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Differences in subtype distribution between screen-detected and symptomatic invasive breast cancer and their impact on survival

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Abstract

Purpose

Stage shift is considered a major reason for more favorable outcomes in patients with screen-detected breast cancer. However, even after adjusting for clinical stage, unresolved issues concerning the reasons for a survival benefit associated with screening programs remain. This study aims to evaluate differences in subtype distribution and outcomes among patients with screen-detected and symptomatic invasive breast cancer and assess whether variations in subtype distribution could explain differences in prognosis.

Methods

Survival analysis was performed to estimate the likelihood of distant recurrence and death in 1132 patients. Subtypes were defined as luminal A [estrogen receptor (ER)+ and/or progesterone receptor (PR)+, human epidermal growth factor receptor 2 (HER2)−, and Ki67 low], luminal B (HER2−) (ER+ and/or PR+, HER2−, and Ki67 high), luminal B (HER2+) (ER+ and/or PR+ and HER2+), HER2 overexpressing (ER−, PR−, and HER2+), and triple negative (ER−, PR−, and HER2−).

Results

Screen-detected cancers had favorable clinicopathological characteristics, such as smaller tumor size and a lower frequency of lymph node involvement. Women with screen-detected cancers had a survival advantage. Subtype distribution differed significantly among women with screen-detected and symptomatic cancer. Screen-detected cancers were more likely to be luminal A and less likely to be HER2 overexpressing or triple negative cancer compared with symptomatic cancers (luminal A 61.3 vs. 44.2%, HER2 overexpressing 4.0 vs. 8.0%, triple negative 8.0 vs. 15.9%). Node status, mode of detection, and subtype were independent prognostic factors in the multivariate analysis.

Conclusions

Differences in subtype distribution between screen-detected and symptomatic cancer could partially explain differences in outcomes.

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References

  1. Torre LA, Bray F, Siegel RL, Ferlay J, Lortet-Tieulent J, Jemal A. Global cancer statistics, 2012. CA Cancer J Clin. 2015;65:87–108.

    Article  PubMed  Google Scholar 

  2. Allgood PC, Duffy S, Kearins O, O’Sullivan E, Tappenden N, Wallis MG, et al. Explaining the difference in prognosis between screen-detected and symptomatic breast cancers. Br J Cancer. 2011;104:1680–5.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  3. Smith R. International programmes for the detection of breast cancer. Salud Publica Mex. 2011;53:394–404.

    PubMed  Google Scholar 

  4. Nelson HD, Fu R, Cantor A, Pappas M, Daeges M, Humphrey L. Effectiveness of breast cancer screening: systematic review and meta-analysis to update the 2009 US preventive services task force recommendation. Ann Intern Med. 2016;164:244–55.

    Article  PubMed  Google Scholar 

  5. Kalager M, Zelen M, Langmark F, Adami HO. Effect of screening mammography on breast-cancer mortality in Norway. N Engl J Med. 2010;363:1203–10.

    Article  CAS  PubMed  Google Scholar 

  6. Autier P, Koechlin A, Smans M, Vatten L, Boniol M. Mammography screening and breast cancer mortality in Sweden. J Natl Cancer Inst. 2012;104:1080–93.

    Article  CAS  PubMed  Google Scholar 

  7. Pálka I, Kelemen G, Ormándi K, Lázár G, Nyári T, Thurzó L, et al. Tumor characteristics in screen-detected and symptomatic breast cancers. Pathol Oncol Res. 2008;14:161–7.

    Article  PubMed  Google Scholar 

  8. Shen Y, Yang Y, Inoue LY, Munsell MF, Miller AB, Berry DA. Role of detection method in predicting breast cancer survival: analysis of randomized screening trials. J Natl Cancer Inst. 2005;97:1195–203.

    Article  PubMed  Google Scholar 

  9. Joensuu H, Lehtimäki Holli K, Elomaa L, Turpeenniemi-Hujanen T, Kataja V, et al. Risk for distant recurrence of breast cancer detected by mammography screening or other methods. JAMA. 2004;292:1064–73.

    Article  CAS  PubMed  Google Scholar 

  10. Wishart GC, Greenberg D, Britton PD, Chou P, Brown CH, Purushotham AD, et al. Screen-detected vs symptomatic breast cancer: is improved survival due to stage migration alone? Br J Cancer. 2008;98:1741–4.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  11. Mook S, Veer LJV’t, Rutgers EJ, Ravdin PM, van de Velde AO, van Leeuwen FE, et al. Independent prognostic value of screen detection in invasive breast cancer. J Natl Cancer Inst. 2011;103:585–97.

    Article  PubMed  Google Scholar 

  12. Chuang SL, Chen SL, Yu CP, Chang KJ, Yen AM, Chiu SY, et al. Using tumor phenotype, histological tumor distribution, and mammographic appearance to explain the survival differences between screen-detected and clinically detected breast cancers. APMIS. 2014;122:699–707.

    Article  PubMed  Google Scholar 

  13. Perou CM, Sorlie T, Eisen MB, van de Rijn M, Jeffrey SS, Rees CA, et al. Molecular portraits of human breast tumours. Nature. 2000;406:747–52.

