bioRxivCancer Biology
Adversary of DNA integrity: a long non-coding RNA stimulates driver oncogenic chromosomal rearrangement in human thyroid cells
D. E. Demin, M. M. Murashko, A. N. Uvarova, E. M. Stasevich, E. Y. Shyrokova, G. E. Gorlachev, K. V. Korneev, A. S. Ustiugova, E. A. Tkachenko, V. V. Kostenko, K. A. Tatosyan, S. A. Sheetikov, P. V. Spirin, D. V. Kuprash, A. M. Schwartz
Abstract
The flurry of publications devoted to the functions of long non-coding RNAs (lncRNAs) published in the last decade leaves no doubt about the exceptional importance of lncRNAs in various areas including tumor biology. Contribution of lncRNAs to the early stages of oncogenesis remains poorly understood. In this study we explored a new role for lncRNAs: stimulation of driver oncogenic mutations that result from specific chromosomal rearrangements. We demonstrated that lncRNA CASTL1 (ENSG00000269945) stimulates the formation of the CCDC6-RET inversion (RET/PTC1) in human thyroid cells subjected to radiation or chemical DNA damage. Facilitation of chromosomal rearrangement requires lncRNA to contain regions complementary to the introns of both CCDC6 and RET genes as deletion of these regions deprives CASTL1 of the ability to stimulate the gene fusion. We found that CASTL1 expression is elevated in tumors with CCDC6-RET fusion which is the most frequent rearrangement in papillary thyroid carcinoma. Our results open a new venue for the studies of early oncogenesis in various tumor types, especially those associated with physical or chemical DNA damage. Graphical abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=157 SRC="FIGDIR/small/485761v1_ufig1.gif" ALT="Figure 1"> View larger version (29K): org.highwire.dtl.DTLVardef@bb217corg.highwire.dtl.DTLVardef@1936eeforg.highwire.dtl.DTLVardef@58430forg.highwire.dtl.DTLVardef@9ab5f8_HPS_FORMAT_FIGEXP M_FIG C_FIG
- organism: human
- assay: DNA methylation
- assay: whole-genome sequencing
- research focus: chromatin & epigenetic regulation
- research focus: cancer & tumor microenvironment
- research focus: gene regulatory network inference
- approach: experimental assay
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