Evidence map›Paper›PMID 40825871›Full record

ArticleNature genetics2025

Tracing the evolution of single-cell 3D genomes in Kras-driven cancers.

Miao Liu, Shengyan Jin, Sherry S Agabiti, Tyler B Jensen, Tianqi Yang, Jonathan S D Radda, Christian F Ruiz, Gabriel Baldissera, Moein Rajaei, Fang-Yong Li and 3 more

Abstract read
In one paragraph

Article in Nature genetics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Differential analysis of image-based chromatin tracing data with Dory.bioRxiv : the preprint server for biology · 2026
    Article
  11. Organoids glimpse: the nexus for diverse tumor heterogeneity.Frontiers in cell and developmental biology · 2026
    Review
  12. Review
  13. Article
  14. Article
  15. Rewiring cancer: 3D genome determinants of cancer hallmarks.Current opinion in genetics & development · 2025
    Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

13 authors.

Miao Liu *Department of Genetics, Yale School of Medicine, Yale University, New Haven, CT, USA.ORCID http://orcid.org/0000-0003-4248-2661
Shengyan Jin *Department of Genetics, Yale School of Medicine, Yale University, New Haven, CT, USA.ORCID http://orcid.org/0000-0002-8667-7586
Sherry S Agabiti *Department of Genetics, Yale School of Medicine, Yale University, New Haven, CT, USA.
Tyler B JensenDepartment of Genetics, Yale School of Medicine, Yale University, New Haven, CT, USA.ORCID http://orcid.org/0000-0003-0220-4026
Tianqi YangDepartment of Genetics, Yale School of Medicine, Yale University, New Haven, CT, USA.
Jonathan S D RaddaDepartment of Genetics, Yale School of Medicine, Yale University, New Haven, CT, USA.ORCID http://orcid.org/0000-0002-2242-9604
Christian F RuizDepartment of Genetics, Yale School of Medicine, Yale University, New Haven, CT, USA.
Gabriel BaldisseraDepartment of Genetics, Yale School of Medicine, Yale University, New Haven, CT, USA.
Moein RajaeiDepartment of Biostatistics, Yale School of Public Health, Yale University, New Haven, CT, USA.ORCID http://orcid.org/0009-0006-7079-2033
Fang-Yong LiDepartment of Chronic Disease Epidemiology, Yale School of Public Health, Yale University, New Haven, CT, USA.ORCID http://orcid.org/0000-0003-3171-7592
Jeffrey P TownsendDepartment of Biostatistics, Yale School of Public Health, Yale University, New Haven, CT, USA.ORCID http://orcid.org/0000-0002-9890-3907
Mandar Deepak MuzumdarDepartment of Genetics, Yale School of Medicine, Yale University, New Haven, CT, USA. mandar.muzumdar@yale.edu.ORCID http://orcid.org/0000-0001-7424-7223
Siyuan WangDepartment of Genetics, Yale School of Medicine, Yale University, New Haven, CT, USA. siyuan.wang@yale.edu.ORCID http://orcid.org/0000-0001-6550-4064

