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Staging of Breast Cancer

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Breast Disease
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Abstract

The TNM staging system for breast cancer as described by the American Joint Committee on Cancer (AJCC) was introduced to act as a standard tool to assess the prognosis of patients with newly diagnosed breast cancer. In 2009, the 7th revised edition of the TNM system was published to reflect updates in technology and clinical evidence. In the new staging system, the presence of isolated tumor cells or micrometastases in the axillary lymph nodes was found to have little impact on survival. Furthermore, breast cancer therapy has evolved with the increasing application of neoadjuvant therapy, and therefore, additional pretreatment and posttreatment staging were incorporated into the new staging system to determine chemotherapy response and treatment efficacy. Rapid advances in both clinical and laboratory sciences along with translational research have raised questions about the feasibility of ongoing TNM staging to determine whether to apply systemic therapy based on anatomic prognosis. Although multigene expression assays, such as the 70-gene prognostic signature or Oncotype DX tests, may provide additional prognostic and predictive information beyond anatomic TNM staging and ER/PR and HER2 status, there might be difficulties in incorporating these biomarkers into the TNM system. With advances in personalized medicine, more molecular gene assays and new prognostic and predictive markers such as tumor-infiltrating lymphocytes might be incorporated into future staging systems.

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References

  1. AJCC. In: Edge SB, Byrd DR, Compton CC, Fritz AG, Greene FL, Trotti A, editors. Cancer staging handbook. From the AJCC cancer staging manual. 7th ed. New York: Springer; 2010.

    Google Scholar 

  2. 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.

    Article  PubMed  PubMed Central  Google Scholar 

  3. Wolff AC, Hammond ME, Hicks DG, Dowsett M, McShane LM, Allison KH, American Society of Clinical Oncology, College of American Pathologists, et al. Recommendations for human epidermal growth factor receptor 2 testing in breast cancer: American Society of Clinical Oncology/College of American Pathologists clinical practice guideline update. J Clin Oncol. 2013;31:3997–4013.

    Article  PubMed  Google Scholar 

  4. Tavassoli FA. Ductal carcinoma in situ: introduction of the concept of ductal intraepithelial neoplasia. Mod Pathol. 1998;11:140–54.

    CAS  PubMed  Google Scholar 

  5. Tavassoli FA. Breast pathology: rationale for adopting the ductal intraepithelial neoplasia (DIN) classification. Nat Clin Pract Oncol. 2005;2:116–7.

    Article  PubMed  Google Scholar 

  6. Lester SC, Bose S, Chen YY, et al. Protocol for the examination of specimens from patients with ductal carcinoma in situ of the breast. Arch Pathol Lab Med. 2009;133:15–25.

    PubMed  Google Scholar 

  7. Chen CY, Sun LM, Anderson BO. Paget disease of the breast: changing patterns of incidence, clinical presentation, and treatment in the U.S. Cancer. 2006;107:1448–58.

    Article  PubMed  Google Scholar 

  8. Hilton JF, Bouganim N, Dong B, Chapman JW, Arnaout A, O’Malley F, et al. Do alternative methods of measuring tumor size, including consideration of multicentric/multifocal disease, enhance prognostic information beyond TNM staging in women with early stage breast cancer: an analysis of the NCIC CTG MA.5 and MA. 12 clinical trials. Breast Cancer Res Treat. 2013;142:143–51.

    Article  CAS  PubMed  Google Scholar 

  9. Walshe JM, Swain SM. Clinical aspects of inflammatory breast cancer. Breast Dis. 2005–2006; 22:35–44.

    Google Scholar 

  10. Huvos AG, Hutter RV, Berg JW. Significance of axillary macrometastases and micrometastases in mammary cancer. Ann Surg. 1971;173:44–6.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  11. Fisher ER, Palekar A, Rockette H, et al. Pathologic findings from the National Surgical Adjuvant Breast Project (Protocol No. 4). V. Significance of axillary nodal micro- and macrometastases. Cancer. 1978;42:2032–8.

