Evidence map›Paper›PMID 41298629›Full record

ArticleScientific reports2025

A lactylation-related gene signature predicts metastasis and prognosis in breast cancer.

Zhouna Sun, Linghui Yu, Tianqi Wu, Lingli Chen, Junjie Mao, Aiguo Shen, Hongyan Qian

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
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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

7 authors.

Zhouna Sun *Department of Cancer Research Center, Nantong Tumor Hospital, Affiliated Tumor Hospital of Nantong University, Nantong, 226361, China.
Linghui Yu *Nursing Department, Nantong Tumor Hospital, Affiliated Tumor Hospital of Nantong University, Nantong, 226361, China.
Tianqi WuSchool of Medicine, Nantong University, Nantong, 226001, China.
Lingli ChenDepartment of Breast Surgery, Nantong Tumor Hospital, Affiliated Tumor Hospital of Nantong University, Nantong, 226361, China.
Junjie MaoDepartment of Cancer Research Center, Nantong Tumor Hospital, Affiliated Tumor Hospital of Nantong University, Nantong, 226361, China.
Aiguo ShenDepartment of Cancer Research Center, Nantong Tumor Hospital, Affiliated Tumor Hospital of Nantong University, Nantong, 226361, China.
Hongyan QianDepartment of Cancer Research Center, Nantong Tumor Hospital, Affiliated Tumor Hospital of Nantong University, Nantong, 226361, China. qhy672041647@stmail.ntu.edu.cn.

Funding

Health Commission key project of Jiangsu Province ZD2022039Health Committee of Nantong MS2023060Health Committee of Nantong QN2023027Nantong Medical Young Talents grant Science and Education no.(2023)19Natural Science Foundation of Jiangsu Province BK20221275
6 · The paper itself

Abstract

Breast cancer (BC) remains one of the most prevalent and deadly cancers among women worldwide. Nearly one-third of early-stage cases eventually develop metastases, dropping the five-year survival rate to just 24%. Lactylation plays an important role in various tumor metastases, but its role in breast cancer is not yet fully understood. Here, we developed a prognostic model based on lactylation-related genes using data from The Cancer Genome Atlas (TCGA), validated by three Gene Expression Omnibus (GEO) datasets. Functional enrichment analysis identified key biological processes, and further analyses explored associations with clinical characteristics, immune cell infiltration, drug sensitivity, and molecular docking affinities. Finally, we further verified the functional role of lactylation and prognostic genes through experimental verification. Our study demonstrates that lactylation-related genes serve as predictive biomarkers for BC metastasis and proposed novel therapeutic targets for further clinical intervention.

Indexed as

Breast NeoplasmsTranscriptomeBiomarkers, TumorFemaleGene Expression ProfilingGene Expression Regulation, NeoplasticHumansMolecular Docking SimulationNeoplasm MetastasisPrognosisBiomarkers, TumorBreast cancerImmune microenvironmentLactylationMetastasisPrognostic biomarker

Identifiers

PMID41298629
PMCPMC12658178

What Socratic holds

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LicenceCC BY-NC-ND
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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.