristics and mammogram dates, calculating ORs and 95% confidence intervals (CIs) for symptom- versus mammogram-detected cancers in logistic regression models.

Results

Lack of regular mammograms (<2 mammograms in the 4.5 years before diagnosis) was the strongest correlate of symptom-detected breast cancer (OR = 3.04 for irregular or no mammograms). In women who had regular mammograms (≥2 mammograms in the 4.5 years before diagnosis), the independent correlates of symptom-detected cancers were low BMI (OR < 25 kg/m2 vs. ≥ 30 kg/m2 = 2.18, 95% CI 1.23–3.84; p = 0.008), increased breast density (available in 498 women) (OR highest quarter vs. lowest = 3.50, 95% CI 1.76–6.97; p trend = 0.004), high-grade cancer, and a larger cancer (each p < 0.01). In women who did not have regular mammograms, the independent correlates were age <50 years, a first cancer, and a ≥2-cm cancer. Smoking appeared to modify the association of symptom-detected cancer with low BMI (higher ORs for low BMI in current smokers) and estrogen receptor (ER) status (higher ORs for low BMI in ER cancers).

Conclusion

Women with low BMI may benefit from a tailored approach to breast cancer detection, particularly if they smoke.
Literature
1.
go back to reference Newcomer LM, Newcomb PA, Trentham-Dietz A et al (2002) Detection method and breast carcinoma histology. Cancer 95(3):470–477PubMedCrossRef Newcomer LM, Newcomb PA, Trentham-Dietz A et al (2002) Detection method and breast carcinoma histology. Cancer 95(3):470–477PubMedCrossRef
2.
go back to reference Cheung S, Greenway N, Lagord C, Williams L, Kearns O, Lawrence G (2009) All breast cancers report. A UK analysis of all symptomatic and screen-detected breast cancers diagnosed in 2006. National Cancer Intelligence Network, NHS Cancer Screening Programmes Cheung S, Greenway N, Lagord C, Williams L, Kearns O, Lawrence G (2009) All breast cancers report. A UK analysis of all symptomatic and screen-detected breast cancers diagnosed in 2006. National Cancer Intelligence Network, NHS Cancer Screening Programmes
3.
go back to reference International Agency for Research on Cancer (2002) Breast cancer screening. International Agency for Research on Cancer, Lyon International Agency for Research on Cancer (2002) Breast cancer screening. International Agency for Research on Cancer, Lyon
4.
go back to reference Australian Institute of Health and Welfare (AIHW) (2006) Breast screen Australia monitoring report 2002–2003. AIHW (Cancer Series no. 32), Canberra Australian Institute of Health and Welfare (AIHW) (2006) Breast screen Australia monitoring report 2002–2003. AIHW (Cancer Series no. 32), Canberra
5.
go back to reference Taylor R, Supramaniam R, Rickard M, Estoesta J, Moreira C (2002) Interval breast cancers in New South Wales, Australia, and comparisons with trials and other mammographic screening programmes. J Med Screen 9(1):20–25PubMedCrossRef Taylor R, Supramaniam R, Rickard M, Estoesta J, Moreira C (2002) Interval breast cancers in New South Wales, Australia, and comparisons with trials and other mammographic screening programmes. J Med Screen 9(1):20–25PubMedCrossRef
6.
go back to reference Bennett RL, Sellars SJ, Moss SM (2011) Interval cancers in the NHS breast cancer screening programme in England, Wales and Northern Ireland. Br J Cancer 104(4):571–577PubMedCrossRef Bennett RL, Sellars SJ, Moss SM (2011) Interval cancers in the NHS breast cancer screening programme in England, Wales and Northern Ireland. Br J Cancer 104(4):571–577PubMedCrossRef
7.
go back to reference Australian Institute of Health and Welfare, National Breast Cancer Centre (2001) Breast cancer size and nodal status. AIHW, Canberra Australian Institute of Health and Welfare, National Breast Cancer Centre (2001) Breast cancer size and nodal status. AIHW, Canberra
8.