    Article  CAS  PubMed  Google Scholar 

  12. Nasser IA, Lee AK, Bosari S, et al. Occult axillary lymph node metastases in “node-negative” breast carcinoma. Hum Pathol. 1993;24:950–7.

    Article  CAS  PubMed  Google Scholar 

  13. Singletary SE, Allred C, Ashley P, et al. Revision of the American Joint Committee on Cancer staging system for breast cancer. J Clin Oncol. 2002;20:3628–36.

    Article  PubMed  Google Scholar 

  14. Hermanek P, Sobin LH, Wittekind C. How to improve the present TNM staging system. Cancer. 1999;86:2189–91.

    Article  CAS  PubMed  Google Scholar 

  15. Turner RR, Weaver DL, Cserni G, et al. Nodal stage classification for breast carcinoma: improving interobserver reproducibility through standardized histologic criteria and image-based training. J Clin Oncol. 2008;26:258–63.

    Article  PubMed  Google Scholar 

  16. Chen SL, Hoehne FM, Giuliano AE. The prognostic significance of micrometastases in breast cancer: a SEER population-based analysis. Ann Surg Oncol. 2007;14:3378–84.

    Article  PubMed  Google Scholar 

  17. Weaver DL, Ashikaga T, Krag DN, Skelly JM, Anderson SJ, Harlow SP, et al. Effect of occult metastases on survival in node-negative breast cancer. N Engl J Med. 2011;364:412–21.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  18. Mittendorf EA, Ballman KV, McCall LM, Yi M, Sahin AA, Bedrosian I, et al. Evaluation of the stage IB designation of the American Joint Committee on Cancer staging system in breast cancer. J Clin Oncol. 2015;33:1119–27.

    Article  PubMed  PubMed Central  Google Scholar 

  19. Min CJ, Tafra L, Verbanac KM. Identification of superior markers for polymerase chain reaction detection of breast cancer metastases in sentinel lymph nodes. Cancer Res. 1998;58:4581–4.

    CAS  PubMed  Google Scholar 

  20. Blumencranz P, Whitworth PW, Deck K, et al. Scientific impact recognition award. Sentinel node staging for breast cancer: intraoperative molecular pathology overcomes conventional histologic sampling errors. Am J Surg. 2007;194:426–32.

    Article  PubMed  Google Scholar 

  21. Viale G, Dell’Orto P, Biasi MO, et al. Comparative evaluation of an extensive histopathologic examination and a real-time reverse-transcription- polymerase chain reaction assay for mammaglobin and cytokeratin 19 on axillary sentinel lymph nodes of breast carcinoma patients. Ann Surg. 2008;247:136–42.

    Article  PubMed  Google Scholar 

  22. National Comprehensive Cancer Network Clinical Practice Guidelines in Oncology, Breast Cancer. Version 2.2015. http://www.nccn.org/. Published 03.11.2015.

  23. Braun S, Vogl FD, Naume B, Janni W, Osborne MP, Coombes RC, et al. A pooled analysis of bone marrow micrometastasis in breast cancer. N Engl J Med. 2005;353(8):793–802.

    Article  CAS  PubMed  Google Scholar 

  24. Dawood S, Broglio K, Valero V, Reuben J, Handy B, Islam R, et al. Circulating tumor cells in metastatic breast cancer: from prognostic stratification to modification of the staging system? Cancer. 2008;113:2422–30.

    Article  PubMed  Google Scholar 

  25. De Giorgi U, Valero V, Rohren E, Dawood S, Ueno NT, Miller MC, et al. Circulating tumor cells and [18F] fluorodeoxyglucose positron emission tomography/computed tomography for outcome prediction in metastatic breast cancer. J Clin Oncol. 2009;27:3303–11.

