Evidence map›Paper›PMID 34788477›Full record

ArticleJournal of clinical laboratory analysis2022

Aberrant expression profiles and bioinformatic analysis of CAF-derived exosomal miRNAs from three moderately differentiated supraglottic LSCC patients.

Chunping Wu, Mei Wang, Qiang Huang, Yang Guo, Hongli Gong, Chunyan Hu, Liang Zhou

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of clinical laboratory analysis, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
1.0field-weighted citation impact, top 25% 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

12 citing papers in PubMed, 1 synthesis or guideline pooled it, 15 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Review
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. 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 2 institutions in 1 country.

Chunping WuDepartment of Otorhinolaryngology Head and Neck Surgery, Shanghai Key Clinical Disciplines of Otorhinolaryngology, Eye & ENT Hospital of Fudan University, Shanghai, China.
Mei WangDepartment of Otolaryngology, Shanghai Municipal Hospital of Traditional Chinese Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, China.
Qiang HuangDepartment of Otorhinolaryngology Head and Neck Surgery, Shanghai Key Clinical Disciplines of Otorhinolaryngology, Eye & ENT Hospital of Fudan University, Shanghai, China.
Yang GuoDepartment of Otorhinolaryngology Head and Neck Surgery, Shanghai Key Clinical Disciplines of Otorhinolaryngology, Eye & ENT Hospital of Fudan University, Shanghai, China.
Hongli GongDepartment of Otorhinolaryngology Head and Neck Surgery, Shanghai Key Clinical Disciplines of Otorhinolaryngology, Eye & ENT Hospital of Fudan University, Shanghai, China.
Chunyan HuDepartment of Pathology, Eye & ENT Hospital of Fudan University, Shanghai, China.
Liang ZhouDepartment of Otorhinolaryngology Head and Neck Surgery, Shanghai Key Clinical Disciplines of Otorhinolaryngology, Eye & ENT Hospital of Fudan University, Shanghai, China.ORCID https://orcid.org/0000-0002-8588-2959
Eye & ENT Hospital of Fudan University · CNShanghai University of Traditional Chinese Medicine · CN

Funding

National Natural Science Foundations of China 81972529Natural Science Foundation of Shanghai University of Traditional Chinese Medicine 2019LK029
6 · The paper itself

Abstract

backgroundAberrant expression of exosomal miRNAs has emerged as a research hotspot. However, no studies have been conducted on the dysregulation of exosomal miRNAs derived from cancer-associated fibroblasts (CAFs) in supraglottic laryngeal squamous cell carcinoma (SLSCC).

methodsCancer-associated fibroblasts and paired normal fibroblasts (NFs) from SLSCC patients were cultured, and exosomes in the culture supernatants were collected and identified. Exosomal miRNA expression was compared in each pair of CAFs and NFs by next-generation sequencing, and expression of selected exosomal miRNAs was validated by reverse transcription-quantitative PCR. Four online bioinformatic algorithms predicted the potential target genes of aberrantly expressed miRNAs, while gene ontology and Kyoto Encyclopaedia of Genes and Genomes (KEGG) pathway enrichment and network analysis identified downstream target genes and their interactions.

resultsThree pairs of CAFs and NFs were successfully cultured and purified. CAF-derived exosomal miRNAs were mostly downregulated and included miR-656-3p, miR-337-5p, miR-29a-3p and miR-655-3p; however, some, including miR-184-3p, miR-92a-1-5p, miR-212-3p and miR-3135b, were upregulated. Bioinformatics analysis revealed involvement of these miRNAs in biological processes, cellular components and molecular functions. KEGG analysis revealed the top 30 pathways involvement in cancer initiation and progression and in cell cycle regulation. An interaction network showed miR-16-5p, miR-29a-3p, miR-34c-5p, miR-32-5p and miR-490-5p as the top five miRNAs and CCND1, CDKN1B, CDK6, PTEN and FOS as the top five target genes.

conclusionsSLSCC patients showed aberrant expression of CAF-derived exosomal miRNAs. The top five miRNAs and their target genes may jointly constitute a carcinogenic tumour microenvironment and act as biomarkers for SLSCC intervention.

Indexed as

Head and Neck NeoplasmsSquamous Cell Carcinoma of Head and NeckCancer-Associated FibroblastsCells, CulturedComputational BiologyExosomesGene Expression Regulation, NeoplasticHumansMaleMicroRNAsTranscriptomeMicroRNAscancer-associated fibroblastexosomelaryngeal squamous cell carcinomamiRNAssupraglottic

Identifiers

PMID34788477
PMCPMC8761437
OpenAlexW3212453281

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.