go back to reference Porter PL, El-Bastawissi AY, Mandelson MT et al (1999) Breast tumor characteristics as predictors of mammographic detection: comparison of interval- and screen-detected cancers. J Natl Cancer Inst 91(23):2020–2028PubMedCrossRef Porter PL, El-Bastawissi AY, Mandelson MT et al (1999) Breast tumor characteristics as predictors of mammographic detection: comparison of interval- and screen-detected cancers. J Natl Cancer Inst 91(23):2020–2028PubMedCrossRef
9.
go back to reference Kricker A, Newman B, Gertig DM, Goumas C, Armes J, Armstrong BK (2008) Why do large breast cancers still present in a population offered screening? Int J Cancer 123:2907–2914PubMedCrossRef Kricker A, Newman B, Gertig DM, Goumas C, Armes J, Armstrong BK (2008) Why do large breast cancers still present in a population offered screening? Int J Cancer 123:2907–2914PubMedCrossRef
10.
go back to reference Byng JW, Yaffe MJ, Jong RA et al (1998) Analysis of mammographic density and breast cancer risk from digitized mammograms. Radiographics 18(6):1587–1598PubMed Byng JW, Yaffe MJ, Jong RA et al (1998) Analysis of mammographic density and breast cancer risk from digitized mammograms. Radiographics 18(6):1587–1598PubMed
11.
go back to reference Simpson JA, English DR, MacInnis RJ, Gertig DM, Hopper JL, Giles GG (2007) A comparison of different methods for including ‘age at menopause’ in analyses of the association between hormone replacement therapy use and breast cancer. J Fam Plann Reprod Health Care 33(1):11–16PubMedCrossRef Simpson JA, English DR, MacInnis RJ, Gertig DM, Hopper JL, Giles GG (2007) A comparison of different methods for including ‘age at menopause’ in analyses of the association between hormone replacement therapy use and breast cancer. J Fam Plann Reprod Health Care 33(1):11–16PubMedCrossRef
12.
go back to reference WHO expert committee on physical status (1995) Physical status: the use and interpretation of anthropometry: report of a WHO expert committee. World Health Organisation, Geneva WHO expert committee on physical status (1995) Physical status: the use and interpretation of anthropometry: report of a WHO expert committee. World Health Organisation, Geneva
13.
go back to reference Yasui Y, Potter JD (1999) The shape of age-incidence curves of female breast cancer by hormone-receptor status. Cancer Causes Control 10(5):431–437PubMedCrossRef Yasui Y, Potter JD (1999) The shape of age-incidence curves of female breast cancer by hormone-receptor status. Cancer Causes Control 10(5):431–437PubMedCrossRef
14.
go back to reference Galea MH, Blamey RW, Elston CE, Ellis IO (1992) The Nottingham prognostic index in primary breast cancer. Breast Cancer Res Treat 22(3):207–219PubMedCrossRef Galea MH, Blamey RW, Elston CE, Ellis IO (1992) The Nottingham prognostic index in primary breast cancer. Breast Cancer Res Treat 22(3):207–219PubMedCrossRef
15.
go back to reference Australian Institute of Health and Welfare (AIHW) (2007) Breast screen Australia monitoring report 2003–2004. AIHW (Cancer Series no. 36), Canberra Australian Institute of Health and Welfare (AIHW) (2007) Breast screen Australia monitoring report 2003–2004. AIHW (Cancer Series no. 36), Canberra
16.
go back to reference Bihrmann K, Jensen A, Olsen AH et al (2008) Performance of systematic and non-systematic (‘opportunistic’) screening mammography: a comparative study from Denmark. J Med Screen 15(1):23–26PubMedCrossRef Bihrmann K, Jensen A, Olsen AH et al (2008) Performance of systematic and non-systematic (‘opportunistic’) screening mammography: a comparative study from Denmark. J Med Screen 15(1):23–26PubMedCrossRef
17.
go back to reference Elmore JG, Carney PA, Abraham LA et al (2004) The association between obesity and screening mammography accuracy. Arch Intern Med 164(10):1140–1147PubMedCrossRef Elmore JG, Carney PA, Abraham LA et al (2004) The association between obesity and screening mammography accuracy. Arch Intern Med 164(10):1140–1147PubMedCrossRef
18.
