Evidence map›Paper›PMID 33627711›Full record

ArticleScientific reports2021

Identification of LINC00665-miR-let-7b-CCNA2 competing endogenous RNA network associated with prognosis of lung adenocarcinoma.

Yusheng Huang, Limei Zhong, Kechao Nie, Lijuan Li, Shaohua Song, Fengbin Liu, Peiwu Li, Donglin Cao, Yufeng Liu

Abstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
–field-weighted citation impact
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

14 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. The Emerging Roles of LINC00665 in Human Cancers.Frontiers in cell and developmental biology · 2022
    Review
  11. Review
  12. Review
  13. Article
  14. 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

9 authors.

Yusheng Huang *Department of Gastroenterology, The First Affiliated Hospital of Guangzhou University of Chinese Medicine, No. 12 Airport Road, Baiyun District, Guangzhou, 510407, China.
Limei Zhong *Department of Laboratory Medicine, Guangdong Second Provincial General Hospital, Guangzhou, 510317, China.
Kechao Nie *Department of Gastroenterology, The First Affiliated Hospital of Guangzhou University of Chinese Medicine, No. 12 Airport Road, Baiyun District, Guangzhou, 510407, China.
Lijuan LiDepartment of Laboratory Medicine, Guangdong Second Provincial General Hospital, Guangzhou, 510317, China.
Shaohua SongDepartment of Laboratory Medicine, Guangdong Second Provincial General Hospital, Guangzhou, 510317, China.
Fengbin LiuDepartment of Gastroenterology, The First Affiliated Hospital of Guangzhou University of Chinese Medicine, No. 12 Airport Road, Baiyun District, Guangzhou, 510407, China.
Peiwu LiDepartment of Gastroenterology, The First Affiliated Hospital of Guangzhou University of Chinese Medicine, No. 12 Airport Road, Baiyun District, Guangzhou, 510407, China.
Donglin CaoDepartment of Laboratory Medicine, Guangdong Second Provincial General Hospital, Guangzhou, 510317, China. caodl@126.com.
Yufeng LiuDepartment of Gastroenterology, The First Affiliated Hospital of Guangzhou University of Chinese Medicine, No. 12 Airport Road, Baiyun District, Guangzhou, 510407, China. wenrenlyf2008@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Prognosis of patients with lung cancer remains extremely poor; thus, we sought to unearth novel competing endogenous RNA (ceRNA) networks associated with the prognosis of lung adenocarcinoma (LUAD). Aberrant mRNAs were identified from the intersection of three Gene Expression Omnibus (GEO) datasets. A protein-protein interaction (PPI) network was constructed, and miRNAs and long noncoding RNAs (lncRNAs) upstream of mRNAs were predicted. In the present study, 402 upregulated and 638 downregulated genes in lung cancer tissues were identified. Functional analysis showed significant enrichment of cancer pathways. In these top hub genes, 10 upregulated and 7 downregulated genes had substantial prognostic values in LUAD. Thirty-seven miRNAs were predicted to target 17 key genes, and only five miRNAs exhibited prognostic correlation. Through stepwise reverse prediction and validation from miRNA to lncRNA, four key lncRNAs were identified using expression and survival analysis. Ultimately, the co-expression analysis identified LINC00665-miR-let-7b-CCNA2 as the key ceRNA network associated with the prognosis of LUAD. We successfully constructed a novel ceRNA network wherein each component was significantly associated with the prognosis of LUAD. Hence, we propose that this network may provide key biomarkers or potential therapeutic targets for LUAD prognosis.

Indexed as

Adenocarcinoma of LungAgedCyclin A2Down-RegulationFemaleGene Expression Regulation, NeoplasticGene Regulatory NetworksHumansLungLung NeoplasmsMaleMicroRNAsMiddle AgedPrognosisRNA, Long NoncodingUp-RegulationCCNA2 protein, humanCyclin A2MicroRNAsRNA, Long Noncoding

Identifiers

PMID33627711
PMCPMC7904782

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.