Comprehensive analysis of the prognosis and biological significance for IFIT family in skin cutaneous melanoma

Jiang, Yuxiong; Zhang, Chen; Zhang, Jieping; Han, Dong-Xu; Shi, Xiujuan

doi:10.1016/j.intimp.2021.108344

Cited by 13 publications

(9 citation statements)

References 41 publications

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“…IFIT5 has a special tetratricopeptide repeat (TPR) structure that regulates cell function by recognizing its partner to form a complex, affecting cell migration ability and proliferative activity (46, 47). Studies have reported that high expression of IFIT5 is associated with more immune cell infiltration and its low expression is an independent risk factor for the prognosis of patients with malignant melanoma (48), which is consistent with the conclusion of this paper. Furthermore, IFIT5 plays different roles in the development of certain tumors.…”

Section: Discussionsupporting

confidence: 93%

Integrated analysis from multi-center studies identities m7G-derived modification pattern and risk stratification system in skin cutaneous melanoma

Zhang

Miao²,

Sun³

et al. 2022

Front. Immunol.

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The m7G modification has been proven to play an important role in RNA post-transcriptional modification and protein translation. However, the potential role of m7G modification patterns in assessing the prognosis of Skin cutaneous melanoma (SKCM) and tumor microenvironment (TME) has not been well studied. In this study, we investigated and finally identified 21 available m7G-related genes. We used hierarchical clustering (K-means) to classify 743 SKCM patients into three m7G-modified subtypes named m7G/gene cluster-A, B, C. We found that both m7G cluster B and gene cluster B exhibited higher prognosis and higher immune cell infiltration in TME compared to other subtypes. EIF4E3 and IFIT5, two m7G related genes, were both markedly elevated in Cluster B. Then, we constructed an m7G score system utilizing principal component analysis (PCA) in order to evaluate the patients' prognosis. High m7G score subtype was associated with better survival prognosis and active immune response. Overall, this article revealed that m7G modification patterns were involved in the development of the tumor microenvironment. Evaluating patients' m7G modification patterns will enhance our understanding of TME characteristics and help to guide personal treatment in clinics in the future.

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Section: Discussionsupporting

confidence: 93%

Integrated analysis from multi-center studies identities m7G-derived modification pattern and risk stratification system in skin cutaneous melanoma

Zhang

Miao²,

Sun³

et al. 2022

Front. Immunol.

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“…CXCL11 from cancer‐related fibroblasts regulates hepatocellular carcinoma cell migration and metastasis through the circUBAP2/mir‐4756/IFIT1/3 axis 69 . Statistical studies have found that IFIT3 may be involved in the occurrence and development of esophageal squamous cell carcinoma (ESCC), 70 leukemia, 71 and melanoma 72 . IFIT3 has been shown to induce chemoresistance by regulating posttranslational modification of VDAC2 in pancreatic cancer 73 .…”

Section: Role Of Ifit3 In Cellular Biology Changesmentioning

confidence: 99%

The emerging roles of IFIT3 in antiviral innate immunity and cellular biology

Zhang

Xin

et al. 2022

Journal of Medical Virology

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The interferon‐inducible protein with tetrapeptide repeats 3 (IFIT3) is one of the most important members in both the IFIT family and interferon‐stimulated genes family. IFIT3 has typical features of the IFIT family in terms of gene and protein structures, and is able to be activated through the classical PRRs‐IFN‐JAK/STAT pathway. A variety of viruses can induce the expression of IFIT3, which in turn inhibits the replication of viruses, with the underlying mechanism showing its crucial role in antiviral innate immunity. Emerging studies have also identified that IFIT3 is involved in cellular biology changes, including cell proliferation, apoptosis, differentiation, and cancer development. In this review, we summarize the characteristics of IFIT3 with respect to molecular structure and regulatory pathways, highlighting the role of IFIT3 in antiviral innate immunity, as well as its diverse biological roles. We also discuss the potential of IFIT3 as a biomarker in disease diagnosis and therapy.

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“…IFIT5 belongs to the interferon-inducible tetrapeptide repeat protein (IFIT) family. It is an essential component of the antiviral immune response 52 and acts as a tumor suppressor by participating in the apoptotic pathway 53 . The current research describes for the first time that the risk scores created by EIF4E3 , LARP1 , NCBP3 , and IFIT5 can serve as independent prognostic factors for melanoma.…”

Section: Discussionmentioning

confidence: 99%

N7-methylguanosine methylation-related regulator genes as biological markers in predicting prognosis for melanoma

Deng

Lin

Liu

et al. 2022

Sci Rep

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The aim of this study is to find those N7-methylguanosine (m7G) methylation-related regulator genes (m7GMRRGs) which were associated with melanoma prognosis and use them to develop a prognostic prediction model. Clinical information was retrieved online from The Cancer Gene Atlas (TCGA) and the Gene Expression Omnibus (GEO). R software was used to extract m7GMRRGs by differential expression analysis. To create a prognostic risk model, univariate and multivariate Cox regression analyses were employed for the evaluation of the prognostic significance of m7G methylation modifiers. Internal validation using cohort from TCGA (training set) and external validation using cohort from GEO (validation set) of the model were carried out. The model’s predictive performance was confirmed by using the Kaplan–Meier, univariate, and multivariate Cox regression, and receiver operating characteristic curve (ROC) by constructing column line plots incorporating clinical factor characteristics. Immune infiltration analyses were performed to assess the immune function of m7GMRRGs. Drug sensitivity analysis was conducted to study chemotherapeutic drug treatment cues. Prognostic models using four m7GMRRGs (EIF4E3, LARP1, NCBP3, and IFIT5) showed good prognostic power in training and validation sets. The area under the curve (AUC) at 1, 3, and 5 years for GEO-melanoma were 0.689, 0.704, and 0.726, respectively. The prediction model could distinctly classify patients with melanoma into different risk subgroups (P < 0.001 for TCGA-melanoma and P < 0.05 for GEO-melanoma). Clinical characteristics were taken into account in Cox regression and AUC analysis, which highlighted that the risk score served as an independent risk factor determining the prognosis of patients with melanoma. Immuno-infiltration analysis showed that m7GMRRGs could potentially regulate CD8+ T cells as well as regulatory T cells (Treg cells). Results of our study indicate a association between m7GMRRGs and melanoma prognosis, and the prognostic prediction model using m7GMRRGs may predict the prognosis of patients with melanoma well. Nevertheless, these results may provide a clue for potential better options of melanoma treatment but need further validation in futural studies.

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Comprehensive analysis of the prognosis and biological significance for IFIT family in skin cutaneous melanoma

Cited by 13 publications

References 41 publications

Integrated analysis from multi-center studies identities m7G-derived modification pattern and risk stratification system in skin cutaneous melanoma

Integrated analysis from multi-center studies identities m7G-derived modification pattern and risk stratification system in skin cutaneous melanoma

The emerging roles of IFIT3 in antiviral innate immunity and cellular biology

N7-methylguanosine methylation-related regulator genes as biological markers in predicting prognosis for melanoma

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