Ferroptosis‐related gene signature associates with immunity and predicts prognosis accurately in patients with osteosarcoma

Lei, Ting; Hu, Qian-Nan; Lei, Pengfei; Hu, Yihe

doi:10.1111/cas.15131

Cited by 79 publications

(67 citation statements)

References 52 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In conclusion, these results indicated the important role of RMWs in OS. Although previous studies revealed several prognostic models (including ferroptosis-related gene signatures and autophagy-related prognosis models) for OS [ 27 – 30 ], this is the first study of the RWM-related prognosis model and RMP patterns for OS. Moreover, the ROC of the RMW model was considerably increased compared with that of the ferroptosis-related gene signature (ROC = 8.06) and autophagy-related prognosis model (ROC = 8.38).…”

Section: Discussionmentioning

confidence: 99%

RNA adenosine modifications related to prognosis and immune infiltration in osteosarcoma

et al. 2022

View full text Add to dashboard Cite

Background RNA adenosine modifications, which are primarily mediated by “writer” enzymes (RMWs), play a key role in epigenetic regulation in various biological processes, including tumorigenesis. However, the expression and prognostic role of these genes in osteosarcoma (OS) remain unclear. Methods Univariate and multivariate Cox analyses were used to construct the RMW signature for OS using Target datasets. RMW expression in OS tissue was detected by qPCR analysis. Xcell and GSVA were used to determine the relationship between RMWs and immune infiltration. The DGIdb and CMap databases were used for drug prediction. In vivo and in vitro experiments showed that strophanthidin elicited antitumor activity against OS. Results A 3-RMW (CSTF2, ADAR and WTAP) prognostic signature in OS was constructed using the Target dataset and verified using GEO datasets and 63 independent OS tissues via qPCR analysis. High-risk OS patients had poor overall survival, and the prognostic signature was an independent prognostic factor for OS. Functional studies showed that tumour-, metabolism-, cell cycle- and immune-related pathways were related to high risk. Next, we found that RMW-derived high-risk patients exhibited increased infiltration of M2 macrophages and cDCs. Furthermore, we predicted the potential drugs for OS using the DGIdb and CMap databases. In vivo and in vitro experiments showed that strophanthidin elicited antitumor activity against OS by repressing cell growth and inducing cell cycle arrest at the G1 phase. Conclusion The 3-RWM-based prognostic signature established in this study is a novel gene signature associated with immune infiltration, and strophanthidin was identified as a candidate therapy for OS by repressing OS cell growth and the cell cycle.

show abstract

Section: Discussionmentioning

confidence: 99%

RNA adenosine modifications related to prognosis and immune infiltration in osteosarcoma

et al. 2022

View full text Add to dashboard Cite

show abstract

“…Then, GSH and glutathione peroxidase 4 (GPX4) are synthesized in cells. GSH is mainly used as a cofactor in the process of protecting cells from oxidative damage, and GPX4 catalyzes the reduction of lipid peroxide to alcohols [ 26 ]. Therefore, targeting to cancer metabolism is ongoing to develop new therapies for cancer.…”

Section: Discussionmentioning

confidence: 99%

A Risk-Scoring Model Based on Evaluation of Ferroptosis-Related Genes in Osteosarcoma

Jiang

Wang

et al. 2022

Journal of Oncology

View full text Add to dashboard Cite

Background. Osteosarcoma (OS) is a bone malignancy frequently seen in pediatrics and has high mortality and incidence. Ferroptosis is an important cell death process in regulating the apoptosis and invasion of tumor cells, so constructing the risk-scoring model based on OS ferroptosis-related genes (FRGs) will benefit the evaluation of both treatment and prognosis. Methods. The OS dataset was screened from the Therapeutically Applicable Research to Generate Effective Treatments (TARGET) database, and OS-related FRGs were found through the Ferroptosis Database (FerrDb) using a multivariate Cox regression model, followed by the generation of the risk scores and a risk-scoring prediction model. Further systematical exploration for immune cell infiltration and assessing the prediction of response to targeted drugs was conducted. Results. Based on OS-related FRGs, a risk-scoring model of FRGs in OS was constructed. The six FRGs played a role in the carbon metabolism, glutathione metabolism, and pentose phosphate pathways. Results from targeted drug sensitivity analyses were concordant to pathway analyses. The response to targeted drugs statistically differed between the two groups with different risks, and the high-risk group presented a high sensitivity to targeted drugs. Conclusions. We identified a 6-ferroptosis-gene-based prognostic signature in OS and created and verified a risk-scoring model to predict the prognosis of OS at 1, 3, and 5 years for OS patients independently.

show abstract

“…Although individualized treatment for CRC keeps improving, morbidity and mortality of CRC still remain high ( Dekker et al, 2019 ). Recently, many studies have explored the role of cell death modes in oncogenesis and development of CRC, including necroptosis, autophagy and ferroptosis, expecting to find a novel anti-cancer approach for CRC ( Gong et al, 2019 ; Lei et al, 2021 ; Wang et al, 2021 ). Necroptosis, as a non-Caspase-dependent programmed cell death with necrosis characteristics, has attracted extensive attention in the study of multiple cancers ( Gong et al, 2019 ; Ando et al, 2020 ).…”

Section: Discussionmentioning

confidence: 99%

Necroptosis-Related Genes Associated With Immune Activity and Prognosis of Colorectal Cancer

Peng

Guo

et al. 2022

Front. Genet.

View full text Add to dashboard Cite

This study aims at screening out the key necroptosis-related genes in colorectal cancer and elucidating the role of necroptosis-related genes in the immune activity and prognosis of colorectal cancer (CRC). The CRC patients’ data were downloaded from The Cancer Genome Atlas (TCGA). The non-negative matrix factorization method was applied to identify new molecular subgroups. Survival analysis and single sample Gene Set Enrichment Analysis were performed to determinate the differences in the overall survival time and immune status of the subgroups. Prognostic model was constructed on the basis of univariate Cox regression and LASSO analysis. Functional analyses were used to explore the potential mechanisms. Based on prognostic related necroptosis genes, we identify two molecular subgroups with significantly different survival. The better prognosis was associated with more active immune infiltration and upregulated expression of immune checkpoints. We screened nine necroptosis related genes as key prognostic genes and established a risk model, which showed a good potential for survival prediction in colorectal cancer. Nomogram assessment showed that the model had high reliability for predicting the prognosis of colorectal cancer patients. The high-risk and low-risk group also has different sensitivity to immunotherapy and commonly used drugs for colorectal cancer. Overall, necroptosis related genes were involved in the immune microenvironment of colorectal cancer patient, could be utilized to predict the prognosis of colorectal cancer and develop more individualized treatment.

show abstract

Ferroptosis‐related gene signature associates with immunity and predicts prognosis accurately in patients with osteosarcoma

Abstract: This is an open access article under the terms of the Creat ive Commo ns Attri bution-NonCo mmercial License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes.

Cited by 79 publications

References 52 publications

RNA adenosine modifications related to prognosis and immune infiltration in osteosarcoma

RNA adenosine modifications related to prognosis and immune infiltration in osteosarcoma

A Risk-Scoring Model Based on Evaluation of Ferroptosis-Related Genes in Osteosarcoma

Necroptosis-Related Genes Associated With Immune Activity and Prognosis of Colorectal Cancer

Contact Info

Product

Resources

About