Katherine E. Lake, Megan M. Colonnetta, Clayton A. Smith, Kaitlyn Saunders, Kenneth Martinez-Algarin, Sakshi Mohta, Jacob Pena, Heather L Mcarthur, Sangeetha M. Reddy, E. R. Roussos Torres, Elizabeth Chen, Isaac S. Chan
{"title":"对小鼠乳腺肿瘤生成的有机体进行数字液滴 PCR 分析,证明了捕捉肿瘤异质性的概念验证","authors":"Katherine E. Lake, Megan M. Colonnetta, Clayton A. Smith, Kaitlyn Saunders, Kenneth Martinez-Algarin, Sakshi Mohta, Jacob Pena, Heather L Mcarthur, Sangeetha M. Reddy, E. R. Roussos Torres, Elizabeth Chen, Isaac S. Chan","doi":"10.3389/fcell.2024.1358583","DOIUrl":null,"url":null,"abstract":"Breast cancer metastases exhibit many different genetic alterations, including copy number amplifications (CNA). CNA are genetic alterations that are increasingly becoming relevant to breast oncology clinical practice. Here we identify CNA in metastatic breast tumor samples using publicly available datasets and characterize their expression and function using a metastatic mouse model of breast cancer. Our findings demonstrate that our organoid generation can be implemented to study clinically relevant features that reflect the genetic heterogeneity of individual tumors.","PeriodicalId":502752,"journal":{"name":"Frontiers in Cell and Developmental Biology","volume":"48 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Digital droplet PCR analysis of organoids generated from mouse mammary tumors demonstrates proof-of-concept capture of tumor heterogeneity\",\"authors\":\"Katherine E. Lake, Megan M. Colonnetta, Clayton A. Smith, Kaitlyn Saunders, Kenneth Martinez-Algarin, Sakshi Mohta, Jacob Pena, Heather L Mcarthur, Sangeetha M. Reddy, E. R. Roussos Torres, Elizabeth Chen, Isaac S. Chan\",\"doi\":\"10.3389/fcell.2024.1358583\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Breast cancer metastases exhibit many different genetic alterations, including copy number amplifications (CNA). CNA are genetic alterations that are increasingly becoming relevant to breast oncology clinical practice. Here we identify CNA in metastatic breast tumor samples using publicly available datasets and characterize their expression and function using a metastatic mouse model of breast cancer. Our findings demonstrate that our organoid generation can be implemented to study clinically relevant features that reflect the genetic heterogeneity of individual tumors.\",\"PeriodicalId\":502752,\"journal\":{\"name\":\"Frontiers in Cell and Developmental Biology\",\"volume\":\"48 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-05-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Frontiers in Cell and Developmental Biology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.3389/fcell.2024.1358583\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Frontiers in Cell and Developmental Biology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3389/fcell.2024.1358583","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Digital droplet PCR analysis of organoids generated from mouse mammary tumors demonstrates proof-of-concept capture of tumor heterogeneity
Breast cancer metastases exhibit many different genetic alterations, including copy number amplifications (CNA). CNA are genetic alterations that are increasingly becoming relevant to breast oncology clinical practice. Here we identify CNA in metastatic breast tumor samples using publicly available datasets and characterize their expression and function using a metastatic mouse model of breast cancer. Our findings demonstrate that our organoid generation can be implemented to study clinically relevant features that reflect the genetic heterogeneity of individual tumors.