Evidence map›Paper›PMID 30680031›Full record

ArticleExperimental and therapeutic medicine2019

MicroRNA-101 inhibits cell migration and invasion in bladder cancer via targeting FZD4.

Lei Chen, Yongqi Long, Zhijun Han, Zhizhou Yuan, Wenjin Liu, Fan Yang, Tao Li, Linfei Shu, Yunying Zhong

Open access · diamondAbstract read
In one paragraph

Article in Experimental and therapeutic medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
1.5field-weighted citation impact, top 19% 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

23 citing papers in PubMed, 37 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. Bladder cancer: non-coding RNAs and exosomal non-coding RNAs.Functional & integrative genomics · 2024
    Review
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Diagnostic panel of serum miR-125b-5p, miR-182-5p, and miR-200c-3p as non-invasive biomarkers for urothelial bladder cancer.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2022
    Article
  11. Article
  12. Identification of aFrontiers in cellular and infection microbiology · 2022
    Article
  13. Article
  14. Article
  15. Article
  16. Non-Coding RNA and Frizzled Receptors in Cancer.Frontiers in molecular biosciences · 2021
    Review
  17. Review
  18. The Expression Patterns ofJournal of clinical medicine · 2020
    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

9 authors at 1 institution in 1 country.

Lei ChenDepartment of Urinary Surgery, Zhuzhou Central Hospital, Zhuzhou, Hunan 412000, P.R. China.
Yongqi LongDepartment of Urinary Surgery, Zhuzhou Central Hospital, Zhuzhou, Hunan 412000, P.R. China.
Zhijun HanDepartment of Urinary Surgery, Zhuzhou Central Hospital, Zhuzhou, Hunan 412000, P.R. China.
Zhizhou YuanDepartment of Urinary Surgery, Zhuzhou Central Hospital, Zhuzhou, Hunan 412000, P.R. China.
Wenjin LiuDepartment of Urinary Surgery, Zhuzhou Central Hospital, Zhuzhou, Hunan 412000, P.R. China.
Fan YangDepartment of Urinary Surgery, Zhuzhou Central Hospital, Zhuzhou, Hunan 412000, P.R. China.
Tao LiDepartment of Urinary Surgery, Zhuzhou Central Hospital, Zhuzhou, Hunan 412000, P.R. China.
Linfei ShuDepartment of Urinary Surgery, Zhuzhou Central Hospital, Zhuzhou, Hunan 412000, P.R. China.
Yunying ZhongDepartment of Urinary Surgery, Zhuzhou Central Hospital, Zhuzhou, Hunan 412000, P.R. China.
Zhuzhou Central Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Dysfunction of microRNAs (miRs) has been implicated in the development and progression of various human cancers. Our previous study demonstrated that miR-101 inhibited bladder cancer cell proliferation and invasion through inhibition of c-FOS expression. As an miR generally has many targets, other targets of miR-101 may also serve important roles in bladder cancer progression. Reverse transcription-quantitative polymerase chain reaction and western blot analyses were used to examine mRNA and protein expression, respectively. Wound healing and Transwell assays were conducted to study cell migration and invasion, respectively. The luciferase reporter gene assay was performed to verify one of the targets of miR-101. The data in the present study indicate that the expression of miR-101 is significantly reduced in bladder cancer tissues compared with that in adjacent non-tumour tissues. In addition, miR-101 expression is also downregulated in bladder cancer cell lines compared with that in normal bladder epithelial cells. Furthermore, low expression of miR-101 was significantly associated with tumour metastasis, advanced clinical stage, and poor prognosis in bladder cancer. Frizzled class receptor 4 (FZD4) was identified as a novel target of miR-101 in bladder cancer cells. The expression of FZD4 was significantly upregulated in bladder cancer tissues and cell lines. Both miR-101 overexpression and FZD4 inhibition caused a significant reduction of the migration and invasion of bladder cancer cells, whereas overexpression of FZD4 reversed the suppressive effects of miR-101 on bladder cancer cell migration and invasion. In conclusion, it was demonstrated that miR-101 downregulation is associated with bladder cancer progression and that miR-101 can inhibit bladder cancer cell migration and invasion via directly targeting FZD4. The present study expands the understanding of the molecular mechanisms underlying bladder cancer progression.

Indexed as

bladder cancerfrizzled class receptor 4invasionmicroRNAmigration

Identifiers

PMID30680031
PMCPMC6327633
OpenAlexW2903987379

What OpenQuestion holds

Textmetadata
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.