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Planning Adjuvant Treatment

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Breast Cancer Essentials

Abstract

The treatment of early breast cancer has evolved over the previous years. Currently breast cancer is considered a systemic disease. Regarding the adjuvant treatment, one has to balance between the risk of recurrence and the potential toxicities for a given patient.

The most robust tool to estimate the probabilities of relapse has been the TNM staging system. Despite the evolving role of tumor biology, tumor stage as defined by size and lymph nodes involvement has retained its prognostic value.

Over the years, the knowledge of the biology of the disease has changed the way we approach the patients. Molecular signatures become useful tools and help physicians to take the right decision regarding the appropriate treatment. However, despite the numbers of involved genes, there is an uncertainty in the medical community regarding the optimal use.

Another important issue is the optimal time interval to give chemotherapy. The problem for the patients with early breast cancer in our days is that they are assigned to different prognostic groups with different prognosis and different abilities to afford the treatment toxicities.

The decision to plan adjuvant treatment for patients with early breast cancer is one of the most significant in medical oncology. It is mandatory such a decision to be established on able knowledge of the disease and clinical experience, but nevertheless it is absolutely necessary the adherence to updated guidelines of high quality.

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References

  1. Perou CM, Sørlie T, Eisen MB, van de Rijn M, Jeffrey SS, Rees CA, Pollack JR, Ross DT, Johnsen H, Akslen LA, Fluge O, Pergamenschikov A, Williams C, Zhu SX, Lønning PE, Børresen-Dale AL, Brown PO, Botstein D. Molecular portraits of human breast tumours. Nature. 2000;406:747–52.

    Article  CAS  Google Scholar 

  2. Sørlie T, Perou CM, Tibshirani R, Aas T, et al. Gene expression patterns of breast carcinomas distinguish tumor subclasses with clinical implications. Proc Natl Acad Sci U S A. 2001;98:10869–74.

    Article  Google Scholar 

  3. van’t Veer LJ, Dai H, van de Vijver MJ, He YD, et al. Gene expression profiling predicts clinical outcome of breast cancer. Nature. 2002;415:530–6.

    Article  Google Scholar 

  4. Halstead’s presentation before American Surgical Association, May 8, 1907.

    Google Scholar 

  5. Fisher B, Anderson S, Bryant J, et al. Twenty-year follow-up of a randomized trial comparing total mastectomy, lumpectomy, and lumpectomy plus irradiation for the treatment of invasive breast cancer. N Engl J Med. 2002;347(16):1233–41.

    Article  Google Scholar 

  6. De Boer M, van Deurzen CHM, van Dijck JAAM, Borm GF, van Diest PJ, Adang EMM, et al. Micrometastases or isolated tumor cells and the outcome of breast cancer. N Engl J Med. 2009;361(7):653–63.

    Article  Google Scholar 

  7. Chavez-MacGregor M, Clarke CA, Lichtensztajn DY, Giordano SH. Delayed initiation of adjuvant chemotherapy among patients with breast cancer. JAMA Oncol. 2016;2:322–9.

    Article  Google Scholar 

  8. Downing A, Twelves C, Forman D, Lawrence G, Gilthorpe MS. Time to begin adjuvant chemotherapy and survival in breast cancer patients: a retrospective observational study using latent class analysis. Breast J. 2014;20:29–36.

    Article  Google Scholar 

  9. Early Breast Cancer Trialists’ Collaborative Group (EBCTCG). Comparisons between different polychemotherapy regimens for early breast cancer: meta-analyses of long-term outcome among 100 000 women in 123 randomized trials. Lancet. 2012;379:432–44.

    Article  Google Scholar 

  10. Adjuvant therapy for breast cancer. NIH Consens Statement. 2000;17(4):1–35.

    Google Scholar 

  11. Kwa M, Makris A, Esteva FJ. Clinical utility of gene-expression signatures in early stage breast cancer. Nat Rev Clin Oncol. 2017;14:595–610.

    Article  CAS  Google Scholar 

  12. Prat A, Ellis MJ, Perou CM. Practical implications of gene-expression-based assays for breast oncologists. Nat Rev Clin Oncol. 2012;9:48–57.

    Article  CAS  Google Scholar 

  13. Kim C, Paik S. Gene-expression-based prognostic assays for breast cancer. Nat Rev Clin Oncol. 2010;7:340–7.

    Article  CAS  Google Scholar 

  14. Sparano JA, Paik S. Development of the 21-gene assay and its application in clinical practice and clinical trials. J Clin Oncol. 2008;26:721–8.

