Evidence map›Paper›PMID 35111195›Full record

ArticleFrontiers in genetics2021

Construction and Validation of a Novel Ferroptosis-Related Prognostic Model for Acute Myeloid Leukemia.

Ying Song, Shufang Tian, Ping Zhang, Nan Zhang, Yan Shen, Jianchuan Deng

Abstract read
In one paragraph

Article in Frontiers in genetics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.

0numbers the graph read from it
0cells of the map it votes in
38citing 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

38 citing papers in PubMed.

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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

6 authors.

Ying SongDepartment of Hematology, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Shufang TianDepartment of Hematology, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Ping ZhangHematology Laboratory, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Nan ZhangDepartment of Hematology, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Yan ShenDepartment of Hematology, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Jianchuan DengDepartment of Hematology, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Acute myeloid leukemia (AML) is a clonal malignant proliferative blood disorder with a poor prognosis. Ferroptosis, a novel form of programmed cell death, holds great promise for oncology treatment, and has been demonstrated to interfere with the development of various diseases. A range of genes are involved in regulating ferroptosis and can serve as markers of it. Nevertheless, the prognostic significance of these genes in AML remains poorly understood. Transcriptomic and clinical data for AML patients were acquired from The Cancer Genome Atlas (TCGA) and the Gene Expression Omnibus (GEO). Univariate Cox analysis was performed to identify ferroptosis-related genes with prognostic value, and the least absolute shrinkage and selection operator (LASSO) algorithm and stepwise multivariate Cox regression analysis were utilized to optimize gene selection from the TCGA cohort (132 samples) for model construction. Tumor samples from the GEO database (136 samples and 104 samples) were used as validation groups to estimate the predictive performance of the risk model. Finally, an eight-gene prognostic signature (including

Indexed as

AMLbioinformaticsferroptosisprognosisprognostic modelsurvival

Identifiers

PMID35111195
PMCPMC8803125

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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.