Abstract
Introduction: Adenoid cystic carcinoma (ACC) is a rare salivary gland cancer with diverse tumour growth kinetics. Studies have applied proteo-genomic approaches to identify poorer prognostic subgroups [1], [2], [3], [4], [5]. Most recently, Ferrarotto et al. described two groups: ACC-I characterised by NOTCH1 activating mutations, MYC and NOTCH1 intracellular domain (NICD1) protein expression and reduced survival; and ACC-II differentiated by TP63 and EGFR protein overexpression and better outcomes [5].
In our previous study of 120 ACC patients, we demonstrated adverse clinical outcomes with NOTCH1 activating mutations and/or NICD1 diffuse immunohistochemical (IHC) staining [6]. We have now used comprehensive transcriptome analysis to determine the differential gene expression patterns in tumour samples with and without NICD1 diffuse staining from a cohort of the above patients. To examine whether these patterns allow for stratification in an independent dataset, we used the differentially expressed gene-sets identified from these tumours to analyse the ACC transcriptomic dataset reported by Ferrarotto et al. [5].
In our previous study of 120 ACC patients, we demonstrated adverse clinical outcomes with NOTCH1 activating mutations and/or NICD1 diffuse immunohistochemical (IHC) staining [6]. We have now used comprehensive transcriptome analysis to determine the differential gene expression patterns in tumour samples with and without NICD1 diffuse staining from a cohort of the above patients. To examine whether these patterns allow for stratification in an independent dataset, we used the differentially expressed gene-sets identified from these tumours to analyse the ACC transcriptomic dataset reported by Ferrarotto et al. [5].
Original language | English |
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Journal | Oral Oncology |
Volume | 146 |
Early online date | 22 Aug 2023 |
DOIs | |
Publication status | Published - Nov 2023 |
Externally published | Yes |
Keywords
- Humans
- Carcinoma, Adenoid Cystic/pathology
- Gene Expression
- Immunohistochemistry
- Receptor, Notch1/genetics
- Staining and Labeling