Evidence map›Paper›PMID 30127973›Full record

ArticleOncology letters2018

Identification and verification of differentially expressed microRNAs and their target genes for the diagnosis of esophageal cancer.

Xiaoyue Cai, Xiwen Yang, Changjuan Jin, Lei Li, Qing Cui, Yijun Guo, Yun Dong, Xiaohua Yang, Lili Guo, Ming Zhang

Abstract read
In one paragraph

Article in Oncology letters, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
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  5. Article
  6. Review
  7. Article
  8. Review
  9. Article
  10. Epigenetic Regulations of AhR in the Aspect of Immunomodulation.International journal of molecular sciences · 2020
    Review
  11. Article
  12. Peroxidan Plays a Tumor-Promoting Role in Oral Squamous Cell Carcinoma.International journal of molecular sciences · 2020
    Article
  13. Article
  14. Article
  15. Article
  16. 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

10 authors.

Xiaoyue CaiDepartment of Integrated Traditional Chinese Medicine and Western Medicine, Shanghai Chest Hospital, Shanghai Jiaotong University, Shanghai 200030, P.R. China.
Xiwen YangDepartment of Integrated Traditional Chinese Medicine and Western Medicine, Shanghai Chest Hospital, Shanghai Jiaotong University, Shanghai 200030, P.R. China.
Changjuan JinDepartment of Integrated Traditional Chinese Medicine and Western Medicine, Shanghai Chest Hospital, Shanghai Jiaotong University, Shanghai 200030, P.R. China.
Lei LiDepartment of Integrated Traditional Chinese Medicine and Western Medicine, Shanghai Chest Hospital, Shanghai Jiaotong University, Shanghai 200030, P.R. China.
Qing CuiDepartment of Integrated Traditional Chinese Medicine and Western Medicine, Shanghai Chest Hospital, Shanghai Jiaotong University, Shanghai 200030, P.R. China.
Yijun GuoDepartment of Integrated Traditional Chinese Medicine and Western Medicine, Shanghai Chest Hospital, Shanghai Jiaotong University, Shanghai 200030, P.R. China.
Yun DongDepartment of Integrated Traditional Chinese Medicine and Western Medicine, Shanghai Chest Hospital, Shanghai Jiaotong University, Shanghai 200030, P.R. China.
Xiaohua YangResearch Center, Shanghai Chest Hospital, Shanghai Jiaotong University, Shanghai 200030, P.R. China.
Lili GuoResearch Center, Shanghai Chest Hospital, Shanghai Jiaotong University, Shanghai 200030, P.R. China.
Ming ZhangDepartment of Integrated Traditional Chinese Medicine and Western Medicine, Shanghai Chest Hospital, Shanghai Jiaotong University, Shanghai 200030, P.R. China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bioinformatic tools were used to analyze GSE6188, GSE13937 and GSE43732 microarrays, and the top 10 upregulated and downregulated genes of each microarray were identified. It was determined that human microRNA (hsa-miR)-1 and hsa-miR-203 were two downregulated genes in common. Subsequently, it was identified that there were 145 and 335 genes in common targeted by hsa-miR-1 and hsa-miR-203, respectively. In order to narrow the number of target genes down further, the target genes were compared with GSE26886 microarray data. There were five upregulated genes in common with hsa-miR-1, i.e., MMD, BICD1, PTPRG, SDC2 and SEMA6D, and there were eight upregulated genes in common with hsa-miR-203, i.e., PXDN, NRCAM, FMNL2, EIF5A2, GLI3, FSL1, GREM1 and AHR. These genes may become promising biomarkers for the diagnosis of esophageal cancer.

Indexed as

biomarkeresophageal cancerhsa-miR-1hsa-miR-203

Identifiers

PMID30127973
PMCPMC6096065

What OpenQuestion holds

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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.