Association of inflammatory and noninflammatory breast cancer with socioeconomic characteristics in the surveillance, epidemiology, and end results database, 2000-2007

Cancer Epidemiology Biomarkers and Prevention

Volumn 21, Issue 1, 2012, Pages 155-165

  Schlichting, Jennifer A ^a   Soliman, Amr S ^a   Schairer, Catherine ^d   Banerjee, Mousumi ^a   Rozek, Laura S ^a   Schottenfeld, David ^a,b   Harford, Joe B ^d   Merajver, Sofia D ^a,b,c  

^a UNIVERSITY OF MICHIGAN SCHOOL OF PUBLIC HEALTH   (United States)

^b UNIVERSITY OF MICHIGAN MEDICAL SCHOOL   (United States)

^c UNIVERSITY OF MICHIGAN   (United States)

^d NATIONAL CANCER INSTITUTE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ADULT; AMERICAN INDIAN; ARTICLE; ASIAN; CANCER EPIDEMIOLOGY; CANCER RISK; CAUCASIAN; CONTROLLED STUDY; DISEASE ASSOCIATION; EDUCATIONAL STATUS; ETHNICITY; FEMALE; HIGH SCHOOL GRADUATE; HISPANIC; HUMAN; INFLAMMATORY BREAST CANCER; MAJOR CLINICAL STUDY; NEGRO; POVERTY; PRIORITY JOURNAL; RISK FACTOR; RURAL POPULATION; SOCIAL STATUS; URBAN POPULATION; URBAN RURAL DIFFERENCE;

BREAST NEOPLASMS; FEMALE; HUMANS; INFLAMMATORY BREAST NEOPLASMS; MIDDLE AGED; SEER PROGRAM; SOCIOECONOMIC FACTORS; UNITED STATES;

EID: 84855485289     PISSN: 10559965     EISSN: None     Source Type: Journal    
DOI: 10.1158/1055-9965.EPI-11-0833     Document Type: Article

References (87)

