Prognostic implication and functional annotations of APOBEC3G expression in patients with Melanoma

Han, Wei; Xu, Jun; Shen, Ge

doi:10.7150/jca.46383

Cited by 7 publications

(6 citation statements)

References 47 publications

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“…APOBEC3G gene and protein expression was significantly more abundant in melanoma compared to adjacent normal tissues, and its higher expression was associated with longer overall and recurrence‐free survival. Moreover, APOBEC3G expression is positively correlated with the infiltration of B cells, CD8+ T cells, macrophages, neutrophils, and dendritic cells 32 . Our present results warrant further analyses regarding the role of APOBEC3G in bladder cancer, which may be methodologically hampered due to challenging immunological differentiation between various members of the APOBEC family 33 …”

Section: Discussionmentioning

confidence: 58%

Predictive value of molecular subtypes and APOBEC3G for adjuvant chemotherapy in urothelial bladder cancer

et al. 2022

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Section: Discussionmentioning

confidence: 58%

Predictive value of molecular subtypes and APOBEC3G for adjuvant chemotherapy in urothelial bladder cancer

et al. 2022

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“…It is reported that GBP2 exerted anti-tumour effects by inhibiting the Wnt/b-catenin pathway in skin cutaneous melanoma (SKCM) (57) and showed an association with poor prognosis in SKCM when its expression decreased (58). APOBEC3G, as a member of the cellular polynucleotide cytidine deaminases, catalyzes the deamination of cytosine to uracil in single-stranded DNA (59, 60) is significantly correlated with better prognosis when its expression is elevated in SKCM patients (61). As for THBS4, its potential role and prognostic performance in melanoma remains unclear but it is linked to poor prognosis in many other cancers: it effects the amplification and metastasis of gastric cancer positively (62); it may facilitate invasion of tumour cells in breast cancer (63); it accelerates HCC progression by modulating ITGB1 through FAK/PI3K/AKT pathway (64).…”

Section: Discussionmentioning

confidence: 99%

Comprehensive characterisation of immunogenic cell death in melanoma revealing the association with prognosis and tumor immune microenvironment

Ren

Yang²,

Song³

et al. 2022

Front. Immunol.

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Increasing evidence has highlighted the critical functions of immunogenic cell death (ICD) within many tumors. However, the therapeutic possibilities and mechanism of utilizing ICD in melanoma are still not well investigated. Melanoma samples involved in our study were acquired from The Cancer Genome Atlas (TCGA) and the Gene Expression Omnibus (GEO) databases. First, pan-cancer analysis of ICD systematically revealed its expression characteristics, prognostic values, mutation information, methylation level, pathway regulation relationship in multiple human cancers. The non-negative matrix factorization clustering was utilized to separate the TCGA-melanoma samples into two subtypes (i.e. C1 and C2) with different prognosis and immune microenvironment based on the expression traits of ICD. Then, LASSO-Cox regression analysis was utilized to determine an ICD-dependent risk signature (ICDRS) based on the differentially expressed genes (DEGs) between the two subtypes. Principal component analysis and t-distributed stochastic neighbor embedding analysis of ICDRS showed that high- and low-risk subpopulations could be clearly distinguished. Survival analysis and ROC curves in the training, internal validation, and external validation cohorts highlighted the accurate prognosis evaluation of ICDRS. The obvious discrepancies of immune microenvironment between the different risk populations might be responsible for the different prognoses of patients with melanoma. These findings revealed the close association of ICD with prognosis and tumor immune microenvironment. More importantly, ICDRS-based immunotherapy response and targeted drug prediction might be beneficial to different risk subpopulations of patients with melanoma. The innotative ICDRS could function as a marker to determine the prognosis and tumor immune microenvironment in melanoma. This will aid in patient classification for individualized melanoma treatment.

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“…APOBEC3G affected the prognosis of patients by regulating tumor cell proliferation and innate immune response. It is expected to be a potential prognostic marker and an immunotherapy target [32][33][34]. APOBEC3G can affect DNA activity.…”

Section: Discussionmentioning

confidence: 99%

The potential novel immune-related prognostic factors for acute myeloid leukemia

Zheng

et al. 2022

Preprint

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Background The pathological progression in acute myeloid leukemia (AML) was significantly affected by the immune microenvironment of bone marrow, where the immune-related genes (IRGs) and immune cells are involved in the prognosis of the disease. Studying immune-related components provide new ideas for treatment. Methods The transcriptome data and clinical information of 151 TCGA-LAML and 337 GTEx-whole-blood cohorts were downloaded from the UCSC Xena database. The IRGs were obtained from ImmPort database. Differentially expressed IRGs (DEIGs) were obtained from differentially expressed genes (DEGs). A prognostic model was constructed by COX regression analysis and verified by Kaplan-Meier (K-M) and receiver operating characteristic (ROC) curves in the training and validation cohorts (GEO37642 cohort). The relationship between gene expression level and prognosis was analyzed by K-M method. The independent prognostic factors were screened by univariate and multivariate Cox regression analysis. Relative immune cell composition of AML and healthy samples was calculated using the CIBERSORT algorithm. Results Enrichment analysis revealed that the immune cells and immune-related biology functions participated in AML progression. A prognostic model containing eight genes was constructed. In the training and validation cohorts, the survival rate of the low-risk group was significantly higher than that of the high-risk group. The area under the curve (AUC) values of ROC curves were ≥ 0.7. Among the model, high expression of CANX (P = 0.012), CLEC11A (P = 0.016), and TRH (P = 1.256E-04) was associated with a higher survival rate, while high expression of IL3RA (P = 0.038), KIR2DS4 (P = 0.016), APOBEC3G (P = 1.426E-04), and CKLF (P = 0.015) was associated with lower survival rate. The CANX expression level may affect the sensitivity of some drugs. Age, karyotype, and risk score are independent prognostic factors for AML. The differential level of 17 immune cells was observed between the AML and healthy samples. The levels of Macrophages M1, T cells follicular helper, and T cells CD8 were positively correlated with survival rate. Discussions The prognostic model may be helpful in predicting patient outcomes and 7 IRGs and 3 immune cells may be potential biomarkers and immunotherapy targets for AML in the future.

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Prognostic implication and functional annotations of APOBEC3G expression in patients with Melanoma

Cited by 7 publications

References 47 publications

Predictive value of molecular subtypes and APOBEC3G for adjuvant chemotherapy in urothelial bladder cancer

Predictive value of molecular subtypes and APOBEC3G for adjuvant chemotherapy in urothelial bladder cancer

Comprehensive characterisation of immunogenic cell death in melanoma revealing the association with prognosis and tumor immune microenvironment

The potential novel immune-related prognostic factors for acute myeloid leukemia

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