Evidence map›Paper›PMID 41379383›Full record

ReviewDiscover oncology2025

Decoding osteosarcoma from heterogeneity to precision therapy.

Yu Xu, Yanfu Bai, Fan Yang, Binbin Yang, Zhisheng Huang, Lingling Su, Kuntao Peng

Abstract readReview
In one paragraph

Review in Discover oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Review
  9. Review
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

7 authors.

Yu XuDepartment of Musculoskeletal Oncology, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, Guangdong, China.
Yanfu BaiDepartment of Rehabilitation Medicine, Guangzhou Hospital of Integrated Traditional and Western Medicine, Yingbin Avenue, Huadu District, Guangzhou, 510800, Guangdong, China.
Fan YangDepartment of Rehabilitation Medicine, Guangzhou Hospital of Integrated Traditional and Western Medicine, Yingbin Avenue, Huadu District, Guangzhou, 510800, Guangdong, China.
Binbin YangDepartment of Rehabilitation Medicine, Guangzhou Hospital of Integrated Traditional and Western Medicine, Yingbin Avenue, Huadu District, Guangzhou, 510800, Guangdong, China.
Zhisheng HuangDepartment of Rehabilitation Medicine, Guangzhou Hospital of Integrated Traditional and Western Medicine, Yingbin Avenue, Huadu District, Guangzhou, 510800, Guangdong, China.
Lingling SuDepartment of Rehabilitation Medicine, Guangzhou Hospital of Integrated Traditional and Western Medicine, Yingbin Avenue, Huadu District, Guangzhou, 510800, Guangdong, China. su653903983@163.com.
Kuntao PengDepartment of Cardiothoracic Surgery, Dongguan Tungwah Hospital, Dongguan, China. pkt15625575134@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Osteosarcoma (OS), the most common malignant bone tumor in adolescents, exhibits marked genetic and cellular heterogeneity, contributing to its resistance to conventional therapies. Although surgical and chemotherapeutic interventions have advanced, survival rates remain stagnant, especially for patients with metastatic or treatment-refractory disease. Recent multi-omic studies have uncovered distinct molecular subtypes characterized by unique genomic, epigenomic, transcriptomic, and tumor microenvironmental signatures. The integration of bulk and single-cell transcriptomics, spatial profiling, epigenetic mapping, and proteomic analyses has provided unprecedented insights into the pathogenesis of OS and has facilitated the identification of novel biomarkers. This review comprehensively summarizes the current advances in the molecular subtyping of OS, highlighting subtype-specific oncogenic drivers, their implications in tumor progression and therapeutic resistance, and the potential for precision medicine strategies tailored to these molecular profiles.

Indexed as

HeterogeneityMulti-omicsOsteosarcomaPrecision therapy

Identifiers

PMID41379383
PMCPMC12858688

What Socratic 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 Socratic graph.