Differential Expression of ATM, NF-KB, PINK1 and Foxo3a in Radiation-Induced Basal Cell Carcinoma

• Published in: International journal of molecular sciences Vol. 24; no. 8; p. 7181
• Main Authors: Jenni, Rim, Chikhaoui, Asma, Nabouli, Imen, Zaouak, Anissa, Khanchel, Fatma, Hammami-Ghorbel, Houda, Yacoub-Youssef, Houda
• Format: Journal Article
• Language: English
• Published: Switzerland MDPI AG 01.04.2023; MDPI
• Subjects: Analysis; Ataxia Telangiectasia Mutated Proteins - genetics; Ataxia Telangiectasia Mutated Proteins - metabolism; ATM-NF-kb signaling; Basal cell carcinoma; Carcinogenesis; Carcinoma, Basal Cell - genetics; Carcinoma, Basal Cell - metabolism; Development and progression; DNA repair; Gene expression; Genes; Humans; low-dose effects; MicroRNA; NF-kappa B - genetics; NF-kappa B - metabolism; PINK1 gene; Protein Kinases - metabolism; Radiation; radiation-induced BCC; radiotherapy; Skin; Skin Neoplasms - genetics; Skin Neoplasms - metabolism; Tumor necrosis factor; Tumor Necrosis Factor-alpha - metabolism; Tunisia; Taiwan; biomarkers; low-dose effects; radiotherapy; microRNA; ATM-NF-kb signaling; PINK1 gene; DNA repair; radiation-induced BCC
• ISSN: 1422-0067; 1661-6596; 1422-0067
• DOI: 10.3390/ijms24087181

Research in normal tissue radiobiology is in continuous progress to assess cellular response following ionizing radiation exposure especially linked to carcinogenesis risk. This was observed among patients with a history of radiotherapy of the scalp for ringworm who developed basal cell carcinoma (BCC). However, the involved mechanisms remain largely undefined. We performed a gene expression analysis of tumor biopsies and blood of radiation-induced BCC and sporadic patients using reverse transcription-quantitative PCR. Differences across groups were assessed by statistical analysis. Bioinformatic analyses were conducted using miRNet. We showed a significant overexpression of the , , , and genes among radiation-induced BCCs compared to BCCs in sporadic patients. expression level was correlated with . Based on receiver-operating characteristic curves, the differentially expressed genes could significantly discriminate between the two groups. Nevertheless, and blood expression showed no statistical differences between BCC groups. Bioinformatic analysis revealed that the candidate genes may represent putative targets for microRNAs in the skin. Our findings may yield clues as to the molecular mechanism involved in radiation-induced BCC, suggesting that deregulation of ATM-NF-kB signaling and gene expression may contribute to BCC radiation carcinogenesis and that the analyzed genes could represent candidate radiation biomarkers associated with radiation-induced BCC.