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National trends in neoadjuvant chemotherapy utilization in patients with early-stage node-negative triple-negative breast cancer: the impact of the CREATE-X trial

  • Epidemiology
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Abstract

Purpose

Neoadjuvant chemotherapy (NAC) for triple-negative breast cancer (TNBC) allows for assessment of tumor pathological response and has survival implications. In 2017, the CREATE-X trial demonstrated survival benefit with adjuvant capecitabine in patients TNBC and residual disease after NAC. We aimed to assess national rates of NAC for cT1–2N0M0 TNBC before and after CREATE-X and examine factors associated with receiving NAC vs adjuvant chemotherapy (AC).

Methods

A retrospective cohort study of women with cT1-2N0M0 TNBC diagnosed from 2014 to 2019 in the National Cancer Database (NCDB) was performed. Variables were analyzed via ANOVA, Chi-squared, Fisher Exact tests, and a multivariate linear regression model was created.

Results

55,633 women were included: 26.9% received NAC, 52.4% AC, and 20.7% received no chemotherapy (median ages 53, 59, and 71 years, p < 0.01). NAC utilization significantly increased over time: 19.5% in 2014–15 (n = 3,465 of 17,777), 27.1% in 2016–17 (n = 5,140 of 18,985), and 33.6% in 2018–19 (n = 6,337 of 18,871, p < 0.001). On multivariate analysis, increased NAC was associated with younger age (< 50), non-Hispanic white race/ethnicity, lack of comorbidities, cT2 tumors, care at an academic or integrated-network cancer program, and diagnosis post-2017 (p < 0.05 for all). Patients with government-provided insurance were less likely to receive NAC (p < 0.01). Women who traveled > 60 miles for treatment were more likely to receive NAC (p < 0.01).

Conclusion

From 2014 to 2019, NAC utilization increased for patients with cT1–2N0M0 TNBC. Racial, socioeconomic, and access disparities were observed in who received NAC vs AC and warrants interventions to ensure equitable care.

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References

  1. Masuda N, Lee S-J, Ohtani S et al (2017) Adjuvant capecitabine for breast cancer after preoperative chemotherapy. N Engl J Med 376(22):2147–2159. https://doi.org/10.1056/nejmoa1612645

    Article  CAS  PubMed  Google Scholar 

  2. Schmid P, Cortes J, Pusztai L et al (2020) Pembrolizumab for early triple-negative breast cancer. N Engl J Med 382(9):810–821. https://doi.org/10.1056/nejmoa1910549

    Article  CAS  PubMed  Google Scholar 

  3. Mittendorf EA, Zhang H, Barrios CH et al (2020) Neoadjuvant atezolizumab in combination with sequential nab-paclitaxel and anthracycline-based chemotherapy versus placebo and chemotherapy in patients with early-stage triple-negative breast cancer (IMpassion031): a randomised, double-blind, phase 3 trial. Lancet 396(10257):1090–1100. https://doi.org/10.1016/S0140-6736(20)31953-X

    Article  CAS  PubMed  Google Scholar 

  4. Loibl S, Schneeweiss A, Huober J et al (2022) Neoadjuvant durvalumab improves survival in early triple-negative breast cancer independent of pathological complete response. Ann Oncol 33(11):1149–1158. https://doi.org/10.1016/j.annonc.2022.07.1940

    Article  CAS  PubMed  Google Scholar 

  5. Malorni L, Shetty PB, De Angelis C et al (2012) Clinical and biologic features of triple-negative breast cancers in a large cohort of patients with long-term follow-up. Breast Cancer Res Treat 136(3):795–804. https://doi.org/10.1007/s10549-012-2315-y

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  6. Bianchini G, Balko JM, Mayer IA, Sanders ME, Gianni L (2016) Triple-negative breast cancer: challenges and opportunities of a heterogeneous disease. Nat Rev Clin Oncol 13(11):674–690. https://doi.org/10.1038/nrclinonc.2016.66

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  7. Dent R, Trudeau M, Pritchard KI et al (2007) Triple-negative breast cancer: Clinical features and patterns of recurrence. Clin Cancer Res 13(15):4429–4434. https://doi.org/10.1158/1078-0432.ccr-06-3045

    Article  PubMed  Google Scholar 

  8. Cho B, Han Y, Lian M et al (2021) Evaluation of racial/ethnic differences in treatment and mortality among women with triple-negative breast cancer. JAMA Oncol 7(7):1016. https://doi.org/10.1001/jamaoncol.2021.1254

    Article  PubMed  Google Scholar 

  9. Toi M, Lee S-J, Lee ES, et al. A phase III trial of adjuvant capecitabine in breast cancer patients with HER2-negative pathologic residual invasive disease after neoadjuvant chemotherapy (CREATE-X, JBCRG-04). Abstract presented at: San Antonio Breast Cancer Symposium; December, 2015. S1–07.

