Necroptosis-associated long noncoding RNAs can predict prognosis and differentiate between cold and hot tumors in ovarian cancer

Fang, Lu-wei; Hu, Di; Chen, Shiliang; Shen, Siyu; Chen, Kaili; Mei, Jie; Li, Junyu; Zhang, Hongpan; Liu, Yonglin; Zhang, Li

doi:10.3389/fonc.2022.967207

Cited by 10 publications

(4 citation statements)

References 44 publications

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“…Zhu et al built an eight necroptosis-related lncRNAs signature with significant values in predicting prognostic in OC [ 35 ]. Besides, Yi-Bo He et al applied six necroptosis-associated lncRNAs to construct a model, which was used to differentiate between hot and cold tumors and provide the treatment strategy for OC [ 36 ]. These studies suggested that necroptosis-related lncRNA signature could perform well in predicting prognosis in OC patients.…”

Section: Discussionmentioning

confidence: 99%

Development of a necroptosis-related gene signature and the immune landscape in ovarian cancer

Nie

Chen

et al. 2023

J Ovarian Res

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Background Necroptosis is a novel type of programmed cell death distinct from apoptosis. However, the role of necroptosis in ovarian cancer (OC) remains unclear. The present study investigated the prognostic value of necroptosis-related genes (NRGs) and the immune landscape in OC. Methods The gene expression profiling and clinical information were downloaded from the TCGA and GTEx databases. Differentially expressed NRGs (DE-NRGs) between OC and normal tissueswere identified. The regression analyses were conducted to screen the prognostic NRGs and construct the predictive risk model. Patients were then divided into high- and low-risk groups, and the GO and KEGG analyses were performed to explore bioinformatics functions between the two groups. Subsequently, the risk level and immune status correlations were assessed through the ESTIMATE and CIBERSORT algorithms. The tumor mutation burden (TMB) and the drug sensitivity were also analyzed based on the two-NRG signature in OC. Results Totally 42 DE-NRGs were identified in OC. The regression analyses screened out two NRGs (MAPK10 and STAT4) with prognostic values for overall survival. The ROC curve showed a better predictive ability in five-year OS using the risk score. Immune-related functions were significantly enriched in the high- and low-risk group. Macrophages M1, T cells CD4 memory activated, T cells CD8, and T cells regulatory infiltration immune cells were associated with the low-risk score. The lower tumor microenvironment score was demonstrated in the high-risk group. Patients with lower TMB in the low-risk group showed a better prognosis, and a lower TIDE score suggested a better immune checkpoint inhibitor response in the high-risk group. Besides, cisplatin and paclitaxel were found to be more sensitive in the low-risk group. Conclusions MAPK10 and STAT4 can be important prognosis factors in OC, and the two-gene signature performs well in predicting survival outcomes. Our study provided novel ways of OC prognosis estimation and potential treatment strategy.

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Section: Discussionmentioning

confidence: 99%

Development of a necroptosis-related gene signature and the immune landscape in ovarian cancer

Nie

Chen

et al. 2023

J Ovarian Res

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“…Among the six survival-related lncRNAs, AC090559.1 demonstrated its prognostic value in various programmed cell death [ 41 – 44 ]. AL133371.2 can also predict the prognostic of autophagy-related and necroptosis-related survival in different cancers [ 45 , 46 ]. LINC01094 was known for their regulatory function in glioblastoma and ovarian cancer [ 47 , 48 ].…”

Section: Discussionmentioning

confidence: 99%

The role of pyroptosis-related lncRNA risk signature in ovarian cancer prognosis and immune system

Wu,

Liang,

et al. 2023

Discov Onc

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Ovarian cancer is a leading cause of death in females with gynecologic cancers. Pyroptosis is a relatively new discovered programmed cell death that is believed to be associated with inflammation. However, studies on pyroptosis-related lncRNAs in ovarian cancer are limited. In this study, we identified 29 pyroptosis-related genes and screened out 72 pyroptosis-related lncRNAs. Furthermore, the 72 lncRNAs were eliminated to 2 survival-related lncRNAs using Cox regression and Lasso regression to build an ovarian cancer prognostic prediction signature and were further validated on the test set. We adopted a riskscore from the two-gene signature, and the survival in low-risk group was higher than the high-risk group. Functional enrichment analysis indicated that the differentially expressed genes (DEGs) between two risk groups were associated with tumor immunity. This study implies that pyroptosis-related genes are closely related to tumor immunity and could be potential therapeutic factors for ovarian cancer treatment.

