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The association between physical health-related quality of life, physical functioning, and risk of contralateral breast cancer among older women

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Abstract

Background

Physical limitations prior to cancer diagnosis may lead to suboptimal health outcomes. Our objective was to evaluate the impacts of poor physical health-related quality of life (HRQOL) and physical functioning (PF) on the risk of contralateral breast cancer (CBC).

Methods

We performed a nested case–control study of women with invasive unilateral breast cancer (UBC) who did not receive prophylactic contralateral mastectomy using the Surveillance, Epidemiology and End Results Medicare Health Outcomes Survey data resource. Among 2938 women aged ≥ 65 years diagnosed with first stage I–III UBC between 1997 and 2011, we identified 100 subsequent CBC cases and 915 matched controls without CBC using incidence density sampling without replacement. Pre-diagnosis physical HRQOL and PF were determined using Medical Outcomes Trust Short Form-36 (SF-36)/Veterans Rand 12-Item Health Survey (VR-12) responses within 2 years prior to first UBC diagnosis. We estimated adjusted odds ratios (OR) and 95% confidence intervals (CI) using conditional logistic regression models.

Results

Cases and controls were similar with respect to comorbidities, stage, surgery, and radiation treatments, but differed by hormone receptor status (ER/PR-negative, 23% and 11%, respectively) of first UBC. Cases had modestly lower mean pre-diagnosis physical HRQOL (− 1.8) and PF (− 2.2) scores. In multivariable models, we observed an increased CBC risk associated with low physical HRQOL (lowest vs. highest quartile, OR = 1.8; 95% CI 0.8–4.3), but CIs included 1.0. Low PF was associated with a 2.7-fold (95% CI 1.1–6.7) increased CBC risk.

Conclusions

Findings indicate that low physical HRQOL, specifically poor PF, is associated with CBC risk. Efforts to understand and minimize declines in PF post-breast cancer are well motivated.

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References

  1. American Cancer Society Breast Cancer Facts & Figures 2019–2020. Atlanta: American Cancer Society, Inc. 2019.

  2. Curtis Re Fd, Ron E, Ries Lag, Hacker Dg, Edwards Bk, Tucker Ma, Fraumeni Jf Jr. (Eds) (2006) New Malignancies Among Cancer Survivors: Seer Cancer Registries, 1973–2000. Vol Nih Publ. No. 05-5302. National Cancer Institute Bethesda, Md.

  3. Sakai T, Ozkurt E, Desantis S, Sm W, Rosenbaum L, Zheng H, Golshan M. National trends of synchronous bilateral breast cancer incidence in the United States. Breast Cancer Res Treat. 2019;178(1):161–7. https://doi.org/10.1007/S10549-019-05363-0.

    Article  PubMed  Google Scholar 

  4. Xiong Z, Yang L, Deng G, Huang X, Li X, Xie X, Wang J, Shuang Z, Wang X. Patterns of occurrence and outcomes of contralateral breast cancer: analysis of seer data. J Clin Med. 2018. https://doi.org/10.3390/Jcm7060133.

    Article  PubMed  PubMed Central  Google Scholar 

  5. Marmor S, Portschy PR, Burke EE, Virnig BA, Tuttle TM. Prognostic factors for metachronous contralateral breast cancer: implications for management of the contralateral breast. Breast J. 2017;23(3):299–306. https://doi.org/10.1111/Tbj.12732.

    Article  CAS  PubMed  Google Scholar 

  6. Akdeniz D, Schmidt MK, Seynaeve CM, Mccool D, Giardiello D, Van Den Broek AJ, Hauptmann M, Steyerberg EW, Hooning MJ. Risk factors for metachronous contralateral breast cancer: a systematic review and meta-analysis. Breast. 2019;44:1–14. https://doi.org/10.1016/J.Breast.2018.11.005.

    Article  PubMed  Google Scholar 

  7. Kurian AW, Mcclure LA, John EM, Horn-Ross PI, Ford JM, Clarke CA. Second primary breast cancer occurrence according to hormone receptor status. J Natl Cancer Inst. 2009;101(15):1058–65. https://doi.org/10.1093/Jnci/Djp181.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  8. Bessonova L, Taylor TH, Mehta RS, Zell JA, Anton-Culver H. Risk of a second breast cancer associated with hormone-receptor and Her2/Neu status of the first breast cancer. Cancer Epidemiol Biomarkers Prev. 2011;20(2):389–96. https://doi.org/10.1158/1055-9965.Epi-10-1016.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  9. Li CI, Daling JR, Tang MT, Malone KE. Relationship between diabetes and risk of second primary contralateral breast cancer. Breast Cancer Res Treat. 2011;125(2):545–51. https://doi.org/10.1007/S10549-010-1035-4.