    Article  PubMed  Google Scholar 

  26. Giordano A, Gao H, Anfossi S, Cohen E, Mego M, Lee BN, et al. Epithelial-mesenchymal transition and stem cell markers in patients with HER2-positive metastatic breast cancer. Mol Cancer Ther. 2012;11:2526–34.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  27. Tjensvoll K, Oltedal S, Heikkilä R, Kvaløy JT, Gilje B, Reuben JM, et al. Persistent tumor cells in bone marrow of non-metastatic breast cancer patients after primary surgery are associated with inferior outcome. BMC Cancer. 2012;12:190–201.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  28. Hartkopf AD, Taran FA, Wallwiener M, Hahn M, Becker S, Solomayer EF, et al. Prognostic relevance of disseminated tumour cells from the bone marrow of early stage breast cancer patients-results from a large single-centre analysis. Eur J Cancer. 2014;50:2550–9.

    Article  PubMed  Google Scholar 

  29. Falck AK, Bendahl PO, Inqvar C, Isola J, Jönsson PE, Lindblom P, et al. Analysis of and prognostic information from disseminated tumour cells in bone marrow in primary breast cancer: a prospective observational study. BMC Cancer. 2012;12:403.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  30. Langer I, Guller U, Worni M, Berclaz G, Singer G, Schaer G, Swiss Multicenter Sentinel Lymph Node Study Group in Breast Cancer, et al. Bone marrow micrometastases do not impact disease-free and overall survival in early stage sentinel lymph node negative breast cancer patients. Ann Surg Oncol. 2014;21:401–7.

    Article  PubMed  Google Scholar 

  31. Harris L, Fritsche H, Mennel R, et al. American Society of Clinical Oncology 2007 update of recommendations for the use of tumor markers in breast cancer. J Clin Oncol. 2007;25:5287–312.

    Article  CAS  PubMed  Google Scholar 

  32. Apostolaki S, Perraki M, Pallis A, et al. Circulating HER2 mRNA-positive cells in the peripheral blood of patients with stage I and II breast cancer after the administration of adjuvant chemotherapy: evaluation of their clinical relevance. Ann Oncol. 2007;18:851–8.

    Article  CAS  PubMed  Google Scholar 

  33. Ignatiadis M, Kallergi G, Ntoulia M, et al. Prognostic value of the molecular detection of circulating tumor cells using a multimarker reverse transcrip- tion-PCR assay for cytokeratin 19, mammaglobin A, and HER2 in early breast cancer. Clin Cancer Res. 2008;14:2593–600.

    Article  CAS  PubMed  Google Scholar 

  34. Ignatiadis M, Xenidis N, Perraki M, et al. Different prognostic value of cytokeratin-19 mRNA positive circulating tumor cells according to estrogen receptor and HER2 status in early-stage breast cancer. J Clin Oncol. 2007;25:5194–202.

    Article  PubMed  Google Scholar 

  35. Zhanq L, Riethdorf S, Wu G, Wang T, Yang K, Penq G, et al. Meta-analysis of the prognostic value of circulating tumor cells in breast cancer. Clin Cancer Res. 2012;18:5701–10.

    Article  Google Scholar 

  36. Rack B, Schündbeck C, Jückstock J, Andergassen U, Hepp P, Zwingers T, et al. Circulating tumor cells predict survival in early average-to-high risk breast cancer patients. J Natl Cancer Inst. 2014;106:1–11.

    Google Scholar 

  37. Cristofanilli M, Budd GT, Ellis MJ, et al. Circulating tumor cells, disease progression, and survival in metastatic breast cancer. N Engl J Med. 2004;351:781–91.

    Article  CAS  PubMed  Google Scholar 

  38. Cristofanilli M, Hayes DF, Budd GT, et al. Circulating tumor cells: a novel prognostic factor for newly diagnosed metastatic breast cancer. J Clin Oncol. 2005;23:1420–30.

    Article  PubMed  Google Scholar 

  39. Budd GT, Cristofanilli M, Ellis MJ, et al. Circulating tumor cells versus imaging-predicting overall survival in metastatic breast cancer. Clin Cancer Res. 2006;12:6403–9.

