Evidence map›Paper›PMID 26885027›Full record

ArticleInternational journal of clinical and experimental medicine2015

Prognostic significance of tissue miR-345 downregulation in non-small cell lung cancer.

Liming Chen, Xiaojie Li, Xiaojun Chen

Abstract read
In one paragraph

Article in International journal of clinical and experimental medicine, 2015. 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

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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. Silencing the expression of lncRNAAnnals of translational medicine · 2022
    Article
  2. Molecular Pathology of Lung Cancer.Cold Spring Harbor perspectives in medicine · 2022
    Review
  3. Article
  4. Review
  5. SARS-CoV-2 may regulate cellular responses through depletion of specific host miRNAs.American journal of physiology. Lung cellular and molecular physiology · 2020
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
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  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

3 authors.

Liming ChenDepartment of Oncology, The First Affiliated Hospital of Shantou University Medical College Shantou, Guangdong, China.
Xiaojie LiDepartment of Oncology, The First Affiliated Hospital of Shantou University Medical College Shantou, Guangdong, China.
Xiaojun ChenDepartment of Oncology, The First Affiliated Hospital of Shantou University Medical College Shantou, Guangdong, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMiRNAs might function as oncogenes or tumor suppressor genes in the tumorigenesis process. Dysregulation of miR-345 is a frequent event in many types of human cancers. However, the tissue miR-345 expression level in non-small cell lung cancer (NSCLC) and its potential clinical significance remains unknown. MATERIALS AND

methodsReal-time PCR was conducted to evaluate the expression level of miR-345 in NSCLC tissues as well as cell lines. Then the association between tissue miR-345 expression level and clinical outcome was investigated.

resultsThe expression level of miR-345 was significantly decreased in NSCLC tissues and cell lines compared with the controls (P<0.05; P<0.01). Tissue miR-345 expression level was associated with various clinicopathological parameters including LN metastasis (P=0.012), distant metastasis (P=0.007), TNM stage (P=0.008) and grade (P=0.030). In addition, the NSCLC patients in thelow tissue miR-345 expression group had significantly shorter 5-year overall survival time than those in the high tissue miR-345expression group (P=0.016). Multivariate analysis showed that tissue miR-345 was an independent risk factor for NSCLC (HR=3.921, 95% CI: 2.285-10.540; P=0.008).

conclusionsThe expression level of miR-345 was reduced in NSCLC tissues and cell lines. Low tissue miR-345 expression was associated with progression and poor prognosis of NSCLC, indicating that tissue miR-345 may serve as a novel prognostic marker in NSCLC.

Indexed as

BiomarkerMiR-345non-small cell lung cancerprognosis

Identifiers

PMID26885027
PMCPMC4723872

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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.