Preoperative systemic therapy in locoregional management of early breast cancer: highlights from the Kyoto Breast Cancer Consensus Conference
- 575 Downloads
- 3 Citations
Abstract
Data reviewed at the Kyoto Breast Cancer Consensus Conference (KBCCC) showed that preoperative systemic therapy (PST) could optimize surgery through the utilization of information relating to pre- and post-PST tumor stage, therapeutic sensitivity, and treatment-induced changes in the biological characteristics of the tumor. As such, it was noted that the biological characteristics of the tumor, such as hormone receptors, human epidermal growth factor receptor-2, histological grade, cell proliferative activity, mainly defined by the Ki67 labeling index, and the tumor’s multi-gene signature, should be considered in the planning of both systemic and local therapy. Furthermore, the timing of axillary sentinel lymph node diagnosis (i.e., before or after the PST) was also noted to be critical in that it may influence the likelihood of axillary preservation, even in node positive cases. In addition, axillary diagnosis with ultrasound and concomitant fine needle aspiration cytology or core needle biopsy (CNB) was reported to contribute to the construction of a treatment algorithm for patient-specific or individualized axillary surgery. Following PST, planning for breast surgery should therefore be based on tumor subtype, tumor volume and extent, therapeutic response to PST, and patient preference. Nomograms for predicting nodal status and drug sensitivity were also recognized as a tool to support decision-making in the selection of surgical treatment. Overall, review of data at the KBCCC showed that PST increases the likelihood of patients receiving localized surgery and individualized treatment regimens.
Keywords
Breast cancer Preoperative systemic therapy Sentinel lymph node Breast-conserving therapyNotes
Acknowledgments
We would like to express our sincere gratitude to Professor Masahiro Hiraoka, Dr. Michihide Mitsumori, Dr. Hiroshi Ishiguro, Dr. Takayuki Ueno, Ms. Aya Morotomi, Ms. Mihoko Yamamoto, Ms. Chisa Takano, and Mr. David Graham for their assistance with the preparation of this manuscript. We would also like to thank the Commemorative Organization for the Japan World Exposition (1970). The conference was part of a program, “Raising Proficient Oncologists,” organized by the Japanese Ministry of Education, Culture, Sports, Science, and Technology. Finally, we would like to acknowledge the kind support of the Japan Breast Cancer Society.
Conflict of interest
None.
References
- 1.Rastogi P, Anderson SJ, Bear HD et al (2008) Preoperative chemotherapy: updates of National Surgical Adjuvant Breast and Bowel Project ProtocolsB-18 and B-27. J Clin Oncol 26:778–785PubMedCrossRefGoogle Scholar
- 2.Toi M, Winer EP, Inamoto T et al (2011) Identifying gaps in the locoregional management of early breast cancer: highlights from the Kyoto Consensus Conference. Ann Surg Oncol 10:2885–2892CrossRefGoogle Scholar
- 3.Carey L, Winer E, Viale G et al (2010) Triple-negative breast cancer: disease entity or title of convenience? Nat Rev Clin Oncol 7:683–692PubMedCrossRefGoogle Scholar
- 4.Bedard PL, Di Leo A, Piccart-Gebhart MJ (2010) Taxanes: optimizing adjuvant chemotherapy for early-stage breast cancer. Nat Rev Clin Oncol 7:22–36PubMedCrossRefGoogle Scholar
- 5.Hatzis C, Pusztai L, Valero V et al (2011) A genomic predictor of response and survival following taxane-anthracycline chemotherapy for invasive breast cancer. JAMA 305:1873–1881PubMedCrossRefGoogle Scholar
- 6.de Ronde JJ, Hannemann J, Halfwerk H et al (2010) Concordance of clinical and molecular breast cancer subtyping in the context of preoperative chemotherapy response. Breast Cancer Res Treat 119:119–126PubMedCrossRefGoogle Scholar
- 7.von Minckwitz G, Untch M, Blohmer JU et al (2012) Definition and impact of pathologic complete response on prognosis after neoadjuvant chemotherapy in various intrinsic breast cancer subtypes. J Clin Oncol 30:1796–1804CrossRefGoogle Scholar
