Evidence map›Paper›PMID 33111959›Full record

ArticleBioscience reports2020

Immune-related miRNA signature identifies prognosis and immune landscape in head and neck squamous cell carcinomas.

Bo Ma, Hui Li, Jia Qiao, Tao Meng, Riyue Yu

Abstract read
In one paragraph

Article in Bioscience reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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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

7 citing papers in PubMed.

  1. Article
  2. Article
  3. MicroRNA-1: Diverse role of a small player in multiple cancers.Seminars in cell & developmental biology · 2022
    Review
  4. Article
  5. Article
  6. Article
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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

5 authors.

Bo MaDepartment of Stomatology, Beijing Shijitan Hospital, Capital Medical University, Beijing 100038, China.
Hui LiDepartment of Stomatology, Beijing Shijitan Hospital, Capital Medical University, Beijing 100038, China.
Jia QiaoDepartment of Stomatology, Beijing Shijitan Hospital, Capital Medical University, Beijing 100038, China.
Tao MengDepartment of Stomatology, Hui Ya Hospital of The First Affiliated Hospital, Sun Yat-Sen University, Huizhou 516080, China.
Riyue YuDepartment of Stomatology, Beijing Shijitan Hospital, Capital Medical University, Beijing 100038, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHead and neck squamous cell carcinoma (HNSCC) is recognised as an immune active cancer, but little is known about the role of microRNAs (miRNAs) in it. In the present study, we aim to determine a prognostic and immune-related miRNAs signature (IRMS) in HNSCC.

methodsSpearman correlation analysis was used to screen out prognostic immune-related miRNAs based on single-sample gene set enrichment analysis (ssGSEA). Least absolute shrinkage and selection operator (LASSO) Cox regression model was used to establish IRMS in HNSCC. Then, the influence of the IRMS on HNSCC was comprehensively analysed.

resultsWe obtained 11 prognostic immune-related miRNAs based on ssGSEA. Then an IRMS integrated with six miRNAs was established through LASSO Cox regression analysis. The stratification survival analysis indicated that IRMS was independent from other characteristics and performed favourably in the overall survival (OS) prediction. The function annotation suggested that IRMS was highly associated with the immune-related response biological processes and pathways which are so important for tumorigenesis of HNSCC. Moreover, the nomogram demonstrated that our model was identified as an independent prognostic factor. In addition, we found that IRMS was significantly correlated with the immune infiltration and expression of critical immune checkpoints, indicating that the poor prognosis might be caused partly by immunosuppressive microenvironment.

conclusionWe established a novel IRMS, which exhibited a potent prognostic value and could be representative of immune status in HNSCC.

Indexed as

TranscriptomeTumor MicroenvironmentBiomarkers, TumorDatabases, GeneticGene Expression ProfilingHead and Neck NeoplasmsHumansMicroRNAsModels, GeneticNomogramsPredictive Value of TestsPrognosisRisk AssessmentRisk FactorsSquamous Cell Carcinoma of Head and NeckBiomarkers, TumorMicroRNAsbioinformaticscancerimmunologymicroRNA

Identifiers

PMID33111959
PMCPMC7670576

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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.