Evidence map›Paper›PMID 30198863›Full record

ArticleCancer biomarkers : section A of Disease markers2018

Five serum-based miRNAs were identified as potential diagnostic biomarkers in gastric cardia adenocarcinoma.

Juan Wang, Huo Zhang, Xin Zhou, Tongshan Wang, JinYing Zhang, Wei Zhu, Hong Zhu, Wenfang Cheng

Abstract read
In one paragraph

Article in Cancer biomarkers : section A of Disease markers, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 1 pooled it
1.9field-weighted citation impact, top 15% of its field
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

21 citing papers in PubMed, 1 synthesis or guideline pooled it, 36 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Review
  18. Review
  19. Review
  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

8 authors at 2 institutions in 1 country.

Juan WangDepartment of Gastroenterology, First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, Jiangsu, China.
Huo ZhangDepartment of Oncology, First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, Jiangsu, China.
Xin ZhouDepartment of Oncology, First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, Jiangsu, China.
Tongshan WangDepartment of Oncology, First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, Jiangsu, China.
JinYing ZhangDepartment of Oncology, First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, Jiangsu, China.
Wei ZhuDepartment of Oncology, First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, Jiangsu, China.
Hong ZhuDepartment of Gastroenterology, First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, Jiangsu, China.
Wenfang ChengDepartment of Gastroenterology, First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, Jiangsu, China.
Nanjing Medical University · CNJiangsu Province Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCirculating microRNAs (miRNAs) have been implicated as novel biomarkers for various types of cancers. The aim of the study is to identify serum miRNAs with potential in detecting gastric cardia adenocarcinoma (GCA).

methodsA three-phase study was designed with 102 GCA patients and 84 cancer-free controls. In the screening phase (3 GCA pools vs. 1 normal control (NC) pool), a total of 35 miRNAs were identified using quantitative reverse transcription polymerase chain reaction (qRT-PCR) based Exiqon panel. Subsequently, these miRNAs were further assessed by qRT-PCR in the training phase (30 GCAs vs. 30 NCs) and testing phase (72 GCAs vs. 54 NCs). Finally, the expression levels of the identified miRNAs were assessed in GCA tissues and exosomes.

resultsFive up-regulated miRNAs (miR-200a-3p, miR-296-5p, miR-132-3p, miR-485-3p and miR-22-5p) were identified in serum of the GCA patients compared with NCs. The areas under the receiver operating characteristic curve (AUCs) of the five-miRNA panel were 0.766 and 0.724 for the training and testing phases, respectively. In addition, miR-200a-3p, miR-296-5p, miR-485-3p and miR-22-5p were significantly up-regulated in GCA tissues. However, none of the miRNAs in the exosomes showed different expression between GCA patients and NCs.

conclusionsWe identified a five-miRNA panel in peripheral serum samples as a non-invasive biomarker in detection of GCA.

Indexed as

Biomarkers, TumorCirculating MicroRNAAdenocarcinomaAgedAged, 80 and overCardiaCase-Control StudiesComputational BiologyFemaleGene Expression ProfilingHumansLiquid BiopsyMaleMicroRNAsMiddle AgedNeoplasm StagingBiomarkers, TumorCirculating MicroRNAMicroRNAsdiagnostic biomarkergastric cardia adenocarcinomamicroRNASerum

Identifiers

PMID30198863
PMCPMC13078533
OpenAlexW2891094671

What OpenQuestion holds

Textmetadata
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.