Evidence map›Paper›PMID 37065568›Full record

ArticleJournal of thoracic disease2023

Development and validation of a novel M1 macrophage-related gene prognostic signature for lung cancer.

Shumin Zhu, Yanming Li, Yafei Mao, Xinyuan Li, Shichao Gao, Yulan Geng, Jin Ma

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

Article in Journal of thoracic disease, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.5field-weighted citation impact, top 34% 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

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. Article
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

7 authors at 3 institutions in 1 country.

Shumin Zhu *Department of Medical Laboratory, The First Hospital of Hebei Medical University, Shijiazhuang, China.
Yanming Li *Department of Medical Laboratory, The First Hospital of Hebei Medical University, Shijiazhuang, China.
Yafei MaoDepartment of Medical Laboratory, The First Hospital of Hebei Medical University, Shijiazhuang, China.
Xinyuan LiDepartment of Medical Laboratory, The First Hospital of Hebei Medical University, Shijiazhuang, China.
Shichao GaoDepartment of Medical Laboratory, The First Hospital of Hebei Medical University, Shijiazhuang, China.
Yulan GengDepartment of Medical Laboratory, The First Hospital of Hebei Medical University, Shijiazhuang, China.
Jin MaDepartment of Medical Laboratory, The Third Hospital of Hebei Medical University, Shijiazhuang, China.
Hebei Medical University · CNFirst Affiliated Hospital of Hebei Medical University · CNThird Hospital of Hebei Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Lung cancer (LC) is the most common cancer. Using data from The Cancer Genome Atlas (TCGA), we analyzed the functional roles of M1 macrophage status in LC patients. Methods: Clinical and transcriptome data of LC patients were obtained from the TCGA dataset. We identified M1 macrophage-related genes in LC patients and investigated the underlying molecular mechanisms of these genes in LC patients. After performing a least absolute shrinkage and selection operator (LASSO) Cox regression analysis, the LC patients were divided into two subtypes, and the underlying mechanism of the association between them was further explored. A comparison of immune infiltration was conducted between the two subtypes. Based on gene set enrichment analysis (GSEA), the key regulators associated with subtypes were further explored. Results: M1 macrophage-related genes were identified using TCGA data, and these genes might be related to the activation of the immune response and cytokine-mediated signaling pathways in LC. A seven M1 macrophage-related gene signature (including Conclusions: M1 macrophage-related subtypes of LC were identified and were closely associated with immune infiltration. The gene signature involved in M1 macrophage-related genes could help make a distinction and predict prognosis for LC patients.

Indexed as

biomarkersLung cancer (LC)M1 macrophage-related signatureM1 macrophagesprognosis

Identifiers

PMID37065568
PMCPMC10089886
OpenAlexW4362475461

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.