Evidence map›Paper›PMID 36035010›Full record

ArticleAnnals of translational medicine2022

Comprehensive analysis of the relationship between the ferroptosis and tumor-infiltrating immune cells, mutation, and immunotherapy in breast cancer.

Zhixian He, Zuoyuan Zhou, Feiran Wang, Ling Gai, Yeqing Huang, Xiang Zhong, Jing Li, Ling Zuo, Nannan Zhang, Sujie Ni

Abstract read
In one paragraph

Article in Annals of translational medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

10 authors.

Zhixian He *Department of General Surgery, Affiliated Hospital of Nantong University, Nantong, China.
Zuoyuan Zhou *Department of Oncology, Affiliated Hospital of Nantong University, Nantong, China.
Feiran Wang *Department of General Surgery, Affiliated Hospital of Nantong University, Nantong, China.
Ling GaiDepartment of Oncology, Affiliated Hospital of Nantong University, Nantong, China.
Yeqing HuangDepartment of Oncology, Affiliated Hospital of Nantong University, Nantong, China.
Xiang ZhongDepartment of General Surgery, Affiliated Hospital of Nantong University, Nantong, China.
Jing LiDepartment of Oncology, Affiliated Hospital of Nantong University, Nantong, China.
Ling ZuoDepartment of Oncology, Affiliated Hospital of Nantong University, Nantong, China.
Nannan ZhangDepartment of General Surgery, Affiliated Hospital of Nantong University, Nantong, China.
Sujie NiDepartment of Oncology, Affiliated Hospital of Nantong University, Nantong, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Ferroptosis is a kind of programmed cell death that is characterized by iron dependence. It differs from apoptosis, necrosis, autophagy, pyroptosis, and other types of cell death. Some studies have found that most of the genes involved in the regulation of ferroptosis or act as markers of ferroptosis are related to the poor prognosis of cancer patients. Methods: This study evaluated the expression, mutation, and copy number variation (CNV) of 60 previously reported ferroptosis genes in breast cancer samples from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) databases. Unsupervised clustering of breast cancer samples with ferroptosis genes was performed, followed by enrichment analysis with Gene Set Variation Analysis (GSVA), mutation display, and correlation analysis of clinical characteristics. Based on the analysis of differences among groups, the ferroptosis-related genes were identified, and the consistent clustering of breast cancer samples was performed. The characteristic genes were screened by stochastic forest algorithm and COX analysis, and a ferroptosis score (ferr.score) model was constructed to evaluate the prognosis of breast cancer patients. Results: Copy number amplification and deletion of ferroptosis genes are common in breast cancer. Breast cancer patients grouped by ferroptosis gene clusters showed significant differences in survival, immune cell infiltration, and enriched Kyoto Encyclopedia of Genes and Genomes (KEGG) signaling pathways. The ferroptosis-related differential genes were identified by comparison among clustering groups of ferroptosis gene. Characteristic genes were screened from these ferroptosis-related differential genes to construct the ferr.score model. The scoring model could accurately distinguish and predict the survival prognosis and immunotherapy efficacy in breast cancer patients. Conclusions: Ferroptosis plays an important role in the occurrence and development of tumors. According to the ferr.score model, the breast cancer samples can be divided into two groups with significantly different prognoses. These results provide novel insights and ideas for immunotherapy in breast cancer patients.

Indexed as

breast cancerconsensus clusteringFerroptosisimmunityprognosis

Identifiers

PMID36035010
PMCPMC9403941

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