Skip to main content

Neoadjuvant Therapy in Breast Cancer

  • Chapter
  • 971 Accesses

Abstract

Neoadjuvant therapy (NAT), often referred to as primary therapy, is a wellestablished approach in the treatment of early breast cancer [1, 2]. Historically, NAT was initially used in women with locally advanced breast cancer. In this setting it represented the only chance for a patient with an otherwise inoperable cancer of the breast to obtain a tumor regression that made surgery feasible. These experiences in locally advanced tumors suggested that the primary breast cancers regressed frequently and, sometimes, became clinically undetectable during NAT. From locally advanced tumors, NAT was then studied in women with operable breast cancers, in whom it was speculated that anticancer treatment administered before surgery would offer a number of advantages compared to the traditional approach of surgery followed by adjuvant treatments. For example, in animal models, removal of the primary tumor was shown to have a permissive effect on distant micrometastases [3]; consequently, in the interval after breast surgery, micrometastases could grow to the extent that subsequent adjuvant treatments lost their efficacy. When potent chemotherapy agents such as the anthracyclines and, later, the taxanes became available, the rates of tumor regression observed in breast tumors were so impressive that NAT became synonymous with neoadjuvant chemotherapy (NAC).

This is a preview of subscription content, log in via an institution.

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD   54.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

References

  1. Kaufmann M, von MG, Smith R et al (2003) International expert panel on the use of primary (preoperative) systemic treatment of operable breast cancer: review and recommendations. J Clin Oncol 21:2600–2608

    Article  PubMed  Google Scholar 

  2. Kaufmann M, Hortobagyi GN, Goldhirsch A et al (2006) Recommendations from an international expert panel on the use of neoadjuvant (primary) systemic treatment of operable breast cancer: an update. J Clin Oncol 24:1940–1949

    Article  PubMed  Google Scholar 

  3. Fisher B, Saffer E, Rudock C et al (1989) Effect of local or systemic treatment prior to primary tumor removal on the production and response to a serum growth-stimulating factor in mice. Cancer Res 49:2002–2004

    PubMed  CAS  Google Scholar 

  4. Fisher B, Brown A, Mamounas E et al (1997) Effect of preoperative chemotherapy on localregional disease in women with operable breast cancer: findings from National Surgical Adjuvant Breast and Bowel Project B-18. J Clin Oncol 15:2483–2493

    PubMed  CAS  Google Scholar 

  5. Mauri D, Pavlidis N, Ioannidis JP (2005) Neoadjuvant versus adjuvant systemic treatment in breast cancer: a meta-analysis. J Natl Cancer Inst 97:188–194

    Article  PubMed  Google Scholar 

  6. Berruti A, Brizzi MP, Generali D et al (2008) Presurgical systemic treatment of nonmetastatic breast cancer: facts and open questions. Oncologist 13:1137–1148

    Article  PubMed  Google Scholar 

  7. Prati R, Minami CA, Gornbein JA et al (2009) Accuracy of clinical evaluation of locally advanced breast cancer in patients receiving neoadjuvant chemotherapy. Cancer 115:1194–1202

    Article  PubMed  CAS  Google Scholar 

  8. Mann RM, Kuhl CK, Kinkel K, Boetes C (2008) Breast MRI: guidelines from the European Society of Breast Imaging. Eur Radiol 18:1307–1318

    Article  PubMed  CAS  Google Scholar 

  9. Tardivon AA, Ollivier L, El Khoury C, Thibault F (2006) Monitoring therapeutic efficacy in breast carcinomas. Eur Radiol 16:2549–2558

    Article  PubMed  Google Scholar 

  10. Sardanelli F, Boetes C, Borisch B et al (2010) Magnetic resonance imaging of the breast: recommendations from the EUSOMA working group. Eur J Cancer 46:1296–1316

    Article  PubMed  Google Scholar 

  11. Buchholz TA, Lehman CD, Harris JR et al (2008) Statement of the science concerning locoregional treatments after preoperative chemotherapy for breast cancer: a National Cancer Institute conference. J Clin Oncol 26:791–797

    Article  PubMed  Google Scholar 

  12. Vinnicombe SJ, MacVicar AD, Guy RL et al (1996) Primary breast cancer: mammographic changes after neoadjuvant chemotherapy, with pathologic correlation. Radiology 198:333–340

