Comparative characterization of 3D chromatin organization in triple-negative breast cancers

被引:16
作者
Kim, Taemook [1 ]
Han, Sungwook [1 ]
Chun, Yujin [1 ]
Yang, Hyeokjun [1 ]
Min, Hyesung [1 ]
Jeon, Sook Young [2 ]
Kim, Jang-il [3 ]
Moon, Hyeong-Gon [3 ]
Lee, Daeyoup [1 ]
机构
[1] Korea Adv Inst Sci & Technol, Dept Biol Sci, Daejeon 34141, South Korea
[2] Kangnam Sacred Heart Hosp, Dept Surg, 1 Shingil Ro, Seoul 07441, South Korea
[3] Seoul Natl Univ, Dept Surg, Coll Med, 103 Daehak Ro, Seoul 03080, South Korea
基金
新加坡国家研究基金会;
关键词
REGULATORY LANDSCAPE; HISTONE-MODIFICATION; GENE-REGULATION; CELL-LINES; CTCF; DOMAINS; GENOME; IDENTIFICATION; ACTIVATION; INSULATION;
D O I
10.1038/s12276-022-00768-2
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
Triple-negative breast cancer (TNBC) is a malignant cancer subtype with a high risk of recurrence and an aggressive phenotype compared to other breast cancer subtypes. Although many breast cancer studies conducted to date have investigated genetic variations and differential target gene expression, how 3D chromatin architectures are reorganized in TNBC has been poorly elucidated. Here, using in situ Hi-C technology, we characterized the 3D chromatin organization in cells representing five distinct subtypes of breast cancer (including TNBC) compared to that in normal cells. We found that the global and local 3D architectures were severely disrupted in breast cancer. TNBC cell lines (especially BT549 cells) showed the most dramatic changes relative to normal cells. Importantly, we detected CTCF-dependent TNBC-susceptible losses/gains of 3D chromatin organization and found that these changes were strongly associated with perturbed chromatin accessibility and transcriptional dysregulation. In TNBC tissue, 3D chromatin disorganization was also observed relative to the 3D chromatin organization in normal tissues. We observed that the perturbed local 3D architectures found in TNBC cells were partially conserved in TNBC tissues. Finally, we discovered distinct tissue-specific chromatin loops by comparing normal and TNBC tissues. In this study, we elucidated the characteristics of the 3D chromatin organization in breast cancer relative to normal cells/tissues at multiple scales and identified associations between disrupted structures and various epigenetic features and transcriptomes. Collectively, our findings reveal important 3D chromatin structural features for future diagnostic and therapeutic studies of TNBC. Cancer: Scrambled genomes found in aggressive breast tumors The 3D architecture of the genome is dramatically altered in an aggressive form of breast cancer, leading to changes in the regulation of gene expression that can fuel tumor growth. A team from South Korea, led by Hyeong-Gon Moon of Seoul National University College of Medicine and Daeyoup Lee of the Korea Advanced Institute of Science and Technology, Daejeon, detailed how chromosomes are positioned and folded within the nucleus of cell liness from five different subtypes of breast cancer. They found that triple-negative breast cancers displayed the most extreme reorganization of their genomes, a pattern also observed in biopsy tissues taken from patients with this subtype of cancer. Knowledge of these conformational changes could inform future efforts to develop therapies and diagnostics for patients with triple-negative breast tumors.
引用
收藏
页码:585 / 600
页数:16
相关论文
共 68 条
[1]   Epigenetic reprogramming at estrogen-receptor binding sites alters 3D chromatin landscape in endocrine-resistant breast cancer [J].
Achinger-Kawecka, Joanna ;
Valdes-Mora, Fatima ;
Luu, Phuc-Loi ;
Giles, Katherine A. ;
Caldon, C. Elizabeth ;
Qu, Wenjia ;
Nair, Shalima ;
Soto, Sebastian ;
Locke, Warwick J. ;
Yeo-Teh, Nicole S. ;
Gould, Cathryn M. ;
Du, Qian ;
Smith, Grady C. ;
Ramos, Irene R. ;
Fernandez, Kristine F. ;
Hoon, Dave S. ;
Gee, Julia M. W. ;
Stirzaker, Clare ;
Clark, Susan J. .
