The roles of RNA N6-methyladenosine in esophageal cancer

Teng, Chuan; Kong, Fanyun; Mo, Jinggang; Lin, Weidong; Jin, Chong; Wang, Kunpeng; Wang, Ying

doi:10.1016/j.heliyon.2022.e11430

Cited by 2 publications

(1 citation statement)

References 107 publications

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“…Consequent functional enrichment analysis of these four modules unveiled connections to pathways related to esophageal cancer progression, multiple research studies corroborate with these findings. Specifically, Module 1 has shown significant connections to translational elongation and ribosomal functions ( Figure 4A ; Temaj et al, 2022 ), Module 2 is linked to histone function, activation of matrix metalloproteinases, and interferon signaling ( Figure 4B ; Jiao et al, 2014 ; Mittal et al, 2016 ; Ozkan and Bakar-Ates, 2020 ), Module 3 is primarily associated with mRNA regulation ( Figure 4C ; Teng et al, 2022 ), and Module 4 is chiefly related to chemokine activity ( Figure 4D ; Nicolau-Neto et al, 2018 ). Each of these modules seems to have a unique role in the progression of esophageal cancer.…”

Section: Discussionmentioning

confidence: 99%

Transcriptome profiling and analysis of patients with esophageal squamous cell carcinoma from Kazakhstan

Sharip,

Rakhimova,

Molkenov

et al. 2024

Front. Genet.

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Esophageal squamous cell carcinoma (ESCC) is the predominant subtype of esophageal cancer in Central Asia, often diagnosed at advanced stages. Understanding population-specific patterns of ESCC is crucial for tailored treatments. This study aimed to unravel ESCC’s genetic basis in Kazakhstani patients and identify potential biomarkers for early diagnosis and targeted therapies. ESCC patients from Kazakhstan were studied. We analyzed histological subtypes and conducted in-depth transcriptome sequencing. Differential gene expression analysis was performed, and significantly dysregulated pathways were identified using KEGG pathway analysis (p-value < 0.05). Protein-protein interaction networks were constructed to elucidate key modules and their functions. Among Kazakhstani patients, ESCC with moderate dysplasia was the most prevalent subtype. We identified 42 significantly upregulated and two significantly downregulated KEGG pathways, highlighting molecular mechanisms driving ESCC pathogenesis. Immune-related pathways, such as viral protein interaction with cytokines, rheumatoid arthritis, and oxidative phosphorylation, were elevated, suggesting immune system involvement. Conversely, downregulated pathways were associated with extracellular matrix degradation, crucial in cancer invasion and metastasis. Protein-protein interaction network analysis revealed four distinct modules with specific functions, implicating pathways in esophageal cancer development. High-throughput transcriptome sequencing elucidated critical molecular pathways underlying esophageal carcinogenesis in Kazakhstani patients. Insights into dysregulated pathways offer potential for early diagnosis and precision treatment strategies for ESCC. Understanding population-specific patterns is essential for personalized approaches to ESCC management.

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Section: Discussionmentioning

confidence: 99%

Transcriptome profiling and analysis of patients with esophageal squamous cell carcinoma from Kazakhstan

Sharip,

Rakhimova,

Molkenov

et al. 2024

Front. Genet.

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Construction of a prognostic model for lung adenocarcinoma based on m6A/m5C/m1A genes

Ding,

Teng,

Gao

et al. 2023

Human Molecular Genetics

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Background Developing a prognostic model for lung adenocarcinoma (LUAD) that utilizes m6A/m5C/m1A genes holds immense importance in providing precise prognosis predictions for individuals. Methods This study mined m6A/m5C/m1A-related differential genes in LUAD based on public databases, identified LUAD tumor subtypes based on these genes, and further built a risk prognostic model grounded in differential genes between subtypes. The immune status between high- and low-risk groups was investigated, and the distribution of feature genes in tumor immune cells was analyzed using single-cell analysis. Based on the expression levels of feature genes, a projection of chemotherapeutic and targeted drugs was made for individuals identified as high-risk. Ultimately, cell experiments were further verified. Results The 6-gene risk prognosis model based on differential genes between tumor subtypes had good predictive performance. Individuals classified as low-risk exhibited a higher (P < 0.05) abundance of infiltrating immune cells. Feature genes were mainly distributed in tumor immune cells like CD4+T cells, CD8+T cells, and regulatory T cells. Four drugs with relatively low IC50 values were found in the high-risk group: Elesclomol, Pyrimethamine, Saracatinib, and Temsirolimus. In addition, four drugs with significant positive correlation (P < 0.001) between IC50 values and feature gene expression were found, including Alectinib, Estramustine, Brigatinib, and Elesclomol. The low expression of key gene NTSR1 reduced the IC50 value of irinotecan. Conclusion Based on the m6A/m5C/m1A-related genes in LUAD, LUAD patients were divided into 2 subtypes, and a m6A/m5C/m1A-related LUAD prognostic model was constructed to provide a reference for the prognosis prediction of LUAD.

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The roles of RNA N6-methyladenosine in esophageal cancer

Cited by 2 publications

References 107 publications

Transcriptome profiling and analysis of patients with esophageal squamous cell carcinoma from Kazakhstan

Transcriptome profiling and analysis of patients with esophageal squamous cell carcinoma from Kazakhstan

Construction of a prognostic model for lung adenocarcinoma based on m6A/m5C/m1A genes

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