Construction of a B cell-related gene pairs signature for predicting prognosis and immunotherapeutic response in non-small cell lung cancer

Abstract

BackgroundAccumulating evidence indicates that the B cells play important roles in anti-tumor immunity and shaping tumor development. This study aimed to explore the expression profiles of B cell marker genes and construct a B cell-related gene pairs (BRGPs) signature associated with the prognosis and immunotherapeutic efficiency in non-small cell lung cancer (NSCLC) patients.MethodsB cell-related marker genes in NSCLC were identified using single-cell RNA sequencing data. TCGA and GEO datasets were utilized to identify the prognostic BRGPs based on a novel algorithm of cyclically single pairing along with a 0-or-1 matrix. BRGPs signature was then constructed using Lasso-Cox regression model. Its prognostic value, associated immunogenomic features, putative molecular mechanism and predictive ability to immunotherapy were investigated in NSCLC patients.ResultsThe BRGPs signature was composed of 23 BRGPs including 28 distinct B cell-related genes. This predictive signature demonstrated remarkable power in distinguishing good or poor prognosis and can serve as an independent prognostic factor for NSCLC patients in both training and validation cohorts. Furthermore, BRGPs signature was significantly associated with immune scores, tumor purity, clinicopathological characteristics and various tumor-infiltrating immune cells. Besides, we demonstrated that the tumor mutational burden scores and TIDE scores were positively correlated with the risk score of the model implying immune checkpoint blockade therapy may be more effective in NSCLC patients with high-risk scores.ConclusionsThis novel BRGPs signature can be used to assess the prognosis of NSCLC patients and may be useful in guiding immune checkpoint inhibitor treatment in our clinical practice.

M1 macrophage-related gene model for NSCLC immunotherapy response prediction

“…Li et al . [41] previously reported a 28-gene signature in TCGA-NSCLC patients with a 3-year AUC of 0.69 in the training dataset, which was lower than the AUC observed in our analysis despite involving more genes. In this study, we found that the response score was significantly associated with immunotherapy response.…”

“…Kaplan-Meier survival analysis in an independent TCGA-LUAD set was also performed, showing an outstanding predictive effect in predicting the prognosis of advanced-stage NSCLC. Li et al [41] previously reported a 28-gene signature in TCGA-NSCLC patients with a 3-year AUC of 0.69 in the training dataset, which was lower than the AUC observed in our analysis despite involving more genes. In this study, we found that the response score was significantly associated with immunotherapy response.…”

Molecular classification reveals the sensitivity of lung adenocarcinoma to radiotherapy and immunotherapy: multi-omics clustering based on similarity network fusion

“…The tumor microenvironment is crucial for tumor initiation, progression, and immunity [ 40 ]. Studies have shown that tumor-infiltrating B cells are essential regulators of lung cancer progression [ 41 ]. Under tumor microenvironment signaling, B cells infiltrate, proliferate, and develop within tumors.…”

A signature based on anoikis-related genes for the evaluation of prognosis, immunoinfiltration, mutation, and therapeutic response in ovarian cancer

“…Univariate Cox regression analysis of datasets was performed using R’s “ survival ” package for identifying prognostic ARGs, and those ARGs with p < 0.05 were selected ( n = 52). We pairwise compared the relative expression levels of prognostic ARGs in each sample and scored each ARG ( 20 ). ARGs were paired to constitute ARG pairs (ARGPs), including ARG1 and ARG2.…”