Evidence map›Paper›PMID 36110576›Full record

ArticleComputational and mathematical methods in medicine2022

Expression and the Prognostic Value of Biglycan in Gastric Cancer.

Sizhe Hu, Peipei Li, Chenying Wang, Xiyong Liu

Open access · hybridAbstract read
In one paragraph

Article in Computational and mathematical methods in medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
0.3field-weighted citation impact, top 44% 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

2 citing papers in PubMed, 1 synthesis or guideline pooled it, 5 citations in OpenAlex.

  1. Pooled it
  2. Expression and the Prognostic Value of Biglycan in Gastric Cancer.Computational and mathematical methods in medicine · 2022
    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.

Sizhe HuDepartment of Gastrointestinal Surgery, Affiliated Dongyang People's Hospital of Wenzhou Medical University, Dongyang, Zhejiang 322100, China.ORCID https://orcid.org/0000-0003-1700-1571
Peipei LiSchool of Medicine, Zhejiang University City College, Hangzhou, Zhejiang 310015, China.ORCID https://orcid.org/0000-0001-7715-9886
Chenying WangSchool of Medicine, Zhejiang University City College, Hangzhou, Zhejiang 310015, China.ORCID https://orcid.org/0000-0002-9008-3043
Xiyong LiuSino-American Cancer Foundation, Covina, CA 91722, USA.ORCID https://orcid.org/0000-0002-3026-9612
Zhejiang University · CNWenzhou Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Biglycan (BGN) is a family member of small leucine-rich repeat proteoglycans. High expression of BGN might enhance the invasion and metastasis in some types of tumors. Here, the prognostic significance of BGN was evaluated in gastric cancer. Results: For gastric cancer, the mRNA expression level of BGN in tumor tissue was significantly higher than that in normal tissue. Kaplan-Meier analysis showed that higher expression of BGN mRNA was significantly associated with more reduced recurrence-free survival (RFS). GSEA results suggested that BGN was significantly enriched in gene signatures related to metastasis and poor prognosis, revealing that BGN might be associated with cell proliferation, poor differentiation, and high invasiveness of gastric cancer. Meanwhile, the putative TFs, including AR, E2F1, and TCF4, were predicted by bioinformatic analysis and also significantly correlated with expression of BGN in mRNA levels. Conclusion: High expression of BGN mRNA was significantly related to poor prognosis, which suggested that BGN was a potential prognostic biomarker and therapeutic target of gastric cancer.

Indexed as

Stomach NeoplasmsBiglycanBiomarkersHumansPrognosisRNA, MessengerTranscription FactorsBiglycanBiomarkersRNA, MessengerTranscription Factors

Identifiers

PMID36110576
PMCPMC9470332
OpenAlexW4294949103

What OpenQuestion holds

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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.