Evidence map›Paper›PMID 33161410›Full record

ArticleMedical science monitor : international medical journal of experimental and clinical research2020

Identification of the Prognostic Value and Clinical Significance of Interferon Regulatory Factors (IRFs) in Colon Adenocarcinoma.

Munire Yuemaier, Zhiqiang Zhou, Youxu Zhou, Chengwen Wu, Fei Li, Xiaodan Liang, Haihan Kang, Dongfang Shen, Fei Gao, Jinxi Lin

Open access · hybridAbstract read
In one paragraph

Article in Medical science monitor : international medical journal of experimental and clinical research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.3field-weighted citation impact, top 41% 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

4 citing papers in PubMed, 4 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

10 authors at 2 institutions in 1 country.

Munire YuemaierDepartment of General Surgery, The Second Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China (mainland).
Zhiqiang ZhouDepartment of General Surgery, The Second Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China (mainland).
Youxu ZhouDepartment of General Surgery, The Third Affiliated Hospital of Fujian Traditional Chinese Medical University, Fuzhou, Fujian, China (mainland).
Chengwen WuDepartment of General Surgery, The Second Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China (mainland).
Fei LiDepartment of General Surgery, The Second Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China (mainland).
Xiaodan LiangDepartment of General Surgery, The Second Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China (mainland).
Haihan KangDepartment of General Surgery, The Second Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China (mainland).
Dongfang ShenDepartment of General Surgery, The Second Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China (mainland).
Fei GaoDepartment of General Surgery, The Second Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China (mainland).
Jinxi LinDepartment of General Surgery, The Third Affiliated Hospital of Fujian Traditional Chinese Medical University, Fuzhou, Fujian, China (mainland).
Second Affiliated Hospital of Zhengzhou University · CNFujian University of Traditional Chinese Medicine · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND Colon adenocarcinoma (COAD) is one of the most common malignant tumors and has high incidence and mortality rates. The interferon regulatory factor (IRF) family is known as a key transcription factor in the IFN signaling pathway and cellular immunity. This research explored the relationship between the IRF family and COAD through use of bioinformatics technology. MATERIAL AND METHODS Using the UALCAN and GEPIA databases, we analyzed the transcription and prognostic value of IRFs in COAD, and GSCALite was used in cancer genomics analysis. TIMER, LinkedOmics, and Metascape were used to assess the potential function of IRFs in COAD. RESULTS The transcription levels of IRF3 were elevated in COAD tissues, while IRF2/4/6 were downregulated compared with normal patients in subgroup analyses of race, age, weight, sex, nodal metastasis, individual cancer stages, TP53 mutation status, and histological subtypes. IRF3 and IRF7 in COAD were significantly associated with a poor prognosis. Drug sensitivity analysis revealed that the expression level of IRF2/4/8 was negatively associated with drug resistance. A significant correlation was found between the IRF family and immune cell infiltration. Moreover, enrichment analysis revealed that the IRFs were associated with response to tumor necrosis factor, transcription misregulation in cancer, and JAK-STAT signaling pathway. We also identified several kinase and miRNA targets of the IRF family in COAD. CONCLUSIONS We identified IRF3 and IRF7 as prognostic biomarkers in COAD, and the IRF family was associated with immune cell infiltration and gene regulation networks, providing additional evidence showing the significant role of the IRF family in COAD.

Indexed as

AdenocarcinomaColonic NeoplasmsDNA MethylationGene DosageGene Expression Regulation, NeoplasticGene OntologyGenetic VariationHumansInterferon Regulatory FactorsMicroRNAsPrognosisTranscription, GeneticInterferon Regulatory FactorsMicroRNAs

Identifiers

PMID33161410
PMCPMC7659398
OpenAlexW3099113883

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.