Evidence map›Paper›PMID 36620541›Full record

ArticleFrontiers in oncology2022

Comprehensive analysis of the significance of METTL7A gene in the prognosis of lung adenocarcinoma.

Ya-Qiang Pan, Ying Xiao, Zhenhua Li, Long Tao, Ge Chen, Jing-Feng Zhu, Lu Lv, Jian-Chao Liu, Jun-Qing Qi, AiZhong Shao

Open access · goldAbstract read
In one paragraph

Article in Frontiers in oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.0field-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

9 citing papers in PubMed, 12 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

10 authors at 4 institutions in 1 country.

Ya-Qiang PanDepartment of Cardiothoracic Surgery, Affiliated People's Hospital of Jiangsu University, Zhenjiang, China.
Ying XiaoDepartment of Radiation Oncology, The Fourth Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Zhenhua LiDepartment of Thoracic Surgery, Yan'an Affiliated Hospital of Kunming Medical University, Kunming, China.
Long TaoDepartment of Cardiothoracic Surgery, Affiliated People's Hospital of Jiangsu University, Zhenjiang, China.
Ge ChenDepartment of Cardiothoracic Surgery, Affiliated People's Hospital of Jiangsu University, Zhenjiang, China.
Jing-Feng ZhuDepartment of Cardiothoracic Surgery, Affiliated People's Hospital of Jiangsu University, Zhenjiang, China.
Lu LvDepartment of Cardiothoracic Surgery, Affiliated People's Hospital of Jiangsu University, Zhenjiang, China.
Jian-Chao LiuDepartment of Cardiothoracic Surgery, Affiliated People's Hospital of Jiangsu University, Zhenjiang, China.
Jun-Qing QiDepartment of Cardiothoracic Surgery, Affiliated People's Hospital of Jiangsu University, Zhenjiang, China.
AiZhong ShaoDepartment of Cardiothoracic Surgery, Affiliated People's Hospital of Jiangsu University, Zhenjiang, China.
Affiliated Hospital of Jiangsu University · CNJiangsu University · CNSecond Affiliated Hospital of Nanjing Medical University · CNYan'an Hospital Affiliated To Kunming Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The most common subtype of lung cancer, called lung adenocarcinoma (LUAD), is also the largest cause of cancer death in the world. The aim of this study was to determine the importance of the METTL7A gene in the prognosis of patients with LUAD. Methods: This particular study used a total of four different LUAD datasets, namely TCGA-LUAD, GSE32863, GSE31210 and GSE13213. Using RT-qPCR, we were able to determine METTL7A expression levels in clinical samples. Univariate and multivariate Cox regression analyses were used to identify factors with independent effects on prognosis in patients with LUAD, and nomograms were designed to predict survival in these patients. Using gene set variation analysis (GSVA), we investigated differences in enriched pathways between METTL7A high and low expression groups. Microenvironmental cell population counter (MCP-counter) and single-sample gene set enrichment analysis (ssGSEA) methods were used to study immune infiltration in LUAD samples. Using the ESTIMATE technique, we were able to determine the immune score, stromal score, and estimated score for each LUAD patient. A competing endogenous RNA network, also known as ceRNA, was established with the help of the Cytoscape program. Results: We detected that METTL7A was down-regulated in pan-cancer, including LUAD. The survival study indicates that METTL7A was a protective factor in the prognosis of LUAD. The univariate and multivariate Cox regression analyses revealed that METTL7A was a robust independent prognostic indicator in survival prediction. Through the use of GSVA, several immune-related pathways were shown to be enriched in both the high-expression and low-expression groups of METTL7A. Analysis of the tumor microenvironment revealed that the immune microenvironment of the group with low expression was suppressed, which may be connected to the poor prognosis. To explore the ceRNA regulatory mechanism of METTL7A, we finally constructed a regulatory network containing 1 mRNA, 2 miRNAs, and 5 long non-coding RNAs (lncRNAs). Conclusion: In conclusion, we presented METTL7A as a potential and promising prognostic indicator of LUAD. This biomarker has the potential to offer us with a comprehensive perspective of the prediction of prognosis and treatment for LUAD patients.

Indexed as

ceRNAcox regression analyseslung adenocarcinomaMETTL7Aprognosis

Identifiers

PMID36620541
PMCPMC9817104
OpenAlexW4312117377

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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.