Evidence map›Paper›PMID 35220962›Full record

ArticleWorld journal of surgical oncology2022

Construction and validation of a novel prognostic model for lung squamous cell cancer based on N6-methyladenosine-related genes.

Erna Jia, Na Ren, Bo Guo, Zhi Cui, Boyin Zhang, Jinru Xue

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in World journal of surgical oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.6field-weighted citation impact, top 17% 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

10 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

6 authors at 1 institution in 1 country.

Erna Jia *Department of Gastroenterology, The Third Hospital of Jilin University, Changchun, China.
Na Ren *Department of Thoracic Surgery, The Third Hospital of Jilin University, No. 126, Xiantai Street, Changchun, Jilin, China.
Bo GuoDepartment of Thoracic Surgery, The Third Hospital of Jilin University, No. 126, Xiantai Street, Changchun, Jilin, China.
Zhi CuiDepartment of Thoracic Surgery, The Third Hospital of Jilin University, No. 126, Xiantai Street, Changchun, Jilin, China.
Boyin Zhang *Department of Orthopedic Surgery, The Third Hospital of Jilin University, Changchun, China. drboyin@jlu.edu.cn.
Jinru Xue *Department of Thoracic Surgery, The Third Hospital of Jilin University, No. 126, Xiantai Street, Changchun, Jilin, China. jinruxue@jlu.edu.cn.
Jilin University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundN6-methyladenosine (m6A) is the most prevalent modification in mRNA in biological processes and associated with various malignant tumor initiation and progression. The present study aimed to construct a prognostic risk model based on m6A-related genes (the downstream genes influenced by m6A modulators) for LUSC.

methodsBased on TCGA, we stratified LUSC patients with and without genetic alteration of m6A modulators into altered and unaltered groups. Using univariate Cox and Lasso regression analyses, we identified prognostic m6A-related genes to construct a prognostic risk model. We then applied a multivariate Cox proportional regression model and the survival analysis to evaluate the risk model. Moreover, we performed the Receiver operating characteristic curve to assess the efficiency of the prognostic model based on TCGA and GSE43131. We analyzed the characteristics of tumor-associated immune cell infiltration in LUSC through the CIBERSORT method.

resultsThree m6A-related genes (FAM71F1, MT1E, and MYEOV) were identified as prognostic genes for LUSC. A novel prognostic risk model based on the three m6A-related genes was constructed. The multivariate Cox analysis showed that the prognostic risk model was an independent risk factor (HR = 2.44, 95% CI = 1.21~3.56, p = 0.029). Patients with a high-risk group had worse overall survival both in TCGA (p = 0.018) and GSE43131 (p = 0.00017). The 1, 2, and 3-year AUC value in TCGA was 0.662, 0.662, and 0.655, respectively; The 1, 2, and 3-year AUC value in GSE43131 was 0.724, 0.724, and 0.722, respectively. The proportion of infiltrated neutrophils in the high-risk group was higher than that in the low-risk group (p = 0.028), whereas that of resting NK cells (p = 0.002) was lower.

conclusionA novel prognostic risk model based on three m6A-related genes for LUSC was generated in this study.

Indexed as

Biomarkers, TumorLung NeoplasmsAdenosineEpithelial CellsHumansLungPrognosisAdenosineBiomarkers, TumorN-methyladenosineGEOLung cancerm6A-related genePrognosisTCGA

Identifiers

PMID35220962
PMCPMC8883700
OpenAlexW4214559313

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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.