Evolution of placental invasion and cancer metastasis are causally linked
Among mammals, placental invasion is correlated with vulnerability to malignancy. Animals with more invasive placentation (for example, humans) are more vulnerable to malignancy. To explain this correlation, we propose the hypothesis of ‘Evolved Levels of Invasibility’ proposing that the evolution o...
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Published in | Nature ecology & evolution Vol. 3; no. 12; pp. 1743 - 1753 |
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Main Authors | , , , , , , , , , , , , , , , |
Format | Journal Article |
Language | English |
Published |
London
Nature Publishing Group UK
01.12.2019
Nature Publishing Group |
Subjects | |
Online Access | Get full text |
ISSN | 2397-334X 2397-334X |
DOI | 10.1038/s41559-019-1046-4 |
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Summary: | Among mammals, placental invasion is correlated with vulnerability to malignancy. Animals with more invasive placentation (for example, humans) are more vulnerable to malignancy. To explain this correlation, we propose the hypothesis of ‘Evolved Levels of Invasibility’ proposing that the evolution of invasibility of stromal tissue affects both placental and cancer invasion. We provide evidence for this using an in vitro model. We find that bovine endometrial and skin fibroblasts are more resistant to invasion than are their human counterparts. Gene expression profiling identified genes with high expression in human but not in bovine fibroblasts. Knocking down a subset of them in human fibroblasts leads to stronger resistance to cancer cell invasion. Identifying the evolutionary determinants of stromal invasibility can provide important insights to develop rational antimetastatic therapeutics.
Mammals with invasive placentation are more vulnerable to malignancy. Here, the authors propose that the evolution of invasibility of stromal tissue affects both placental and cancer invasion and present in vitro evidence in human and bovine fibroblasts consistent with this hypothesis. |
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Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 content type line 23 Data Curation: Kshitiz Kz, Jamie Maziarz, Cong Liang Investigation: Kshitiz Kz, Eric Erkenbrack, Jamie Mazisarz, Archer Hamidzadeh Funding Acquisition: Andre Levchenko, Günter Wagner Conceptualization: Günter Wagner, Andre Levchenko Formal Analysis: Kshitiz Kz, Cong Liang, Günter Wagner Validation: Kshitiz Kz, Eric Erkenbrack, Günter Wagner Visualization: Kshitiz Kz, Cong Liang Supervision: Günter Wagner, Andre Levchenko Resources: Jan-Dirk Haeger, Christiane Pfarrer, Thomas Hoang, Troy Ott, Thomas Spencer, Mihaela Pavlicev, Douglas F. Antczak Project Admininstration: Andre Levchenko, Günter Wagner Writing – review & editing: all authors Methodology: Kshitiz Kz, Hong Nam Writing – original draft: Kshitiz Kz, Günter Wagner, Andre Levchenko Author Contributions Software: Cong Liang |
ISSN: | 2397-334X 2397-334X |
DOI: | 10.1038/s41559-019-1046-4 |