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The Women’s Circle of Health Follow-Up Study: a population-based longitudinal study of Black breast cancer survivors in New Jersey

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Abstract

Purpose

The Women’s Circle of Health Follow-Up Study is an ongoing longitudinal study of African American/Black breast cancer survivors in New Jersey, specifically designed to evaluate the impact of obesity and related comorbidities on breast cancer survival and health-related quality-of-life in this understudied population. Here, we describe our recruitment and data collection methods and compare characteristics of the overall cohort and the subcohort with follow-up data.

Methods

Newly diagnosed breast cancer cases have been recruited into the study since 2006. Pre-diagnosis data on relevant factors and a saliva sample are collected during an in-person interview within 12 months from diagnosis. In 2013, we began active follow up by recontacting participants annually, including two home visits at approximately 2 and 3 years post-diagnosis, during which blood samples are collected. Mortality outcomes (all-cause and breast cancer-specific mortality) are ascertained through linkage with New Jersey State Cancer Registry files. We expect to assemble a cohort of over 2000 Black breast cancer survivors with at least 800 of them having detailed post-diagnosis data.

Results

Distribution of sociodemographic characteristics, body mass index, comorbidities, clinicopathologic characteristics, and treatment modalities were very similar between those in the full cohort and the subset with follow-up data and blood samples. Obesity (> 50%), hypertension (> 58%), and diabetes (22%) were common in this population.

Conclusions and implications for cancer survivors

This ongoing longitudinal study represents a unique resource to better understand breast cancer outcomes, patient-reported symptoms, and health-related quality of life among Black breast cancer survivors.

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References

  1. Jemal A, Ward EM, Johnson CJ, Cronin KA, Ma J, Ryerson B, et al., 1975-2014, Annual Report to the Nation on the Status of Cancer, Featuring survival. J Natl Cancer Inst 2017;109(9).

  2. DeSantis CE, Miller KD, Goding Sauer A, Jemal A, Siegel RL. Cancer statistics for African Americans, 2019. CA Cancer J Clin. 2019;69(3):211–33.

    Article  PubMed  Google Scholar 

  3. Maskarinec G, Sen C, Koga K, Conroy SM. Ethnic differences in breast cancer survival: status and determinants. Women's Health (Lond Engl). 2011;7(6):677–87.

    Article  Google Scholar 

  4. Lee K, Kruper L, Dieli-Conwright CM, Mortimer JE. The impact of obesity on breast cancer diagnosis and treatment. Curr Oncol Rep. 2019;21(5):41.

    Article  PubMed  PubMed Central  Google Scholar 

  5. Bandera EV, Maskarinec G, Romieu I, John EM. Racial and ethnic disparities in the impact of obesity on breast cancer risk and survival: a global perspective. Adv Nutr. 2015;6(6):803–19.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  6. Ogden CL, Carroll MD, Flegal KM. Prevalence of obesity in the United States. JAMA. 2014;312(2):189–90.

    Article  CAS  PubMed  Google Scholar 

  7. Ford ES, Maynard LM, Li C. Trends in mean waist circumference and abdominal obesity among US adults, 1999-2012. JAMA. 2014;312(11):1151–3.

    Article  PubMed  PubMed Central  Google Scholar 

  8. Beydoun MA, Wang Y. Gender-ethnic disparity in BMI and waist circumference distribution shifts in US adults. Obesity. 2009;17(1):169–76.

    Article  PubMed  Google Scholar 

  9. Parekh N, Chandran U, Bandera EV. Obesity in cancer survival. Annu Rev Nutr. 2012;32:311–42.

    Article  CAS  PubMed  Google Scholar 

  10. Chan DS, Vieira AR, Aune D, Bandera EV, Greenwood DC, McTiernan A, et al. Body mass index and survival in women with breast cancer-systematic literature review and meta-analysis of 82 follow-up studies. Ann Oncol. 2014;25(10):1901–14.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  11. Dignam JJ, Wieand K, Johnson KA, Raich P, Anderson SJ, Somkin C, et al. Effects of obesity and race on prognosis in lymph node-negative, estrogen receptor-negative breast cancer. Breast Cancer Res Treat. 2006;97(3):245–54.

    Article  PubMed  Google Scholar 

  12. Paskett ED, Dean JA, Oliveri JM, Harrop JP. Cancer-related lymphedema risk factors, diagnosis, treatment, and impact: a review. J Clin Oncol. 2012;30(30):3726–33.

