Evidence map›Paper›PMID 30584356›Full record

ArticleCancer management and research2018

Long non-coding RNA 1308 promotes cell invasion by regulating the miR-124/ADAM 15 axis in non-small-cell lung cancer cells.

Hongliang Li, Xiaopeng Guo, Qiutian Li, Pengzhan Ran, Xudong Xiang, Yuncang Yuan, Tianqi Dong, Bei Zhu, Lei Wang, Fangfang Li and 5 more

Open access · goldAbstract read
In one paragraph

Article in Cancer management and research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
1.5field-weighted citation impact, top 19% 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

15 citing papers in PubMed, 29 citations in OpenAlex.

  1. Review
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  5. Review
  6. Competing endogenous RNAs in lung cancer.Cancer biology & medicine · 2021
    Review
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  10. Observational
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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

15 authors at 2 institutions in 1 country.

Hongliang LiSchool of Medicine, Yunnan University, Kunming, China, chjxiao@ynu.edu.cn; shangyong@ynu.edu.cn.
Xiaopeng GuoSchool of Medicine, Yunnan University, Kunming, China, chjxiao@ynu.edu.cn; shangyong@ynu.edu.cn.
Qiutian LiDepartment of Oncology, Kunming General Hospital of Chengdu Military Command, Teaching Hospital of Kunming Medical University, Kunming, China.
Pengzhan RanSchool of Medicine, Yunnan University, Kunming, China, chjxiao@ynu.edu.cn; shangyong@ynu.edu.cn.
Xudong XiangDepartment of Thoracic Surgery, The Third Affiliated Hospital of Kunming Medical University, Kunming, China.
Yuncang YuanSchool of Medicine, Yunnan University, Kunming, China, chjxiao@ynu.edu.cn; shangyong@ynu.edu.cn.
Tianqi DongSchool of Medicine, Yunnan University, Kunming, China, chjxiao@ynu.edu.cn; shangyong@ynu.edu.cn.
Bei ZhuSchool of Medicine, Yunnan University, Kunming, China, chjxiao@ynu.edu.cn; shangyong@ynu.edu.cn.
Lei WangSchool of Medicine, Yunnan University, Kunming, China, chjxiao@ynu.edu.cn; shangyong@ynu.edu.cn.
Fangfang LiSchool of Medicine, Yunnan University, Kunming, China, chjxiao@ynu.edu.cn; shangyong@ynu.edu.cn.
Chunyan YangSchool of Medicine, Yunnan University, Kunming, China, chjxiao@ynu.edu.cn; shangyong@ynu.edu.cn.
Dengcai MuSchool of Medicine, Yunnan University, Kunming, China, chjxiao@ynu.edu.cn; shangyong@ynu.edu.cn.
Dan WangDepartment of Pharmacy, Kunming General Hospital of Chengdu Military Command, Teaching Hospital of Kunming Medical University, Kunming, China.
Chunjie XiaoSchool of Medicine, Yunnan University, Kunming, China, chjxiao@ynu.edu.cn; shangyong@ynu.edu.cn.
Shangyong ZhengSchool of Medicine, Yunnan University, Kunming, China, chjxiao@ynu.edu.cn; shangyong@ynu.edu.cn.
Yunnan University · CNKunming Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeEmerging evidence suggests that many differentially expressed long non-coding RNAs (lncRNAs) are involved in tumorigenesis. However, the functional roles of these transcripts and the mechanisms responsible for their deregulation in non-small-cell lung cancer (NSCLC) remain elusive. Here, we identified a novel lncRNA (lncRNA 1308), which was significantly upregulated in NSCLC tissues and investigated its biological function and potential molecular mechanism.

methodsDifferences in the lncRNA expression profiles between NSCLC and tumor-adjacent normal tissues were assessed by lncRNA expression microarray analysis. The microRNA in vivo precipitation (miRIP) method was used to identify the targeting microRNAs (miRNAs) on lncRNA 1308, and luciferase reporter assays were performed. Loss-of-function studies were used to explore the effect of lncRNA 1308 on lung carcinogenesis in NSCLC cells.

resultsThe novel lncRNA 1308 was upregulated in NSCLC tissues and cell lines. By using biotin-labeled lncRNA 1308 for miRIP in NSCLC cells and dual-luciferase reporter assays, the results suggested that miRNA-124 was associated with lncRNA 1308. Furthermore, the expression of a disintegrin and a metalloproteinase 15 (ADAM 15) was downregulated in NSCLC cells when silencing of lncRNA 1308, the target of oncogenic miR-124, inhibits NSCLC cell proliferation and invasion. Conversely, the expression of ADAM 15 was significantly increased, when inhibiting the expression of miR-124, and alleviated cell invasion inhibition.

conclusionThe results suggested that lncRNA 1308 may function as a competing endogenous RNA (ceRNA) for miR-124 to regulate cell invasion through the miR-124/ADAM 15 signaling pathway, indicating that lncRNA 1308 plays an important role in the disease progression of NSCLC.

Indexed as

ADAM 15competing endogenous RNAlncRNA 1308lung cancermiR-124

Identifiers

PMID30584356
PMCPMC6283259
OpenAlexW2902031539

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.