Evidence map›Paper›PMID 37100777›Full record

ArticleScientific reports2023

An eleven-gene risk model associated with lymph node metastasis predicts overall survival in lung adenocarcinoma.

Yan Zhao, Wei Shi, Qiong Tang

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Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

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  5. Significance ofFrontiers in pharmacology · 2025
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4 · The record

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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

3 authors.

Yan ZhaoDepartment of Respiratory, Tianjin Union Medical Center, Nankai University, Jieyuan Road 190, Hongqiao District, Tianjin, China.
Wei ShiDepartment of Respiratory, Tianjin Union Medical Center, Nankai University, Jieyuan Road 190, Hongqiao District, Tianjin, China.
Qiong TangDepartment of Respiratory, Tianjin Union Medical Center, Nankai University, Jieyuan Road 190, Hongqiao District, Tianjin, China. tangqiongtj@qq.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lung adenocarcinoma (LUAD) occupies major causes of tumor death. Identifying potential prognostic risk genes is crucial to predict the overall survival of patients with LUAD. In this study, we constructed and proved an 11-gene risk signature. This prognostic signature divided LUAD patients into low- and high-risk groups. The model outperformed in prognostic accuracy at varying follow-up times (AUC for 3 years: 0.699, 5 years: 0.713, and 7 years: 0.716). Two GEO datasets also indicate the great accuracy of the risk signature (AUC = 782 and 771, respectively). Multivariate analysis identified 4 independent risk factors including stage N (HR 1.320, 95% CI 1.102-1.581, P = 0.003), stage T (HR 3.159, 95% CI 1.920-3.959, P < 0.001), tumor status (HR 5.688, 95% CI 3.883-8.334, P < 0.001), and the 11-gene risk model (HR 2.823, 95% CI 1.928-4.133, P < 0.001). The performance of the nomogram was good in the TCGA database (AUC = 0.806, 0.798, and 0.818 for 3-, 5- and 7-year survival). The subgroup analysis in different age, gender, tumor status, clinical stage, and recurrence stratifications indicated that the accuracy was high in different subgroups (all P < 0.05). Briefly, our work established an 11-gene risk model and a nomogram merging the model with clinicopathological characteristics to facilitate individual prediction of LUAD patients for clinicians.

Indexed as

Adenocarcinoma of LungKetamineLung NeoplasmsHumansLymphatic MetastasisPrognosisRisk FactorsTetrazolesThiophenesCI 959KetamineTetrazolesThiophenes

Identifiers

PMID37100777
PMCPMC10133305

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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.