AI Article Synopsis

  • There is an urgent need for immunotherapy biomarkers in non-small cell lung cancer (NSCLC) to understand B-cell dysfunction and its impact on prognosis.
  • Researchers developed tumor-specific B-cell gene co-expression networks by analyzing single-cell RNA sequencing data from NSCLC and normal B cells, along with CRISPR-Cas9 screening data from 92 human NSCLC cell lines.
  • A nine-gene signature was identified from these networks that could accurately predict prognosis in NSCLC patients and was linked to drug sensitivity/resistance, with Lestaurtinib emerging as a potential new treatment option.

Article Abstract

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 ( = 1313) and proteome profiles ( = 103). Multiple genes (, , , and ) 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.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9265014PMC
http://dx.doi.org/10.3390/cancers14133123DOI Listing

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