{"title":"卵巢癌与肿瘤微环境之间的代谢串扰为癌症治疗提供潜在靶点。","authors":"Y. Lin, Xiao Liang, Xijie Zhang, Yanghong Ni, Xiaoting Zhou, Xia Zhao","doi":"10.31083/j.fbl2704139","DOIUrl":null,"url":null,"abstract":"Conventional treatments for ovarian cancer, including debulking cytoreductive surgery combined with carboplatin/paclitaxel-based chemotherapy, are insufficient, as evidenced by the high mortality rate, which ranks first among gynecological tumors. Therefore, there is an urgent need to develop new and effective treatment strategies. Recent evidence has shown that metabolic processes and cell behaviors in ovarian cancer are regulated by intracellular factors as well as metabolites in the tumor microenvironment (TME), which determine occurrence, proliferation, and metastasis. In this review, we describe the comprehensive landscape of metabolic cross-talk between ovarian cancer and its TME with a focus on the following four aspects: (1) intracellular metabolism based on the Warburg effect, (2) metabolism in non-tumor cells in the ovarian TME, (3) metabolic communication between tumor cells and non-tumor cells in the TME, and (4) metabolism-related therapeutic targets and agents for ovarian cancer. The metabolic cross-talk between ovarian cancer and its microenvironment involves a complex network of interactions, and interrupting these interactions by metabolic interventions is a promising therapeutic strategy.","PeriodicalId":50430,"journal":{"name":"Frontiers in Bioscience-Landmark","volume":null,"pages":null},"PeriodicalIF":3.1000,"publicationDate":"2022-04-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Metabolic cross-talk between ovarian cancer and the tumor microenvironment-providing potential targets for cancer therapy.\",\"authors\":\"Y. Lin, Xiao Liang, Xijie Zhang, Yanghong Ni, Xiaoting Zhou, Xia Zhao\",\"doi\":\"10.31083/j.fbl2704139\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Conventional treatments for ovarian cancer, including debulking cytoreductive surgery combined with carboplatin/paclitaxel-based chemotherapy, are insufficient, as evidenced by the high mortality rate, which ranks first among gynecological tumors. Therefore, there is an urgent need to develop new and effective treatment strategies. Recent evidence has shown that metabolic processes and cell behaviors in ovarian cancer are regulated by intracellular factors as well as metabolites in the tumor microenvironment (TME), which determine occurrence, proliferation, and metastasis. In this review, we describe the comprehensive landscape of metabolic cross-talk between ovarian cancer and its TME with a focus on the following four aspects: (1) intracellular metabolism based on the Warburg effect, (2) metabolism in non-tumor cells in the ovarian TME, (3) metabolic communication between tumor cells and non-tumor cells in the TME, and (4) metabolism-related therapeutic targets and agents for ovarian cancer. The metabolic cross-talk between ovarian cancer and its microenvironment involves a complex network of interactions, and interrupting these interactions by metabolic interventions is a promising therapeutic strategy.\",\"PeriodicalId\":50430,\"journal\":{\"name\":\"Frontiers in Bioscience-Landmark\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":3.1000,\"publicationDate\":\"2022-04-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Frontiers in Bioscience-Landmark\",\"FirstCategoryId\":\"99\",\"ListUrlMain\":\"https://doi.org/10.31083/j.fbl2704139\",\"RegionNum\":4,\"RegionCategory\":\"生物学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"Immunology and Microbiology\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Frontiers in Bioscience-Landmark","FirstCategoryId":"99","ListUrlMain":"https://doi.org/10.31083/j.fbl2704139","RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"Immunology and Microbiology","Score":null,"Total":0}
Metabolic cross-talk between ovarian cancer and the tumor microenvironment-providing potential targets for cancer therapy.
Conventional treatments for ovarian cancer, including debulking cytoreductive surgery combined with carboplatin/paclitaxel-based chemotherapy, are insufficient, as evidenced by the high mortality rate, which ranks first among gynecological tumors. Therefore, there is an urgent need to develop new and effective treatment strategies. Recent evidence has shown that metabolic processes and cell behaviors in ovarian cancer are regulated by intracellular factors as well as metabolites in the tumor microenvironment (TME), which determine occurrence, proliferation, and metastasis. In this review, we describe the comprehensive landscape of metabolic cross-talk between ovarian cancer and its TME with a focus on the following four aspects: (1) intracellular metabolism based on the Warburg effect, (2) metabolism in non-tumor cells in the ovarian TME, (3) metabolic communication between tumor cells and non-tumor cells in the TME, and (4) metabolism-related therapeutic targets and agents for ovarian cancer. The metabolic cross-talk between ovarian cancer and its microenvironment involves a complex network of interactions, and interrupting these interactions by metabolic interventions is a promising therapeutic strategy.
期刊介绍:
FBL is an international peer-reviewed open access journal of biological and medical science. FBL publishes state of the art advances in any discipline in the area of biology and medicine, including biochemistry and molecular biology, parasitology, virology, immunology, epidemiology, microbiology, entomology, botany, agronomy, as well as basic medicine, preventive medicine, bioinformatics and other related topics.