    Article  CAS  PubMed  Google Scholar 

  14. Sorlie T, Tibshirani R, Parker J, Hastie T, Marron JS, Nobel A, et al. Repeated observation of breast tumor subtypes in independent gene expression data sets. Proc Natl Acad Sci USA. 2003;100:8418–23.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  15. Cheang MC, Chia SK, Voduc D, Gao D, Leung S, Snider J, et al. Ki67 index, HER2 status, and prognosis of patients with luminal B breast cancer. J Natl Cancer Inst. 2009;101:736–50.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  16. Jacquemier J, Ginestier C, Rougemont J, Bardou VJ, Charafe-Jauffret E, Geneix J, et al. Protein expression profiling identifies subclasses of breast cancer and predicts prognosis. Cancer Res. 2005;65:767–9.

    CAS  PubMed  Google Scholar 

  17. Goldhirsch A, Wood WC, Coates AS, Gelber RD, Thürlimann B, Senn HJ, et al. 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. 2011;22:1736–47.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  18. Goldhirsch A, Winer EP, Coates AS, Gelber RD, Piccart-Gebhart M, Thürlimann B, et al. Personalizing the treatment of women with early breast cancer: highlights of the St Gallen International Expert Consensus on the Primary Therapy of Early Breast Cancer 2013. Ann Oncol. 2013;24:2206–23.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  19. Sihto H, Lundin J, Lehtimaki T, Sarlomo-Rikala M, Butzow R, Holli K, et al. Molecular subtypes of breast cancers detected in mammography screening and outside of screening. Clin Cancer Res. 2008;14:4103–10.

    Article  CAS  PubMed  Google Scholar 

  20. Dawson SJ, Duffy S, Blows FM, Driver KE, Provenzano E, LeQuesne J, et al. Molecular characteristics of screen-detected vs symptomatic breast cancers and their impact on survival. Br J Cancer. 2009;101:1338–44.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  21. Kim J, Lee S, Bae S, Choi MY, Lee J, Jung SP, et al. Comparison between screen-detected and symptomatic breast cancers according to molecular subtypes. Breast Cancer Res Treat. 2012;131:527–40.

    Article  PubMed  Google Scholar 

  22. Crispo A, Barba M, D’Aiuto G, De Laurentiis M, Grimaldi M, Rinaldo M, et al. Molecular profiles of screen detected vs. symptomatic breast cancer and their impact on survival: results from a clinical series. BMC Cancer. 2013;13:15–20.

    Article  PubMed  PubMed Central  Google Scholar 

  23. Bloom HJ, Richardson WW. Histological grading and prognosis in breast cancer; a study of 1409 cases of which 359 have been followed for 15 years. Br J Cancer. 1957;11:359–77.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  24. Hudis CA, Barlow WE, Costantino JP, Gray RJ, Pritchard KI, Chapman JA, et al. Proposal for standardized definitions for efficacy end points in adjuvant breast cancer trials: the STEEP system. J Clin Oncol. 2007;25:2127–32.

    Article  PubMed  Google Scholar 

  25. Kaplan EL, Meier P. Nonparametric estimation for incomplete observations. J Am Stat Assoc. 1958;53:457–81.

    Article  Google Scholar 

  26. Hudis CA. Biology before anatomy in early breast cancer-precisely the point. N Engl J Med. 2015;373:2079–80.

    Article  PubMed  Google Scholar 

  27. Joensuu H, Bono P, Kataja V, Alanko T, Kokko R, Asola R, et al. Fluorouracil, epirubicin, and cyclophosphamide with either docetaxel or vinorelbine, with or without trastuzumab, as adjuvant treatments of breast cancer: final results of the FinHer Trial. J Clin Oncol. 2009;27:5685–92.

    Article  CAS  PubMed  Google Scholar 

  28. Perez EA, Romond EH, Suman VJ, Jeong JH, Davidson NE, Geyer CE Jr, et al. Four-year follow-up of trastuzumab plus adjuvant chemotherapy for operable human epidermal growth factor receptor 2-positive breast cancer: joint analysis of data from NCCTG N9831 and NSABP B-31. J Clin Oncol. 2011;29:3366–73.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  29. Gianni L, Dafni U, Gelber RD, Azambuja E, Muehlbauer S, Goldhirsch A, Herceptin Adjuvant (HERA) Trial Study Team, et al. Treatment with trastuzumab for 1 year after adjuvant chemotherapy in patients with HER2-positive early breast cancer: a 4-year follow-up of a randomised controlled trial. Lancet Oncol. 2011;12:236–44.

    Article  CAS  PubMed  Google Scholar 

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Correspondence to T. Utsumi.

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The authors declare that they have no conflict of interest.

Research involving human participants

This study has been approved by the appropriate institutional research ethics committee and has been performed in accordance with the ethical standards outlined in the 1964 Declaration of Helsinki and its later amendments or comparable ethical standards.

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Kobayashi, N., Hikichi, M., Ushimado, K. et al. Differences in subtype distribution between screen-detected and symptomatic invasive breast cancer and their impact on survival. Clin Transl Oncol 19, 1232–1240 (2017). https://doi.org/10.1007/s12094-017-1660-z

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  • DOI: https://doi.org/10.1007/s12094-017-1660-z

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