    PubMed  CAS  Google Scholar 

  13. Moskovic EC, Mansi JL, King DM et al (1993) Mammography in the assessment of response to medical treatment of large primary breast cancer. Clin Radiol 47:339–344

    Article  CAS  Google Scholar 

  14. Huber S, Wagner M, Zuna I et al (2000) Locally advanced breast carcinoma: evaluation of mammography in the prediction of residual disease after induction chemotherapy. Anticancer Res 20:553–558

    PubMed  CAS  Google Scholar 

  15. Helvie MA, Joynt LK, Cody RL et al (1996) Locally advanced breast carcinoma: accuracy of mammography vs clinical examination in the prediction of residual disease after chemotherapy. Radiology 198: 327–332

    PubMed  CAS  Google Scholar 

  16. Croshaw R, Shapiro-Wright H, Svensson E et al (2011) Accuracy of clinical examination, digital mammogram, ultrasound, and MRI in determining postneoadjuvant pathologic tumor response in operable breast cancer patients. Ann Surg Oncol 18:3160–3163. Epub Sep 27, 2011

    Article  PubMed  Google Scholar 

  17. Balu-Maestro C, Chapellier C, Bleuse A et al (2002) Imaging in evaluation of response to neoadjuvant breast cancer treatment benefits in MRI. Breast Cancer Res Treat 72:145–152

    Article  PubMed  CAS  Google Scholar 

  18. Schott ZF, Roubidoux MA, Helvie MA et al (2002) Clinical and radiological assessments to predict breast cancer pathologic complete response to neoadjuvant chemotherapy. Breast Cancer Res Treat 92:231–238

    Article  Google Scholar 

  19. Roubidoux MA, Le Carpentier GL, Fowles JB et al (2005) Sonographic evaluation of earlystage breast cancers that undergo neoadjuvant chemotherapy. J Ultrasound Med 24:885–895

    PubMed  Google Scholar 

  20. Rieber A, Brambs HJ, Gabelmann A et al (2002) Breast MRI for monitoring response of primary breast cancer to neo-adjuvant chemotherapy. Eur Radiol 7:1711–1719

    Google Scholar 

  21. Yuan Y, Chen XS, Liu SY, Shen KW (2010) Accuracy of MRI in prediction of pathologic complete remission in breast cancer after preoperative therapy: a meta-analysis. AJR 195(1):260–268

    Article  PubMed  Google Scholar 

  22. Montemurro F, Martincich L, De Rosa G et al (2005) Dynamic contrast-enhanced MRI and sonography in patients receiving primary chemotherapy for breast cancer. Eur Radiol 15:1224–1233

    Article  PubMed  Google Scholar 

  23. Thibault F, Nos C, Meunier M et al (2004) MRI for surgical planning in patients with breast cancer who undergo preoperative chemotherapy. Am J Roentgenol 183:1159–1168

    Google Scholar 

  24. Wasser K, Klein SK, Fink C et al (2003) Evaluation of neoadjuvant chemotherapeutic response of breast cancer using dynamic MRI with high temporal resolution. Eur Radiol 13:80–87

    PubMed  CAS  Google Scholar 

  25. Loo CE, Straver ME, Rodenhuis S et al (2011) Magnetic resonance imaging response monitoring of breast cancer during neoadjuvant chemotherapy: relevance of breast cancer subtype. J Clin Oncol 29:660–666

    Article  PubMed  Google Scholar 

  26. Padhani AR, Liu G, Koh DM et al (2009) Diffusion-weighted magnetic resonance imaging as a cancer biomarker: consensus and recommendations. Neoplasia 11:102–125

    PubMed  CAS  Google Scholar 

  27. Woodhams R, Kakita S, Hata H et al (2010) Identification of residual breast carcinoma following neoadjuvant chemotherapy: diffusion-weighted imaging-comparison with contrastenhanced MR imaging and pathologic findings. Radiology 254:357–366

    Article  PubMed  Google Scholar 

  28. Partridge SC, Gibbs JE, Lu Y et al (2005) MRI measurements of breast tumor volume predict response to neoadjuvant chemotherapy and recurrence-free survival. AJR Am J Roentgenol 184:1774–1781

