Evidence map›Paper›PMID 36741263›Full record

ArticleJournal of Cancer2023

Identification of a CircRNA-miRNA-mRNA Network and Integrated Analysis of Immune Infiltration in Oral Squamous Cell Carcinoma.

Dehua Hu, Yufeng Cai, Lan He, Hao Jiang

Open access · goldAbstract read
In one paragraph

Article in Journal of Cancer, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
0.3field-weighted citation impact, top 38% 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

2 citing papers in PubMed, 1 synthesis or guideline pooled it, 2 citations in OpenAlex.

  1. Pooled it
  2. [The function of circular RNA-microRNA-messenger RNA immune regulatory network in childhood allergic asthma].Zhongguo dang dai er ke za zhi = Chinese journal of contemporary pediatrics · 2025
    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

4 authors at 2 institutions in 1 country.

Dehua HuDepartment of Biomedical Informatics, School of Life Sciences, Central South University, Changsha, Hunan 410078, China.
Yufeng CaiDepartment of Biomedical Informatics, School of Life Sciences, Central South University, Changsha, Hunan 410078, China.
Lan HeCollege of Biology, Hunan University, Changsha, Hunan 410078, China.
Hao JiangDepartment of Biomedical Informatics, School of Life Sciences, Central South University, Changsha, Hunan 410078, China.
Central South University · CNHunan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Oral squamous cell carcinoma (OSCC) is a highly invasive type of head and neck cancer. Circular RNA (circRNA) acts as a competing endogenous RNA (ceRNA) and involves in pathogenesis of many diseases. However, the circRNA-miRNA-mRNA network and relationship between ceRNA and immune infiltration in OSCC remain unknown. In this study, we established a ceRNA network, including 89 circRNAs, 43 miRNAs and 223 mRNAs, and found that 233 genes are mainly related to malignant signalling pathways (including "Integrin family cell surface interactions" and "Epithelial-to-mesenchymal transition" pathways) and five potential biomarkers (SLC20A1, PITX2, hsa-mir-135b, hsa-mir-377 and hsa-let-7c). Meanwhile, we established a prognostic model based on clinical risk, and revealed the relationship between immune infiltrating cells and biomarkers in OSCC. Taken together, our study is helpful to reveal the pathogenesis of oral squamous cell carcinoma.

Indexed as

bioinformaticsceRNAcircRNAimmune infiltrationOral squamous cell carcinoma

Identifiers

PMID36741263
PMCPMC9891867
OpenAlexW4313533012

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.