Evidence map›Paper›PMID 28467773›Full record

ArticleOncotarget2017

miR-302b inhibits cancer-related inflammation by targeting ERBB4, IRF2 and CXCR4 in esophageal cancer.

Mingxin Zhang, Lingmin Zhang, Manli Cui, Wenguang Ye, Pengjiang Zhang, Suna Zhou, Jingjie Wang

Open access · diamondAbstract read
In one paragraph

Article in Oncotarget, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
1.6field-weighted citation impact, top 18% 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

20 citing papers in PubMed, 29 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
  4. Review
  5. Article
  6. Article
  7. Article
  8. Pentixafor PET/CT for imaging of chemokine receptor 4 expression in esophageal cancer - a first clinical approach.Cancer imaging : the official publication of the International Cancer Imaging Society · 2021
    Article
  9. Review
  10. Article
  11. Hsa_circ_0002162 has a critical role in malignant progression of tongue squamous cell carcinoma through targeting miR-33a-5p.Brazilian journal of medical and biological research = Revista brasileira de pesquisas medicas e biologica · 2021
    Article
  12. Article
  13. Review
  14. The role of ErbB4 in cancer.Cellular oncology (Dordrecht, Netherlands) · 2020
    Review
  15. Article
  16. Article
  17. Article
  18. Yonsei medical journal · 2018
    Article
  19. Article
  20. 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

7 authors at 3 institutions in 1 country.

Mingxin ZhangDepartment of Gastroenterology, Tangdu Hospital, Fourth Military Medical University, Xi'an 710038, Shaanxi Province, China.
Lingmin ZhangDepartment of Anesthesiology, First Affiliated Hospital, Xi'an Jiaotong University, Xi'an 710061, Shaanxi Province, China.
Manli CuiDepartment of Gastroenterology, Tangdu Hospital, Fourth Military Medical University, Xi'an 710038, Shaanxi Province, China.
Wenguang YeDepartment of Gastroenterology, Tangdu Hospital, Fourth Military Medical University, Xi'an 710038, Shaanxi Province, China.
Pengjiang ZhangSecond Department of Cadre's Ward, Lanzhou General Hospital of Chinese PLA, Lanzhou 730050, China.
Suna ZhouDepartment of Radiotherapy, Tangdu Hospital, Fourth Military Medical University, Xi'an 710038, Shaanxi Province, China.
Jingjie WangDepartment of Gastroenterology, Tangdu Hospital, Fourth Military Medical University, Xi'an 710038, Shaanxi Province, China.
Air Force Medical University · CNFirst Affiliated Hospital of Xi'an Jiaotong University · CNLanzhou Army General Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cancer related inflammation (CRI) plays an important role in the development of esophageal cancer (EC), and the target gene analysis shows that miR-302b potential target genes closely correlated to CRI important signaling pathways. The present study was to evaluate the inhibition of miR-302b on CRI in EC and its mechanism. We found that the expression levels of miR-302b in EC cells were lower than that in Het-1A cells, while TE11 with the lowest expression and OE33 with the highest. Inflammatory stimuli at 48 h significantly reduced expression of miR-302b in EC cells, but had no effect in Het-1A. After up-regulation of miR-302b in TE11 and down-regulation of miR-302b in OE33, it was found that miR-302b reduced CRI key transcription factors and representative cytokines. Then, over-expressed of miR-302b significantly altered potential target genes protein expressions and there was a negative correlation between miR-302b and potential target genes protein expressions (ERBB4, IRF2 and CXCR4) in EC tissues. Then reporter gene analysis revealed that miR-302b post-transcriptionally regulated expression of target genes by specific area of 3'-UTR. Transfected by target genes shRNA plasmids together could get the same effects of miR-302b on protein expression of CRI key transcription factors. Furthermore, miR-302b was able to repress tumor growth and transcription factors protein expression in vivo. These finding suggests that miR-302b inhibits key transcription factors and cytokines by targeting ERBB4, IRF2 and CXCR4, implicating its role in the inhibition of CRI in EC.

Indexed as

3' Untranslated RegionsApoptosisCell Line, TumorCell ProliferationComputational BiologyEsophageal NeoplasmsGene Expression Regulation, NeoplasticHumansInflammationInterferon Regulatory Factor-2MicroRNAsReceptor, ErbB-4Receptors, CXCR4RNA Interference3' Untranslated RegionsInterferon Regulatory Factor-2MicroRNAsMIRN302A microRNA, humanReceptor, ErbB-4Receptors, CXCR4cancer related inflammationesophageal cancermiR-302b

Identifiers

PMID28467773
PMCPMC5564748
OpenAlexW2606086568

What OpenQuestion holds

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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.