    Article  PubMed  Google Scholar 

  13. Weaver KE, Foraker RE, Alfano CM, Rowland JH, Arora NK, Bellizzi KM, et al. Cardiovascular risk factors among long-term survivors of breast, prostate, colorectal, and gynecologic cancers: a gap in survivorship care? J Cancer Surviv. 2013;7(2):253–61.

    Article  PubMed  PubMed Central  Google Scholar 

  14. Tammemagi CM, Nerenz D, Neslund-Dudas C, Feldkamp C, Nathanson D. Comorbidity and survival disparities among black and white patients with breast cancer. Jama. 2005;294(14):1765–72.

    Article  CAS  PubMed  Google Scholar 

  15. Braithwaite D, Tammemagi CM, Moore DH, Ozanne EM, Hiatt RA, Belkora J, et al. Hypertension is an independent predictor of survival disparity between African-American and white breast cancer patients. Int J Cancer. 2009;124(5):1213–9.

    Article  CAS  PubMed  Google Scholar 

  16. Polednak AP. Racial differences in mortality from obesity-related chronic diseases in US women diagnosed with breast cancer. Ethn Dis. 2004;14(4):463–8.

    PubMed  Google Scholar 

  17. Hong CC, Ambrosone CB, Goodwin PJ. Comorbidities and their management: potential impact on breast cancer outcomes. Adv Exp Med Biol. 2015;862:155–75.

    Article  PubMed  Google Scholar 

  18. Van Wyhe RD, Rahal OM, Woodward WA, 2017. Effect of statins on breast cancer recurrence and mortality: a review. Breast Cancer (Dove Med Press), 9:559–65.

  19. Peeters PJ, Bazelier MT, Vestergaard P, Leufkens HG, Schmidt MK, de Vries F, et al. Use of metformin and survival of diabetic women with breast cancer. Curr Drug Saf. 2013;8(5):357–63.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  20. Childers WK, Hollenbeak CS, Cheriyath P. Beta-blockers reduce breast cancer recurrence and breast cancer death: a meta-analysis. Clin Breast Cancer. 2015;15(6):426–31.

    Article  CAS  PubMed  Google Scholar 

  21. Ambrosone CB, Ciupak GL, Bandera EV, Jandorf L, Bovbjerg DH, Zirpoli G, et al. Conducting molecular epidemiological research in the age of HIPAA: a multi-institutional case-control study of breast cancer in African-American and European-American women. J Oncol. 2009;2009:871250.

    Article  PubMed  PubMed Central  Google Scholar 

  22. Yao S, Zirpoli G, Bovbjerg DH, Jandorf L, Hong CC, Zhao H, et al. Variants in the vitamin D pathway, serum levels of vitamin D, and estrogen receptor negative breast cancer among African-American women: a case-control study. Breast Cancer Res. 2012;14(2):R58.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  23. Bandera EV, Chandran U, Zirpoli G, Ciupak G, Bovbjerg DH, Jandorf L, et al. Body size in early life and breast cancer risk in African American and European American women. Cancer Causes Control. 2013;24(12):2231–43.

    Article  PubMed  PubMed Central  Google Scholar 

  24. Bandera EV, Chandran U, Zirpoli G, Gong Z, McCann SE, Hong CC, et al. Body fatness and breast cancer risk in women of African ancestry. BMC Cancer. 2013;13:475.

    Article  PubMed  PubMed Central  Google Scholar 

  25. Chandran U, Zirpoli G, Ciupak G, McCann SE, Gong Z, Pawlish K, et al. Racial disparities in red meat and poultry intake and breast cancer risk. Cancer Causes Control. 2013;24(12):2217–29.

    Article  PubMed  PubMed Central  Google Scholar 

  26. Chandran U, Zirpoli G, Ciupak G, McCann SE, Gong Z, Pawlish K, et al. Does alcohol increase breast cancer risk in African-American women? Findings from a case-control study. Br J Cancer. 2013;109(7):1945–53.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  27. Gong Z, Ambrosone CB, McCann SE, Zirpoli G, Chandran U, Hong CC, et al. Associations of dietary folate, vitamins B6 and B12 and methionine intake with risk of breast cancer among African American and European American women. Int J Cancer. 2014;134(6):1422–35.

