Evidence map›Paper›PMID 41491534›Full record

ArticleEuropean journal of medical research2026

CORT silencing impairs migration and invasion: validation of a glycosylation-based risk model (CORT/LPAR5/CEBPA/MYH10/MAGEA11) in osteosarcoma.

Xiangming Li, Zihan Yang, Xinyu Gu, Yanhua Song, Jiachun Sun, Fuqiang Ma

Abstract readValidation Study
In one paragraph

Article in European journal of medical research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Xiangming LiDepartment of Orthopedics, The First Affiliated Hospital, College of Clinical Medicine of Henan University of Science and Technology, Luoyang, 471003, China.
Zihan YangHenan Key Laboratory of Cancer Epigenetics, Cancer Institute, The First Affiliated Hospital, College of Clinical Medicine of Henan University of Science and Technology, Luoyang, 471003, China.
Xinyu GuHenan Key Laboratory of Cancer Epigenetics, Cancer Institute, The First Affiliated Hospital, College of Clinical Medicine of Henan University of Science and Technology, Luoyang, 471003, China.
Yanhua SongDepartment of Clinical Laboratory, Zhengzhou Orthopaedics Hospital, Zhengzhou, 450000, China.
Jiachun SunHenan Key Laboratory of Cancer Epigenetics, Cancer Institute, The First Affiliated Hospital, College of Clinical Medicine of Henan University of Science and Technology, Luoyang, 471003, China. Sunjiachun1980@haust.edu.cn.
Fuqiang MaDepartment of Integrated Traditional and Western Medicine, The First Affiliated Hospital, College of Clinical Medicine of Henan University of Science and Technology, Luoyang, 471003, China. Godlovehorse@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundOsteosarcoma (OS) is a bone malignancy among adolescents with a poor prognosis. We aimed to explore the glycosylation-related features in OS.

methodsA sum of 185 glycosylation-related genes (GRGs) and the RNA-seq data were obtained from the TARGET database. ConsensusClusterPlus package was applied for the various subtypes based on the significant prognostic factors. Subsequently, the limma R package performed the Lasso analysis for a RiskScore model. The survminer package conducted Kaplan-Meier (KM) analysis, and the timeROC package was used for the classifier efficiency. In addition, the ssGSEA method and MCPcounter performed the immune infiltration analysis. Finally, the expression of the selected key genes, as well as their migration and invasion capabilities, were evaluated through PCR, wound healing, and transwell assays, respectively.

resultsHigh GRG score was associated with poor prognosis. Unsupervised clustering based on prognostic GRGs identified two subtypes (C1/C2), with C1 showing worse outcomes. A prognostic RiskScore model comprising CORT, LPAR5, CEBPA, MYH10, and MAGEA11 was constructed from subtype-specific differentially expressed genes. The model effectively stratified patients into high- and low-risk groups in both training and validation cohorts, with high-risk patients exhibiting significantly shorter survival. RiskScore is an independent prognostic factor, with lower infiltration levels of cells such as macrophages and NK cells observed in patients within the high-risk group. In external immunotherapy cohorts, high-risk patients had poorer survival and treatment response. Functionally, silencing the key model gene CORT impaired osteosarcoma cell migration and invasion in vitro.

conclusionsWe developed a useful risk model and this study provided new insights for OS therapy.

Indexed as

Bone NeoplasmsNeoplasm ProteinsOsteosarcomaAdolescentAntigens, NeoplasmBiomarkers, TumorCell MovementFemaleGene Expression Regulation, NeoplasticGene SilencingGlycosylationHumansMaleNeoplasm InvasivenessPrognosisAntigens, NeoplasmBiomarkers, TumorNeoplasm ProteinsConsensusClusterPlusGlycosylation-related featureOsteosarcoma (OS)Prognostic modelRiskScore

Identifiers

PMID41491534
PMCPMC12870023

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.