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Xu X, Gan J, Gao Z, Li R, Huang D, Lin L, Luo Y, Yang Q, Xu J, Li Y, Fang Q, Peng T, Wang Y, Xu Z, Huang A, Hong H, Lei F, Huang W, Leng J, Li T, Bo X, Chen H, Li C, Gu J. 3D genome landscape of primary and metastatic colorectal carcinoma reveals the regulatory mechanism of tumorigenic and metastatic gene expression. Commun Biol 2025; 8:365. [PMID: 40038385 PMCID: PMC11880527 DOI: 10.1038/s42003-025-07647-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2024] [Accepted: 01/31/2025] [Indexed: 03/06/2025] Open
Abstract
Colorectal carcinoma (CRC) is a deadly cancer with an aggressive nature, and how CRC tumor cells manage to translocate and proliferate in a new tissue environment remains not fully understood. Recently, higher-order chromatin structures and spatial genome organization are increasingly implicated in diseases including cancer, but in-depth studies of three-dimensional genome (3D genome) of metastatic cancer are currently lacking, preventing the understanding of the roles of genome organization during metastasis. Here we perform multi-omics profiling of matched normal colon, primary tumor, lymph node metastasis, liver metastasis and normal liver tissue from CRC patients using Hi-C, ATAC-seq and RNA-seq technologies. We find that widespread alteration of 3D chromatin structure is accompanied by dysregulation of genes including SPP1 during the tumorigenesis or metastasis of CRC. Remarkably, the hierarchy of topological associating domain (TAD) changes dynamically, which challenges the traditional view that the TAD structure between tumor and normal tissue is conservative. In addition, we define compartment stability score to measure large-scale alteration in metastatic tumors. To integrate multi-omics data and recognize candidate genes driving cancer metastasis, a pipeline is developed based on Hi-C, RNA-seq and ATAC-seq data. And three candidate genes ARL4C, FLNA, and RGCC are validated to be associated with CRC cell migration and invasion using in vitro knockout experiments. Overall, these data resources and results offer new insights into the involvement of 3D genome in cancer metastasis.
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Affiliation(s)
- Xiang Xu
- Department of Gastrointestinal Surgery, Peking University Shougang Hospital, Beijing, China
- Academy of Military Medical Sciences, Beijing, China
| | - Jingbo Gan
- Center for Bioinformatics, School of Life Sciences, Center for Statistical Science, Peking University, Beijing, China
| | - Zhaoya Gao
- Department of Gastrointestinal Surgery, Peking University Shougang Hospital, Beijing, China
- Center for Precision Diagnosis and Treatment of Colorectal Carcinoma and Inflammatory Diseases, Peking University Health Science Center, Beijing, China
| | - Ruifeng Li
- Center for Bioinformatics, School of Life Sciences, Center for Statistical Science, Peking University, Beijing, China
| | - Dandan Huang
- Center for Precision Diagnosis and Treatment of Colorectal Carcinoma and Inflammatory Diseases, Peking University Health Science Center, Beijing, China
- Department of Oncology, Peking University Shougang Hospital, Beijing, China
| | - Lin Lin
- Academy of Military Medical Sciences, Beijing, China
| | - Yawen Luo
- Academy of Military Medical Sciences, Beijing, China
| | - Qian Yang
- Academy of Military Medical Sciences, Beijing, China
| | - Jingxuan Xu
- Department of Gastrointestinal Surgery, Peking University Shougang Hospital, Beijing, China
| | - Yaru Li
- Academy of Military Medical Sciences, Beijing, China
| | - Qing Fang
- Center for Bioinformatics, School of Life Sciences, Center for Statistical Science, Peking University, Beijing, China
| | - Ting Peng
- Center for Bioinformatics, School of Life Sciences, Center for Statistical Science, Peking University, Beijing, China
| | - Yaqi Wang
- Center for Bioinformatics, School of Life Sciences, Center for Statistical Science, Peking University, Beijing, China
| | - Zihan Xu
- Center for Bioinformatics, School of Life Sciences, Center for Statistical Science, Peking University, Beijing, China
| | - An Huang
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Gastrointestinal Surgery, Peking University Cancer Hospital & Institute, Beijing, China
| | - Haopeng Hong
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Gastrointestinal Surgery, Peking University Cancer Hospital & Institute, Beijing, China
| | - Fuming Lei
- Department of Gastrointestinal Surgery, Peking University Shougang Hospital, Beijing, China
- Center for Precision Diagnosis and Treatment of Colorectal Carcinoma and Inflammatory Diseases, Peking University Health Science Center, Beijing, China
| | - Wensheng Huang
- Department of Gastrointestinal Surgery, Peking University Shougang Hospital, Beijing, China
- Center for Precision Diagnosis and Treatment of Colorectal Carcinoma and Inflammatory Diseases, Peking University Health Science Center, Beijing, China
| | - Jianjun Leng
- Center for Precision Diagnosis and Treatment of Colorectal Carcinoma and Inflammatory Diseases, Peking University Health Science Center, Beijing, China
- Department of Hepatopancreatobiliary Surgery, Peking University Shougang Hospital, Beijing, China
| | - Tingting Li
- Center for Bioinformatics, School of Life Sciences, Center for Statistical Science, Peking University, Beijing, China
- State Key Laboratory of Proteomics, Institute of Basic Medical Sciences, National Center of Biomedical Analysis, Beijing, China
| | - Xiaochen Bo
- Academy of Military Medical Sciences, Beijing, China
| | - Hebing Chen
- Academy of Military Medical Sciences, Beijing, China.
