In one paragraphReview in Cancer research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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 registryThe 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 literatureWho cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
4 · The recordCorrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
5 · Who and what moneyAuthors and funding
24 authors.
Pablo G CamaraDepartment of Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania.ORCID 0000-0001-6822-3604 Lee A D CooperDepartment of Pathology and Laboratory Medicine, Northwestern University, Chicago, Illinois.ORCID 0000-0002-3504-4965 Daniel MarcusDepartment of Radiological Sciences, Washington University in St Louis, St. Louis, Missouri.ORCID 0000-0001-5662-5358 Kristen NaegleDepartment of Biomedical Engineering and the Center for Public Health Genomics, University of Virginia, Charlottesville, Virginia.ORCID 0000-0001-7146-9592 Sarthak PatiDepartment of Pathology and Laboratory Medicine, Indiana University School of Medicine, Indianapolis, Indiana.ORCID 0000-0003-2243-8487 Spyridon BakasDepartment of Pathology and Laboratory Medicine, Indiana University School of Medicine, Indianapolis, Indiana.ORCID 0000-0001-8734-6482 Funding
Tumor Microenvironment and Metastasis ProgramP30CA082709 · NCI · INDIANA UNIV-PURDUE UNIV AT INDIANAPOLIS · PI Reuben Kapur · 1999 to 2026
$59.3MImplementing the Genomic Data Science Analysis, Visualization, and Informatics Lab-space (AnVIL)U24HG010263 · NHGRI · JOHNS HOPKINS UNIVERSITY · PI Enis Afgan, VINCENT JAMES CAREY · 2018 to 2026
$23.8MBridge2AI: Cell Maps for AI (CM4AI) Data Generation ProjectOT2OD032742 · OD · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Jean-Christophe Bélisle-Pipon, TIMOTHY W CLARK · 2022 to 2026
$21.5MTR&D 3 - Network Guided Machine LearningP41GM103504 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI IDEKER, TREY · 2012 to 2024
$17.3MThe Cancer Cell Map Initiative v2.0U54CA274502 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Antoine Forget · 2022 to 2026
$14.2MOmic and Multidimensional Spatial Atlas of Metastatic Breast CancerU2CCA233280 · NCI · OREGON HEALTH & SCIENCE UNIVERSITY · PI DEMIR, EMEK, MILLS, GORDON B. · 2018 to 2023
$9.7MTHE XNAT IMAGING INFORMATICS PLATFORMR01EB009352 · NIBIB · WASHINGTON UNIVERSITY · PI Daniel Scott Marcus · 2009 to 2026
$9.3MTraining Grant in Cancer BiologyT32CA154274 · NCI · UNIVERSITY OF MARYLAND BALTIMORE · PI Toni M Antalis, CURT I CIVIN · 2011 to 2026
$6.8MCYTOSCAPE: AN ECOSYSTEM FOR NETWORK GENOMICSU24HG012107 · NHGRI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Jing Chen, PIETER C DORRESTEIN · 2022 to 2026
$6.5MCancer Deep Phenotyping from Electronic Medical RecordsU24CA248010 · NCI · BOSTON CHILDREN'S HOSPITAL · PI HARRY S HOCHHEISER, GUERGANA K. SAVOVA · 2020 to 2026
$6.1MPreclinical Imaging XNAT-enabled Informatics (PIXI) CenterU24CA253531 · NCI · WASHINGTON UNIVERSITY · PI Daniel Scott Marcus, Kooresh Isaac Shoghi · 2020 to 2026
$5.1MComprehensive and Robust Tools for Analysis of Tumor Heterogeneity and EvolutionU24CA248453 · NCI · PRINCETON UNIVERSITY · PI Benjamin Raphael · 2020 to 2026
