Role of <scp>NCF2</scp> as a potential prognostic factor and immune infiltration indicator in hepatocellular carcinoma

Huang, Ning; Zhang, Jing; Kuang, Shuwen; Li, Zhuo; Zhao, Hong; Wu, Jianxiong; Liu, Mei; Wang, Liming

doi:10.1002/cam4.5597

Cited by 9 publications

(5 citation statements)

References 45 publications

(72 reference statements)

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“…BMI1 is associated with the prognosis and recurrence of liver cancer and is a new target for its treatment [ 33 ]. Liver cancer patients with elevated levels of NCF2 exhibit increased infiltration of M2 macrophages within the TME, leading to a negative prognosis [ 34 ]. High expression of SOCS2 can promote ubiquitination degradation of SLC7A11 and induce ferroptosis, affecting the sensitivity of liver cancer to radiotherapy [ 35 ].…”

Section: Discussionmentioning

confidence: 99%

A novel model based on ubiquitination-related gene to predict prognosis and immunotherapy response in hepatocellular carcinoma

Chen,

Su,

You

et al. 2024

Heliyon

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Section: Discussionmentioning

confidence: 99%

A novel model based on ubiquitination-related gene to predict prognosis and immunotherapy response in hepatocellular carcinoma

Chen,

Su,

You

et al. 2024

Heliyon

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Section: Discussionmentioning

confidence: 99%

“…Therefore, perhaps this certain link between MS4A6A and DCTN1 exists, but whether and how exactly it affects MS progression and the types of lesions produced deserve further exploration. 69 In addition, IL2RG in ovarian cancer 63 and melanoma 70 and NCF2 in hepatocellular carcinoma 60 have been shown to be potential prognostic factors and indicators of immune infiltration.…”

Section: Discussionmentioning

confidence: 99%

“…NCF2 has been demonstrated in an increasing number of studies to be a useful biomarker for several illnesses, such as acute myocardial infarction (AMI), 57 chronic granulomatous disease (CGD), 58 systemic lupus erythematosus (SLE), 59 and hepatocellular carcinoma (HCC). 60 The immune microenvironment contains complex cell populations. The four key genes we identified in this study have also been reported to correlate with the immune microenvironment in many other reports.…”

Section: Discussionmentioning

confidence: 99%

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Single-Cell Sequencing Combined with Transcriptome Sequencing Constructs a Predictive Model of Key Genes in Multiple Sclerosis and Explores Molecular Mechanisms Related to Cellular Communication

Hu,

Zhu,

Tian

et al. 2024

JIR

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Background Multiple sclerosis (MS) causes chronic inflammation and demyelination of the central nervous system and comprises a class of neurodegenerative diseases in which interactions between multiple immune cell types mediate the involvement of MS development. However, the early diagnosis and treatment of MS remain challenging. Methods Gene expression profiles of MS patients were obtained from the Gene Expression Omnibus (GEO) database. Single-cell and intercellular communication analyses were performed to identify candidate gene sets. Predictive models were constructed using LASSO regression. Relationships between genes and immune cells were analyzed by single sample gene set enrichment analysis (ssGSEA). The molecular mechanisms of key genes were explored using gene enrichment analysis. An miRNA network was constructed to search for target miRNAs related to key genes, and related transcription factors were searched by transcriptional regulation analysis. We utilized the GeneCard database to detect the correlations between disease-regulated genes and key genes. We verified the mRNA expression of 4 key genes by reverse transcription-quantitative PCR (RT‒qPCR). Results Monocyte marker genes were selected as candidate gene sets. CD3D, IL2RG, MS4A6A , and NCF2 were found to be the key genes by LASSO regression. We constructed a prediction model with AUC values of 0.7569 and 0.719. The key genes were closely related to immune factors and immune cells. We explored the signaling pathways and molecular mechanisms involving the key genes by gene enrichment analysis. We obtained and visualized the miRNAs associated with the key genes using the miRcode database. We also predicted the transcription factors involved. We used validated key genes in MS patients, several of which were confirmed by RT‒qPCR. Conclusion The prediction model constructed with the CD3D, IL2RG, MS4A6A , and NCF2 genes has good diagnostic efficacy and provides new ideas for the diagnosis and treatment of MS.

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“…NCF2/p67phox is one of the two important activating subunits of NADPH oxidase [ 21 , 22 ], and plays an irreplaceable role in the biological function of NADPH oxidase. NCF2/p67phox expression has been reported to be upregulated in clear cell renal cell carcinoma (ccRCC) [ 23 ], urothelial carcinoma [ 20 ], malignant glioma [ 24 , 25 ], hepatocellular carcinoma [ 26 , 27 ] and colorectal carcinoma [ 28 ], and associated with poor prognosis. However, the regulatory mechanism of NCF2/p67phox in BLCa angiogenesis and metastasis remains unknown.…”

Section: Introductionmentioning

confidence: 99%

M6A-mediated-upregulation of lncRNA BLACAT3 promotes bladder cancer angiogenesis and hematogenous metastasis through YBX3 nuclear shuttling and enhancing NCF2 transcription

Xie,

Zhang,

Wang

et al. 2023

Oncogene

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Lymphatic metastasis is recognized as the leading manner of metastasis in bladder cancer (BLCa), but hematogenous metastasis accounts for a majority of cancer-associated deaths. The past two decades have witnessed tremendous attention in long non-coding RNAs (lncRNAs), which are a new hope for the development of targeted drug therapy for metastatic cancers; however, the underlying mechanism of lncRNAs involved in BLCa hematogenous metastasis remains to be elucidated. Here, we identified BLCa-associated transcript 3 (BLACAT3), a lncRNA, which was aberrantly upregulated in BLCa and corelated with poor prognosis of patients with muscle-invasive bladder cancer. Methodologically, m6A epitranscriptomic microarray, RNA sequencing and mass spectrometry (MS) were used to screen the key molecules of the regulatory axis. Functional assays, animal models and clinical samples were used to explore the roles of BLACAT3 in BLCa in vitro and in vivo. Mechanistically, m6A modification contributes to BLACAT3 upregulation by stabilizing RNA structure. BLACAT3 recruits YBX3 to shuttle into the nucleus, synergistically enhances NCF2 transcription, and promotes BLCa angiogenesis and hematogenous metastasis by activating downstream NF-κB signaling. Our findings will develop prognosis prediction tools for BLCa patients and discover novel therapeutic biological targets for metastatic BLCa.

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Role of NCF2 as a potential prognostic factor and immune infiltration indicator in hepatocellular carcinoma

Abstract: This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

Cited by 9 publications

References 45 publications

A novel model based on ubiquitination-related gene to predict prognosis and immunotherapy response in hepatocellular carcinoma

A novel model based on ubiquitination-related gene to predict prognosis and immunotherapy response in hepatocellular carcinoma

Single-Cell Sequencing Combined with Transcriptome Sequencing Constructs a Predictive Model of Key Genes in Multiple Sclerosis and Explores Molecular Mechanisms Related to Cellular Communication

M6A-mediated-upregulation of lncRNA BLACAT3 promotes bladder cancer angiogenesis and hematogenous metastasis through YBX3 nuclear shuttling and enhancing NCF2 transcription

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