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非小细胞肺癌大块肿瘤中与预后、增殖及治疗反应相关的单B细胞基因共表达网络

Single B Cell Gene Co-Expression Networks Implicated in Prognosis, Proliferation, and Therapeutic Responses in Non-Small Cell Lung Cancer Bulk Tumors.

作者信息

Ye Qing, Guo Nancy Lan

机构信息

Lane Department of Computer Science and Electrical Engineering, Statler College of Engineering and Mineral Resources, West Virginia University, Morgantown, WV 26506, USA.

West Virginia University Cancer Institute, Morgantown, WV 26506, USA.

出版信息

Cancers (Basel). 2022 Jun 25;14(13):3123. doi: 10.3390/cancers14133123.

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.

摘要

在非小细胞肺癌(NSCLC)中,对免疫治疗预测生物标志物有迫切需求。B细胞功能障碍的潜在机制及其在NSCLC中的预后重要性尚不清楚。通过比较NSCLC肿瘤B细胞和正常B细胞的单细胞RNA测序的布尔蕴含模型,构建了肿瘤特异性B细胞基因共表达网络。利用超过92个人类NSCLC上皮细胞系的体外CRISPR-Cas9/RNA干扰(RNAi)筛选数据从网络中选择增殖基因。使用公开的NSCLC转录组和蛋白质组图谱进行预后和预测评估。一个B细胞增殖和预后基因共表达网络仅存在于正常肺B细胞中,而在NSCLC肿瘤B细胞中缺失。从该B细胞网络中鉴定出一个九基因特征,其使用大量NSCLC肿瘤转录组(n = 1313)和蛋白质组图谱(n = 103)提供了准确的预后分层。在NSCLC B细胞、外周血淋巴细胞和肿瘤T细胞中差异表达的多个基因(、、和)在mRNA和蛋白质表达水平上具有一致的预后指示。所选基因与对10种常用NSCLC治疗方案的药物敏感性/抗性相关。发现lestaurtinib是一种用于治疗NSCLC的潜在重新定位药物。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a775/9265014/d57d6f2e1054/cancers-14-03123-g001.jpg

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