1. Anderson WF, Chu KC, Chang S, Sherman ME. Comparison of age-specific incidence rate patterns for different histopathologic types of breast carcinoma. Cancer Epidemiol Biomarkers Prev 2004;13: 1128-35. (Pubitemid 38917901)
2. Li CI, Anderson BO, Daling JR, Moe RE. Trends in incidence rates of invasive lobular and ductal breast carcinoma.JAMA2003;289:1421-4. (Pubitemid 37430310)
3. Li CI, Daling JR, Malone KE. Incidence of invasive breast cancer by hormone receptor status from 1992 to 1998. J Clin Oncol 2003;21: 28-34.
4. Li CI, Malone KE, Daling JR. Differences in breast cancer hormone receptor status and histology by race and ethnicity among women 50 years of age and older. Cancer Epidemiol Biomarkers Prev 2002;11: 601-7. (Pubitemid 34760817)
5. Sorlie T. Molecular portraits of breast cancer: tumour subtypes as distinct disease entities. Eur J Cancer 2004;40:2667-75. (Pubitemid 39574720)
6. Anderson WF, Schairer C, Chen BE, Hance KW, Levine PH. Epidemiology of inflammatory breast cancer (IBC). Breast Dis 2005-2006;22:9-23. (Pubitemid 44308938)
7. Chang S, Parker SL, Pham T, Buzdar AU, Hursting SD. Inflammatory breast carcinoma incidence and survival: the Surveillance, Epidemiology, and End Results program of the National Cancer Institute, 1975-1992. Cancer 1998;82:2366-72. (Pubitemid 28283443)
8. Dawood S, Cristofanilli M. Inflammatory breast cancer: a complex disease. Oncology (Williston Park) 2008;22:1561.
9. Gonzalez-Angulo AM, Hennessy BT, Broglio K, Meric-Bernstam F, Cristofanilli M, Giordano SH, et al. Trends for inflammatory breast cancer: is survival improving?Oncologist 2007;12:904-12. (Pubitemid 47359132)
10. Houchens NW, Merajver SD. Molecular determinants of the inflammatory breast cancer phenotype. Oncology (Williston Park) 2008;22: 1556-61.
11. Levine PH, Veneroso C. The epidemiology of inflammatory breast cancer. Semin Oncol 2008;35:11-6. (Pubitemid 351282398)
12. Chang S, Buzdar AU, Hursting SD. Inflammatory breast cancer and body mass index. J Clin Oncol 1998;16:3731-5. (Pubitemid 29001523)
13. Le MG, Arriagada R, Bahi J, Pfeiffer F, Cammoun M, Tabbane F, et al. Are risk factors for breast cancer similar in women with inflammatory breast cancer and in those with non-inflammatory breast cancer? Breast 2006;15:355-62. (Pubitemid 43832575)
14. LoAC, Georgopoulos A, Kleer CG, Banerjee M, Omar S,Khaled H, et al. Analysis of RhoC expression and lymphovascular emboli in inflammatory vs non-inflammatory breast cancers in Egyptian patients. Breast 2009;18:55-9.
15. Anderson WF, Chu KC, Chang S. Inflammatory breast carcinoma and noninflammatory locally advanced breast carcinoma: distinct clinicopathologic entities? J Clin Oncol 2003;21:2254-9. (Pubitemid 46621860)
16. Robert SA, Strombom I, Trentham-Dietz A, Hampton JM, McElroy JA, Newcomb PA, et al. Socioeconomic risk factors for breast cancer: distinguishing individual- and community-level effects. Epidemiology 2004;15:442-50. (Pubitemid 40416932)
17. Heck KE, Pamuk ER. Explaining the relation between education and postmenopausal breast cancer. Am J Epidemiol 1997;145: 366-72. (Pubitemid 27082036)
18. Kelsey JL, Bernstein L. Epidemiology and prevention of breast cancer. Annu Rev Public Health 1996;17:47-67. (Pubitemid 26146345)
19. Devesa SS, Diamond EL. Association of breast cancer and cervical cancer incidence with income and education among whites and blacks. J Natl Cancer Inst 1980;65:515-28. (Pubitemid 10034258)
20. Krieger N. Social class and the black/white crossover in the age-specific incidence of breast cancer: a study linking census-derived data to population-based registry records. Am J Epidemiol 1990;131: 804-14. (Pubitemid 20133922)
