Evidence map›Paper›PMID 40038385›Full record

ArticleCommunications biology2025

3D genome landscape of primary and metastatic colorectal carcinoma reveals the regulatory mechanism of tumorigenic and metastatic gene expression.

Xiang Xu, Jingbo Gan, Zhaoya Gao, Ruifeng Li, Dandan Huang, Lin Lin, Yawen Luo, Qian Yang, Jingxuan Xu, Yaru Li and 14 more

Erratum issuedAbstract read
In one paragraph

Article in Communications biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Review
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  7. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

24 authors.

Xiang Xu *Department of Gastrointestinal Surgery, Peking University Shougang Hospital, 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.ORCID http://orcid.org/0000-0002-0874-2266
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.
Lin LinAcademy of Military Medical Sciences, Beijing, China.ORCID http://orcid.org/0009-0006-8310-9010
Yawen LuoAcademy of Military Medical Sciences, Beijing, China.
Qian YangAcademy of Military Medical Sciences, Beijing, China.
Jingxuan XuDepartment of Gastrointestinal Surgery, Peking University Shougang Hospital, Beijing, China.
Yaru LiAcademy of Military Medical Sciences, Beijing, China.
Qing FangCenter for Bioinformatics, School of Life Sciences, Center for Statistical Science, Peking University, Beijing, China.
Ting PengCenter for Bioinformatics, School of Life Sciences, Center for Statistical Science, Peking University, Beijing, China.
Yaqi WangCenter for Bioinformatics, School of Life Sciences, Center for Statistical Science, Peking University, Beijing, China.
Zihan XuCenter for Bioinformatics, School of Life Sciences, Center for Statistical Science, Peking University, Beijing, China.
An HuangKey Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Gastrointestinal Surgery, Peking University Cancer Hospital & Institute, Beijing, China.
Haopeng HongKey Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Gastrointestinal Surgery, Peking University Cancer Hospital & Institute, Beijing, China.
Fuming LeiDepartment of Gastrointestinal Surgery, Peking University Shougang Hospital, Beijing, China.
Wensheng HuangDepartment of Gastrointestinal Surgery, Peking University Shougang Hospital, Beijing, China.
Jianjun LengCenter for Precision Diagnosis and Treatment of Colorectal Carcinoma and Inflammatory Diseases, Peking University Health Science Center, Beijing, China.
Tingting LiCenter for Bioinformatics, School of Life Sciences, Center for Statistical Science, Peking University, Beijing, China.
Xiaochen BoAcademy of Military Medical Sciences, Beijing, China.ORCID http://orcid.org/0000-0003-1911-7922
Hebing ChenAcademy of Military Medical Sciences, Beijing, China. chb-1012@163.com.ORCID http://orcid.org/0000-0003-4102-356X
Cheng LiCenter for Bioinformatics, School of Life Sciences, Center for Statistical Science, Peking University, Beijing, China. cheng_li@pku.edu.cn.ORCID http://orcid.org/0000-0002-1766-1409
Jin GuDepartment of Gastrointestinal Surgery, Peking University Shougang Hospital, Beijing, China. zlguj@bjmu.edu.cn.ORCID http://orcid.org/0000-0002-9650-1963

Funding

National Natural Science Foundation of China (National Science Foundation of China) 62173338
6 · The paper itself

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.

Indexed as

CarcinogenesisColorectal NeoplasmsGene Expression Regulation, NeoplasticGenome, HumanHumansLiver NeoplasmsNeoplasm Metastasis

Identifiers

PMID40038385
PMCPMC11880527

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.