Journal of Biomedical Research & Environmental Sciences最新文献

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Vernonia amygdalina Delile Induces Apoptotic Effects of PC3 Cells: Implication in the Prevention of Prostate Cancer. 苦杏仁果诱导PC3细胞凋亡:对前列腺癌预防的启示。
Journal of Biomedical Research & Environmental Sciences Pub Date : 2022-10-01 DOI: 10.37871/jbres1564
Clement G Yedjou, William Johnson, Solange S Tchounwou, Shaloam Dasari, Sylvianne Njiki, Paul B Tchounwou
{"title":"<i>Vernonia amygdalina</i> Delile Induces Apoptotic Effects of PC3 Cells: Implication in the Prevention of Prostate Cancer.","authors":"Clement G Yedjou,&nbsp;William Johnson,&nbsp;Solange S Tchounwou,&nbsp;Shaloam Dasari,&nbsp;Sylvianne Njiki,&nbsp;Paul B Tchounwou","doi":"10.37871/jbres1564","DOIUrl":"https://doi.org/10.37871/jbres1564","url":null,"abstract":"<p><strong>Background: </strong>Prostate cancer (PCa) is one of the common cancers in males and its incidence keeps increasing globally. Approximately 81% of PCa is diagnosed during the early stage of the disease. The treatment options for prostate care include surgery, radiotherapy, and chemotherapy, but these treatments often have side effects that may lead to issues such as impotence or decreased bowel function. Our central goal is to test the apoptotic effects of <i>Vernonia amygdalina</i> Delile (an edible medicinal plant that is relatively inexpensive, nontoxic, and virtually without side effects) for the prevention of PCa using human adenocarcinoma (PC-3) cells as a test model.</p><p><strong>Methods: </strong>To address our central goal, PC-3 cells were treated with <i>Vernonia amygdalina</i> Delile (VAD). Cell cycle arrest and cell apoptosis were evaluated by Flow Cytometry assessment. Nucleosomal DNA fragmentation was detected by agarose gel electrophoresis.</p><p><strong>Results: </strong>Flow cytometry data showed that VAD induced cell cycle arrest at the G0/G1 checkpoint and significantly upregulated caspase-3 in treated cells compared to the control cells. Agarose gel electrophoresis resulted in the formation of DNA ladders in VAD-treated cells.</p><p><strong>Conclusions: </strong>These results suggest that inhibition of cancer cell growth, induction of cell cycle arrest, and apoptosis through caspase-3 activation and nucleosomal DNA fragmentation are involved in the therapeutic mechanisms of VAD as a candidate drug towards the prevention and/or treatment of PCa.</p>","PeriodicalId":15162,"journal":{"name":"Journal of Biomedical Research & Environmental Sciences","volume":"3 9","pages":"1118-1124"},"PeriodicalIF":0.0,"publicationDate":"2022-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9793873/pdf/nihms-1841700.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10800170","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Improving Invasive Breast Cancer Care Using Machine Learning Technology. 利用机器学习技术改善浸润性乳腺癌护理。
Journal of Biomedical Research & Environmental Sciences Pub Date : 2022-08-01 Epub Date: 2022-08-30
Clement G Yedjou, Solange S Tchounwou, Jameka Grigsby, Kearra Johnson, Paul B Tchounwou
{"title":"Improving Invasive Breast Cancer Care Using Machine Learning Technology.","authors":"Clement G Yedjou, Solange S Tchounwou, Jameka Grigsby, Kearra Johnson, Paul B Tchounwou","doi":"","DOIUrl":"","url":null,"abstract":"<p><p>Breast cancer (BC) is the most common malignancy in women worldwide. In the United States, the lifetime risk of developing an invasive form of breast cancer is 12.5% among women. BC arises in the lining cells (epithelium) of the ducts or lobules in the glandular tissue of the breast. The goal of the present study was to use machine learning (ML) as a novel technology to assess and compare the invasive forms of BC including, infiltrating ductal carcinoma, infiltrating lobular carcinoma, and mucinous carcinoma. To achieve this goal, we used ML algorithms and collected a dataset of 334 BC patients available at https://www.kaggle.com/amandam1/breastcancerdataset and interpreted this dataset based on the form of BC, age, sex, tumor stages, surgery type, and survival rate. Among the 334 patients, 70% were diagnosed with infiltrating ductal carcinoma, 27% with infiltrating lobular carcinoma, and 3% with mucinous carcinoma. Overall, out of 334 BC patients: 64 (19.16%) were in stage I, 189 (56.59%) in stage II, and 81 (24.25%) in stage III. Sixty-six, 67, 96, and 105 patients underwent lumpectomy, simple mastectomy, modified radical mastectomy, and other types of surgery, respectively. The survival rates were 83.4% for stage I, 79.1% for stage II, and 77% for stage III. Findings from the present study demonstrated that ML provides an important tool to curate large amount of BC data, as well as a scientific means to improve BC outcomes.</p>","PeriodicalId":15162,"journal":{"name":"Journal of Biomedical Research & Environmental Sciences","volume":"3 8","pages":"980-984"},"PeriodicalIF":0.0,"publicationDate":"2022-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9520759/pdf/nihms-1837289.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"40389963","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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