21. Liu L, Deapen D, Bernstein L. Socioeconomic status and cancers of the female breast and reproductive organs: a comparison across racial/ ethnic populations in Los Angeles county, California (United States). Cancer Causes Control 1998;9:369-80. (Pubitemid 28466688)
22. Prehn AW, West DW. Evaluating local differences in breast cancer incidence rates: a census-based methodology (United States). Cancer Causes Control 1998;9:511-7. (Pubitemid 29026913)
23. Yost K, Perkins C, Cohen R, Morris C, Wright W. Socioeconomic status and breast cancer incidence in California for different race/ethnic groups. Cancer Causes Control 2001;12:703-11. (Pubitemid 32803497)
24. Dey S, Soliman AS, Hablas A, Seifeldin IA, Ismail K, Ramadan M, et al. Urban-rural differences in breast cancer incidence by hormone receptor status across 6 years in Egypt. Breast Cancer Res Treat 2010;120: 149-60.
25. Doll R. Urban and rural factors in the aetiology of cancer. Int J Cancer 1991;47:803-10.
26. Hall SA, Kaufman JS, Millikan RC, Ricketts TC, Herman D, Savitz DA. Urbanization and breast cancer incidence in North Carolina, 1995-1999. Ann Epidemiol 2005;15:796-803. (Pubitemid 41550248)
27. Hausauer AK, Keegan TH, Chang ET, Glaser SL, Howe H, Clarke CA. Recent trends in breast cancer incidence in US white women by county-level urban/rural and poverty status. BMC Med 2009; 7:31.
28. Nasca PC, Mahoney MC, Wolfgang PE. Population density and cancer incidence differentials in New York state, 1978-82. Cancer Causes Control 1992;3:7-15.
29. Monroe AC, Ricketts TC, Savitz LA. Cancer in rural versus urban populations: a review. J Rural Health 1992;8:212-20.
30. Surveillance, Epidemiology, and End results (SEER) program (www. seer.cancer.gov) SEER*Stat database: Incidence - SEER 17 regs research data + Hurricane Katrina impacted Louisiana cases, Nov 2009 sub (1973-2007 varying) - linked to county attributes - total U.S., 1969-2007 counties. Bethesda, MD: Surveillance Research Program, Cancer Statistics Branch, National Cancer Institute, DCCPS, released April 2010, based on the November 2009 submission.
31. Surveillance, Epidemiology, and End Results Program. SEER data, 1973-2007. Bethesda, MD: National Cancer Institute [cited 2009 Nov]. Available from: http://seer.cancer.gov/data/index.html.
32. Surveillance, Epidemiology, and End Results Program. Overview of the SEER program. Bethesda, MD: National Cancer Institute Available from: http://seer.cancer.gov/about/overview.html.
33. Hance KW, Anderson WF, Devesa SS, Young HA, Levine PH. Trends in inflammatory breast carcinoma incidence and survival: the Surveillance, Epidemiology, and End results program at the National Cancer Institute. J Natl Cancer Inst 2005;97:966-75. (Pubitemid 41430562)
34. Schairer C, Brown LM, Mai PL. Inflammatory breast cancer: high risk of contralateral breast cancer compared to comparably staged noninflammatory breast cancer. BreastCancerResTreat 2011;129:117-24.
35. Dawood S, Ueno NT, Valero V, Woodward WA, Buchholz TA, Hortobagyi GN, et al. Differences in survival among women with stage III inflammatory and noninflammatory locally advanced breast cancer appear early: a large population-based study. Cancer 2011;117:1819-26.
36. Surveillance Epidemiology and End Results Program. SEER research record description: cases diagnosed in 1973-2007, November 2009 data submission. Bethesda, MD: National Cancer Institute. Available from: http://seer.cancer.gov/ data/documentation.html.
37. Surveillance Epidemiology and End Results Program. SEER Program Quality Control Section. ICD-O-3 SEER site/histology validation list. Bethesda, MD: National Cancer Institute [updated 2009 Dec 4]. Available from: http://seer.cancer.gov/icd-o-3/sitetype.icdo3.d20091204. pdf.
