Evidence map›Paper›PMID 38990269›Full record

ArticleDigestive diseases and sciences2024

NAT10 Overexpression Promotes Tumorigenesis and Epithelial-Mesenchymal Transition Through AKT Pathway in Gastric Cancer.

Shenglei Song, Bo Li, Xinghan Jin, Huan Li, Huijin Wang, Fuhui Wang, Yulong He, Changhua Zhang

Abstract read
PubMed Publisher
In one paragraph

Article in Digestive diseases and sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. The NAT10/acCell communication and signaling : CCS · 2026
    Review
  5. Review
  6. Functional roles and mechanisms of NAT10-mediated RNA acFrontiers in cell and developmental biology · 2026
    Review
  7. Review
  8. 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

8 authors.

Shenglei SongGuangdong Provincial Key Laboratory of Digestive Cancer Research, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, 518107, People's Republic of China.
Bo LiGuangdong Provincial Key Laboratory of Digestive Cancer Research, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, 518107, People's Republic of China.
Xinghan JinDepartment of Gastrointestinal Surgery, The Eighth Affiliated Hospital of Sun Yat-sen University, Shenzhen, 518107, People's Republic of China.
Huan LiGuangdong Provincial Key Laboratory of Digestive Cancer Research, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, 518107, People's Republic of China.
Huijin WangDepartment of Breast and Thyroid Surgery, Guangzhou Women and Children's Medical Center, Guangzhou, 510623, People's Republic of China.
Fuhui WangGuangdong Provincial Key Laboratory of Digestive Cancer Research, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, 518107, People's Republic of China.
Yulong HeGuangdong Provincial Key Laboratory of Digestive Cancer Research, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, 518107, People's Republic of China.
Changhua ZhangGuangdong Provincial Key Laboratory of Digestive Cancer Research, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, 518107, People's Republic of China. zhchangh@mail.sysu.edu.cn.

Funding

Guangdong-Hong Kong-Macau University Joint Laboratory of Digestive Cancer Research 2021LSYS003Guangdong Provincial Key Laboratory of Digestive Cancer Research 2021B1212040006National Natural Science Foundation of China Grant Nos. U20A20379Sanming Project of Medicine in Shenzhen SZSM201911010Shenzhen-Hong Kong-Macau Technology Research Programme (Type C) SGDX2020110309260100Shenzhen Key Medical Discipline Construction Fund SZXK016Shenzhen Sustainable Project KCXFZ202002011010593
6 · The paper itself

Abstract

backgroundN-acetyltransferase 10 (NAT10), the only RNA cytosine acetyltransferase known in humans, contributes to cancer tumorigenesis and progression. This study aims to investigate the effect of NAT10 on the malignant biological properties of gastric cancer (GC) and its underlying mechanism.

methodsThe expression and prognostic significance of NAT10 in GC were analyzed using The Cancer Genome Atlas (TCGA) and Sun Yat-sen University (SYSU) cohorts. The influence of NAT10 on the malignant biological behaviors of GC was detected by Cell Counting Kit-8 (CCK-8) assay, plate colony formation assay, 5-ethynyl-2'-deoxyuridine (EdU), Transwell migration and invasion assays, scratch wound assay, flow cytometric analysis, and animal studies. The overall level of N4 acetylcytidine (ac4C) in GC was detected by liquid chromatography with tandem mass spectrometry (LC-MS/MS). The downstream signal pathways of NAT10 were analyzed by Gene Set Enrichment Analysis (GSEA) and verified by Western blot (WB) and immunofluorescence (IF).

resultsThe significant upregulation of NAT10 expression in GC was associated with a poor prognosis. The knockdown of NAT10 markedly suppressed GC cell proliferation, migration, invasion, and cell cycle progression. Downregulating NAT10 reduced ac4C levels and inhibited AKT phosphorylation and epithelial-mesenchymal transition (EMT) in GC.

conclusionsNAT10 functions as an oncogene and may provide a new therapeutic target in GC.

Indexed as

Epithelial-Mesenchymal TransitionProto-Oncogene Proteins c-aktSignal TransductionStomach NeoplasmsAnimalsCarcinogenesisCell Line, TumorCell MovementCell ProliferationFemaleGene Expression Regulation, NeoplasticHumansMaleMiceMice, NudeN-Terminal Acetyltransferase ENAT10 protein, humanN-Terminal Acetyltransferase EN-Terminal AcetyltransferasesProto-Oncogene Proteins c-aktAKTEMTGastric cancerNAT10Prognosis

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.