Evidence map›Paper›PMID 34774014›Full record

ArticleBMC cancer2021

Prognostic value of SEC61G in lung adenocarcinoma: a comprehensive study based on bioinformatics and in vitro validation.

Qunhao Zheng, Zhiping Wang, Mengyan Zhang, Yilin Yu, Rui Chen, Tianzhu Lu, Lingyun Liu, Jiayu Ma, Tianxiu Liu, Hongying Zheng and 2 more

Open access · goldAbstract read
In one paragraph

Article in BMC cancer, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
1.8field-weighted citation impact, top 14% 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

14 citing papers in PubMed, 15 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

12 authors at 4 institutions in 1 country.

Qunhao Zheng *Fujian Medical University Cancer Hospital, Fujian Cancer Hospital, Fuzhou, 350014, China.
Zhiping Wang *Fujian Medical University Cancer Hospital, Fujian Cancer Hospital, Fuzhou, 350014, China.
Mengyan ZhangFujian Medical University Cancer Hospital, Fujian Cancer Hospital, Fuzhou, 350014, China.
Yilin YuFujian Medical University Cancer Hospital, Fujian Cancer Hospital, Fuzhou, 350014, China.
Rui ChenJiangxi Cancer Hospital of Nanchang University, Nanchang, Jiangxi, China.
Tianzhu LuJiangxi Cancer Hospital of Nanchang University, Nanchang, Jiangxi, China.
Lingyun LiuFujian Medical University Cancer Hospital, Fujian Cancer Hospital, Fuzhou, 350014, China.
Jiayu MaFujian Medical University Cancer Hospital, Fujian Cancer Hospital, Fuzhou, 350014, China.
Tianxiu LiuFujian Medical University Cancer Hospital, Fujian Cancer Hospital, Fuzhou, 350014, China.
Hongying ZhengFujian Medical University Cancer Hospital, Fujian Cancer Hospital, Fuzhou, 350014, China.
Hui LiFujian Medical University Cancer Hospital, Fujian Cancer Hospital, Fuzhou, 350014, China.
Jiancheng LiFujian Medical University Cancer Hospital, Fujian Cancer Hospital, Fuzhou, 350014, China. jianchengli_jack@126.com.
Fujian Provincial Cancer Hospital · CNFujian Medical University · CNJiangxi Provincial Cancer Hospital · CNNanchang University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundStudies have shown that the Sec61 gamma subunit (SEC61G) is overexpressed in several tumors and could serve as a potential prognostic marker. However, the correlation between SEC61G and lung adenocarcinoma (LUAD) remains unclear. In the current study, we aimed to demonstrate the prognostic value and potential biological function of the SEC61G gene in LUAD.

methodsPublic datasets were used for SEC61G expression analyses. The prognostic value of SEC61G in LUAD was investigated using the Kaplan-Meier survival and Cox analyses. The correlation between the methylation level of SEC61G and its mRNA expression was evaluated via cBioPortal. Additionally, MethSurv was used to determine the prognostic value of the SEC61G methylation levels in LUAD. Functional enrichment analysis was conducted to explore the potential mechanism of SEC61G. Also, single sample GSEA (ssGSEA) and TIMER online tool were applied to identify the correlation between SEC61G and immune filtration. Furthermore, cell functional experiments were conducted to verify the biological behavior of SEC61G in lung adenocarcinoma cells (LAC).

resultsSEC61G was upregulated in pan-cancers, including LUAD. High SEC61G expression was significantly correlated with worse prognosis in LUAD patients. Multivariate analysis demonstrated that high SEC61G expression was an independent prognostic factor in the TCGA cohort. (HR = 1.760 95% CI: 1.297-2.388, p < 0.001). The methylation level of SEC61G negatively correlated with the SEC61G expression (R = - 0.290, p < 0.001), and patients with low SEC61G methylation had worse overall survival. (p = 0.0014). Proliferation-associated terms such as cell cycle and cell division were significantly enriched in GO and KEGG analysis. Vitro experiments demonstrated that knockdown of SEC61G resulted in decreased cell proliferation, invasion and facilitated apoptosis in LAC. GSEA analysis found that SEC61G expression was associated with the E2F targets. Moreover, SEC61G expression was negatively correlated with the immune cell infiltration including CD4+ T cell, CD8+ T cell, B cell, macrophage, neutrophil, and dendritic cell.

conclusionOur study indicated that overexpression of SEC61G was significantly associated with poor prognosis of LUAD patients and the malignant phenotypes of LUAD cells, suggesting that it could be a novel prognostic biomarker and potential therapeutic target of LUAD.

Indexed as

Adenocarcinoma of LungAgedBiomarkers, TumorCell Line, TumorCell ProliferationComputational BiologyDatabases, GeneticDNA MethylationFemaleGene Expression ProfilingGene SilencingHumansIn Vitro TechniquesKaplan-Meier EstimateLung NeoplasmsMaleBiomarkers, TumorRNA, MessengerSEC61G protein, humanSEC Translocation ChannelsInvasionLung adenocarcinomaNovel biomarkersPrognosisProliferationSEC61G

Identifiers

PMID34774014
PMCPMC8590767
OpenAlexW3213024943

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LicenceCC BY
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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.