Elevated LSD1 and SNAIL Expression Indicate Poor Prognosis in Hypopharynx Carcinoma.
Justus BottnerChristian IdelLuise KlapperTobias JagomastAnna-Lena LemsterSven PernerChristian IdelJutta KirfelPublished in: International journal of molecular sciences (2022)
Head and neck squamous cell carcinomas (HNSCC) are among the most common cancers worldwide and are associated with a poor prognosis for patients. Among HNSCC, those originating in the hypopharynx have the worst prognosis. The histone demethylase LSD1 has been shown to promote cancer initiation, progression, and relapse through various mechanisms and is upregulated in many cancer tissues. LSD1 physically interacts with SNAIL and is required for SNAIL mediated transcriptional repression. Previous studies of the prognostic value of LSD1 in HNSCC have been limited in their analysis of sub-sites, and a correlation between LSD1 and SNAIL has not been shown in HNSCC patient samples. Here we used a large, representative, and clinically well-characterized cohort of 339 HNSCC patients to investigate the co-expression of LSD1 and SNAIL and their prognostic value in all HNSCC using immunohistochemical staining. Elevated LSD1 expression correlated with advanced tumor stage and poor progression-free survival (PFS) in HNSCC originating in the hypopharynx. Overexpression of the transcription factor SNAIL independently correlated with worse overall survival (OS) and PFS in HNSCC in general and prominently in tumors of the hypopharynx. Furthermore, increased LSD1 expression significantly correlated with elevated SNAIL expression in patient samples. Therefore, the presented data implicates LSD1 and SNAIL as independent prognostic biomarkers.
Keyphrases
- poor prognosis
- epithelial mesenchymal transition
- long non coding rna
- squamous cell
- free survival
- transcription factor
- end stage renal disease
- ejection fraction
- gene expression
- chronic kidney disease
- newly diagnosed
- prognostic factors
- case report
- cell proliferation
- squamous cell carcinoma
- signaling pathway
- peritoneal dialysis
- binding protein
- dna methylation
- big data
- young adults
- deep learning