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  • Review Article
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Clinical implications of cancer self-seeding

Abstract

Most metastatic cancers are incurable—a fact that underscores the limitations of our existing paradigms for understanding metastasis. In this Review, we use breast cancer to explore many of the enigmas revealed by these existing paradigms. Traditionally, metastatic models describe metastasis as a unidirectional process, whereby cancer cells leave a primary tumor and unidirectionally seed metastasis in regional lymph nodes or distant sites. By contrast, recent data indicate that metastasis is a multidirectional process whereby cancer cells can seed distant sites as well as the primary tumor itself. This later process, known as 'self-seeding,' has been validated in diverse experimental models. Here, we show that the self-seeding model may answer many of the mysteries inherent to cancer metastasis. Indeed, reframing our understanding of metastasis within the self-seeding model offers new opportunities for prevention and cure of metastatic cancer.

Key Points

  • Most metastatic cancers are currently incurable; thus, existing paradigms for understanding metastasis reveal persistent enigmas

  • In breast cancer, unsolved mysteries include the similarities between pre-cancer and cancer, mammographic breast density as a risk factor, and the relationship between local control and distant recurrence

  • A new paradigm, termed 'self-seeding,' reconciles many of these enigmas

  • Self-seeding describes the multidirectional capacity of cancer cells to seed distant organs as well as self-seed a primary tumor

  • Reframing drug development and clinical investigation within a self-seeding model may be a harbinger for clinical progress in curing metastatic cancers

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Figure 1: The concept of self-seeding that explains cancer growth and metastasis.

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References

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

    Article  CAS  PubMed  Google Scholar 

  2. Kim, M. Y. et al. Tumor self-seeding by circulating cancer cells. Cell 139, 1315–1326 (2009).

    Article  PubMed  PubMed Central  Google Scholar 

  3. Bombonati, A. & Sgroi, D. C. The molecular pathology of breast cancer progression. J. Pathol. 223, 307–317 (2011).

    Article  CAS  PubMed  Google Scholar 

  4. Hanahan, D. & Weinberg, R. A. Hallmarks of cancer: the next generation. Cell 144, 646–674 (2011).

    CAS  PubMed  Google Scholar 

  5. Png, K. J. et al. MicroRNA-335 inhibits tumor reinitiation and is silenced through genetic and epigenetic mechanisms in human breast cancer. Genes Dev. 25, 226–231 (2011).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  6. Garber, J. E. & Offit, K. Hereditary cancer predisposition syndromes. J. Clin. Oncol. 23, 276–292 (2005).

    Article  PubMed  Google Scholar 

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

    Article  PubMed  Google Scholar 

  8. Alowami, S., Troup, S., Al-Haddad, S., Kirkpatrick, I. & Watson, P. H. Mammographic density is related to stroma and stromal proteoglycan expression. Breast Cancer Res. 5, R129–R135 (2003).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  9. Milanese, T. R. et al. Age-related lobular involution and risk of breast cancer. J. Natl Cancer Inst. 98, 1600–1607 (2006).

    Article  PubMed  Google Scholar 

  10. Radisky, D. C. & Hartmann, L. C. Mammary involution and breast cancer risk: transgenic models and clinical studies. J. Mammary Gland Biol. Neoplasia 14, 181–191 (2009).

    Article  PubMed  PubMed Central  Google Scholar 

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

    Article  PubMed  PubMed Central  Google Scholar 

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

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  13. Ariel, I. M. 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 (1979).

    Article  CAS  PubMed  Google Scholar 

  14. Schoppmann, S. F. et al. Prognostic value of lymphangiogenesis and lymphovascular invasion in invasive breast cancer. Ann. Surg. 240, 306–312 (2004).

    Article  PubMed  PubMed Central  Google Scholar 

  15. Shapiro, D. M. & Fugmann, R. A. A role for chemotherapy as an adjunct to surgery. Cancer Res. 17, 1098–1101 (1957).

    CAS  PubMed  Google Scholar 

  16. Fisher, B. Biological and clinical considerations regarding the use of surgery and chemotherapy in the treatment of primary breast cancer. Cancer 40 (Suppl.), 574–587 (1977).

    Article  CAS  PubMed  Google Scholar 

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

    Article  PubMed  Google Scholar 

  18. McArthur, H. L. & Hudis, C. A. Breast cancer chemotherapy. Cancer J. 13, 141–147 (2007).

    Article  CAS  PubMed  Google Scholar 

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

    Article  PubMed  Google Scholar 

  20. Hellman, S. Karnofsky Memorial Lecture. Natural history of small breast cancers. J. Clin. Oncol. 12, 2229–2234 (1994).

