Evidence map›Paper›PMID 36311801›Full record

ArticleFrontiers in immunology2022

Significance of macrophage infiltration in the prognosis of lung adenocarcinoma patients evaluated by scRNA and bulkRNA analysis.

Huaiyang Zhu, Chunning Zheng, Hongtao Liu, Fanhua Kong, Shuai Kong, Feng Chen, Yuan Tian

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

Article in Frontiers in immunology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.4field-weighted citation impact, top 18% 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

12 citing papers in PubMed, 17 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

7 authors at 5 institutions in 1 country.

Huaiyang ZhuDepartment of Thoracic Surgery, Shandong Second Provincial General Hospital, Jinan, China.
Chunning ZhengDepartment of Gastrointestinal Surgery, Shandong Provincial Hospital affiliated to Shandong First Medical University, Jinan, China.
Hongtao LiuDepartment of Pathology, The First Affiliated Hospital of Shandong First Medical University and Shandong Provincial Qianfoshan Hospital, Shandong Medicine and Health Key Laboratory of Clinical Pathology, Shandong Lung Cancer Institute, Shandong Institute of Nephrology, Jinan, China.
Fanhua KongDepartment of Thoracic Surgery, The Affiliated Taian City Centeral Hospital of Qingdao University, Taian, China.
Shuai KongDepartment of Gastrointestinal Surgery, Shandong Provincial Hospital affiliated to Shandong First Medical University, Jinan, China.
Feng ChenDepartment of Thoracic Surgery, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, China.
Yuan TianDepartment of Otolaryngology-Head and Neck Surgery, Shandong Provincial ENT Hospital, Shandong University, Jinan, China.
Shandong Provincial Hospital · CNQingdao University · CNSecond Hospital of Shandong University · CNShandong Provincial QianFoShan Hospital · CNShandong Tumor Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: To investigate the significance of macrophage infiltration to the prognosis of lung adenocarcinoma. Methods: R language bioinformatics analysis technology, was used to obtain macrophage infiltration-related module genes through WGCNA (Weighted Gene Co-Expression Network Analysis). Marker genes of macrophage subtypes were identified using single-cell sequencing of lung adenocarcinoma tissue. Risk score models were constructed and validated using external data cohorts and clinical samples. Results: Analysis of cohorts TCGA-LUAD, GSE11969, GSE31210, GSE50081, GSE72094 and GSE8894, revealed a negative correlation between macrophage infiltration and survival. Immunohistochemical analyses of clinical samples were consistent with these data. Based on cell-cluster-markers and TAMs-related-genes, TOP8 genes were obtained (C1QTNF6, CCNB1, FSCN1, HMMR, KPNA2, PRC1, RRM2, and TK1) with a significant association to prognosis. Risk score models including 9 factors (C1QTNF6, FSCN1, KPNA2, GLI2, TYMS, BIRC3, RBBP7, KRT8, GPR65) for prognosis were constructed. The efficacy, stability and generalizability of the risk score models were validated using multiple data cohorts (GSE19188, GSE26939, GSE31210, GSE50081, GSE42127, and GSE72094). Conclusions: Macrophage infiltration negatively correlates with prognosis in patients with lung adenocarcinoma. Based on cell-cluster-markers and TAMs-related-genes, both TOP8 genes (C1QTNF6, CCNB1, FSCN1, HMMR, KPNA2, PRC1, RRM2, TK1) and risk score models using C1QTNF6, FSCN1, KPNA2, GLI2, TYMS, BIRC3, RBBP7, KRT8, GPR65 could predict disease prognosis.

Indexed as

Adenocarcinoma of LungLung NeoplasmsRNA, Small CytoplasmicBiomarkers, TumorCarrier ProteinsCollagenGene Expression Regulation, NeoplasticHumansMacrophagesMicrofilament ProteinsPrognosisSingle-Cell AnalysisBiomarkers, TumorC1qTNF6 protein, humanCarrier ProteinsCollagenFSCN1 protein, humanMicrofilament ProteinsRNA, Small CytoplasmicbulkRNAinfilitrationlung adenocarcinomamacrophagesmarker geneprognosisScRNAWGCNA (weighted gene co- expression network analyses)

Identifiers

PMID36311801
PMCPMC9597471
OpenAlexW4304687522

What OpenQuestion holds

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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.