Evidence mapPaperPMID 39236169Full record

ArticleScience (New York, N.Y.)2024

Single-cell chromatin accessibility reveals malignant regulatory programs in primary human cancers.

Laksshman Sundaram, Arvind Kumar, Matthew Zatzman, Adriana Salcedo, Neal Ravindra, Shadi Shams, Bryan H Louie, S Tansu Bagdatli, Matthew A Myers, Shahab Sarmashghi and 40 more

Abstract read
In one paragraph

Article in Science (New York, N.Y.), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers.

0numbers the graph read from it
0cells of the map it votes in
40citing 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

40 citing papers in PubMed.

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  18. scAmp analyzes focal gene amplifications at single-cell resolution.bioRxiv : the preprint server for biology · 2026
    Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

50 authors.

Laksshman SundaramDepartment of Genetics, Stanford University School of Medicine, Stanford, CA, USA.ORCID 0000-0002-8953-3940
Arvind Kumar *Illumina AI laboratory, Illumina Inc, Foster City, CA, USA.ORCID 0000-0002-1804-2343
Matthew Zatzman *Computational Oncology, Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA.ORCID 0000-0001-5235-4116
Adriana SalcedoIllumina AI laboratory, Illumina Inc, Foster City, CA, USA.
Neal RavindraIllumina AI laboratory, Illumina Inc, Foster City, CA, USA.ORCID 0000-0001-5558-3758
Shadi ShamsDepartment of Genetics, Stanford University School of Medicine, Stanford, CA, USA.ORCID 0000-0003-4334-2820
Bryan H LouieDepartment of Dermatology, Stanford University School of Medicine, Stanford, CA, USA.
S Tansu BagdatliDepartment of Genetics, Stanford University School of Medicine, Stanford, CA, USA.
Matthew A MyersComputational Oncology, Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA.ORCID 0000-0002-9337-5180
Shahab SarmashghiBroad Institute of MIT and Harvard, Cambridge, MA, USA.ORCID 0000-0003-0564-1643
Hyo Young ChoiDepartment of Preventive Medicine, University of Tennessee Health Science Center, Memphis, TN, USA.ORCID 0000-0002-7627-8493
Won-Young ChoiUTHSC Center for Cancer Research, University of Tennessee Health Science Center, Memphis, TN, USA.
Kathryn E YostDepartment of Dermatology, Stanford University School of Medicine, Stanford, CA, USA.ORCID 0000-0001-6807-950X
Yanding ZhaoDepartment of Genetics, Stanford University School of Medicine, Stanford, CA, USA.
Jeffrey M GranjaDepartment of Genetics, Stanford University School of Medicine, Stanford, CA, USA.
Toshinori HinoueCenter for Epigenetics, Van Andel Institute, Grand Rapids, MI 49503, USA.ORCID 0000-0002-5078-5016
D Neil HayesDepartment of Preventive Medicine, University of Tennessee Health Science Center, Memphis, TN, USA.ORCID 0000-0001-6203-7771
Andrew CherniackBroad Institute of MIT and Harvard, Cambridge, MA, USA.ORCID 0000-0003-0470-0111
Ina FelauNational Cancer Institute, National Institutes of Health, Bethesda, MD 20892, USA.ORCID 0000-0002-9005-0700
Hani ChoudhryDepartment of Biochemistry, Faculty of Science, Cancer and Mutagenesis Unit, King Fahd Center for Medical Research, King Abdulaziz University, Jeddah, Saudi Arabia.
Jean C ZenklusenNational Cancer Institute, National Institutes of Health, Bethesda, MD 20892, USA.ORCID 0000-0002-9489-1873
Kyle Kai-How FarhIllumina AI laboratory, Illumina Inc, Foster City, CA, USA.ORCID 0000-0001-6947-8537
Andrew McPhersonComputational Oncology, Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA.ORCID 0000-0002-5654-5101
Christina CurtisDepartment of Genetics, Stanford University School of Medicine, Stanford, CA, USA.ORCID 0000-0003-0166-3802
Peter W LairdCenter for Epigenetics, Van Andel Institute, Grand Rapids, MI 49503, USA.ORCID 0000-0001-9117-3641
Cancer Genome Atlas Analysis Network‡
John A DemchokCenter for Cancer Genomics, National Cancer Institute, Bethesda, MD 20892, USA.
Liming YangCenter for Cancer Genomics, National Cancer Institute, Bethesda, MD 20892, USA.
Roy TarnuzzerCenter for Cancer Genomics, National Cancer Institute, Bethesda, MD 20892, USA.
Samantha J Caesar-JohnsonCenter for Cancer Genomics, National Cancer Institute, Bethesda, MD 20892, USA.
Zhining WangCenter for Biomedical Informatics and Information Technology, National Cancer Institute, NIH, 9609 Medical Center Drive, Rockville, MD 20850, USA.
Ashley S DoaneInstitute for Computational Biomedicine, Weill Cornell Medicine, New York, NY 10065, USA.
Ekta KhuranaInstitute for Computational Biomedicine, Weill Cornell Medicine, New York, NY 10065, USA.
Mauro A A CastroBioinformatics and Systems Biology Laboratory, Federal University of Paraná, Curitiba 81520-260, Brazil.
Alexander J LazarDepartments of Pathology & Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Bradley M BroomDepartment of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
John N WeinsteinDepartment of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
Rehan AkbaniDepartment of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
Shwetha V KumarDepartment of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
Benjamin J RaphaelDepartment of Computer Science, Princeton University, 35 Olden Street, Princeton, NJ 08540.
Christopher K WongBiomolecular Engineering Department, School of Engineering, University of California, Santa Cruz, Santa Cruz, CA 95064, USA.
Joshua M StuartBiomolecular Engineering Department, School of Engineering, University of California, Santa Cruz, Santa Cruz, CA 95064, USA.
Rojin SafaviBiomolecular Engineering Department, School of Engineering, University of California, Santa Cruz, Santa Cruz, CA 95064, USA.
Christopher C BenzBuck Institute for Research on Aging, Novato, CA 94945, USA.
Benjamin K JohnsonCenter for Epigenetics, Van Andel Institute, Grand Rapids, MI 49503, USA.
Cindy KyiCenter for Cancer Genomics, National Cancer Institute, Bethesda, MD 20892, USA.
Hui ShenCenter for Epigenetics, Van Andel Institute, Grand Rapids, MI 49503, USA.
M Ryan CorcesDepartment of Dermatology, Stanford University School of Medicine, Stanford, CA, USA.ORCID 0000-0001-7465-7652
Howard Y ChangDepartment of Genetics, Stanford University School of Medicine, Stanford, CA, USA.ORCID 0000-0002-9459-4393
William J GreenleafDepartment of Genetics, Stanford University School of Medicine, Stanford, CA, USA.ORCID 0000-0003-1409-3095

