Abstract
Background
Primary tumor characteristics, which are readily available to all clinicians, may aid in selecting the optimal adjuvant therapy for patients with breast cancer (BC). Herein, we investigated the relationship between tumor size, hormone receptor and HER2 status, Ki67 and age with axillary lymph node metastases (ALNM) in early-BC patients.
Methods
We analyzed data on consecutive 2600 early-BC cases collected in the registry of Fondazione IRCC Istituto Nazionale dei Tumori, Milano, Italy. Correlation between Ki67 and primary tumor size (T-size) was calculated by Spearman’s rank correlation coefficient. Association of ALNM with Ki67 and other tumor characteristics was investigated by logistic regression. Adjusted odds ratios (ORs) with 95% confidence intervals (95% CIs) were estimated in all cases, and separately analyzed according to age, T-size and BC subtype.
Results
Large tumor size strongly associated to ALNM, with an adjusted odds ratio (OR) for each 5-mm increase of 1.32 (95% CI 1.24–1.41), except for triple-negative BC (TNBC) cases. In tumors =10 mm, without lymphovascular invasion, representing the strongest predictor of ALNM (OR 6.09, 95% CI 4.93–7.53), Ki67 resulted particularly informative, with a fourfold increased odds of ALNM for values > 30%.
Conclusions
These results raise the question whether axillary node status is redundant in cases with exceptionally good features, i.e., small tumors with low Ki67, or in those candidate to adjuvant systemic treatment/radiotherapy anyway including TNBC, and support the incorporation of primary BC tumor characteristics as stratification factors in ongoing trials aiming at de-escalating axillary surgical procedures.
Similar content being viewed by others
References
van’t Veer LJ, Dai H, van de Vijver MJ, He YD, Hart AA, Mao M, et al. Gene expression profiling predicts clinical outcome of breast cancer. Nature. 2002;415:530–6.
Viale G., Regan M.M., Maiorano E., Mastropasqua M.G., Dell’Orto P., Brun Rasmussen B, et al, Prognostic and predictive value of centrally reviewed expression of estrogen and progesterone receptors in a randomized trial comparing letrozole and tamoxifen adjuvant therapy for postmenopausal early breast cancer: BIG 1–98. J. Clin. Oncol. 25 (2007) 3846–3852.
Purdie CA, Quinlan P, Jordan LB, Ashfiled A, Ogston S, Dewar JA, et al. Progesterone receptor expression is an independent prognostic variable in early breast cancer: a population-based study. Br. J. Cancer. 2014;110:565–72.
Bardou VJ, Arpino G, Elledge RM, Osborne CK, Clark GM. Progesterone receptor status significantly improves outcome prediction over estrogen receptor status alone for adjuvant endocrine therapy in two large breast cancer databases. J. Clin. Oncol. 2003;21:1973–9.
Cooke T, Reeves J, Lanigan A, Stanton P. HER2 as a prognostic and predictive marker for breast cancer. Ann. Oncol. 2001;12:S23–S2828.
Slamon DJ, Leyland-Jones B, Shak S, Fuchs H, Paton V, Bajamonde A, et al. Use of chemotherapy plus a monoclonal antibody against HER2 for metastatic breast cancer that overexpresses HER2. N. Engl. J. Med. 2001;344:783–92.
Denkert C, Budczies J, von Minckwitz G, Wienert S, Loibl S, Klauschen F. Strategies for developing Ki67 as a useful biomarker in breast cancer. Breast. 2015;24:S67–S72.
Pathmanathan N, Balleine RL, Jayasinghe UW, Bilinski KL, Provan PJ, Byth K, et al. The prognostic value of Ki67 in systemically untreated patients with node-negative breast cancer. J. Clin. Pathol. 2014;67:222–8.
Dowsett M, Nielsen TO, A’Hern R, Bartlett J, Coombes RC, Cuzick J, et al. Assessment of Ki67 in Breast Cancer: recommendations from the International Ki67 in Breast Cancer Working Group. J. Natl. Cancer. Inst. 2011;103:1–9.
Coates A.S., Winer E.P., Goldhirsch A., Gelber R.D., Gnant M., Piccart-Gebhart M., et al, Tailoring therapies-improving the management of early breast cancer: St Gallen International Expert Consensus on the Primary Therapy of Early Breast Cancer 2015, Ann. Oncol. 26 (2015) 1533–1546.
