Evidence map›Paper›PMID 35706812›Full record

ArticleTranslational cancer research2022

The 1q21.3 region driver gene

Chenchen Dong, Peng Li, Yue Wu, Zhong Guo, Rui He

Open access · diamondAbstract read
In one paragraph

Article in Translational cancer research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
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

3 citing papers in PubMed, 3 citations in OpenAlex.

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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.

Chenchen DongThe Second Ward of Respiratory, The Second Affiliated Hospital of Qiqihar Medical University, Qiqihar, China.
Peng LiThe Second Ward of Respiratory, The Second Affiliated Hospital of Qiqihar Medical University, Qiqihar, China.
Yue WuThe Second Ward of Respiratory, The Second Affiliated Hospital of Qiqihar Medical University, Qiqihar, China.
Zhong GuoDepartment of Otorhinolaryngology Head and Neck Surgery, The Third Affiliated Hospital of Qiqihar Medical University, Qiqihar, China.
Rui HeDepartment of Emergency, The Second Affiliated Hospital of Qiqihar Medical University, Qiqihar, China.
Qiqihar Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Lung adenocarcinoma (LUAD) is the leading cause of cancer deaths in the world. Therefore, it is necessary to explore the underlying mechanism of Methods: Differentially-expressed genes (DEGs) in LUAD tissues were screened based on The Cancer Genome Atlas (TCGA) database. The gene copy number variations in the 1q21.3 region were clarified by copy number variation analysis. Genes associated with overall survival (OS) were identified by Kaplan-Meier (KM) analysis. The intersection of the genes was used to obtain the driver genes. LUAD patients were grouped with driver gene expression, and the DEGs were identified. Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis was used to identify the enrichment pathways of the driver genes. Results: A total of 483 LUAD samples and 59 normal control samples were obtained from TCGA database, and 640 upregulated genes were identified. 154 genes with a coefficient of copy number variations greater than 10% in the 1q23.1 region and 1,247 genes that were significantly associated with patient OS were selected. The intersection results indicated that EFNA3 might be a driver gene of LUAD. KEGG enrichment analysis indicated that the DEGs were mainly enriched in apoptosis-related pathways. Cell experiments showed that after lentiviral knockdown of Conclusions: As a driver gene in the progression of LUAD,

Indexed as

cell apoptosisEFNA3Lung adenocarcinomaThe Cancer Genome Atlas (TCGA)

Identifiers

PMID35706812
PMCPMC9189215
OpenAlexW4283031272

What OpenQuestion holds

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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.