    Article  CAS  PubMed  Google Scholar 

  28. Gong Z, Quan L, Yao S, Zirpoli G, Bandera EV, Roberts M, et al. Innate immunity pathways and breast cancer risk in African American and European-American women in the Women’s Circle of Health Study (WCHS). PLoS One. 2013;8(8):e72619.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  29. Quan L, Gong Z, Yao S, Bandera EV, Zirpoli G, Hwang H, et al. Cytokine and cytokine receptor genes of the adaptive immune response are differentially associated with breast cancer risk in American women of African and European ancestry. Int J Cancer. 2014;134(6):1408–21.

    Article  CAS  PubMed  Google Scholar 

  30. Yao S, Graham K, Shen J, Campbell LE, Singh P, Zirpoli G, et al. Genetic variants in microRNAs and breast cancer risk in African American and European American women. Breast Cancer Res Treat. 2013;141(3):447–59.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  31. Ambrosone CB, Zirpoli G, Ruszczyk M, Shankar J, Hong CC, McIlwain D, et al. Parity and breastfeeding among African-American women: differential effects on breast cancer risk by estrogen receptor status in the Women’s Circle of Health Study. Cancer Causes Control. 2014;25(2):259–65.

    Article  PubMed  Google Scholar 

  32. Ambrosone CB, Zirpoli GR, Bovbjerg DH, Shankar J, Hong CC, McCann SE, et al. Associations between estrogen receptor-negative breast cancer and timing of reproductive events differ between African American and European American women. Cancer Epidemiol Biomark Prev. 2014;23(6):1115–20.

    Article  CAS  Google Scholar 

  33. Chandran U, McCann SE, Zirpoli G, Gong Z, Lin Y, Hong CC, et al. Intake of energy-dense foods, fast foods, sugary drinks, and breast cancer risk in African American and European American women. Nutr Cancer. 2014;66(7):1187–99.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  34. Gong Z, Yao S, Zirpoli G, David Cheng TY, Roberts M, Khoury T, et al. Genetic variants in one-carbon metabolism genes and breast cancer risk in European American and African American women. Int J Cancer. 2015;137(3):666–77.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  35. Llanos AA, Chandwani S, Bandera EV, Hirshfield KM, Lin Y, Ambrosone CB, et al. Associations between sociodemographic and clinicopathological factors and breast cancer subtypes in a population-based study. Cancer Causes Control. 2015;26(12):1737–50.

    Article  PubMed  PubMed Central  Google Scholar 

  36. Llanos AAM, Rabkin A, Bandera EV, Zirpoli G, Gonzalez BD, Xing CY, et al. Hair product use and breast cancer risk among African American and white women. Carcinogenesis. 2017;38(9):883–92.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  37. George PA, 2012. Racial Disparities in Early Stage Breast Cancer Treatment (Doctoral Dissertation; Dissertation Director: Kitaw Demissie, MD, PhD). Rutgers University, New Brunswick, NJ. Record ID: oai:example.org:Rutgers-lib: 38770

  38. Chandwani S., 2012, Factors Contributing to Disparities in Early Breast Cancer Treatment (Doctoral Dissertation; Dissertation Director: Kitaw Demissie, MD, PhD). Rutgers University, New Brunswick, NJ. Record ID:oai:example.org:Rutgers-lib:38723

  39. Chandwani S, George PA, Azu M, Bandera EV, Ambrosone CB, Rhoads GG, et al. Role of preoperative magnetic resonance imaging in the surgical management of early-stage breast cancer. Ann Surg Oncol. 2014;21(11):3473–80.

    Article  PubMed  PubMed Central  Google Scholar 

  40. George P, Chandwani S, Gabel M, Ambrosone CB, Rhoads G, Bandera EV, et al. Diagnosis and surgical delays in african american and white women with early-stage breast cancer. J Women's Health (Larchmt). 2015;24(3):209–17.

    Article  Google Scholar 

  41. Goyal S, Chandwani S, Haffty BG, Demissie K. Effect of travel distance and time to radiotherapy on likelihood of receiving mastectomy. Ann Surg Oncol. 2015;22(4):1095–101.

    Article  PubMed  Google Scholar 

  42. Krishnan S, Rosenberg L, Palmer JR. Physical activity and television watching in relation to risk of type 2 diabetes: the black women’s health study. Am J Epidemiol. 2009;169(4):428–34.

