Single B Cell Gene Co-Expression Networks Implicated in Prognosis, Proliferation, and Therapeutic Responses in Non-Small Cell Lung Cancer Bulk Tumors.
Qing YeNancy Lan GuoPublished in: Cancers (2022)
In NSCLC, there is a pressing need for immunotherapy predictive biomarkers. The processes underlying B-cell dysfunction, as well as their prognostic importance in NSCLC, are unknown. Tumor-specific B-cell gene co-expression networks were constructed by comparing the Boolean implication modeling of single-cell RNA sequencing of NSCLC tumor B cells and normal B cells. Proliferation genes were selected from the networks using in vitro CRISPR-Cas9/RNA interfering (RNAi) screening data in more than 92 human NSCLC epithelial cell lines. The prognostic and predictive evaluation was performed using public NSCLC transcriptome and proteome profiles. A B cell proliferation and prognostic gene co-expression network was present only in normal lung B cells and missing in NSCLC tumor B cells. A nine-gene signature was identified from this B cell network that provided accurate prognostic stratification using bulk NSCLC tumor transcriptome ( n = 1313) and proteome profiles ( n = 103). Multiple genes ( HLA-DRA , HLA-DRB1 , OAS1 , and CD74 ) differentially expressed in NSCLC B cells, peripheral blood lymphocytes, and tumor T cells had concordant prognostic indications at the mRNA and protein expression levels. The selected genes were associated with drug sensitivity/resistance to 10 commonly used NSCLC therapeutic regimens. Lestaurtinib was discovered as a potential repositioning drug for treating NSCLC.
Keyphrases
- small cell lung cancer
- advanced non small cell lung cancer
- genome wide
- single cell
- brain metastases
- genome wide identification
- poor prognosis
- crispr cas
- peripheral blood
- cell proliferation
- rna seq
- copy number
- healthcare
- gene expression
- epidermal growth factor receptor
- dna methylation
- endothelial cells
- machine learning
- oxidative stress
- emergency department
- mass spectrometry
- genome wide analysis
- long non coding rna
- genome editing
- electronic health record
- high throughput
- climate change
- pluripotent stem cells