PIP5KL1: A Novel Diagnostic and Prognostic Marker for Colorectal Cancer : A novel diagnostic and prognostic marker

Phosphatidylinositol-4-phosphate 5-kinase-like 1(PIP5KL1) is the basis of localization and activation of PIP5Ks and regulates cell activity. Nevertheless, the effect of PIP5KL1 on the growth of colorectal cancer remains unclear. First, we analyzed PIP5KL1 expression and gene regulatory networks in colorectal cancer using sequencing information from the Cancer Genome Atlas Database. The potential biological function of PIP5KL1 in colorectal cancer was evaluated by WGCNA analysis, co-expression analysis, immunocell infiltration analysis, drug susceptibility analysis, GSVA and GSEA analysis, and Nomogram model construction. Secondly, the PIP5KL1 mRNA and protein levels in human colorectal cancer cell lines (HCT116 and SW480) were detected by immunofluorescence imaging discussion and reverse transcription polymerase chain reaction (RT-PCR). The high expression of PIP5KL1 is made in colorectal cancer, and survival analysis suggests that those with high PIP5KL1 expression have a worse prognosis. Both univariate and multivariate Cox regression models suggested that PIP5KL1 was a separate prognostic element for colorectal cancer. Co-expression network analysis screened out genes significantly related to PIP5KL1 expression (CD164L2, LHB, AC008687.4, KLC3, DNAAF3). CIBERSORT analysis of immune cell infiltration in colorectal cancer. PIP5KL1 affects tumor progression through a variety of signaling pathways. According to GSVA results, Epithelial-mesenchymal transition (EMT), angiogenesis and hypoxia pathways are abundant in patients with high PIP5KL1 expression. WGCNA analysis of gene modules suggested the enrichment of genes in type I interferon signaling pathway, cellular reaction to type I interferon and reaction to type I interferon, Epstein−Barr virus infection, Antigen processing and presentation, Influenza A and other channels. To sum up, the overexpression of PIP5KL1 was found in colorectal cancer tissues, and according to survival analysis, the diversity was statistically great and affected the progression of colorectal cancer through tumor-related signaling pathways. Our results show that data mining can effectively reveal the expression and hidden regulatory network information of PIP5KL1 in colorectal cancer, laying a basis for further study of the effect of PIP5KL1 on the growth and progression of colorectal cancer.