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Patterns of chemotherapy, toxicity, and short-term outcomes for older women receiving adjuvant trastuzumab-based therapy

  • Epidemiology
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Abstract

Limited data are available regarding patterns of chemotherapy receipt and treatment-related toxicities for older women receiving adjuvant trastuzumab-based therapy. We used surveillance, epidemiology and end results (SEER)-Medicare data to identify patients ≥66 years with stage I–III breast cancer treated during 2005–2009, who received trastuzumab-based therapy. We examined patterns of chemotherapy receipt, and using multivariable logistic regression, we examined associations of age and comorbidity with non-standard chemotherapy. In propensity-weighted cohorts of women receiving standard and non-standard trastuzumab-based therapy, we also examined rates of (1) hospital events during the first 6 months of chemotherapy and (2) short-term survival. Among 2,106 women, 29.7 % were aged ≥76 and 66 % had a comorbidity score = 0. Overall, 31.3 % of women received non-standard chemotherapy. Compared to patients aged 66–70, older patients more often received non-standard chemotherapy [adjusted odds ratio (OR) = 4.1, 95 % confidence interval (CI) = 3.40–4.92 (ages 76–80); OR = 15.3, 95 %CI = 9.92–23.67 (age ≥ 80)]. However, comorbidity was not associated with receipt of non-standard chemotherapy. After propensity score adjustment, hospitalizations were more frequent in the standard (vs. non-standard) group (adjusted OR = 1.7, 95 % CI = 1.29–2.24). With a median follow-up of 2.8 years, 276 deaths occurred; the adjusted hazard ratio (HR) for death was lower in standard versus non-standard treated women (HR = 0.69, 95 % CI = 0.52–0.91). Among a population-based cohort of older women receiving trastuzumab, nearly one-third received non-standard chemotherapy, with the highest rates among the oldest women. Non-standard chemotherapy was associated with fewer toxicity-related hospitalizations but worse survival. Further exploration of treatment toxicities and outcomes for older women with HER2-positive breast cancer is warranted.

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References

  1. Cho HS, Mason K, Ramyar KX et al (2003) Structure of the extracellular region of HER2 alone and in complex with the Herceptin Fab. Nature 421:756–760

    Article  CAS  PubMed  Google Scholar 

  2. Yarden Y (2001) The EGFR family and its ligands in human cancer. Signalling mechanisms and therapeutic opportunities. Eur J Cancer 37(Suppl 4):S3–S8

    Article  CAS  PubMed  Google Scholar 

  3. Clarke CA, Keegan TH, Yang J et al (2012) Age-specific incidence of breast cancer subtypes: understanding the black–white crossover. J Natl Cancer Inst 104:1094–1101

    Article  PubMed Central  PubMed  Google Scholar 

  4. Laird-Fick H, Gardiner J, Tokala H et al (2013) HER2 status in elderly women with breast cancer. J Geriatr Oncol 4:362–367

    Article  PubMed  Google Scholar 

  5. Romond EH, Perez EA, Bryant J et al (2005) Trastuzumab plus adjuvant chemotherapy for operable HER2-positive breast cancer. N Engl J Med 353:1673–1684

    Article  CAS  PubMed  Google Scholar 

  6. Piccart-Gebhart MJ, Procter M, Leyland-Jones B et al (2005) Trastuzumab after adjuvant chemotherapy in HER2-positive breast cancer. N Engl J Med 353:1659–1672

    Article  CAS  PubMed  Google Scholar 

  7. Perez EA, Romond EH, Suman VJ et al (2011) Four-year follow-up of trastuzumab plus adjuvant chemotherapy for operable human epidermal growth factor receptor 2-positive breast cancer: joint analysis of data from NCCTG N9831 and NSABP B-31. J Clin Oncol 29:3366–3373

    Article  CAS  PubMed Central  PubMed  Google Scholar 

  8. National Comprehensive Cancer Network (2013) Clinical practice guidelines in oncology. Breast Cancer V.3.2013 http://www.nccn.org/professionals/physician_gls/pdf/breast.pdf. Accessed 10 Oct 2013

  9. Freedman RA, Hughes ME, Ottesen RA et al (2013) Use of adjuvant trastuzumab in women with human epidermal growth factor receptor 2 (HER2)-positive breast cancer by race/ethnicity and education within the National Comprehensive Cancer Network. Cancer 119:839–846

    Article  CAS  PubMed Central  PubMed  Google Scholar 

  10. Vaz-Luis I, Keating NL, Lin NU et al (2014) Duration and toxicity of adjuvant trastuzumab in older patients with early-stage breast cancer: a population-based study. J Clin Oncol 32:927–934

