Evidence map›Paper›PMID 30633360›Full record

ArticleJournal of cellular physiology2019

Long non-coding RNA metastasis-associated lung adenocarcinoma transcript 1/microRNA-202-3p/periostin axis modulates invasion and epithelial-mesenchymal transition in human cervical cancer.

Xiting Han, Qian Wang, Yan Wang, Bin Hu, Xue Dong, Hailing Zhang, Wuliang Wang

Abstract read
In one paragraph

Article in Journal of cellular physiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
1.4field-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

17 citing papers in PubMed, 28 citations in OpenAlex.

  1. Review
  2. Review
  3. Review
  4. Review
  5. Article
  6. Review
  7. Review
  8. The microRNA-202 as a Diagnostic Biomarker and a Potential Tumor Suppressor.International journal of molecular sciences · 2022
    Review
  9. Article
  10. Review
  11. Review
  12. Review
  13. Article
  14. Incidence and mortality of cancer in the Volta Region of Ghana.Experimental biology and medicine (Maywood, N.J.) · 2020
    Article
  15. Article
  16. Article
  17. LncRNAOxidative medicine and cellular longevity · 2020
    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

7 authors at 1 institution in 1 country.

Xiting HanDepartment of Obstetrics and Gynecology, The Second Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China.
Qian WangDepartment of Obstetrics and Gynecology, The Second Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China.
Yan WangDepartment of Obstetrics and Gynecology, The Second Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China.
Bin HuDepartment of Obstetrics and Gynecology, The Second Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China.
Xue DongDepartment of Obstetrics and Gynecology, The Second Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China.
Hailing ZhangDepartment of Obstetrics and Gynecology, The Second Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China.
Wuliang WangDepartment of Obstetrics and Gynecology, The Second Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China.ORCID 0000-0001-6048-5108
Second Affiliated Hospital of Zhengzhou University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The human cervical cancer (CC) has been identified as one of the most common tumors in women, and the molecular regulation in CC still remains unclear. The dysregulation of periostin has been found in a variety of cancers, but whether it is involved in the regulation of CC is unknown. The present study aimed to investigate the biological roles of periostin in CC and to explore the potential molecular regulation mechanisms. Here we found that the expression of periostin was overexpressed in CC tissues and CC cell lines (HeLa and SiHa). Knockdown of periostin in HeLa or SiHa cells significantly decreased cell viability, cell migration and invasion, and reduced epithelial-mesenchymal transition (EMT). Moreover, periostin knockdown suppressed the activation of Akt/the mammalian target of rapamycin (mTOR) signaling pathway, which is crucial for periostin to regulate the above biological activities in CC cells. Furthermore, we found that the periostin expression was positively correlated with the expression of metastasis-associated lung adenocarcinoma transcript 1 (MALAT1), and negatively correlated with the expression of microRNA (miR)-202-3p in CC tissues. We confirmed that MALAT1 positively regulated the expression of periostin by negatively modulating miR-202-3p. In addition, the MALAT1/miR-202-3p/periostin axis was deeply associated with the regulation of the cell viability, cell migration and invasion, and EMT in CC cells. Taken together, these findings suggest that periostin, which can be regulated by the MALAT1-miR-202-3p axis, plays an important role in regulating cell viability, cell migration and invasion, and EMT of CC cells via activating Akt/mTOR signaling.

Indexed as

Cell Adhesion MoleculesCell MovementCell ProliferationEpithelial-Mesenchymal TransitionFemaleGene Expression Regulation, NeoplasticGene Knockdown TechniquesHeLa CellsHumansMicroRNAsNeoplasm InvasivenessRNA, Long NoncodingSignal TransductionUterine Cervical NeoplasmsCell Adhesion MoleculesMALAT1 long non-coding RNA, humanMicroRNAsMIRN202 microRNA, humanPOSTN protein, humanRNA, Long Noncodingcell invasioncervical cancer (CC)epithelial-mesenchymal transition (EMT)metastasis-associated lung adenocarcinoma transcript 1 (MALAT1)microRNA-202-3pperiostin

Identifiers

PMID30633360
PMCPMC13483103
OpenAlexW2910806525

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.