- 8.Houssami N, Macaskill P, von Minckwitz G et al (2012). Meta-analysis of the association of breast cancer subtype and pathologic complete response to neoadjuvant chemotherapy. Eur J Cancer [Epub ahead of print]Google Scholar
- 9.Gianni L, Eiermann W, Semiglazov V et al (2010) Neoadjuvant chemotherapy with trastuzumab followed by adjuvant trastuzumab versus neoadjuvant chemotherapy alone, in patients with HER2-positive locally advanced breast cancer (the NOAH trial): a randomised controlled superiority trial with a parallel HER2-negative cohort. Lancet 375:377–384PubMedCrossRefGoogle Scholar
- 10.Baselga J, Bradbury I, Eidtmann H et al (2012) Lapatinib with trastuzumab for HER2-positive early breast cancer (NeoALTTO): a randomised, open-label, multicentre, phase 3 trial. Lancet 379:633–640PubMedCrossRefGoogle Scholar
- 11.Hennessy BT, Hortobagyi GN, Rouzier R et al (2005) Outcome after pathologic complete eradication of cytologically proven breast cancer axillary node metastases following primary chemotherapy. J Clin Oncol 23:9304–9311PubMedCrossRefGoogle Scholar
- 12.Kim C, Paik S (2010) Gene-expression-based prognostic assays for breast cancer. Nat Rev Clin Oncol 6:340–347CrossRefGoogle Scholar
- 13.Toi M, Saji S, Masuda N et al (2011) Ki67 index changes, pathological response and clinical benefits in primary breast cancer patients treated with 24 weeks of aromatase inhibition. Cancer Sci 102:858–865PubMedCrossRefGoogle Scholar
- 14.Houssami N, Macaskill P, Balleine RL et al (2011) HER2 discordance between primary breast cancer and its paired metastasis: tumor biology or test artefact? Insights through meta-analysis. Breast Cancer Res Treat 129:659–674PubMedCrossRefGoogle Scholar
- 15.van de Ven S, Smit VT, Dekker TJ et al (2010) Discordances in ER, PR and HER2 receptors after neoadjuvant chemotherapy in breast cancer. Cancer Treat Rev 37:422–430PubMedGoogle Scholar
- 16.Perou CM (2010) Molecular stratification of triple-negative breast cancers. Oncologist 15(Suppl 5):39–48PubMedCrossRefGoogle Scholar
- 17.Rakha EA, El-Sayed ME, Green AR et al (2007) Breast carcinoma with basal differentiation: a proposal for pathology definition based on basal cytokeratin expression. Histopathology 50:434–438PubMedCrossRefGoogle Scholar
- 18.Stefansson OA, Jonasson JG, Johannsson OT et al (2009) Genomic profiling of breast tumors in relation to BRCA abnormalities and phenotypes. Breast Cancer Res 11:R47PubMedCrossRefGoogle Scholar
- 19.Hennessy BT, Gonzalez-Angulo AM, Stemke-Hale K et al (2009) Characterization of a naturally occurring breast cancer subset enriched in epithelial-to-mesenchymal transition and stem cell characteristics. Cancer Res 69:4116–4124PubMedCrossRefGoogle Scholar
- 20.Tardivon AA, Ollivier L, El Khoury C et al (2006) Monitoring therapeutic efficacy in breast carcinomas. Eur Radiol 16:2549–2558PubMedCrossRefGoogle Scholar
- 21.Le-Petross HC, Hylton N (2010) Role of breast MR imaging in neoadjuvant chemotherapy. Magn Reson Imaging Clin N Am 18:249–258PubMedCrossRefGoogle Scholar
- 22.Avril N, Sassen S, Roylance R (2009) Response to therapy in breast cancer. J Nucl Med 50(Suppl 1):55S–63SPubMedCrossRefGoogle Scholar
- 23.Chung A, Giuliano (2010) Axillary staging in the neoadjuvant setting. Ann Surg Oncol 17:2401–2410PubMedCrossRefGoogle Scholar
- 24.Zambetti M, Mansutti M, Gomez P et al (2012) Pathological complete response rates following different neoadjuvant chemotherapy regimens for operable breast cancer according to ER status, in two parallel, randomized phase II trials with an adaptive study design (ECTO II). Breast Cancer Res Treat 132:843–851PubMedCrossRefGoogle Scholar
- 25.Groheux D, Hindié E, Giacchetti S et al (2012) Triple-negative breast cancer: early assessment with 18F-FDG PET/CT during neoadjuvant chemotherapy identifies patients who are unlikely to achieve a pathologic complete response and are at a high risk of early relapse. J Nucl Med 53:249–254PubMedCrossRefGoogle Scholar
- 26.Kolesnikov-Gauthier H, Vanlemmens L, Baranzelli MC et al (2012) Predictive value of neoadjuvant chemotherapy failure in breast cancer using FDG-PET after the first course. Breast Cancer Res Treat 131:517–525PubMedCrossRefGoogle Scholar
