Evidence map›Paper›PMID 26733181›Full record

ArticleTumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine2016

Transcriptional profiling revealed the anti-proliferative effect of MFN2 deficiency and identified risk factors in lung adenocarcinoma.

Yuqing Lou, Yanwei Zhang, Rong Li, Ping Gu, Liwen Xiong, Hua Zhong, Wei Zhang, Baohui Han

Abstract readComparative Study
PubMed Publisher
In one paragraph

Article in Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine, 2016. 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
1.0field-weighted citation impact, top 22% 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.

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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

8 authors at 1 institution in 1 country.

Yuqing LouDepartment of Pulmonary, Shanghai Chest Hospital, Shanghai Jiaotong University, 241 West Huaihai Road, Shanghai, 200030, People's Republic of China.
Yanwei ZhangDepartment of Pulmonary, Shanghai Chest Hospital, Shanghai Jiaotong University, 241 West Huaihai Road, Shanghai, 200030, People's Republic of China.
Rong LiDepartment of Pulmonary, Shanghai Chest Hospital, Shanghai Jiaotong University, 241 West Huaihai Road, Shanghai, 200030, People's Republic of China.
Ping GuDepartment of Pulmonary, Shanghai Chest Hospital, Shanghai Jiaotong University, 241 West Huaihai Road, Shanghai, 200030, People's Republic of China.
Liwen XiongDepartment of Pulmonary, Shanghai Chest Hospital, Shanghai Jiaotong University, 241 West Huaihai Road, Shanghai, 200030, People's Republic of China.
Hua ZhongDepartment of Pulmonary, Shanghai Chest Hospital, Shanghai Jiaotong University, 241 West Huaihai Road, Shanghai, 200030, People's Republic of China.
Wei ZhangDepartment of Pulmonary, Shanghai Chest Hospital, Shanghai Jiaotong University, 241 West Huaihai Road, Shanghai, 200030, People's Republic of China. zhwei2002@hotmail.com.
Baohui HanDepartment of Pulmonary, Shanghai Chest Hospital, Shanghai Jiaotong University, 241 West Huaihai Road, Shanghai, 200030, People's Republic of China. xkyyhan@gmail.com.
Shanghai Chest Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mitofusin-2 (MFN2) was initially identified as a hyperplasia suppressor in hyper-proliferative vascular smooth muscle cells (VSMCs) of hypertensive rat arteries, which has also been implicated in various cancers. There exists a controversy in whether it is an oncogene or exerting anti-proliferative effect on tumor cells. Our previous cell cycle analysis and MTT assay showed that cell proliferation was inhibited in MFN2 deficient A549 human lung adenocarcinoma cells, without investigating the changes in regulatory network or addressing the underlying mechanisms. Here, we performed expression profiling in MFN2 knockdown A549 cells and found that cancer-related pathways were among the most susceptible pathways to MFN2 deficiency. Through comparison with expression profiling of a cohort consisting of 61 pairs of tumor-normal matched samples from The Cancer Genome Atlas (TCGA), we teased out the specific pathways to address the impact that MFN2 ablation had on A549 cells, as well as identified a few genes whose expression level associated with clinicopathologic parameters. In addition, transcriptional factor target enrichment analysis identified E2F as a potential transcription factor that was deregulated in response to MFN2 deficiency. Although bioinformatics analysis usually entail further verification, our study provided considerable information for future scientific inquiries in related areas as well as a paradigm for characterizing perturbation in regulatory network.

Indexed as

Gene Expression ProfilingAdenocarcinomaAnimalsApoptosisBiomarkers, TumorCase-Control StudiesCell ProliferationComputational BiologyGene Regulatory NetworksGTP PhosphohydrolasesHumansLungLung NeoplasmsMitochondrial ProteinsRatsRisk FactorsBiomarkers, TumorGTP PhosphohydrolasesMFN2 protein, humanMitochondrial ProteinsLung adenocarcinomaMFN2MicroarrayThe Cancer Genome Atlas

Identifiers

PMID26733181
OpenAlexW2226180396

What OpenQuestion holds

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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.