Evidence map›Paper›PMID 39711312›Full record

ArticleAnnals of medicine2025

Identification of ALDH7A1 as a DNA-methylation-driven gene in lung squamous cell carcinoma.

Gaofeng Liang, Jinxian He, Tian Chen, Liang Zhang, Kaizhong Yu, Weiyu Shen

Abstract read
In one paragraph

Article in Annals of medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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.

2 · The registry

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3 · Its place in the literature

Who cites it

10 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Gaofeng LiangDepartment of Thoracic Surgery, The Affiliated LiHuiLi Hospital of Ningbo University, Ningbo, Zhejiang, China.
Jinxian HeDepartment of Thoracic Surgery, The Affiliated LiHuiLi Hospital of Ningbo University, Ningbo, Zhejiang, China.
Tian ChenDepartment of Radiation Oncology, The Affiliated LiHuiLi Hospital of Ningbo University, Ningbo, Zhejiang, China.
Liang ZhangcDepartment of Respiratory Medicine, The Affiliated LiHuiLi Hospital of Ningbo University, Ningbo, Zhejiang, China.
Kaizhong YuDepartment of Thoracic Surgery, The Affiliated LiHuiLi Hospital of Ningbo University, Ningbo, Zhejiang, China.
Weiyu ShenDepartment of Thoracic Surgery, The Affiliated LiHuiLi Hospital of Ningbo University, Ningbo, Zhejiang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDeoxyribose nucleic acid (DNA) methylation is an important epigenetic modification that plays an important role in the occurrence and development of tumors. Identifying key methylation-driven genes that affect the prognosis of lung squamous cell carcinoma (LUSC) can provide direction for targeted therapy research. METHODS AND

resultsMethylation and RNA-seq data were downloaded from The Cancer Genome Atlas (TCGA). The MethylMix package was used to integrate and analyze the methylation and gene expression data from TCGA, and the LUSC dataset (GSE37745) was downloaded from GEO for validation. Forty-five DNA-methylation-driven genes (MDGs) were obtained, and 3 genes (TRIM61, SMIM22, and ALDH7A1) were significantly associated with survival by using univariate and multivariate Cox regression. A risk model was constructed. KM analysis showed that patients with high-risk scores had poor survival. A nomination plot for prognosis prediction of LUSC patients was constructed, which showed a good predictive efficiency for tumor prognosis. The high expression of ALDH7A1 was an independent risk factor for poor prognosis in LUSC. The expression of ALDH7A1 in LUSC was negatively correlated with its methylation status (COR = -0.655). GSEA analysis showed that high expression of ALDH7A1 could activate multiple signaling pathways (JAK-STAT signaling pathway and mTOR signaling pathway).

conclusionOur results indicated that ALDH7A1, a newly discovered MDG in LUSC, could act as an independent prognostic factor for OS in LUSC, with the potential to become a potential target for LUSC diagnosis and treatment. High expression of ALDH7A1 in LUSC could promote the occurrence and development of tumors. Signaling pathways, such as JAK-STAT and mTOR signaling pathways, might regulate the high expression of ALDH7A1.

Indexed as

Carcinoma, Squamous CellDNA MethylationGene Expression Regulation, NeoplasticLung NeoplasmsAldehyde DehydrogenaseBiomarkers, TumorCell Line, TumorFemaleHumansMaleMiddle AgedPrognosisSignal TransductionAldehyde DehydrogenaseALDH7A1 protein, humanBiomarkers, TumorALDH7ADNA methylationLung squamous cell carcinomamethylation driver genesurvival analysis

Identifiers

PMID39711312
PMCPMC11703541

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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.