    Article  PubMed  Google Scholar 

  43. Carter-Nolan PL, Adams-Campbell LL, Makambi K, Lewis S, Palmer JR, Rosenberg L. Validation of physical activity instruments: black women’s health study. Ethn Dis. 2006;16(4):943–7.

    PubMed  Google Scholar 

  44. Genkinger JM, Makambi KH, Palmer JR, Rosenberg L, Adams-Campbell LL. Consumption of dairy and meat in relation to breast cancer risk in the black women’s health study. Cancer Causes Control. 2013;24(4):675–84.

    Article  PubMed  PubMed Central  Google Scholar 

  45. Block G, Am H, Cm D, Carroll MD, Gannon J, Gardner L. A data-based approach to diet questionnaire design and testing. Am J Epidemiol. 1986;124:453–69.

    Article  CAS  PubMed  Google Scholar 

  46. Krieger N, Smith K, Naishadham D, Hartman C, Barbeau EM. Experiences of discrimination: validity and reliability of a self-report measure for population health research on racism and health. Soc Sci Med. 2005;61(7):1576–96.

    Article  PubMed  Google Scholar 

  47. Buysse DJ, Reynolds CF 3rd, Monk TH, Berman SR, Kupfer DJ. The Pittsburgh sleep quality index: a new instrument for psychiatric practice and research. Psychiatry Res. 1989;28(2):193–213.

    Article  CAS  PubMed  Google Scholar 

  48. Hays RD, Sherbourne CD, Mazel RM. The RAND 36-item health survey 1.0. Health Econ 1993;2(3):217–227.

    Article  CAS  PubMed  Google Scholar 

  49. Qin B, Llanos AAM, Lin Y, Szamreta EA, Plascak JJ, Oh H, et al. Validity of self-reported weight, height, and body mass index among African American breast cancer survivors. J Cancer Surviv. 2018;12(4):460–8.

    Article  PubMed  PubMed Central  Google Scholar 

  50. Pickering TG, Hall JE, Appel LJ, Falkner BE, Graves J, Hill MN, et al. Recommendations for blood pressure measurement in humans and experimental animals: part 1: blood pressure measurement in humans: a statement for professionals from the Subcommittee of Professional and Public Education of the American Heart Association Council on High Blood Pressure Research. Circulation. 2005;111(5):697–716.

    Article  PubMed  Google Scholar 

  51. Pickering TG, Hall JE, Appel LJ, Falkner BE, Graves JW, Hill MN, et al. Recommendations for blood pressure measurement in humans: an AHA scientific statement from the Council on High Blood Pressure Research Professional and Public Education Subcommittee. J Clin Hypertens. 2005;7(2):102–9.

    Article  Google Scholar 

  52. Brady MJ, Cella DF, Mo F, Bonomi AE, Tulsky DS, Lloyd SR, et al. Reliability and validity of the functional assessment of cancer therapy-breast quality-of-life instrument. J Clin Oncol. 1997;15(3):974–86.

    Article  CAS  PubMed  Google Scholar 

  53. Hudak PL, Amadio PC, Bombardier C. Development of an upper extremity outcome measure: the DASH (disabilities of the arm, shoulder and hand) [corrected] The Upper Extremity Collaborative Group (UECG). Am J Ind Med 1996;29(6):602–608.

  54. Marx RG, Bombardier C, Hogg-Johnson S, Wright JG. Clinimetric and psychometric strategies for development of a health measurement scale. J Clin Epidemiol. 1999;52(2):105–11.

    Article  CAS  PubMed  Google Scholar 

  55. Bot SD, Terwee CB, van der Windt DA, Bouter LM, Dekker J, de Vet HC. Clinimetric evaluation of shoulder disability questionnaires: a systematic review of the literature. Ann Rheum Dis. 2004;63(4):335–41.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  56. Collado-Hidalgo A, Bower JE, Ganz PA, Cole SW, Irwin MR. Inflammatory biomarkers for persistent fatigue in breast cancer survivors. Clin Cancer Res. 2006;12(9):2759–66.

    Article  CAS  PubMed  Google Scholar 

  57. Schubert C, Hong S, Natarajan L, Mills PJ, Dimsdale JE. The association between fatigue and inflammatory marker levels in cancer patients: a quantitative review. Brain Behav Immun. 2007;21:413–27.