- 27.Tsunoda-Shimizu H, Hayashi N, Hamaoka T et al (2008) Determining the morphological features of breast cancer and predicting the effects of neoadjuvant chemotherapy via diagnostic breast imaging. Breast Cancer 15:133–140PubMedCrossRefGoogle Scholar
- 28.Tozaki M, Kobayashi T, Uno S et al (2006) BCS after chemotherapy: value of MDCT for determining tumor distribution and shrinkage pattern. AJR Am J Roentgenol 186:431–439PubMedCrossRefGoogle Scholar
- 29.Kim HJ, Im YH, Han BK et al (2007) Accuracy of MRI for estimating residual tumor size after neoadjuvant chemotherapy in locally advanced breast cancer: relation to response patterns on MRI. Acta Oncol 46:996–1003PubMedCrossRefGoogle Scholar
- 30.Rajan R, Esteva FJ, Symmans WF (2004) Pathologic changes in breast cancer following neoadjuvant chemotherapy: implications for the assessment of response. Clin Breast Cancer 5:235–238PubMedCrossRefGoogle Scholar
- 31.Gralow JR, Burstein HJ, Wood W et al (2008) Preoperative therapy in invasive breast cancer: pathologic assessment and systemic therapy issues in operable disease. J Clin Oncol 26:814–819PubMedCrossRefGoogle Scholar
- 32.Baselga J, Semiglazov V, van Dam P et al (2009) Phase II randomized study of neoadjuvant everolimus plus letrozole compared with placebo plus letrozole in patients with estrogen receptor-positive breast cancer. J Clin Oncol 27:2630–2637PubMedCrossRefGoogle Scholar
- 33.Dowsett M, Nielsen TO, A’Hern R et al (2011) International Ki-67 in Breast Cancer Working Group. Assessment of Ki67 in breast cancer: recommendations from the International Ki67 in Breast Cancer working group. J Natl Cancer Inst 103:1656–1664PubMedCrossRefGoogle Scholar
- 34.Yerushalmi R, Woods R, Ravdin PM et al (2010) Ki67 in breast cancer: prognostic and predictive potential. Lancet Oncol 11:174–183PubMedCrossRefGoogle Scholar
- 35.Von Minckwitz G, Kaufmann M, Kuemmel S et al (2011) Correlation of various pathologic complete response (pCR) definitions with long-term outcome and the prognostic value of pCR in various breast cancer subtypes: results from the German neoadjuvant meta-analysis. J Clin Oncol 29(suppl):abstr 1028Google Scholar
- 36.Goldhirsch A, Wood WC, Coates AS et al (2011) Strategies for subtypes—dealing with the diversity of breast cancer: highlights of the St Gallen International Expert Consensus on the Primary Therapy of Early Breast Cancer 2011. Ann Oncol 22:1736–1747PubMedCrossRefGoogle Scholar
- 37.Gianni L, Zambetti M, Clark K et al (2005) Gene expression profiles in paraffin-embedded core biopsy tissue predict response to chemotherapy in women with locally advanced breast cancer. J Clin Oncol 23:7265–7277PubMedCrossRefGoogle Scholar
- 38.Kyndi M, Sørensen FB, Knudsen H, Overgaard J et al (2008) Estrogen receptor, progesterone receptor, HER-2, and response to postmastectomy radiotherapy in high-risk breast cancer: the Danish Breast Cancer Cooperative Group. J Clin Oncol 26:1416–1426CrossRefGoogle Scholar
- 39.Yi M, Meric-Bernstam F, Ross MI et al (2008) How many sentinel lymph nodes are enough during sentinel lymph node dissection for breast cancer? Cancer 113:30–37PubMedCrossRefGoogle Scholar
- 40.Zakaria S, Degnim AC, Kleer CG et al (2007) Sentinel lymph node biopsy for breast cancer: how many nodes are enough? J Surg Oncol 96:554–559PubMedCrossRefGoogle Scholar
- 41.Stell VH, Flippo-Morton TS, James et al (2011) Sentinel lymph node biopsy after neo-adjuvant chemotherapy in breast cancer. Breast J 17:71–74PubMedCrossRefGoogle Scholar
- 42.Giuliano AE, Hunt KK, Ballman KV et al (2011) Axillary dissection vs no axillary dissection in women with invasive breast cancer and sentinel node metastasis: a randomized clinical trial. JAMA 305:569–575PubMedCrossRefGoogle Scholar
- 43.Rouzier R, Pusztai L, Delaloge S et al (2005) Nomograms to predict pathologic complete response and metastasis-free survival after preoperative chemotherapy for breast cancer. J Clin Oncol 23:8331–8339PubMedCrossRefGoogle Scholar