Comprehensive Analysis of Subtypes and Identification of Key lncRNAs Based on Glutamine Metabolism-Related Long Noncoding RNAs DOI Open Access
Yuwei Feng, Xiao Wei Sun,

Tiangu Yang

et al.

Computational and Mathematical Methods in Medicine, Journal Year: 2022, Volume and Issue: 2022, P. 1 - 16

Published: April 29, 2022

Long noncoding RNAs (lncRNAs) are becoming a critical class of metabolic regulate molecule in cancer. Glutamine is regulator that contributes to each the core tasks proliferating tumor cells. Thus, we aimed evaluate association lncRNAs with glutamine metabolism lung adenocarcinoma (LUAD).Using single-sample gene set enrichment analysis (ssGSEA), LUAD specimens were assigned scores based on metabolism-related genes, and shared common three different data cohorts identified. ConsensusClusterPlus was used perform unsupervised clustering patients LUAD. Key identified by first-order partial correlation analysis.A total 11 metabolism-associated cohorts, classified into subtypes expressions related genes. C1 exhibited shorter overall survival (OS), poor genomic instability, inadequate infiltration immune cell types microenvironment (TME) representative immunodeficiency phenotype. C2 represented immunosuppressive phenotype while C3 activation phenotype, exhibiting highest sensitivity immunotherapy. Nine localized nucleus. Finally, key lncRNAs, significantly enriched multiple pathways, screened found be remarkably OS LUAD.We LUAD, which reflected OS, genomic, TME features, may contribute further study cancer metabolism.

Language: Английский

The Role of Long Noncoding RNAs (lncRNAs) in Esophageal Cancer Therapy Resistance and Metastasis DOI Creative Commons

Zong-Ping Weng,

Shen-Kai Hsu,

Huimin Wang

et al.

Biomedicines, Journal Year: 2024, Volume and Issue: 12(3), P. 660 - 660

Published: March 15, 2024

Esophageal cancer (EC) is one of the most aggressive gastrointestinal cancers. Despite improvements in therapies, survival rate patients with EC remains low. Metastasis accounts for up to 90% cancer-related deaths, and resistance anti-neoplastic therapeutics also a main cause poor survival. Thus, metastasis drug are undoubtedly two challenges treatment. Among different categories noncoding RNAs, lncRNAs have historically drawn less attention. However, gradually become research hotspot, increasing has demonstrated that participate tumorigenesis multiple types cancer, including EC. Long RNAs (lncRNAs) RNA transcripts longer than 200 nucleotides length play important roles epigenetics, transcription regulation, posttranscriptional processing. In this review, we elucidated role discussed their potential clinical applications related limitations. With better understanding underlying mechanisms lncRNAs, can identify therapeutic targets future.

Language: Английский

Citations

0
Comprehensive analysis of long non-coding RNA MAGI2-AS3 as a key immune regulator, therapeutic target and prognostic biomarker across pan-cancer with a focus on colorectal cancer DOI Creative Commons
Fatemeh Maghool,

Samaneh Mohammadzadeh,

Aida Heidari

et al.

Research Square (Research Square), Journal Year: 2024, Volume and Issue: unknown

Published: Aug. 23, 2024

Abstract Background Long noncoding RNAs (lncRNAs) are increasingly recognized as essential regulators of gene expression, playing crucial roles in various cancer pathways, including initiation, progression, and immune regulation. However, the clinical significance immune-related lncRNAs remains largely unexplored. This study comprehensively examines landscape lncRNA MAGI2-AS3 regulation its mechanisms across different types with a special focus on colorectal (CRC). Methods: Building previous integrated systems biology research, identified significantly interacting differentially expressed genes (DEGs) critical progression stages. To further investigate MAGI2-AS3's role, comprehensive set analyses was conducted. Expression patterns were examined single cells, normal tumor tissues, cell lines. Functional correlation enrichment performed to elucidate biological significance. Prognostic value assessed through survival analyses, Kaplan-Meier curves Cox regression. The also explored infiltration, immunomodulatory effects, responses immunotherapy understand associated MAGI2-AS3. Additionally, pan-cancer analysis drug sensitivity, genomic alterations, methylation conducted provide holistic view involvement biology. Results: found that exhibited variable expression types, high some cancers low others, differential lines single-cell populations. showed is involved cancer-related pathways such cellular motility, signal transduction, Survival revealed has significant prognostic for endpoints like overall (OS), disease-free (DFS), progression-free (PFS), relapse-free (RFS). Immune indicated both positive negative correlations system components, affecting pathway functions context. In (CRC), strong immunomodulators dysregulated checkpoint inhibitors. linked sensitivity resistance, especially CRC, concerning common anticancer small molecules. Pan-cancer mutational profiles degrees amplification deep deletions, gain loss function mutations, promoter methylation, numerous downstream types. Conclusion: Our positions versatile potent biomarker implications prognosis therapy. Its role an regulator impact make it promising candidate developing advanced therapeutic strategies, particularly cancer. Further research validation warranted fully harness potential treatment.