38. American Joint Committee on Cancer. Breast. In: Edge SB, Byrd DR, Compton CR, Fritz AG, Greene FL, Trotti III A, editors. AJCC cancer staging manual. 7th ed.New York: Springer Science + Business Media LLC; 2010. p. 354.
39. Johnson CH, editor. SEER program coding and staging manual 2004. 1st Rev. Bethesda, MD: National Cancer Institute, NIH; 2004. Publication number 04-5581.
40. Fritz A, Ries L, editors. Breast: C50.0-C50.6, C50.8-C50.9. In: SEER extent of disease-1988: codes and coding instructions. 3rd ed. Bethesda, MD: Cancer Statistics Branch, Surveillance Program, Division of Cancer Control and Population Sciences, National Cancer Institute, U.S. Department of Health and Human Services, Public Health Service, NIH; 1998. Available from: http://www.seer.cancer. gov/manuals/EOD10Dig.pub.pdf.
41. Surveillance, Epidemiology, and End Results Program. County attributes. Bethesda, MD: National Cancer Institute. Available from: http:// seer.cancer.gov/seerstat/variables/countyattribs/index.html.
42. Crowell RE, Goetz T, Wiggins C, Magana E. Regional disparities in treatment and survival of early stage non-small cell lung cancer. Ethn Dis 2007;17:358-64. (Pubitemid 47067931)
43. Yu XQ. Socioeconomic disparities in breast cancer survival: relation to stage at diagnosis, treatment and race. BMC Cancer 2009;9:364.
44. Reid-Arndt SA, Cox CR. Does rurality affect quality of life following treatment for breast cancer? J Rural Health 2010;26:402-5.
45. Klein J, Ji M, Rea NK, Stoodt G. Differences in male breast cancer stage, tumor size at diagnosis, and survival rate between metropolitan and nonmetropolitan regions. Am J Mens Health 2011;5:430-7.
46. USDA. Measuring rurality: rural-urban continuum codes. Washington, DC: United States Department of Agriculture, Economic Research Service. Available from: http://www.ers.usda.gov/briefing/rurality/ ruralurbcon/.
47. Surveillance, Epidemiology, and End Results Program. Rural-urban continuum codes. Bethesda, MD: National Cancer Institute. Available from: http://seer.cancer.gov/seerstat/variables/countyattribs/ruralurban. html.
48. Singh GK, Miller BA, Hankey BF, Edwards BK. Area socioeconomic variations in U.S. cancer incidence, mortality, stage, treatment, and survival, 1975-1999. In: NCI cancer surveillance monograph series, number 4. Bethesda, MD: National Cancer Institute; 2003. NIH Publication No. 03-5417.
49. Ward E, Jemal A, Cokkinides V, Singh GK, Cardinez C, Ghafoor A, et al. Cancer disparities by race/ethnicity and socioeconomic status. CA Cancer J Clin 2004;54:78-93. (Pubitemid 38519418)
50. Krieger N, Chen JT, Waterman PD, Soobader MJ, Subramanian SV, Carson R. Geocoding and monitoring of US socioeconomic inequalities in mortality and cancer incidence: does the choice of area-based measure and geographic level matter?: the public health disparities geocoding project. Am J Epidemiol 2002;156:471-82. (Pubitemid 34976986)
51. Bishaw A Areas with concentrated poverty: 1999. Census 2000 Special Reports CENSR-16, July 2005. U.S. Department of Commerce, Economics and Statistics Administration, U.S. Census Bureau; 2005. Available from: http://www.census.gov/prod/2005pubs/censr-16.pdf.
52. Krieger N. Overcoming the absence of socioeconomic data in medical records: validation and application of a census-based methodology. Am J Public Health 1992;82:703-10.
53. Carter CL, Jones DY, Schatzkin A, Brinton LA. A prospective study of reproductive, familial and socioeconomic risk factors for breast cancer using NHANES I data. Public Health Rep 1989;104:45-50. (Pubitemid 19086998)
54. Surveillance, Epidemiology, and End Results (SEER) Program (www. seer.cancer.gov) SEER*Stat database: County attributes - total U.S., 1969-2007 counties. Bethesda, MD: Surveillance Research Program, Cancer Statistics Branch, National Cancer Institute, DCCPS. Available from: www.seer.cancer.gov/seerstat/variables/countyattribs.
