2022
DOI: 10.3389/fimmu.2022.1076045
|View full text |Cite
|
Sign up to set email alerts
|

Prognostic prediction and immune infiltration analysis based on ferroptosis and EMT state in hepatocellular carcinoma

Abstract: BackgroundFerroptosis is one of the main mechanisms of sorafenib against hepatocellular carcinoma (HCC). Epithelial-mesenchymal transition (EMT) plays an important role in the heterogeneity, tumor metastasis, immunosuppressive microenvironment, and drug resistance of HCC. However, there are few studies looking into the relationship between ferroptosis and EMT and how they may affect the prognosis of HCC collectively.MethodsWe downloaded gene expression and clinical data of HCC patients from the Cancer Genome A… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
2

Citation Types

0
8
0

Year Published

2023
2023
2024
2024

Publication Types

Select...
8
1

Relationship

0
9

Authors

Journals

citations
Cited by 11 publications
(9 citation statements)
references
References 51 publications
0
8
0
Order By: Relevance
“…Establishing gene signatures with EMT based on The Cancer Genome Atlas (TCGA) or the Gene Expression Omnibus (GEO) database can provide a basis for the evaluation of prognosis and the development of novel targets for immunotherapy. 25 , 72 Overall, all the topics identified as hotspots in recent years were related to the mechanism of EMT in immunotherapy and the development of therapeutic strategies for improving immunotherapeutic approaches for cancer treatment.…”
Section: Discussionmentioning
confidence: 99%
“…Establishing gene signatures with EMT based on The Cancer Genome Atlas (TCGA) or the Gene Expression Omnibus (GEO) database can provide a basis for the evaluation of prognosis and the development of novel targets for immunotherapy. 25 , 72 Overall, all the topics identified as hotspots in recent years were related to the mechanism of EMT in immunotherapy and the development of therapeutic strategies for improving immunotherapeutic approaches for cancer treatment.…”
Section: Discussionmentioning
confidence: 99%
“…In previous studies, a prognostic model of hepatocellular carcinoma was established using WGCNA analysis of macrophage-related genes ( 41 ). The prognostic model based on ferroptosis and epithelial-mesenchymal transition state helps predict overall survival of hepatocellular carcinoma ( 42 ). Cuproptosis-related subtypes predict tumor microenvironments and drug candidates in hepatocellular carcinoma ( 43 ).…”
Section: Discussionmentioning
confidence: 99%
“…Usually, a multi-gene predictor is more accurate than a single-gene predictor as the prognostic ability of a single gene is limited. A predictor optimally constructed from the selected genes becomes a useful biomarker for predicting survival in breast cancer [ 10 , 11 , 12 , 13 , 14 , 15 ], lung cancer [ 6 , 7 , 8 , 9 , 16 , 17 ], gastric cancer [ 18 , 19 ], ovarian cancer [ 20 , 21 , 22 , 23 , 24 ], skin cancer [ 25 ], liver cancer [ 26 , 27 ], bladder cancer [ 28 ], head and neck cancer [ 29 , 30 ], glioma [ 31 ], myeloproliferative neoplasms [ 32 ], kidney cancer [ 33 ], and cancers of mixed types [ 34 , 35 ]. These analyses were performed mostly based on univariate Cox regression with the significance scaling of p -values, such as 0.05, 0.01, and 0.001, followed by cross-validation and/or external validation.…”
Section: Introductionmentioning
confidence: 99%