Evidence map›Paper›PMID 35186082›Full record

ArticleJournal of oncology2022

A Lipid Metabolism-Based Seven-Gene Signature Correlates with the Clinical Outcome of Lung Adenocarcinoma.

Tianqi Li, Jiquan Chen, Jun Liu, Qingjie Chen, Wei Nie, Mi-Die Xu

Abstract read
In one paragraph

Article in Journal of oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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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

6 authors.

Tianqi LiDepartment of Pathology, Fudan University Shanghai Cancer Center, Shanghai 200032, China.ORCID https://orcid.org/0000-0002-8721-1876
Jiquan ChenDepartment of Respiratory Medicine, The Third Affiliated Hospital of Naval Medical University, Shanghai 200438, China.ORCID https://orcid.org/0000-0001-7119-6096
Jun LiuDepartment of Anesthesiology, Shanghai Pulmonary Hospital, Tongji University, Shanghai 200433, China.ORCID https://orcid.org/0000-0001-5414-2870
Qingjie ChenDepartment of Nuclear Medicine, the First Affiliated Hospital of Nanchang University, Nanchang 200433, China.ORCID https://orcid.org/0000-0003-0988-3455
Wei NieDepartment of Pulmonary Medicine, Shanghai Chest Hospital, Shanghai Jiaotong University, Shanghai, China.ORCID https://orcid.org/0000-0002-5912-4804
Mi-Die XuDepartment of Pathology, Fudan University Shanghai Cancer Center, Shanghai 200032, China.ORCID https://orcid.org/0000-0003-1775-6608

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHerein, we tried to develop a prognostic prediction model for patients with LUAD based on the expression profiles of lipid metabolism-related genes (LMRGs).

methodsMolecular subtypes were identified by non-negative matrix factorization (NMF) clustering. The overall survival (OS) predictive gene signature was developed and validated internally and externally based on online data sets. Time-dependent receiver operating characteristic (ROC) curve, Kaplan-Meier curve, nomogram, restricted mean survival time (EMST), and decision curve analysis (DCA) were used to assess the performance of the gene signature.

resultsWe identified three molecular subtypes in LUAD with distinct characteristics on immune cells infiltration and clinical outcomes. Moreover, we confirmed a seven-gene signature as an independent prognostic factor for patients with LUAD. Calibration and DCA analysis plots indicated the excellent predictive performance of the prognostic nomogram constructed based on the gene signature. In addition, the nomogram showed higher robustness and clinical usability compared with four previously reported prognostic gene signatures.

conclusionsFindings in the present study shed new light on the characteristics of lipid metabolism within LUAD, and the established seven-gene signature can be utilized as a new prognostic marker for predicting survival in patients with LUAD.

Identifiers

PMID35186082
PMCPMC8856807

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