Baili P, Torresani M, Agresti R, Rosito G, Daidone MG, Veneroni S, et al. A breast cancer clinical registry in an Italian comprehensive cancer center: an instrument for descriptive, clinical, and experimental research. Tumori. 2015;101:440–6.
Sobin LH, Gospodarowicz MK, Wittekind CH. TNM classification of malignant tumours, 7th ed. Chichester: Wiley; 2010.
Hammond ME, Hayes DF, Dowsett M, Allred DC, Hagerty KL, Badve S, et al. American Society of Clinical Oncology/College of American Pathologists Guideline Recommendations for Immunohistochemical Testing of Estrogen and Progesterone Receptors in Breast Cancer. J. Clin. Oncol. 2010;28:2784–95.
Maisonneuve P, Disalvatore D, Rotmensz N, Curigliano G, Colleoni M, Dellapasqua S, et al. Proposed new clinicopathological surrogate definitions of luminal A and luminal B (HER2-negative) intrinsic breast cancer subtypes. Breast Cancer Res. 2014;16(3):R65. https://doi.org/10.1186/bcr3679.
Bevilacqua JL, Kattan MW, Fey JV, Cody HS 3rd, Van Borgen PI, Van, Zee KJ, Doctor, what are my chances of having a positive sentinel node? A validated nomogram for risk estimation. J. Clin. Oncol. 2007;25:3670–9.
Lakhanpal R, Sestak I, Shadbolt B, Bennett GM, Brown M, Phillips T, et al. IHC4 score plus clinical treatment score predicts locoregional recurrence in early breast cancer. Breast. 2016;29:147–52.
Selz J, Stevens D, Jouanneau L, Labib A, Le Scodan R. Prognostic value of molecular subtypes, ki67 expression and impact of postmastectomy radiation therapy in breast cancer patients with negative lymph nodes after mastectomy. Int J Radiat Oncol Biol Phys. 2012;84:1123–32.
Thangarajah F, Malter W, Hamacher S, Schmidt M, Krämer S, Mallmann P, et al. Predictors of sentinel lymph node metastases in breast cancer-radioactivity and Ki-67. The Breast. 2016;30:87–91.
Anders CK, Johnson R, Litton J, Phillips M, Bleyer A. Breast cancer before age 40 years. Semin. Oncol. 2009;36:237–49.
Liu N, Yang Z, Liu X, Niu Y. Lymph node status in different molecular subtype of breast cancer: triple negative tumors are more likely lymph node negative. Oncotarget. 2017;33:55534–43.
Guo LW, Jiang LM, Gong Y, Zhang HH, Li XG, He M, et al. Development and validation of nomograms for predicting overall and breast cancer specific survival among patients with triple negative breast cancer. Cancer Manag Res. 2018;10:5881–944.
van Roozendaal LM, Smit LHM, Duijsens GHNM, de Vries B, Siesling S, Lobbes MBI. wt al, Risk of regional recurrence in triple-negative breast cancer patients: a Dutch cohort study. Breast Cancer Res. Treat. 2016;156:465–72.
Available at: https://clinicaltrials.gov/ct2/show/NCT02167490. Accessed 25 July 2019.
Acknowledgements
The Breast Cancer Registry of Fondazione IRCCS Istituto Nazionale Tumori, Milano is subsidized by institutional funds (INT 5 × 1000 funds).
Author information
Authors and Affiliations
Corresponding author
Ethics declarations
Conflict of interest
The authors declare that they have no competing interests.
Ethical approval
The present study has been reviewed and approved by the Internal Review Board of National Cancer Institute, Milan, Italy. All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki Declaration and its later amendments or comparable ethical standards.
Informed consent
Informed consent was obtained from all individual participants included in the study.
Additional information
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Rights and permissions
About this article
Cite this article
De Santis, M.C., La Rocca, E., Meneghini, E. et al. Axillary nodal involvement by primary tumor features in early breast cancer: an analysis of 2600 patients. Clin Transl Oncol 22, 786–792 (2020). https://doi.org/10.1007/s12094-019-02188-7
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s12094-019-02188-7