Evidence map›Paper›PMID 30747226›Full record

ArticleOncology reports2019

A 6‑gene risk score system constructed for predicting the clinical prognosis of pancreatic adenocarcinoma patients.

Yan Liu, Dongyan Zhu, Hongjian Xing, Yi Hou, Yan Sun

Open access · hybridAbstract read
In one paragraph

Article in Oncology reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
1.8field-weighted citation impact, top 13% 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

16 citing papers in PubMed, 24 citations in OpenAlex.

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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

5 authors at 2 institutions in 1 country.

Yan LiuDepartment of Anesthesiology, China Japan Union Hospital, Jilin University, Changchun, Jilin 130033, P.R. China.
Dongyan ZhuDepartment of Vascular Surgery, China Japan Union Hospital, Jilin University, Changchun, Jilin 130033, P.R. China.
Hongjian XingDepartment of Orthopedics, China Japan Union Hospital, Jilin University, Changchun, Jilin 130033, P.R. China.
Yi HouDepartment of Urology, China Japan Union Hospital, Jilin University, Changchun, Jilin 130033, P.R. China.
Yan SunDepartment of Anesthesiology, China Japan Union Hospital, Jilin University, Changchun, Jilin 130033, P.R. China.
Jilin University · CNUnion Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pancreatic adenocarcinoma (PAC) is the most common type of pancreatic cancer, which commonly has an unfavorable prognosis. The present study aimed to develop a novel prognostic prediction strategy for PAC patients. mRNA sequencing data of PAC (the training dataset) were extracted from The Cancer Genome Atlas database, and the validation datasets (GSE62452 and GSE79668) were acquired from the Gene Expression Omnibus database. The differentially expressed genes (DEGs) between good and poor prognosis groups were analyzed by limma package, and then prognosis‑associated genes were screened using Cox regression analysis. Subsequently, the risk score system was constructed and confirmed using Kaplan‑Meier (KM) survival analysis. After the survival associated‑clinical factors were screened using Cox regression analysis, they were performed with stratified analysis. Using DAVID tool, the DEGs correlated with risk scores were conducted with enrichment analysis. The results revealed that there were a total of 242 DEGs between the poor and good prognosis groups. Afterwards, a risk score system was constructed based on 6 prognosis‑associated genes (CXCL11, FSTL4, SEZ6L, SPRR1B, SSTR2 and TINAG), which was confirmed in both the training and validation datasets. Cox regression analysis showed that risk score, targeted molecular therapy, and new tumor (the new tumor event days after the initial treatment according to the TCGA database) were significantly related to clinical prognosis. Under the same clinical condition, 6 clinical factors (age, history of chronic pancreatitis, alcohol consumption, radiation therapy, targeted molecular therapy and new tumor (event days) had significant associations with clinical prognosis. Under the same risk condition, only targeted molecular therapy was significantly correlated with clinical prognosis. In conclusion, the 6‑gene risk score system may be a promising strategy for predicting the outcome of PAC patients.

Indexed as

AdenocarcinomaBiomarkers, TumorDatabases, GeneticFemaleGene Expression ProfilingGene Expression Regulation, NeoplasticGene Regulatory NetworksHumansKaplan-Meier EstimateMaleMiddle AgedPancreatic NeoplasmsPrognosisRisk FactorsBiomarkers, Tumor

Identifiers

PMID30747226
PMCPMC6365694
OpenAlexW2912620279

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LicenceCC BY-NC-ND
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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.