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Part of the book series: Recent Results in Cancer Research ((RECENTCANCER,volume 195))

Abstract

Despite significant progress in our understanding and treatment of metastatic cancer, nearly all metastatic cancers are incurable. In this Review, we use breast cancer as a model to highlight the limitations and inconsistencies of our existing treatment paradigms for metastatic disease. In turn, we offer a new theory of metastasis, termed “self-seeding. ” The self-seeding paradigm, well validated in mathematical, experimental and animal models, challenges the notion that cancers cells that leave a primary tumor cell, unidirectionally seed metastases in regional lymph nodes and/or distant sites. In contrast, there is mounting evidence that circulating tumor cells can move multi-directionally, seeding not only distant sites but also their tumors of origin. Here, we show that the self-seeding model may answer many of the quandaries intrinsic to understanding how cancer spreads and ultimately kills. Indeed, redirecting our research and treatment efforts within the self-seeding model may offer new possibilities for eradicating metastatic cancer.

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References

  1. Norton L, Massague J (2006) Is cancer a disease of self-seeding? Nat Med 12(8):875–878

    Article  PubMed  CAS  Google Scholar 

  2. Kim MY et al (2009) Tumor self-seeding by circulating cancer cells. Cell 139(7):1315–1326

    Article  PubMed  Google Scholar 

  3. Uhr JW, Pantel K (2011) Controversies in clinical cancer dormancy. Proc Natl Acad Sci U S A 108(30):12396–400

    Google Scholar 

  4. LaBarge MA, Petersen OW, Bissell MJ (2007) Of microenvironments and mammary stem cells. Stem Cell Rev 3(2):137–146

    Article  PubMed  CAS  Google Scholar 

  5. Minn AJ et al (2007) Lung metastasis genes couple breast tumor size and metastatic spread. Proc Natl Acad Sci U S A 104(16):6740–6745

    Article  PubMed  CAS  Google Scholar 

  6. Bos PD et al (2009) Genes that mediate breast cancer metastasis to the brain. Nature 459(7249):1005–1009

    Article  PubMed  CAS  Google Scholar 

  7. Lu X et al (2009) ADAMTS1 and MMP1 proteolytically engage EGF-like ligands in an osteolytic signaling cascade for bone metastasis. Genes Dev 23(16):1882–1894

    Article  PubMed  CAS  Google Scholar 

  8. Nguyen DX, Bos PD, Massague J (2009) Metastasis: from dissemination to organ-specific colonization. Nat Rev Cancer 9(4):274–284

    Google Scholar 

  9. Cenkowski M et al (2011) Tumor-to-tumor metastasis: report of a case of renal cell carcinoma metastasizing to a pancreatic endocrine neoplasm. J clin oncol off j Am Soc Clin Oncol 29(11):e303–e304

    Article  Google Scholar 

  10. Norton L (2008) Cancer stem cells, self-seeding, and decremented exponential growth: theoretical and clinical implications. Breast Dis 29:27–36

    Google Scholar 

  11. Norton L, Simon R (1977) Tumor size, sensitivity to therapy, and design of treatment schedules. Cancer Treat Rep 61(7):1307–1317

    Google Scholar 

  12. Gompertz B (1832) On the nature of the function expressive of the law of human mortality, and on a new mode of determining the value of life contingencies. Phil Trans Roy Soc London 123:513–585

    Google Scholar 

  13. Norton L (1988) A Gompertzian model of human breast cancer growth. Cancer Res 48(24 Pt 1):7067–7071

    PubMed  CAS  Google Scholar 

  14. Halsted W (1907) The results of radical operations for the cure of carcinoma of the breast. Ann Surg 46(1):1–19

    Article  PubMed  CAS  Google Scholar 

  15. Irving A (1979) Results of treating 1,178 patients with breast cancer by radical mastectomy and postoperative irradiation where metastases to axillary lymph nodes occurred. J Surg Oncol 12:137–153

