Evidence map›Paper›PMID 28849055›Full record

ArticleMolecular medicine reports2017

Microarray data re-annotation reveals specific lncRNAs and their potential functions in non-small cell lung cancer subtypes.

Dongbo Zhou, Mingxuan Xie, Baimei He, Ying Gao, Qiao Yu, Bixiu He, Qiong Chen

Open access · hybridAbstract read
In one paragraph

Article in Molecular medicine reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
1.0field-weighted citation impact, top 28% 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, 1 synthesis or guideline pooled it, 16 citations in OpenAlex.

  1. Pooled it
  2. LncRNAIranian journal of public health · 2022
    Article
  3. Review
  4. Identification of New Potential LncRNA Biomarkers in Hirschsprung Disease.International journal of molecular sciences · 2020
    Article
  5. Article
  6. Effects of conditioned media from murine lung cancer cells and human tumor cells on cultured myotubes.American journal of physiology. Endocrinology and metabolism · 2020
    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 1 country.

Dongbo ZhouDepartment of Gerontology, Xiangya Hospital of Central South University, Changsha, Hunan 410078, P.R. China.
Mingxuan XieDepartment of Gerontology, Xiangya Hospital of Central South University, Changsha, Hunan 410078, P.R. China.
Baimei HeDepartment of Gerontology, Xiangya Hospital of Central South University, Changsha, Hunan 410078, P.R. China.
Ying GaoDepartment of Gerontology, Xiangya Hospital of Central South University, Changsha, Hunan 410078, P.R. China.
Qiao YuDepartment of Gerontology, Xiangya Hospital of Central South University, Changsha, Hunan 410078, P.R. China.
Bixiu HeDepartment of Gerontology, Xiangya Hospital of Central South University, Changsha, Hunan 410078, P.R. China.
Qiong ChenDepartment of Gerontology, Xiangya Hospital of Central South University, Changsha, Hunan 410078, P.R. China.
Central South University · CNXiangya Hospital Central South University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Non‑small‑cell lung cancer (NSCLC) is a leading cause of cancer mortality worldwide. The most common subtypes of NSCLC are adenocarcinoma (AC) and squamous cell carcinoma (SCC). However, the pathophysiological mechanisms contributing to AC and SCC are still largely unknown, especially the roles of long non‑coding RNAs (lncRNAs). The present study identified differentially expressed lncRNAs between lung AC and SCC by re‑annotation of NSCLC microarray data analysis profiling. The potential functions of lncRNAs were predicted by using coding‑non‑coding gene co‑expressing network. Reverse transcription-quantitative polymerase chain reaction (RT‑qPCR) was used to investigate lncRNA expression levels in AC cell lines (A549 and L78), SCC cell lines (H226 and H520) and normal cells (NL‑20). Western blotting analysis was used to investigate the protein expression levels in these cell lines. A total of 65 lncRNAs were differentially expressed between AC and SCC including 28 lncRNAs that were downregulated in SCC subtypes compared with those in AC ones, and 37 upregulated lncRNAs in SCC subtypes compared with AC subtypes. Three lncRNAs, sex determining region Y‑box 2 overlapping transcript (SOX2‑OT), NCBP2 antisense RNA 2 (NCBP2‑AS2) and ubiquitin like with PHD and ring finger domains 1 (UHRF1), were predicted to be associated with lung cancer; RT‑qPCR confirmed that SOX2‑OT and NCBP2‑AS2 were associated with lung cancer. Finally, western blot assays demonstrated that there was no difference in β‑catenin and glycogen synthase kinase 3β (GSK‑3β) expression in cancer cells compared with NL‑20, but increased phosphorylated (p‑)β‑catenin and p‑GSK‑3β was detected in lung cancer cell lines compared with NL‑20, particularly in A549 cells. Although these results require further experimental verification, the analysis of lncRNA signatures between AC and SCC has provided insights into the regulatory mechanism of NSCLC development.

Indexed as

Computational BiologyGene Expression ProfilingTranscriptomeCarcinoma, Non-Small-Cell LungCell Line, TumorCluster AnalysisGene Expression Regulation, NeoplasticGene Regulatory NetworksHumansLung NeoplasmsMolecular Sequence AnnotationRNA, Long NoncodingWnt Signaling PathwayRNA, Long Noncoding

Identifiers

PMID28849055
PMCPMC5647101
OpenAlexW2750088696

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.