Identification of 2R-ohnologue gene families displaying the same mutation-load skew in multiple cancers

Michele Tinti, Kumara Dissanayake, Silvia Synowsky, Luca Albergante, Carol Mackintosh

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    7 Citations (Scopus)
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    Abstract

    The complexity of signalling pathways was boosted at the origin of the vertebrates, when two rounds of whole genome duplication (2R-WGD) occurred. Those genes and proteins that have survived from the 2R-WGD-termed 2R-ohnologues-belong to families of two to four members, and are enriched in signalling components relevant to cancer. Here, we find that while only approximately 30% of human transcript-coding genes are 2R-ohnologues, they carry 42-60% of the gene mutations in 30 different cancer types. Across a subset of cancer datasets, including melanoma, breast, lung adenocarcinoma, liver and medulloblastoma, we identified 673 2R-ohnologue families in which one gene carries mutations at multiple positions, while sister genes in the same family are relatively mutation free. Strikingly, in 315 of the 322 2R-ohnologue families displaying such a skew in multiple cancers, the same gene carries the heaviest mutation load in each cancer, and usually the second-ranked gene is also the same in each cancer. Our findings inspire the hypothesis that in certain cancers, heterogeneous combinations of genetic changes impair parts of the 2R-WGD signalling networks and force information flow through a limited set of oncogenic pathways in which specific non-mutated 2R-ohnologues serve as effectors. The non-mutated 2R-ohnologues are therefore potential therapeutic targets. These include proteins linked to growth factor signalling, neurotransmission and ion channels.
    Original languageEnglish
    Article number140029
    Number of pages16
    JournalOpen Biology
    Volume4
    Issue numberMay
    DOIs
    Publication statusPublished - 7 May 2014

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    Genes
    Mutation
    Neoplasms
    Medulloblastoma
    Information Services
    Second Primary Neoplasms
    Neoplasm Genes
    Ion Channels
    Synaptic Transmission
    Vertebrates
    Melanoma
    Intercellular Signaling Peptides and Proteins
    Proteins
    Breast
    Genome
    Liver
    Therapeutics

    Cite this

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    title = "Identification of 2R-ohnologue gene families displaying the same mutation-load skew in multiple cancers",
    abstract = "The complexity of signalling pathways was boosted at the origin of the vertebrates, when two rounds of whole genome duplication (2R-WGD) occurred. Those genes and proteins that have survived from the 2R-WGD-termed 2R-ohnologues-belong to families of two to four members, and are enriched in signalling components relevant to cancer. Here, we find that while only approximately 30{\%} of human transcript-coding genes are 2R-ohnologues, they carry 42-60{\%} of the gene mutations in 30 different cancer types. Across a subset of cancer datasets, including melanoma, breast, lung adenocarcinoma, liver and medulloblastoma, we identified 673 2R-ohnologue families in which one gene carries mutations at multiple positions, while sister genes in the same family are relatively mutation free. Strikingly, in 315 of the 322 2R-ohnologue families displaying such a skew in multiple cancers, the same gene carries the heaviest mutation load in each cancer, and usually the second-ranked gene is also the same in each cancer. Our findings inspire the hypothesis that in certain cancers, heterogeneous combinations of genetic changes impair parts of the 2R-WGD signalling networks and force information flow through a limited set of oncogenic pathways in which specific non-mutated 2R-ohnologues serve as effectors. The non-mutated 2R-ohnologues are therefore potential therapeutic targets. These include proteins linked to growth factor signalling, neurotransmission and ion channels.",
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    Identification of 2R-ohnologue gene families displaying the same mutation-load skew in multiple cancers. / Tinti, Michele; Dissanayake, Kumara; Synowsky, Silvia; Albergante, Luca; Mackintosh, Carol.

    In: Open Biology, Vol. 4, No. May, 140029, 07.05.2014.

    Research output: Contribution to journalArticle

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    AU - Tinti, Michele

    AU - Dissanayake, Kumara

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    AU - Albergante, Luca

    AU - Mackintosh, Carol

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