    Article  CAS  PubMed  Google Scholar 

  21. Clarke, M. et al. 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, 2087–2106 (2005).

    Article  CAS  PubMed  Google Scholar 

  22. Holland, R., Veling, S. H., Mravunac, M. & Hendriks, J. H. Histologic multifocality of Tis, T1–2 breast carcinomas. Implications for clinical trials of breast-conserving surgery. Cancer 56, 979–990 (1985).

    Article  CAS  PubMed  Google Scholar 

  23. Punglia, R. S., Morrow, M., Winer, E. P. & Harris, J. R. Local therapy and survival in breast cancer. N. Engl. J. Med. 356, 2399–2405 (2007).

    Article  CAS  PubMed  Google Scholar 

  24. Giuliano, A. E. et al. Axillary dissection vs no axillary dissection in women with invasive breast cancer and sentinel node metastasis: a randomized clinical trial. JAMA 305, 569–575 (2011).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  25. Dawood, S., Broglio, K., Ensor, J., Hortobagyi, G. N. & Giordano, S. H. Survival differences among women with de novo stage IV and relapsed breast cancer. Ann Oncol. 21, 2169–2174 (2010).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  26. van't Veer, L. J., Paik, S. & Hayes, D. F. Gene expression profiling of breast cancer: a new tumor marker. J. Clin. Oncol. 23, 1631–1635 (2005).

    Article  CAS  PubMed  Google Scholar 

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

    Article  CAS  PubMed  Google Scholar 

  28. Liu, H. et al. Cancer stem cells from human breast tumors are involved in spontaneous metastases in orthotopic mouse models. Proc. Natl Acad. Sci. USA 107, 18115–18120 (2010).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  29. Wicha, M. S., Liu, S. & Dontu, G. Cancer stem cells: an old idea–a paradigm shift. Cancer Res. 66, 1883–1890 (2006).

    Article  CAS  PubMed  Google Scholar 

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

    CAS  PubMed  Google Scholar 

  31. Gompertz, B. 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 115, 513–583 (1825).

    Article  Google Scholar 

  32. Norton, L. A Gompertzian model of human breast cancer growth. Cancer Res. 48, 7067–7071 (1988).

    CAS  PubMed  Google Scholar 

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

    Article  PubMed  Google Scholar 

  34. Citron, M. L. et al. Randomized trial of dose-dense versus conventionally scheduled and sequential versus concurrent combination chemotherapy as postoperative adjuvant treatment of node-positive primary breast cancer: first report of Intergroup Trial C9741/Cancer and Leukemia Group B Trial 9741. J. Clin. Oncol. 21, 1431–1439 (2003).

    Article  CAS  PubMed  Google Scholar 

  35. Francis, P. et al. Adjuvant chemotherapy with sequential or concurrent anthracycline and docetaxel: Breast International Group 02–98 randomized trial. J. Natl Cancer Inst. 100, 121–133 (2008).

    Article  CAS  PubMed  Google Scholar 

  36. Held, G., Schubert, J., Reiser, M. & Pfreundschuh, M. Dose-intensified treatment of advanced-stage diffuse large B-cell lymphomas. Semin. Hematol. 43, 221–229 (2006).

    Article  CAS  PubMed  Google Scholar 

  37. Tsukamoto, A. S. et al. Expression of the int-1 gene in transgenic mice is associated with mammary gland hyperplasia and adenocarcinomas in male and female mice. Cell 55, 619–625 (1988).

    Article  CAS  PubMed  Google Scholar 

  38. Bertucci, F. et al. Gene expression profiling for molecular characterization of inflammatory breast cancer and prediction of response to chemotherapy. Cancer Res. 64, 8558–8565 (2004).

    Article  CAS  PubMed  Google Scholar 

  39. Smerage, J. B. & Hayes, D. F. The prognostic implications of circulating tumor cells in patients with breast cancer. Cancer Invest. 26, 109–114 (2008).

    Article  PubMed  Google Scholar 

  40. LaBarge, M. A., Petersen, O. W. & Bissell, M. J. Of microenvironments and mammary stem cells. Stem Cell Rev. 3, 137–146 (2007).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  41. Mani, S. A. et al. The epithelial-mesenchymal transition generates cells with properties of stem cells. Cell 133, 704–715 (2008).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  42. Gocheva, V. et al. IL-4 induces cathepsin protease activity in tumor-associated macrophages to promote cancer growth and invasion. Genes Dev. 24, 241–255 (2010).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  43. Jain, R. K. Lessons from multidisciplinary translational trials on anti-angiogenic therapy of cancer. Nat. Rev. Cancer 8, 309–316 (2008).