    Article  CAS  PubMed  Google Scholar 

  40. Hayes DF, Cristofanilli M, Budd GT, et al. Circulating tumor cells at each follow-up time point during therapy of metastatic breast cancer patients predict progression-free and overall survival. Clin Cancer Res. 2006;12:4218–24.

    Article  CAS  PubMed  Google Scholar 

  41. Giordano A, Egleston BL, Hajage D, Bland J, Hortobagyi GN, Reuben JM, et al. Establishment and validation of circulating tumor cell-based prognostic nomograms in the first line metastatic breast cancer patients. Clin Cancer Res. 2013;19:1596–602.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  42. Fisher B, Bryant J, Wolmark N, et al. Effect of preoperative chemotherapy on the outcome of women with operable breast cancer. J Clin Oncol. 1998;16:2672–85.

    CAS  PubMed  Google Scholar 

  43. Kaufmann M, Hortobagyi GN, Goldhirsch A, et al. Recommendations from an international expert panel on the use of neoadjuvant (primary) systemic treatment of operable breast cancer: an update. J Clin Oncol. 2006;24:1940–9.

    Article  PubMed  Google Scholar 

  44. Gonzalez-Angulo AM, McGuire SE, Buchholz TA, Tucker SL, Kuerer HM, Rouzier R, et al. Factors predictive of distant metastases in patients with breast cancer who have a pathologic complete response after neoadjuvant chemotherapy. J Clin Oncol. 2005;23:7098–8104.

    Article  PubMed  Google Scholar 

  45. Dawood S, Broglio K, Kau SW, Islam R, Symnans WF, Buchholz TA, et al. Prognostic value of initial clinical disease stage after achieving pathological complete response. Oncologist. 2008;13:6–15.

    Article  PubMed  Google Scholar 

  46. Eiermann W, Paepke S, Appfelstaedt J, et al. Preoperative treatment of postmenopausal breast cancer patients with letrozole: a randomized double blind multicenter study. Ann Oncol. 2001;12:1527–32.

    Article  CAS  PubMed  Google Scholar 

  47. Kuerer HM, Newman LA, Smith TM, et al. Clinical course of breast cancer patients with complete pathologic primary tumor and axillary lymph node response to doxorubicin-based neoadjuvant chemotherapy. J Clin Oncol. 1999;17:460–9.

    CAS  PubMed  Google Scholar 

  48. Rastogi P, Anderson SJ, Bear HD, et al. Preoperative chemotherapy: updates of National Surgical Adjuvant Breast and Bowel Project Protocols B-18 and B-27. J Clin Oncol. 2008;26:778–85.

    Article  PubMed  Google Scholar 

  49. Bear HD, Anderson S, Brown A, et al. The effect on tumor response of adding sequential preoperative docetaxel to preoperative doxorubicin and cyclophosphamide: preliminary results from National Surgical Adjuvant Breast and Bowel Project Protocol B-27. J Clin Oncol. 2003;21:4165–74.

    Article  CAS  PubMed  Google Scholar 

  50. Green MC, Buzdar AU, Smith T, et al. Weekly paclitaxel improves pathologic complete remission in operable breast cancer when compared with paclitaxel once every 3 weeks. J Clin Oncol. 2005;23:5983–92.

    Article  CAS  PubMed  Google Scholar 

  51. Sataloff DM, Mason BA, Prestipino AJ, et al. Pathologic response to induction chemotherapy in locally advanced carcinoma of the breast: a determinant of outcome. J Am Coll Surg. 1995;180:297–306.

    CAS  PubMed  Google Scholar 

  52. von Minckwitz G, Rezai M, Loibl S, et al. Capecitabine in addition to anthracycline/taxane based neoadjuvant treatment in patients with primary breast cancer: the phase III GeparQuattro study. J Clin Oncol. 2010;28:2015–23.

    Article  Google Scholar 

  53. Mazouni C, Peintinger F, Wan-Kau S, et al. Residual ductal carcinoma in situ in patients with complete eradication of invasive breast cancer after neoadjuvant chemotherapy does not adversely affect patient outcome. J Clin Oncol. 2007;25:2650–5.