    Article  PubMed  Google Scholar 

  11. Griggs JJ, Culakova E, Sorbero ME et al (2007) Social and racial differences in selection of breast cancer adjuvant chemotherapy regimens. J Clin Oncol 25:2522–2527

    Article  PubMed  Google Scholar 

  12. Howlader N, Noone AM, Krapcho M, Neyman N, Aminou R, Waldron W, Altekruse SF, Kosary CL, Ruhl J, Tatalovich Z, Cho H, Mariotto A, Eisner MP, Lewis DR, Chen HS, Feuer EJ, Cronin KA, Edwards BK (eds) SEER cancer statistics review, 1975–2008, National Cancer Institute, Bethesda. http://seer.cancer.gov/csr/1975_2008/, based on November 2010 SEER data submission, posted to the SEER web site, 2011

  13. SEER-Medicare: how the SEER & Medicare data are linked. http://healthservices.cancer.gov/seermedicare/overview/linked.html. Accessed 20 Oct 2009

  14. Warren JL, Klabunde CN, Schrag D et al (2002) Overview of the SEER-Medicare data: content, research applications, and generalizability to the United States elderly population. Med Care 40:IV-3–IV-18

    Google Scholar 

  15. Hassett MJ, O’Malley AJ, Pakes JR et al (2006) Frequency and cost of chemotherapy-related serious adverse effects in a population sample of women with breast cancer. J Natl Cancer Inst 98:1108–1117

    Article  PubMed  Google Scholar 

  16. Du XL, Osborne C, Goodwin JS (2002) Population-based assessment of hospitalizations for toxicity from chemotherapy in older women with breast cancer. J Clin Oncol 20:4636–4642

    Article  PubMed Central  PubMed  Google Scholar 

  17. Klabunde CN, Potosky AL, Legler JM, Warren JL (2000) Development of a comorbidity index using physician claims data. J Clin Epidemiol 53:1258–1267

    Article  CAS  PubMed  Google Scholar 

  18. Charlson M, Szatrowski TP, Peterson J, Gold J (1994) Validation of a combined comorbidity index. J Clin Epidemiol 47:1245–1251

    Article  CAS  PubMed  Google Scholar 

  19. Hirano K, Imbens G (2001) Estimation of causal effects using propensity score weighting: an application to data on right heart catheterization. Health Serv Outcomes Res Method 2:259–278

    Article  Google Scholar 

  20. Rosenbaum P, Rubin D (1984) Reducing bias in observational studies using subclassification on the propensity score. J Am Stat Assoc 79:516–524

    Article  Google Scholar 

  21. Rubin DB (1997) Estimating causal effects from large data sets using propensity scores. Ann Intern Med 127:757–763

    Article  CAS  PubMed  Google Scholar 

  22. Joffe MM, Ten Have TR, Feldman HI, Kimmel SE (2004) Model selection, confounder control, and marginal structural models: review and new applications. Am Statistician 58:272–279

    Article  Google Scholar 

  23. Lin DY, Psaty BM, Kronmal RA (1998) Assessing the sensitivity of regression results to unmeasured confounders in observational studies. Biometrics 54:948–963

    Article  CAS  PubMed  Google Scholar 

  24. Lamont EB, Landrum MB, Keating NL et al (2010) Differences in clinical trial patient attributes and outcomes according to enrollment setting. J Clin Oncol 28:215–221

    Article  PubMed Central  PubMed  Google Scholar 

  25. Lamont EB, Hayreh D, Pickett KE et al (2003) Is patient travel distance associated with survival on phase II clinical trials in oncology? J Natl Cancer Inst 95:1370–1375

    Article  PubMed  Google Scholar 

  26. Muss HB, Woolf S, Berry D et al (2005) Adjuvant chemotherapy in older and younger women with lymph node-positive breast cancer. JAMA 293:1073–1081

    Article  CAS  PubMed  Google Scholar 

  27. Muss HB, Berry DA, Cirrincione C et al (2007) Toxicity of older and younger patients treated with adjuvant chemotherapy for node-positive breast cancer: the cancer and leukemia group B experience. J Clin Oncol 25:3699–3704

    Article  CAS  PubMed  Google Scholar 

  28. Bouchardy C, Rapiti E, Fioretta G et al (2003) Undertreatment strongly decreases prognosis of breast cancer in elderly women. J Clin Oncol 21:3580–3587

    Article  PubMed  Google Scholar 

  29. Hebert-Croteau N, Brisson J, Latreille J et al (1999) Compliance with consensus recommendations for the treatment of early stage breast carcinoma in elderly women. Cancer 85:1104–1113

    Article  CAS  PubMed  Google Scholar 

  30. Elkin EB, Hurria A, Mitra N et al (2006) Adjuvant chemotherapy and survival in older women with hormone receptor-negative breast cancer: assessing outcome in a population-based, observational cohort. J Clin Oncol 24:2757–2764

