Evidence map›Paper›PMID 40964497›Full record

ArticleCancer management and research2025

Bioinformatics Analysis and Experimental Validation of Lactylation Related Genes in Lung Adenocarcinoma.

Li Gao, Yadi Zhang, Fengrui Wu, Bin Liu, Xin Xie

Abstract read
In one paragraph

Article in Cancer management and research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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

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.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Li Gao *Department of Respiratory and Critical Care Medicine, Fuyang People's Hospital, Fuyang, Anhui, 236012, People's Republic of China.
Yadi Zhang *Anhui Province Key Laboratory of Pollution Damage and Biological Control for Huaihe River Basin, Fuyang Normal University, Fuyang, Anhui, 236041, People's Republic of China.ORCID 0009-0000-9887-6331
Fengrui WuAnhui Province Key Laboratory of Pollution Damage and Biological Control for Huaihe River Basin, Fuyang Normal University, Fuyang, Anhui, 236041, People's Republic of China.ORCID 0000-0002-6130-1611
Bin LiuDepartment of Respiratory and Critical Care Medicine, Fuyang People's Hospital, Fuyang, Anhui, 236012, People's Republic of China.
Xin XieAnhui Province Key Laboratory of Pollution Damage and Biological Control for Huaihe River Basin, Fuyang Normal University, Fuyang, Anhui, 236041, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Lactylation, a novel post-translational modification, is dysregulated in various tumors and influences lung cancer progression. However, its role in lung adenocarcinoma (LUAD) remains unclear. Based on multi-omics analysis results, this study investigated lactylation levels in LUAD tissues and explored the dual research positioning of lactylation as a prognostic marker and therapeutic target. Methods: Lactylation levels in LUAD tissue microarrays were assessed using immunohistochemistry and immunofluorescence. Western blot analysis validated these findings. Differential expression analysis of lactylation-related genes was conducted using The Cancer Genome Atlas (TCGA, n=365), based on |log2 fold-change (FC)|≥2. KEGG pathway analysis identified key biological pathways, and COX regression analysis pinpointed prognostic genes. Single-cell RNA sequencing data from the GEO database validated these genes, with mitochondrial gene threshold <20%. Results: Lactylation levels were significantly elevated in LUAD tissues compared to adjacent non-cancerous tissues, as shown by immunohistochemistry and confirmed by Western blot analysis. Differential analysis identified 17 lactylation-related genes enriched in pathways such as AMPK signaling and cellular senescence. COX regression analysis identified five risk genes: KIF2C, MKI67, HMGA1, PFKP, and CCNA2. Validation with single-cell RNA sequencing data revealed high expression levels of these genes in LUAD tissues and the LUAD cell line H1299. Functional validation revealed that the 5 genes panel significantly regulates global lactylation modification in vitro. Conclusion: LUAD tissues exhibit elevated lactylation levels, suggesting their potential as prognostic biomarkers. The identified genes-KIF2C, MKI67, HMGA1, PFKP, and CCNA2-are highly expressed in cancerous tissues and correlate with LUAD prognosis. These findings highlight their value as tumor biomarkers and therapeutic targets, offering new opportunities for targeted LUAD treatments.

Indexed as

lactylationLUADprognostic signaturesingle-cell sequencing

Identifiers

PMID40964497
PMCPMC12439706

What Socratic holds

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LicenceCC BY-NC
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Registered trials

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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 Socratic graph.