    Article  CAS  PubMed  Google Scholar 

  54. Jones RL, Lakhani SR, Ring AE, et al. Pathological complete response and residual DCIS following neoadjuvant chemotherapy for breast carcinoma. Br J Cancer. 2006;94:358–62.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  55. von Minckwitz G, Untch M, Blohmer JU, Costa SD, Eidtmann H, Fasching PA, et al. Definition and impact of pathologic complete response on prognosis after neoadjuvant chemotherapy in various intrinsic breast cancer subtypes. J Clin Oncol. 2012;30:1796–804.

    Article  Google Scholar 

  56. Houssami N, Macaskill P, von Minckwitz G, Marinovich ML, Mamounas E. Meta-analysis of the association of breast cancer subtype and pathologic complete response to neoadjuvant chemotherapy. Eur J Cancer. 2012;48:3342–54.

    Article  CAS  PubMed  Google Scholar 

  57. Liedtke C, Mazouni C, Hess KR, et al. Response to neoadjuvant therapy and long-term survival in patients with triple-negative breast cancer. J Clin Oncol. 2008;26:1275–81.

    Article  PubMed  Google Scholar 

  58. Buzdar AU, Valero V, Ibrahim NK, Francis D, Broglio KR, Theriault RL, et al. Neoadjuvant therapy with paclitaxel followed by 5-fluorouracil, epirubicin, and cyclophosphamide chemotherapy and concurrent trastuzumab in human epidermal growth factor receptor 2-positive operable breast cancer: an update of the initial randomized study population and data of additional patients treated with the same regimen. Clin Cancer Res. 2007;13:228–33.

    Article  CAS  PubMed  Google Scholar 

  59. Kim MM, Allen P, Gonzalez-Angulo AM, Woodward WA, Meric-Bernstam F, Buzdar AU, et al. Pathologic complete response to neoadjuvant chemotherapy with trastuzumab predicts for improved survival in women with HER2-overexpressing breast cancer. Ann Oncol. 2013;24:1999–2004.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  60. Swain SM, Baselga J, Kim SB, Ro J, Semiglazov V, Campone M, CLEOPATRA Study Group, et al. Pertuzumab, trastuzumab, and docetaxel in HER2-positive metastatic breast cancer. N Engl J Med. 2015;372:724–34.

    Article  CAS  PubMed  Google Scholar 

  61. Denkert C, von Minckwitz G, Brase JC, Sinn BV, Gade S, Kronenwett R, et al. Tumor-infiltrating lymphocytes and response to neoadjuvant chemotherapy with or without carboplatin in human epidermal growth factor receptor 2-positive and triple-negative primary breast cancers. J Clin Oncol. 2015;33:983–91.

    Article  CAS  PubMed  Google Scholar 

  62. Suman VJ, Hoog J, Lin L, Snider J, Prat A, Parker JS, et al. Randomized phase II neoadjuvant comparison between letrozole, anastrozole, and exemestane for postmenopausal women with estrogen receptor–rich stage 2 to 3 breast cancer: clinical and biomarker outcomes and predictive value of the baseline PAM50-based intrinsic subtype—ACOSOG Z1031. J Clin Oncol. 2011;29:2342–9.

    Article  PubMed  PubMed Central  Google Scholar 

  63. Leal F, Liutti VT, Antunes Dos Santos VC, Novis de Figueiredo MA, Macedo LT, Rinck Junior JA, Sasse AD. Neoadjuvant endocrine therapy for resectable breast cancer: a systematic review and meta-analysis. Breast. 2015. doi:10.1016/j.breast.2015.03.004. Apr 6. pii: S0960-9776(15)00072-7.

    PubMed  Google Scholar 

  64. Fisher ER, Wang J, Bryant J, et al. Pathobiology of preoperative chemotherapy: findings from the National Surgical Adjuvant Breast and Bowel (NSABP) protocol B-18. Cancer. 2002;95:681–95.

