Differential BMI1, TWIST1, SNAI2 mRNA expression pattern correlation with malignancy type in a spectrum of common cutaneous malignancies: basal cell carcinoma, squamous cell carcinoma, and melanoma

• F. Vand-Rajabpour ^[1] ; N. Sadeghipour ^[1] ; S. Saee-Rad ^[2] ; H. Fathi ^[1] ; P. Noormohammadpour ^[1] ; M. Yaseri ^[1] ; K. K. Hesari ^[1] ; Z. Bagherpour ^[1] ; M. Tabrizi ^[1]
  1. [1] Tehran University of Medical Sciences

     Tehran University of Medical Sciences

     Irán

     
  2. [2] Alborz University of Medical Sciences, Irán
• Localización: Clinical & translational oncology, ISSN 1699-048X, Vol. 19, Nº. 4 (April 2017), 2017, págs. 489-497
• Idioma: inglés
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• Resumen

  • Purpose Melanoma, squamous cell carcinoma (SCC), and basal cell carcinoma (BCC) can be used as a unique model to identify molecular mechanisms to distinguish rarely metastatic (BCC), often metastatic (SCC) and most metastatic (melanoma) cancer. It is known that epithelial–mesenchymal transition and stemness transcription factors (TWIST1, SNAI2/SLUG, and BMI1) play an important role in metastasis and their dysregulation has been demonstrated in metastatic cancers. We hypothesized that this spectrum of cutaneous cancers (BCC, SCC, and melanoma) would be a unique cancer model system to elucidate steps toward cancer invasion and metastasis.

    Methods We evaluated the mRNA expression level of BMI1, TWIST1, and SNAI2/SLUG and studied clinicopathological features in 170 skin cancers along with normal tissue samples.

    Results We demonstrate downregulation of BMI1 mRNA expression in BCC samples compared with controls (p = 0.0001), SCC (p = 0.001), and melanoma (p = 0.0001) samples. Downregulation of TWIST1 mRNA expression is seen in only BCC samples compared with controls (p = 0.031). High SNAI2 mRNA expression is represented in melanoma samples compared with controls (p = 0.022) and SCC samples (p = 0.031). High mRNA expression of TWIST1 is seen in patients with positive history of cancers. Extremely low mRNA expression of BMI1 is detected in patients with positive history of cancers other than skin cancer.

    Conclusions These findings provide support for the hypothesis that the spectrum of cutaneous cancers could be better understood as a series of gene dosage-dependent entities with distinct molecular events. Oncogene-induced senescence, mechanism of which is still unclear, could be one explanation for these results.