2026-05-21T23:03:43Zhttps://repisalud.isciii.es/rest/oai/requestoai:repisalud.isciii.es:20.500.12105/114192024-11-29T15:19:34Zcom_20.500.12105_2173com_20.500.12105_2051col_20.500.12105_19597
Repisalud
author
Ibáñez, Kristina
author
Boullosa, César
author
Tabarés-Seisdedos, Rafael
author
Baudot, Anaïs
author
Valencia, Alfonso
funder
Fundación La Caixa
funder
Ministerio de Economía y Competitividad (España)
2020-11-25T10:19:29Z
2020-11-25T10:19:29Z
2014-02
PLoS Genet .2014;10(2):e1004173.
10.1371/journal.pgen.1004173
PLoS genetics
24586201
http://hdl.handle.net/20.500.12105/11419
There is epidemiological evidence that patients with certain Central Nervous System (CNS) disorders have a lower than expected probability of developing some types of Cancer. We tested here the hypothesis that this inverse comorbidity is driven by molecular processes common to CNS disorders and Cancers, and that are deregulated in opposite directions. We conducted transcriptomic meta-analyses of three CNS disorders (Alzheimer's disease, Parkinson's disease and Schizophrenia) and three Cancer types (Lung, Prostate, Colorectal) previously described with inverse comorbidities. A significant overlap was observed between the genes upregulated in CNS disorders and downregulated in Cancers, as well as between the genes downregulated in CNS disorders and upregulated in Cancers. We also observed expression deregulations in opposite directions at the level of pathways. Our analysis points to specific genes and pathways, the upregulation of which could increase the incidence of CNS disorders and simultaneously lower the risk of developing Cancer, while the downregulation of another set of genes and pathways could contribute to a decrease in the incidence of CNS disorders while increasing the Cancer risk. These results reinforce the previously proposed involvement of the PIN1 gene, Wnt and P53 pathways, and reveal potential new candidates, in particular related with protein degradation processes.
eng
Molecular evidence for the inverse comorbidity between central nervous system disorders and cancers detected by transcriptomic meta-analyses.
journal article
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