Evidence map›Paper›PMID 34898376›Full record

ArticleBioengineered2021

Excavating novel diagnostic and prognostic long non-coding RNAs (lncRNAs) for head and neck squamous cell carcinoma: an integrated bioinformatics analysis of competing endogenous RNAs (ceRNAs) and gene co-expression networks.

Liu Yang, Pingan Lu, Xiaohui Yang, Kaiguo Li, Xuxia Chen, Song Qu

Open access · goldAbstract read
In one paragraph

Article in Bioengineered, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 1 pooled it
1.7field-weighted citation impact, top 15% 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

19 citing papers in PubMed, 1 synthesis or guideline pooled it, 24 citations in OpenAlex.

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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

6 authors at 2 institutions in 2 countries.

Liu YangDepartment of Radiation Oncology, Guangxi Medical University Cancer Hospital, Nanning, China.
Pingan LuFaculty of Medicine, Amsterdam UMC, Univ of Amsterdam, Amsterdam, Netherlands.
Xiaohui YangDepartment of Radiation Oncology, Guangxi Medical University Cancer Hospital, Nanning, China.
Kaiguo LiDepartment of Radiation Oncology, Guangxi Medical University Cancer Hospital, Nanning, China.
Xuxia ChenDepartment of Radiation Oncology, Guangxi Medical University Cancer Hospital, Nanning, China.
Song QuDepartment of Radiation Oncology, Guangxi Medical University Cancer Hospital, Nanning, China.ORCID 0000-0003-2784-6148
Guangxi Medical University · CNAmsterdam University Medical Centers · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Long non-coding RNAs (lncRNAs) have been demonstrated to fine-tune gene regulations that govern a broad spectrum of oncogenic processes. Nonetheless, our understanding of the roles of lncRNAs and their interactions with miRNAs and mRNAs in HNSCC is still highly rudimentary. Here, we present a comprehensive bioinformatics analysis in which competing endogenous RNA (ceRNA) network construction and weighted gene co-expression network analysis (WGCNA) were combined to explore novel diagnostic and prognostic lncRNAs for HNSCC. Differentially expressed mRNAs (DEGs), miRNAs (DEMs) and lncRNAs (DELs) were identified based on the RNA sequencing data and clinical data retrieved from TCGA database. LncRNA-regulated ceRNA networks were constructed based on the interactive RNA pairs predicted by miRDB, miRcode and TargetScan. WGCNA was conducted to identify lncRNAs that were significantly correlated with patient overall survival (OS) and HNSCC tumor. RT-qPCR was employed to validate the expression of lncRNAs in HNSCC cell lines and patient sera. A ceRNA network consisting of 90 DEGs, 7 DEMs and 67 DELs associated with clinical traits was established. WGCNA and Kaplan-Meier survival analysis revealed that 5 DELs (MIR4435-2 HG, CASC9, LINC01980, STARD4-AS1 and MIR99AHG) were significantly correlated with OS of HNSCC patients, whereas DEL PART1 was most significantly correlated with the HNSCC tumor. The

Indexed as

Computational BiologyGene Expression Regulation, NeoplasticGene Regulatory NetworksCell Line, TumorGene Expression ProfilingHead and Neck NeoplasmsHumansKaplan-Meier EstimateMicroRNAsPrognosisReproducibility of ResultsRNA, Long NoncodingRNA, MessengerSquamous Cell Carcinoma of Head and NeckSurvival AnalysisMicroRNAsRNA, Long NoncodingRNA, MessengerbiomarkersceRNA networkHead and neck squamous cell carcinomalncRNAWGCNA

Identifiers

PMID34898376
PMCPMC8810019
OpenAlexW4200033379

What OpenQuestion holds

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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 OpenQuestion graph.