Evidence map›Paper›PMID 30431131›Full record

ArticleOncology reports2019

Pathway analysis of a genome‑wide association study on a long non‑coding RNA expression profile in oral squamous cell carcinoma.

Yong-Le Qiu, Yuan-Hang Liu, Jian-Dong Ban, Wen-Jing Wang, Mei Han, Peng Kong, Bing-Hui Li

Open access · hybridAbstract read
In one paragraph

Article in Oncology reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
0.7field-weighted citation impact, top 34% 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

10 citing papers in PubMed, 14 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. The Emerging Role of Exosomes in Oral Squamous Cell Carcinoma.Frontiers in cell and developmental biology · 2021
    Review
  7. Article
  8. Review
  9. Article
  10. Targeting Cellular Metabolism Modulates Head and Neck Oncogenesis.International journal of molecular sciences · 2019
    Review
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 4 institutions in 1 country.

Yong-Le QiuDepartment of Surgery, Fourth Affiliated Hospital, Hebei Medical University, Shijiazhuang, Hebei 050017, P.R. China.
Yuan-Hang LiuDepartment of Stomatology, Second Hospital of Shijiazhuang, Shijiazhuang, Hebei 050000, P.R. China.
Jian-Dong BanDepartment of Stomatology, Hebei Eye Hospital, Xingtai, Hebei 054000, P.R. China.
Wen-Jing WangDepartment of Surgery, Fourth Affiliated Hospital, Hebei Medical University, Shijiazhuang, Hebei 050017, P.R. China.
Mei HanDepartment of Biochemistry and Molecular Biology, Hebei Medical University, Shijiazhuang, Hebei 050000, P.R. China.
Peng KongDepartment of Biochemistry and Molecular Biology, Hebei Medical University, Shijiazhuang, Hebei 050000, P.R. China.
Bing-Hui LiDepartment of Surgery, Fourth Affiliated Hospital, Hebei Medical University, Shijiazhuang, Hebei 050017, P.R. China.
Hebei Medical University · CNFourth Hospital of Hebei Medical University · CNFirst Hospital of Shijiazhuang · CNHebei Eye Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Long non‑coding RNAs (lncRNAs) have been consistently demonstrated to be involved in oral squamous cell carcinoma (OSCC) as either tumor oncogenes or tumor suppressors. However, the underlying mechanisms of OSCC tumorigenesis and development have not yet been fully elucidated. The expression profiles of mRNAs and lncRNAs in OSCC were analyzed by a microarray assay. To verify the results of the microarray, 10 differentially expressed lncRNAs were randomly selected and measured by quantitative RT‑PCR (qRT‑PCR). Gene Ontology (GO) and metabolic pathway analyses were performed to analyze gene function and identify enriched pathways. Subsequently, two independent algorithms were used to predict the target genes of the lncRNAs. We identified 2,294 lncRNAs and 1,938 mRNAs that were differentially expressed in all three OSCC tissues by a microarray assay. Through the construction of co‑expression networks of differentially expressed genes, 4 critical lncRNAs nodes were identified as potential key factors in the pathogenesis of OSCC. Expression of the 4 critical lncRNA nodes was not associated with age, sex, smoking or tumor location (P>0.05) but was positively correlated with clinical stage, lymphatic metastasis, distant metastasis and survival status (P<0.05). Kaplan‑Meier analysis demonstrated that low expression levels of these 4 critical lncRNA nodes contributed to poor median progression‑free survival (PFS) and overall survival (OS) (P<0.05). GO and pathway analyses indicated that the functions and enriched pathways of many dysregulated genes are associated with cancer. Potential target genes of dysregulated lncRNAs were enriched in 43 metabolic pathways, with cancer pathways being the primary enrichment pathways. In summary, we analyzed the profile of lncRNAs in OSCC and identified the functions and enriched metabolic pathways of both dysregulated mRNAs and the target genes of dysregulated lncRNAs, providing new insights into molecular markers and therapeutic targets for OSCC.

Indexed as

Gene Expression Regulation, NeoplasticFemaleFollow-Up StudiesGene Expression ProfilingGene OntologyGene Regulatory NetworksGenome-Wide Association StudyHumansLymphatic MetastasisMaleMetabolic Networks and PathwaysMiddle AgedMouth NeoplasmsNeoplasm StagingProgression-Free SurvivalRNA, Long NoncodingRNA, Long NoncodingRNA, Messenger

Identifiers

PMID30431131
PMCPMC6312939
OpenAlexW2901176271

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.