    Article  PubMed  Google Scholar 

  65. Chevillard S, Vielh P, Pouillart P. Tumor response of breast cancer patients treated by neaoadjuvant chemotherapy may be predicted by measuring the early level of MDR1 gene expression. Proc Am Soc Clin Oncol. 1993;12:59.

    Google Scholar 

  66. Ogston KN, Miller ID, Payne S, et al. A new histological grading system to assess response of breast cancers to primary chemotherapy: prognostic significance and survival. Breast. 2003;12:320–7.

    Article  PubMed  Google Scholar 

  67. Symmans WF, Peintinger F, Hatzis C, et al. Measurement of residual breast cancer burden to predict survival after neoadjuvant chemotherapy. J Clin Oncol. 2007;25:4414–22.

    Article  PubMed  Google Scholar 

  68. Carey LA, Metzger R, Dees EC, et al. American Joint Committee on cancer tumor-node-metastasis stage after neoadjuvant chemotherapy and breast cancer outcome. J Natl Cancer Inst. 2005;97:1137–42.

    Article  PubMed  Google Scholar 

  69. Berg WA, Gutierrez L, NessAiver MS, Berg WA, Gutierrez L, NessAiver MS, et al. Diagnostic accuracy of mammography, clinical examination, US, and MR imaging in preoperative assessment of breast cancer. Radiology. 2004;233:830–49.

    Article  PubMed  Google Scholar 

  70. Chagpar AB, Middleton LP, Sahin AA, Dempsey P, Buzdar AU, Mirza AN, et al. Accuracy of physical examination, ultrasonography, and mammography in predicting residual pathologic tumor size in patients treated with neoadjuvant chemotherapy. Ann Surg. 2006;243:257–64.

    Article  PubMed  PubMed Central  Google Scholar 

  71. Keam B, Im SA, Lim Y, Han SW, Moon HG, Oh DY, et al. Clinical usefulness of AJCC response criteria for neoadjuvant chemotherapy in breast cancer. Ann Surg Oncol. 2013;20:2242–9.

    Article  PubMed  Google Scholar 

  72. Jeruss JS, Mittendorf EA, Tucker SL, Gonzalez-Angulo AM, Buchholz TA, Sahin AA, et al. Combined use of clinical and pathologic staging variables to define outcomes for breast cancer patients treated with neoadjuvant therapy. J Clin Oncol. 2008;26:246–52.

    Article  CAS  PubMed  Google Scholar 

  73. Mittendorf EA, Jeruss JS, Tucker SL, Kolli A, Newman LA, Gonzalez-Angulo AM, et al. Validation of a novel staging system for disease-specific survival in patients with breast cancer treated with neoadjuvant chemotherapy. J Clin Oncol. 2011;29:1956–62.

    Article  PubMed  PubMed Central  Google Scholar 

  74. Yi M, Mittendorf EA, Cormier JN, Buchholz TA, Bilimoria K, Sahin AA, et al. Novel staging system for predicting disease-specific survival in patients with breast cancer treated with surgery as the first intervention: time to modify the current American Joint Committee on Cancer Staging System. J Clin Oncol. 2011;29:4654–61.

    Article  PubMed  PubMed Central  Google Scholar 

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

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  76. Goldhirsch A, Winer EP, Coates AS, Gelber RD, Piccart-Gebhart M, Thürlimann B, Panel members, 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 

  77. Esposito A, Criscitiello C, Curigliano G. Highlights from the 14th St Gallen International Breast Cancer Conference 2015 in Vienna: dealing with classification, prognostication, and prediction refinement to personalize the treatment of patients with early breast cancer. Ecancermedicalscience. 2015;9:518.

    PubMed  PubMed Central  Google Scholar 

  78. Jung HA, Park YH, Kim M, Kim S, Chang WJ, Choi MK, Hong JY, Kim SW, Kil WH, Lee JE, Nam SJ, Ahn JS, Im YH. Prognostic relevance of biological subtype overrides that of TNM staging in breast cancer: discordance between stage and biology. Tumour Biol. 2015;36:1073–9.

