Evidence map›Paper›PMID 30013369›Full record

ReviewOncoTargets and therapy2018

MicroRNAs as potential biomarkers for diagnosis, therapy and prognosis of gastric cancer.

Hai-Liang Yuan, Ting Wang, Kun-He Zhang

Abstract readReview
In one paragraph

Review in OncoTargets and therapy, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers.

0numbers the graph read from it
0cells of the map it votes in
41citing 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

41 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Review
  8. Article
  9. The Role of MiRNA in Cancer: Pathogenesis, Diagnosis, and Treatment.Methods in molecular biology (Clifton, N.J.) · 2022
    Article
  10. Article
  11. Review
  12. Article
  13. Non-Coding RNA Signatures of B-Cell Acute Lymphoblastic Leukemia.International journal of molecular sciences · 2021
    Review
  14. Article
  15. Article
  16. Review
  17. Article
  18. Article
  19. Review
  20. Review
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.

Hai-Liang YuanDepartment of Gastroenterology, the First Affiliated Hospital of Nanchang University, Jiangxi Institute of Gastroenterology & Hepatology, Nanchang, People's Republic of China, khzhang@ncu.edu.cn.
Ting WangDepartment of Gastroenterology, the First Affiliated Hospital of Nanchang University, Jiangxi Institute of Gastroenterology & Hepatology, Nanchang, People's Republic of China, khzhang@ncu.edu.cn.
Kun-He ZhangDepartment of Gastroenterology, the First Affiliated Hospital of Nanchang University, Jiangxi Institute of Gastroenterology & Hepatology, Nanchang, People's Republic of China, khzhang@ncu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Despite the widespread use of endoscopy and conventional tumor biomarkers, gastric cancer (GC) remains one of the most frequent causes of cancer-related deaths worldwide due to its late diagnosis and poor response to treatment. Valuable and practical biomarkers are urgently needed to screen patients with a high risk of GC that can complement endoscopic diagnosis. Such biomarkers will enable the efficient prediction of therapeutic response and prognosis of GC patients and favor the establishment of an effective treatment strategy for each and every patient. MicroRNAs (miRNAs) are a class of small non-coding RNA sequences that play important roles in modulating key biological processes by regulating the expression of target genes. Expectedly, miRNAs are abnormally expressed within the tumor tissue and in associated biological fluids of GC patients including their blood, gastric juice, and urine. Accumulating evidence indicates that miRNAs are potential biomarkers with multiple diagnostic functions for GC. Here, we review recent advances and challenges in using miRNAs, particularly biofluid miRNAs, as GC biomarkers with potential clinical applications including diagnosing, clinically staging, and predicting malignant behaviors, therapy response, recurrence after surgery and survival time.

Indexed as

biomarkerdiagnosisgastric cancermicroRNAprognosis

Identifiers

PMID30013369
PMCPMC6039071

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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.