$4.7MNational Institutes of Health (NIH) 1OT2OD032742-01National Institutes of Health (NIH) 1U24CA269436-01A1National Institutes of Health (NIH) 1U54CA274502-01National Institutes of Health (NIH) 5P41GM103504-12National Institutes of Health (NIH) 5R01CA161749-09 and 5R01CA223816-05National Institutes of Health (NIH) 5R01EB009352 and 5U24CA253531National Institutes of Health (NIH) 5U24CA189523-05National Institutes of Health (NIH) 5U24CA258482National Institutes of Health (NIH) 5U24HG012107-02National Institutes of Health (NIH) and U01CA248235National Institutes of Health (NIH) and U24HG010263National Institutes of Health (NIH) U01CA220401National Institutes of Health (NIH) U01CA242871National Institutes of Health (NIH) U01CA269409National Institutes of Health (NIH) U01CA271273 and U54CA253403National Institutes of Health (NIH) U24CA19436201National Institutes of Health (NIH) U24CA231877National Institutes of Health (NIH) U24CA237617National Institutes of Health (NIH) U24CA237719National Institutes of Health (NIH) U24CA248010National Institutes of Health (NIH) U24CA248138National Institutes of Health (NIH) U24CA248453National Institutes of Health (NIH) U24CA248457National Institutes of Health (NIH) U24CA258115National Institutes of Health (NIH) U24CA258393National Institutes of Health (NIH) U24CA275783National Institutes of Health (NIH) U24CA279629National Institutes of Health (NIH) U2CCA233280National Institutes of Health (NIH) UE5CA254170NCI NIH HHS P30 CA082709NCI NIH HHS R01 CA161749NCI NIH HHS R01 CA223816NCI NIH HHS T32 CA154274NCI NIH HHS U01 CA220401NCI NIH HHS U01 CA242871NCI NIH HHS U01 CA248235NCI NIH HHS U01 CA253403NCI NIH HHS U01 CA269409NCI NIH HHS U01 CA271273NCI NIH HHS U24 CA189523NCI NIH HHS U24 CA231877NCI NIH HHS U24 CA237617NCI NIH HHS U24 CA237719NCI NIH HHS U24 CA248010NCI NIH HHS U24 CA248138NCI NIH HHS U24 CA248453NCI NIH HHS U24 CA248457NCI NIH HHS U24 CA253531NCI NIH HHS U24 CA258115NCI NIH HHS U24 CA258393NCI NIH HHS U24 CA258483NCI NIH HHS U24 CA269436NCI NIH HHS U24 CA275783NCI NIH HHS U24 CA279629NCI NIH HHS U24 CA284167NCI NIH HHS U24 CA289073NCI NIH HHS U2C CA233280NCI NIH HHS U54 CA274502NCI NIH HHS UE5 CA254170NHGRI NIH HHS U24 HG010263NHGRI NIH HHS U24 HG012107NIBIB NIH HHS R01 EB009352NIGMS NIH HHS P41 GM103504NIH HHS OT2 OD032742
6 · The paper itselfAbstract
Digitized healthcare data, high-throughput profiling technologies, and data repositories have facilitated the emergence of a new era of cancer research. Each data stream requires specialized analysis methods for interpretation. The data-driven era of cancer research requires the development, enhancement, and sustainment of informatics technology software infrastructure, including fundamental methodology development in artificial intelligence and data science. We review current and emerging informatics technology developments for cancer research and discovery, spanning molecular and cellular characterizations, image analysis, informatics, and therapeutics. Summarizing the diverse methods and applications of informatics throughout cancer research identifies themes and emerging areas for the next generation of cancer research. This article is part of a special series: Driving Cancer Discoveries with Computational Research, Data Science, and Machine Learning/AI.
Indexed as
Biomedical ResearchComputational BiologyMedical InformaticsNeoplasmsArtificial IntelligenceHumansMachine Learning
Identifiers
PMID40600473
PMCPMC12355178
What OpenQuestion holds
Textmetadata
LicenceCC BY-NC-ND
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