55. Surveillance, Epidemiology, and End Results (SEER) program (www.seer.cancer.gov) SEER*Stat database: Incidence - SEER 17 regs research data + Hurricane Katrina impacted Louisiana cases, Nov 2009 sub (2000-2007) 〈Single ages to 85+, Katrina/ Rita population adjustment〉 - linked to county attributes - total U.S., 1969-2007 counties. Bethesda, MD: Surveillance Research Program, Cancer Statistics Branch, National Cancer Institute, DCCPS, released April 2010, based on the November 2009 submission.
56. Surveillance, Epidemiology, and End Results Program. SEER*Stat tutorials: calculating age-adjusted rates.Bethesda, MD: National Cancer Institute. Available from: http://www.seer.cancer.gov/seerstat/ tutorials/aarates/definition.html.
57. Surveillance, Epidemiology, and End Results Program. Standard populations (millions) for age-adjustment.Bethesda, MD: National Cancer Institute. Available from: http://seer.cancer.gov/stdpopulations/ index.html.
58. Surveillance, Epidemiology, and End Results Program. SEER*stat help: P-values for frequency or rate sessions. Bethesda, MD: National Cancer Institute. Available from: http://seer.cancer.gov/seerstat/ WebHelp/P-Values- for-Frequency-or-Rate-Sessions.htm.
59. Tiwari RC, Clegg LX, Zou Z. Efficient interval estimation for age-adjusted cancer rates. Stat Methods Med Res 2006;15:547-69. (Pubitemid 46099247)
60. SAS Support (support.sas.com). The Glimmix Procedure, June 2006. Available from: http://support.sas.com/rnd/app/papers/glimmix.pdf.
61. Blakely TA, Woodward AJ. Ecological effects in multi-level studies. J Epidemiol Community Health 2000;54:367-74. (Pubitemid 30204272)
62. Li J, Alterman T, Deddens JA. Analysis of large hierarchical data with multilevel logistic modeling using PROC GLIMMIX [abstract]. In: Proceedings of the SAS Users Group International 31; 2006 Mar 26-29; San Francisco, CA. Cary (NC): SAS; 2006. Paper 151-31. Available from: http://www2.sas.com/proceedings/ sugi31/151-31. pdf.
63. Dai J, Li D, Rocke D. Hierarchical logistic regression modeling with SAS GLIMMIX [abstract]. In: Conference Proceedings of Western Users of SAS Software; 2006 Sep 27-29; Irvine, CA. Cary (NC): SAS; 2006. Available from: http://www.lexjansen.com/wuss/2006/Analytics/ ANL-Dai.pdf.
64. Wingo PA, Jamison PM, Young JL, Gargiullo P. Population-based statistics for women diagnosed with inflammatory breast cancer (United States). Cancer Causes Control 2004;15:321-8. (Pubitemid 38988041)
65. Anderson WF, Pfeiffer RM, Dores GM, Sherman ME. Comparison of age distribution patterns for different histopathologic types of breast carcinoma. Cancer Epidemiol Biomarkers Prev 2006;15: 1899-905. (Pubitemid 44664266)
66. Fong M, Henson DE, Devesa SS, Anderson WF. Inter- and intra-ethnic differences for female breast carcinoma incidence in the continental United States and in the state of Hawaii. Breast Cancer Res Treat 2006;97:57-65.
67. U.S. Census Bureau, Current Population Survey, 2010 Annual Social and Economic Supplement. Table Pov29: years of school completed by poverty status, sex, age, nativity and citizenship: 2009. Available from: http://www.census.gov/ hhes/www/cpstables/032010/pov/ new29-100-01.htm.
68. Cromartie J, Bucholtz S Defining the "rural" in rural America. Vol 6. Amber Waves, US Department of Agriculture, Economic Research Service. [cited 2008 Jun]. Available from: http://www.ers.usda.gov/ AmberWaves/June08/ Features/RuralAmerica.htm.
69. Jones CA, Parker TS, Ahearn M, Mishra AK, Variyam JN. Health status and health care access of farm and rural populations, EIB-57, U.S. Department of Agriculture, Economic Research Service [cited 2009 Aug].