NATURE COMMUNICATIONS, 2020, 11 (01)
[2]   Alterations in Three-Dimensional Organization of the Cancer Genome and Epigenome [J].
Achinger-Kawecka, Joanna ;
Taberlay, Phillippa C. ;
Clark, Susan J. .
TARGETING CANCER, VOL 81, 2016, 2016, 81 :41-51
[3]   Comprehensive analysis of normal adjacent to tumor transcriptomes [J].
Aran, Dvir ;
Camarda, Roman ;
Odegaard, Justin ;
Paik, Hyojung ;
Oskotsky, Boris ;
Krings, Gregor ;
Goga, Andrei ;
Sirota, Marina ;
Butte, Atul J. .
NATURE COMMUNICATIONS, 2017, 8
[4]   RUNX1 contributes to higher-order chromatin organization and gene regulation in breast cancer cells [J].
Barutcu, A. Rasim ;
Hong, Deli ;
Lajoie, Bryan R. ;
McCord, Rachel Patton ;
van Wijnen, Andre J. ;
Lian, Jane B. ;
Stein, Janet L. ;
Dekker, Job ;
Imbalzano, Anthony N. ;
Stein, Gary S. .
BIOCHIMICA ET BIOPHYSICA ACTA-GENE REGULATORY MECHANISMS, 2016, 1859 (11) :1389-1397
[5]   Chromatin interaction analysis reveals changes in small chromosome and telomere clustering between epithelial and breast cancer cells [J].
Barutcu, A. Rasim ;
Lajoie, Bryan R. ;
McCord, Rachel P. ;
Tye, Coralee E. ;
Hong, Deli ;
Messier, Terri L. ;
Browne, Gillian ;
van Wijnen, Andre J. ;
Lian, Jane B. ;
Stein, Janet L. ;
Dekker, Job ;
Imbalzano, Anthony N. ;
Stein, Gary S. .
GENOME BIOLOGY, 2015, 16
[6]   Capture Hi-C identifies putative target genes at 33 breast cancer risk loci [J].
Baxter, Joseph S. ;
Leavy, Olivia C. ;
Dryden, Nicola H. ;
Maguire, Sarah ;
Johnson, Nichola ;
Fedele, Vita ;
Simigdala, Nikiana ;
Martin, Lesley-Ann ;
Andrews, Simon ;
Wingett, Steven W. ;
Assiotis, Ioannis ;
Fenwick, Kerry ;
Chauhan, Ritika ;
Rust, Alistair G. ;
Orr, Nick ;
Dudbridge, Frank ;
Haider, Syed ;
Fletcher, Olivia .
NATURE COMMUNICATIONS, 2018, 9
[7]   Comprehensive Genomic Analysis Identifies Novel Subtypes and Targets of Triple-Negative Breast Cancer [J].
Burstein, Matthew D. ;
Tsimelzon, Anna ;
Poage, Graham M. ;
Coyington, Kyle R. ;
Contreras, Alejandro ;
Fuqua, Suzanne A. W. ;
Sayage, Michelle I. ;
Osborne, C. Kent ;
Hilsenbeck, Susan G. ;
Chang, Jenny C. ;
Mills, Gordon B. ;
Lau, Ching C. ;
Brown, Powel H. .
CLINICAL CANCER RESEARCH, 2015, 21 (07) :1688-1698
[8]   Identification of copy number variations and translocations in cancer cells from Hi-C data [J].
Chakraborty, Abhijit ;
Ay, Ferhat .
BIOINFORMATICS, 2018, 34 (02) :338-345
[9]  
Chen Lu, 2014, Genomics & Informatics, V12, P136, DOI 10.5808/GI.2014.12.4.136
[10]   Single-cell RNA-seq enables comprehensive tumour and immune cell profiling in primary breast cancer [J].
Chung, Woosung ;
Eum, Hye Hyeon ;
Lee, Hae-Ock ;
Lee, Kyung-Min ;
Lee, Han-Byoel ;
Kim, Kyu-Tae ;
Ryu, Han Suk ;
Kim, Sangmin ;
Lee, Jeong Eon ;
Park, Yeon Hee ;
Kan, Zhengyan ;
Han, Wonshik ;
Park, Woong-Yang .
NATURE COMMUNICATIONS, 2017, 8