Evidence map›Paper›PMID 30542694›Full record

ArticleOncology reports2018

Novel three‑lncRNA signature predicts survival in patients with pancreatic cancer.

Bin Wu, Kaixuan Wang, Janguo Fei, Yi Bao, Xiaoguang Wang, Zhengwei Song, Fei Chen, Jun Gao, Zhengxiang Zhong

Open access · hybridAbstract read
In one paragraph

Article in Oncology reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
1.6field-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

23 citing papers in PubMed, 36 citations in OpenAlex.

  1. Review
  2. Review
  3. LncRNA MAFG-AS1 is involved in human cancer progression.European journal of medical research · 2023
    Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  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

9 authors at 2 institutions in 1 country.

Bin WuDepartment of Hepatobiliary Surgery, The Second Hospital of Jiaxing, Jiaxing, Zhejiang 314000, P.R. China.
Kaixuan WangDepartment of Gastroenterology, Changhai Hospital, Second Military Medical University, Shanghai 200000, P.R. China.
Janguo FeiDepartment of Hepatobiliary Surgery, The Second Hospital of Jiaxing, Jiaxing, Zhejiang 314000, P.R. China.
Yi BaoDepartment of Central Laboratory, The Second Hospital of Jiaxing, Jiaxing, Zhejiang 314000, P.R. China.
Xiaoguang WangDepartment of Hepatobiliary Surgery, The Second Hospital of Jiaxing, Jiaxing, Zhejiang 314000, P.R. China.
Zhengwei SongDepartment of Hepatobiliary Surgery, The Second Hospital of Jiaxing, Jiaxing, Zhejiang 314000, P.R. China.
Fei ChenDepartment of Hepatobiliary Surgery, The Second Hospital of Jiaxing, Jiaxing, Zhejiang 314000, P.R. China.
Jun GaoDepartment of Gastroenterology, Changhai Hospital, Second Military Medical University, Shanghai 200000, P.R. China.
Zhengxiang ZhongDepartment of Hepatobiliary Surgery, The Second Hospital of Jiaxing, Jiaxing, Zhejiang 314000, P.R. China.
First Hospital of Jiaxing · CNSecond Military Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A growing body of evidence confirms that long non‑coding RNAs (lncRNAs) have an important role in biological processes by regulating gene expression at multiple levels. Dysregulated lncRNAs may be potential prognostic biomarkers or targets for the development of cancer treatments. However, the prognostic role of an lncRNA signature in pancreatic cancer has not been investigated. Pancreatic cancer lncRNA expression profiles from The Cancer Genome Atlas (TCGA) were analyzed in the current study. The prognostic value of differentially expressed lncRNAs (DElncRNAs) was evaluated via the Kaplan‑Meier method. A risk score model was established based on the potential prognostic lncRNAs. The biological functions of lncRNAs were predicted by functional enrichment analysis. Then, an lncRNA‑mRNA co‑expression network was established and predicted the function of the lncRNAs. Seven DElncRNAs that were significantly associated with the prognosis of pancreatic cancer were identified. Patients were classified into high‑risk and low‑risk groups using a risk score based on a three‑lncRNA signature. There was a significant difference in overall survival (OS) between the groups (median OS 1.33 vs. 3.65 years; log‑rank test, P=0.0000). Cox regression analysis and ROC curves demonstrated that the three‑lncRNA signature may be an effective independent prognostic biomarker in patients with pancreatic. The functional enrichment analysis showed that lncRNA AL137789.1, one component of the three‑lncRNA signature, may be associated with tumor immune responses. In the present study, a novel three‑lncRNA signature that was established that may be useful in predicting survival among patients with pancreatic cancer. These lncRNAs may be involved in tumor immunity and thus affect the prognosis of patients.

Indexed as

Biomarkers, TumorDatasets as TopicFemaleGene Expression ProfilingGene Expression Regulation, NeoplasticHumansKaplan-Meier EstimateMaleMiddle AgedPancreatic NeoplasmsPrognosisRNA, Long NoncodingROC CurveBiomarkers, TumorRNA, Long Noncoding

Identifiers

PMID30542694
PMCPMC6196600
OpenAlexW2895617048

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.