Hien Thi My Ong, Eda Ates, Oh-Seung Kwon, Min-Jung Kang
{"title":"CYP11A1刺激肾细胞癌天然化合物的筛选","authors":"Hien Thi My Ong, Eda Ates, Oh-Seung Kwon, Min-Jung Kang","doi":"10.1186/s12575-023-00225-y","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Renal cancer therapies are challenging owing to the extensive spreading of this cancer to other organs and its ability to pose resistance to current medications. Therefore, drugs targeting novel targets are urgently required to overcome these challenges. The cholesterol side-chain cleavage enzyme (CYP11A1) is closely associated with steroidogenesis, and its downregulation is linked to adrenal dysfunction and several types of carcinoma. We previously found that overexpression of CYP11A1 inhibited epithelial-mesenchymal transition and induced G2/M arrest in the kidney cancer Caki-1 cell line. In this context, natural compounds that exhibit potent CYP11A1 stimulation activity can be promising therpaeutic agents for kidney cancer.</p><p><strong>Methods: </strong>We screened a panel of 1374 natural compounds in a wound-healing assay using CYP11A1-transfected Caki-1 cells. Of these, 167 promising biologically active compounds that inhibited cancer cell migration by more than 75% were selected, and their half-maximal inhibitory concentrations (IC<sub>50</sub>) were determined. The IC<sub>50</sub> of 159 compounds was determined and 38 compounds with IC<sub>50</sub> values less than 50 µM were selected for further analysis. Steroid hormones (cholesterol and pregnenolone) levels in cells treated with the selected compounds were quantitated using LC-MS/MS to determine their effect on CYP11A1 activity. Western blotting for CYP11A1, autophagy signaling proteins, and ferroptosis regulators were performed to ivestigate the mechanisms underlying the action of the selected compounds.</p><p><strong>Results: </strong>We screened five promising natural lead compounds that inhibited cancer cell proliferation after three screening steps. The IC<sub>50</sub> of these compounds was determined to be between 5.9 and 14.6 μM. These candidate compounds increased the expression of CYP11A1 and suppressed cholesterol levels while increasing pregnenolone levels, which is consistent with the activation of CYP11A1. Our results showed that CYP11A1 activation inhibited the migration of cancer cells, promoted ferroptosis, and triggered autophagy signaling.</p><p><strong>Conclusions: </strong>This study indicates that the CYP11A1-overexpressing Caki-1 cell line is useful for screening drugs against kidney cancer. The two selected compounds could be utilized as lead compounds for anticancer drug discovery, and specifically for the development of antirenal cancer medication.</p>","PeriodicalId":8960,"journal":{"name":"Biological Procedures Online","volume":"25 1","pages":"31"},"PeriodicalIF":3.7000,"publicationDate":"2023-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10687993/pdf/","citationCount":"0","resultStr":"{\"title\":\"Screening of Natural Compounds for CYP11A1 Stimulation Against Cell Renal Cell Carcinoma.\",\"authors\":\"Hien Thi My Ong, Eda Ates, Oh-Seung Kwon, Min-Jung Kang\",\"doi\":\"10.1186/s12575-023-00225-y\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>Renal cancer therapies are challenging owing to the extensive spreading of this cancer to other organs and its ability to pose resistance to current medications. Therefore, drugs targeting novel targets are urgently required to overcome these challenges. The cholesterol side-chain cleavage enzyme (CYP11A1) is closely associated with steroidogenesis, and its downregulation is linked to adrenal dysfunction and several types of carcinoma. We previously found that overexpression of CYP11A1 inhibited epithelial-mesenchymal transition and induced G2/M arrest in the kidney cancer Caki-1 cell line. In this context, natural compounds that exhibit potent CYP11A1 stimulation activity can be promising therpaeutic agents for kidney cancer.</p><p><strong>Methods: </strong>We screened a panel of 1374 natural compounds in a wound-healing assay using CYP11A1-transfected Caki-1 cells. Of these, 167 promising biologically active compounds that inhibited cancer cell migration by more than 75% were selected, and their half-maximal inhibitory concentrations (IC<sub>50</sub>) were determined. The IC<sub>50</sub> of 159 compounds was determined and 38 compounds with IC<sub>50</sub> values less than 50 µM were selected for further analysis. Steroid hormones (cholesterol and pregnenolone) levels in cells treated with the selected compounds were quantitated using LC-MS/MS to determine their effect on CYP11A1 activity. Western blotting for CYP11A1, autophagy signaling proteins, and ferroptosis regulators were performed to ivestigate the mechanisms underlying the action of the selected compounds.