Evidence map›Paper›PMID 40788559›Full record

ArticleDiscover oncology2025

Knowledge mapping of ferroptosis in sarcoma: a bibliometric and bioinformatics analysis (2012-2023).

Zhen Cao, Chanjuan Qu, Fan Yang, Ning Yao, Wei Zhang, Xiaoguang Cheng, Dong Yan

Abstract read
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

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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

7 authors.

Zhen CaoDepartment of Radiology, Beijing Jishuitan Hospital, Capital Medical University, Beijing, People's Republic of China.
Chanjuan QuDepartment of Radiology, Beijing Jishuitan Hospital, Capital Medical University, Beijing, People's Republic of China.
Fan YangDepartment of Radiology, Beijing Jishuitan Hospital, Capital Medical University, Beijing, People's Republic of China.
Ning YaoDepartment of Radiology, Beijing Jishuitan Hospital, Capital Medical University, Beijing, People's Republic of China.
Wei ZhangDepartment of Radiology, Beijing Jishuitan Hospital, Capital Medical University, Beijing, People's Republic of China.
Xiaoguang ChengDepartment of Radiology, Beijing Jishuitan Hospital, Capital Medical University, Beijing, People's Republic of China. xiao65@263.net.
Dong YanDepartment of Radiology, Beijing Jishuitan Hospital, Capital Medical University, Beijing, People's Republic of China. bmuyandong@126.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSarcoma is a rare and heterogeneous group of malignant tumors originating from mesenchymal tissues, which presents significant challenges for diagnosis and treatment. Ferroptosis, a newly recognized form of iron-dependent cell death, is distinct from other cell death mechanisms such as apoptosis and autophagy. Recent studies have shown that the induction of ferroptosis is an effective way to kill sarcoma cells and reduce their resistance to chemotherapeutic drugs, highlighting the importance of understanding how ferroptosis may influence the biology and treatment of sarcomas.

methodsIn this study, we employed three main methods, namely CiteSpace, VOSviewer, and the R package "bibliometrix", to analyze relevant literature. Publications related to ferroptosis and sarcoma in the Science Citation Index Expanded of the Web of Science Core Collection (WoSCC) database (2012-2023) were included, and bioinformatics analyses were performed using R Studio and public databases.

resultsThe analysis revealed that research on sarcomas and ferroptosis has experienced a steady increase over the years, with a diverse range of research topics and collaborations established among researchers worldwide. The key findings include the identification of influential authors and institutions, prominent research clusters, and emerging research trends. The bioinformatics analysis results confirmed the significance of ferroptosis-related gene ACSF2 in different sarcomas. Notably, the scarcity of studies focusing on the relationship between sarcoma and ferroptosis has been observed, highlighting the potential for further exploration in this area.

conclusionThe integration of bibliometrics and bioinformatics provides valuable insights into the research landscape of sarcoma and ferroptosis. Future research on ferroptosis will continue to focus on its mechanisms in sarcomas including immune microenvironment, while also further exploring its potential clinical applications. We have identified a potential ferroptosis-related gene, ACSF2, which shows associations with survival in sarcoma datasets. Further testing is needed to validate its potential as a prognostic biomarker.

Indexed as

BibliometricsBioinformaticsFerroptosisSarcomaTumors

Identifiers

PMID40788559
PMCPMC12339855

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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.