2017
DOI: 10.1073/pnas.1617743114
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Altered interactions between unicellular and multicellular genes drive hallmarks of transformation in a diverse range of solid tumors

Abstract: Tumors of distinct tissues of origin and genetic makeup display common hallmark cellular phenotypes, including sustained proliferation, suppression of cell death, and altered metabolism. These phenotypic commonalities have been proposed to stem from disruption of conserved regulatory mechanisms evolved during the transition to multicellularity to control fundamental cellular processes such as growth and replication. Dating the evolutionary emergence of human genes through phylostratigraphy uncovered close asso… Show more

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Cited by 178 publications
(254 citation statements)
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“…Although increased expression of UC genes seems to be a general phenomenon, specific up-regulation depends on the function of the associated processes, suggesting One prediction from this theory is that cancer will overexpress genes and processes with a UC origin, while simultaneously underexpressing the MC pathways that promote cellular cooperation for the good of the organism. This prediction is confirmed in the analysis of Trigos et al (9). that cancer atavism is not a haphazard affair but an ancient choreography of correlated gene expression.…”
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“…Although increased expression of UC genes seems to be a general phenomenon, specific up-regulation depends on the function of the associated processes, suggesting One prediction from this theory is that cancer will overexpress genes and processes with a UC origin, while simultaneously underexpressing the MC pathways that promote cellular cooperation for the good of the organism. This prediction is confirmed in the analysis of Trigos et al (9). that cancer atavism is not a haphazard affair but an ancient choreography of correlated gene expression.…”
mentioning
(Expert classified)
“…Trigos et al (9) studied gene expression in seven types of solid tumors and investigated the corresponding gene ages using a method known as phylostratigraphy (10,11). Specifically, the authors (9) assigned genes to one of 16 phylostrata and then compared gene expression in tumors with that in normal tissue.…”
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confidence: 99%
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