go back to reference Kerlikowske K, Walker R, Miglioretti DL, Desai A, Ballard-Barbash R, Buist DS (2008) Obesity, mammography use and accuracy, and advanced breast cancer risk. J Natl Cancer Inst 100(23):1724–1733PubMedCrossRef Kerlikowske K, Walker R, Miglioretti DL, Desai A, Ballard-Barbash R, Buist DS (2008) Obesity, mammography use and accuracy, and advanced breast cancer risk. J Natl Cancer Inst 100(23):1724–1733PubMedCrossRef
19.
go back to reference Bartow SA, Pathak DR, Mettler FA, Key CR, Pike MC (1995) Breast mammographic pattern: a concatenation of confounding and breast cancer risk factors. Am J Epidemiol 142(8):813–819PubMed Bartow SA, Pathak DR, Mettler FA, Key CR, Pike MC (1995) Breast mammographic pattern: a concatenation of confounding and breast cancer risk factors. Am J Epidemiol 142(8):813–819PubMed
20.
go back to reference Kerlikowske K, Grady D, Barclay J, Sickles EA, Ernster V (1996) Effect of age, breast density, and family history on the sensitivity of first screening mammography. JAMA 276(1):33–38PubMedCrossRef Kerlikowske K, Grady D, Barclay J, Sickles EA, Ernster V (1996) Effect of age, breast density, and family history on the sensitivity of first screening mammography. JAMA 276(1):33–38PubMedCrossRef
21.
go back to reference Banks E, Reeves G, Beral V et al (2004) Influence of personal characteristics of individual women on sensitivity and specificity of mammography in the Million Women Study: cohort study. BMJ 329(7464):477PubMedCrossRef Banks E, Reeves G, Beral V et al (2004) Influence of personal characteristics of individual women on sensitivity and specificity of mammography in the Million Women Study: cohort study. BMJ 329(7464):477PubMedCrossRef
22.
go back to reference Deglise C, Bouchardy C, Burri M et al (2010) Impact of obesity on diagnosis and treatment of breast cancer. Breast Cancer Res Treat 120(1):185–193PubMedCrossRef Deglise C, Bouchardy C, Burri M et al (2010) Impact of obesity on diagnosis and treatment of breast cancer. Breast Cancer Res Treat 120(1):185–193PubMedCrossRef
23.
go back to reference de Waard F, Collette HJ, Rombach JJ, Baanders-van Halewijn EA, Honing C (1984) The DOM project for the early detection of breast cancer, Utrecht, The Netherlands. J Chronic Dis 37(1):1–44PubMedCrossRef de Waard F, Collette HJ, Rombach JJ, Baanders-van Halewijn EA, Honing C (1984) The DOM project for the early detection of breast cancer, Utrecht, The Netherlands. J Chronic Dis 37(1):1–44PubMedCrossRef
24.
go back to reference Brekelmans CT, Peeters PH, Faber JA, Deurenberg JJ, Collette HJ (1994) The epidemiological profile of women with an interval cancer in the DOM screening programme. Breast Cancer Res Treat 30(3):223–232PubMedCrossRef Brekelmans CT, Peeters PH, Faber JA, Deurenberg JJ, Collette HJ (1994) The epidemiological profile of women with an interval cancer in the DOM screening programme. Breast Cancer Res Treat 30(3):223–232PubMedCrossRef
25.
go back to reference Mandelson MT, Oestreicher N, Porter PL et al (2000) Breast density as a predictor of mammographic detection: comparison of interval- and screen-detected cancers. J Natl Cancer Inst 92(13):1081–1087PubMedCrossRef Mandelson MT, Oestreicher N, Porter PL et al (2000) Breast density as a predictor of mammographic detection: comparison of interval- and screen-detected cancers. J Natl Cancer Inst 92(13):1081–1087PubMedCrossRef
26.
