Glutamine Metabolism Regulators Associated with Cancer Development and the Tumor Microenvironment: A Pan-Cancer Multi-Omics Analysis

• Published in: Genes Vol. 12; no. 9; p. 1305
• Main Authors: Zou, Jingwen, Du, Kunpeng, Li, Shaohua, Lu, Lianghe, Mei, Jie, Lin, Wenping, Deng, Min, Wei, Wei, Guo, Rongping
• Format: Journal Article
• Language: English
• Published: Switzerland MDPI AG 25.08.2021; MDPI
• Subjects: Amino acids; Biomarkers, Tumor - genetics; Biomarkers, Tumor - metabolism; Bladder; Cancer; Carcinogenesis - genetics; Carcinogenesis - pathology; Datasets as Topic; DNA Copy Number Variations; DNA Methylation; Drug resistance; Enzymes; Epigenesis, Genetic; Epigenetics; Epigenomics; Female; Gene expression; Gene Expression Regulation, Neoplastic; Genomes; Genomics; Glutamine; Glutamine - metabolism; Humans; immune; Kaplan-Meier Estimate; Male; Medical prognosis; Melanoma; Metabolic Networks and Pathways - genetics; Metabolism; Metabolites; Metastases; Microenvironments; MicroRNAs; miRNA; Molecular modelling; multi-omics; Neoplasms - genetics; Neoplasms - mortality; Neoplasms - pathology; Ovaries; pan-cancer; PD-L1; PD-L1 protein; Polymorphism, Single Nucleotide; Prostate; Proteins; RNA-Seq; Survival analysis; Thyroid gland; Tumor microenvironment; Tumor Microenvironment - genetics; Tumorigenesis; Tumors; PD-L1; multi-omics; metabolism; immune; pan-cancer; glutamine
• ISSN: 2073-4425; 2073-4425
• DOI: 10.3390/genes12091305

In recent years, metabolic reprogramming has been identified as a hallmark of cancer. Accumulating evidence suggests that glutamine metabolism plays a crucial role in oncogenesis and the tumor microenvironment. In this study, we aimed to perform a systematic and comprehensive analysis of six key metabolic node genes involved in the dynamic regulation of glutamine metabolism (referred to as GLNM regulators) across 33 types of cancer. We analyzed the gene expression, epigenetic regulation, and genomic alterations of six key GLNM regulators, including , , , , , and , in pan-cancer using several open-source platforms and databases. Additionally, we investigated the impacts of these gene expression changes on clinical outcomes, drug sensitivity, and the tumor microenvironment. We also attempted to investigate the upstream microRNA-mRNA molecular networks and the downstream signaling pathways involved in order to uncover the potential molecular mechanisms behind metabolic reprogramming. We found that the expression levels of GLNM regulators varied across cancer types and were related to several genomic and immunological characteristics. While the immune scores were generally lower in the tumors with higher gene expression, the types of immune cell infiltration showed significantly different correlations among cancer types, dividing them into two clusters. Furthermore, we showed that elevated GLNM regulators expression was associated with poor overall survival in the majority of cancer types. Lastly, the expression of GLNM regulators was significantly associated with PD-L1 expression and drug sensitivity. The elevated expression of GLNM regulators was associated with poorer cancer prognoses and a cold tumor microenvironment, providing novel insights into cancer treatment and possibly offering alternative options for the treatment of clinically refractory cancers.