Evidence map›Paper›PMID 24758904›Full record

ArticleZhongguo fei ai za zhi = Chinese journal of lung cancer2014

[Effects of tumor suppressor gene TCF21 on the proliferation, migration and apoptosis of A549 cells].

Song Hu, Nuo Yang, Mingwu Chen, Jianji Guo, Lei Xian

Open access · greenAbstract readEnglish Abstract
In one paragraph

Article in Zhongguo fei ai za zhi = Chinese journal of lung cancer, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
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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.

Song HuDepartment of Cardiothoracic Surgery, the First Affiliated Hospital of Guangxi Medical University, Nanning 530021, China.
Nuo YangDepartment of Cardiothoracic Surgery, the First Affiliated Hospital of Guangxi Medical University, Nanning 530021, China.
Mingwu ChenDepartment of Cardiothoracic Surgery, the First Affiliated Hospital of Guangxi Medical University, Nanning 530021, China.
Jianji GuoDepartment of Cardiothoracic Surgery, the First Affiliated Hospital of Guangxi Medical University, Nanning 530021, China.
Lei XianDepartment of Cardiothoracic Surgery, the First Affiliated Hospital of Guangxi Medical University, Nanning 530021, China.
Guangxi Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

objectiveTCF21, a newly discovered gene, exhibits tumor suppressor function in a variety of tumors. This study aims to observe the effects of TCF21 on the proliferation, apoptosis and migration of A549 human lung adenocarcinoma epithelial cells.

methodsTCF21 was overexpressed in A549 cells via lentiviral transfection. Fluorescence-based quantitative polymerase chain reaction and Western blot analysis were used to analyze the expression of the target gene. Transwell, proliferation assay, and flow cytometry were applied to detect the effect of TCF21 overexpression on the migration, proliferation, and apoptosis of A549 cells after transfection.

resultsThe proliferation and migration of A549 cells were inhibited, and the apoptotic rate was increased by overexpressing TCF21.

conclusionsThe tumor suppressor gene, TCF21, significantly inhibits the proliferation and migration, as well as facilitates early apoptosis of A549 cells.

Indexed as

ApoptosisCell ProliferationBasic Helix-Loop-Helix ProteinsCell Line, TumorCell MovementHumansLung NeoplasmsTumor Suppressor ProteinsBasic Helix-Loop-Helix ProteinsTCF21 protein, humanTumor Suppressor Proteins

Identifiers

PMID24758904
PMCPMC6000019
OpenAlexW1574118831

What OpenQuestion holds

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Registered trials

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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.