</p><p><strong>Results: </strong>We screened five promising natural lead compounds that inhibited cancer cell proliferation after three screening steps. The IC<sub>50</sub> of these compounds was determined to be between 5.9 and 14.6 μM. These candidate compounds increased the expression of CYP11A1 and suppressed cholesterol levels while increasing pregnenolone levels, which is consistent with the activation of CYP11A1. Our results showed that CYP11A1 activation inhibited the migration of cancer cells, promoted ferroptosis, and triggered autophagy signaling.</p><p><strong>Conclusions: </strong>This study indicates that the CYP11A1-overexpressing Caki-1 cell line is useful for screening drugs against kidney cancer. The two selected compounds could be utilized as lead compounds for anticancer drug discovery, and specifically for the development of antirenal cancer medication.</p>\",\"PeriodicalId\":8960,\"journal\":{\"name\":\"Biological Procedures Online\",\"volume\":\"25 1\",\"pages\":\"31\"},\"PeriodicalIF\":3.7000,\"publicationDate\":\"2023-11-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10687993/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Biological Procedures Online\",\"FirstCategoryId\":\"99\",\"ListUrlMain\":\"https://doi.org/10.1186/s12575-023-00225-y\",\"RegionNum\":3,\"RegionCategory\":\"生物学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"BIOCHEMICAL RESEARCH METHODS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Biological Procedures Online","FirstCategoryId":"99","ListUrlMain":"https://doi.org/10.1186/s12575-023-00225-y","RegionNum":3,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"BIOCHEMICAL RESEARCH METHODS","Score":null,"Total":0}
Screening of Natural Compounds for CYP11A1 Stimulation Against Cell Renal Cell Carcinoma.
Background: Renal cancer therapies are challenging owing to the extensive spreading of this cancer to other organs and its ability to pose resistance to current medications. Therefore, drugs targeting novel targets are urgently required to overcome these challenges. The cholesterol side-chain cleavage enzyme (CYP11A1) is closely associated with steroidogenesis, and its downregulation is linked to adrenal dysfunction and several types of carcinoma. We previously found that overexpression of CYP11A1 inhibited epithelial-mesenchymal transition and induced G2/M arrest in the kidney cancer Caki-1 cell line. In this context, natural compounds that exhibit potent CYP11A1 stimulation activity can be promising therpaeutic agents for kidney cancer.
Methods: We screened a panel of 1374 natural compounds in a wound-healing assay using CYP11A1-transfected Caki-1 cells. Of these, 167 promising biologically active compounds that inhibited cancer cell migration by more than 75% were selected, and their half-maximal inhibitory concentrations (IC50) were determined. The IC50 of 159 compounds was determined and 38 compounds with IC50 values less than 50 µM were selected for further analysis. Steroid hormones (cholesterol and pregnenolone) levels in cells treated with the selected compounds were quantitated using LC-MS/MS to determine their effect on CYP11A1 activity. Western blotting for CYP11A1, autophagy signaling proteins, and ferroptosis regulators were performed to ivestigate the mechanisms underlying the action of the selected compounds.
Results: We screened five promising natural lead compounds that inhibited cancer cell proliferation after three screening steps. The IC50 of these compounds was determined to be between 5.9 and 14.6 μM. These candidate compounds increased the expression of CYP11A1 and suppressed cholesterol levels while increasing pregnenolone levels, which is consistent with the activation of CYP11A1. Our results showed that CYP11A1 activation inhibited the migration of cancer cells, promoted ferroptosis, and triggered autophagy signaling.
Conclusions: This study indicates that the CYP11A1-overexpressing Caki-1 cell line is useful for screening drugs against kidney cancer. The two selected compounds could be utilized as lead compounds for anticancer drug discovery, and specifically for the development of antirenal cancer medication.
期刊介绍:
iological Procedures Online publishes articles that improve access to techniques and methods in the medical and biological sciences.
We are also interested in short but important research discoveries, such as new animal disease models.
Topics of interest include, but are not limited to:
Reports of new research techniques and applications of existing techniques
Technical analyses of research techniques and published reports
Validity analyses of research methods and approaches to judging the validity of research reports
Application of common research methods
Reviews of existing techniques
Novel/important product information
Biological Procedures Online places emphasis on multidisciplinary approaches that integrate methodologies from medicine, biology, chemistry, imaging, engineering, bioinformatics, computer science, and systems analysis.