  10. NCCN Guidelines for Breast Cancer V.3.2017 Meeting Updates. Accessed May 1, 2023.

  11. Telli M, Ward J, Gradishar W. NCCN guidelines updates: Breast cancer. Journal of the National Comprehensive Cancer Network: JNCCN. Accessed May 8, 2023. https://pubmed.ncbi.nlm.nih.gov/31117035/.

  12. Zujewski JA, Rubinstein L (2017) Create-x a role for Capecitabine in early-stage breast cancer: an analysis of available data. Npj Breast Cancer. https://doi.org/10.1038/s41523-017-0029-3

    Article  PubMed  PubMed Central  Google Scholar 

  13. Montemurro F, Nuzzolese I, Ponzone R (2020) Neoadjuvant or adjuvant chemotherapy in early breast cancer? Expert Opin Pharmacother 21(9):1071–1082. https://doi.org/10.1080/14656566.2020.1746273

    Article  PubMed  Google Scholar 

  14. Matuschek C, Jazmati D, Bölke E et al (2022) Post-neoadjuvant treatment strategies in breast cancer. Cancers 14(5):1246. https://doi.org/10.3390/cancers14051246

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  15. Wolmark N, Wang J, Mamounas E, Bryant J, Fisher B (2001) Preoperative chemotherapy in patients with operable breast cancer: nine-year results from national surgical adjuvant breast and bowel project B-18. J Natl Cancer Inst Monogr 30:96–102. https://doi.org/10.1093/oxfordjournals.jncimonographs.a003469

    Article  Google Scholar 

  16. Boughey JC (2013) Sentinel lymph node surgery after neoadjuvant chemotherapy in patients with node-positive breast cancer. JAMA 310(14):1455. https://doi.org/10.1001/jama.2013.278932

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  17. Le-Petross HT, McCall LM, Hunt KK et al (2018) Axillary ultrasound identifies residual nodal disease after chemotherapy: results from the american college of surgeons oncology group Z1071 trial (Alliance). AJR Am J Roentgenol 210(3):669–676. https://doi.org/10.2214/AJR.17.18295

    Article  PubMed  PubMed Central  Google Scholar 

  18. Boughey JC, Ballman KV, Le-Petross HT et al (2016) Identification and resection of clipped node decreases the false-negative rate of sentinel lymph node surgery in patients presenting with node-positive breast cancer (T0–T4, N1–N2) who receive neoadjuvant chemotherapy: results from ACOSOG Z1071 (Alliance). Ann Surg 263(4):802–807. https://doi.org/10.1097/SLA.0000000000001375

    Article  PubMed  Google Scholar 

  19. Caudle AS, Yang WT, Krishnamurthy S et al (2016) Improved axillary evaluation following neoadjuvant therapy for patients with node-positive breast cancer using selective evaluation of clipped nodes: implementation of targeted axillary dissection. J Clin Oncol 34(10):1072–1078. https://doi.org/10.1200/JCO.2015.64.0094

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  20. Korde LA, Somerfield MR, Carey LA et al (2021) Neoadjuvant chemotherapy, endocrine therapy, and targeted therapy for breast cancer: ASCO guideline. J Clin Oncol 39(13):1485–1505. https://doi.org/10.1200/JCO.20.03399

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  21. Huo X, Li J, Zhao F et al (2021) The role of capecitabine-based neoadjuvant and adjuvant chemotherapy in early-stage triple-negative breast cancer: a systematic review and meta-analysis. BMC Cancer. 21(1):78. https://doi.org/10.1186/s12885-021-07791-y

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  22. Fitzpatrick A, Tutt A (2019) Controversial issues in the neoadjuvant treatment of triple-negative breast cancer. Ther Adv Med Oncol. 11:1758835919882581. https://doi.org/10.1177/1758835919882581

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  23. Bilimoria KY, Stewart AK, Winchester DP, Ko CY (2008) the national cancer data base: a powerful initiative to improve cancer care in the United States. Ann Surg Oncol 15(3):683–690. https://doi.org/10.1245/s10434-007-9747-3

