Pub Date : 2022-08-30DOI: 10.2174/1875692119666220830100021
S. Romano, Miriam Morales, Angélica Aguilar, Susanna Medellín, R. Milán, José Cruz, José Zermeño, Alejandra Segarra
Tamoxifen (TAM) is commonly prescribed as adjuvant therapy in women with estrogen receptor-positive breast cancer. Unfortunately, not all patients respond adequately to this drug. This variation in pharmacological response has been associated with different factors, including genetic polymorphisms of enzymes responsible for the metabolism of TAM. To determine the concentrations of tamoxifen (TAM) and its main metabolites in Mexican women with breast cancer and to evaluate its relationship with genetic, demographic and anthropometric characteristics. Eighty-four patients with a mean age of 49.3 (± 8.8) years were included in the study. Plasma concentrations of TAM and its metabolites N-desmethyl-tamoxifen (NDT), 4-hydroxy-tamoxifen (4HT) and endoxifen (END) were determined in predose for each patient. CYP2D6 * 4, * 10 and CYP3A5 * 3 genetic polymorphisms were characterized. Demographic, anthropometric, biochemical and clinical data were recorded for each patient. Plasma concentrations of 4HT and END were higher in the extensive metabolizer (EM) phenotype than in the intermediate metabolizer (IM) phenotype (p<0.05). The metabolic ratio (MR) [END+4HT]/[TAM+NDT] were lower in patients with the CYP2D6 IM phenotype than those with the EM phenotype (p= 0.014). Regarding anthropometric factors, a positive correlation was found for 4HT and END respect to age (R = 0.256 and 0.232, respectively). The body mass index (BMI) presented a statistically significant correlation with the concentrations of NDT (R=-0.351) and 4HT (R=-0.298). CYP2D6 phenotype, age and BMI could help to explain part of the interindividual variability of TAM plasma levels and its metabolites in the Mexican population.
{"title":"Factors Associated with Plasma Levels of Tamoxifen and its Main Metabolites in Mexican Patients with Breast Cancer","authors":"S. Romano, Miriam Morales, Angélica Aguilar, Susanna Medellín, R. Milán, José Cruz, José Zermeño, Alejandra Segarra","doi":"10.2174/1875692119666220830100021","DOIUrl":"https://doi.org/10.2174/1875692119666220830100021","url":null,"abstract":"\u0000\u0000Tamoxifen (TAM) is commonly prescribed as adjuvant therapy in women with estrogen receptor-positive breast cancer. Unfortunately, not all patients respond adequately to this drug. This variation in pharmacological response has been associated with different factors, including genetic polymorphisms of enzymes responsible for the metabolism of TAM.\u0000\u0000\u0000\u0000To determine the concentrations of tamoxifen (TAM) and its main metabolites in Mexican women with breast cancer and to evaluate its relationship with genetic, demographic and anthropometric characteristics.\u0000\u0000\u0000\u0000Eighty-four patients with a mean age of 49.3 (± 8.8) years were included in the study. Plasma concentrations of TAM and its metabolites N-desmethyl-tamoxifen (NDT), 4-hydroxy-tamoxifen (4HT) and endoxifen (END) were determined in predose for each patient. CYP2D6 * 4, * 10 and CYP3A5 * 3 genetic polymorphisms were characterized. Demographic, anthropometric, biochemical and clinical data were recorded for each patient.\u0000\u0000\u0000\u0000Plasma concentrations of 4HT and END were higher in the extensive metabolizer (EM) phenotype than in the intermediate metabolizer (IM) phenotype (p<0.05). The metabolic ratio (MR) [END+4HT]/[TAM+NDT] were lower in patients with the CYP2D6 IM phenotype than those with the EM phenotype (p= 0.014). Regarding anthropometric factors, a positive correlation was found for 4HT and END respect to age (R = 0.256 and 0.232, respectively). The body mass index (BMI) presented a statistically significant correlation with the concentrations of NDT (R=-0.351) and 4HT (R=-0.298).\u0000\u0000\u0000\u0000CYP2D6 phenotype, age and BMI could help to explain part of the interindividual variability of TAM plasma levels and its metabolites in the Mexican population.\u0000","PeriodicalId":11056,"journal":{"name":"Current Pharmacogenomics and Personalized Medicine","volume":"70 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85981732","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-06-17DOI: 10.2174/1875692119666220617160537
L. C, K. P K
