Evidence map›Paper›PMID 27462775›Full record

ArticleOncotarget2016

An integrative framework to identify cell death-related microRNAs in esophageal squamous cell carcinoma.

Bing-Li Wu, Dong Wang, Wen-Jing Bai, Fan Zhang, Xing Zhao, Ying Yi, Ting Zhang, Wen-Jun Shen, En-Min Li, Li-Yan Xu and 1 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Oncotarget, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
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.

Bing-Li WuThe Key Laboratory of Molecular Biology for High Cancer Incidence Coastal Chaoshan Area, Shantou University Medical College, Shantou 515041, China.
Dong WangThe Key Laboratory of Molecular Biology for High Cancer Incidence Coastal Chaoshan Area, Shantou University Medical College, Shantou 515041, China.
Wen-Jing BaiThe Key Laboratory of Molecular Biology for High Cancer Incidence Coastal Chaoshan Area, Shantou University Medical College, Shantou 515041, China.
Fan ZhangDepartment of Bioinformatics, Shantou University Medical College, Shantou 515041, China.
Xing ZhaoDepartment of Bioinformatics, Shantou University Medical College, Shantou 515041, China.
Ying YiCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, Heilongjiang 150086, China.
Ting ZhangCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, Heilongjiang 150086, China.
Wen-Jun ShenDepartment of Bioinformatics, Shantou University Medical College, Shantou 515041, China.
En-Min LiThe Key Laboratory of Molecular Biology for High Cancer Incidence Coastal Chaoshan Area, Shantou University Medical College, Shantou 515041, China.
Li-Yan XuThe Key Laboratory of Molecular Biology for High Cancer Incidence Coastal Chaoshan Area, Shantou University Medical College, Shantou 515041, China.
Jian-Zhen XuThe Key Laboratory of Molecular Biology for High Cancer Incidence Coastal Chaoshan Area, Shantou University Medical College, Shantou 515041, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cell death is a critical biological process involved in many important functions, and defects in this system are usually linked with numerous human diseases including cancers. Esophageal squamous cell carcinoma is one of the most chemo- and biological therapy resistant cancers. Based on knowledge repository and four miRNAs profiling data, we proposed a general framework to hunt for cell death miRNAs in a context dependent manner. We predicted 12 candidate miRNAs from hundreds of others. Follow-up experimental verification of 7 miRNAs indicated at least 3 miRNAs (MIR20b, MIR498 and MIR196) were involved in both apoptosis and autophagy processes. These results indicated miRNAs intimately connected the two cell death modules in esophageal squamous cell carcinoma. This integrative framework can also be easily extended to identify miRNAs in other key cellular signaling pathways or may find conditional specific miRNAs in other cancer types.

Indexed as

ApoptosisAutophagyCarcinoma, Squamous CellCell DeathCell Line, TumorComputational BiologyEsophageal NeoplasmsEsophageal Squamous Cell CarcinomaGene Expression ProfilingGene Expression Regulation, NeoplasticHumansMicroRNAsSignal TransductionSoftwareMicroRNAsMIRN196 microRNA, humanMIRN20a microRNA, humanMIRN498 microRNA, humanapoptosisautophagycell deathesophageal squamous cell carcinomamiRNA

Identifiers

PMID27462775
PMCPMC5302951

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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.