    Article  PubMed  PubMed Central  Google Scholar 

  24. About the National Cancer Database. American College of Surgeons. Accessed May 3, 2023. https://www.facs.org/quality-programs/cancer-programs/national-cancer-database/about/

  25. Martinez EO, Jorns JM, Kong AL et al (2022) Primary breast neuroendocrine tumors: an analysis of the national cancer database. Ann Surg Oncol 29(10):6339–6346. https://doi.org/10.1245/s10434-022-12123-w

    Article  PubMed  Google Scholar 

  26. Mills MN, Yang GQ, Oliver DE et al (2018) Histologic heterogeneity of triple negative breast cancer: a national cancer centre database analysis. Eur J Cancer 98:48–58. https://doi.org/10.1016/j.ejca.2018.04.011

    Article  PubMed  Google Scholar 

  27. Ong CT, Campbell BM, Thomas SM et al (2018) Metaplastic breast cancer treatment and outcomes in 2500 patients: a retrospective analysis of a national oncology database. Ann Surg Oncol 25(8):2249–2260. https://doi.org/10.1245/s10434-018-6533-3

    Article  PubMed  PubMed Central  Google Scholar 

  28. Deyo R (1992) Adapting a clinical comorbidity index for use with ICD-9-CM administrative databases. J Clin Epidemiol 45(6):613–619. https://doi.org/10.1016/0895-4356(92)90133-8

    Article  CAS  PubMed  Google Scholar 

  29. Duchesneau ED, An SJ, Strassle PD et al (2022) Sociodemographic and clinical predictors of neoadjuvant chemotherapy in CT1-T2/n0 Her2-amplified breast cancer. Ann Surg Oncol 29(5):3051–3061. https://doi.org/10.1245/s10434-021-11260-y

    Article  PubMed  PubMed Central  Google Scholar 

  30. Zhang H, Barner JC, Moczygemba LR, Rascati KL, Park C, Kodali D (2022) Neoadjuvant chemotherapy use trends among older women with breast cancer: 2010–2017. Breast Cancer Res Treat 193(3):695–705. https://doi.org/10.1007/s10549-022-06604-5

    Article  CAS  PubMed  Google Scholar 

  31. Puig CA, Hoskin TL, Day CN, Habermann EB, Boughey JC (2016) National trends in the use of neoadjuvant chemotherapy for hormone receptor-negative breast cancer: a national cancer data base study. Ann Surg Oncol 24(5):1242–1250. https://doi.org/10.1245/s10434-016-5733-y

    Article  PubMed  Google Scholar 

  32. Lorentzen T, Heidemann LN, Möller S, Bille C (2022) Impact of neoadjuvant chemotherapy on surgical complications in breast cancer: a systematic review and meta-analysis. Eur J Surg Oncol 48(1):44–52. https://doi.org/10.1016/j.ejso.2021.09.007

    Article  PubMed  Google Scholar 

  33. Brown L, Carr MJ, Sam C et al (2023) Tolerance and outcomes of neoadjuvant chemotherapy in geriatric breast cancer patients. J Surg Res 283:329–335. https://doi.org/10.1016/j.jss.2022.10.092

    Article  CAS  PubMed  Google Scholar 

  34. Curigliano G, Burstein HJ, Winer EP et al (2017) De-escalating and escalating treatments for early-stage breast cancer The St Gallen international expert consensus conference on the primary therapy of early breast cancer. Annals of Oncology 28(8):1700–1712. https://doi.org/10.1093/annonc/mdx308

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  35. Hershman DL, Till C, Wright JD et al (2016) Comorbidities and risk of chemotherapy-induced peripheral neuropathy among participants 65 years or older in Southwest oncology group clinical trials. J Clin Oncol 34(25):3014–3022. https://doi.org/10.1200/jco.2015.66.2346

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  36. Johnson-Arbor K, Dubey R. Doxorubicin. In: Statpearls. StatPearls Publishing; 2023.