    Article  PubMed  Google Scholar 

  79. Bagaria SP, Ray PS, Sim MS, Ye X, Shamonki JM, Cui X, Giuliano AE. Personalizing breast cancer staging by the inclusion of ER, PR, and HER2. JAMA Surg. 2014;149(2):125–9.

    Article  PubMed  Google Scholar 

  80. Orucevic A, Chen J, McLoughlin JM, Heidel RE, Panella T, Bell J. Is the TNM staging system for breast cancer still relevant in the era of biomarkers and emerging personalized medicine for breast cancer – an institution’s 10-year experience. Breast J. 2015;21:147–54.

    Article  PubMed  Google Scholar 

  81. Murthy V, Chamberlain RS. Recommendation to revise the AJCC/UICC Breast Cancer Staging System for inclusion of proven prognostic factors: ER/PR receptor status and HER2 neu. Clin Breast Cancer. 2011;11:346–7.

    Article  CAS  PubMed  Google Scholar 

  82. Buyse M, Loi S, van’t Veer L, Viale G, Delorenzi M, Glas AM, TRANSBIG Consortium, et al. Validation and clinical utility of a 70-gene prognostic signature for women with node-negative breast cancer. J Natl Cancer Inst. 2006;98:183–92.

    Article  Google Scholar 

  83. Bueno-de-Mesquita JM, van Harten WH, Retel VP, van’t Veer LJ, van Dam FS, Karsenberg K, et al. Use of 70-gene signature to predict prognosis of patients with node-negative breast cancer: a prospective community-based feasibility study (RASTER). Lancet Oncol. 2007;8:1079–87.

    Article  CAS  PubMed  Google Scholar 

  84. Paik S, Shak S, Tang G, et al. A multigene assay to predict recurrence of tamoxifen-treated, node-negative breast cancer. N Engl J Med. 2004;351:2817–26.

    Article  CAS  PubMed  Google Scholar 

  85. Tang G, Shak S, Paik S, Anderson SJ, Costantino JP, Geyer Jr CE, et al. Comparison of the prognostic and predictive utilities of the 21-gene recurrence score assay and adjuvant! for women with node-negative, ER-positive breast cancer: results from NSABP B-14 and NSABP B-20. Breast Cancer Res Treat. 2011;127:133–42.

    Article  PubMed  PubMed Central  Google Scholar 

  86. Mamounas EP, Tang G, Fisher B, Paik S, Shak S, Costantino JP, et al. Association between the 21-gene recurrence score assay and risk of locoregional recurrence in node-negative, estrogen receptor–positive breast cancer: results from NSABP B-14 and NSABP B-20. J Clin Oncol. 2010;28:1677–83.

    Article  PubMed  PubMed Central  Google Scholar 

  87. Győrffy B, Hatzis C, Sanft T, Hofstatter E, Aktas B, Pusztai L. Multigene prognostic tests in breast cancer: past, present, future. Breast Cancer Res. 2015;17:11.

    Article  PubMed  PubMed Central  Google Scholar 

  88. Chagpar A, Camp RL, Rimm DL. Lymph node ratio should be considered for incorporation into staging for breast cancer. Ann Surg Oncol. 2011;18:3143–8.

    Article  PubMed  Google Scholar 

  89. Schiffman SC, McMasters KM, Scoggins CR, Martin RC, Chagpar AB. Lymph node ratio: a proposed refinement of current axillary staging in breast cancer patients. J Am Coll Surg. 2011;213:45–53.

    Article  PubMed  Google Scholar 

  90. Murthy V, Chamberlain RS. Further expansion of the AJCC/UICC breast cancer staging system to encompass unique problems in the developing world. Ann Surg Oncol. 2011;18:S278–80.

    Article  PubMed  Google Scholar 

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Cabioglu, N. (2016). Staging of Breast Cancer. In: Aydiner, A., İgci, A., Soran, A. (eds) Breast Disease. Springer, Cham. https://doi.org/10.1007/978-3-319-26012-9_3

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