    Article  PubMed  Google Scholar 

  10. Knight JA, Bernstein L, Largent J, Capanu M, Begg CB, Mellemkjaer L, Lynch CF, Malone KE, Reiner AS, Liang X, Haile RW, Boice JD Jr, JL B. Alcohol intake and cigarette smoking and risk of a contralateral breast cancer: the women’s environmental cancer and radiation epidemiology study. Am J Epidemiol. 2009;169(8):962–8. https://doi.org/10.1093/Aje/Kwn422.

    Article  PubMed  PubMed Central  Google Scholar 

  11. Knight JA, Fan J, Malone KE, John EM, Lynch CF, Langballe R, Bernstein L, Shore RE, Brooks JD, Reiner AS, Woods M, Liang X, Bernstein JL. Alcohol consumption and cigarette smoking in combination: a predictor of contralateral breast cancer risk in the wecare study. Int J Cancer. 2017;141(5):916–24. https://doi.org/10.1002/Ijc.30791.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  12. Saquib N, Pierce JP, Saquib J, Flatt SW, Natarajan L, Bardwell WA, Patterson RE, Stefanick MI, Thomson CA, Rock CI, Jones LA, Gold EB, Karanja N, Parker BA. Poor physical health predicts time to additional breast cancer events and mortality in breast cancer survivors. Psychooncology. 2011;20(3):252–9. https://doi.org/10.1002/Pon.1742.

    Article  PubMed  PubMed Central  Google Scholar 

  13. Holmes MD, Chen WY, Feskanich D, Kroenke CH, Coldits GA. Physical activity and survival after breast cancer diagnosis. JAMA. 2005;293(20):2479–86. https://doi.org/10.1001/Jama.293.20.2479.

    Article  CAS  PubMed  Google Scholar 

  14. Lahart IM, Metsios GS, Nevil AM, Carmichael AR. Physical activity, risk of death and recurrence in breast cancer survivors: a systematic review and meta-analysis of epidemiological studies. Acta Oncol. 2015;54(5):635–54. https://doi.org/10.3109/0284186x.2014.998275.

    Article  PubMed  Google Scholar 

  15. Cannioto RA, Hutson A, Dighe S, Mccann W, Mccann SE, Zirpoli GR, Barlow W, Kelly KM, Denysschen CA, Dl H, Unger JM, Moore HCF, Stewart JA, Isaacs C, Hobday TJ, Salim M, Hortobagyi GN, Gralow J, Albain KS, Budd GT, Ambrosone CB. Physical activity before during and after chemotherapy for high-risk breast cancer relationships with survival. J Natl Cancer Inst. 2020. https://doi.org/10.1093/Jnci/Djaa046.

    Article  PubMed Central  Google Scholar 

  16. Courneya KS, Segal RJ, McKenzie DC, Dong H, Gelmon K, Friedenreich CM, Yasui Y, Reid RD, Crawforf JJ, Mackey JR. Effects of exercise during adjuvant chemotherapy on breast cancer outcomes. Med Sci Sports Exerc. 2014;46(9):1744–51. https://doi.org/10.1249/Mss.0000000000000297.

    Article  CAS  PubMed  Google Scholar 

  17. Ibrahim EM, Al-Homaidh A. Physical activity and survival after breast cancer diagnosis: meta-analysis of published studies. Med Oncol. 2011;28(3):753–65. https://doi.org/10.1007/S12032-010-9536-X.

    Article  PubMed  Google Scholar 

  18. Sweeney C, Schmitz KH, Lazovich D, Virnig BA, Wallace RB, Folsom AR. Functional limitations in elderly female cancer survivors. J Natl Cancer Inst. 2006;98(8):521–9. https://doi.org/10.1093/Jnci/Djj130.

    Article  PubMed  Google Scholar 

  19. Holick CN, Newcomb PA, Trentham-Dietz A, Titus-Ernstoff L, Bersch AJ, Stampfer MJ, Baron JA, Egan KM, Willett WC. Physical activity and survival after diagnosis of invasive breast cancer. Cancer Epidemiol Biomarkers Prev. 2008;17(2):379–86. https://doi.org/10.1158/1055-9965.Epi-07-0771.

