bioRxivBioinformaticsPreprint
HERV-K HML-2 transcription in diverse cancers is related with cancer stem cell and epithelial-mesenchymal transition markers
Audrey T. LiniD, Cindy G. SantanderiD, Fabrícia Ferreira do NascimentoiD, Emanuele MarchiiD, Timokratis KaramitrosiD, Aris KatzourakisiD, Gkikas MagiorkinisiD
Abstract
Endogenous retroviruses (ERVs) are remnants of ancient retroviral infections that make up 8% of the human genome. Although these elements are mostly fragmented and inactive, many proviruses belonging to the HERV-K (HML-2) family, the youngest lineage in the human genome, have intact open reading frames, some encoding for accessory genes called np9 and rec that interact with oncogenic pathways. Many studies have established that ERVs are transiently expressed in both stem cells and cancer, resulting in aberrant self-renewal and uncontrolled proliferation. np9 and rec expression are significantly correlated with a range of cancer stem cell (CSC) and epithelial to mesenchymal transition (EMT) biomarkers, including cellular receptors, transcription factors, and histone modifiers. Surprisingly, these ERV genes are negatively correlated with genes known to promote pluripotency in embryonic stem cell lines, such as Oct4. These results indicate that HERV-K (HML-2) is part of the transcriptional landscape responsible for cancer cells undergoing the phenotypic switch that characterises EMT. The discovery of np9 and recs correlation with CSC and EMT biomarkers suggest a yet undescribed role affecting the transitional CSC-like state in EMT and the shift towards cancer malignancy.\n\nImportanceIn this study, we find that human endogenous retrovirus HERV-K (HML-2)-encoded genes np9 and rec are correlated with the expression of many biomarkers associated with cancer stem cells (CSC) and epithelial-mesenchymal transition (EMT). There has been a significant effort to develop novel treatments targeting CSC and EMT-specific signalling pathways and cell surface markers. This research describes HERV-K (HML-2) as interacting or being part of the regulatory network that make up reversible cell state switching in EMT. Our findings suggest these specific HERVs may be good candidate biomarkers in identifying the transitional CSC-like states that are present during the progression of EMT and cancer metastasis.
- organism: human
- assay: bulk RNA-seq
- research focus: differential expression
- research focus: gene regulatory network inference
- research focus: cell-cell communication
- approach: statistical model
- Citations
- 1
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