Evidence map›Paper›PMID 40164800›Full record

ReviewNature methods2025

Sharing data from the Human Tumor Atlas Network through standards, infrastructure and community engagement.

Ino de Bruijn, Milen Nikolov, Clarisse Lau, Ashley Clayton, David L Gibbs, Elvira Mitraka, Dar'ya Pozhidayeva, Alex Lash, Selcuk Onur Sumer, Jennifer Altreuter and 17 more

Abstract readReview
In one paragraph

Review in Nature methods, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Review
  7. Article
  8. Review
  9. Spatial omics for profiling the dynamic tumor microenvironment.Clinical & translational immunology · 2026
    Review
  10. Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Review
  17. Article
  18. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

27 authors.

Ino de Bruijn *Memorial Sloan Kettering Cancer Center, New York, NY, USA. debruiji@mskcc.org.ORCID http://orcid.org/0000-0001-5427-4750
Milen Nikolov *Sage Bionetworks, Seattle, WA, USA.ORCID http://orcid.org/0000-0003-2647-3255
Clarisse LauInstitute for Systems Biology, Seattle, WA, USA.
Ashley ClaytonSage Bionetworks, Seattle, WA, USA.ORCID http://orcid.org/0000-0002-4570-2706
David L GibbsInstitute for Systems Biology, Seattle, WA, USA.ORCID http://orcid.org/0000-0003-1121-5114
Elvira MitrakaSage Bionetworks, Seattle, WA, USA.
Dar'ya PozhidayevaInstitute for Systems Biology, Seattle, WA, USA.ORCID http://orcid.org/0000-0002-8912-2682
Alex LashDana-Farber Cancer Institute, Boston, MA, USA.ORCID http://orcid.org/0000-0003-3787-1590
Selcuk Onur SumerMemorial Sloan Kettering Cancer Center, New York, NY, USA.ORCID http://orcid.org/0000-0001-9726-9441
Jennifer AltreuterDana-Farber Cancer Institute, Boston, MA, USA.ORCID http://orcid.org/0000-0001-6545-6496
Kristen AntonUniversity of North Carolina at Chapel Hill, Chapel Hill, NC, USA.ORCID http://orcid.org/0000-0002-0773-4141
Mialy DeFeliceSage Bionetworks, Seattle, WA, USA.ORCID http://orcid.org/0000-0002-7197-6292
Xiang LiMemorial Sloan Kettering Cancer Center, New York, NY, USA.ORCID http://orcid.org/0000-0003-2782-2250
Aaron LismanMemorial Sloan Kettering Cancer Center, New York, NY, USA.
William J R LongabaughInstitute for Systems Biology, Seattle, WA, USA.ORCID http://orcid.org/0000-0002-4192-6315
Jeremy MuhlichHarvard Medical School, Boston, MA, USA.ORCID http://orcid.org/0000-0002-0811-637X
Sandro SantagataHarvard Medical School, Boston, MA, USA.ORCID http://orcid.org/0000-0002-7528-9668
Subhiksha NandakumarMemorial Sloan Kettering Cancer Center, New York, NY, USA.ORCID http://orcid.org/0000-0003-0258-3484
Peter K SorgerHarvard Medical School, Boston, MA, USA.ORCID http://orcid.org/0000-0002-3364-1838
Christine SuverSage Bionetworks, Seattle, WA, USA.ORCID http://orcid.org/0000-0002-2986-385X
Xengie DoanSage Bionetworks, Seattle, WA, USA.ORCID http://orcid.org/0000-0002-8245-1555
Justin GuinneySage Bionetworks, Seattle, WA, USA.ORCID http://orcid.org/0000-0003-1477-1888
Nikolaus SchultzMemorial Sloan Kettering Cancer Center, New York, NY, USA.ORCID http://orcid.org/0000-0002-0131-4904
Adam J TaylorSage Bionetworks, Seattle, WA, USA.ORCID http://orcid.org/0000-0003-0501-8886
Vésteinn ThorssonInstitute for Systems Biology, Seattle, WA, USA.ORCID http://orcid.org/0000-0002-3498-2378
Ethan CeramiDana-Farber Cancer Institute, Boston, MA, USA. cerami@ds.dfci.harvard.edu.ORCID http://orcid.org/0009-0009-2340-4490
James A EddySage Bionetworks, Seattle, WA, USA.ORCID http://orcid.org/0000-0001-9758-0176

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI SELWYN M VICKERS · 1985 to 2026
$347.4M
Human Tumor Atlas Network: Data Coordinating Center SupplementU24CA233243 · NCI · DANA-FARBER CANCER INST · PI ROBERT C GENTLEMAN, Nikolaus Schultz · 2018 to 2026
$29.1M
Pre-cancer atlases of cutaneous and hematologic origin (PATCH Center)U2CCA233262 · NCI · HARVARD MEDICAL SCHOOL · PI SANTAGATA, SANDRO · 2018 to 2023
$8.7M
NCI NIH HHS P30 CA008748NCI NIH HHS U24 CA233243U.S. Department of Health & Human Services | NIH | National Cancer Institute (NCI) P30CA008748U.S. Department of Health & Human Services | NIH | National Cancer Institute (NCI) U24CA233243U.S. Department of Health & Human Services | NIH | National Cancer Institute (NCI) U2CCA233262
6 · The paper itself

Abstract

Data from the first phase of the Human Tumor Atlas Network (HTAN) are now available, comprising 8,425 biospecimens from 2,042 research participants profiled with more than 20 molecular assays. The data were generated to study the evolution from precancerous to advanced disease. The HTAN Data Coordinating Center (DCC) has enabled their dissemination and effective reuse. We describe the diverse datasets, how to access them, data standards, underlying infrastructure and governance approaches, and our methods to sustain community engagement. HTAN data can be accessed through the HTAN Portal, explored in visualization tools-including CellxGene, Minerva and cBioPortal-and analyzed in the cloud through the NCI Cancer Research Data Commons. Infrastructure was developed to enable data ingestion and dissemination through the Synapse platform. The HTAN DCC's flexible and modular approach to sharing complex cancer research data offers valuable insights to other data-coordination efforts and researchers looking to leverage HTAN data.

Indexed as

Information DisseminationNeoplasmsHumans

Identifiers

PMID40164800
PMCPMC12125965

What OpenQuestion holds

Textmetadata
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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 OpenQuestion graph.