hTERT Epigenetics Provides New Perspectives for Diagnosis and Evidence-Based Guidance of Chemotherapy in Cancer.
Simeon SantourlidisMarcos Jesus Araúzo-BravoRobert T BrodellMohamed HassanMarcelo L BendhackPublished in: International journal of molecular sciences (2024)
Strong epigenetic pan-cancer biomarkers are required to meet several current, urgent clinical needs and to further improve the present chemotherapeutic standard. We have concentrated on the investigation of epigenetic alteration of the hTERT gene, which is frequently epigenetically dysregulated in a number of cancers in specific developmental stages. Distinct DNA methylation profiles were identified in our data on early urothelial cancer. An efficient EpihTERT assay could be developed utilizing suitable combinations with sequence-dependent thermodynamic parameters to distinguish between differentially methylated states. We infer from this data set, the epigenetic context, and the related literature that a CpG-rich, 2800 bp region, a prominent CpG island, surrounding the transcription start of the hTERT gene is the crucial epigenetic zone for the development of a potent biomarker. In order to accurately describe this region, we have named it "Acheron" (Ἀχέρων). In Greek mythology, this is the river of woe and misery and the path to the underworld. Exploitation of the DNA methylation profiles focused on this region, e.g., idiolocal normalized Methylation Specific PCR (IDLN-MSP), opens up a wide range of new possibilities for diagnosis, determination of prognosis, follow-up, and detection of residual disease. It may also have broad implications for the choice of chemotherapy.
Keyphrases
- dna methylation
- genome wide
- gene expression
- papillary thyroid
- copy number
- squamous cell
- electronic health record
- systematic review
- childhood cancer
- high throughput
- locally advanced
- transcription factor
- lymph node metastasis
- squamous cell carcinoma
- high grade
- young adults
- genome wide identification
- mass spectrometry
- real time pcr
- quantum dots
- data analysis