Log in

The role of different lymph node staging systems in predicting prognosis and determining indications for postmastectomy radiotherapy in patients with T1-T2pN1 breast carcinoma

  • Original Article
  • Published:
Strahlentherapie und Onkologie Aims and scope Submit manuscript

Abstract

Purpose

Based on the risk of locoregional recurrence (LRR), postmastectomy radiotherapy (PMRT) is recommended in T1-T2pN1 breast carcinoma (BC). We aimed to elucidate our institutional strategies underlying selection of these patients for PMRT. In the no-PMRT subset, we compared various lymph node (LN) staging systems’ abilities to predict 5‑year overall and locoregional-free survival (OS/LRFS).

Methods

We retrospectively enrolled 548 women with T1-T2pN1 BC undergoing mastectomy and axillary LN dissection. Depending on PMRT delivery, the participants were divided into the PMRT and no-PMRT groups. Predictors of OS/LRFS were calculated for the no-PMRT group only. Based on Cox regression modelling, the number of positive LNs (PLN), negative LNs (NLN), LN ratio (LNR), log odds of PLN (LODDS), and modified LNR (mLNR) were modelled, each respectively, with OS model covariates (age, grade III, lymphovascular invasion [LVI], tumor size, hormone receptor [HR] status) and LRFS model covariates (age, grade III, LVI). The C‑statistic, Akaike information criterion, and likelihood ratio χ2 of the models were compared.

Results

Median follow-up was 60.5 (18–82), 61 (28–82), and 60 (18–80) months for the entire cohort, PMRT, and no-PMRT group, respectively. The PMRT and no-PMRT groups had comparable OS (p = 0.235). LRFS was better (p = 0.030) in the PMRT group comprising 105 subjects (19.16%) who were younger, more likely to have a higher-grade, HR−, HER2+ tumors, more PLNs, fewer NLNs, Ki-67 ≥ 20%, LVI, and extranodal extension (p 0.001). In the no-PMRT group, LNR-based OS/LRFS models exhibited superior prognostic performance.

Conclusion

In early-stage BC patients undergoing mastectomies, LN dissections and no PMRT, we propose LNR-based multivariable models to predict OS/LRFS with superior accuracy.

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

Access this article

Subscribe and save

Springer+ Basic
EUR 32.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or Ebook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Price includes VAT (France)

Instant access to the full article PDF.

Fig. 1
Fig. 2

Similar content being viewed by others

References

  1. Wöckel A, Wolters R, Wiegel T, Novopashenny I, Janni I, Kreienberg R, Wischnewsky M, Schwentner L, BRENDA study group (2014) The impact of adjuvant radiotherapy on the survival of primary breast cancer patients: a retrospective multicenter cohort study of 8935 subjects. Ann Oncol 25(3):628–632. https://doi.org/10.1093/annonc/mdt584

    Article  PubMed  PubMed Central  Google Scholar 

  2. Senkus E, Kyriakides S, Ohno S, Penault-Llorca F, Poortmans P, Rutgers E, Zackrisson S, Cardoso F (2015) Primary breast cancer: ESMO Clinical Practice Guidelines for diagnosis, treatment and follow-up. Ann Oncol 26(5):v8–v30. https://doi.org/10.1093/annonc/mdv298

    Article  PubMed  Google Scholar 

  3. Kim T, Giuliano AE, Lyman GH (2006) Lymphatic map** and sentinel lymph node biopsy in early-stage breast carcinoma: a metaanalysis. Cancer 106(1):4–16. https://doi.org/10.1002/cncr.21568

    Article  PubMed  Google Scholar 

  4. de Meric de Bellefon M, Lemanski C, Ducteil A, Fenoglietto P, Azria D, Bourgier C (2018) Management of the Axilla in the era of breast cancer heterogeneity. Front Oncol 8:84. https://doi.org/10.3389/fonc.2018.00084

