Lymph node metastases develop through a wider evolutionary bottleneck than distant metastases
Genetic diversity among metastases is poorly understood but contains important information about disease evolution at secondary sites. Here we investigate inter- and intra-lesion heterogeneity for two types of metastases that associate with different clinical outcomes: lymph node and distant organ m...
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Published in | Nature genetics Vol. 52; no. 7; pp. 692 - 700 |
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Main Authors | , , , , , , , , , , , , , , , |
Format | Journal Article |
Language | English |
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New York
Nature Publishing Group US
01.07.2020
Nature Publishing Group |
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Abstract | Genetic diversity among metastases is poorly understood but contains important information about disease evolution at secondary sites. Here we investigate inter- and intra-lesion heterogeneity for two types of metastases that associate with different clinical outcomes: lymph node and distant organ metastases in human colorectal cancer. We develop a rigorous mathematical framework for quantifying metastatic phylogenetic diversity. Distant metastases are typically monophyletic and genetically similar to each other. Lymph node metastases, in contrast, display high levels of inter-lesion diversity. We validate these findings by analyzing 317 multi-region biopsies from an independent cohort of 20 patients. We further demonstrate higher levels of intra-lesion heterogeneity in lymph node than in distant metastases. Our results show that fewer primary tumor lineages seed distant metastases than lymph node metastases, indicating that the two sites are subject to different levels of selection. Thus, lymph node and distant metastases develop through fundamentally different evolutionary mechanisms.
Analysis of metastases using a mathematical framework and multi-region sampling data shows that lymph node metastases have higher levels of intratumor heterogeneity than distant metastases, and that these form via different evolutionary mechanisms. |
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AbstractList | Genetic diversity among metastases is poorly understood but contains important information about disease evolution at secondary sites. Here we investigate inter- and intra-lesion heterogeneity for two types of metastases that associate with different clinical outcomes: lymph node and distant organ metastases in human colorectal cancer. We develop a rigorous mathematical framework for quantifying metastatic phylogenetic diversity. Distant metastases are typically monophyletic and genetically similar to each other. Lymph node metastases, in contrast, display high levels of inter-lesion diversity. We validate these findings by analyzing 317 multi-region biopsies from an independent cohort of 20 patients. We further demonstrate higher levels of intra-lesion heterogeneity in lymph node than in distant metastases. Our results show that fewer primary tumor lineages seed distant metastases than lymph node metastases, indicating that the two sites are subject to different levels of selection. Thus, lymph node and distant metastases develop through fundamentally different evolutionary mechanisms. Genetic diversity among metastases is poorly understood but contains important information about disease evolution at secondary sites. Here we investigate inter- and intra-lesion heterogeneity for two types of metastases that associate with different clinical outcomes: lymph node and distant organ metastases in human colorectal cancer. We develop a rigorous mathematical framework for quantifying metastatic phylogenetic diversity. Distant metastases are typically monophyletic and genetically similar to each other. Lymph node metastases, in contrast, display high levels of inter-lesion diversity. We validate these findings by analyzing 317 multi-region biopsies from an independent cohort of 20 patients. We further demonstrate higher levels of intra-lesion heterogeneity in lymph node than in distant metastases. Our results show that fewer primary tumor lineages seed distant metastases than lymph node metastases, indicating that the two sites are subject to different levels of selection. Thus, lymph node and distant metastases develop through fundamentally different evolutionary mechanisms.Genetic diversity among metastases is poorly understood but contains important information about disease evolution at secondary sites. Here we investigate inter- and intra-lesion heterogeneity for two types of metastases that associate with different clinical outcomes: lymph node and distant organ metastases in human colorectal cancer. We develop a rigorous mathematical framework for quantifying metastatic phylogenetic diversity. Distant metastases are typically monophyletic and genetically similar to each other. Lymph node metastases, in contrast, display high levels of inter-lesion diversity. We validate these findings by analyzing 317 multi-region biopsies from an independent cohort of 20 patients. We further demonstrate higher levels of intra-lesion heterogeneity in lymph node than in distant metastases. Our results show that fewer primary tumor lineages seed distant metastases than lymph node metastases, indicating that the two sites are subject to different levels of selection. Thus, lymph node and distant metastases develop through fundamentally different evolutionary