  37. Ogino M, Tadi P. Cyclophosphamide. In: Statpearls. StatPearls Publishing; 2022.

  38. Thompson AM, Moulder-Thompson SL (2012) Neoadjuvant treatment of breast cancer. Ann Oncol 23:x231–x236. https://doi.org/10.1093/annonc/mds324

    Article  PubMed  PubMed Central  Google Scholar 

  39. Newman LA, Kaljee LM (2017) Health disparities and triple-negative breast cancer in african american women: a review. JAMA Surg 152(5):485–493. https://doi.org/10.1001/jamasurg.2017.0005

    Article  PubMed  Google Scholar 

  40. Shavers VL, Brown ML (2002) Racial and ethnic disparities in the receipt of cancer treatment. J Natl Cancer Inst 94(5):334–357. https://doi.org/10.1093/jnci/94.5.334

    Article  PubMed  Google Scholar 

  41. Hershman D, McBride R, Jacobson JS et al (2005) Racial disparities in treatment and survival among women with early-stage breast cancer. J Clin Oncol 23(27):6639–6646. https://doi.org/10.1200/JCO.2005.12.633

    Article  PubMed  Google Scholar 

  42. Reyes SA, King TA, Fei K, Franco R, Bickell NA (2016) Factors affecting the completion of adjuvant chemotherapy in early-stage breast cancer. Ann Surg Oncol 23(5):1537–1542. https://doi.org/10.1245/s10434-015-5039-5

    Article  PubMed  Google Scholar 

  43. Zipkin RJ, Schaefer A, Wang C et al (2022) Rural-Urban differences in breast cancer surgical delays in medicare beneficiaries. Ann Surg Oncol 29(9):5759–5769. https://doi.org/10.1245/s10434-022-11834-4

    Article  PubMed  PubMed Central  Google Scholar 

  44. Connors SK, Goodman MS, Myckatyn T, Margenthaler J, Gehlert S (2016) Breast reconstruction after mastectomy at a comprehensive cancer center. Springerplus. 5(1):955. https://doi.org/10.1186/s40064-016-2375-2

    Article  PubMed  PubMed Central  Google Scholar 

  45. Black DM, Jiang J, Kuerer HM, Buchholz TA, Smith BD (2014) Racial disparities in adoption of axillary sentinel lymph node biopsy and lymphedema risk in women with breast cancer. JAMA Surg 149(8):788–796. https://doi.org/10.1001/jamasurg.2014.23

    Article  PubMed  PubMed Central  Google Scholar 

  46. Cortina CS, Bergom CR, Kijack J, Thorgerson AA, Huang CS, Kong AL (2021) Postmastectomy breast reconstruction in women aged 70 and older: An analysis of the national cancer database (NCDB). Surgery 170(1):30–38. https://doi.org/10.1016/j.surg.2021.03.033

    Article  PubMed  Google Scholar 

  47. Hershman D, Weinberg M, Rosner Z et al (2003) Ethnic neutropenia and treatment delay in African American women undergoing chemotherapy for early-stage breast cancer. J Natl Cancer Inst 95(20):1545–1548. https://doi.org/10.1093/jnci/djg073

    Article  PubMed  Google Scholar 

  48. Hershman DL, Unger JM, Barlow WE et al (2009) Treatment quality and outcomes of African American versus white breast cancer patients: retrospective analysis of Southwest oncology studies S8814/S8897. J Clin Oncol 27(13):2157–2162. https://doi.org/10.1200/JCO.2008.19.1163

    Article  PubMed  PubMed Central  Google Scholar 

  49. Bickell NA, Wang JJ, Oluwole S et al (2006) Missed opportunities: racial disparities in adjuvant breast cancer treatment. J Clin Oncol 24(9):1357–1362. https://doi.org/10.1200/JCO.2005.04.5799

    Article  PubMed  Google Scholar 

  50. Lipscomb J, Gillespie TW, Goodman M et al (2012) Black-white differences in receipt and completion of adjuvant chemotherapy among breast cancer patients in a rural region of the US. Breast Cancer Res Treat 133(1):285–296. https://doi.org/10.1007/s10549-011-1916-1

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  51. Daly B, Olopade OI (2015) A perfect storm: How tumor biology, genomics, and health care delivery patterns collide to create a racial survival disparity in breast cancer and proposed interventions for change. CA Cancer J Clin 65(3):221–238. https://doi.org/10.3322/caac.21271

    Article  PubMed  Google Scholar 

  52. Ward E, Jemal A, Cokkinides V et al (2004) Cancer disparities by race/ethnicity and socioeconomic status. CA Cancer J Clin 54(2):78–93. https://doi.org/10.3322/canjclin.54.2.78

    Article  PubMed  Google Scholar 

  53. Magai C, Consedine NS, Adjei BA, Hershman D, Neugut A (2008) Psychosocial influences on suboptimal adjuvant breast cancer treatment adherence among African American women: implications for education and intervention. Health Educ Behav 35(6):835–854. https://doi.org/10.1177/1090198107303281

