Evidence map›Paper›PMID 29025423›Full record

ArticleMolecular cancer2017

Downregulation of NMI promotes tumor growth and predicts poor prognosis in human lung adenocarcinomas.

Jingshu Wang, Kun Zou, Xu Feng, Miao Chen, Cong Li, Ranran Tang, Yang Xuan, Meihua Luo, Wangbing Chen, Huijuan Qiu and 10 more

Open access · goldAbstract read
In one paragraph

Article in Molecular cancer, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing 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

24 citing papers in PubMed, 46 citations in OpenAlex.

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  17. MiR-96-5p Facilitates Lung Adenocarcinoma Cell Phenotypes by Inhibiting FHL1.Computational and mathematical methods in medicine · 2022
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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

20 authors at 8 institutions in 1 country.

Jingshu WangSun Yat-sen University Cancer Center; State Key Laboratory of Oncology in South China; Collaborative Innovation Center of Cancer Medicine, Guangzhou, China.
Kun ZouThe First Affiliated Hospital of Dalian Medical University, Dalian, China.
Xu FengInstitute of Cancer Stem Cell, Dalian Medical University, Dalian, China.
Miao ChenSun Yat-sen University Cancer Center; State Key Laboratory of Oncology in South China; Collaborative Innovation Center of Cancer Medicine, Guangzhou, China.
Cong LiSun Yat-sen University Cancer Center; State Key Laboratory of Oncology in South China; Collaborative Innovation Center of Cancer Medicine, Guangzhou, China.
Ranran TangInstitute of Cancer Stem Cell, Dalian Medical University, Dalian, China.
Yang XuanInstitute of Cancer Stem Cell, Dalian Medical University, Dalian, China.
Meihua LuoShunde Hospital, Southern Medical University, Foshan, China.
Wangbing ChenCancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Huijuan QiuSun Yat-sen University Cancer Center; State Key Laboratory of Oncology in South China; Collaborative Innovation Center of Cancer Medicine, Guangzhou, China.
Ge QinSun Yat-sen University Cancer Center; State Key Laboratory of Oncology in South China; Collaborative Innovation Center of Cancer Medicine, Guangzhou, China.
Yixin LiSun Yat-sen University Cancer Center; State Key Laboratory of Oncology in South China; Collaborative Innovation Center of Cancer Medicine, Guangzhou, China.
Changlin ZhangSun Yat-sen University Cancer Center; State Key Laboratory of Oncology in South China; Collaborative Innovation Center of Cancer Medicine, Guangzhou, China.
Binyi XiaoSun Yat-sen University Cancer Center; State Key Laboratory of Oncology in South China; Collaborative Innovation Center of Cancer Medicine, Guangzhou, China.
Lan KangInstitute of Cancer Stem Cell, Dalian Medical University, Dalian, China.
Tiebang KangSun Yat-sen University Cancer Center; State Key Laboratory of Oncology in South China; Collaborative Innovation Center of Cancer Medicine, Guangzhou, China.
Wenlin HuangSun Yat-sen University Cancer Center; State Key Laboratory of Oncology in South China; Collaborative Innovation Center of Cancer Medicine, Guangzhou, China.
Xinfa YuShunde Hospital, Southern Medical University, Foshan, China. yuxfa@126.com.
Xiaojun WuSun Yat-sen University Cancer Center; State Key Laboratory of Oncology in South China; Collaborative Innovation Center of Cancer Medicine, Guangzhou, China. wuxj@sysucc.org.cn.
Wuguo DengSun Yat-sen University Cancer Center; State Key Laboratory of Oncology in South China; Collaborative Innovation Center of Cancer Medicine, Guangzhou, China. dengwg@sysucc.org.cn.
Sun Yat-sen University · CNDalian Medical University · CNSun Yat-sen University Cancer Center · CNHuazhong University of Science and Technology · CNSouthern Medical University · CNState Key Laboratory of Oncology in South ChinaSun Yat-sen Memorial Hospital · CNThe First People's Hospital of Shunde · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundN-myc (and STAT) interactor (NMI) plays vital roles in tumor growth, progression, and metastasis. In this study, we identified NMI as a potential tumor suppressor in lung cancer and explored its molecular mechanism involved in lung cancer progression.

methodsHuman lung cancer cell lines and a mouse xenograft model was used to study the effect of NMI on tumor growth. The expression of NMI, COX-2 and relevant signaling proteins were examined by Western blot. Tissue microarray immunohistochemical analysis was performed to assess the correlation between NMI and COX-2 expression in lung cancer patients.

resultsNMI was highly expressed in normal lung cells and tissues, but lowly expressed in lung cancer cells and tissues. Overexpression of NMI induced apoptosis, suppressed lung cancer cell growth and migration, which were mediated by up-regulation of the cleaved caspase-3/9 and down-regulation of phosphorylated PI3K/AKT, MMP2/MMP9, β-cadherin, and COX-2/PGE2. In contrast, knockdown of NMI promoted lung cancer cell colony formation and migration, which were correlated with the increased expression of phosphorylated PI3K/AKT, MMP2/MMP9, β-cadherin and COX-2/PGE2. Further study showed that NMI suppressed COX-2 expression through inhibition of the p50/p65 NF-κB acetylation mediated by p300. The xenograft lung cancer mouse models also confirmed the NMI-mediated suppression of tumor growth by inhibiting COX-2 signaling. Moreover, tissue microarray immunohistochemical analysis of lung adenocarcinomas also demonstrated a negative correlation between NMI and COX-2 expression. Kaplan-Meier analysis indicated that the patients with high level of NMI had a significantly better prognosis.

conclusionsOur study showed that NMI suppressed tumor growth by inhibiting PI3K/AKT, MMP2/MMP9, COX-2/PGE2 signaling pathways and p300-mediated NF-κB acetylation, and predicted a favorable prognosis in human lung adenocarcinomas, suggesting that NMI was a potential tumor suppressor in lung cancer.

Indexed as

Gene Expression Regulation, NeoplasticAdenocarcinomaAdenocarcinoma of LungAdultAgedAnimalsApoptosisBiomarkers, TumorCell Line, TumorCell MovementCell ProliferationCell SurvivalCyclooxygenase 2DinoprostoneDisease Models, AnimalDown-RegulationBiomarkers, TumorCyclooxygenase 2DinoprostoneE1A-Associated p300 ProteinEP300 protein, humanIntracellular Signaling Peptides and ProteinsNF-kappa BNMI protein, humanCOX-2Lung cancerNF-κBNMIp300

Identifiers

PMID29025423
PMCPMC5639741
OpenAlexW2761155767

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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.