    Article  Google Scholar 

  15. Goldstein LJ, Gray R, Badve S, Childs BH, Yoshizawa C, Rowley S, Shak S, Baehner FL, Ravdin PM, Davidson NE, Sledge GW, Perez EA, Shulman LN, Martino S, Sparano JA. Prognostic utility of the 21-gene assay in hormone receptor-positive operable breast cancer compared with classical clinicopathologic features. J Clin Oncol. 2008;26:4063–71.

    Article  Google Scholar 

  16. Albain KS, Barlow WE, Shak S, Hortobagyi GN, et al. Prognostic and predictive value of the 21-gene recurrence score assay in postmenopausal women with node-positive, estrogen-receptor-positive breast cancer on chemotherapy: a retrospective analysis of a randomized trial. Lancet Oncol. 2010;11:55–65.

    Article  CAS  Google Scholar 

  17. Sparano JA, Gray RJ, Makower DF, Pritchard KI, Albain KS, Hayes DF, et al. Adjuvant chemotherapy guided by a 21-gene expression assay in breast cancer. N Engl J Med. 2018;379(2):111–21.

    Article  CAS  Google Scholar 

  18. Poggio F, et al. Concurrent versus sequential adjuvant chemo-endocrine therapy in hormone-receptor positive early stage breast cancer patients: a systematic review and meta-analysis. Breast. 2017;33:104–8.

    Article  CAS  Google Scholar 

  19. Fan C, Oh DS, Wessels L, Weigelt B, Nuyten DS, Nobel AB, van’t Veer LJ, Perou CM. Concordance among gene-expression-based predictors for breast cancer. N Engl J Med. 2006;355:560–9.

    Article  CAS  Google Scholar 

  20. Van de Vijer MJ, He YD, van’t Veer LJ, Dai H, Hart AA, et al. A gene-expression signature as a predictor of survival in breast cancer. N Engl J Med. 2002;347:1999–2009.

    Article  Google Scholar 

  21. Fumagalli D, Andre F, Piccart-Gebhart MJ, Sotiriou C, Desmedt C. Molecular biology in breast cancer: should molecular classifiers be assessed by conventional tools or by gene expression arrays? Crit Rev Oncol Hematol. 2012;84(Suppl 1):e58–69.

    Article  Google Scholar 

  22. Albain KS, Carey L, Gradishar WJ, Gralow JR, Lipton A, et al. Proceedings of the First Global Workshop on Breast Cancer: pathways to the evaluation and clinical development of novel agents for breast cancer. Clin Breast Cancer. 2010;10:421–39.

    Article  Google Scholar 

  23. Ma XJ, Salunga R, Dahiya S, Wang W, Carney E, Durbecq V, Harris A, Goss P, Sotiriou C, Erlander M, Sgroi D. A five-gene molecular grade index and HOXB13: IL17BR are complementary prognostic factors in early stage breast cancer. Clin Cancer Res. 2008;14:2601–8.

    Article  CAS  Google Scholar 

  24. Jerevall PL, Ma XJ, Li H, Salunga R, Kesty NC, Erlander MG, Sgroi DC, Holmlund B, Skoog L, Fornander T, Nordenskjöld B, Stål O. Prognostic utility of HOXB13: IL17BR and molecular grade index in early-stage breast cancer patients from the Stockholm trial. Br J Cancer. 2011;104:1762–9.

    Article  CAS  Google Scholar 

  25. Wesolowski R, Ramaswamy B. Gene expression profiling: changing face of breast cancer classification and management. Gene Expr. 2011;15:105–15.

    Article  Google Scholar 

  26. Parker JS, Mullins M, Cheang MC, Leung S, Voduc D, et al. Supervised risk predictor of breast cancer based on intrinsic subtypes. J Clin Oncol. 2009;27:1160–7.

    Article  Google Scholar 

  27. Guiu S, Michiels S, André F, Cortes J, Denkert C, Di Leo A, et al. Molecular subclasses of breast cancer: how do we define them? The IMPAKT 2012 Working Group Statement. Ann Oncol. 2012;23:2997–3006.

    Article  CAS  Google Scholar 

  28. Perez EA, Romond EH, Suman VJ, et al. Trastuzumab plus adjuvant chemotherapy for human epidermal growth factor receptor 2-positive breast cancer: planned joint analysis of overall survival from NSABP B-31 and NCCTG N9831. J Clin Oncol. 2014;32:3744–52.

    Article  CAS  Google Scholar 

  29. Cameron D, et al. 11 years’ follow-up of trastuzumab after adjuvant chemotherapy in HER2-positive early breast cancer: final analysis of the HERceptin Adjuvant (HERA) trial. Lancet. 2017;389:1195–205.

