Evidence map›Paper›PMID 39556142›Full record

ArticleDiscover oncology2024

Integrated single-cell analysis reveals heterogeneity and therapeutic insights in osteosarcoma.

Dongan He, Xiaoqian Che, Haiming Zhang, Jiandong Guo, Lei Cai, Jian Li, Jinxi Zhang, Xin Jin, Jianfeng Wang

Abstract read
In one paragraph

Article in Discover oncology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
–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

6 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. Review
  6. 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

9 authors.

Dongan He *Department of Orthopaedics, Hangzhou Ninth People's Hospital, Hangzhou, China.
Xiaoqian Che *Department of Orthopaedics, Hangzhou Ninth People's Hospital, Hangzhou, China.
Haiming Zhang *Department of Orthopaedics, Hangzhou Ninth People's Hospital, Hangzhou, China.
Jiandong Guo *Department of Orthopaedics, Hangzhou Ninth People's Hospital, Hangzhou, China.
Lei CaiDepartment of Orthopaedics, Hangzhou Ninth People's Hospital, Hangzhou, China.
Jian LiDepartment of Orthopaedics, Hangzhou Ninth People's Hospital, Hangzhou, China.
Jinxi ZhangDepartment of Orthopaedics, Hangzhou Ninth People's Hospital, Hangzhou, China. ice1998@sina.com.
Xin JinDepartment of Orthopaedics, Hangzhou Ninth People's Hospital, Hangzhou, China. 541385033@163.com.
Jianfeng WangDepartment of Orthopaedics, Hangzhou Ninth People's Hospital, Hangzhou, China. lwzyyx123456789@163.com.

Funding

Zhejiang Medical and Health Science and Technology Project 2022504276Zhejiang Province Traditional Chinese Medicine Science and Technology Plan Project 2023ZL128
6 · The paper itself

Abstract

Osteosarcoma (OSA) is a primary bone malignancy characterized by its aggressive nature and high propensity for metastasis. Despite advancements in multimodal therapies, the clinical outcomes for OSA patients remain suboptimal, necessitating deeper molecular insights for improved therapeutic strategies. Here, we employed single-cell RNA sequencing (scRNA-seq) to elucidate the cellular heterogeneity and transcriptional dynamics of OSA tumors. Our study identified eleven distinct tumor cell subpopulations, including osteoblastic, chondroblastic, and myeloid lineages, each exhibiting unique transcriptional profiles associated with disease progression and metastasis. Epithelial-mesenchymal transition (EMT) emerged as a critical process driving aggressive phenotypes, supported by gene set enrichment analyses (GSVA) and transcription factor regulatory network analyses. Integration of copy number variation (CNV) data highlighted genomic alterations in osteoblastic and chondroblastic cells, implicating potential therapeutic targets. Furthermore, immune cell infiltration analyses revealed distinct immune profiles across OSA subtypes, correlating with tumor mutational burden (TMB) and clinical outcomes. Our findings underscore the complexity of OSA biology and provide a foundation for developing personalized treatment strategies targeting tumor heterogeneity and immune interactions.

Indexed as

Epithelial–mesenchymal transitionHeterogeneityOsteosarcomaPersonalized medicineSingle-cell analysis

Identifiers

PMID39556142
PMCPMC11573940

What OpenQuestion holds

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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.