Evidence map›Paper›PMID 33361747›Full record

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

Laryngeal Squamous Cell Carcinoma: Potential Molecular Mechanism and Prognostic Signature Based on Immune-Related Genes.

Bin-Yu Mo, Guo-Sheng Li, Su-Ning Huang, Zhu-Xin Wei, Ya-Si Su, Wen-Bin Dai, Lin Ruan

Open access · greenAbstract 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 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.8field-weighted citation impact, top 24% 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

5 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. Article
  3. DIAPH2, PTPRD and HIC1 Gene Polymorphisms and Laryngeal Cancer Risk.International journal of environmental research and public health · 2021
    Article
  4. Article
  5. 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.

Bin-Yu MoDepartment of Otolaryngology, Liuzhou People's Hospital of Guangxi, Liuzhou, Guangxi, China (mainland).
Guo-Sheng LiDepartment of Radiotherapy, First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China (mainland).
Su-Ning HuangDepartment of Radiotherapy, Guangxi Medical University Cancer Hospital, Nanning, Guangxi, China (mainland).
Zhu-Xin WeiDepartment of Radiotherapy, First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China (mainland).
Ya-Si SuDepartment of Pathology, Liuzhou People's Hospital, Liuzhou, Guangxi, China (mainland).
Wen-Bin DaiDepartment of Pathology, Liuzhou People's Hospital, Liuzhou, Guangxi, China (mainland).
Lin RuanDepartment of Radiotherapy, First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China (mainland).
Guangxi Medical University · CNLiuzhou General Hospital · CNGuangxi Zhuang Autonomous Region Brain Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND Immune-related genes (IRGs) are closely related to the incidence and progression of tumors, potentially indicating that IRGs play an important role in laryngeal squamous cell carcinoma (LSCC). MATERIAL AND METHODS An RNA sequencing dataset containing 123 samples was collected from The Cancer Genome Atlas. Based on immune-related differentially expressed genes (IRDEGs), a potential molecular mechanism of LSCC was explored through analysis of information in the Gene Ontology (GO) resource and the Kyoto Encyclopedia of Genes and Genomes (KEGG), and protein-protein interactions (PPIs). A regulatory network of transcriptional regulators and IRDEGs was constructed to explore the underlying molecular mechanism of LSCC at the upstream level. Candidates from IRDEGs for signature were screened via univariate Cox analysis and using the least absolute shrinkage and selection operator (LASSO) technique. The IRDEG signature of LSCC was constructed by using a multivariate Cox proportional hazards model. RESULTS GO and KEGG analysis showed that IRDEGs may participate in the progression of LSCC through immune-related reactions. PPI analysis demonstrated that, among the IRDEGs in LSCC, the Kininogen 1; C-X-X motif chemokine ligand 10; elastase, neutrophil expressed; and LYZ genes are hub genes in the development of LSCC. At the upstream level, SPI1, SP140, signal transducer and activator of transcription 4, zinc finger E-box binding homeobox, and Ikaros family zinc finger 2 are the hub transcriptional regulators of IRDEGs. The risk score based on the IRDEG signature was able to distinguish prognosis in patients with LSCC and represents an independent prognostic risk factor for LSCC. CONCLUSIONS From the perspective of IRGs, we first constructed an IRDEG signature related to the prognosis of LSCC, which can be used as a novel marker to predict prognosis in patients with LSCC.

Indexed as

Gene Expression Regulation, NeoplasticCarcinoma, Squamous CellGene Expression ProfilingGene OntologyGene Regulatory NetworksHumansLaryngeal NeoplasmsNomogramsPrognosisProtein Interaction MapsReproducibility of ResultsRisk FactorsTranscription FactorsUp-RegulationTranscription Factors

Identifiers

PMID33361747
PMCPMC7772955
OpenAlexW3094581111

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.