Evidence map›Paper›PMID 34779502›Full record

ArticleOncology reports2022

MicroRNA‑190b expression predicts a good prognosis and attenuates the malignant progression of pancreatic cancer by targeting MEF2C and TCF4.

Yunwei Li, Zhe Wang, Feng Zhao, Juan Zeng, Xianghong Yang

Open access · hybridAbstract read
In one paragraph

Article in Oncology reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 2 pooled it
0.3field-weighted citation impact, top 49% 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

7 citing papers in PubMed, 2 syntheses or guidelines pooled it, 7 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Review
  5. Review
  6. Article
  7. 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

5 authors at 1 institution in 1 country.

Yunwei LiDepartment of Pathology, Shengjing Hospital of China Medical University, Shenyang, Liaoning 110004, P.R. China.
Zhe WangDepartment of Pathology, Shengjing Hospital of China Medical University, Shenyang, Liaoning 110004, P.R. China.
Feng ZhaoDepartment of Stem Cell and Regeneration, College of Basic Medical Science of China Medical University, Shenyang, Liaoning 110122, P.R. China.
Juan ZengDepartment of Oncology, Shengjing Hospital of China Medical University, Shenyang, Liaoning 110004, P.R. China.
Xianghong YangDepartment of Pathology, Shengjing Hospital of China Medical University, Shenyang, Liaoning 110004, P.R. China.
China Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

MicroRNAs (miRNAs/miRs) are key components of regulatory networks in cancer. Although miR‑190b is an important tumor‑related miRNA, its role in pancreatic cancer has not been extensively investigated. The aim of the present study was to examine the expression of miR‑190b in pancreatic cancer cell lines and tissues and evaluate its effects on cancer progression. Reverse transcription‑quantitative PCR (RT‑qPCR) analysis was used to measure miR‑190b expression levels in human pancreatic cancer cell lines and tissues, and the association between miR‑190b expression and clinicopathological characteristics was assessed. An

Indexed as

AdultAgedAged, 80 and overAnimalsCell Line, TumorCell ProliferationDisease ProgressionFemaleHumansMaleMEF2 Transcription FactorsMiceMicroRNAsMiddle AgedPancreatic NeoplasmsTranscription Factor 4MEF2C protein, humanMef2c protein, mouseMEF2 Transcription FactorsMicroRNAsMIRN190b microRNA, humanTCF4 protein, humanTcf4 protein, mouseTranscription Factor 4microRNA‑190bmyocyte enhancer factor 2Cpancreatic cancerprognosistranscription factor 4tumor suppressor

Identifiers

PMID34779502
PMCPMC8600408
OpenAlexW3214532368

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.