4.8 Article

Identification and Validation of a Novel Signature Based on NK Cell Marker Genes to Predict Prognosis and Immunotherapy Response in Lung Adenocarcinoma by Integrated Analysis of Single-Cell and Bulk RNA-Sequencing

Journal

FRONTIERS IN IMMUNOLOGY
Volume 13, Issue -, Pages -

Publisher

FRONTIERS MEDIA SA
DOI: 10.3389/fimmu.2022.850745

Keywords

single-cell RNA-sequencing; NK cell marker genes; prognostic signature; immunotherapy; lung adenocarcinoma

Categories

Funding

  1. National Key R&D Program of China [2021YFC2500900, 2020AAA0109500]
  2. R&D Program of Beijing Municipal Education commission [KJZD20191002302]
  3. Beijing Municipal Science & Technology Commission [Z191100006619119]
  4. Beijing Hope Run Special Fund of Cancer Foundation of China [LC2019A11]
  5. Beijing Nova Program of Science and Technology [Z191100001119095]

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This study identified 189 NK cell marker genes and developed a seven-gene prognostic signature based on these genes to predict the prognosis and immunotherapy response of lung adenocarcinoma patients. The signature was found to be an independent prognostic factor and low-risk patients had better immune cell infiltration and immunotherapy responses.
Natural killer (NK) cells, the effectors of the innate immune system, have a remarkable influence on cancer prognosis and immunotherapy. In this study, a total of 1,816 samples from nine independent cohorts in public datasets were enrolled. We first conducted a comprehensive analysis of single-cell RNA-sequencing data of lung adenocarcinoma (LUAD) from the Gene Expression Omnibus (GEO) database and determined 189 NK cell marker genes. Subsequently, we developed a seven-gene prognostic signature based on NK cell marker genes in the TCGA LUAD cohort, which stratified patients into high-risk and low-risk groups. The predictive power of the signature was well verified in different clinical subgroups and GEO cohorts. With a multivariate analysis, the signature was identified as an independent prognostic factor. Low-risk patients had higher immune cell infiltration states, especially CD8(+) T cells and follicular helper T cells. There existed a negative association between inflammatory activities and risk score, and the richness and diversity of the T-cell receptor (TCR) repertoire was higher in the low-risk groups. Importantly, analysis of an independent immunotherapy cohort (IMvigor210) revealed that low-risk patients had better immunotherapy responses and prognosis than high-risk patients. Collectively, our study developed a novel signature based on NK cell marker genes, which had a potent capability to predict the prognosis and immunotherapy response of LUAD patients.

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