Evidence map›Paper›PMID 36659932›Full record

ArticleComputational and structural biotechnology journal2023

Integrative network analysis reveals subtype-specific long non-coding RNA regulatory mechanisms in head and neck squamous cell carcinoma.

Jiang Li, Tan Wu, Kai Song, Lina Zhu, Yijuan Wang, Tingting Chen, Xin Wang

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

Article in Computational and structural biotechnology journal, 2023. 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
0.9field-weighted citation impact, top 29% 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, 9 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Integrative machine learning and neural networks for identifying PANoptosis-related lncRNA molecular subtypes and constructing a predictive model for head and neck squamous cell carcinoma.European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery · 2024
    Article
  5. Article
  6. Article
  7. Article
  8. 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 2 countries.

Jiang LiDepartment of Surgery, The Chinese University of Hong Kong, Shatin, Hong Kong SAR, China.
Tan WuDepartment of Surgery, The Chinese University of Hong Kong, Shatin, Hong Kong SAR, China.
Kai SongDepartment of Surgery, The Chinese University of Hong Kong, Shatin, Hong Kong SAR, China.
Lina ZhuDepartment of Surgery, The Chinese University of Hong Kong, Shatin, Hong Kong SAR, China.
Yijuan WangDepartment of Surgery, The Chinese University of Hong Kong, Shatin, Hong Kong SAR, China.
Tingting ChenDepartment of Surgery, The Chinese University of Hong Kong, Shatin, Hong Kong SAR, China.
Xin WangDepartment of Surgery, The Chinese University of Hong Kong, Shatin, Hong Kong SAR, China.
Chinese University of Hong Kong · HKCity University of Hong Kong · HK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Head and neck squamous cell carcinoma (HNSC) is one of most common malignancies with high mortality worldwide. Importantly, the molecular heterogeneity of HNSC complicates the clinical diagnosis and treatment, leading to poor overall survival outcomes. To dissect the complex heterogeneity, recent studies have reported multiple molecular subtyping systems. For instance, HNSC can be subdivided to four distinct molecular subtypes: atypical, basal, classical, and mesenchymal, of which the mesenchymal subtype is characterized by upregulated epithelial-mesenchymal transition (EMT) and associated with poorer survival outcomes. Despite a wealth of studies into the complex molecular heterogeneity, the regulatory mechanism specific to this aggressive subtype remain largely unclear. Herein, we developed a network-based bioinformatics framework that integrates lncRNA and mRNA expression profiles to elucidate the subtype-specific regulatory mechanisms. Applying the framework to HNSC, we identified a clinically relevant lncRNA

Indexed as

AUC, area under the curveBH, Benjamini-HochbergceRNA, the competitive endogenous RNACI, confidence intervalCompetitive endogenous RNACTRP, The Cancer Therapeutics Response PortalDEG, differentially expressed geneDEX, dexamethasoneDFS, disease-free survivalEMT, epithelial-mesenchymal transitionFPKM, fragments per kilobase millionGEO, Gene Expression OmnibusGO, Gene OntologyGSEA, gene set enrichment analysisHead and neck cancerHNSC, head and neck squamous cell carcinomaHR, hazard ratioICGC, The International Cancer Genome ConsortiumKEGG, Kyoto Encyclopedia of Genes and GenomesLASSO, least absolute shrinkage and selection operatorlncRNA, long non-coding RNALong non-coding RNAsmiRNA, microRNANetwork inferenceOS, overall survivalROC, receiver operating characteristic curveSubtype-specificTCGA, The Cancer Genome AtlasTPM, transcripts per millionUCSC, the University of California Santa Cruz

Identifiers

PMID36659932
PMCPMC9816915
OpenAlexW4313530547

What Socratic 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 Socratic graph.