    Article  PubMed  Google Scholar 

  20. Mandelblatt JS, Cai L, Luta G, Kimmick G, Clapp J, Isaacs C, Pitcher B, Barry W, Winer E, Sugarman S, Hudis C, Muss H, Cohen HJ, Hurria A. Frailty and long-term mortality of older breast cancer patients: Calgb 369901 (Alliance). Breast Cancer Res Treat. 2017;164(1):107–17. https://doi.org/10.1007/S10549-017-4222-8.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  21. Kent EE, Malinoff R, Rozjabek HM, Ambs A, Clauser SB, Topor MA, Yuan G, Burroughs J, Rodgers AB, Demichele K. Revisiting the surveillance epidemiology and end results cancer registry and medicare health outcomes survey (Seer-Mhos) linked data resource for patient-reported outcomes research in older adults with cancer. J Am Geriatr Soc. 2016;64(1):186–92. https://doi.org/10.1111/Jgs.13888E.

    Article  PubMed  Google Scholar 

  22. Program Ncihdr The Seer Mhos Data File: Seer prorgram data and overview https://healthcaredelivery.cancer.gov/Seer-Mhos/Aboutdata/Overview.html. Accessed 10 Aug 2021.

  23. Program Ncihdr total number of Seer-Mhos participants. https://Healthcaredelivery.Cancer.Gov/Seer-Mhos/Aboutdata/Num_Patients.html. Accessed 10 Aug 2021.

  24. Program Ncihdr response rates to Mhos baseline survey. https://Healthcaredelivery.Cancer.Gov/Seer-Mhos/Aboutdata/Table.Response.Rates-Baseline.html. Accessed 10 Aug 2021.

  25. Suissa S. The Quasi-Cohort approach in pharmacoepidemiology: upgrading the nested case-control. Epidemiology. 2015;26(2):242–6. https://doi.org/10.1097/Ede.0000000000000221.

    Article  PubMed  Google Scholar 

  26. Ware JE Jr, Sherbourne CD. The Mos 36-item short-form health survey (Sf-36). I. Conceptual framework and item selection. Med Care. 1992;30(6):473–83.

    Article  Google Scholar 

  27. Iqbal SRW, Selim A, Quian S, Lee A, Ren X, Rothendler J, Miller D, Kazis L. The Veterans Rand 12 Item Health Survey (Vr-12): what it is and how it is used, 2007.

  28. Hays RD, Cathy DS, Rebecca M. User's manual for the medical outcomes study (Mos) core measures of health-related quality of life, 1995.

  29. Selim A, Rogers W, Qian S, Rothendler JA, Kent EE, Kazis LE. A new algorithm to build bridges between two patient-reported health outcome instruments: The Mos Sf-36(R) and the Vr-12 health survey. Qual Life Res. 2018;27(8):2195–206. https://doi.org/10.1007/S11136-018-1850-3.

    Article  PubMed  Google Scholar 

  30. Zhou J, Asfaw AA, Nabulsi NA, Mukand NA, Lee I, Ko NY, Boudreau DM, Calip GS. Hsr20–113: diabetes complications and risks of breast cancer recurrence among older women. JNCCN. 2020;18(3.5):Hsr20-113. https://doi.org/10.6004/Jnccn.2019.7475.

    Article  Google Scholar 

  31. Chen L, Chubak J, Boudreau DM, Barlow WE, Weiss NS, Li CI. Diabetes treatments and risks of adverse breast cancer outcomes among early-stage breast cancer patients: a seer-medicare analysis. Cancer Res. 2017;77(21):6033–41. https://doi.org/10.1158/0008-5472.Can-17-0687.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  32. Essebag V, Platt RW, Abrahamowicz M, Pilote L. Comparison of nested case-control and survival analysis methodologies for analysis of time-dependent exposure. BMC Med Res Methodol. 2005;5(1):5. https://doi.org/10.1186/1471-2288-5-5.

    Article  PubMed  PubMed Central  Google Scholar 

  33. Ring A, Harder H, Langridge C, Ballinger RS, Fallowfield LJ. Adjuvant chemotherapy in elderly women with breast cancer (Achew): an observational study identifying Mdt perceptions and barriers to decision making. Ann Oncol. 2013;24(5):1211–9. https://doi.org/10.1093/Annonc/Mds642.

    Article  CAS  PubMed  Google Scholar 

  34. Braithwaite D, Satariano WA, Sternfeld B, Hiatt RA, Ganz PA, Kerlikowske K, Moore DH, Slattery MI, Tammemagi M, Castillo A, Melisko M, Esserman L, Weltzien EK, Caan BJ. Long-term prognostic role of functional limitations among women with breast cancer. J Natl Cancer Inst. 2010;102(19):1468–77. https://doi.org/10.1093/Jnci/Djq344.

