Evidence map›Paper›PMID 38473938›Full record

ArticleInternational journal of molecular sciences2024

Multi-Omics Analysis Reveals the IFI6 Gene as a Prognostic Indicator and Therapeutic Target in Esophageal Cancer.

Nguyen-Kieu Viet-Nhi, Tran Minh Quan, Vu Cong Truc, Tran Anh Bich, Pham Hoang Nam, Nguyen Quoc Khanh Le, Po-Yueh Chen, Shih-Han Hung

Open access · goldAbstract read
In one paragraph

Article in International journal of molecular sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
2.3field-weighted citation impact, top 12% 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

8 citing papers in PubMed, 10 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

8 authors at 5 institutions in 2 countries.

Nguyen-Kieu Viet-NhiInternational Master/Ph.D. Program in Medicine, College of Medicine, Taipei Medical University, Taipei 110, Taiwan.ORCID 0009-0003-5993-1088
Tran Minh QuanDepartment of Thoracic Surgery, Cho Ray Hospital, Ho Chi Minh City 700000, Vietnam.ORCID 0009-0001-6935-4478
Vu Cong TrucDepartment of Otolaryngology, Faculty of Medicine, University of Medicine and Pharmacy at Ho Chi Minh City, Ho Chi Minh City 700000, Vietnam.
Tran Anh BichDepartment of Otolaryngology, Cho Ray Hospital, Ho Chi Minh City 700000, Vietnam.
Pham Hoang NamDepartment of Otolaryngology, Cho Ray Hospital, Ho Chi Minh City 700000, Vietnam.
Nguyen Quoc Khanh LeProfessional Master Program in Artificial Intelligence in Medicine, College of Medicine, Taipei Medical University, Taipei 110, Taiwan.ORCID 0000-0003-4896-7926
Po-Yueh ChenDepartment of Otolaryngology, Wan Fang Hospital, Taipei Medical University, Taipei 110, Taiwan.
Shih-Han HungInternational Master/Ph.D. Program in Medicine, College of Medicine, Taipei Medical University, Taipei 110, Taiwan.ORCID 0000-0001-9591-5489
Cho Ray Hospital · VNWan Fang Hospital · TWTaipei Medical University · TWTaipei Medical University Hospital · TWUniversity of Medicine and Pharmacy at Ho Chi Minh City · VN

Funding

Taipei Municipal Wanfang Hospital no. 113-wf-eva-05
6 · The paper itself

Abstract

The role of the IFI6 gene has been described in several cancers, but its involvement in esophageal cancer (ESCA) remains unclear. This study aimed to identify novel prognostic indicators for ESCA-targeted therapy by investigating IFI6's expression, epigenetic mechanisms, and signaling activities. We utilized public data from the Gene Expression Omnibus (GEO) and the Cancer Genome Atlas (TCGA) to analyze IFI6's expression, clinical characteristics, gene function, pathways, and correlation with different immune cells in ESCA. The TIMER2.0 database was employed to assess the pan-cancer expression of IFI6, while UALCAN was used to examine its expression across tumor stages and histology subtypes. Additionally, the KEGG database helped identify related pathways. Our findings revealed 95 genes positively correlated and 15 genes negatively correlated with IFI6 in ESCA. IFI6 was over-expressed in ESCA and other cancers, impacting patient survival and showing higher expression in tumor tissues than normal tissues. IFI6 was also correlated with CD4+ T cells and B cell receptors (BCRs), both essential in immune response. GO Biological Process (GO BP) enrichment analysis indicated that IFI6 was primarily associated with the Type I interferon signaling pathway and the defense response to viruses. Intriguingly, KEGG pathway analysis demonstrated that IFI6 and its positively correlated genes in ESCA were mostly linked to the Cytosolic DNA-sensing pathway, which plays a crucial role in innate immunity and viral defense, and the RIG-I-like receptor (RLR) signaling pathway, which detects viral infections and activates immune responses. Pathways related to various viral infections were also identified. It is important to note that our study relied on online databases. Given that ESCA consists of two distinct subgroups (ESCC and EAC), most databases combine them into a single category. Future research should focus on evaluating IFI6 expression and its impact on each subgroup to gain more specific insights. In conclusion, inhibiting IFI6 using targeted therapy could be an effective strategy for treating ESCA considering its potential as a biomarker and correlation with immune cell factors.

Indexed as

Esophageal NeoplasmsVirus DiseasesCD4-Positive T-LymphocytesHumansMitochondrial ProteinsMultiomicsPrognosisIFI6 protein, humanMitochondrial Proteinsbioinformaticsesophageal cancergene expressionIFI6multi-omics analysisprognostic indicators

Identifiers

PMID38473938
PMCPMC10931552
OpenAlexW4392166299

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LicenceCC BY
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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.