Evidence map›Paper›PMID 37072414›Full record

ArticleCell discovery2023

PHF14 enhances DNA methylation of SMAD7 gene to promote TGF-β-driven lung adenocarcinoma metastasis.

Han Tian, Chenying Liu, Jianchen Yu, Jian Han, Jianan Du, Shujun Liang, Wenting Wang, Qin Liu, Rong Lian, Ting Zhu and 9 more

Open access · goldAbstract read
In one paragraph

Article in Cell discovery, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
5.2field-weighted citation impact, top 4% of its field
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

23 citing papers in PubMed, 32 citations in OpenAlex.

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  6. Determining the Optimal Heparin Binding Domain Distance in VEGFInternational journal of molecular sciences · 2026
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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

19 authors at 5 institutions in 1 country.

Han Tian *Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, Guangdong, China.ORCID http://orcid.org/0000-0003-0218-7246
Chenying Liu *Department of Breast Pathology and Lab, Key Laboratory of Breast Cancer of Breast Cancer Prevention and Therapy, National Clinical Research Center of Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China.
Jianchen Yu *Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, Guangdong, China.
Jian HanCancer Institute, Southern Medical University, Guangzhou, Guangdong, China.
Jianan DuZhongshan School of Medicine, Sun Yat-sen University, Guangzhou, Guangdong, China.
Shujun LiangZhongshan School of Medicine, Sun Yat-sen University, Guangzhou, Guangdong, China.
Wenting WangZhongshan School of Medicine, Sun Yat-sen University, Guangzhou, Guangdong, China.
Qin LiuZhongshan School of Medicine, Sun Yat-sen University, Guangzhou, Guangdong, China.
Rong LianZhongshan School of Medicine, Sun Yat-sen University, Guangzhou, Guangdong, China.
Ting ZhuDepartment of Laboratory Medicine, Affiliated Cancer Hospital & Institute of Guangzhou Medical University, Guangzhou, Guangdong, China.
Shanshan WuDepartment of Biology, School of Basic Medical Science, Guangdong Medical University, Zhanjiang, Guangdong, China.
Tianyu TaoDepartment of Gastrointestinal Surgery, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China.
Yaokai YeZhongshan School of Medicine, Sun Yat-sen University, Guangzhou, Guangdong, China.
Jingjing ZhaoDepartment of Cardiology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China.
Yi YangZhongshan School of Medicine, Sun Yat-sen University, Guangzhou, Guangdong, China.
Xun ZhuZhongshan School of Medicine, Sun Yat-sen University, Guangzhou, Guangdong, China.
Junchao CaiZhongshan School of Medicine, Sun Yat-sen University, Guangzhou, Guangdong, China.ORCID http://orcid.org/0000-0001-8412-6177
Jueheng WuZhongshan School of Medicine, Sun Yat-sen University, Guangzhou, Guangdong, China.
Mengfeng LiZhongshan School of Medicine, Sun Yat-sen University, Guangzhou, Guangdong, China. limf@mail.sysu.edu.cn.ORCID http://orcid.org/0000-0002-5103-6367
Sun Yat-sen University · CNGuangdong Medical College · CNGuangzhou Medical University · CNSouthern Medical University · CNTianjin Medical University Cancer Institute and Hospital · CN

Funding

National Natural Science Foundation of China (National Science Foundation of China) 8203000838, 81820108025National Natural Science Foundation of China (National Science Foundation of China) 82172927
6 · The paper itself

Abstract

Aberrant activation of TGF-β signaling plays a pivotal role in cancer metastasis and progression. However, molecular mechanisms underlying the dysregulation of TGF-β pathway remain to be understood. Here, we found that SMAD7, a direct downstream transcriptional target and also a key antagonist of TGF-β signaling, is transcriptionally suppressed in lung adenocarcinoma (LAD) due to DNA hypermethylation. We further identified that PHF14 binds DNMT3B and serves as a DNA CpG motif reader, recruiting DNMT3B to the SMAD7 gene locus, resulting in DNA methylation and transcriptional suppression of SMAD7. Our in vitro and in vivo experiments showed that PHF14 promotes metastasis through binding DNMT3B to suppress SMAD7 expression. Moreover, our data revealed that PHF14 expression correlates with lowered SMAD7 level and shorter survival of LAD patients, and importantly that SMAD7 methylation level of circulating tumor DNA (ctDNA) can potentially be used for prognosis prediction. Together, our present study illustrates a new epigenetic mechanism, mediated by PHF14 and DNMT3B, in the regulation of SMAD7 transcription and TGF-β-driven LAD metastasis, and suggests potential opportunities for LAD prognosis.

Identifiers

PMID37072414
PMCPMC10113255
OpenAlexW4366273345

What OpenQuestion 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 OpenQuestion graph.