    Article  PubMed  PubMed Central  Google Scholar 

  5. Tendulkar RD, Rehman S, Shukla ME, Reddy CA, Moore H, Budd GT, Dietz J, Crowe JP, Macklis R (2012) Impact of postmastectomy radiation on locoregional recurrence in breast cancer patients with 1–3 positive lymph nodes treated with modern systemic therapy. Int J Radiat Oncol Biol Phys 83(5):e577–e581. https://doi.org/10.1016/j.ijrobp.2012.01.076

    Article  PubMed  Google Scholar 

  6. Ebner F, Wöckel A, Schwentner L, Blettner M, Janni W, Kreienberg R, Wischnewshy M (2019) Does the number of removed axillary lymphnodes in high risk breast cancer patients influence the survival? Bmc Cancer 19(1):90. https://doi.org/10.1186/s12885-019-5292-2

    Article  PubMed  PubMed Central  Google Scholar 

  7. Wu SG, Wang Y, Zhou J, Sun JY, Li FY, Lin HX, He ZY (2015) Number of negative lymph nodes should be considered for incorporation into staging for breast cancer. Am J Cancer Res 5(2):844–853

    CAS  PubMed  PubMed Central  Google Scholar 

  8. Kim SI, Cho SH, Lee JS, Moon HG, Noh WC, Youn HJ, Ko BK, Park BW (2013) Clinical relevance of lymph node ratio in breast cancer patients with one to three positive lymph nodes. Br J Cancer 109(5):1165–1171. https://doi.org/10.1038/bjc.2013.465

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  9. Chen LJ, Chung KP, Chang YJ, Chang YJ (2015) Ratio and log odds of positive lymph nodes in breast cancer patients with mastectomy. Surg Oncol 24(3):239–247. https://doi.org/10.1016/j.suronc.2015.05.001

    Article  PubMed  Google Scholar 

  10. Wen J, Ye F, He X, Li S, Huang X, **ao X, **e X (2016) Development and validation of a prognostic nomogram based on the log odds of positive lymph nodes (LODDS) for breast cancer. Oncotarget 7(15):21046–21053. https://doi.org/10.18632/oncotarget.8091

    Article  PubMed  PubMed Central  Google Scholar 

  11. Tausch C, Taucher S, Dubsky P, Seifert M, Reitsamer R, Kwasny W, Jakesz R, Fitzal F, Filipcic L, Fridrik M, Greil R, Gnant M (2012) Prognostic value of number of removed lymph nodes, number of involved lymph nodes, and lymph node ratio in 7502 breast cancer patients enrolled onto trials of the Austrian Breast and Colorectal Cancer Study Group (ABCSG). Ann Surg Oncol 19(6):1808–1817. https://doi.org/10.1245/s10434-011-2189-y

    Article  PubMed  Google Scholar 

  12. Moo TA, McMillan R, Lee M, Stempel M, Patil S, Ho A, El-Tamer M (2013) Selection criteria for postmastectomy radiotherapy in t1-t2 tumors with 1 to 3 positive lymph nodes. Ann Surg Oncol 20(10):3169–3174. https://doi.org/10.1245/s10434-013-3117-0

    Article  PubMed  Google Scholar 

  13. Overgaard M, Hansen PS, Overgaard J, Rose C, Andersson M, Bach F, Kjaer M, Gadeberg CC, Mouridsen HT, Jensen MB, Zedeler K (1997) Postoperative radiotherapy in high-risk premenopausal women with breast cancer who receive adjuvant chemotherapy. Danish Breast Cancer Cooperative Group 82b Trial. N Engl J Med 337(14):949–955. https://doi.org/10.1056/NEJM199710023371401

    Article  CAS  PubMed  Google Scholar 

  14. Overgaard M, Jensen MB, Overgaard J, Hansen PS, Rose C, Andersson M, Kamby C, Kjaer M, Gadeberg CC, Rasmussen BB, Blichert-Toft M, Mouridsen HT (1999) Postoperative radiotherapy in high-risk postmenopausal breast-cancer patients given adjuvant tamoxifen: Danish Breast Cancer Cooperative Group DBCG 82c randomised trial. Lancet 353(9165):1641–1648. https://doi.org/10.1016/S0140-6736(98)09201-0

