ArticlePloS one2025
Analyses of the roles and potential targets of m7G-related genes in colorectal cancer using single-cell and bulk RNA sequencing data.
Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe pathogenesis of colorectal cancer is complex and difficult to treat, and there is a risk of metastasis and recurrence. m7G modification as a kind of RNA modification has been widely concerned in the field of tumor. However, there are few research in the field of CRC. This study aims to elucidate the effects of m7G modification on CRC from the perspective of single cell transcriptome and search for potential therapeutic targets.
methodsWe downloaded the single cell dataset using the GEO database and processed the data using the Seurat R package. gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) were used to analyze differential genes. CellChat is used for cell communication analysis. NMF differentiates subtypes. CIBERSORT and xcell are used to analyze immune cells. Lasso COX regression was used to search for hub genes. We explored the biological functions of NUDT10 utilizing biological experiments.
resultsMost m7G-related modification genes were significantly higher in expression in tumor tissues compared to normal tissues, primarily within epithelial cells. The DEGs of m7G-related genes expressed were mainly enriched in inflammation and metabolic pathways. NCBP2 and EIF3D could promote the occurrence and development of malignant epithelial tumor cells. In cellchat, m7G-related genes high group showed stronger interactions. m7G also affects tumor immune microenvironment and metabolism. In addition, seven genes were chosen for prognostic model construction. Biological experiments have demonstrated that NUDT10 promotes CRC progression.
conclusionThis research revealed tumor growth and microenvironment changes mediated by m7G modification and constructed a prognostic model based on the hub genes, which will guide further exploration of m7G modification.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.