Evidence map›Paper›PMID 35656299›Full record

ArticleFrontiers in pharmacology2022

Comprehensive Analysis of a Ferroptosis Pattern and Associated Prognostic Signature in Acute Myeloid Leukemia.

Zelong Cui, Yue Fu, Zongcheng Yang, Zhenxing Gao, Huimin Feng, Minran Zhou, Lu Zhang, Chunyan Chen

Open access · goldAbstract read
In one paragraph

Article in Frontiers in pharmacology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
2.4field-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

14 citing papers in PubMed, 16 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. [Advances of ferroptosis pathways in acute myeloid leukemia].Zhonghua xue ye xue za zhi = Zhonghua xueyexue zazhi · 2023
    Article
  10. Review
  11. Article
  12. Article
  13. Targeting regulated cell death pathways in acute myeloid leukemia.Cancer drug resistance (Alhambra, Calif.) · 2023
    Review
  14. 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

8 authors at 2 institutions in 1 country.

Zelong CuiDepartment of Hematology, Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China.
Yue FuDepartment of Hematology, Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China.
Zongcheng YangCenter of Stomatology, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, China.
Zhenxing GaoDepartment of Hematology, Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China.
Huimin FengDepartment of Hematology, Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China.
Minran ZhouDepartment of Hematology, Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China.
Lu ZhangDepartment of Hematology, Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China.
Chunyan ChenDepartment of Hematology, Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China.
Qilu Hospital of Shandong University · CNUniversity of Science and Technology of China · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ferroptosis is a widespread form of programmed cell death. The environment of cancer cells makes them vulnerable to ferroptosis, including AML cells, yet the specific association between ferroptosis and AML outcome is little known. In this study, we utilized ferroptosis-related genes to distinguish two subtypes in TCGA cohort, which were subsequently validated in independent AML cohorts. The subtypes were linked with tumor-related immunological abnormalities, mutation landscape and pathway dysregulation, and clinical outcome. Further, we developed a 13-gene prognostic model for AML from DEG analysis in the two subtypes. A risk score was calculated for each patient, and then the overall group was stratified into high- and low-risk groups; the higher risk score correlated with short survival. The model was validated in both independent AML cohorts and pan-cancer cohorts, which demonstrated robustness and extended the usage of the model. A nomogram was constructed that integrated risk score, FLT3-ITD, TP53, and RUNX1 mutations, and age. This model had the additional value of discriminating the sensitivity of several chemotherapeutic drugs and ferroptosis inducers in the two risk groups, which increased the translational value of this model as a potential tool in clinical management. Through integrated analysis of ferroptosis pattern and its related model, our work shed new light on the relationship between ferroptosis and AML, which may facilitate clinical application and therapeutics.

Indexed as

drug sensitivityferroptosisimmune statusleukemiaprognosis

Identifiers

PMID35656299
PMCPMC9152364
OpenAlexW4280594970

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.