8-methylguanosine and Breast-Neoplasms

Identifying predictive markers for breast cancer (BC) prognosis and immunotherapeutic responses remains challenging. Recent findings indicate that N. We utilized bulk RNA-sequencing data from The Cancer Genome Atlas Breast Cancer Cohort and the GSE42568 and GSE146558 datasets to identify BC-specific m7G-modification regulators and associated genes. We used multiple m7G databases and RNA interference to validate the relationships between BC-specific m7G-modification regulators (METTL1 and WDR4) and related genes. Single-cell RNA-sequencing data from GSE176078 confirmed the association between m7G modifications and TME cells. We constructed an m7G-TME classifier, validated the results using an independent BC cohort (GSE20685;. Immunohistochemistry and RT-qPCR results indicated that METTL1 and WDR4 overexpression in BC correlated with poor patient prognosis. Moreover, single-cell analysis revealed relationships between m7G modification and TME cells, indicating their potential as indicators of BC prognosis and treatment responses. The m7G-TME classifier enabled patient subgrouping and revealed significantly better survival and treatment responses in the m7G. The m7G-TME classifier offers a promising tool for predicting prognosis and immunotherapeutic responses in BC, which could support personalized therapeutic strategies.

Topics: Biomarkers; Breast Neoplasms; Female; GTP-Binding Proteins; Humans; Prognosis; RNA; Tumor Microenvironment

Early detection of breast cancer is important in diagnosis and treatment, and so in enhancing patient survival and reducing death rates. Because of the low diagnostic sensitivity and specificity of widely used breast cancer biomarkers such as CA15-3, we hypothesised that a panel of new metabolic markers would provide superior sensitivity and specificity for this disease.. We recruited 120 women with malignant breast cancer, 47 with benign breast disease and 55 females as a healthy control group. Metabolites 8-hydroxy-2'-deoxyguanosine, 1-methylguanosine, and 1-methyl adenosine were detected and quantified by gas chromatography-mass spectrometry, CA15.3 by ELISA. Cut-off values of individual and combined metabolome with CA15-3 were analysed using the receiver operating characteristics curve (ROCC) to test the efficiency of the candidate metabolome in identifying breast cancer.. The overall linear trend of biomarkers across the groups was significant with highest levels in breast cancer (all p < 0.05). Using cut-off values of CA15-3, 8-hydroxy-2'-deoxyguanosine, 1-methylguanosine and 1-methyl adenosine of 30.5 U/l, 15.0 µg/l, 18.5 µg/l and 22.0 µg/l, respectively, diagnostic performance analyses of combined metabolome with CA15-3 gave a ROCC area under the curve of 0.94 (95% CI: 0.91-0.98)(p < 0.01) with good sensitivity (88.8%), specificity (86.8%) and efficiency (90.6%). Unlike CA15.3, the highest levels of each of the metabolite were in the early stage of breast cancer.. The diagnostic combination test of candidate metabolome with CA15.3 may be a useful tool for the early detection of breast cancer and used as a metabolomics signature in this disease.

Topics: Adenosine; Adult; Biomarkers, Tumor; Breast Neoplasms; Case-Control Studies; Deoxyguanosine; Early Detection of Cancer; Female; Guanosine; Humans; Metabolome; Middle Aged; Mucin-1; ROC Curve; Sensitivity and Specificity