    Article  Google Scholar 

  16. Schoppmann SF et al (2004) Prognostic value of lymphangiogenesis and lymphovascular invasion in invasive breast cancer. Ann Surg 240(2):306–312

    Article  PubMed  Google Scholar 

  17. Cox C et al (2006) Survival outcomes in node-negative breast cancer patients evaluated with complete axillary node dissection versus sentinel lymph node biopsy. Ann Surg Oncol 13(5):708–711

    Article  PubMed  Google Scholar 

  18. Lyman GH et al (2005) American Society of Clinical Oncology guideline recommendations for sentinel lymph node biopsy in early-stage breast cancer. J Clin Oncol 23(30):7703–7720

    Article  PubMed  Google Scholar 

  19. Clarke M et al (2005) Effects of radiotherapy and of differences in the extent of surgery for early breast cancer on local recurrence and 15-year survival: an overview of the randomised trials. Lancet 366(9503):2087–2106

    PubMed  CAS  Google Scholar 

  20. Shapiro DM, Fugmann RA (1957) A role for chemotherapy as an adjunct to surgery. Cancer Res 17(11):1098–1101

    PubMed  CAS  Google Scholar 

  21. Fisher B (1977) Biological and clinical considerations regarding the use of surgery and chemotherapy in the treatment of primary breast cancer. Cancer 40(1 suppl):574–587

    Article  PubMed  CAS  Google Scholar 

  22. Andersson Y et al (2010) Breast cancer survival in relation to the metastatic tumor burden in axillary lymph nodes. J Clin Oncol 28(17):2868–2873

    Article  PubMed  Google Scholar 

  23. Giuliano AE 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(6):569–575

    Article  PubMed  CAS  Google Scholar 

  24. Wo JY et al (2011) Effect of very small tumor size on cancer-specific mortality in node-positive breast cancer. J Clin Oncol

    Google Scholar 

  25. Hernandez-Aya LF et al (2011) Nodal status and clinical outcomes in a large cohort of patients with triple-negative breast cancer. J Clin Oncol

    Google Scholar 

  26. Zhang XH et al (2009) Latent bone metastasis in breast cancer tied to Src-dependent survival signals. Cancer Cell 16(1):67–78

    Article  PubMed  CAS  Google Scholar 

  27. Whelan TJ, Olivotto I, Ackerman I, Chapman JW, Chua B, NabidA, Vallis KA, White JR, Rousseau P, Fortin A, Pierce LJ, Manchul L, Craighead P, Nolan MC, Bowen J, McCready DR, Pritchard KI, Levine MN, Parulekar W (2011) NCIC-CTG MA.20: an intergroup trial of regional nodal irradiation in early breast cancer. J Clin Oncol 29

    Google Scholar 

  28. Recht A et al (1996) The sequencing of chemotherapy and radiation therapy after conservative surgery for early-stage breast cancer. N Engl J Med 334(21):1356–1361

    Article  PubMed  CAS  Google Scholar 

  29. Richardson WW, Bloom HJG (1957) Histological grading and prognosis in breast cancer a study of 1409 cases of which 359 have been followed for 15 years. Br J Cancer 11(3):359–377

    Google Scholar 

  30. Group ECO (2011) A Randomized Phase III Trial of the value of early local therapy for the intact primary tumor in patients with metastatic breast cancer E2108, 23 June 2011

    Google Scholar 

  31. Neuman HB et al (2010) Stage IV breast cancer in the era of targeted therapy: does surgery of the primary tumor matter? Cancer 116(5):1226–1233

    Article  PubMed  Google Scholar 

  32. Bafford AC et al (2009) Breast surgery in stage IV breast cancer: impact of staging and patient selection on overall survival. Breast Cancer Res Treat 115(1):7–12

