Evidence map›Paper›PMID 36211822›Full record

ArticleOxidative medicine and cellular longevity2022

Verification of Ferroptosis Subcluster-Associated Genes Related to Osteosarcoma and Exploration of Immune Targeted Therapy.

Mingyang Jiang, Yiji Jike, Fu Gan, Jia Li, Yang Hu, Mingjing Xie, Kaicheng Liu, Wentao Qin, Zhandong Bo

RetractedOpen access · hybridAbstract readRetracted Publication
In one paragraph

Article in Oxidative medicine and cellular longevity, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It has been retracted, and should not be counted. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.7field-weighted citation impact, top 33% of its field
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, 8 citations in OpenAlex.

  1. Review
  2. Article
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  5. Review
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors at 2 institutions in 1 country.

Mingyang JiangDepartment of Bone and Joint Surgery, The First Affiliated Hospital of Guangxi Medical University, Nanning, China.
Yiji JikeDepartment of Bone and Joint Surgery, The First Affiliated Hospital of Guangxi Medical University, Nanning, China.
Fu GanDepartment of Urology Surgery, The Affiliated Hospital of Youjiang Medical University for Nationalities, Baise, China.ORCID https://orcid.org/0000-0001-6165-7952
Jia LiDepartment of Pathology, The First Affiliated Hospital of Guangxi Medical University, Nanning, China.ORCID https://orcid.org/0000-0001-7397-1367
Yang HuDepartment of Bone and Joint Surgery, The First Affiliated Hospital of Guangxi Medical University, Nanning, China.
Mingjing XieDepartment of Bone and Joint Surgery, The First Affiliated Hospital of Guangxi Medical University, Nanning, China.
Kaicheng LiuDepartment of Bone and Joint Surgery, The First Affiliated Hospital of Guangxi Medical University, Nanning, China.
Wentao QinDepartment of Bone and Joint Surgery, The First Affiliated Hospital of Guangxi Medical University, Nanning, China.ORCID https://orcid.org/0000-0003-2210-8701
Zhandong BoDepartment of Bone and Joint Surgery, The First Affiliated Hospital of Guangxi Medical University, Nanning, China.ORCID https://orcid.org/0000-0001-6827-4508
Guangxi Medical University · CNAffiliated Hospital of Youjiang Medical University for Nationalities · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Despite tremendous advances in treating osteosarcoma (OS), the survival rates of patients have failed to improve dramatically over the past decades. Ferroptosis, a newly discovered iron-dependent type of regulated cell death, is implicated in tumors, and its features in OS remain unascertained. We designed to determine the involvement of ferroptosis subcluster-related modular genes in OS progression and prognosis. Methods: The OS-related datasets retrieved from GEO and TARGET database were clustered for identifying molecular subclusters with different ferroptosis-related genes (FRGs) expression patterns. Weighted gene coexpression network analysis (WGCNA) was applied to identify modular genes from FRG subclusters. The least absolute shrinkage and selection operator (LASSO) algorithm and multivariable Cox regression analysis were adopted to develop the prognostic model. Potential mechanisms of development and prognosis in OS were explored by gene ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG), and gene set enrichment analysis (GSEA). Then, a comprehensive analysis was conducted for immune checkpoint markers and assessment of predictive power to drug response. The protein expression levels of the three ferroptosis subcluster-related modular genes were verified by immunohistochemistry. Results: Two independent subclusters presenting diverse expression profiles of FRGs were obtained, with significantly different survival states. Ferroptosis subcluster-related modular genes were screened with WGCNA, and the GESA results showed that ferroptosis subcluster-related modular genes could affect the cellular energy metabolism, thus influencing the development and prognosis of osteosarcoma. A prognostic model was established by incorporating three ferroptosis subcluster-related modular genes ( Conclusion: Ferroptosis are closely associated with the OS prognosis. The risk-scoring model incorporating three ferroptosis subcluster-related modular genes has shown outstanding advantages in predicting patient prognosis.

Indexed as

Bone NeoplasmsFerroptosisOsteosarcomaAxitinibCytarabineHumansIronAxitinibCytarabineIron

Identifiers

PMID36211822
PMCPMC9534693
OpenAlexW4297520995

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.