Evidence map›Paper›PMID 36311692›Full record

ArticleOncology letters2022

Systematic analysis of expression profiles and prognostic significance of the FGF gene family in pancreatic adenocarcinoma.

Yu-Xin Chen, Xiao-Juan Liu, Ling Yang, Jia-Jing He, Yong-Mei Jiang, Jia Mai

Abstract read
In one paragraph

Article in Oncology letters, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

2 citing papers in PubMed.

  1. Article
  2. 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

6 authors.

Yu-Xin ChenDepartment of Laboratory Medicine, West China Second University Hospital, Sichuan University, Chengdu, Sichuan 610041, P.R. China.
Xiao-Juan LiuDepartment of Laboratory Medicine, West China Second University Hospital, Sichuan University, Chengdu, Sichuan 610041, P.R. China.
Ling YangDepartment of Laboratory Medicine, West China Second University Hospital, Sichuan University, Chengdu, Sichuan 610041, P.R. China.
Jia-Jing HeDepartment of Laboratory Medicine, West China Second University Hospital, Sichuan University, Chengdu, Sichuan 610041, P.R. China.
Yong-Mei JiangDepartment of Laboratory Medicine, West China Second University Hospital, Sichuan University, Chengdu, Sichuan 610041, P.R. China.
Jia MaiDepartment of Laboratory Medicine, West China Second University Hospital, Sichuan University, Chengdu, Sichuan 610041, P.R. China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pancreatic adenocarcinoma (PAAD) is a malignant tumor with one of the highest associated mortality rates worldwide, and a 5-year survival rate of <5%. Fibroblast growth factors (FGFs) serve important roles in numerous cellular functions, and dysregulation of FGFs contributes to various cancer types. However, there are few reports on the function of FGFs in PAAD. The Assistant for Clinical Bioinformatics database, Gene Expression Profiling Interactive Analysis, Kaplan-Meier plotter and Tumor Immune Estimation Resource were utilized to perform the protein-protein interaction network, functional enrichment, univariate Cox regression, least absolute shrinkage and selection operator (LASSO) Cox, differential expression, prognostic value and immune cell infiltration analyses of FGFs in patients with PAAD. Immunohistochemistry (IHC) was used to verify the predictive value of the model. A total of 22 FGF genes were identified. Based on the results of LASSO Cox regression analysis, a total of six genes, including FGF2, FGF8, FGF9, FGF13, FGF17 and FGF22, were selected for the establishment of the prognostic gene signature. High transcriptional levels of FGF17 and FGF22 were significantly associated with long overall survival. The expression of FGFs was associated with the infiltration of various immune cells. According to univariate and multivariate analyses, FGF2 and FGF8 may be useful independent prognostic biomarkers for the prognosis of patients with PAAD. IHC demonstrated that FGF2 and FGF8 were more highly expressed in PAAD tissues compared with that in normal tissues. The present findings offer a novel understanding for the selection of FGF prognostic biomarkers in PAAD.

Indexed as

biomarkersfibroblast growth factor 2fibroblast growth factor 8fibroblast growth factorspancreatic adenocarcinomaprognosis

Identifiers

PMID36311692
PMCPMC9607860

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.