Evidence map›Paper›PMID 35723009›Full record

ArticleBioengineered2022

Long non-coding RNA X-inactive specific transcript suppresses the progression of hepatocellular carcinoma through microRNA-221-3p-targeted regulation of O6-methylguanine-DNA methyltransferase.

Zushun Chen, Lunan Qi, Hongyuan Fu, Liang Ma

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 It has been retracted, and should not be counted.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 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.5field-weighted citation impact, top 43% 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

3 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors at 1 institution in 1 country.

Zushun ChenDepartment of Hepatobiliary Surgery, Guangxi Medical University Cancer Hospital, Nanning, Guangxi, China.
Lunan QiDepartment of Hepatobiliary Surgery, Guangxi Medical University Cancer Hospital, Nanning, Guangxi, China.
Hongyuan FuDepartment of Hepatobiliary Surgery, Guangxi Medical University Cancer Hospital, Nanning, Guangxi, China.
Liang MaDepartment of Hepatobiliary Surgery, Guangxi Medical University Cancer Hospital, Nanning, Guangxi, China.
Guangxi Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

MicroRNA-221-3p (miR-221-3p) is an important regulator involved in the progression and prognosis of various cancers. In this study, we aimed to investigate the diagnostic and prognostic value of miR-221-3p expression along with long non-coding RNA X-inactive specific transcript (XIST), which was identified as its upstream regulator in hepatocellular carcinoma (HCC) by bioinformatics analysis, and further validated by RNA immunoprecipitation (RIP) and dual-luciferase reporter assays. Their expression was measured in tumor tissues and corresponding non-tumor tissues by quantitative real-time PCR (qRT-PCR), which revealed that XIST was weakly expressed in HCC cells and tumors, while miR-221-3p was overexpressed. Complete knockdown of XIST enhanced HCC cell proliferation and migration and inhibited apoptosis, as observed by MTT, transwell, and flow cytometry experiments, respectively. Animal studies validated that XIST knockdown induces tumor growth

Indexed as

Carcinoma, HepatocellularLiver NeoplasmsMicroRNAsRNA, Long NoncodingAnimalsCell Line, TumorCell ProliferationDNAGuanineO(6)-Methylguanine-DNA MethyltransferaseDNAGuanineMicroRNAsO-(6)-methylguanineO(6)-Methylguanine-DNA MethyltransferaseRNA, Long NoncodingHepatocellular carcinomalncRNA XISTMGMTmiR-221-3pproliferation

Identifiers

PMID35723009
PMCPMC9275909
OpenAlexW4283171210

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.