Evidence map›Paper›PMID 27695346›Full record

ArticleOncoTargets and therapy2016

MicroRNA expression profiles predict progression and clinical outcome in lung adenocarcinoma.

Kang Lin, Tao Xu, Bang-Shun He, Yu-Qin Pan, Hui-Ling Sun, Hong-Xin Peng, Xiu-Xiu Hu, Shu-Kui Wang

Abstract read
In one paragraph

Article in OncoTargets and therapy, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing 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

33 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. miR-31-5p modulates cell progression in lung adenocarcinoma through TNS1/p53 axis.Strahlentherapie und Onkologie : Organ der Deutschen Rontgengesellschaft ... [et al] · 2022
    Article
  9. Article
  10. Cell Behavior of Non-Small Cell Lung Cancer Is at EGFR and MicroRNAs Hands.International journal of molecular sciences · 2021
    Review
  11. Longitudinal evaluation of whole blood miRNA expression in firefighters.Journal of exposure science & environmental epidemiology · 2021
    Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Review
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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

8 authors.

Kang LinCentral Laboratory, Nanjing First Hospital, Nanjing Medical University.
Tao XuCentral Laboratory, Nanjing First Hospital, Nanjing Medical University.
Bang-Shun HeCentral Laboratory, Nanjing First Hospital, Nanjing Medical University.
Yu-Qin PanCentral Laboratory, Nanjing First Hospital, Nanjing Medical University.
Hui-Ling SunCentral Laboratory, Nanjing First Hospital, Nanjing Medical University.
Hong-Xin PengMedical School, Southeast University, Nanjing, Jiangsu, People's Republic of China.
Xiu-Xiu HuMedical School, Southeast University, Nanjing, Jiangsu, People's Republic of China.
Shu-Kui WangCentral Laboratory, Nanjing First Hospital, Nanjing Medical University.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lung cancer is one of the leading causes of cancer death worldwide. Accumulating evidence has indicated that microRNAs (miRNAs) can be proposed as promising diagnostic and prognostic markers for various cancers. The current study analyzed the miRNA expression profiles of 418 lung adenocarcinoma (LUAD) cases obtained from The Cancer Genome Atlas dataset, with the aim to investigate the relationship of miRNAs with progression and prognosis of LUAD. A total of 185 miRNAs were found to be differentially expressed between LUAD tumor tissues and adjacent normal tissues. Among them, 13, 10, 0, and 10 miRNAs were discovered to be associated with pathologic T, N, M, and Stage, respectively. Interestingly, mir-200 family (mir-200a, mir-200b, and mir-429) was shown to play a critical role in the progression of LUAD. In the multivariate Cox regression analysis, mir-1468 (

Indexed as

lung adenocarcinomamicroRNAprognosisprogression

Identifiers

PMID27695346
PMCPMC5029843

What OpenQuestion holds

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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.