Language: Английский

Citations

0
MAGI2-AS3 hypermethylated in promoter region promotes migration and invasion of head and neck squamous cell carcinoma via miRNA-31-5p/AR axis DOI
Kai Yue, Ting Zhang, Huanhuan Wang

et al.

Translational Oncology, Journal Year: 2024, Volume and Issue: 52, P. 102223 - 102223

Published: Dec. 7, 2024

Language: Английский

Citations

0
MAGI2-AS3 restrains proliferation, glycolysis, and triggers apoptosis in acute lymphoblastic leukemia via regulating miR-452-5p/FOXN3 pathway. DOI

Xiaoguang Chen,

Bing-Hua Dou,

Jin-Dou An

et al.

PubMed, Journal Year: 2022, Volume and Issue: 25(1), P. 46 - 52

Published: Jan. 1, 2022

MAGI2-AS3 is a cancer suppressor gene of multiple malignancies. Acute lymphoblastic leukemia (ALL) an important type that especially occurs in children. Our work evaluated the modulation ALL.qPCR and Western blotting were adopted for detection target molecular expression. Growth apoptosis determined by CCK8 assay Annexin V/PI staining. Glycolysis was detected commercial kits. The direct binding between miR-452-5p or FOXN3 assessed luciferase reporter assay. Tumor growth measured nude mice vivo.MAGI2-AS3 down-regulated ALL. Enforced expression inhibited glycolysis while promoting ALL cells. Moreover, up-regulated via sponging miR-452-5p. depletion abrogated MAGI2-AS3-mediated anti-cancer action. More importantly, repressed cell through regulation miR-452-5p/FOXN3.MAGI2-AS3 inhibits development modulating miR-452-5p/FOXN3.

Language: Английский

Citations

2
Comprehensive Analysis of Subtypes and Identification of Key lncRNAs Based on Glutamine Metabolism-Related Long Noncoding RNAs DOI Open Access
Yuwei Feng, Xiao Wei Sun,

Tiangu Yang

et al.

Computational and Mathematical Methods in Medicine, Journal Year: 2022, Volume and Issue: 2022, P. 1 - 16

Published: April 29, 2022

Long noncoding RNAs (lncRNAs) are becoming a critical class of metabolic regulate molecule in cancer. Glutamine is regulator that contributes to each the core tasks proliferating tumor cells. Thus, we aimed evaluate association lncRNAs with glutamine metabolism lung adenocarcinoma (LUAD).Using single-sample gene set enrichment analysis (ssGSEA), LUAD specimens were assigned scores based on metabolism-related genes, and shared common three different data cohorts identified. ConsensusClusterPlus was used perform unsupervised clustering patients LUAD. Key identified by first-order partial correlation analysis.A total 11 metabolism-associated cohorts, classified into subtypes expressions related genes. C1 exhibited shorter overall survival (OS), poor genomic instability, inadequate infiltration immune cell types microenvironment (TME) representative immunodeficiency phenotype. C2 represented immunosuppressive phenotype while C3 activation phenotype, exhibiting highest sensitivity immunotherapy. Nine localized nucleus. Finally, key lncRNAs, significantly enriched multiple pathways, screened found be remarkably OS LUAD.We LUAD, which reflected OS, genomic, TME features, may contribute further study cancer metabolism.

Language: Английский

Citations

1