Evidence map›Paper›PMID 29991127›Full record

ArticleCancer biomarkers : section A of Disease markers2018

An eight-miRNA signature expression-based risk scoring system for prediction of survival in pancreatic adenocarcinoma.

Daoqin Dou, Shaohua Yang, Yunzheng Lin, Jiren Zhang

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 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
0.9field-weighted citation impact, top 21% 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

11 citing papers in PubMed, 15 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. Article
  5. Transportome Malfunctions and the Hallmarks of Pancreatic Cancer.Reviews of physiology, biochemistry and pharmacology · 2021
    Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. 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

4 authors at 2 institutions in 1 country.

Daoqin DouRadiotherapy Department of Shenzhen Baoan People's Hospital, Shenzhen 518101, Guangdong, China.
Shaohua YangRadiotherapy Department of Shenzhen Baoan People's Hospital, Shenzhen 518101, Guangdong, China.
Yunzheng LinRadiotherapy Department of Shenzhen Baoan People's Hospital, Shenzhen 518101, Guangdong, China.
Jiren ZhangOncology Department of ZhuJiang Hospital, Southern Medical University, Guangzhou 510280, Guangdong, China.
Shenzhen Bao'an District People's Hospital · CNSouthern Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe purpose of this study was to establish a risk scoring system based on miRNAs to evaluate the prognosis in pancreatic adenocarcinoma.

methodsUsing a miRNA microarray dataset (179 pancreatic adenocarcinoma specimens and 4 normal control specimens) from TCGA, differentially expressed miRNAs were identified. Cox proportional hazards regression analysis was used to identify significant prognostic miRNAs, with which a risk scoring system was established and tested on a validation set. Cox regression analysis was performed to identify independent predictors of survival from clinical characteristics. Stratified Cox regression analyses were conducted to unravel the associations of clinical characteristics with survival. Differentially expressed genes (DEGs) were screened followed by functional annotation of the DEGs.

resultsEight miRNAs (miR-1301, miR-598, miR-1180, miR-155, miR-496, miR-203, miR-193b, miR-135b) were independent predictors for survival. A risk scoring system was established with the 8 signature miRNAs. Upon Cox multivariate regression analysis, risk score, new tumor and targeted molecular therapy were independent predictors of prognosis. Stratified Cox regression analyses found that targeted molecular therapy and new tumor are associated with survival of patients. Survival-related DEGs were significantly enriched with regulation of transforming growth factor beta receptor, potassium ion transport and MAPK signaling pathway.

conclusionsThe study proposes 8-miRNA expression-based risk scoring system to predict prognosis in pancreatic adenocarcinoma. New tumor and targeted molecular therapy were independent predictors of prognosis. Transforming growth factor beta receptor, potassium ion transport and MAPK signaling pathway may be related to prognosis in pancreatic adenocarcinoma.

Indexed as

AdenocarcinomaAdultAgedBiomarkers, TumorDisease-Free SurvivalFemaleGene Expression Regulation, NeoplasticHumansKaplan-Meier EstimateMaleMicroRNAsMiddle AgedPancreatic NeoplasmsPrognosisProportional Hazards ModelsRisk FactorsBiomarkers, TumorMicroRNAsmiRNApathwayprognosisrisk scorestratified analyses

Identifiers

PMID29991127
PMCPMC13078557
OpenAlexW2810143413

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.