Spotlight on hTERT Complex Regulation in Cutaneous T-Cell Lymphomas.
Joana RopioMartina Prochazkova-CarlottiRui BatistaAna PestanaAlain CheblyJacky FerrerYamina IdrissiDavid CappellenCecília DurãesPaula BoaventuraJoão VinagreLamia Azzi-MartinSandrine PoglioJosé CabeçadasManuel António CamposMarie Beylot-BarryManuel Sobrinho-SimõesJean-Philippe MerlioPaula SoaresEdith ChevretPublished in: Genes (2023)
As a major cancer hallmark, there is a sustained interest in understanding the telomerase contribution to carcinogenesis in order to therapeutically target this enzyme. This is particularly relevant in primary cutaneous T-cell lymphomas (CTCL), a malignancy showing telomerase dysregulation with few investigative data available. In CTCL, we examined the mechanisms involved in telomerase transcriptional activation and activity regulation. We analyzed 94 CTCL patients from a Franco-Portuguese cohort, as well as 8 cell lines, in comparison to 101 healthy controls. Our results showed that not only polymorphisms (SNPs) located at the promoter of human telomerase reverse transcriptase ( hTERT) gene (rs2735940 and rs2853672) but also an SNP located within the coding region (rs2853676) could influence CTCL occurrence. Furthermore, our results sustained that the post-transcriptional regulation of hTERT contributes to CTCL lymphomagenesis. Indeed, CTCL cells present a different pattern of hTERT spliced transcripts distribution from the controls, mostly marked by an increase in the hTERT β+ variants proportion. This increase seems to be associated with CTCL development and progression. Through hTERT splicing transcriptome modulation with shRNAs, we observed that the decrease in the α-β+ transcript induced a decrease in the cell proliferation and tumorigenic capacities of T-MF cells in vitro. Taken together, our data highlight the major role of post-transcriptional mechanisms regulating telomerase non canonical functions in CTCL and suggest a new potential role for the α-β+ hTERT transcript variant.
Keyphrases
- genome wide
- induced apoptosis
- gene expression
- cell proliferation
- end stage renal disease
- cell cycle arrest
- transcription factor
- rna seq
- dna methylation
- endothelial cells
- ejection fraction
- chronic kidney disease
- electronic health record
- risk assessment
- newly diagnosed
- big data
- high glucose
- single cell
- machine learning
- oxidative stress
- prognostic factors
- endoplasmic reticulum stress
- squamous cell carcinoma
- artificial intelligence
- induced pluripotent stem cells
- drug induced
- heat stress