Funding

Yale Pathology Tissue Services Shared ResourceP30CA016359 · NCI · YALE UNIVERSITY · PI MEGAN C KING · 1985 to 2026
$85.0M
MEDICAL SCIENTIST TRAINING PROGRAMT32GM007205 · NIGMS · YALE UNIVERSITY · PI KAZMIERCZAK, BARBARA I · 1985 to 2019
$42.9M
Yale SPORE in Lung Cancer (YSILC): The Biology and Personalized Treatment of Lung CancerP50CA196530 · NCI · YALE UNIVERSITY · PI Kurt A Schalper · 2015 to 2026
$31.1M
PREDOCTORAL TRAINING PROGRAM IN GENETICST32GM007499 · NIGMS · YALE UNIVERSITY · PI CARLSON, JOHN R, REINKE, VALERIE J · 1985 to 2022
$13.9M
Yale Cancer Biology Training GrantT32CA193200 · NCI · YALE UNIVERSITY · PI PETER M GLAZER, Qin Yan · 2016 to 2026
$3.6M
Genome Architecture in Human Germinal Center B Cell Development, Malignancy, and Somatic HypermutationU01CA260701 · NCI · YALE UNIVERSITY · PI SCHATZ, DAVID G., WANG, SIYUAN · 2020 to 2024
$3.1M
Dietary fatty acids drive pancreatic cancer developmentR01CA276108 · NCI · YALE UNIVERSITY · PI Mandar Deepak Muzumdar · 2023 to 2026
$2.6M
Defining tumor cell and host adaptations in cancer progressionDP2CA248136 · NCI · YALE UNIVERSITY · PI MUZUMDAR, MANDAR DEEPAK · 2019 to 2019
$2.5M
Building the 3D genomic regulatomeDP2GM137414 · NIGMS · YALE UNIVERSITY · PI WANG, SIYUAN · 2019 to 2019
$2.5M
Spatial omics technologies to map the senescent cell microenvironmentUH3CA268202 · NCI · BROWN UNIVERSITY · PI MA, JIAN, NERETTI, NICOLA · 2023 to 2025
$2.2M
Multimodal Analysis of the Genome Architecture Using Expansion MicroscopyR01HG012969 · NHGRI · YALE UNIVERSITY · PI Joerg Bewersdorf, Antonio J Giraldez · 2024 to 2026
$2.1M
Integrative single-cell spatial genomic, transcriptomic, and epigenetic imaging in mammalian tissueR01HG011245 · NHGRI · YALE UNIVERSITY · PI WANG, SIYUAN · 2020 to 2023
$2.1M
American Association for Cancer Research (American Association for Cancer Research, Inc.) 19-20-18-MUZUNCI NIH HHS DP2 CA248136NCI NIH HHS P30 CA016359NCI NIH HHS P50 CA196530NCI NIH HHS R01 CA276108NCI NIH HHS R01 CA292936NCI NIH HHS R33 CA251037NCI NIH HHS T32 CA193200NCI NIH HHS U01 CA260701NCI NIH HHS UH3 CA268202NHGRI NIH HHS R01 HG011245NHGRI NIH HHS R01 HG012969NIGMS NIH HHS DP2 GM137414NIGMS NIH HHS T32 GM007205NIGMS NIH HHS T32 GM007499NLM NIH HHS R01 LM013385U.S. Department of Health & Human Services | NIH | National Cancer Institute (NCI) P30CA016359U.S. Department of Health & Human Services | NIH | National Cancer Institute (NCI) P50CA196530U.S. Department of Health & Human Services | NIH | National Cancer Institute (NCI) R01CA276108-02S1U.S. Department of Health & Human Services | NIH | National Cancer Institute (NCI) R01CA292936U.S. Department of Health & Human Services | NIH | National Cancer Institute (NCI) R33CA251037U.S. Department of Health & Human Services | NIH | National Cancer Institute (NCI) T32CA193200U.S. Department of Health & Human Services | NIH | National Human Genome Research Institute (NHGRI) R01HG011245U.S. Department of Health & Human Services | NIH | National Human Genome Research Institute (NHGRI) R01HG012969U.S. Department of Health & Human Services | NIH | National Institute of General Medical Sciences (NIGMS) 2T32GM007499U.S. Department of Health & Human Services | NIH | National Institute of General Medical Sciences (NIGMS) 5T32GM007205U.S. Department of Health & Human Services | NIH | NIH Office of the Director (OD) DP2CA248136U.S. Department of Health & Human Services | NIH | NIH Office of the Director (OD) DP2GM137414U.S. Department of Health & Human Services | NIH | NIH Office of the Director (OD) U01CA260701U.S. Department of Health & Human Services | NIH | NIH Office of the Director (OD) UH3CA268202U.S. Department of Health & Human Services | NIH | U.S. National Library of Medicine (NLM) R01LM013385
6 · The paper itself

Abstract

Although three-dimensional (3D) genome structures are altered in cancer, it remains unclear how these changes evolve and diversify during cancer progression. Leveraging genome-wide chromatin tracing to visualize 3D genome folding directly in tissues, we generated 3D genome cancer atlases of oncogenic Kras-driven mouse lung adenocarcinoma (LUAD) and pancreatic ductal adenocarcinoma. Here we define nonmonotonic, stage-specific alterations in 3D genome compaction, heterogeneity and compartmentalization as cancers progress from normal to preinvasive and ultimately to invasive tumors, discovering a potential structural bottleneck in early tumor progression. Remarkably, 3D genome architectures distinguish morphologic cancer states in single cells, despite considerable cell-to-cell heterogeneity. Analyses of genome compartmentalization changes not only showed that compartment-associated genes are more homogeneously regulated but also elucidated prognostic and dependency genes in LUAD, as well as an unexpected role for Rnf2 in 3D genome regulation. Our results highlight the power of single-cell 3D genome mapping to identify diagnostic, prognostic and therapeutic biomarkers in cancer.

Indexed as

Adenocarcinoma of LungCarcinoma, Pancreatic DuctalGenomeLung NeoplasmsPancreatic NeoplasmsProto-Oncogene Proteins p21(ras)AnimalsChromatinGene Expression Regulation, NeoplasticHumansMiceSingle-Cell AnalysisChromatinHras protein, mouseProto-Oncogene Proteins p21(ras)

Identifiers

PMID40825871
PMCPMC12695640

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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 OpenQuestion graph.