70. Swanson CA, Brinton LA, Taylor PR, Licitra LM, Ziegler RG, Schairer C. Body size and breast cancer risk assessed in women participating in the breast cancer detection demonstration project. Am J Epidemiol 1989;130:1133-41. (Pubitemid 20016350)
71. Boussen H, Bouzaiene H, Ben Hassouna J, Dhiab T, Khomsi F, Benna F, et al. Inflammatory breast cancer in Tunisia: epidemiological and clinical trends. Cancer 2010;116 Suppl:2730-5.
72. Surveillance, Epidemiology, and End Results Program. September 2005 Brochure. Bethesda, MD: National Cancer Institute. Available from: http://seer.cancer.gov/about/SEER-brochure.pdf.
73. Surveillance, Epidemiology, and End Results program. Race recode changes. Bethesda, MD: National Cancer Institute. Available from: http://www.seer. cancer.gov/seerstat/variables/seer/race-ethnicity/.
74. Dawood S, Merajver SD, Viens P, Vermeulen PB, Swain SM, Buchholz TA, et al. International expert panel on inflammatory breast cancer: consensus statement for standardized diagnosis and treatment. Ann Oncol 2011;22:515-23.
75. Levine PH, Steinhorn SC, Ries LG, Aron JL. Inflammatory breast cancer: the experience of the Surveillance, Epidemiology, and End results (SEER) program. J Natl Cancer Inst 1985;74:291-7. (Pubitemid 15112115)
76. Anderson WF, Chen BE, Brinton LA, Devesa SS. Qualitative age interactions (or effect modification) suggest different cancer pathways for early-onset and late-onset breast cancers. Cancer Causes Control 2007;18:1187-98. (Pubitemid 47498167)
77. Taylor SH, Walters R. Potential impact of tumor registry rule changes for recording inflammatory breast cancer. Cancer 2010;116 Suppl: 2745-7.
78. Yu JB, Gross CP, Wilson LD, Smith BD. NCI SEER public-use data: applications and limitations in oncology research. Oncology (Williston Park) 2009;23:288-95.
79. Morgenstern H. Ecologic studies. In: Rothman KJ, Greenland S, Lash TL, editors. Modern epidemiology. 3rd ed. Philadelphia, PA: Lippincott Williams & Wilkins; 2008. p. 511-29.
80. Kokal WA, Hill LR, Porudominsky D, Beatty JD, Kemeny MM, Riihimaki DU, et al. Inflammatory breast carcinoma: a distinct entity? J Surg Oncol 1985;30:152-5. (Pubitemid 16236827)
81. Brouwers B, Paridaens R, Lobelle JP, Hendrickx W, Smeets A, Neven P, et al. Clinicopathological features of inflammatory versus noninflammatory locally advanced nonmetastatic breast cancer. Tumour Biol 2008;29:211-6.
82. Dawood S, Broglio K, Gong Y, Yang WT, Cristofanilli M, Kau SW, et al. Prognostic significance of HER-2 status in women with inflammatory breast cancer. Cancer 2008;112:1905-11. (Pubitemid 351574065)
83. Kleer CG, Zhang Y, Pan Q, Gallagher G, Wu M, Wu ZF, et al. WISP3 and RhoC guanosine triphosphatase cooperate in the development of inflammatory breast cancer. Breast Cancer Res 2004;6: R110-5.
84. Turpin E, Bieche I, Bertheau P, Plassa LF, Lerebours F, de Roquan-court A, et al. Increased incidence of ERBB2 overexpression and TP53 mutation in inflammatory breast cancer. Oncogene 2002;21: 7593-7. (Pubitemid 35305587)
85. Bonnier P, Charpin C, Lejeune C, Romain S, Tubiana N, Beedassy B, et al. Inflammatory carcinomas of the breast: a clinical, pathological, or a clinical and pathological definition? Int J Cancer 1995;62:382-5.
86. Gueth U, Wight E, Schoetzau A, Langer I, Dieterich H, Rochlitz C, et al. Non-inflammatory skin involvement in breast cancer, histologically proven but without the clinical and histological T4 category features. J Surg Oncol 2007;95:291-7. (Pubitemid 46355504)
87. Anderson WF, Chen BE, Jatoi I, Rosenberg PS. Effects of estrogen receptor expression and histopathology on annual hazard rates of death from breast cancer. Breast Cancer Res Treat 2006;100:121-6.