    Article  PubMed  Google Scholar 

  54. Chen JY, Diamant AL, Thind A, Maly RC (2008) Determinants of breast cancer knowledge among newly diagnosed, low-income, medically underserved women with breast cancer. Cancer 112(5):1153–1161. https://doi.org/10.1002/cncr.23262

    Article  PubMed  Google Scholar 

  55. Freedman RA, Virgo KS, He Y et al (2011) The association of race/ethnicity, insurance status, and socioeconomic factors with breast cancer care. Cancer 117(1):180–189. https://doi.org/10.1002/cncr.25542

    Article  PubMed  Google Scholar 

  56. Mujumdar V, Butler TR, Shalowitz DI (2021) A qualitative study on the impact of long-distance travel for gynecologic cancer care. Gynecol Oncol Rep. 38:100868. https://doi.org/10.1016/j.gore.2021.100868

    Article  PubMed  PubMed Central  Google Scholar 

  57. Wolfe MK, McDonald NC, Holmes GM (2020) Transportation barriers to health care in the United States: findings from the national health interview survey, 1997–2017. Am J Public Health 110(6):815–822. https://doi.org/10.2105/AJPH.2020.305579

    Article  PubMed  PubMed Central  Google Scholar 

  58. Wheeler SB, Spencer JC, Pinheiro LC, Carey LA, Olshan AF, Reeder-Hayes KE (2018) Financial impact of breast cancer in black versus white women. J Clin Oncol 36(17):1695–1701. https://doi.org/10.1200/JCO.2017.77.6310

    Article  PubMed  PubMed Central  Google Scholar 

  59. McDermott AM, Wall DM, Waters PS et al (2013) Surgeon and breast unit volume-outcome relationships in breast cancer surgery and treatment. Ann Surg 258(5):808–814. https://doi.org/10.1097/SLA.0b013e3182a66eb0

    Article  PubMed  Google Scholar 

  60. Kong AL, Pezzin LE, Nattinger AB (2015) Identifying patterns of breast cancer care provided at high-volume hospitals: a classification and regression tree analysis. Breast Cancer Res Treat 153(3):689–698. https://doi.org/10.1007/s10549-015-3561-6

    Article  PubMed  Google Scholar 

  61. Bilimoria KY, Bentrem DJ, Stewart AK, Winchester DP, Ko CY (2009) Comparison of commission on cancer-approved and -nonapproved hospitals in the United States: implications for studies that use the national cancer data base. J Clin Oncol 27(25):4177–4181. https://doi.org/10.1200/JCO.2008.21.7018

    Article  PubMed  Google Scholar 

  62. Tutt ANJ, Garber JE, Kaufman B et al (2021) Adjuvant Olaparib for Patients with BRCA1- or BRCA2-Mutated Breast Cancer. N Engl J Med 384(25):2394–2405. https://doi.org/10.1056/NEJMoa2105215

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  63. von Minckwitz G, Huang CS, Mano MS et al (2019) Trastuzumab Emtansine for residual invasive HER2-positive breast cancer. N Engl J Med 380(7):617–628. https://doi.org/10.1056/NEJMoa1814017

    Article  Google Scholar 

  64. Esserman L (2016) The I-SPY approach to drug development. Clin Adv Hematol Oncol 14(10):782–784

    PubMed  Google Scholar 

  65. Campbell JI, Yau C, Krass P et al (2017) Comparison of residual cancer burden, American Joint Committee on Cancer staging and pathologic complete response in breast cancer after neoadjuvant chemotherapy: results from the I-SPY 1 TRIAL (CALGB 150007/150012; ACRIN 6657). Breast Cancer Res Treat 165(1):181–191. https://doi.org/10.1007/s10549-017-4303-8

    Article  PubMed  PubMed Central  Google Scholar 

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Funding

CSC is supported by the National Institutes of Health (NIH) under Award Number 1K08CA276706-01A1 (PI: Cortina). The content of this manuscript is soley the responsiblity of the authors and does not neccessarily represent the official views of the NIH.

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Rogers, C., Cobb, A.N., Lloren, J.I.C. et al. National trends in neoadjuvant chemotherapy utilization in patients with early-stage node-negative triple-negative breast cancer: the impact of the CREATE-X trial. Breast Cancer Res Treat 203, 317–328 (2024). https://doi.org/10.1007/s10549-023-07114-8

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