Evidence map›Paper›PMID 29725260›Full record

ReviewInternational journal of biological sciences2018

MicroRNAs associated with therapy of non-small cell lung cancer.

Junmi Lu, Yuting Zhan, Juan Feng, Jiadi Luo, Songqing Fan

Abstract readReview
In one paragraph

Review in International journal of biological sciences, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 48 papers.

0numbers the graph read from it
0cells of the map it votes in
48citing 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

48 citing papers in PubMed.

  1. Review
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  10. APE1 controls DICER1 expression in NSCLC through miR-33a and miR-130b.Cellular and molecular life sciences : CMLS · 2022
    Article
  11. Review
  12. Article
  13. Molecular Pathology of Lung Cancer.Cold Spring Harbor perspectives in medicine · 2022
    Review
  14. Article
  15. Article
  16. Expression ofCell journal · 2021
    Article
  17. Review
  18. Review
  19. Article
  20. 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

5 authors.

Junmi LuDepartment of Pathology, the Second Xiangya Hospital, Central South University, Changsha, Hunan, China.
Yuting ZhanDepartment of Pathology, the Second Xiangya Hospital, Central South University, Changsha, Hunan, China.
Juan FengDepartment of Pathology, the Second Xiangya Hospital, Central South University, Changsha, Hunan, China.
Jiadi LuoDepartment of Pathology, the Second Xiangya Hospital, Central South University, Changsha, Hunan, China.
Songqing FanDepartment of Pathology, the Second Xiangya Hospital, Central South University, Changsha, Hunan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND &

objectiveThe incidence of non-small cell lung cancer (NSCLC) has been rising over the past several decades. Despite various therapeutic regimens and modern diagnostic techniques are developed, NSCLC still have an extremely poor prognosis due to drug resistance. Therefore, it is critical to find a novel precise diagnosis and effective treatment approach for NSCLC patients. MicroRNAs (MiRNAs) are a class of 18-25nt non-coding small RNAs, which have been shown to be involved profoundly in the pathogenesis such as cellular proliferation, differentiation, development, apoptosis and tumorigenesis in many human tumors including of NSCLC. We reviewed existing research literature regarding correlations between miRNAs and their target's response to anticancer treatment, and summarized the recent findings between miRNAs and therapy availability in NSCLC.

Indexed as

Antineoplastic AgentsCarcinoma, Non-Small-Cell LungDrug Resistance, NeoplasmEpithelial-Mesenchymal TransitionHumansLung NeoplasmsMicroRNAsModels, MolecularAntineoplastic AgentsMicroRNAsmicroRNAsNSCLCradio-chemotherapytargeted therapy

Identifiers

PMID29725260
PMCPMC5930471

What OpenQuestion holds

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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.