    PubMed  Google Scholar 

  29. Martincich L, Montemurro F, De Rosa G et al (2004) Monitoring response to primary chemotherapy in breast cancer using dynamic contrast enhanced magnetic resonance imaging. Breast Cancer Res Treat 83:67–76

    Article  PubMed  Google Scholar 

  30. Cheung YC, Chen SC, Su MY et al (2003) Monitoring the size and response of locally advanced breast cancers to neoadjuvant chemotherapy (weekly paclitaxel and epirubicin) with serial enhanced MRI. Breast Cancer Res Treat 78:51–58

    Article  PubMed  CAS  Google Scholar 

  31. El Khoury C, Servois V, Thibault F et al (2005) MR quantification of the washout changes in breast tumors under preoperative chemotherapy: feasibility and preliminary results. Am J Roentgenol 184:1499–1504

    Google Scholar 

  32. Leach MO, Brindle KM, Evelhoch JL et al (2003) Assessment of antiangiogenic and antivascular therapeutics using MRI: recommendations for appropriate methodology for clinical trials. Br J Radiol 76 Spec No 1:S87–S91

    Article  PubMed  Google Scholar 

  33. Padhani AR, Hayes C, Assersohn L et al (2006) Prediction of clinicopathologic response of breast cancer to primary chemotherapy at contrast-enhanced MR imaging: initial clinical results. Radiology 239:361–374

    Article  PubMed  Google Scholar 

  34. Ah-See ML, Makris A, Taylor NJ et al (2008) Early changes in functional dynamic magnetic resonance imaging predict for pathologic response to neoadjuvant chemotherapy in primary breast cancer. Clin Cancer Res 14:6580–6589

    Article  PubMed  CAS  Google Scholar 

  35. Sardanelli F, Fausto A, Podo F (2008) MR spectroscopy of the breast. Radiol Med 113:56–64

    Article  PubMed  CAS  Google Scholar 

  36. Jagannathan NR, Kumar M, Seenu V et al (2001) Evaluation of total choline from in vivo volume localized proton MR spectroscopy and its response to neoadjuvant chemotherapy in locally advanced breast cancer. Br J Cancer 84:1016–1022

    Article  PubMed  CAS  Google Scholar 

  37. Tozaki M, Sakamoto M, Oyama Y et al (2010) Predicting pathological response to neoadjuvant chemotherapy in breast cancer with quantitative 1H MR spectroscopy using the external standard method. J Magn Reson Imaging 31:895–902

    Article  PubMed  Google Scholar 

  38. Meisamy S, Bolan PJ, Baker EH et al (2004) Neoadjuvant chemotherapy of locally advanced breast cancer: predicting response with in vivo (1) HMR spectroscopy-a pilot study at 4 T. Radiology 233:424–431

    Article  PubMed  Google Scholar 

  39. Hamstra DA, Rehemtulla A, Ross BD (2007) Diffusion magnetic resonance imaging: a biomarker for treatment response in oncology. J Clin Oncol 25:4104–4109

    Article  PubMed  Google Scholar 

  40. Park SH, Moon WK, Cho N et al (2010) Diffusion-weighted MR imaging: pretreatment prediction of response to neoadjuvant chemotherapy in patients with breast cancer. Radiology 257:56–63

    Article  PubMed  Google Scholar 

  41. Pickles MD, Gibbs P, Lowry M, Turnbull LW (2006) Diffusion changes precede size reduction in neoadjuvant treatment of breast cancer. Magn Reson Imaging 24:843–847

    Article  PubMed  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2012 Springer-Verlag Italia

About this chapter

Cite this chapter

Martincich, L., Bertotto, I., Montemurro, F. (2012). Neoadjuvant Therapy in Breast Cancer. In: Aglietta, M., Regge, D. (eds) Imaging Tumor Response to Therapy. Springer, Milano. https://doi.org/10.1007/978-88-470-2613-1_6

Download citation

  • DOI: https://doi.org/10.1007/978-88-470-2613-1_6

  • Publisher Name: Springer, Milano

  • Print ISBN: 978-88-470-2612-4

  • Online ISBN: 978-88-470-2613-1

  • eBook Packages: MedicineMedicine (R0)

Publish with us

Policies and ethics