    Article  PubMed  Google Scholar 

  31. Giordano SH, Duan Z, Kuo YF et al (2006) Use and outcomes of adjuvant chemotherapy in older women with breast cancer. J Clin Oncol 24:2750–2756

    Article  PubMed  Google Scholar 

  32. Yancik R, Wesley MN, Ries LA et al (2001) Effect of age and comorbidity in postmenopausal breast cancer patients aged 55 years and older. JAMA 285:885–892

    Article  CAS  PubMed  Google Scholar 

  33. Leyland-Jones B, Gelmon K, Ayoub JP et al (2003) Pharmacokinetics, safety, and efficacy of trastuzumab administered every three weeks in combination with paclitaxel. J Clin Oncol 21:3965–3971

    Article  CAS  PubMed  Google Scholar 

  34. Slamon DJ, Leyland-Jones B, Shak S et al (2001) Use of chemotherapy plus a monoclonal antibody against HER2 for metastatic breast cancer that overexpresses HER2. N Engl J Med 344:783–792

    Article  CAS  PubMed  Google Scholar 

  35. Tolaney SM, Barry WT, Dang CT et al (2013) A phase II study of adjuvant paclitaxel (T) and trastuzumab (H) (APT Trial) for node-negative, HER2-positive breast cancer (BC). Presented at the San Antonio Breast Cancer Symposium on 12 Dec 2013, Abstract #974

  36. Warren JL, Harlan LC, Fahey A et al (2002) Utility of the SEER-Medicare data to identify chemotherapy use. Med Care 40:55–61

    Google Scholar 

  37. Bikov KA, Mullins CD, Seal B et al (2013) Algorithm for identifying chemotherapy/biological regimens for metastatic colon cancer in SEER-Medicare. Med Care. epub ahead of print

  38. Lund JL, Sturmer T, Harlan LC et al (2013) Identifying specific chemotherapeutic agents in Medicare data: a validation study. Med Care 51:e27–e34

    Article  PubMed Central  PubMed  Google Scholar 

  39. Burstein HJ, Piccart-Gebhart MJ, Perez EA et al (2012) Choosing the best trastuzumab-based adjuvant chemotherapy regimen: should we abandon anthracyclines? J Clin Oncol 30:2179–2182

    Article  CAS  PubMed  Google Scholar 

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Acknowledgments

This study used the linked SEER-Medicare database. The interpretation and reporting of these data are the sole responsibility of the authors. The authors acknowledge the efforts of the Applied Research Program, NCI; the Office of Research, Development and Information, CMS; Information Management Services (IMS), Inc.; and the Surveillance, Epidemiology, and End Results (SEER) Program tumor registries in the creation of the SEER-Medicare database. The collection of the California cancer incidence data used in this study was supported by the California Department of Public Health as part of the statewide cancer reporting program mandated by California Health and Safety Code Section 103885; the National Cancer Institute’s Surveillance, Epidemiology and End Results Program under contract N01-PC-35136 awarded to the Northern California Cancer Center, contract N01-PC-35139 awarded to the University of Southern California, and contract N02-PC-15105 awarded to the Public Health Institute; and the Centers for Disease Control and Prevention’s National Program of Cancer Registries, under agreement #U55/CCR921930-02 awarded to the Public Health Institute. The ideas and opinions expressed herein are those of the author(s) and endorsement by the State of California, Department of Public Health the National Cancer Institute, and the Centers for Disease Control and Prevention or their Contractors and Subcontractors is not intended nor should be inferred. The study was supported by the National Cancer Institute Specialized Program of Research Excellence in Breast Cancer (NIH P50 CA089393), the CJL Foundation (to W T Barry), ACT NOW fund, Susan G. Komen for the Cure (to E P Winer and N L Keating), Fundacao para a Ciencia e Tecnologia (HMSP-ICS/0004/2011, Career Development Award) (to I Vaz-Luis) and a Dana-Farber Cancer Institute Friends Grant (to R Freedman).

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The authors declare that they have no conflict of interest.

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Correspondence to Rachel A. Freedman.

Appendix

Appendix

See Tables 4, 5, and 6.

Table 4 J-codes used to identify chemotherapy regimens
Table 5 International classification of diseases 9 (ICD9) codes used to define hospital events [15, 16]
Table 6 Characteristics among women who received non-standard and standard chemotherapy, after propensity weighting, %

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Freedman, R.A., Vaz-Luis, I., Barry, W.T. et al. Patterns of chemotherapy, toxicity, and short-term outcomes for older women receiving adjuvant trastuzumab-based therapy. Breast Cancer Res Treat 145, 491–501 (2014). https://doi.org/10.1007/s10549-014-2968-9

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