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“…Necroptosis is a new type of cell death regulation whose morphological characteristics are similar to those of necrosis, but the difference lies in whether it is regulated by signaling pathways (37). Recent studies have shown that necroptosis is closely associated with tumor progression (38)(39)(40)(41), but little is known about the role of necroptosis in ccRCC. In this study, we characterized the expression of necroptosis-related genes, established an NRL model to predict OS, and evaluated its predictive power in terms of clinical outcomes, immunologic microenvironments, and response to immunotherapy.…”

Section: Discussionmentioning

confidence: 99%

A novel necroptosis-related long noncoding RNA model for predicting clinical features, immune characteristics, and therapeutic response in clear cell renal cell carcinoma

Zhang

Chen

et al. 2023

Front. Immunol.

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BackgroundNecroptosis is an immune-related cell death pathway involved in the regulation of the tumor microenvironment (TME). Here, we aimed to explore the role of necroptosis in clear cell renal cell carcinoma (ccRCC) and construct a necroptosis-related lncRNA (NRL) model to assess its potential association with clinical characteristics and immune status.MethodsGene expression profiles and clinical data for ccRCC patients were obtained from the Cancer Genome Atlas (TCGA). Pearson’s correlation, univariate Cox, and least absolute shrinkage and selection operator analyses were used to develop an NRL model. Kaplan–Meier (K-M) and receiver operating characteristic (ROC) curve analyses were used to determine the prognostic value of the NRL model. The clinical information was used to assess the diagnostic value of the NRL model. The TME, immune function, immune cell infiltration, and immune checkpoints associated with the NRL model risk score were studied using the ESTIMATE, GSEA, ssGSEA, and CIBERSORT algorithms. The immunophenoscore (IPS) and half-maximal inhibitory concentration (IC50) were used to compare the efficacies of immunotherapy and chemotherapy based on the NRL model. Finally, in vitro assays were performed to confirm the biological roles of NRLs.ResultsA total of 18 necroptosis-related genes and 285 NRLs in ccRCC were identified. A four-NRL model was constructed and showed good performance in the diagnosis and prognosis of ccRCC patients. The ESTIMATE scores, tumor mutation burden, and tumor stemness indices were significantly correlated with NRL model risk score. Immune functions such as chemokine receptors and immune receptor activity showed differences between different risk groups. The infiltration of immunosuppressive cells such as Tregs was higher in high-risk patients than in low-risk patients. High-risk patients were more sensitive to immunotherapy and some chemotherapy drugs, such as sunitinib and temsirolimus. Finally, the expression of NRLs included in the model was verified, and knocking down these NRLs in tumor cells affected cell proliferation, migration, and invasion.ConclusionNecroptosis plays an important role in the progression of ccRCC. The NRL model we constructed can be used to predict the clinical characteristics and immune features of ccRCC patients.

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Necroptosis-associated long noncoding RNAs can predict prognosis and differentiate between cold and hot tumors in ovarian cancer

Cited by 10 publications

References 44 publications

Development of a necroptosis-related gene signature and the immune landscape in ovarian cancer

Development of a necroptosis-related gene signature and the immune landscape in ovarian cancer

The role of pyroptosis-related lncRNA risk signature in ovarian cancer prognosis and immune system

A novel necroptosis-related long noncoding RNA model for predicting clinical features, immune characteristics, and therapeutic response in clear cell renal cell carcinoma

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