mechanisms. Genetic diversity among metastases is poorly understood but contains important information about disease evolution at secondary sites. Here we investigate inter- and intra-lesion heterogeneity for two types of metastases that associate with different clinical outcomes: lymph node and distant organ metastases in human colorectal cancer. We develop a rigorous mathematical framework for quantifying metastatic phylogenetic diversity. Distant metastases are typically monophyletic and genetically similar to each other. Lymph node metastases, in contrast, display high levels of inter-lesion diversity. We validate these findings by analyzing 317 multi-region biopsies from an independent cohort of 20 patients. We further demonstrate higher levels of intra-lesion heterogeneity in lymph node than in distant metastases. Our results show that fewer primary tumor lineages seed distant metastases than lymph node metastases, indicating that the two sites are subject to different levels of selection. Thus, lymph node and distant metastases develop through fundamentally different evolutionary mechanisms. Analysis of metastases using a mathematical framework and multi-region sampling data shows that lymph node metastases have higher levels of intratumor heterogeneity than distant metastases, and that these form via different evolutionary mechanisms. Genetic diversity among metastases is poorly understood but contains important information about disease evolution at secondary sites. Here we investigate inter- and intra-lesion heterogeneity for two types of metastases that associate with different clinical outcomes: lymph node and distant organ metastases in human colorectal cancer. We develop a rigorous mathematical framework for quantifying metastatic phylogenetic diversity. Distant metastases are typically monophyletic and genetically similar to each other. Lymph node metastases, in contrast, display high levels of inter-lesion diversity. We validate these findings by analyzing 317 multi-region biopsies from an independent cohort of 20 patients. We further demonstrate higher levels of intra-lesion heterogeneity in lymph node than in distant metastases. Our results show that fewer primary tumor lineages seed distant metastases than lymph node metastases, indicating that the two sites are subject to different levels of selection. Thus, lymph node and distant metastases develop through fundamentally different evolutionary mechanisms. Analysis of metastases using a mathematical framework and multi-region sampling data shows that lymph node metastases have higher levels of intratumor heterogeneity than distant metastases, and that these form via different evolutionary mechanisms. |
Audience | Academic |
Author | Liu, Gang Taylor, Martin S. Farahani, Alexander A. Hung, Wei-Ting Naxerova, Kamila Wassenaar, Emma C. E. Jeck, William R. Nagpal, Shriya Giunta, Peter Reiter, Johannes G. Marble, Hetal D. Knott, Simon Kranenburg, Onno Lee, I-Hsiu Lennerz, Jochen K. Degner, Sebastian |
AuthorAffiliation | 10 Department of Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, California, USA 11 Division of Cancer and Imaging, University Medical Center Utrecht, Utrecht, Netherlands 8 Department of Pathology, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA 1 Canary Center for Cancer Early Detection, Department of Radiology, Stanford University School of Medicine, Palo Alto, California, USA 5 Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, USA 4 Center for Systems Biology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, USA 7 Department of Surgery, St. Antonius Hospital, Nieuwegein, Netherlands 6 Center for Applied Mathematics, Cornell University, Ithaca, New York, USA 2 Stanford Cancer Institute, Stanford University School of Medicine, Palo Alto, California, USA 9 Center for Integrated Diagnostics, Massachusetts General Hospital and Harvard Medical School, Boston, M |
AuthorAffiliation_xml | – name: 8 Department of Pathology, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA – name: 4 Center for Systems Biology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, USA – name: 5 Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, USA – name: 2 Stanford Cancer Institute, Stanford University School of Medicine, Palo Alto, California, USA – name: 1 Canary Center for Cancer Early Detection, Department of Radiology, Stanford University School of Medicine, Palo Alto, California, USA – name: 9 Center for Integrated Diagnostics, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA – name: 6 Center for Applied Mathematics, Cornell University, Ithaca, New York, USA – name: 11 Division of Cancer and Imaging, University Medical Center Utrecht, Utrecht, Netherlands – name: 3 Department of Biomedical Data Science, Stanford University School of Medicine, Palo Alto, California, USA – name: 7 Department of Surgery, St. Antonius Hospital, Nieuwegein, Netherlands – name: 10 Department of Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, California, USA |