    Article  CAS  PubMed  Google Scholar 

  44. Dang, C., Gilewski, T. A., Surbone, A. & Norton, L. in Holland-Frei Cancer Medicine 6th edn Ch. 43, 645–668 (eds Kufe, D. W. et al., BC Decker, Hamilton, 2003).

    Google Scholar 

  45. Minn, A. J. et al. Lung metastasis genes couple breast tumor size and metastatic spread. Proc. Natl Acad. Sci. USA 104, 6740–6745 (2007).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  46. Bos, P. D. et al. Genes that mediate breast cancer metastasis to the brain. Nature 459, 1005–1009 (2009).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

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

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  48. Norton, L. Conceptual and practical implications of breast tissue geometry: toward a more effective, less toxic therapy. Oncologist 10, 370–381 (2005).

    Article  CAS  PubMed  Google Scholar 

  49. Carmeliet, P, & Jain, R. K. Angiogenesis in cancer and other diseases. Nature 407, 249–257 (2000).

    Article  CAS  PubMed  Google Scholar 

  50. Rafii, S., Avecilla, S. T. & Jin, D. K. Tumor vasculature address book: identification of stage-specific tumor vessel zip codes by phage display. Cancer Cell 4, 331–333 (2003).

    Article  CAS  PubMed  Google Scholar 

  51. Braakhuis, B. J., Tabor, M. P., Kummer, J. A., Leemans, C. R. & Brakenhoff, R. H. A genetic explanation of Slaughter's concept of field cancerization: evidence and clinical implications. Cancer Res. 63, 1727–1730 (2003).

    CAS  PubMed  Google Scholar 

  52. Moelans, C. B., de Weger, R. A., Monsuur, H. N., Maes, A. H. & van Diest, P. J. Molecular differences between ductal carcinoma in situ and adjacent invasive breast carcinoma: a multiplex ligation-dependent probe amplification study. Anal. Cell Pathol. (Amst.) 33, 165–173 (2010).

    Article  CAS  Google Scholar 

  53. Provenzano, P. P. et al. Collagen density promotes mammary tumor initiation and progression. BMC Med. 6, 11 (2008).

    Article  PubMed  PubMed Central  Google Scholar 

  54. Nguyen, D. X., Bos, P. D. & Massagué, J . Metastasis: from dissemination to organ-specific colonization. Nat. Rev. Cancer 9, 274–284 (2009).

    Article  CAS  PubMed  Google Scholar 

  55. Zhang, X. H. et al. Latent bone metastasis in breast cancer tied to Src-dependent survival signals. Cancer Cell 16, 67–78 (2009).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  56. Cenkowski, M. et al. Tumor-to-tumor metastasis: report of a case of renal cell carcinoma metastasizing to a pancreatic endocrine neoplasm. J. Clin. Oncol. 29, e303–304 (2011).

    Article  PubMed  Google Scholar 

  57. Bloom, H. J. & Richardson, W. W. 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, 359–377 (1957).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  58. Demicheli, R. et al. Breast cancer recurrence dynamics following adjuvant CMF is consistent with tumor dormancy and mastectomy-driven acceleration of the metastatic process. Ann. Oncol. 16, 1449–1457 (2005).

    Article  CAS  PubMed  Google Scholar 

  59. Jones, R. G. & Thompson, C. B. Tumor suppressors and cell metabolism: a recipe for cancer growth. Genes Dev. 23, 537–548 (2009).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  60. Chiosis, G. et al. Development of purine-scaffold small molecule inhibitors of Hsp90. Curr. Cancer Drug Targets 30, 371–376 (2003).

    Article  Google Scholar 

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

    Article  CAS  PubMed  Google Scholar 

  62. Lewis, J. J., Leung, D., Espat, J., Woodruff, J. M. & Brennan, M. F. Effect of reresection in extremity soft tissue sarcoma. Ann. Surg. 231, 655–663 (2000).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  63. Peggs, K. S., Quezada, S. A., Korman, A. J. & Allison, J. P. Principles and use of anti-CTLA4 antibody in human cancer immunotherapy. Curr. Opin. Immunol. 18, 206–213 (2006).

    Article  CAS  PubMed  Google Scholar 

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Contributions

E. Comen and L. Norton both contributed to the writing of this manuscript. E. Comen, L. Norton and J. Massagué contributed equally to researching the data for this article, discussion of the content and reviewing and edited the manuscript before submission and during the editing process.

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Correspondence to Larry Norton.

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Comen, E., Norton, L. & Massagué, J. Clinical implications of cancer self-seeding. Nat Rev Clin Oncol 8, 369–377 (2011). https://doi.org/10.1038/nrclinonc.2011.64

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