go back to reference De Stavola BL, Gravelle IH, Wang DY et al (1990) Relationship of mammographic parenchymal patterns with breast cancer risk factors and risk of breast cancer in a prospective study. Int J Epidemiol 19(2):247–254PubMedCrossRef De Stavola BL, Gravelle IH, Wang DY et al (1990) Relationship of mammographic parenchymal patterns with breast cancer risk factors and risk of breast cancer in a prospective study. Int J Epidemiol 19(2):247–254PubMedCrossRef
27.
go back to reference Sala E, Warren R, McCann J, Duffy S, Luben R, Day N (2000) High-risk mammographic parenchymal patterns, hormone replacement therapy and other risk factors: a case-control study. Int J Epidemiol 29(4):629–636PubMedCrossRef Sala E, Warren R, McCann J, Duffy S, Luben R, Day N (2000) High-risk mammographic parenchymal patterns, hormone replacement therapy and other risk factors: a case-control study. Int J Epidemiol 29(4):629–636PubMedCrossRef
28.
go back to reference Boyd NF, Martin LJ, Sun L et al (2006) Body size, mammographic density, and breast cancer risk. Cancer Epidemiol Biomarkers Prev 15(11):2086–2092PubMedCrossRef Boyd NF, Martin LJ, Sun L et al (2006) Body size, mammographic density, and breast cancer risk. Cancer Epidemiol Biomarkers Prev 15(11):2086–2092PubMedCrossRef
29.
go back to reference Sung J, Song YM, Stone J, Lee K, Kim SY (2010) Association of body size measurements and mammographic density in Korean women: the healthy twin study. Cancer Epidemiol Biomarkers Prev 19(6):1523–1531PubMedCrossRef Sung J, Song YM, Stone J, Lee K, Kim SY (2010) Association of body size measurements and mammographic density in Korean women: the healthy twin study. Cancer Epidemiol Biomarkers Prev 19(6):1523–1531PubMedCrossRef
30.
go back to reference Willett WC, Browne ML, Bain C et al (1985) Relative weight and risk of breast cancer among premenopausal women. Am J Epidemiol 122(5):731–740PubMed Willett WC, Browne ML, Bain C et al (1985) Relative weight and risk of breast cancer among premenopausal women. Am J Epidemiol 122(5):731–740PubMed
31.
go back to reference Hankinson SE, Willett WC, Manson JE et al (1995) Alcohol, height, and adiposity in relation to estrogen and prolactin levels in postmenopausal women. J Natl Cancer Inst 87(17):1297–1302PubMedCrossRef Hankinson SE, Willett WC, Manson JE et al (1995) Alcohol, height, and adiposity in relation to estrogen and prolactin levels in postmenopausal women. J Natl Cancer Inst 87(17):1297–1302PubMedCrossRef
32.
go back to reference Cunningham JE, Butler WM (2004) Racial disparities in female breast cancer in South Carolina: clinical evidence for a biological basis. Breast Cancer Res Treat 88(2):161–176PubMedCrossRef Cunningham JE, Butler WM (2004) Racial disparities in female breast cancer in South Carolina: clinical evidence for a biological basis. Breast Cancer Res Treat 88(2):161–176PubMedCrossRef
33.
go back to reference Chu KC, Anderson WF, Fritz A, Ries LA, Brawley OW (2001) Frequency distributions of breast cancer characteristics classified by estrogen receptor and progesterone receptor status for eight racial/ethnic groups. Cancer 92(1):37–45PubMedCrossRef Chu KC, Anderson WF, Fritz A, Ries LA, Brawley OW (2001) Frequency distributions of breast cancer characteristics classified by estrogen receptor and progesterone receptor status for eight racial/ethnic groups. Cancer 92(1):37–45PubMedCrossRef
34.
go back to reference Shen Y, Costantino JP, Qin J (2008) Tamoxifen chemoprevention treatment and time to first diagnosis of estrogen receptor-negative breast cancer. J Natl Cancer Inst 100(20):1448–1453PubMedCrossRef Shen Y, Costantino JP, Qin J (2008) Tamoxifen chemoprevention treatment and time to first diagnosis of estrogen receptor-negative breast cancer. J Natl Cancer Inst 100(20):1448–1453PubMedCrossRef
35.