Author_xml | – sequence: 1 givenname: Johannes G. orcidid: 0000-0002-0170-7353 surname: Reiter fullname: Reiter, Johannes G. email: johannes.reiter@stanford.edu organization: Canary Center for Cancer Early Detection, Department of Radiology, Stanford University School of Medicine, Stanford Cancer Institute, Stanford University School of Medicine, Department of Biomedical Data Science, Stanford University School of Medicine – sequence: 2 givenname: Wei-Ting surname: Hung fullname: Hung, Wei-Ting organization: Center for Systems Biology, Massachusetts General Hospital and Harvard Medical School, Department of Radiology, Massachusetts General Hospital and Harvard Medical School – sequence: 3 givenname: I-Hsiu orcidid: 0000-0001-7200-7867 surname: Lee fullname: Lee, I-Hsiu organization: Center for Systems Biology, Massachusetts General Hospital and Harvard Medical School, Department of Radiology, Massachusetts General Hospital and Harvard Medical School – sequence: 4 givenname: Shriya surname: Nagpal fullname: Nagpal, Shriya organization: Canary Center for Cancer Early Detection, Department of Radiology, Stanford University School of Medicine, Center for Applied Mathematics, Cornell University – sequence: 5 givenname: Peter surname: Giunta fullname: Giunta, Peter organization: Center for Systems Biology, Massachusetts General Hospital and Harvard Medical School, Department of Radiology, Massachusetts General Hospital and Harvard Medical School – sequence: 6 givenname: Sebastian surname: Degner fullname: Degner, Sebastian organization: Center for Systems Biology, Massachusetts General Hospital and Harvard Medical School, Department of Radiology, Massachusetts General Hospital and Harvard Medical School – sequence: 7 givenname: Gang surname: Liu fullname: Liu, Gang organization: Center for Systems Biology, Massachusetts General Hospital and Harvard Medical School, Department of Radiology, Massachusetts General Hospital and Harvard Medical School – sequence: 8 givenname: Emma C. E. surname: Wassenaar fullname: Wassenaar, Emma C. E. organization: Center for Systems Biology, Massachusetts General Hospital and Harvard Medical School, Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Department of Surgery, St Antonius Hospital – sequence: 9 givenname: William R. orcidid: 0000-0003-0257-4529 surname: Jeck fullname: Jeck, William R. organization: Department of Pathology, Massachusetts General Hospital and Harvard Medical School, Center for Integrated Diagnostics, Massachusetts General Hospital and Harvard Medical School – sequence: 10 givenname: Martin S. surname: Taylor fullname: Taylor, Martin S. organization: Department of Pathology, Massachusetts General Hospital and Harvard Medical School, Center for Integrated Diagnostics, Massachusetts General Hospital and Harvard Medical School – sequence: 11 givenname: Alexander A. orcidid: 0000-0002-0977-530X surname: Farahani fullname: Farahani, Alexander A. organization: Department of Pathology, Massachusetts General Hospital and Harvard Medical School, Center for Integrated Diagnostics, Massachusetts General Hospital and Harvard Medical School – sequence: 12 givenname: Hetal D. surname: Marble fullname: Marble, Hetal D. organization: Department of Pathology, Massachusetts General Hospital and Harvard Medical School, Center for Integrated Diagnostics, Massachusetts General Hospital and Harvard Medical School – sequence: 13 givenname: Simon surname: Knott fullname: Knott, Simon organization: Department of Biomedical Sciences, Cedars-Sinai Medical Center – sequence: 14 givenname: Onno orcidid: 0000-0002-2112-4390 surname: Kranenburg fullname: Kranenburg, Onno organization: Division of Cancer and Imaging, University Medical Center Utrecht – sequence: 15 givenname: Jochen K. surname: Lennerz fullname: Lennerz, Jochen K. organization: Department of Pathology, Massachusetts General Hospital and Harvard Medical School, Center for Integrated Diagnostics, Massachusetts General Hospital and Harvard Medical School – sequence: 16 givenname: Kamila orcidid: 0000-0001-7744-5110 surname: Naxerova fullname: Naxerova, Kamila email: naxerova.kamila@mgh.harvard.edu organization: Center for Systems Biology, Massachusetts General Hospital and Harvard Medical School, Department of Radiology, Massachusetts General Hospital and Harvard Medical School |
BackLink | https://www.ncbi.nlm.nih.gov/pubmed/32451459$$D View this record in MEDLINE/PubMed |
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Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 content type line 23 Author contributions. J.G.R, K.N., W.H., P.G., G.L., I.L., S.D., E.W. analyzed data. J.G.R and S.N. developed the mathematical framework. W.H., P.G., G.L. performed experiments. W.R.J., M.S.T., A.A.F., H.D.M. and J.K.L. obtained and reviewed clinical samples and clinical data. S.K. and O.K. contributed to data interpretation. K.N. and J.G.R. designed the study. K.N., J.G.R and W.H. wrote the manuscript with input from all authors. contributed equally |
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Snippet | Genetic diversity among metastases is poorly understood but contains important information about disease evolution at secondary sites. Here we investigate... |
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SubjectTerms | 45/77 631/208 631/67/322 Agriculture Animal Genetics and Genomics Biological diversity Biomedical and Life Sciences Biomedicine Biopsy Cancer Research Cohort Studies Colorectal cancer Colorectal carcinoma Colorectal Neoplasms - genetics Colorectal Neoplasms - pathology Disease Progression Evolution Gene Function Genetic diversity Genetic Heterogeneity Genetic Variation Heterogeneity Human Genetics Humans Lesions Liver Lymph nodes Lymphatic Metastasis - genetics Lymphatic system Mastectomy Metastases Metastasis Models, Biological Neoplasm Metastasis - genetics Neoplasm Seeding Patients Phylogenetics Phylogeny Trees Tumors |
Title | Lymph node metastases develop through a wider evolutionary bottleneck than distant metastases |
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