Michael D. Iglesia, Reyka G. Jayasinghe, Siqi Chen, Nadezhda V. Terekhanova, John M. Herndon, Erik Storrs, Alla Karpova, Daniel Cui Zhou, Nataly Naser Al Deen, Andrew T. Shinkle, Rita Jui-Hsien Lu, Wagma Caravan, Andrew Houston, Yanyan Zhao, Kazuhito Sato, Preet Lal, Cherease Street, Fernanda Martins Rodrigues, Austin N. Southard-Smith, André Luiz N. Targino da Costa, Houxiang Zhu, Chia-Kuei Mo, Lisa Crowson, Robert S. Fulton, Matthew A. Wyczalkowski, Catrina C. Fronick, Lucinda A. Fulton, Hua Sun, Sherri R. Davies, Elizabeth L. Appelbaum, Sara E. Chasnoff, Madelyn Carmody, Candace Brooks, Ruiyang Liu, Michael C. Wendl, Clara Oh, Diane Bender, Carlos Cruchaga, Oscar Harari, Andrea Bredemeyer, Kory Lavine, Ron Bose, Julie Margenthaler, Jason M. Held, Samuel Achilefu, Foluso Ademuyiwa, Rebecca Aft, Cynthia Ma, Graham A. Colditz, Tao Ju, Stephen T. Oh, James Fitzpatrick, E. Shelley Hwang, Kooresh I. Shoghi, Milan G. Chheda, Deborah J. Veis, Feng Chen, Ryan C. Fields, William E. Gillanders, Li Ding
{"title":"Differential chromatin accessibility and transcriptional dynamics define breast cancer subtypes and their lineages","authors":"Michael D. Iglesia, Reyka G. Jayasinghe, Siqi Chen, Nadezhda V. Terekhanova, John M. Herndon, Erik Storrs, Alla Karpova, Daniel Cui Zhou, Nataly Naser Al Deen, Andrew T. Shinkle, Rita Jui-Hsien Lu, Wagma Caravan, Andrew Houston, Yanyan Zhao, Kazuhito Sato, Preet Lal, Cherease Street, Fernanda Martins Rodrigues, Austin N. Southard-Smith, André Luiz N. Targino da Costa, Houxiang Zhu, Chia-Kuei Mo, Lisa Crowson, Robert S. Fulton, Matthew A. Wyczalkowski, Catrina C. Fronick, Lucinda A. Fulton, Hua Sun, Sherri R. Davies, Elizabeth L. Appelbaum, Sara E. Chasnoff, Madelyn Carmody, Candace Brooks, Ruiyang Liu, Michael C. Wendl, Clara Oh, Diane Bender, Carlos Cruchaga, Oscar Harari, Andrea Bredemeyer, Kory Lavine, Ron Bose, Julie Margenthaler, Jason M. Held, Samuel Achilefu, Foluso Ademuyiwa, Rebecca Aft, Cynthia Ma, Graham A. Colditz, Tao Ju, Stephen T. Oh, James Fitzpatrick, E. Shelley Hwang, Kooresh I. Shoghi, Milan G. Chheda, Deborah J. Veis, Feng Chen, Ryan C. Fields, William E. Gillanders, Li Ding","doi":"10.1038/s43018-024-00773-6","DOIUrl":null,"url":null,"abstract":"Breast cancer (BC) is defined by distinct molecular subtypes with different cells of origin. The transcriptional networks that characterize the subtype-specific tumor-normal lineages are not established. In this work, we applied bulk, single-cell and single-nucleus multi-omic techniques as well as spatial transcriptomics and multiplex imaging on 61 samples from 37 patients with BC to show characteristic links in gene expression and chromatin accessibility between BC subtypes and their putative cells of origin. Regulatory network analysis of transcription factors underscored the importance of BHLHE40 in luminal BC and luminal mature cells and KLF5 in basal-like tumors and luminal progenitor cells. Furthermore, we identify key genes defining the basal-like (SOX6 and KCNQ3) and luminal A/B (FAM155A and LRP1B) lineages. Exhausted CTLA4-expressing CD8+ T cells were enriched in basal-like BC, suggesting an altered means of immune dysfunction. These findings demonstrate analysis of paired transcription and chromatin accessibility at the single-cell level is a powerful tool for investigating cancer lineage and highlight transcriptional networks that define basal and luminal BC lineages. Ding and colleagues use bulk, single-cell and single-nucleus multi-omics together with spatial transcriptomics and multiplex imaging of clinical tumor samples to characterize gene expression and chromatin accessibility of breast cancer lineages.","PeriodicalId":18885,"journal":{"name":"Nature cancer","volume":"5 11","pages":"1713-1736"},"PeriodicalIF":23.5000,"publicationDate":"2024-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.nature.com/articles/s43018-024-00773-6.pdf","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Nature cancer","FirstCategoryId":"3","ListUrlMain":"https://www.nature.com/articles/s43018-024-00773-6","RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ONCOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Breast cancer (BC) is defined by distinct molecular subtypes with different cells of origin. The transcriptional networks that characterize the subtype-specific tumor-normal lineages are not established. In this work, we applied bulk, single-cell and single-nucleus multi-omic techniques as well as spatial transcriptomics and multiplex imaging on 61 samples from 37 patients with BC to show characteristic links in gene expression and chromatin accessibility between BC subtypes and their putative cells of origin. Regulatory network analysis of transcription factors underscored the importance of BHLHE40 in luminal BC and luminal mature cells and KLF5 in basal-like tumors and luminal progenitor cells. Furthermore, we identify key genes defining the basal-like (SOX6 and KCNQ3) and luminal A/B (FAM155A and LRP1B) lineages. Exhausted CTLA4-expressing CD8+ T cells were enriched in basal-like BC, suggesting an altered means of immune dysfunction. These findings demonstrate analysis of paired transcription and chromatin accessibility at the single-cell level is a powerful tool for investigating cancer lineage and highlight transcriptional networks that define basal and luminal BC lineages. Ding and colleagues use bulk, single-cell and single-nucleus multi-omics together with spatial transcriptomics and multiplex imaging of clinical tumor samples to characterize gene expression and chromatin accessibility of breast cancer lineages.
乳腺癌(BC)的分子亚型不同,起源细胞也不同。表征亚型特异性肿瘤-正常细胞系的转录网络尚未建立。在这项工作中,我们对来自 37 名 BC 患者的 61 份样本应用了批量、单细胞和单核多组学技术以及空间转录组学和多重成像技术,以显示 BC 亚型与其推测的起源细胞之间在基因表达和染色质可及性方面的特征性联系。转录因子的调控网络分析强调了BHLHE40在管腔型BC和管腔成熟细胞中的重要性,以及KLF5在基底样肿瘤和管腔祖细胞中的重要性。此外,我们还发现了定义基底样(SOX6和KCNQ3)和管腔A/B(FAM155A和LRP1B)系的关键基因。衰竭的 CTLA4 表达 CD8+ T 细胞富集在基底样 BC 中,这表明免疫功能障碍的方式发生了改变。这些研究结果表明,在单细胞水平分析配对转录和染色质可及性是研究癌症谱系的有力工具,并突显了定义基底型和管腔型BC谱系的转录网络。
期刊介绍:
Cancer is a devastating disease responsible for millions of deaths worldwide. However, many of these deaths could be prevented with improved prevention and treatment strategies. To achieve this, it is crucial to focus on accurate diagnosis, effective treatment methods, and understanding the socioeconomic factors that influence cancer rates.
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