Evolutionary Transcriptomics of Cancer Development

Cancer progression is a complex, multi-stage development process characterized by dynamic changes at the molecular level. Understanding these changes may provide new insights into tumorigenesis and potential therapeutic targets. This study focuses on the evolutionary transcriptomics of cancer, specifically analyzing the Transcriptome Age Index (TAI) across different pathological stages. By examining various cancers at four distinct pathological stages, we identify a significant «hourglass» pattern in TAI indices of ductal carcinoma of the breast, bladder carcinoma, and liver carcinoma, suggesting a conserved evolutionary trajectory during tumor development. The results reveal that early and late stages of these cancers exhibit higher TAI values, indicative of more novel gene expression, while intermediate stages show a dip in TAI, reflecting a more ancient evolutionary origin of expressed genes. This «hourglass» pattern underscores the evolutionary constraints and innovations at play during tumor progression. Our findings contribute to the growing body of evidence that evolutionary principles are deeply embedded in cancer biology, offering new perspectives on the dynamics of gene expression in tumors.

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Publication Details

Journal
International Journal of Molecular Sciences
Published
2025-05-23
DOI
https://doi.org/10.3390/ijms26115041
Citations
1
Primary Topic
RNA Research and Splicing
Type
article
Field-Weighted Citation Impact
0.81

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article

Evolutionary Transcriptomics of Cancer Development

С. А. Лашин, R. A. Ivanov, Yu. G. Matushkin, Д. А. Афонников
1 citations
International Journal of Molecular Sciences
RNA Research and Splicing
0.81
article

Evolutionary Transcriptomics of Cancer Development

С. А. Лашин, R. A. Ivanov, Yu. G. Matushkin, Д. А. Афонников
article en
1 citations

Abstract

Cancer progression is a complex, multi-stage development process characterized by dynamic changes at the molecular level. Understanding these changes may provide new insights into tumorigenesis and potential therapeutic targets. This study focuses on the evolutionary transcriptomics of cancer, specifically analyzing the Transcriptome Age Index (TAI) across different pathological stages. By examining various cancers at four distinct pathological stages, we identify a significant «hourglass» pattern in TAI indices of ductal carcinoma of the breast, bladder carcinoma, and liver carcinoma, suggesting a conserved evolutionary trajectory during tumor development. The results reveal that early and late stages of these cancers exhibit higher TAI values, indicative of more novel gene expression, while intermediate stages show a dip in TAI, reflecting a more ancient evolutionary origin of expressed genes. This «hourglass» pattern underscores the evolutionary constraints and innovations at play during tumor progression. Our findings contribute to the growing body of evidence that evolutionary principles are deeply embedded in cancer biology, offering new perspectives on the dynamics of gene expression in tumors.

International Journal of Molecular SciencesVol. 26(11)
Novosibirsk State University (RU), Institute of Cytology and Genetics (RU)
Ministry of Science and Higher Education of the Russian Federation
Good health and well-being
Openalex Percentile: Top 28%
RNA Research and Splicing
0.81
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