Xiao Luo1, Hong Yu1, Yan Song1, Tong Sun1. 1. Department of Breast Surgery, China-Japan Union Hospital of Jilin University, Changchun, Jilin, China.
Abstract
OBJECTIVE: Breast cancer (BC) is a malignant tumor which threat to women's physical and mental health. However, the mechanism of metabolism alteration in BC remains unclear. This study is intended to figure out the relationship between the alternation of metabolism and the progression of BC. METHODS: In this study, metabolites of plasma in 60 BC patients and 40 healthy volunteers were detected using liquid chromatography mass spectrometer (LC-MS). Transcriptomic data were obtained from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) database. Kyoto Encyclopedia of Genes and Genomes (KEGG) database was performed to enrich the pathways. RESULTS: A total of 97 metabolites have been identified and measured, of which 17 compounds exhibited the differential expression between tumor group and control group (p < 0.05; FDR < 0.05). Metabolites set enrichment analysis (MSEA) displayed that there were 12 significantly enriched pathways in all. Through the KEGG database, 382 genes were found closely correlated with the altered metabolic pathways. TCGA and GEO transcriptomic profiling revealed that 5,018 genes significantly changed between tumor group and control group. Integrating these genes with the transcriptomic data from the corresponding KEGG data set, we identified most of the differential expressed genes were related to purine metabolism. A total of 28 different expression genes were hub genes, wherein AMPD1 and RRM2 were significantly effective in the prediction of survival of BC patients, with 0.04 and 0.02, respectively. CONCLUSIONS: Combining with the transcriptomic and metabolomics data, we found that the dysregulation of purine metabolism pathway might affect the progression of BC.
OBJECTIVE:Breast cancer (BC) is a malignant tumor which threat to women's physical and mental health. However, the mechanism of metabolism alteration in BC remains unclear. This study is intended to figure out the relationship between the alternation of metabolism and the progression of BC. METHODS: In this study, metabolites of plasma in 60 BC patients and 40 healthy volunteers were detected using liquid chromatography mass spectrometer (LC-MS). Transcriptomic data were obtained from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) database. Kyoto Encyclopedia of Genes and Genomes (KEGG) database was performed to enrich the pathways. RESULTS: A total of 97 metabolites have been identified and measured, of which 17 compounds exhibited the differential expression between tumor group and control group (p < 0.05; FDR < 0.05). Metabolites set enrichment analysis (MSEA) displayed that there were 12 significantly enriched pathways in all. Through the KEGG database, 382 genes were found closely correlated with the altered metabolic pathways. TCGA and GEO transcriptomic profiling revealed that 5,018 genes significantly changed between tumor group and control group. Integrating these genes with the transcriptomic data from the corresponding KEGG data set, we identified most of the differential expressed genes were related to purine metabolism. A total of 28 different expression genes were hub genes, wherein AMPD1 and RRM2 were significantly effective in the prediction of survival of BC patients, with 0.04 and 0.02, respectively. CONCLUSIONS: Combining with the transcriptomic and metabolomics data, we found that the dysregulation of purine metabolism pathway might affect the progression of BC.
Authors: Alex Ap Rosini Silva; Marcella R Cardoso; Luciana Montes Rezende; John Q Lin; Fernando Guimaraes; Geisilene R Paiva Silva; Michael Murgu; Denise Gonçalves Priolli; Marcos N Eberlin; Alessandra Tata; Livia S Eberlin; Sophie F M Derchain; Andreia M Porcari Journal: Int J Mol Sci Date: 2020-05-20 Impact factor: 5.923
Authors: Leticia Díaz-Beltrán; Carmen González-Olmedo; Natalia Luque-Caro; Caridad Díaz; Ariadna Martín-Blázquez; Mónica Fernández-Navarro; Ana Laura Ortega-Granados; Fernando Gálvez-Montosa; Francisca Vicente; José Pérez Del Palacio; Pedro Sánchez-Rovira Journal: Cancers (Basel) Date: 2021-01-05 Impact factor: 6.639