Evidence map›Paper›PMID 36447000›Full record

ArticleMolecular biotechnology2023

Prediction of Potential Biomarkers in Early-Stage Nasopharyngeal Carcinoma Based on Platelet RNA Sequencing.

Yuanji Xu, Lin Chen, Yijian Chen, Wangzhong Ye, Xinyi Huang, Mingyao Ke, Guodong Ye, Liancheng Lin, Kangmei Dong, Zhizhong Lin and 2 more

Open access · hybridAbstract read
In one paragraph

Article in Molecular biotechnology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.7field-weighted citation impact, top 35% 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, 7 citations in OpenAlex.

  1. Article
  2. Diagnostic Value ofDiagnostics (Basel, Switzerland) · 2023
    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

12 authors at 4 institutions in 1 country.

Yuanji Xu *Department of Radiation Oncology, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, No.420, Fuma Road, Fuzhou, 350014, Fujian, China.
Lin Chen *Department of Radiation Oncology, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, No.420, Fuma Road, Fuzhou, 350014, Fujian, China.
Yijian ChenDepartment of Radiation Oncology, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, No.420, Fuma Road, Fuzhou, 350014, Fujian, China.
Wangzhong YeCancer Center, West China Xiamen Hospital of Sichuan University, Xiamen, Fujian, China.
Xinyi HuangDepartment of Radiation Oncology, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, No.420, Fuma Road, Fuzhou, 350014, Fujian, China.
Mingyao KeInstitute of Respiratory Diseases, Xiamen Medical College, Xiamen, Fujian, China.
Guodong YeInstitute of Respiratory Diseases, Xiamen Medical College, Xiamen, Fujian, China.
Liancheng LinInstitute of Respiratory Diseases, Xiamen Medical College, Xiamen, Fujian, China.
Kangmei DongXiamen LifeInt Technology Co., Ltd, Xiamen, Fujian, China.
Zhizhong LinDepartment of Radiation Oncology, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, No.420, Fuma Road, Fuzhou, 350014, Fujian, China.
Penggang BaiDepartment of Radiation Oncology, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, No.420, Fuma Road, Fuzhou, 350014, Fujian, China.
Chuanben ChenDepartment of Radiation Oncology, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, No.420, Fuma Road, Fuzhou, 350014, Fujian, China. chenchuanben2010@126.com.ORCID http://orcid.org/0000-0001-6959-3113
Fujian Medical University · CNTan Kah Kee Innovation Laboratory · CNXiamen Medical CollegeXiamen University · CN

Funding

Fujian Provincial Department of Science and Technology 2018Y9107Fujian Provincial Department of Science and Technology 2019Y9034Natural Science Foundation of Fujian Province 2020Y2012
6 · The paper itself

Abstract

Early diagnosis is essential for the treatment and prevention of nasopharyngeal cancer. However, there is a lack of effective biological indicators for nasopharyngeal carcinoma (NPC). Therefore, we explored the potential biomarkers in tumour-educated blood platelet (TEP) RNA in early NPC. Platelets were isolated from blood plasma and their RNA was extracted. High-throughput sequenced data from a total of 33 plasma samples were analysed using DESeq2 to identify the differentially expressed genes (DEGs). Subsequently, the DEGs were subjected to principal component analysis (PCA), gene ontology (GO) analysis, and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis; and Cytoscape, TargetScan, and miRanda software were used for inferring the competing endogenous RNA network. We identified 19 long non-coding (lnc) RNAs (DElncRNAs) and 248 mRNAs (DEmRNAs) that were differentially expressed in the TEP RNA. In addition, SELP gene mRNA and lncRNAs AC092135.3, AC012358.2, AL021807.1, AP001972.5, and GPX1 were found to be down-regulated DEmRNA and DElncRNAs in the early stage of NPC. Bioinformatic analysis showed that these DEmRNAs and DElncRNAs may be involved in regulating the pathogenesis of NPC. Our research may provide new insights for exploring the biological mechanisms of NPC and early diagnosis using potential biomarkers.

Indexed as

Nasopharyngeal NeoplasmsRNA, Long NoncodingBiomarkers, TumorBlood PlateletsGene Expression ProfilingGene Expression Regulation, NeoplasticHumansNasopharyngeal CarcinomaRNA, MessengerSequence Analysis, RNABiomarkers, TumorRNA, Long NoncodingRNA, MessengerBiomarkersDifferentially expressed lncRNAsDifferentially expressed mRNAsNasopharyngeal carcinomaTumour-educated blood platelets

Identifiers

PMID36447000
PMCPMC10271896
OpenAlexW4310351173

What OpenQuestion 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 OpenQuestion graph.