Evidence mapPaperPMID 41225436Full record

ArticleBMC cancer2025

KAT2A: a prognostic biomarker influencing proliferation and immune escape in lung adenocarcinoma.

Zhangmin Ke, Hao Xu, Kaikai Shen, Yuting Wen, Xia Pan, Zhenjue Qian, Li Wang, Suhua Zhu, Bing Wan, Yong Song

Abstract read
In one paragraph

Article in BMC cancer, 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

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.

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

10 authors.

Zhangmin Ke *Department of Respiratory and Critical Care Medicine, Jinling Hospital, Nanjing Medical University, Nanjing, 210002, China.
Hao Xu *Department of Respiratory and Critical Care Medicine, The People's Hospital of Danyang, Affiliated Danyang Hospital of Nantong University, Zhenjiang, 212300, China.
Kaikai ShenDepartment of Respiratory and Critical Care Medicine, Jinling Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, 210002, China.
Yuting WenDepartment of Respiratory and Critical Care Medicine, Affiliated Jiangning Hospital of Nanjing Medicine University, Nanjing, 211100, China.
Xia PanJiangning Clinical Medical School of Nanjing Medical University Kangda College, Nanjing, 211100, China.
Zhenjue QianDepartment of Respiratory and Critical Care Medicine, Affiliated Jiangning Hospital of Nanjing Medicine University, Nanjing, 211100, China.
Li WangDepartment of Respiratory and Critical Care Medicine, Affiliated Jiangning Hospital of Nanjing Medicine University, Nanjing, 211100, China.
Suhua ZhuDepartment of Respiratory and Critical Care Medicine, Jinling Hospital, Nanjing Medical University, Nanjing, 210002, China.
Bing WanDepartment of Respiratory and Critical Care Medicine, Affiliated Jiangning Hospital of Nanjing Medicine University, Nanjing, 211100, China. bingwan76@163.com.
Yong SongDepartment of Respiratory and Critical Care Medicine, Jinling Hospital, Nanjing Medical University, Nanjing, 210002, China. yong.song@nju.edu.cn.

Funding

Affiliated Jiangning Hospital of Nanjing Medical University Youth Innovation Scientific Research Project JNYYZXKY202416Nanjing Medical University Science and Technology Development Fund NMUB20240113Respiratory Disease - Jiangsu Province Medical Key Discipline Construction Unit JSDW202208Science Foundation of Kangda College of Nanjing Medical University KD2024KYJJ236the National Natural Science Foundation of China 82370096, 82172728
6 · The paper itself

Abstract

Lung adenocarcinoma (LUAD) is the most prevalent histological subtype of lung cancer, characterized by high mortality rates. KAT2A has been implicated in oncogenic processes and tumor progression. This study systematically investigated the role of KAT2A in LUAD through comprehensive analyses. Expression profiles and prognostic significance of KAT2A were evaluated using TCGA database and multiple GEO datasets. Functional enrichment analyses including GO and KEGG pathway analyses were conducted to elucidate biological mechanisms associated with KAT2A-regulated differentially expressed genes. Correlations between KAT2A expression levels and immune cell infiltration were analyzed using R software and publicly available databases. Experimental validation was performed through CCK-8 assays, colony formation assays, flow cytometry, and xenograft tumor models. Our findings demonstrated significantly elevated KAT2A expression in LUAD tissues and cells. Expression levels correlated with multiple clinicopathological parameters including TNM stage, pathological stage, sex, and tumor localization. High KAT2A expression was associated with reduced overall survival and exhibited prognostic relevance across diverse clinical subgroups. Multivariate analysis confirmed independent prognostic value of KAT2A expression in the established nomogram model. Functional annotation revealed enrichment of KAT2A-associated genes in critical biological processes and signaling pathways. Moreover, KAT2A expression exhibited correlations with mutational profiles and immune cell infiltration patterns in LUAD. Both in vitro and in vivo experiments demonstrated that KAT2A knockdown significantly suppressed tumor cell proliferation and immune evasion mechanisms, induced apoptosis, and inhibited tumor growth. These findings suggest that KAT2A may serve as a potential prognostic biomarker for LUAD, with therapeutic implications through its regulatory role in immune evasion pathways.

Indexed as

Adenocarcinoma of LungBiomarkers, TumorLung NeoplasmsTumor EscapeAnimalsCell Line, TumorCell ProliferationFemaleGene Expression Regulation, NeoplasticHumansMaleMiceMiddle AgedPrognosisXenograft Model Antitumor AssaysBiomarkers, TumorImmune evasionKAT2ALung adenocarcinomaPrognosis

Identifiers

PMID41225436
PMCPMC12613538

What Socratic holds

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LicenceCC BY
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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.