    Article  CAS  PubMed  Google Scholar 

  58. Sommer C, Kress M. Recent findings on how proinflammatory cytokines cause pain: peripheral mechanisms in inflammatory and neuropathic hyperalgesia. Neurosci Lett. 2004;361(1–3):184–7.

    Article  CAS  PubMed  Google Scholar 

  59. Miaskowski C, Cooper BA, Dhruva A, Dunn LB, Langford DJ, Cataldo JK, et al. Evidence of associations between cytokine genes and subjective reports of sleep disturbance in oncology patients and their family caregivers. PLoS One. 2012;7(7):e40560.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  60. Illi J, Miaskowski C, Cooper B, Levine JD, Dunn L, West C, et al. Association between pro- and anti-inflammatory cytokine genes and a symptom cluster of pain, fatigue, sleep disturbance, and depression. Cytokine. 2012;58(3):437–47.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  61. Irwin M. Effects of sleep and sleep loss on immunity and cytokines. Brain Behav Immun. 2002;16(5):503–12.

    Article  CAS  PubMed  Google Scholar 

  62. Andersen BL, Farrar WB, Golden-Kreutz DM, Glaser R, Emery CF, Crespin TR, et al. Psychological, behavioral, and immune changes after a psychological intervention: a clinical trial. J Clin Oncol. 2004;22(17):3570–80.

    Article  PubMed  Google Scholar 

  63. Carlson LE, Speca M, Patel KD, Goodey E. Mindfulness-based stress reduction in relation to quality of life, mood, symptoms of stress, and immune parameters in breast and prostate cancer outpatients. Psychosom Med. 2003;65(4):571–81.

    Article  PubMed  Google Scholar 

  64. Cella D, Yount S, Sorensen M, Chartash E, Sengupta N, Grober J. Validation of the functional assessment of chronic illness therapy fatigue scale relative to other instrumentation in patients with rheumatoid arthritis. J Rheumatol. 2005;32(5):811–9.

    PubMed  Google Scholar 

  65. Sorenson M, Janusek L, Mathews H. Psychological stress and cytokine production in multiple sclerosis: correlation with disease symptomatology. Biol Research Nurs. 2013;15(2):226–33.

    Article  CAS  Google Scholar 

  66. Cohen S, Kamarck T, Mermelstein R. A global measure of perceived stress. J Health Soc Behav. 1983;24(4):385–96.

    Article  CAS  PubMed  Google Scholar 

  67. Matthews AK, Tejeda S, Johnson TP, Berbaum ML, Manfredi C. Correlates of quality of life among African American and white cancer survivors. Cancer Nurs. 2012;35(5):355–64.

    Article  PubMed  PubMed Central  Google Scholar 

  68. Gregg G. I'm a Jesus girl: coping stories of Black American women diagnosed with breast cancer. J Relig Health. 2011;50(4):1040–53.

    Article  PubMed  Google Scholar 

  69. Bellizzi KM, Smith AW, Reeve BB, Alfano CM, Bernstein L, Meeske K, et al. Posttraumatic growth and health-related quality of life in a racially diverse cohort of breast cancer survivors. J Health Psychol. 2010;15(4):615–26.

    Article  PubMed  Google Scholar 

  70. Peterman AH, Fitchett G, Brady MJ, Hernandez L, Cella D. Measuring spiritual well-being in people with cancer: the functional assessment of chronic illness therapy--Spiritual Well-being Scale (FACIT-Sp). Ann Behav Med. 2002;24(1):49–58.

    Article  PubMed  Google Scholar 

  71. Gullate M. The influence of spirituality and religiosity on breast cancer screening delay in African American women: application of the Theory of Reasoned Action and Planned Behavior (TRA/TPB). ABNF J. 2006;17(2):89–94.

    PubMed  Google Scholar 

  72. Gullatte MM, Phillips JM, Gibson LM. Factors associated with delays in screening of self-detected breast changes in African-American women. JNBNA. 2006;17(1):45–50.

    PubMed  Google Scholar 

  73. Smith BW, Dalen J, Wiggins K, Tooley E, Christopher P, Bernard J. The brief resilience scale: assessing the ability to bounce back. Int J behav Med. 2008;15(3):194–200.

