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Genomic landscapes of breast fibroepithelial tumors

Abstract

Breast fibroepithelial tumors comprise a heterogeneous spectrum of pathological entities, from benign fibroadenomas to malignant phyllodes tumors1. Although MED12 mutations have been frequently found in fibroadenomas and phyllodes tumors2,3,4,5,6,7, the landscapes of genetic alterations across the fibroepithelial tumor spectrum remain unclear. Here, by performing exome sequencing of 22 phyllodes tumors followed by targeted sequencing of 100 breast fibroepithelial tumors, we observed three distinct somatic mutation patterns. First, we frequently observed MED12 and RARA mutations in both fibroadenomas and phyllodes tumors, emphasizing the importance of these mutations in fibroepithelial tumorigenesis. Second, phyllodes tumors exhibited mutations in FLNA, SETD2 and KMT2D, suggesting a role in driving phyllodes tumor development. Third, borderline and malignant phyllodes tumors harbored additional mutations in cancer-associated genes. RARA mutations exhibited clustering in the portion of the gene encoding the ligand-binding domain, functionally suppressed RARA-mediated transcriptional activation and enhanced RARA interactions with transcriptional co-repressors. This study provides insights into the molecular pathogenesis of breast fibroepithelial tumors, with potential clinical implications.

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Figure 1: Genomic landscapes of breast fibroepithelial tumors.
Figure 2: Recurrent alterations in MED12, RARA, FLNA, SETD2 and KMT2D.
Figure 3: Functional studies of recurrent RARA alterations.
Figure 4: Genetic alterations and histological review of sample 004.

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References

  1. Lakhani, S., Ellis, I., Schnitt, S., Tan, P. & Van de Vijver, M. World Health Organisation Classification of Tumors of the Breast vol. 4, 142–147 (International Agency for Research on Cancer, 2012).

  2. Lim, W.K. et al. Exome sequencing identifies highly recurrent MED12 somatic mutations in breast fibroadenoma. Nat. Genet. 46, 877–880 (2014).

    Article  CAS  PubMed  Google Scholar 

  3. Nagasawa, S. et al. MED12 exon 2 mutations in phyllodes tumors of the breast. Cancer Med. 4, 1117–1121 (2015).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  4. Piscuoglio, S. et al. MED12 somatic mutations in fibroadenomas and phyllodes tumours of the breast. Histopathology 10.1111/his.12712 (8 April 2015).

  5. Yoshida, M. et al. Frequent MED12 mutations in phyllodes tumours of the breast. Br. J. Cancer 112, 1703–1708 (2015).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  6. Lien, H.C., Huang, C.S., Yang, Y.W. & Jeng, Y.M. Mutational analysis of MED12 exon 2 in a spectrum of fibroepithelial tumours of the breast: implications for pathogenesis and histogenesis. Histopathology 10.1111/his.12764 (25 June 2015).

  7. Ng, C.C. et al. MED12 is frequently mutated in breast phyllodes tumours: a study of 112 cases. J. Clin. Pathol. 68, 685–691 (2015).

    Article  CAS  PubMed  Google Scholar 

  8. Tan, P.H. et al. Phyllodes tumors of the breast: the role of pathologic parameters. Am. J. Clin. Pathol. 123, 529–540 (2005).

    Article  PubMed  Google Scholar 

  9. Krishnamurthy, S., Ashfaq, R., Shin, H.J. & Sneige, N. Distinction of phyllodes tumor from fibroadenoma: a reappraisal of an old problem. Cancer 90, 342–349 (2000).

    Article  CAS  PubMed  Google Scholar 

  10. Hodges, K.B. et al. Evidence for transformation of fibroadenoma of the breast to malignant phyllodes tumor. Appl. Immunohistochem. Mol. Morphol. 17, 345–350 (2009).

    Article  PubMed  Google Scholar 

  11. Kuijper, A. et al. Analysis of the progression of fibroepithelial tumours of the breast by PCR-based clonality assay. J. Pathol. 197, 575–581 (2002).

    Article  PubMed  Google Scholar 

  12. Noguchi, S. et al. Progression of fibroadenoma to phyllodes tumor demonstrated by clonal analysis. Cancer 76, 1779–1785 (1995).

    Article  CAS  PubMed  Google Scholar 

  13. Kasami, M. et al. Monoclonality in fibroadenomas with complex histology and phyllodal features. Breast Cancer Res. Treat. 50, 185–191 (1998).

    Article  CAS  PubMed  Google Scholar 

  14. Abe, M. et al. Malignant transformation of breast fibroadenoma to malignant phyllodes tumor: long-term outcome of 36 malignant phyllodes tumors. Breast Cancer 18, 268–272 (2011).

    Article  PubMed  Google Scholar 

  15. Cani, A.K. et al. Next-gen sequencing exposes frequent MED12 mutations and actionable therapeutic targets in phyllodes tumors. Mol. Cancer Res. 13, 613–619 (2015).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  16. Tan, W.J. et al. Novel genetic aberrations in breast phyllodes tumours: comparison between prognostically distinct groups. Breast Cancer Res. Treat. 145, 635–645 (2014).

