Evidence map›Paper›PMID 34784264›Full record

ArticleBosnian journal of basic medical sciences2022

A novel ferroptosis-related gene signature can predict prognosis and influence immune microenvironment in acute myeloid leukemia.

Xianbo Huang, De Zhou, Xiujin Ye, Jie Jin

Open access · goldAbstract read
In one paragraph

Article in Bosnian journal of basic medical sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
2.5field-weighted citation impact, top 10% 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

18 citing papers in PubMed, 21 citations in OpenAlex.

  1. Review
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  10. [Advances of ferroptosis pathways in acute myeloid leukemia].Zhonghua xue ye xue za zhi = Zhonghua xueyexue zazhi · 2023
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  14. [Prognostic implications and functional enrichment analysis of LTB4R in patients with acute myeloid leukemia].Nan fang yi ke da xue xue bao = Journal of Southern Medical University · 2022
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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

4 authors at 1 institution in 1 country.

Xianbo HuangDepartment of Hematology, the First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China.
De ZhouDepartment of Hematology, the First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China.
Xiujin YeDepartment of Hematology, the First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China.
Jie JinDepartment of Hematology, the First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China.
Zhejiang University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Acute myeloid leukemia (AML) is a highly heterogeneous hematopoietic malignancy that strongly correlates with poor clinical outcomes. Ferroptosis is an iron-dependent, non-apoptotic form of regulated cell death which plays an important role in various human cancers. Nevertheless, the prognostic significance and functions of ferroptosis-related genes (FRGs) in AML have not received sufficient attention. The aim of this article was to evaluate the association between FRGs levels and AML prognosis using publicly available RNA-sequencing datasets. The univariate Cox regression analysis identified 20 FRGs that correlate with patient overall survival. The LASSO Cox regression model was used to construct a prognostic 12-gene risk model using a TCGA cohort, and internal and external validation proved the signature efficient. The 12-FRGs signature was then used to assign patients into high- and low-risk groups, with the former exhibiting markedly reduced overall survival, compared to the low-risk group. ROC curve analysis verified the predictive ability of the risk model. Functional analysis showed that immune status and drug sensitivity differed between the 2 risk groups. In summary, FRGs is a promising candidate biomarker and therapeutic target for AML.

Indexed as

FerroptosisLeukemia, Myeloid, AcuteHumansPrognosisProportional Hazards ModelsROC CurveTumor Microenvironment

Identifiers

PMID34784264
PMCPMC9392974
OpenAlexW3212801298

What OpenQuestion holds

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LicenceCC BY
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.