    Article  PubMed  Google Scholar 

  33. Bombonati A, Sgroi DC (2011) The molecular pathology of breast cancer progression. J Pathol 223(2):307–317

    Article  PubMed  CAS  Google Scholar 

  34. Png KJ, Yoshida M, Zhang XH, Shu W, Lee H, Rimner A, Chan TA, Comen E, Andrade VP, Kim SW, King TA, Hudis CA, Norton L, Hicks J, Massagué J, Tavazoie SF (2011) MicroRNA-335 inhibits tumor reinitiation and is silenced through genetic and epigenetic mechanisms in human breast cancer. Genes Dev 25(3):226–231

    Google Scholar 

  35. Moelans CB et al (2010) Molecular differences between ductal carcinoma in situ and adjacent invasive breast carcinoma: a multiplex ligation-dependent probe amplification study. Anal Cell Pathol (Amst) 33(3):165–173

    CAS  Google Scholar 

  36. Liu H et al (2010) Cancer stem cells from human breast tumors are involved in spontaneous metastases in orthotopic mouse models. Proc Natl Acad Sci U S A 107(42):18115–18120

    Article  PubMed  CAS  Google Scholar 

  37. Wicha MS, Liu S, Dontu G (1883) Cancer stem cells: an old idea–a paradigm shift. Cancer Res 66(4):1883–1890 (discussion 1895–1896)

    Google Scholar 

  38. Paik S et al (2004) A multigene assay to predict recurrence of tamoxifen-treated, node-negative breast cancer. N Engl J Med 351(27):2817–2826

    Article  PubMed  CAS  Google Scholar 

  39. van de Vijver MJ et al (2002) A gene-expression signature as a predictor of survival in breast cancer. N Engl J Med 347(25):1999–2009

    Article  PubMed  Google Scholar 

  40. Sotiriou C, Pusztai L (2009) Gene-expression signatures in breast cancer. N Engl J Med 360(8):790–800

    Article  PubMed  CAS  Google Scholar 

  41. Alowami S et al (2003) Mammographic density is related to stroma and stromal proteoglycan expression. Breast Cancer Res 5(5):R129–R135

    Article  PubMed  CAS  Google Scholar 

  42. Boyd NF et al (2002) Heritability of mammographic density, a risk factor for breast cancer. N Engl J Med 347(12):886–894

    Article  PubMed  Google Scholar 

  43. Radisky DC, Hartmann LC (2009) Mammary involution and breast cancer risk: transgenic models and clinical studies. J Mammary Gland Biol Neoplasia 14(2):181–191

    Article  PubMed  Google Scholar 

  44. Ghosh K et al (2010) Independent association of lobular involution and mammographic breast density with breast cancer risk. J Natl Cancer Inst 102(22):1716–1723

    Article  PubMed  Google Scholar 

  45. Provenzano PP et al (2008) Collagen density promotes mammary tumor initiation and progression. BMC Med 6:11

    Article  PubMed  Google Scholar 

  46. Criscitiello C, Sotiriou C, Ignatiadis M (2010) Circulating tumor cells and emerging blood biomarkers in breast cancer. Curr Opin Oncol 22(6):552–558

    Article  PubMed  CAS  Google Scholar 

  47. Jones RG, Thompson CB (2009) Tumor suppressors and cell metabolism: a recipe for cancer growth. Genes Dev 23(5):537–548

    Article  PubMed  CAS  Google Scholar 

  48. Peggs KS et al (2006) Principles and use of anti-CTLA4 antibody in human cancer immunotherapy. Curr Opin Immunol 18(2):206–213

    Article  PubMed  CAS  Google Scholar 

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Correspondence to Larry Norton .

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Comen, E., Norton, L. (2012). Self-Seeding in Cancer. In: Ignatiadis, M., Sotiriou, C., Pantel, K. (eds) Minimal Residual Disease and Circulating Tumor Cells in Breast Cancer. Recent Results in Cancer Research, vol 195. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-28160-0_2

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  • DOI: https://doi.org/10.1007/978-3-642-28160-0_2

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