Evidence map›Paper›PMID 34520284›Full record

ArticleTechnology in cancer research & treatment

MiR-9-1 Suppresses Cell Proliferation and Promotes Apoptosis by Targeting UHRF1 in Lung Cancer.

Cheng-You Jia, Wei Xiang, Ji-Bin Liu, Geng-Xi Jiang, Feng Sun, Jian-Jun Wu, Xiao-Li Yang, Rui Xin, Yi Shi, Dan-Dan Zhang and 10 more

Open access · goldAbstract read
In one paragraph

Article in Technology in cancer research & treatment. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.7field-weighted citation impact, top 37% 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

5 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. Article
  3. Advances of E3 ligases in lung cancer.Biochemistry and biophysics reports · 2024
    Review
  4. Article
  5. 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

20 authors at 6 institutions in 2 countries.

Cheng-You JiaShanghai Tenth People's Hospital, 278245Tongji University School of Medicine, Shanghai, China.
Wei XiangShanghai Punan Hospital, Shanghai, China.
Ji-Bin LiuCancer Institute, 377323Affiliated Tumor Hospital of Nantong University, Nantong, China.
Geng-Xi JiangNavy Military Medical University Affiliated Changhai Hospital, Shanghai, China.
Feng SunCancer Institute, 377323Affiliated Tumor Hospital of Nantong University, Nantong, China.
Jian-Jun WuNantong Haimen Yuelai Health Centre, Haimen, China.
Xiao-Li YangShanghai Tenth People's Hospital, 278245Tongji University School of Medicine, Shanghai, China.
Rui XinShanghai Tenth People's Hospital, 278245Tongji University School of Medicine, Shanghai, China.
Yi ShiShanghai Tenth People's Hospital, 278245Tongji University School of Medicine, Shanghai, China.
Dan-Dan ZhangShanghai Tenth People's Hospital, 278245Tongji University School of Medicine, Shanghai, China.
Wen Li12571Central South University of Forestry and Technology, Changsha, Hunan, China.
Zavuga ZuberiDares Salaam Institute of Technology, Salaam, Tanzania.
Jie ZhangSchool of Medicine, Nantong University, Nantong, China.
Gai-Xia LuShanghai Tenth People's Hospital, 278245Tongji University School of Medicine, Shanghai, China.
Hui-Min WangShanghai Tenth People's Hospital, 278245Tongji University School of Medicine, Shanghai, China.
Pei-Yao WangShanghai Tenth People's Hospital, 278245Tongji University School of Medicine, Shanghai, China.
Fei YuShanghai Tenth People's Hospital, 278245Tongji University School of Medicine, Shanghai, China.
Zhong-Wei LvShanghai Tenth People's Hospital, 278245Tongji University School of Medicine, Shanghai, China.
Yu-Shui MaShanghai Tenth People's Hospital, 278245Tongji University School of Medicine, Shanghai, China.
Da FuShanghai Tenth People's Hospital, 278245Tongji University School of Medicine, Shanghai, China.ORCID 0000-0002-0878-2575
Tongji University · CNNantong University · CNCentral South University of Forestry and Technology · CNDar es Salaam Institute of Technology · TZPunan Hospital · CNSecond Military Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lung cancer is listed as the most common reason for cancer-related death all over the world despite diagnostic improvements and the development of chemotherapy and targeted therapies. MicroRNAs control both physiological and pathological processes including development and cancer. A microRNA-9 to 1 (miR-9 to 1) overexpression model in lung cancer cell lines was established and miR-9 to 1 was found to significantly suppress the proliferation rate in lung cancer cell lines, colony formation in vitro, and tumorigenicity in nude mice of A549 cells. Ubiquitin-like containing PHD and RING finger domains 1 (UHRF1) was then identified to direct target of miR-9 to 1. The inhibition of UHRF1 by miR-9 to 1 causes G1 arrest and p15, p16, and p21 were re-expressed in miR-9 to 1 group in mRNA level and protein level. Silence of UHRF1 expression in A549 cells resulted in the similar re-expression of p15, p16, p21 which is similar with miR-9 to 1 infection. Therefore, we concluded that UHRF1 is a new target for miR-9 to 1 to suppress cell proliferation by re-expression of tumor suppressors p15, p16, and p21 mediated by UHRF1.

Indexed as

Gene Expression Regulation, NeoplasticRNA InterferenceAdultAgedAnimalsApoptosisCCAAT-Enhancer-Binding ProteinsCell Line, TumorCell MovementCell ProliferationComputational BiologyDisease Models, AnimalFemaleGene Expression ProfilingGenes, ReporterHeterograftsCCAAT-Enhancer-Binding ProteinsMicroRNAsMIRN92 microRNA, humanUbiquitin-Protein LigasesUHRF1 protein, humanapoptosislung cancermiR-9 to 1proliferationUHRF1

Identifiers

PMID34520284
PMCPMC8445543
OpenAlexW3199979600

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.