    Article  CAS  PubMed  Google Scholar 

  17. Jones, A.M. et al. A comprehensive genetic profile of phyllodes tumours of the breast detects important mutations, intra-tumoral genetic heterogeneity and new genetic changes on recurrence. J. Pathol. 214, 533–544 (2008).

    Article  CAS  PubMed  Google Scholar 

  18. Cancer Genome Atlas Network Comprehensive molecular portraits of human breast tumours. Nature 490, 61–70 (2012).

  19. Banerji, S. et al. Sequence analysis of mutations and translocations across breast cancer subtypes. Nature 486, 405–409 (2012).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  20. Curtis, C. et al. The genomic and transcriptomic architecture of 2,000 breast tumours reveals novel subgroups. Nature 486, 346–352 (2012).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  21. Stephens, P.J. et al. The landscape of cancer genes and mutational processes in breast cancer. Nature 486, 400–404 (2012).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  22. Boeva, V. et al. Multi-factor data normalization enables the detection of copy number aberrations in amplicon sequencing data. Bioinformatics 30, 3443–3450 (2014).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  23. Boeva, V. et al. Control-FREEC: a tool for assessing copy number and allelic content using next-generation sequencing data. Bioinformatics 28, 423–425 (2012).

    Article  CAS  PubMed  Google Scholar 

  24. Miller, C.A. et al. SciClone: inferring clonal architecture and tracking the spatial and temporal patterns of tumor evolution. PLoS Comput. Biol. 10, e1003665 (2014).

    Article  PubMed  PubMed Central  Google Scholar 

  25. Mäkinen, N. et al. MED12, the mediator complex subunit 12 gene, is mutated at high frequency in uterine leiomyomas. Science 334, 252–255 (2011).

    Article  PubMed  Google Scholar 

  26. Barbieri, C.E. et al. Exome sequencing identifies recurrent SPOP, FOXA1 and MED12 mutations in prostate cancer. Nat. Genet. 44, 685–689 (2012).

    CAS  PubMed  PubMed Central  Google Scholar 

  27. Assié, G. et al. Integrated genomic characterization of adrenocortical carcinoma. Nat. Genet. 46, 607–612 (2014).

    Article  PubMed  Google Scholar 

  28. Zhu, H.H., Qin, Y.Z. & Huang, X.J. Resistance to arsenic therapy in acute promyelocytic leukemia. N. Engl. J. Med. 370, 1864–1866 (2014).

    Article  CAS  PubMed  Google Scholar 

  29. Kang, Y.K., Guermah, M., Yuan, C.X. & Roeder, R.G. The TRAP/Mediator coactivator complex interacts directly with estrogen receptors α and β through the TRAP220 subunit and directly enhances estrogen receptor function in vitro. Proc. Natl. Acad. Sci. USA 99, 2642–2647 (2002).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  30. Ross-Innes, C.S. et al. Cooperative interaction between retinoic acid receptor-α and estrogen receptor in breast cancer. Genes Dev. 24, 171–182 (2010).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  31. Savoy, R.M. & Ghosh, P.M. The dual role of filamin A in cancer: can't live with (too much of) it, can't live without it. Endocr. Relat. Cancer 20, R341–R356 (2013).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  32. Nakamura, F., Osborn, T.M., Hartemink, C.A., Hartwig, J.H. & Stossel, T.P. Structural basis of filamin A functions. J. Cell Biol. 179, 1011–1025 (2007).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  33. Zhu, X. et al. Identification of functional cooperative mutations of SETD2 in human acute leukemia. Nat. Genet. 46, 287–293 (2014).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  34. Pasqualucci, L. et al. Analysis of the coding genome of diffuse large B-cell lymphoma. Nat. Genet. 43, 830–837 (2011).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  35. Cimino-Mathews, A. et al. A subset of malignant phyllodes tumors harbors alterations in the Rb/p16 pathway. Hum. Pathol. 44, 2494–2500 (2013).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  36. Feakins, R.M., Mulcahy, H.E., Nickols, C.D. & Wells, C.A. p53 expression in phyllodes tumours is associated with histological features of malignancy but does not predict outcome. Histopathology 35, 162–169 (1999).

    Article  CAS  PubMed  Google Scholar 

  37. Millar, E.K. et al. Malignant phyllodes tumours of the breast display increased stromal p53 protein expression. Histopathology 34, 491–496 (1999).

    Article  CAS  PubMed  Google Scholar 

  38. Sawyer, E.J. et al. Molecular analysis of phyllodes tumors reveals distinct changes in the epithelial and stromal components. Am. J. Pathol. 156, 1093–1098 (2000).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  39. Jara-Lazaro, A.R. & Tan, P.H. Molecular pathogenesis of progression and recurrence in breast phyllodes tumors. Am. J. Transl. Res. 1, 23–34 (2009).

    CAS  PubMed  PubMed Central  Google Scholar 

  40. Cerami, E. et al. The cBio cancer genomics portal: an open platform for exploring multidimensional cancer genomics data. Cancer Discov. 2, 401–404 (2012).

