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Dissecting the ferroptosis-related prognostic biomarker and immune microenvironment of driver gene-negative lung cancer.

ABSTRACT: Despite significant advances in targeted and immune therapy for non-small cell lung cancer (NSCLC), effective therapies for wild-type epidermal growth factor receptor/anaplastic lymphoma kinase (EGFR/ALK^WT) with low expression of programmed death ligand-1 (PD-L1) NSCLC remain elusive. Numerous studies have shown that ferroptosis plays an essential role in antitumor activity. To identify the molecular regulation patterns associated with ferroptosis, 351 EGFR/ALK^WT NSCLC samples with low-level PD-L1 were extracted from The Cancer Genome Atlas (TCGA) and clustered using the k-means clustering technique. The two clusters associated with ferroptosis showed significantly different prognoses. In total, 169 differential expression genes (DEGs) were identified. Cluster differential analysis revealed that Cluster 1 had a significantly poorer overall survival (OS) and was associated with more negative immune regulation. In addition, TCGA samples were randomly assigned in a 7:3 ratio to a training group or testing group. A signature of eight genes associated with ferroptosis was established in the training cohort using DEGs and validated in the test cohort and three independent cohorts (GSE72049, GSE41271, and GSE50081). The 5-year area under the curve (AUC) was 0.713, which was significantly higher than that of other predictors, including TNM stage and age. Furthermore, the risk score was associated with immune function, immune infiltration, and immunotherapy response, with high-risk patients having a worse prognosis, an immune-suppressing phenotype, and a poor response to immune checkpoint inhibitors. This study aims to contribute to our understanding of the biological role of ferroptosis in EGFR/ALK^WT NSCLC with low-level PD-L1, laying the groundwork for the development of novel therapeutic strategies.

SUBMITTER: Zhou R

PROVIDER: S-EPMC9493762 | biostudies-literature | 2022 Aug

REPOSITORIES: biostudies-literature

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Dissecting the ferroptosis-related prognostic biomarker and immune microenvironment of driver gene-negative lung cancer.

Zhou Rui R Ma Hao-Chuan HC Liu Yi-Hong YH Chen Xian X Chang Xue-Song XS Chen Ya-Dong YD Liu Li-Rong LR Li Yong Y Zhu Yan-Juan YJ Zhang Hai-Bo HB

Experimental biology and medicine (Maywood, N.J.) 20220628 16

Despite significant advances in targeted and immune therapy for non-small cell lung cancer (NSCLC), effective therapies for wild-type epidermal growth factor receptor/anaplastic lymphoma kinase (EGFR/ALKWT) with low expression of programmed death ligand-1 (PD-L1) NSCLC remain elusive. Numerous studies have shown that ferroptosis plays an essential role in antitumor activity. To identify the molecular regulation patterns associated with ferroptosis, 351 EGFR/ALKWT</s ...[more]

PMID: 35762414

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Project description:Lung adenocarcinoma (LUAD) is a prevalent form of lung cancer with high morbidity and fatality rates. Ferroptosis is a type of programmed cell death that is iron-dependent. Recent findings have suggested that ferroptosis inducers have promising prospects for the therapy of LUAD. However, ferroptosis-related gene expression in LUAD and its relationship with the tumor prognosis and tumor immune microenvironment remain unknown. We identified a total of 638 ferroptosis-related genes, built a LUAD ferroptosis-related risk model (FRRM) with the help of Least Absolute Shrinkage Selection Operator (LASSO) regression analysis based on The Cancer Genome Atlas (TCGA) database, split LUAD patients into high- and low-risk clusters, and verified the model utilizing the Gene Expression Omnibus (GEO) database. The results of the FRRM's principal component analysis (PCA) demonstrated its strong predictive power. Further, univariate and multivariate Cox and AUC curve analyses demonstrated that the model was independent of other clinical traits and served as an independent prognostic factor. The nomogram demonstrated strong predictive power for overall survival, according to calibration plots. We also explored variations in clinical characteristics, immune cell infiltration, immune-related function, and functional pathways between the high- and low-risk groups. Additionally, we used a protein-protein interaction (PPI) network of various genes in the two groups to search for potential target genes. GAPDH was then chosen for a follow-up investigation. An analysis was performed on the relationship between GAPDH and variations in survival prognosis, clinical traits, immune cell infiltration, immune checkpoints, and immunotherapy. In vitro tests further supported the probable functions of GAPDH as a ferroptosis marker in LUAD. In conclusion, a novel ferroptosis-related prognostic gene, GAPDH, was discovered, whose expression was connected to the tumor immune microenvironment. The combination of immunotherapy and the targeting of GAPDH to induce ferroptosis in LUAD may provide a novel therapeutical option.

Dataset Information

Dissecting the ferroptosis-related prognostic biomarker and immune microenvironment of driver gene-negative lung cancer.

Publications

Dissecting the ferroptosis-related prognostic biomarker and immune microenvironment of driver gene-negative lung cancer.

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