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Gene & Protein in Disease                                              Perineural invasion in prostate cancer



            pathways activated only by common DEGs shared by both   were upregulated only in perineural invasion-negative
            Schwann cells and perineural invasion-negative samples,   tumors (Figure 1A and B).
            while regulation of actin cytoskeleton was activated only
            by  common  DEGs  shared  by both Schwann cells  and   3.5. Analysis of clock-related genes
            perineural invasion-positive samples (Supplementary   Since circadian entrainment is a pathway upregulated
            File 1 Tables S5-S6).                              in perineural invasion-positive prostate tumors, we
                                                               associated DEGs to clock-related gene list. PER3, NR3C1,
            3.3. Hallmarks of cancer analysis                  PPARGC1A, TIMP3, ID2, PDE6B, SLC25A10,  and
            In order to delineate the mechanism by which Schwann   CAVIN1 were upregulated in perineural invasionnegative
            cells aid in neoplastic development, we analyzed the   tumors. We also observed upregulated genes in perineural
            behavior of genes associated with cell differentiation   invasion-positive tumors, such as  PPARGC1A, TIMP3,
            processes (GATA3, CDH1, and CDH2), apoptosis (CASP3,   S100A8, ID2, DEFB1, AQP3, ASS1, PDE6B, NEFH, and
            CASP9, BAX, and BCL2), motility (CXCR2, CXCL5, MMP9,   CAVIN1 (Figure 1C and D). These DEG analysis outputs
            and CCL12), and cell proliferation (MKI67). In perineural   are supported by immunohistochemistry results (Figure 2).
            invasion-negative tumors,  GATA3,  BCL2 and  CXCR2
            were upregulated, and GATA3 was upregulated, whereas   3.6. Methylation and copy number alteration
            MMP9 was downregulated in perineural invasion-positive   Methylation analysis of the GATA3, BCL2, CXCR2, MMP9,
            samples (Figure 1A and B).                         NCAM1, NGFR, ROBO1, AQP3, NEFH, and PER3 genes from
                                                               tumor samples demonstrated that all of them were methylated
            3.4. Analysis of genes involved in dedifferentiation   in their promoter regions unlike those from normal tissues
            of Schwann cells                                   (data not shown). However, there was a positive correlation
            The expression of cell differentiation maintenance proteins   between methylation and MPZ and NR3C1 gene expression
            (SOX10,  S100,  EGR2,  MBP,  ROBO1,  ROBO2,  SLIT2,   (Figures  3  and  4, respectively). Copy number alteration
            and  MPZ) in Schwann cells is diminished after nerve   data demonstrated that  CDH1,  CDH2,  GFAP,  PERP, and
            damage, provoking cellular dedifferentiation. Immediately   ROBO2 had a higher mRNA expression than normal tissues;
            after injury, the cell body initiates a series of metabolic   increased expression was associated with gain or amplification
            responses, cytoplasmic reorganization and specific changes   alterations in PRAD samples (Figure 5).
            in gene expression (upregulation of SOX10, GAP43, S100,
            NCAM1,  NGFR1, and  GFAP), collectively known as a   3.7. Correlation and prognostic analyses
            neuronal reaction⁠. 18,26,27  We observed increased expression   In order to analyze the pathway by which Schwann
            of NCAM1 and NGFR genes in both perineural invasion-  cells induce neoplasm and their own cell proliferation
            negative and -positive cancers, whereas ROBO1 and MPZ   and migration, we evaluated the expression of AKT


                          A                                  B










                         C
                                                             D










            Figure 1. Immunohistochemistry-based ARNTL2 expression in normal and cancer patients. Data are extracted from The Human Protein Atlas (https://
            www.proteinatlas.org/).


            Volume 3 Issue 3 (2024)                         4                               doi: 10.36922/gpd.3146
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