Evidence map›Paper›PMID 29700972›Full record

ArticleJournal of cellular and molecular medicine2018

A panel consisting of three novel circulating lncRNAs, is it a predictive tool for gastric cancer?

Jingjing Liu, Jiajun Wang, Yongxi Song, Bin Ma, Junlong Luo, Zhongran Ni, Peng Gao, Jingxu Sun, Junhua Zhao, Xiaowan Chen and 1 more

Open access · goldAbstract read
In one paragraph

Article in Journal of cellular and molecular medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 2 pooled it
1.7field-weighted citation impact, top 18% 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

19 citing papers in PubMed, 2 syntheses or guidelines pooled it, 27 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Review
  5. Article
  6. Article
  7. Novel biomarkers for early detection of gastric cancer.World journal of gastroenterology · 2023
    Review
  8. Gastric cancer: An epigenetic view.World journal of gastrointestinal oncology · 2022
    Review
  9. Review
  10. Review
  11. Review
  12. Article
  13. Article
  14. Review
  15. Genome-wide long non-coding RNAs identified a panel of novel plasma biomarkers for gastric cancer diagnosis.Gastric cancer : official journal of the International Gastric Cancer Association and the Japanese Gastric Cancer Association · 2019
    Article
  16. Article
  17. Article
  18. Article
  19. 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

11 authors at 1 institution in 1 country.

Jingjing LiuDepartment of Surgical Oncology and General Surgery, First Hospital of China Medical University, Shenyang, China.
Jiajun WangDepartment of Surgical Oncology and General Surgery, First Hospital of China Medical University, Shenyang, China.
Yongxi SongDepartment of Surgical Oncology and General Surgery, First Hospital of China Medical University, Shenyang, China.
Bin MaDepartment of Surgical Oncology and General Surgery, First Hospital of China Medical University, Shenyang, China.
Junlong LuoDepartment of Surgical Oncology and General Surgery, First Hospital of China Medical University, Shenyang, China.
Zhongran NiDepartment of Surgical Oncology and General Surgery, First Hospital of China Medical University, Shenyang, China.
Peng GaoDepartment of Surgical Oncology and General Surgery, First Hospital of China Medical University, Shenyang, China.
Jingxu SunDepartment of Surgical Oncology and General Surgery, First Hospital of China Medical University, Shenyang, China.
Junhua ZhaoDepartment of Surgical Oncology and General Surgery, First Hospital of China Medical University, Shenyang, China.
Xiaowan ChenDepartment of Surgical Oncology and General Surgery, First Hospital of China Medical University, Shenyang, China.
Zhenning WangDepartment of Surgical Oncology and General Surgery, First Hospital of China Medical University, Shenyang, China.ORCID 0000-0003-0557-3097
First Hospital of China Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Early detection is vital for prolonging 5-year survival for patients with gastric cancer (GC). Numerous studies indicate that circulating long non-coding RNAs (lncRNAs) can be used to diagnose malignant tumours. This study aimed to investigate the capacity of novel lncRNAs for diagnosing GC. A lncRNA microarray assay was used to screen differentially expressed lncRNAs between plasma of patients with GC and healthy controls. Plasma samples from 100 patients with healthy controls were used to construct a multiple-gene panel. An additional 50 pairs of GC patients with healthy controls were used to evaluate the diagnostic accuracy of the panel. Expression levels of lncRNAs were quantified through real-time polymerase chain reaction. The receiver operating characteristic curve and area under curve (AUC) were used to estimate the diagnostic capacity. We identified three lncRNAs, CTC-501O10.1, AC100830.4 and RP11-210K20.5 that were up-regulated in the plasma of GC patients with AUCs 0.724, 0.730 and 0.737, respectively (P < .01). Based on the logistic regression model, the combined AUC of the three lncRNAs was 0.764. The AUC of the panel was 0.700 in the validation cohort. These findings indicate that plasma lncRNAs can serve as potential biomarkers for detection of GC.

Indexed as

AdultAgedAged, 80 and overArea Under CurveBiomarkers, TumorCase-Control StudiesCell-Free Nucleic AcidsCell Line, TumorFemaleHumansLogistic ModelsMaleMiddle AgedOligonucleotide Array Sequence AnalysisReproducibility of ResultsRNA, Long NoncodingBiomarkers, TumorCell-Free Nucleic AcidsRNA, Long Noncodingbiomarkercirculating lncRNAgastric cancermicroarrayplasma

Identifiers

PMID29700972
PMCPMC6010868
OpenAlexW2802940238

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.