    Article  PubMed  Google Scholar 

  74. Ambrosone CB, Nesline MK, Davis W. Establishing a cancer center data bank and biorepository for multidisciplinary research. Cancer Epidemiol, Biomarkers Prev. 2006;15(9):1575–7.

    Article  Google Scholar 

  75. Carroll J, Protani M, Walpole E, Martin JH. Effect of obesity on toxicity in women treated with adjuvant chemotherapy for early-stage breast cancer: a systematic review. Breast Cancer Res Treat. 2012;136(2):323–30.

    Article  CAS  PubMed  Google Scholar 

  76. Kravitz RL, Greenfield S, Rogers W, Manning WG Jr, Zubkoff M, Nelson EC, et al. Differences in the mix of patients among medical specialties and systems of care. Results from the medical outcomes study. JAMA. 1992;267(12):1617–23.

    Article  CAS  PubMed  Google Scholar 

  77. the American Diabetes Association, 2015, Standards of medical care in diabetes-2015 abridged for primary care providers. Clinical diabetes : a publication of.;33(2):97–111.

  78. James PA, Oparil S, Carter BL, Cushman WC, Dennison-Himmelfarb C, Handler J, et al. 2014 evidence-based guideline for the management of high blood pressure in adults: report from the panel members appointed to the Eighth Joint National Committee (JNC 8). Jama. 2014;311(5):507–20.

    Article  CAS  PubMed  Google Scholar 

  79. NHLBI. Third report of the expert panel on detection, evaluation, and treatment of high blood cholesterol in adults (adult treatment panel III). National Institutes of Health; 2002.

    Google Scholar 

  80. National KF. K/DOQI clinical practice guidelines for chronic kidney disease: evaluation, classification, and stratification. Am J Kidney Dis. 2002;39(2 Suppl 1):S1–266.

    Google Scholar 

  81. Kwan ML, Ambrosone CB, Lee MM, Barlow J, Krathwohl SE, Ergas IJ, et al. The pathways study: a prospective study of breast cancer survivorship within Kaiser Permanente northern California. Cancer Causes Control. 2008;19(10):1065–76.

    Article  PubMed  PubMed Central  Google Scholar 

  82. John EM, Sangaramoorthy M, Koo J, Whittemore AS, West DW. Enrollment and biospecimen collection in a multiethnic family cohort: the northern California site of the breast cancer family registry. Cancer Causes Control. 2019;30(4):395–408.

    Article  PubMed  PubMed Central  Google Scholar 

  83. Caan B, Sternfeld B, Gunderson E, Coates A, Quesenberry C, Slattery ML. Life after cancer epidemiology (LACE) study: a cohort of early stage breast cancer survivors (United States). Cancer Causes Control. 2005;16(5):545–56.

    Article  PubMed  Google Scholar 

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Acknowledgments

We would like to thank the numerous staff at the Rutgers Cancer Institute of New Jersey, Rutgers School of Public Health, the New Jersey State Cancer Registry, and Roswell Park Comprehensive Cancer Center who worked in on the different components of the study for their contribution to the study. We are particularly grateful to all the women who have contributed their time to participate in the study and have inspired us with their stories.

Funding

This study was funded by grants from the NIH (R01CA185623, R01CA100598, P01CA151135, K01CA193527, K99MD013300, K07CA222158, P30CA072720–5919; P30CA072720–5929, P30CA016056), the American Cancer Society (RSGT-07-291-01-CPHPS), and the Breast Cancer Research Foundation, and a gift from the Philip L. Hubbell family. The New Jersey State Cancer Registry, Cancer Epidemiology Services, New Jersey Department of Health, is funded by the Surveillance, Epidemiology and End Results (SEER) Program of the National Cancer Institute under contract HHSN261201300021I and control No. N01-PC-2013-00021, the National Program of Cancer Registries (NPCR), Centers for Disease Control and Prevention under grant NU5U58DP006279-02-00 as well as the State of New Jersey and the Rutgers Cancer Institute of New Jersey.

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Correspondence to Elisa V. Bandera.

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Bandera, E.V., Demissie, K., Qin, B. et al. The Women’s Circle of Health Follow-Up Study: a population-based longitudinal study of Black breast cancer survivors in New Jersey. J Cancer Surviv 14, 331–346 (2020). https://doi.org/10.1007/s11764-019-00849-8

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