go back to reference Vachon CM, Kuni CC, Anderson K, Anderson VE, Sellers TA (2000) Association of mammographically defined percent breast density with epidemiologic risk factors for breast cancer (United States). Cancer Causes Control 11(7):653–662PubMedCrossRef Vachon CM, Kuni CC, Anderson K, Anderson VE, Sellers TA (2000) Association of mammographically defined percent breast density with epidemiologic risk factors for breast cancer (United States). Cancer Causes Control 11(7):653–662PubMedCrossRef
36.
go back to reference Butler LM, Gold EB, Conroy SM et al (2010) Active, but not passive cigarette smoking was inversely associated with mammographic density. Cancer Causes Control 21(2):301–311PubMedCrossRef Butler LM, Gold EB, Conroy SM et al (2010) Active, but not passive cigarette smoking was inversely associated with mammographic density. Cancer Causes Control 21(2):301–311PubMedCrossRef
37.
go back to reference Bremnes Y, Ursin G, Bjurstam N, Gram IT (2007) Different measures of smoking exposure and mammographic density in postmenopausal Norwegian women: a cross-sectional study. Breast Cancer Res 9(5):R73PubMedCrossRef Bremnes Y, Ursin G, Bjurstam N, Gram IT (2007) Different measures of smoking exposure and mammographic density in postmenopausal Norwegian women: a cross-sectional study. Breast Cancer Res 9(5):R73PubMedCrossRef
38.
go back to reference Brand JS, Chan MF, Dowsett M, et al. (2011) Cigarette Smoking and Endogenous Sex Hormones in Postmenopausal Women. J Clin Endocrinol Metab. doi:10.1210/jc.2011-1165 Brand JS, Chan MF, Dowsett M, et al. (2011) Cigarette Smoking and Endogenous Sex Hormones in Postmenopausal Women. J Clin Endocrinol Metab. doi:10.​1210/​jc.​2011-1165
39.
go back to reference Pasquali R, Vicennati V, Bertazzo D et al (1997) Determinants of sex hormone-binding globulin blood concentrations in premenopausal and postmenopausal women with different estrogen status. Virgilio-Menopause-Health Group. Metabolism 46(1):5–9PubMedCrossRef Pasquali R, Vicennati V, Bertazzo D et al (1997) Determinants of sex hormone-binding globulin blood concentrations in premenopausal and postmenopausal women with different estrogen status. Virgilio-Menopause-Health Group. Metabolism 46(1):5–9PubMedCrossRef
40.
go back to reference Carney PA, Miglioretti DL, Yankaskas BC et al (2003) Individual and combined effects of age, breast density, and hormone replacement therapy use on the accuracy of screening mammography. Ann Intern Med 138(3):168–175PubMed Carney PA, Miglioretti DL, Yankaskas BC et al (2003) Individual and combined effects of age, breast density, and hormone replacement therapy use on the accuracy of screening mammography. Ann Intern Med 138(3):168–175PubMed
41.
go back to reference Kavanagh AM, Byrnes GB, Nickson C et al (2008) Using mammographic density to improve breast cancer screening outcomes. Cancer Epidemiol Biomarkers Prev 17(10):2818–2824PubMedCrossRef Kavanagh AM, Byrnes GB, Nickson C et al (2008) Using mammographic density to improve breast cancer screening outcomes. Cancer Epidemiol Biomarkers Prev 17(10):2818–2824PubMedCrossRef
42.
go back to reference Olsen AH, Bihrmann K, Jensen MB, Vejborg I, Lynge E (2009) Breast density and outcome of mammography screening: a cohort study. Br J Cancer 100(7):1205–1208PubMedCrossRef Olsen AH, Bihrmann K, Jensen MB, Vejborg I, Lynge E (2009) Breast density and outcome of mammography screening: a cohort study. Br J Cancer 100(7):1205–1208PubMedCrossRef
43.
go back to reference Aiello EJ, Buist DS, White E, Porter PL (2005) Association between mammographic breast density and breast cancer tumor characteristics. Cancer Epidemiol Biomarkers Prev 14(3):662–668PubMedCrossRef Aiello EJ, Buist DS, White E, Porter PL (2005) Association between mammographic breast density and breast cancer tumor characteristics. Cancer Epidemiol Biomarkers Prev 14(3):662–668PubMedCrossRef
44.