| | - Cheng Li
- Center for Bioinformatics, School of Life Sciences, Center for Statistical Science, Peking University, Beijing, China.
| | - Jin Gu
- Department of Gastrointestinal Surgery, Peking University Shougang Hospital, Beijing, China.
- Center for Precision Diagnosis and Treatment of Colorectal Carcinoma and Inflammatory Diseases, Peking University Health Science Center, Beijing, China.
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Gastrointestinal Surgery, Peking University Cancer Hospital & Institute, Beijing, China.
- Peking-Tsinghua Center for Life Sciences, Peking University, Beijing, China.
- Peking University International Cancer Institute, Beijing, China.
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Raynal F, Sengupta K, Plewczynski D, Aliaga B, Pancaldi V. Global chromatin reorganization and regulation of genes with specific evolutionary ages during differentiation and cancer. Nucleic Acids Res 2025; 53:gkaf084. [PMID: 39964480 PMCID: PMC11833689 DOI: 10.1093/nar/gkaf084] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2024] [Revised: 01/18/2025] [Accepted: 02/07/2025] [Indexed: 02/21/2025] Open
Abstract
Cancer cells are highly plastic, favoring adaptation to changing conditions. Genes related to basic cellular processes evolved in ancient species, while more specialized genes appeared later with multicellularity (metazoan genes) or even after mammals evolved. Transcriptomic analyses have shown that ancient genes are up-regulated in cancer, while metazoan-origin genes are inactivated. Despite the importance of these observations, the underlying mechanisms remain unexplored. Here, we study local and global epigenomic mechanisms that may regulate genes from specific evolutionary periods. Using evolutionary gene age data, we characterize the epigenomic landscape, gene expression regulation, and chromatin organization in several cell types: human embryonic stem cells, normal primary B-cells, primary chronic lymphocytic leukemia malignant B-cells, and primary colorectal cancer samples. We identify topological changes in chromatin organization during differentiation observing patterns in Polycomb repression and RNA polymerase II pausing, which are reversed during oncogenesis. Beyond the non-random organization of genes and chromatin features in the 3D epigenome, we suggest that these patterns lead to preferential interactions among ancient, intermediate, and recent genes, mediated by RNA polymerase II, Polycomb, and the lamina, respectively. Our findings shed light on gene regulation according to evolutionary age and suggest this organization changes across differentiation and oncogenesis.
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Affiliation(s)
- Flavien Raynal
- CRCT, Université de Toulouse, Inserm, CNRS, Université Toulouse III-Paul Sabatier, Centre de Recherches en Cancérologie de Toulouse, 31100 Toulouse, France
| | - Kaustav Sengupta
- Laboratory of Functional and Structural Genomics, Center of New Technologies (CeNT), University of Warsaw, Mazowieckie, 02-097 Warsaw, Poland
- Faculty of Mathematics and Information Science, Warsaw University of Technology, 00-662 Warsaw, Poland
- Department of Molecular Genetics, Erasmus University Medical Center, Erasmus MC Cancer Institute, 3015 GD Rotterdam, the Netherlands
| | - Dariusz Plewczynski
- Laboratory of Functional and Structural Genomics, Center of New Technologies (CeNT), University of Warsaw, Mazowieckie, 02-097 Warsaw, Poland
- Faculty of Mathematics and Information Science, Warsaw University of Technology, 00-662 Warsaw, Poland
| | - Benoît Aliaga
- CRCT, Université de Toulouse, Inserm, CNRS, Université Toulouse III-Paul Sabatier, Centre de Recherches en Cancérologie de Toulouse, 31100 Toulouse, France
| | - Vera Pancaldi
- CRCT, Université de Toulouse, Inserm, CNRS, Université Toulouse III-Paul Sabatier, Centre de Recherches en Cancérologie de Toulouse, 31100 Toulouse, France
- Barcelona Supercomputing Center, 08034 Barcelona, Spain
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Danieli-Mackay A, Papantonis A. A 3D genome view of colon cancer initiation. NATURE CANCER 2024; 5:1600-1601. [PMID: 39478116 DOI: 10.1038/s43018-024-00825-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/24/2024]
Affiliation(s)
- Adi Danieli-Mackay
- Institute of Pathology, University Medical Center Göttingen, Göttingen, Germany
- Clinical Research Unit 5002, University Medical Center Göttingen, Göttingen, Germany
| | - Argyris Papantonis
- Institute of Pathology, University Medical Center Göttingen, Göttingen, Germany.
- Clinical Research Unit 5002, University Medical Center Göttingen, Göttingen, Germany.
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