    Article  CAS  PubMed  Google Scholar 

  15. Ragaz J, Jackson SM, Le N, Plenderleith IH, Spinelli JJ, Basco VE, Wilson KS, Knowling MA, Coppin CM, Paradis M, Coldman AJ, Olivotto IA (1997) Adjuvant radiotherapy and chemotherapy in node-positive premenopausal women with breast cancer. N Engl J Med 337(14):956–962. https://doi.org/10.1056/nejm199710023371402

    Article  CAS  PubMed  Google Scholar 

  16. Recht A, Comen EA, Fine RE, Fleming GF, Hardenbergh PH, Ho AY, Hudis CA, Hwang ES, Kirshner JJ, Morrow M, Salerno KE, Sledge GW Jr, Solin LJ, Spears PA, Whelan TJ, Somerfield MR, Edge SB (2017) Postmastectomy Radiotherapy: An American Society of Clinical Oncology, American Society for Radiation Oncology, and Society of Surgical Oncology Focused Guideline Update. Ann Surg Oncol 24(1):38–51. https://doi.org/10.1245/s10434-016-5558-8

    Article  PubMed  Google Scholar 

  17. Wu S, He Z, Li Q, Sun J, Li F, Lin Q, Lin H, Guan X (2013) Prognostic value of metastatic axillary lymph node ratio for Chinese breast cancer patients. Plos One 8(4):e61410. https://doi.org/10.1371/journal.pone.0061410

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  18. ** ML, Gong Y, Pei Y‑C, Ji P, Hu X, Shao ZM (2020) Modified lymph node ratio improves the prognostic predictive ability for breast cancer patients compared with other lymph node staging systems. Breast 49:93–100. https://doi.org/10.1016/j.breast.2019.11.003

    Article  PubMed  Google Scholar 

  19. Harbeck N, Jakesz R (2007) St. Gallen 2007: Breast Cancer Treatment Consensus Report. Breast Care 2:130–134. https://doi.org/10.1159/000103629

    Article  Google Scholar 

  20. Coates AS, Winer EP, Goldhirsch A, Gelber RD, Gnant M, Piccart-Gebhart M, Thürlimann B, Senn HJ, Panel Members (2015) 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(8):1533–1546. https://doi.org/10.1093/annonc/mdv221

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  21. Overgaard M, Nielsen HM, Overgaard J (2007) Is the benefit of postmastectomy irradiation limited to patients with four or more positive nodes, as recommended in international consensus reports? A subgroup analysis of the DBCG 82 b&c randomized trials. Radiother Oncol 82(3):247–253. https://doi.org/10.1016/j.radonc.2007.02.001

    Article  PubMed  Google Scholar 

  22. McGale P, Taylor C, Correa C, Cutter D, Duane F, Ewertz M, Gray R, Mannu G, Peto R, Whelan T, Wang Y, Wang Z, Darby S, EBCTCG (Early Breast Cancer Trialists’ Collaborative Group) (2014) Effect of radiotherapy after mastectomy and axillary surgery on 10-year recurrence and 20-year breast cancer mortality: meta-analysis of individual patient data for 8135 women in 22 randomised trials. Lancet 383(9935):2127–2135. https://doi.org/10.1016/S0140-6736(14)60488-8

    Article  CAS  PubMed  Google Scholar 

  23. Mukesh MB, Duke S, Parashar D, Wishart G, Coles CE, Wilson C (2014) The Cambridge post-mastectomy radiotherapy (C-PMRT) index: A practical tool for patient selection. Radiother Oncol 110(3):461–466. https://doi.org/10.1016/j.radonc.2013.09.024