    Article  PubMed  PubMed Central  Google Scholar 

  35. Sheppard VB, Faul LA, Luta G, Clapp JD, Rl Y, Wang JH, Kimmick G, Isaacs C, Tallarico M, Barry WT, Pitcher BN, Hudis C, Winer EP, Cohen HJ, Muss HB, Hurria A, Mandelblatt JS. Frailty and adherence to adjuvant hormonal therapy in older women with breast cancer: Calgb Protocol 369901. J Clin Oncol. 2014;32(22):2318–27. https://doi.org/10.1200/Jco.2013.51.7367.

    Article  PubMed  PubMed Central  Google Scholar 

  36. Langballe R, Mellemkjaer L, Malone KE, Lynch CF, John EM, Knight JA, Bernstein L, Brooks J, Andersson M, Reiner AS, Liang X, Woods M, Concannon PJ, Bernstein JL. Systemic therapy for breast cancer and risk of subsequent contralateral breast cancer in the wecare study. Breast Cancer Research : Bcr. 2016;18(1):65. https://doi.org/10.1186/S13058-016-0726-0.

    Article  PubMed  PubMed Central  Google Scholar 

  37. Marcos-Perez D, Sanchez-Flores M, Maseda A, Lorenzo-Lopez L, Millan-Calenti JC, Gostner JM, Fuchs D, Pasaro E, Laffon B, Valdiglesias V. Frailty in older adults is associated with plasma concentrations of inflammatory mediators but not with lymphocyte subpopulations. Front Immunol. 2018;9:1056. https://doi.org/10.3389/Fimmu.2018.01056.

    Article  PubMed  PubMed Central  Google Scholar 

  38. Gross AL, Newschaffer CJ, Hoffman-Bolton J, Rifai N, Visvanathan K. Adipocytokines, inflammation, and breast cancer risk in postmenopausal women: a prospective study. Cancer Epidemiol Biomarkers Prev. 2013;22(7):1319–24. https://doi.org/10.1158/1055-9965.Epi-12-1444.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  39. De Glas NA, Hamaker ME, Kiderlen M, De Craen AJ, Mooijaart SP, Van De Velde CJ, Van Munster BC, Portielje JE, Liefers GJ, Bastiaannet E. Choosing relevant endpoints for older breast cancer patients in clinical trials: an overview of all current clinical trials on breast cancer treatment. Breast Cancer Res Treat. 2014;146(3):591–7. https://doi.org/10.1007/S10549-014-3038-Z.

    Article  PubMed  Google Scholar 

  40. Ambs A, Warren JL, Bellizzi KM, Topor M, Haffer SC, Clauser SB. Overview of the seer-medicare health outcomes survey linked dataset. Health Care Financ Rev. 2008;29(4):5–21.

    PubMed  PubMed Central  Google Scholar 

  41. Riley G. Two-year changes in health and functional status among elderly medicare beneficiaries in Hmos and fee-for-service. Health Serv Res. 2000;35(5 Pt 3):44–59.

    CAS  PubMed  PubMed Central  Google Scholar 

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Acknowledgements

This study used data from the Surveillance, Epidemiology, and End Results (SEER)—Medicare Health Outcomes Survey (MHOS) linked data resource. The authors acknowledge the role of the National Cancer Institute; the Centers for Medicare and Medicaid Services; MHOS; Information Management Services, Inc; and the SEER Program tumor registries in the creation of the SEER-MHOS database. The National Cancer Institute provided suggested edits and approval of the manuscript before final journal submission.

Funding

NHM was supported by the University of Illinois Cancer Center Pfizer Fellowship. Research reported in this publication was supported, in part, by the National Institutes of Health’s National Cancer Institute, Grant Numbers U54CA202995, U54CA202997, and U54CA203000. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health.

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Correspondence to Gregory S. Calip.

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Dr. Calip reports current employment with Flatiron Health, Inc., which is an independent subsidiary of the Roche group; stock ownership in Roche; and research funding from Pfizer, Inc. unrelated to this study awarded to the University of Illinois at Chicago.

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Mukand, N.H., Ko, N.Y., Nabulsi, N.A. et al. The association between physical health-related quality of life, physical functioning, and risk of contralateral breast cancer among older women. Breast Cancer 29, 287–295 (2022). https://doi.org/10.1007/s12282-021-01309-x

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