Evidence map›Paper›PMID 33979897›Full record

ArticleThoracic cancer2021

Prognostic value of ferroptosis-related genes in patients with lung adenocarcinoma.

Guangsheng Zhu, Hua Huang, Songlin Xu, Ruifeng Shi, Zhouyong Gao, Xi Lei, Shuai Zhu, Ning Zhou, Lingling Zu, Ramon A De Mello and 2 more

Abstract read
In one paragraph

Article in Thoracic cancer, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Regulation of Ferroptosis in Lung Adenocarcinoma.International journal of molecular sciences · 2023
    Review
  9. Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. Review
  15. 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

12 authors.

Guangsheng Zhu *Department of Lung Cancer Surgery, Tianjin Medical University General Hospital, Tianjin, China.
Hua Huang *Department of Lung Cancer Surgery, Tianjin Medical University General Hospital, Tianjin, China.
Songlin Xu *Department of Lung Cancer Surgery, Tianjin Medical University General Hospital, Tianjin, China.
Ruifeng ShiDepartment of Lung Cancer Surgery, Tianjin Medical University General Hospital, Tianjin, China.
Zhouyong GaoTianjin Medical University, Tianjin, China.
Xi LeiDepartment of Lung Cancer Surgery, Tianjin Medical University General Hospital, Tianjin, China.
Shuai ZhuDepartment of Lung Cancer Surgery, Tianjin Medical University General Hospital, Tianjin, China.
Ning ZhouDepartment of Lung Cancer Surgery, Tianjin Medical University General Hospital, Tianjin, China.
Lingling ZuDepartment of Lung Cancer Surgery, Tianjin Medical University General Hospital, Tianjin, China.
Ramon A De MelloEscola Paulista de Medicina, Federal University of Sao Paulo, Sao Paulo, Brazil.
Jun ChenDepartment of Lung Cancer Surgery, Tianjin Medical University General Hospital, Tianjin, China.ORCID 0000-0002-2362-5359
Song XuDepartment of Lung Cancer Surgery, Tianjin Medical University General Hospital, Tianjin, China.ORCID 0000-0001-6153-387X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe prevalence of lung adenocarcinomas (LUADs) has dramatically increased in recent decades. Ferroptosis is a process of iron-dependent regulatory cell death. It is still unclear whether the expression of ferroptosis-related genes (FRGs) is involved in the pathogenesis and survival of patients with LUAD.

methodsWe retrieved LUAD data from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) databases and used LASSO Cox regression analysis to select the gene signature suitable for modeling. The risk score was calculated according to the model, and the patients were divided into high- and low-risk groups according to the median risk score. Functional enrichment analysis was carried out by this group, and a model for predicting clinical prognosis was established by combining this group with clinical factors.

resultsGene set enrichment analysis (GSEA) and single-sample gene set enrichment analysis (ssGSEA) analysis showed that there were several immune-related pathways and immune infiltration differences between high- and low-risk groups. A prognostic model integrating 10 ferroptosis-related genes (FR-DEGs), and clinical factors were constructed and validated in an external cohort.

conclusionsThe FR-DEGs signature was related to immune infiltration, and a model based on FR-DEGs and clinical factors was established to predict the prognosis of patients with LUAD.

Indexed as

Adenocarcinoma of LungFemaleFerroptosisHumansLung NeoplasmsMaleMiddle AgedPrevalencePrognosisferroptosisferroptosis-related genesLUADlung adenocarcinoma

Identifiers

PMID33979897
PMCPMC8201541

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