ArticleCancers2022
A Novel m7G-Related Gene Signature Predicts the Prognosis of Colon Cancer.
Article in Cancers, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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The trial behind it
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Who cites it
11 citing papers in PubMed, 13 citations in OpenAlex.
- N7-Methylguanosine Modification in Colorectal Cancer: Molecular Insights and Clinical Implications.International journal of molecular sciences · 2026Review
- Tumor-associated characteristics and immune dysregulation in nasopharyngeal carcinoma under the regulation of m7G-related tumor microenvironment cells.World journal of surgical oncology · 2024Article
- M7G-related tumor immunity: novel insights of RNA modification and potential therapeutic targets.International journal of biological sciences · 2024Review
- RNA modifications in cancer immune therapy: regulators of immune cells and immune checkpoints.Frontiers in immunology · 2024Review
- A novel m7G-related miRNA prognostic signature for predicting clinical outcome and immune microenvironment in colon cancer.Journal of Cancer · 2024Article
- CD39 identifies a specific CD8 + T cell population in lung adenocarcinoma-related metastatic pleural effusion.BMC immunology · 2023Article
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- Identification and prediction of m7G-related Alzheimer's disease subtypes: insights from immune infiltration and machine learning models.Frontiers in aging neuroscience · 2023Article
- Editorial: Complexity of tumor microenvironment: A major culprit in cancer development, volume II.Frontiers in endocrinology · 2022Article
- Identification of m1A/m6A/m5C/m7G-related genes and clusters associated with neuropathic pain.Frontiers in neurologyArticle
Corrections and comments
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Authors and funding
11 authors at 1 institution in 1 country.
Funding
Abstract
Colon cancer (CC), one of the most common malignancies worldwide, lacks an effective prognostic prediction biomarker. N7-methylguanosine (m7G) methylation is a common RNA modification type and has been proven to influence tumorigenesis. However, the correlation between m7G-related genes and CC remains unclear. The gene expression levels and clinical information of CC patients were downloaded from public databases. Twenty-nine m7G-related genes were obtained from the published literature. Via unsupervised clustering based on the expression levels of m7G-related genes, CC patients were divided into three m7G clusters. Based on differentially expressed genes (DEGs) from the above three groups, CC patients were further divided into three gene clusters. The m7G score, a prognostic model, was established using principal component analysis (PCA) based on 15 prognosis-associated m7G genes. KM curve analysis demonstrated that the overall survival rate was remarkably higher in the high-m7G score group, which was much more significant in advanced CC patients as confirmed by subgroup analysis. Correlation analysis indicated that the m7G score was associated with tumor mutational burden (TMB), PD-L1 expression, immune infiltration, and drug sensitivity. The expression level of prognosis-related m7G genes was further confirmed in human CC cell lines and samples. This study established an m7G gene-based prognostic model (m7G score), which demonstrated the important roles of m7G-related genes during CC initiation and progression. The m7G score could be a practical biomarker to predict immunotherapy response and prognosis in CC patients.
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