go back to reference Ghosh K, Brandt KR, Sellers TA et al (2008) Association of mammographic density with the pathology of subsequent breast cancer among postmenopausal women. Cancer Epidemiol Biomarkers Prev 17(4):872–879PubMedCrossRef Ghosh K, Brandt KR, Sellers TA et al (2008) Association of mammographic density with the pathology of subsequent breast cancer among postmenopausal women. Cancer Epidemiol Biomarkers Prev 17(4):872–879PubMedCrossRef
45.
go back to reference Australian Institute of Health and Welfare (AIHW) (2005) Breast screen Australia monitoring report 2001–2002. AIHW (Cancer Series no. 29), Canberra Australian Institute of Health and Welfare (AIHW) (2005) Breast screen Australia monitoring report 2001–2002. AIHW (Cancer Series no. 29), Canberra
46.
go back to reference Joensuu H, Lehtimaki T, Holli K et al (2004) Risk for distant recurrence of breast cancer detected by mammography screening or other methods. JAMA 292(9):1064–1073PubMedCrossRef Joensuu H, Lehtimaki T, Holli K et al (2004) Risk for distant recurrence of breast cancer detected by mammography screening or other methods. JAMA 292(9):1064–1073PubMedCrossRef
47.
go back to reference Sihto H, Lundin J, Lehtimaki T et al (2008) Molecular subtypes of breast cancers detected in mammography screening and outside of screening. Clin Cancer Res 14(13):4103–4110PubMedCrossRef Sihto H, Lundin J, Lehtimaki T et al (2008) Molecular subtypes of breast cancers detected in mammography screening and outside of screening. Clin Cancer Res 14(13):4103–4110PubMedCrossRef
48.
go back to reference Kavanagh AM, Giles GG, Mitchell H, Cawson JN (2000) The sensitivity, specificity, and positive predictive value of screening mammography and symptomatic status. J Med Screen 7(2):105–110PubMedCrossRef Kavanagh AM, Giles GG, Mitchell H, Cawson JN (2000) The sensitivity, specificity, and positive predictive value of screening mammography and symptomatic status. J Med Screen 7(2):105–110PubMedCrossRef
49.
go back to reference Schousboe JT, Kerlikowske K, Loh A, Cummings SR (2011) Personalizing mammography by breast density and other risk factors for breast cancer: analysis of health benefits and cost-effectiveness. Ann Intern Med 155(1):10–20PubMed Schousboe JT, Kerlikowske K, Loh A, Cummings SR (2011) Personalizing mammography by breast density and other risk factors for breast cancer: analysis of health benefits and cost-effectiveness. Ann Intern Med 155(1):10–20PubMed
50.
go back to reference Nelson HD, Tyne K, Naik A, Bougatsos C, Chan BK, Humphrey L (2009) Screening for breast cancer: an update for the US preventive services task force. Ann Intern Med 151(10):727–742PubMed Nelson HD, Tyne K, Naik A, Bougatsos C, Chan BK, Humphrey L (2009) Screening for breast cancer: an update for the US preventive services task force. Ann Intern Med 151(10):727–742PubMed
51.
go back to reference Kerlikowske K (2009) Evidence-based breast cancer prevention: the importance of individual risk. Ann Intern Med 151(10):750–752PubMed Kerlikowske K (2009) Evidence-based breast cancer prevention: the importance of individual risk. Ann Intern Med 151(10):750–752PubMed
Metadata
Title
Bodyweight and other correlates of symptom-detected breast cancers in a population offered screening
Authors
Anne Kricker
Tracey DiSipio
Jennifer Stone
Chris Goumas
Jane E. Armes
Dorota M. Gertig
Bruce K. Armstrong
Publication date
01-01-2012
Publisher
Springer Netherlands
Published in
Cancer Causes & Control / Issue 1/2012
Print ISSN: 0957-5243
Electronic ISSN: 1573-7225
DOI
https://doi.org/10.1007/s10552-011-9858-9

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