To discover the most effective anti-cancer medicine for cancer patients who are infected with SARS-Cov-2. The correlation between TP53 and SARS-CoV-2 was discovered using biomolecular networking analysis. Cancer patients with TP53 gene mutations are more likely to be infected with the SARS-Cov-2 virus since it is the most frequently mutated tumor suppressor gene in human cancer. The main goal of this study is to discover the most effective and efficient anti-cancer therapy for patients with SARS-Cov-2 infection. Topp gene analysis was used to prioritize candidate genes based on molecular function, biological process, and pathway analysis. Biomolecular networking was carried out using Cytoscape 2.8.2. The Protein-protein Interaction network was used to identify the functionally associated proteins. Protein-Drug Interaction network was used to observe the molecular therapeutic efficiency of drugs. The network was further analyzed using Cytohubba to find the hub nodes. The molecular docking was used to study the protein-ligand interaction and the protein-ligand complex was further evaluated through molecular dynamic simulation to determine its stability. Functionally relevant genes were prioritized through Toppgene analysis. Through Cytohabba study it was found that the genes UBE2N, BRCA1, BARD1, TP53, and DPP4 was having a high degree and centrality score. The drugs 5-fluorouracil, Methotrexate, Temozolomide, Favipiravir, and Levofloxacin have a substantial association with the hub protei, according to protein-drug interaction analysis. Finally, a docking study revealed that 5-fluorouracil have the highest connection value and stability when compared to Methotrexate, Favipiravir, and Levofloxacin. The biomolecular networking study used to discover the link between TP53 and SARS-CoV-2 found that 5-fluorouracil, had a higher affinity for binding to TP53 and its related genes, such as UBE2N, BRCA1, RARD1, and SARS-CoV-2 specific DPP4. For cancer patients with TP53 gene mutations and covid 19 infection, these treatments were determined to be the most effective.
{"title":"The Tp53 Gene And Covid 19 Virus: A Correlation Analysis","authors":"L. C, K. P K","doi":"10.2174/1875692119666220617160537","DOIUrl":"https://doi.org/10.2174/1875692119666220617160537","url":null,"abstract":"\u0000\u0000To discover the most effective anti-cancer medicine for cancer patients who are infected with SARS-Cov-2.\u0000\u0000\u0000\u0000The correlation between TP53 and SARS-CoV-2 was discovered using biomolecular networking analysis.\u0000\u0000\u0000\u0000Cancer patients with TP53 gene mutations are more likely to be infected with the SARS-Cov-2 virus since it is the most frequently mutated tumor suppressor gene in human cancer. The main goal of this study is to discover the most effective and efficient anti-cancer therapy for patients with SARS-Cov-2 infection.\u0000\u0000\u0000\u0000Topp gene analysis was used to prioritize candidate genes based on molecular function, biological process, and pathway analysis. Biomolecular networking was carried out using Cytoscape 2.8.2. The Protein-protein Interaction network was used to identify the functionally associated proteins. Protein-Drug Interaction network was used to observe the molecular therapeutic efficiency of drugs. The network was further analyzed using Cytohubba to find the hub nodes. The molecular docking was used to study the protein-ligand interaction and the protein-ligand complex was further evaluated through molecular dynamic simulation to determine its stability.\u0000\u0000\u0000\u0000Functionally relevant genes were prioritized through Toppgene analysis. Through Cytohabba study it was found that the genes UBE2N, BRCA1, BARD1, TP53, and DPP4 was having a high degree and centrality score. The drugs 5-fluorouracil, Methotrexate, Temozolomide, Favipiravir, and Levofloxacin have a substantial association with the hub protei, according to protein-drug interaction analysis. Finally, a docking study revealed that 5-fluorouracil have the highest connection value and stability when compared to Methotrexate, Favipiravir, and Levofloxacin.\u0000\u0000\u0000\u0000The biomolecular networking study used to discover the link between TP53 and SARS-CoV-2 found that 5-fluorouracil, had a higher affinity for binding to TP53 and its related genes, such as UBE2N, BRCA1, RARD1, and SARS-CoV-2 specific DPP4. For cancer patients with TP53 gene mutations and covid 19 infection, these treatments were determined to be the most effective.\u0000","PeriodicalId":11056,"journal":{"name":"Current Pharmacogenomics and Personalized Medicine","volume":"18 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-06-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81722922","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}