A prognostic model based on Scissor < sup > + < /sup > cancer associated fibroblasts identified from bulk and single cell RNA sequencing data in head and neck squamous cell carcinoma

In conclusion, we constructed an optimal model that was derived from single cell RNA-seq and bulk RNA-seq to predict the survival probability of HNSCC patients. Among this model, AKR1C3 higher expression in cancer associated fibroblasts (CAFs) of HNSCC has been confirmed by preliminary experiments.PMID:38029947 | DOI:10.1016/j.cellsig.2023.110984
Source: Cellular Signalling - Category: Cytology Authors: Source Type: research