Evidence map›Paper›PMID 35576491›Full record

ArticleJournal of interferon & cytokine research : the official journal of the International Society for Interferon and Cytokine Research2022

Immune-Related Biomarkers Associated with Lung Metastasis from the Colorectal Cancer Microenvironment.

Wang Da, Wu Yinhang, Zhuang Jing, Xu Jiamin, Gao Xinyi, Song Yongmao, Pan Yuefen

Open access · greenAbstract read
In one paragraph

Article in Journal of interferon & cytokine research : the official journal of the International Society for Interferon and Cytokine Research, 2022. 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
–field-weighted citation impact, top 90% 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, 1 citations in OpenAlex.

  1. Immune phenotype and RAS/BRAF status predict outcomes after lung metastasectomy for colorectal cancer.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026
    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 5 institutions in 2 countries.

Wang DaDepartment of Colorectal Surgery, Key Laboratory of Cancer Prevention and Intervention, China National Ministry of Education (Key Laboratory of Molecular Biology in Medical Sciences); The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Wu YinhangGraduate School of Second Clinical Medicine Faculty, Zhejiang Chinese Medical University, Hangzhou, China.
Zhuang JingDepartment of Oncology, Huzhou Central Hospital, Affiliated Central Hospital Huzhou University, Huzhou, China.
Xu JiaminDepartment of Nursing, Shaoxing People's Hospital (Shaoxing Hospital, Zhejiang University School of Medicine), Shaoxing, China.
Gao XinyiDepartment of Nephrology, Zhejiang Provincial People's Hospital and Affiliated People's Hospital, Hangzhou Medical College, Hangzhou, Hangzhou, China.
Song YongmaoDepartment of Colorectal Surgery, Key Laboratory of Cancer Prevention and Intervention, China National Ministry of Education (Key Laboratory of Molecular Biology in Medical Sciences); The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Pan YuefenDepartment of Oncology, Huzhou Central Hospital, Affiliated Central Hospital Huzhou University, Huzhou, China.ORCID 0000-0001-6363-6231
Huzhou University · CNMinistry of Education of the People's Republic of China · CNHangzhou Medical College · CNShaoxing People's Hospital · CNZhejiang Chinese Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Immune-associated biomarkers can predict lung metastases from colorectal cancer. Differentially expressed genes (DEGs) were screened from sample data extracted from gene expression omnibus (GEO) database. The DEGs were screened from the lung metastasis (LM) and primary cancer (PC) groups of the Moffitt Cancer Center cohort dataset. Then, the tumor immune microenvironment and abundance of immune cell infiltration analyses were performed, and the immune-related DEGs were retrieved. In addition, the transcription factor (TF)-miRNA-mRNA network was constructed and enrichment analyses of the immune-related DEGs and upregulated and downregulated DEGs were carried out. Then, the protein-protein interaction (PPI) network was conducted and the drug-gene interaction was predicted. A total of 268 DEGs were screened. The Immune_Score of samples in the LM group was significantly higher compared with the PC group. The infiltration ratio of M0 macrophages and M2 macrophages of samples was higher than others. A total of 54 immune-related DEGs in M0 macrophages were screened. Moreover, the TF-miRNA-mRNA network was constructed among 8 miRNA-mRNA and 50 TF-mRNA, and the secreted phosphoprotein 1 was regulated by 12 TFs, and the oxidized low-density lipoprotein receptor 1 was regulated by 3 miRNAs and 3 TFs. The TF SAM pointed domain containing ETS TF was also a downregulated DEG. The Kyoto Encyclopedia of Genes and Genomes pathway analysis showed that the DEGs in the TF-miRNA-mRNA network were mainly involved in the interleukin-7 signaling pathway and cell adhesion molecules. In total, 23 protein interactions in this PPI network of M0 macrophage cells were involved in 27 mRNAs. There were 38 drug-gene interactions of immune-related DEGs of M0 macrophage cells predicted to contain 34 small molecule drugs and 8 mRNAs. Finally, the CON cohort dataset verified that the infiltration ratio of M0 and M2 macrophages of the samples was higher.

Indexed as

Biomarkers, TumorColorectal NeoplasmsLung NeoplasmsMicroRNAsComputational BiologyGene Expression ProfilingGene Regulatory NetworksHumansRNA, MessengerTranscription FactorsTumor MicroenvironmentBiomarkers, TumorMicroRNAsRNA, MessengerTranscription Factorscolorectal cancerdifferentially expressed genesdrug–gene interactionimmune cell infiltrationimmune-related differentially expressed geneslung metastasis

Identifiers

PMID35576491
PMCPMC9142768
OpenAlexW4280594329

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.