HPV-transformed cells exhibit altered HMGB1-TLR4/MyD88-SARM1 signaling axis.
Mirian Galliote MoraleWalason da Silva AbjaudeAline Montenegro SilvaLuisa Lina VillaEnrique BoccardoPublished in: Scientific reports (2018)
Cervical cancer is one of the leading causes of cancer death in women worldwide. Persistent infection with high-risk human papillomavirus (HPV) types is the main risk factor for the development of cervical cancer precursor lesions. HPV persistence and tumor development is usually characterized by innate immune system evasion. Alterations in Toll-like receptors (TLR) expression and activation may be important for the control of HPV infections and could play a role in the progression of lesions and tumors. In the present study, we analyzed the mRNA expression of 84 genes involved in TLR signaling pathways. We observed that 80% of the differentially expressed genes were downregulated in cervical cancer cell lines relative to normal keratinocytes. Major alterations were detected in genes coding for several proteins of the TLR signaling axis, including TLR adaptor molecules and genes associated with MAPK pathway, NFκB activation and antiviral immune response. In particular, we observed major alterations in the HMGB1-TLR4 signaling axis. Functional analysis also showed that HMGB1 expression is important for the proliferative and tumorigenic potential of cervical cancer cell lines. Taken together, these data indicate that alterations in TLR signaling pathways may play a role in the oncogenic potential of cells expressing HPV oncogenes.
Keyphrases
- immune response
- toll like receptor
- inflammatory response
- signaling pathway
- induced apoptosis
- nuclear factor
- high grade
- cervical cancer screening
- poor prognosis
- pi k akt
- lps induced
- cell cycle arrest
- dendritic cells
- oxidative stress
- dna methylation
- genome wide
- type diabetes
- gene expression
- cell death
- epithelial mesenchymal transition
- machine learning
- papillary thyroid
- cell proliferation
- electronic health record
- human health
- genome wide identification