Evidence map›Paper›PMID 40192894›Full record

ArticleDiscover oncology2025

Multi-omics analysis of copper metabolism-related molecular subtypes and risk stratification for osteosarcoma.

Yang Zhang, Wen Liu, Dayong Liu, Xiaopeng Li, Qingshan Zhuang, Quan Sun, Xiaolin Wu, Feng Li

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Discover oncology, 2025. 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

8 authors.

Yang ZhangDepartment of Minimally Invasive Spine Surgery, Weifang People's Hospital, Weifang, China.
Wen LiuDepartment of Minimally Invasive Spine Surgery, Weifang People's Hospital, Weifang, China.
Dayong LiuDepartment of Minimally Invasive Spine Surgery, Weifang People's Hospital, Weifang, China.
Xiaopeng LiDepartment of Minimally Invasive Spine Surgery, Weifang People's Hospital, Weifang, China.
Qingshan ZhuangDepartment of Minimally Invasive Spine Surgery, Weifang People's Hospital, Weifang, China.
Quan SunDepartment of Minimally Invasive Spine Surgery, Weifang People's Hospital, Weifang, China.
Xiaolin WuDepartment of Orthopedic Surgery, The Affiliated Hospital of Qingdao University, Qingdao, Shandong, China. fyqs01@qdu.edu.cn.
Feng LiDepartment of Minimally Invasive Spine Surgery, Weifang People's Hospital, Weifang, China. rmyylifeng@wfmc.edu.cn.

Funding

Natural Science Foundation of Shandong Province ZR2022MH218Youth Research Fund of Affiliated Hospital of Qingdao University in 2021 QDFYQN202101012
6 · The paper itself

Abstract

backgroundAs the most common primary malignant bone tumor, further investigation into risk stratification for osteosarcoma (OS) prognosis is of significant clinical importance. Copper is essential for bone metabolism; however, its specific role in OS remains unclear.

methodsThe expression characteristics of copper metabolism related genes (CORGs) in OS were revealed by single cell sequencing. Prognosis-associated CORGs were identified, and a CORG-related scoring system and risk model were established using bioinformatics approaches, including univariate and multivariate Cox regression analyses and LASSO analysis. We further analyzed immune microenvironment infiltration, molecular subtypes and clinicopathological characteristics. The impact of selected CORG with high-risk coefficient on OS cells was tested by qRT-PCR, western blot, siRNA, colony formation analysis and Transwell in vitro.

resultsWe successfully developed an OS scoring system related to copper metabolism and validated its independent prognostic value in patients with OS. The potential clinical value of CORG scoring system was analyzed. APOA4 was selected for in vitro experiments and its effect on the proliferation and invasion ability of OS cells was verified.

conclusionWe established a copper metabolism-related scoring system to effectively stratify the risk of OS patients. Our results provide a new basis for the role of copper metabolism in OS and provide new potential targets for the treatment of OS.

Indexed as

APOA4Copper metabolismImmune microenvironmentOsteosarcomaSingle-cell sequencing

Identifiers

PMID40192894
PMCPMC11977037

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.