Evidence map›Paper›PMID 33308216›Full record

ArticleBMC medical genomics2020

Identification of LINC02310 as an enhancer in lung adenocarcinoma and investigation of its regulatory network via comprehensive analyses.

Wenyuan Zhao, Jun Wang, Qingxi Luo, Wei Peng, Bin Li, Lei Wang, Chunfang Zhang, Chaojun Duan

Open access · goldAbstract read
In one paragraph

Article in BMC medical genomics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.3field-weighted citation impact, top 48% 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

5 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Web tools to perform long non-coding RNAs analysis in oncology research.Database : the journal of biological databases and curation · 2021
    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

8 authors at 2 institutions in 1 country.

Wenyuan ZhaoDepartment of Thoracic Surgery, Xiangya Hospital, Central South University, Changsha, Hunan, People's Republic of China.
Jun WangDepartment of Thoracic Surgery, Xiangya Hospital, Central South University, Changsha, Hunan, People's Republic of China.
Qingxi LuoDepartment of Thoracic Surgery, Xiangya Hospital, Central South University, Changsha, Hunan, People's Republic of China.
Wei PengDepartment of Thoracic Surgery, Xiangya Hospital, Central South University, Changsha, Hunan, People's Republic of China.
Bin LiDepartment of Oncology, Xiangya Hospital, Central South University, Changsha, Hunan, People's Republic of China.
Lei WangInstitute of Medical Sciences, Xiangya Hospital, Central South University, Changsha, Hunan, People's Republic of China.
Chunfang ZhangDepartment of Thoracic Surgery, Xiangya Hospital, Central South University, Changsha, Hunan, People's Republic of China.
Chaojun DuanDepartment of Thoracic Surgery, Xiangya Hospital, Central South University, Changsha, Hunan, People's Republic of China. duancjxy@126.com.
Central South University · CNXiangya Hospital Central South University · CN

Funding

National Natural Science Foundation of China 81372515National Natural Science Foundation of China 81572281National Natural Science Foundation of China 81974367Natural Science Foundation of Hunan Province 2018JJ6131
6 · The paper itself

Abstract

backgroundLung adenocarcinoma (LADC) is a major subtype of non-small cell lung cancer and has one of the highest mortality rates. An increasing number of long non-coding RNAs (LncRNAs) were reported to be associated with the occurrence and progression of LADC. Thus, it is necessary and reasonable to find new prognostic biomarkers for LADC among LncRNAs.

methodsDifferential expression analysis, survival analysis, PCR experiments and clinical feature analysis were performed to screen out the LncRNA which was significantly related to LADC. Its role in LADC was verified by CCK-8 assay and colony. Furthermore, competing endogenous RNA (ceRNA) regulatory network construction, enrichment analysis and protein-protein interaction (PPI) network construction were performed to investigate the downstream regulatory network of the selected LncRNA.

resultsA total of 2431 differentially expressed LncRNAs (DELncRNAs) and 2227 differentially expressed mRNAs (DEmRNAs) were from The Cancer Genome Atlas database. Survival analysis results indicated that lnc-YARS2-5, lnc-NPR3-2 and LINC02310 were significantly related to overall survival. Their overexpression indicated poor prognostic. PCR experiments and clinical feature analysis suggested that LINC02310 was significantly correlated with TNM-stage and T-stage. CCK-8 assay and colony formation assay demonstrated that LINC02310 acted as an enhancer in LADC. In addition, 3 targeted miRNAs of LINC02310 and 414 downstream DEmRNAs were predicted. The downstream DEmRNAs were then enriched in 405 Gene Ontology terms and 11 Kyoto Encyclopedia of Genes and Genomes pathways, which revealed their potential functions and mechanisms. The PPI network showed the interactions among the downstream DEmRNAs.

conclusionsThis study verified LINC02310 as an enhancer in LADC and performed comprehensive analyses on its downstream regulatory network, which might benefit LADC prognoses and therapies.

Indexed as

Gene Regulatory NetworksAdenocarcinoma of LungBiomarkers, TumorCarcinoma, Non-Small-Cell LungDatasets as TopicGene Expression Regulation, NeoplasticGene OntologyHumansKaplan-Meier EstimateLung NeoplasmsNeoplasm StagingPrognosisProtein Interaction MapsRNA, Long NoncodingRNA, MessengerRNA, NeoplasmBiomarkers, TumorRNA, Long NoncodingRNA, MessengerRNA, NeoplasmceRNA regulatory networkLADCLncRNAPPITCGA

Identifiers

PMID33308216
PMCPMC7731780
OpenAlexW3112441346

What Socratic holds

Textmetadata
LicenceCC BY
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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 Socratic graph.