Identification of human peripheral blood monocyte gene markers for early screening of solid tumors.
Siyang ChenMenghan LiuBowen LiangShanghua GeJie PengHaiyue HuangYanmei XuXiaoli TangLibin DengPublished in: PloS one (2020)
As cancer mortality is high in most regions of the world, early screening of cancer has become increasingly important. Minimally invasive screening programs that use peripheral blood mononuclear cells (PBMCs) are a new and reliable strategy that can achieve early detection of tumors by identifying marker genes. From 797 datasets, four (GSE12771, GSE24536, GSE27562, and GSE42834) including 428 samples, 236 solid tumor cases, and 192 healthy controls were chosen according to the inclusion criteria. A total of 285 genes from among 440 reported genes were selected by meta-analysis. Among them, 4 of the top significantly differentially expressed genes (ANXA1, IFI44, IFI44L, and OAS1) were identified as marker genes of PBMCs. Pathway enrichment analysis identified, two significant pathways, the 'primary immunodeficiency' pathway and the 'cytokine-cytokine receptor interaction' pathway. Protein- protein interaction (PPI) network analysis revealed the top 27 hubs with a degree centrality greater than 23 to be hub genes. We also identified 3 modules in Molecular Complex Detection (MCODE) analysis: Cluster 1 (related to ANXA1), Cluster 2 (related to IFI44 and IFI44L) and Cluster 3 (related to OAS1). Among the 4 marker genes, IFI44, IFI44L, and OAS1 are potential diagnostic biomarkers, even though their results were not as remarkable as those for ANXA1 in our study. ANXA1 is involved in the immunosuppressive mechanism in tumor-bearing hosts and may be used in a new strategy involving the use of the host's own immunity to achieve tumor suppression.
Keyphrases
- bioinformatics analysis
- genome wide
- genome wide identification
- network analysis
- minimally invasive
- systematic review
- protein protein
- peripheral blood
- small molecule
- type diabetes
- public health
- papillary thyroid
- randomized controlled trial
- dna methylation
- dendritic cells
- cardiovascular disease
- risk factors
- immune response
- transcription factor
- copy number
- risk assessment
- cardiovascular events
- robot assisted
- meta analyses
- lymph node metastasis
- squamous cell