Evidence map›Paper›PMID 30683916›Full record

ArticleCell death and differentiation2019

MALAT1-KTN1-EGFR regulatory axis promotes the development of cutaneous squamous cell carcinoma.

Ying Zhang, Lin Gao, Shudong Ma, Ji Ma, Yinghui Wang, Shanshan Li, Xia Hu, Shuo Han, Meijuan Zhou, Liang Zhou and 1 more

Open access · hybridAbstract read
In one paragraph

Article in Cell death and differentiation, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers.

0numbers the graph read from it
0cells of the map it votes in
40citing papers in PubMed
2.3field-weighted citation impact, top 12% 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

40 citing papers in PubMed, 56 citations in OpenAlex.

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  13. LncRNA BCAN-AS1 stabilizes c-Myc via NCell death and differentiation · 2023
    Article
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  19. Article
  20. Molecular Mechanisms of Cutaneous Squamous Cell Carcinoma.International journal of molecular sciences · 2022
    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

11 authors at 1 institution in 1 country.

Ying ZhangDepartment of Radiation Medicine, Guangdong Provincial Key Laboratory of Tropical Disease Research, School of Public Health, Southern Medical University, Guangzhou, 510515, China.
Lin GaoDepartment of Radiation Medicine, Guangdong Provincial Key Laboratory of Tropical Disease Research, School of Public Health, Southern Medical University, Guangzhou, 510515, China.
Shudong MaDepartment of Oncology, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, China.
Ji MaDepartment of Radiation Medicine, Guangdong Provincial Key Laboratory of Tropical Disease Research, School of Public Health, Southern Medical University, Guangzhou, 510515, China.
Yinghui WangDepartment of Radiation Medicine, Guangdong Provincial Key Laboratory of Tropical Disease Research, School of Public Health, Southern Medical University, Guangzhou, 510515, China.
Shanshan LiDepartment of Radiation Medicine, Guangdong Provincial Key Laboratory of Tropical Disease Research, School of Public Health, Southern Medical University, Guangzhou, 510515, China.
Xia HuDepartment of Radiation Medicine, Guangdong Provincial Key Laboratory of Tropical Disease Research, School of Public Health, Southern Medical University, Guangzhou, 510515, China.
Shuo HanDepartment of Radiation Medicine, Guangdong Provincial Key Laboratory of Tropical Disease Research, School of Public Health, Southern Medical University, Guangzhou, 510515, China.
Meijuan ZhouDepartment of Radiation Medicine, Guangdong Provincial Key Laboratory of Tropical Disease Research, School of Public Health, Southern Medical University, Guangzhou, 510515, China.
Liang ZhouDepartment of Radiation Medicine, Guangdong Provincial Key Laboratory of Tropical Disease Research, School of Public Health, Southern Medical University, Guangzhou, 510515, China. zhzliang@smu.edu.cn.
Zhenhua DingDepartment of Radiation Medicine, Guangdong Provincial Key Laboratory of Tropical Disease Research, School of Public Health, Southern Medical University, Guangzhou, 510515, China. dingzh@smu.edu.cn.
Southern Medical University · CN

Funding

Guangdong Science and Technology Department (Science and Technology Department, Guangdong Province) 2016A030313738National Natural Science Foundation of China (National Science Foundation of China) 81172634National Natural Science Foundation of China (National Science Foundation of China) 81573076
6 · The paper itself

Abstract

Long noncoding RNAs (LncRNAs), including MALAT1, are critical regulators of tumor development. However, the roles and molecular mechanisms of LncRNAs in cutaneous squamous cell carcinoma (cSCC) remain underexplored. In this study, functional studies using in vitro cellular and in vivo xenograft models confirmed the pro-carcinogenic roles of MALAT1 in cSCC. Further, MALAT1 was identified to regulate epidermal growth factor receptor (EGFR) protein expression but did not affect EGFR mRNA expression. Transcriptomic sequencing identified kinectin 1 (KTN1) as the key mediator for MALAT1 regulation of EGFR. Mechanistic study revealed that MALAT1 interacts with c-MYC to form a complex and directly binds to the promoter region of KTN1 gene and enhances its transactivation to positively regulate EGFR protein expression. Our findings, therefore, establish a novel c-MYC-assisted MALAT1-KTN1-EGFR axis, which contributes to cSCC development and may serve as novel target for therapeutic intervention.

Indexed as

Carcinoma, Squamous CellCell Line, TumorCell ProliferationErbB ReceptorsHumansMembrane ProteinsRNA, Long NoncodingSignal TransductionSkin NeoplasmsEGFR protein, humanErbB ReceptorsKTN1 protein, humanMALAT1 long non-coding RNA, humanMembrane ProteinsRNA, Long Noncoding

Identifiers

PMID30683916
PMCPMC6748142
OpenAlexW2914191201

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.