Evidence map›Paper›PMID 35611601›Full record

ArticleBioengineered2022

Long non-coding RNA MIR22HG suppresses cell proliferation and promotes apoptosis in prostate cancer cells by sponging microRNA-9-3p.

Wei Zhang, Chunmei Shi, Qian Xu, Xinfeng Chen, Hua Zhu, Bing Zheng

RetractedOpen access · goldAbstract readRetracted Publication
In one paragraph

Article in Bioengineered, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It has been retracted, and should not be counted. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.1field-weighted citation impact, top 24% 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

6 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
  2. Article
  3. The Role of microRNA-22 in Metabolism.International journal of molecular sciences · 2025
    Review
  4. Review
  5. Review
  6. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors at 1 institution in 1 country.

Wei ZhangDepartment of Urology, The Second Affiliated Hospital of Nantong University, Nantong, Jiangsu, China.
Chunmei ShiDepartment of Urology, The Second Affiliated Hospital of Nantong University, Nantong, Jiangsu, China.
Qian XuDepartment of General, The Affiliated Hospital of Nantong University, Nantong, Jiangsu, China.
Xinfeng ChenDepartment of Urology, The Second Affiliated Hospital of Nantong University, Nantong, Jiangsu, China.
Hua ZhuDepartment of Urology, The Second Affiliated Hospital of Nantong University, Nantong, Jiangsu, China.
Bing ZhengDepartment of Urology, The Second Affiliated Hospital of Nantong University, Nantong, Jiangsu, China.ORCID 0000-0002-4967-8408
Nantong University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The present study was designed to discuss long non-coding RNA (lncRNA) MIR22HG expression in prostate cancer and to address its effect on prostate cancer cells. MIR22HG and microRNA (miR)-9-3p expressions in prostate cancer cells were examined with the use of quantitative real-time PCR (qRT-PCR). Cell counting kit (CCK)-8, colony formation, and TUNEL were conducted to determine cell viability and apoptosis. Immunofluorescence was employed for the detection of Ki67 expression, and western blotting was applied for the examination of apoptosis-related proteins. The relationship of MIR22HG and miR-9-3p was verified employing luciferase reporter assay. Indeed, low MIR22HG expression was discovered in prostate cancer cells. Subsequently,

Indexed as

MicroRNAsProstatic NeoplasmsRNA, Long NoncodingApoptosisCell Line, TumorCell ProliferationHumansKi-67 AntigenMaleKi-67 AntigenMicroRNAsMIRN22 microRNA, humanMIRN92 microRNA, humanRNA, Long NoncodingapoptosisMIR22HGmiR-9-3pproliferationprostate cancer

Identifiers

PMID35611601
PMCPMC9275890
OpenAlexW4281489927

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.