    Article  CAS  Google Scholar 

  30. Perez EA, Suman VJ, Davidson NE, et al. Sequential versus concurrent trastuzumab in adjuvant chemotherapy for breast cancer. J Clin Oncol. 2011;29:4491–7.

    Article  CAS  Google Scholar 

  31. Tolaney SM, Barry WT, Dang CT, et al. Adjuvant paclitaxel and trastuzumab for node-negative, HER2-positive breast cancer. N Engl J Med. 2015;372:134–41.

    Article  Google Scholar 

  32. von Minckwitz G, et al. Adjuvant pertuzumab and trastuzumab in early HER2-positive breast cancer. N Engl J Med. 2017;377:122–31.

    Article  Google Scholar 

  33. Schneeweiss A, Chia S, Hickish T, et al. Pertuzumab plus trastuzumab in combination with standard neoadjuvant anthracycline-containing and anthracycline-free chemotherapy regimens in patients with HER2-positive early breast cancer: a randomized phase II cardiac safety study (TRYPHAENA). Ann Oncol. 2013;24:2278e84.

    Article  Google Scholar 

  34. von Minckwitz G, Huang C-S, Mano MS, et al. Trastuzumab emtansine for residual invasive HER2-positive breast cancer. N Engl J Med. 2019;380(7):617–28.

    Article  Google Scholar 

  35. Chan A, et al. Neratinib after trastuzumab-based adjuvant therapy in patients with HER2-positive breast cancer (ExteNET): a multicentre, randomised, double-blind, placebo-controlled, phase 3 trial. Lancet Oncol. 2016;17:367–77.

    Article  CAS  Google Scholar 

  36. Saraiva DP, Guadalupe Cabral M, Jacinto A, Braga S. How many diseases is triple negative breast cancer: the protagonism of the immune microenvironment. ESMO Open. 2017;2(4):e000208.

    Article  Google Scholar 

  37. Isakoff SJ, et al. TBCRC009: a multicenter phase II clinical trial of platinum monotherapy with biomarker assessment in metastatic triple-negative breast cancer. J Clin Oncol. 2015;33:1902–9.

    Article  CAS  Google Scholar 

  38. Tutt A, Ellis P, Kilburn L, et al. The TNT trial: a randomized phase III trial of carboplatin (C) compared with docetaxel (D) for patients with metastatic or recurrent locally advanced triple negative or BRCA1/2 breast cancer (CRUK/07/012). In: Thirty-Seventh Annual CRTC-AACR San Antonio Breast Cancer Symposium; Antonio, TX; 9–13 Dec 2014; S3–01.

    Google Scholar 

  39. von Minckwitz G, Loibl S, Schneeweiss A, et al. Early survival analysis of the randomized phase II trial investigating the addition of carboplatin to neoadjuvant therapy for triple-negative and HER2-positive early breast cancer (GeparSixto). In: Thirty-Eighth Annual CTRC-AACR San Antonio Breast Cancer Symposium; San Antonio, TX; 8–12 Dec 2015; S2–04.

    Google Scholar 

  40. Sikov WM, Berry DA, Perou CM, et al. Event-free and overall survival following neoadjuvant weekly paclitaxel and dose-dense AC +/- carboplatin and/or bevacizumab in triple-negative breast cancer: outcomes from CALGB 40603 (Alliance). In: Thirty-Eighth Annual CTRC-AACR San Antonio Breast Cancer Symposium; San Antonio, TX; 8–12 Dec 2015; S2–05.

    Google Scholar 

  41. Masuda N, et al. Adjuvant capecitabine for breast cancer after preoperative chemotherapy. N Engl J Med. 2017;376:2147–59.

    Article  CAS  Google Scholar 

  42. Muss HB, Berry DA, Cirrincione CT, Theodoulou M, Mauer AM, Kornblith AB, et al. Adjuvant chemotherapy in older women with early-stage breast cancer. N Engl J Med. 2009;360(20):2055–65.

    Article  CAS  Google Scholar 

  43. Azim HA, de Azambuja E, Colozza M, Bines J, Piccart MJ. Long-term toxic effects of adjuvant chemotherapy in breast cancer. Ann Oncol. 2011;22(9):1939–47.

    Article  Google Scholar 

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Barmpounis, V., Kesisis, G. (2021). Planning Adjuvant Treatment. In: Rezai, M., Kocdor, M.A., Canturk, N.Z. (eds) Breast Cancer Essentials. Springer, Cham. https://doi.org/10.1007/978-3-030-73147-2_50

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  • DOI: https://doi.org/10.1007/978-3-030-73147-2_50

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