Danfeng Shao

CX3CR1 is a potential biomarker of immune microenvironment and prognosis in epithelial ovarian cancer

Immunotherapy is less efficient for epithelial ovarian cancer and lacks ideal biomarkers to select the best beneficiaries for immunotherapy. CX3CR1 as chemokine receptor mainly expressed on immune cell membranes, and combined with its unique ligand CX3CL1, mediates tissue chemotaxis and adhesion of immune cells. However, the immune functional and prognostic value of CX3CR1 in epithelial ovarian cancer has not been clarified. A comprehensive retrospective analysis was performed by using the online database to identify the underlying immunological mechanisms and prognostic value of CX3CR1. The Human Protein Atlas, gene expression profiling interactive analysis, and TISIDB (an integrated repository portal for tumor-immune system interactions) database showed that CX3CR1 expressed higher in epithelial ovarian cancer than that in normal ovarian tissue. Four hundred twenty-two cases from Gene Expression Profiling Interactive Analysis and 1656 cases from Kaplan–Meier plotter database showed higher expression of CX3CR1 (above median) was associated with unfavorable overall survival. TIMER, UALCAN, and TISIDB database were applied to validate CX3CR1 negative impact on overall survival. In addition, correlation analysis showed that the expression level of CX3CR1 was positive association with infiltrating levels of B cells (R = 0.31, P = 3.10e−12), CD8+ T cells (R = 0.26, P = 7.93e−09), CD4+ T cells (R = 0.11, P = 1.41e−02), macrophages (R = 0.32, P = 4.29e−13), dendritic cells (R = 0.27, P = 2.98e−09), and neutrophil (R = 0.25, P = 3.25e−08) in epithelial ovarian cancer. Therefore, CX3CR1 involved in reshaping the immune microenvironment for epithelial ovarian cancer and maybe a potential immunotherapy target and prognostic marker for ovarian cancer.

Screening and identification analysis of core markers for leukemia and cervical cancer: Calmodulin 3 as a core target

Leukemia is a type of malignant tumor affecting hematopoietic system. Cervical cancer is a malignant tumor of female reproductive tract. The relationship between Calmodulin 3 (CALM3) and leukemia, cervical cancer remains unclear. Leukemia dataset GSE26294 and cervical cancer dataset GSE173097 profiles were downloaded from gene expression omnibus. Principal component analysis, differentially expressed genes (DEGs) screening, weighted gene co-expression network analysis (WGCNA), functional enrichment analysis, gene set enrichment analysis, immune infiltration analysis, protein–protein interaction network construction and analysis, survival analysis were performed. Gene expression heatmaps were plotted. Comparative Toxicogenomics Database (CTD) was used to find diseases most related to core genes. 77 DEGs were identified. According to gene ontology, in biological process category, they were mainly enriched in cell proliferation, immune response, and apoptotic process. In cellular component category, they were mainly enriched in nucleus and Golgi apparatus. In molecular function category, they were mainly enriched in DNA binding, protein binding, transcription factor activity. In Kyoto encyclopedia of gene and genome analysis, they were mainly enriched in cell adhesion molecules, Wnt signaling pathway, cAMP signaling pathway, cGMP-PKG signaling pathway, and basal cell carcinoma. The soft-threshold power in WGCNA was set to 1, generating 6 modules. Finally identifying 3 core genes (CALM3, secreted frizzled-related protein 4, plasminogen). CTD analysis revealed that core genes were related to leukemia, coagulation disorders, vaginal tumors, cervical tumors, autoimmune diseases, and inflammation. CALM3 is lowly expressed in leukemia samples and highly expressed in cervical cancer samples.