    Article  PubMed  Google Scholar 

  41. Altucci, L. & Gronemeyer, H. The promise of retinoids to fight against cancer. Nat. Rev. Cancer 1, 181–193 (2001).

    Article  CAS  PubMed  Google Scholar 

  42. Markowski, D.N. et al. MED12 mutations in uterine fibroids—their relationship to cytogenetic subgroups. Int. J. Cancer 131, 1528–1536 (2012).

    Article  CAS  PubMed  Google Scholar 

  43. Chan-On, W. et al. Exome sequencing identifies distinct mutational patterns in liver fluke–related and non-infection–related bile duct cancers. Nat. Genet. 45, 1474–1478 (2013).

    Article  CAS  PubMed  Google Scholar 

  44. Thorvaldsdóttir, H., Robinson, J.T. & Mesirov, J.P. Integrative Genomics Viewer (IGV): high-performance genomics data visualization and exploration. Brief. Bioinform. 14, 178–192 (2013).

    Article  PubMed  Google Scholar 

  45. Saunders, C.T. et al. Strelka: accurate somatic small-variant calling from sequenced tumor-normal sample pairs. Bioinformatics 28, 1811–1817 (2012).

    Article  CAS  PubMed  Google Scholar 

  46. Sherry, S.T. et al. dbSNP: the NCBI database of genetic variation. Nucleic Acids Res. 29, 308–311 (2001).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  47. Ng, P.C. & Henikoff, S. SIFT: predicting amino acid changes that affect protein function. Nucleic Acids Res. 31, 3812–3814 (2003).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  48. Reva, B., Antipin, Y. & Sander, C. Predicting the functional impact of protein mutations: application to cancer genomics. Nucleic Acids Res. 39, e118 (2011).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  49. Choi, Y. & Chan, A.P. PROVEAN web server: a tool to predict the functional effect of amino acid substitutions and indels. Bioinformatics 31, 2745–2747 (2015).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  50. Carter, H. et al. Cancer-specific high-throughput annotation of somatic mutations: computational prediction of driver missense mutations. Cancer Res. 69, 6660–6667 (2009).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

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Acknowledgements

This work was supported in part by funding from the Singapore National Medical Research Council (NMRC/STAR/0006/2009), the Singapore National Cancer Centre Research Fund, the Lee Foundation, the Tanoto Foundation and the Verdant Foundation. We thank the Duke–National University of Singapore Genome Biology Facility for sequencing services rendered, as well as the Advanced Molecular Pathology Laboratory, Institute of Molecular and Cell Biology (IMCB), Agency for Science, Technology and Research (A*STAR), Singapore, for providing laser-capture microdissection resources and the SingHealth Tissue Repository for frozen tissue samples.

Author information

Authors and Affiliations

Authors

Contributions

J.T., C.K.O., W.K.L., S.G.R., P.T., P.H.T. and B.T.T. conceived the study. S.G.R., P.T., P.H.T. and B.T.T. directed the study and supervised the research. J.R.M., W.K.L., I.C., S.N., J.Q.L., S.T., S.D., L.M.N. and G.P. performed the bioinformatics analysis. A.A.T., N.D.M.N., T.C.P., B.S.A., P.I., C.W.C., A.P.H.T., W.S.Y., P.M., G.H.H., V.K.M.T., C.Y.W., M.H., K.W.O. and B.K.T.T. collected tumor specimens, confirmed histopathology findings and interpreted the clinical data. S.S.M. was involved in sample preparation. C.C.Y.N., V.R., Z.L., G.C.W., D.H., B.H.W. and S.T.T. performed whole-exome sequencing, Sanger sequencing and targeted sequencing. J.T., C.K.O., W.K.L., S.G.R., P.T., P.H.T. and B.T.T. wrote the manuscript, with the assistance and final approval of all authors.

Corresponding authors

Correspondence to Steven G Rozen, Patrick Tan, Puay Hoon Tan or Bin Tean Teh.

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The authors declare no competing financial interests.

Supplementary information

Supplementary Text and Figures

Supplementary Figures 1–10, Supplementary Tables 1, 2, 4, 6–8 and 10. (PDF 3810 kb)

Supplementary Table 3

List of candidate somatic mutations identified from whole-exome sequencing of 22 cases of phyllodes tumor. (XLSX 54 kb)

Supplementary Table 5

Somatic mutations detected by targeted sequencing in 100 fibroepithelial tumors. (XLSX 41 kb)

Supplementary Table 9

List of synonymous mutations identified from whole-exome sequencing of 22 cases of phyllodes tumors. (XLSX 19 kb)

Supplementary Data Set 1

Clonality analysis data. (ZIP 1005 kb)

Supplementary Data Set 2

Images of copy number variants in 100 fibroepithelial tumors. (ZIP 10622 kb)

Supplementary Data Set 3

Genome browser snapshots for candidate variants in targeted sequencing data. (ZIP 4564 kb)

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Tan, J., Ong, C., Lim, W. et al. Genomic landscapes of breast fibroepithelial tumors. Nat Genet 47, 1341–1345 (2015). https://doi.org/10.1038/ng.3409

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