To gain insights into the molecular mechanisms underlying pro-tumorigenic action of PGRMC1 transcripts in head and neck cancer cells, we first performed the differential gene expression analysis based on DESeq2 (Love et al., 2014) framework between PGRMC1 high-expression samples (N = 125) and PGRMC1 low-expression samples (N = 125) in HNSC dataset from TCGA database (Figure 4A). Here, PGRMC1 is linked to head and neck cancer.