    Article  PubMed  Google Scholar 

  24. Poortmans P (2013) Optimal approach in early breast cancer: Radiation therapy. EJC Suppl 11(2):27–36. https://doi.org/10.1016/j.ejcsup.2013.07.028

    Article  PubMed  PubMed Central  Google Scholar 

  25. Miyashita M, Tada H, Suzuki A, Watanabe G, Hirakawa H, Amari M, Kakugawa Y, Kawai M, Furuta A, Sato K, Yoshida R, Ebata A, Sasano H, **gu K, Ohuchi N, Ishida T (2017) Minimal impact of postmastectomy radiation therapy on locoregional recurrence for breast cancer patients with 1 to 3 positive lymph nodes in the modern treatment era. Surg Oncol 26(2):163–170. https://doi.org/10.1016/j.suronc.2017.03.003

    Article  PubMed  Google Scholar 

  26. Muhsen S, Moo TA, Patil S, Stempel M, Powell S, Morrow M, El-Tamer M (2018) Most breast cancer patients with T1‑2 tumors and one to three positive lymph nodes do not need postmastectomy radiotherapy. Ann Surg Oncol 25(7):1912–1920. https://doi.org/10.1245/s10434-018-6422-9

    Article  PubMed  PubMed Central  Google Scholar 

  27. Headon H, Kasem A, Almukbel R, Mokbel K (2016) Improvement of survival with postmastectomy radiotherapy in patients with 1–3 positive axillary lymph nodes: A systematic review and meta-analysis of the current literature. Mol Clin Oncol 5(4):429–436. https://doi.org/10.3892/mco.2016.971

    Article  PubMed  PubMed Central  Google Scholar 

  28. Yin H, Qu Y, Wang X, Ma T, Zhang H, Zhang Y, Li Y, Zhang S, Ma H, **ng E, Liu X, Xu Q (2017) Impact of postmastectomy radiation therapy in T1‑2 breast cancer patients with 1–3 positive axillary lymph nodes. Oncotarget 8(30):49564–49573. https://doi.org/10.18632/oncotarget.17318

    Article  PubMed  PubMed Central  Google Scholar 

  29. Park SH, Lee J, Lee JE, Kang MK, Kim MY, Park HY, Jung JH, Chae YS, Lee SJ, Kim JC (2018) Local and regional recurrence following mastectomy in breast cancer patients with 1–3 positive nodes: implications for postmastectomy radiotherapy volume. Radiat Oncol J 36(4):285–294. https://doi.org/10.3857/roj.2018.00458

    Article  PubMed  PubMed Central  Google Scholar 

  30. Kaššák F, Rossier C, Picardi C, Bernier J (2019) Postmastectomy radiotherapy in T1‑2 patients with one to three positive lymph nodes-Past, present and future. Breast 48:73–81. https://doi.org/10.1016/j.breast.2019.09.008

    Article  PubMed  Google Scholar 

  31. Zeidan YH, Habib JG, Ameye L, Paesmans M, de Azambuja E, Gelber RD, Campbell I, Nordenskjöld B, Gutiérez J, Anderson M, Lluch A, Gnant M, Goldhirsch A, Di Leo A, Joseph DJ, Crown J, Piccart-Gebhart M, Francis PA (2018) Postmastectomy radiation therapy in women with T1-T2 tumors and 1 to 3 positive lymph nodes: analysis of the breast international group 02-98 trial. Int J Radiat Oncol Biol Phys 101(2):316–324. https://doi.org/10.1016/j.ijrobp.2018.01.105

    Article  PubMed  Google Scholar 

  32. Bazan JG, White JR (2018) ASO author reflections: shifting the focus of pT1-2pN1 breast cancer: are we evaluating the right endpoint in tailoring adjuvant radiation therapy recommendations? Ann Surg Oncol 25(3):681–682. https://doi.org/10.1245/s10434-018-6986-4

    Article  PubMed  Google Scholar 

  33. Schiffman SC, McMasters KM, Scoggins CR, Martin RC, Chagpar AB (2011) Lymph node ratio: a proposed refinement of current axillary staging in breast cancer patients. J Am Coll Surg 213(1):45–52. https://doi.org/10.1016/j.jamcollsurg.2011.04.024

