Phylogenetic analysis of metastatic progression in breast cancer using somatic mutations and copy number aberrations

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作者
David Brown
Dominiek Smeets
Borbála Székely
Denis Larsimont
A. Marcell Szász
Pierre-Yves Adnet
Françoise Rothé
Ghizlane Rouas
Zsófia I. Nagy
Zsófia Faragó
Anna-Mária Tőkés
Magdolna Dank
Gyöngyvér Szentmártoni
Nóra Udvarhelyi
Gabriele Zoppoli
Lajos Pusztai
Martine Piccart
Janina Kulka
Diether Lambrechts
Christos Sotiriou
Christine Desmedt
机构
[1] Breast Cancer Translational Research Laboratory,Department of Oncology
[2] Institut Jules Bordet,Second Department of Pathology
[3] Université Libre de Bruxelles,Department of Pathology
[4] Laboratory of Translational Genetics,2nd Department of Pathology
[5] Vesalius Research Center,Department of Medical Oncology
[6] VIB,undefined
[7] Laboratory of Translational Genetics,undefined
[8] Katholieke Universiteit Leuven,undefined
[9] Semmelweis University,undefined
[10] Institut Jules Bordet,undefined
[11] MTA-SE Tumor Progression Research Group,undefined
[12] Semmelweis University,undefined
[13] Semmelweis University Cancer Center,undefined
[14] Semmelweis University,undefined
[15] Surgical and Molecular Tumor Pathology Centre,undefined
[16] National Institute of Oncology,undefined
[17] University of Genova and Istituto di Cura a Carattere Clinico e Scientifico Azienda Ospedaliera Universitaria San Martino—Instituto Nazionale Tumori,undefined
[18] Yale University,undefined
[19] Institut Jules Bordet,undefined
[20] Université Libre de Bruxelles,undefined
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摘要
Several studies using genome-wide molecular techniques have reported various degrees of genetic heterogeneity between primary tumours and their distant metastases. However, it has been difficult to discern patterns of dissemination owing to the limited number of patients and available metastases. Here, we use phylogenetic techniques on data generated using whole-exome sequencing and copy number profiling of primary and multiple-matched metastatic tumours from ten autopsied patients to infer the evolutionary history of breast cancer progression. We observed two modes of disease progression. In some patients, all distant metastases cluster on a branch separate from their primary lesion. Clonal frequency analyses of somatic mutations show that the metastases have a monoclonal origin and descend from a common ‘metastatic precursor’. Alternatively, multiple metastatic lesions are seeded from different clones present within the primary tumour. We further show that a metastasis can be horizontally cross-seeded. These findings provide insights into breast cancer dissemination.
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