Funding

The Patient-Reported Outcomes, Community-Engagement and Language (PRO-CEL) CoreP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · 1985 to 2025
$88.4M
Stanford Mendelian Genomics Research CenterU01HG011762 · STANFORD UNIVERSITY · 2025 to 2025
$2.8M
Stanford Center for Connecting DNA Variants to Function and PhenotypeUM1HG011972 · STANFORD UNIVERSITY · 2025 to 2025
$1.8M
Combinatorial Cell State EngineeringDP1HG013599 · STANFORD UNIVERSITY · 2025 to 2025
$1.1M
Defining and perturbing gene regulatory dynamics in the developing human heart to understand mechanisms of congenital heart defectsR01HL171611 · STANFORD UNIVERSITY · 2025 to 2025
$730k
Fast, powerful, scalable, usable, and distributable methods for multi-modal single cell analysesR01HG013317 · STANFORD UNIVERSITY · 2025 to 2025
$701k
Defining and perturbing gene regulatory dynamics in the developing human brainR01NS128028 · STANFORD UNIVERSITY · 2025 to 2025
$598k
Stanford Tissue Mapping CenterU54HG012723 · STANFORD UNIVERSITY · 2025 to 2025
$500k
Integrative Cancer Epigenomic Data Analysis Center (ICE-DAC)U24CA264023 · VAN ANDEL RESEARCH INSTITUTE · 2025 to 2025
$456k
The MSK Genomic Data Analysis Center for Tumor EvolutionU24CA264028 · SLOAN-KETTERING INST CAN RESEARCH · 2025 to 2025
$425k
A Genome Data Analysis Center Focused on Batch Effect Analysis and Data IntegrationU24CA264006 · UNIVERSITY OF TX MD ANDERSON CAN CTR · 2025 to 2025
$403k
Center for the Comprehensive Analysis of Cancer Somatic Copy-Number Alterations, Rearrangements, and Long-Read Sequencing DataU24CA264029 · BROAD INSTITUTE, INC. · 2025 to 2025
$397k
NCI NIH HHS P30 CA008748NCI NIH HHS U24 CA264006NCI NIH HHS U24 CA264009NCI NIH HHS U24 CA264021NCI NIH HHS U24 CA264023NCI NIH HHS U24 CA264027NCI NIH HHS U24 CA264028NCI NIH HHS U24 CA264029NCI NIH HHS U24 CA264032NCI NIH HHS U2C CA233311NHGRI NIH HHS DP1 HG013599NHGRI NIH HHS P50 HG007735NHGRI NIH HHS R01 HG013317NHGRI NIH HHS RM1 HG007735NHGRI NIH HHS U01 HG011762NHGRI NIH HHS U54 HG012723NHGRI NIH HHS UM1 HG009436NHGRI NIH HHS UM1 HG011972NHLBI NIH HHS R01 HL171611NIMH NIH HHS U01 MH116529NINDS NIH HHS R01 NS128028
6 · The paper itself

Abstract

To identify cancer-associated gene regulatory changes, we generated single-cell chromatin accessibility landscapes across eight tumor types as part of The Cancer Genome Atlas. Tumor chromatin accessibility is strongly influenced by copy number alterations that can be used to identify subclones, yet underlying cis-regulatory landscapes retain cancer type-specific features. Using organ-matched healthy tissues, we identified the "nearest healthy" cell types in diverse cancers, demonstrating that the chromatin signature of basal-like-subtype breast cancer is most similar to secretory-type luminal epithelial cells. Neural network models trained to learn regulatory programs in cancer revealed enrichment of model-prioritized somatic noncoding mutations near cancer-associated genes, suggesting that dispersed, nonrecurrent, noncoding mutations in cancer are functional. Overall, these data and interpretable gene regulatory models for cancer and healthy tissue provide a framework for understanding cancer-specific gene regulation.

Indexed as

ChromatinGene Expression Regulation, NeoplasticNeoplasmsSingle-Cell AnalysisBreast NeoplasmsDNA Copy Number VariationsHumansMutationNeural Networks, ComputerChromatin

Identifiers

PMID39236169
PMCPMC12289346

What Socratic holds

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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.