    Article  PubMed  Google Scholar 

  34. Vinh-Hung V, Verkooijen HM, Fioretta G, Neyroud-Caspar I, Rapiti E, Vlastos G, Deglise C, Usel M, Lutz JM, Bouchardy C (2009) Lymph node ratio as an alternative to pN staging in node-positive breast cancer. J Clin Oncol 27(7):1062–1068. https://doi.org/10.1200/JCO.2008.18.6965

    Article  PubMed  Google Scholar 

  35. Vinh-Hung V, Nguyen NP, Cserni G, Truong P, Woodward W, Verkooijen HM, Promish D, Ueno NT, Tai P, Nieto Y, Joseph S, Janni W, Vicini F, Royce M, Storme G, Wallace AM, Vlastos G, Bouchardy C, Hortobagyi GN (2009) Prognostic value of nodal ratios in node-positive breast cancer: a compiled update. Future Oncol 5(10):1585–1603. https://doi.org/10.2217/fon.09.129

    Article  PubMed  Google Scholar 

  36. Voordeckers M, Vinh-Hung V, Van de Steene J, Lamote J, Storme G (2004) The lymph node ratio as prognostic factor in node-positive breast cancer. Radiother Oncol 70(3):225–230. https://doi.org/10.1016/j.radonc.2003.10.015

    Article  PubMed  Google Scholar 

  37. Woodward WA, Vinh-Hung V, Ueno NT, Cheng YC, Royce M, Tai P, Vlastos G, Wallace AM, Hortobagyi GN, Nieto Y (2006) Prognostic value of nodal ratios in node-positive breast cancer. J Clin Oncol 24(18):2910–2916. https://doi.org/10.1200/jco.2005.03.1526

    Article  PubMed  Google Scholar 

  38. Danko ME, Bennett KM, Zhai J, Marks JR, Olson JA Jr (2010) Improved staging in node-positive breast cancer patients using lymph node ratio: results in 1,788 patients with long-term follow-up. J Am Coll Surg 210(5):797–805. https://doi.org/10.1016/j.jamcollsurg.2010.02.045

    Article  PubMed  Google Scholar 

  39. Zhao X, Wei J, Li X, Yang H, Wang P, Cao S (2018) Increasing negative lymph node count predicts favorable OS and DSS in breast cancer with different lymph node-positive subgroups. PLoS ONE 13(3):e193784. https://doi.org/10.1371/journal.pone.0193784

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  40. Pei JP, Zhang CD, Fan YC, Dai DQ (2019) Comparison of different lymph node staging systems in patients with resectable colorectal cancer. Front Oncol 8:671. https://doi.org/10.3389/fonc.2018.00671

    Article  PubMed  PubMed Central  Google Scholar 

  41. Fortea-Sanchis C, Martínez-Ramos D, Escrig-Sos J (2018) The lymph node status as a prognostic factor in colon cancer: comparative population study of classifications using the logarithm of the ratio between metastatic and nonmetastatic nodes (LODDS) versus the pN-TNM classification and ganglion ratio systems. Bmc Cancer 18(1):1208. https://doi.org/10.1186/s12885-018-5048-4

    Article  PubMed  PubMed Central  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Domagoj Kustić.

Ethics declarations

Conflict of interest

D. Kustić, T. Klarica Gembić, D. Grebić, S. Petretić Majnarić, and J. Nekić declare that they have no competing interests.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Kustić, D., Klarica Gembić, T., Grebić, D. et al. The role of different lymph node staging systems in predicting prognosis and determining indications for postmastectomy radiotherapy in patients with T1-T2pN1 breast carcinoma. Strahlenther Onkol 196, 1044–1054 (2020). https://doi.org/10.1007/s00066-020-01669-x

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00066-020-01669-x

Keywords

Navigation