ITGA3 acts as a purity-independent biomarker of both immunotherapy and chemotherapy resistance in pancreatic cancer: bioinformatics and experimental analysis.
Xiaohao ZhengYongxing DuMingyang LiuCheng-Feng WangPublished in: Functional & integrative genomics (2023)
Contribution of integrin superfamily genes to treatment resistance remains uncertain. Genome patterns of thirty integrin superfamily genes were analyzed of using bulk and single-cell RNA sequencing, mutation, copy number, methylation, clinical information, immune cell infiltration, and drug sensitivity data. To select the integrins that are most strongly associated with treatment resistance in pancreatic cancer, a purity-independent RNA regulation network including integrins were constructed using machine learning. The integrin superfamily genes exhibit extensive dysregulated expression, genome alterations, epigenetic modifications, immune cell infiltration, and drug sensitivity, as evidenced by multi-omics data. However, their heterogeneity varies among different cancers. After constructing a three-gene (TMEM80, EIF4EBP1, and ITGA3) purity-independent Cox regression model using machine learning, ITGA3 was identified as a critical integrin subunit gene in pancreatic cancer. ITGA3 is involved in the molecular transformation from the classical to the basal subtype in pancreatic cancer. Elevated ITGA3 expression correlated with a malignant phenotype characterized by higher PD-L1 expression and reduced CD8 + T cell infiltration, resulting in unfavorable outcomes in patients receiving either chemotherapy or immunotherapy. Our findings suggest that ITGA3 is an important integrin in pancreatic cancer, contributing to chemotherapy resistance and immune checkpoint blockade therapy resistance.
Keyphrases
- genome wide
- copy number
- genome wide identification
- single cell
- dna methylation
- mitochondrial dna
- poor prognosis
- transcription factor
- rna seq
- cell adhesion
- type diabetes
- long non coding rna
- emergency department
- gene expression
- genome wide analysis
- squamous cell carcinoma
- healthcare
- adipose tissue
- cell migration
- binding protein
- locally advanced
- insulin resistance
- social media
- electronic health record
- wastewater treatment
- radiation therapy
- adverse drug
- cell therapy
- big data
- stem cells
- mesenchymal stem cells