Evidence map›Paper›PMID 34383385›Full record

ArticleCancer reports (Hoboken, N.J.)2022

Identification of PSMD14 as a potential novel prognosis biomarker and therapeutic target for osteosarcoma.

Yubao Gong, Zheng-Ren Wei

Open access · goldAbstract read
In one paragraph

Article in Cancer reports (Hoboken, N.J.), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.1field-weighted citation impact, top 24% 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

13 citing papers in PubMed, 14 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Prospects and challenges of tissue-derived extracellular vesicles.Molecular therapy : the journal of the American Society of Gene Therapy · 2024
    Review
  5. Article
  6. Article
  7. Article
  8. Aberrant Expressions ofCurrent genomics · 2023
    Article
  9. Article
  10. The prognostic role of PSMD14 in head and neck squamous cell carcinoma.Journal of cancer research and clinical oncology · 2023
    Article
  11. Review
  12. Article
  13. 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

2 authors at 2 institutions in 1 country.

Yubao GongDepartment of Orthopedics, Jilin University First Hospital, Jilin, China.ORCID 0000-0002-9637-9961
Zheng-Ren WeiDepartment of Pharmocology, Jilin University Bethune College of Medicine, Jilin, China.
First Bethune Hospital of Jilin University · CNJilin University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundOsteosarcoma is the most common primary bone tumor. The survival rate of osteosarcoma patients has not significantly increased in the past decades. Uncovering the mechanisms of malignancy, progression, and metastasis will shed light on the development of new therapeutic targets and treatment for osteosarcoma.

aimThe aim of this study is to identify potential osteosarcoma biomarker and/or therapeutic targets by using integrated bioinformatics analysis. METHODS AND

resultsWe utilized existing gene expression datasets to identify differential expressed genes (DEGs) that could serve as osteosarcoma biomarkers or even as therapeutic targets. We found 48 DEGs were overlapped in three datasets. Among these 48 DEGs, PSMD14 was on the top of the up-regulated gene list. We further found that higher PSMD14 expression was correlated with higher risk group (younger age group, ≤20.83 years of age), metastasis within 5 years and higher grade of tumor. Higher PSMD14 expression in osteosarcoma had positive correlation with higher infiltration of CD8+ T cells, neutrophils and myeloid dendritic cells. Kaplan-Myer survival data further revealed that higher expression of PSMD14 predicted significantly worse prognosis (p = .013). Gene set enrichment analysis was further performed for the DEGs related to PSMD14 in osteosarcoma. We found that lower PSMD14 expression group had more immune responses such as interferon γ, α responses, inflammation response etc. However, the higher PSMD14 expression group had more cell proliferation-related biological processes, such as G2M checkpoints and Myc targets. Through establishing protein-protein interaction networks using PSMD14 related DEGs, we identified 10 hub genes that were all ribosomal proteins. These hub genes may play roles in osteosarcoma tumorigenesis, progression and/or metastasis.

conclusionWe identified PSMD14 gene as a possible osteosarcoma biomarker, and/or a possible therapeutic target.

Indexed as

Bone NeoplasmsOsteosarcomaProteasome Endopeptidase ComplexTrans-ActivatorsGene Expression ProfilingGene Expression Regulation, NeoplasticGene Regulatory NetworksHumansPrognosisYoung AdultProteasome Endopeptidase ComplexPSMD14 protein, humanTrans-Activatorsbiomarkerdifferential expressed genesgene set enrichment analysismetastasisosteosarcomaprognosisPSMD14

Identifiers

PMID34383385
PMCPMC9327663
OpenAlexW3189441541

What Socratic holds

Textmetadata
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 Socratic graph.