Evidence map›Paper›PMID 42791163›Full record

ReviewEBioMedicine2026

Cancer genomic data systems in precision oncology: from integration to clinical implementation.

David Torrents, Oliver Hofmann, Karen Ann Cranston, Raffaella Casolino, Andrew V Biankin, Andrés F Cardona, Robert L Grossman, Amber Johns, Mark Lawler, Kjong-Van Lehmann and 13 more

Abstract readReview
In one paragraph

Review in EBioMedicine, 2026. 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
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

23 authors.

David TorrentsLife Sciences Department, Barcelona Supercomputing Center (BSC), Barcelona, Spain; Institució Catalana per la Recerca i Estudis Avançats (ICREA), Barcelona, Spain.
Oliver HofmannUniversity of Melbourne, Melbourne, Australia.
Karen Ann CranstonTechna Institute, University Health Network, Toronto, Canada.
Raffaella CasolinoInternational Cancer Genome Consortium, University of Glasgow, Glasgow, United Kingdom.
Andrew V BiankinInternational Cancer Genome Consortium, University of Glasgow, Glasgow, United Kingdom.
Andrés F CardonaDirection of Research and Education Luis Carlos Sarmiento Angulo Cancer Treatment and Research Center (CTIC), Bogotá, Colombia.
Robert L GrossmanDepartment of Medicine and Computer Science, University of Chicago, Chicago, IL, USA; Center for Translational Data Science, University of Chicago, Chicago, IL, USA.
Amber JohnsInternational Cancer Genome Consortium, University of Glasgow, Glasgow, United Kingdom.
Mark LawlerQueens University Belfast, Belfast, United Kingdom.
Kjong-Van LehmannDepartment of Biology, RWTH Aachen University, Aachen, Germany; Joint Research Center for Computational Life Sciences, Uniklinik RWTH Aachen, Aachen, Germany; Center for Computational Life Sciences, RWTH Aachen University, Aachen, Germany.
Raquel Manzano GarciaCancer Research UK Cambridge Institute, Cambridge, United Kingdom.
Nicola MulderComputational Biology Division, IDM, University of Cape Town, Cape Town, South Africa.
Travis OstermanVanderbilt University Medical Center, Nashville, TN, USA.
Timothy RebbeckDana-Farber Cancer Institute, Boston, MA, USA.
Solomon RotimiDepartment of Biochemistry, Covenant University, Ota, Nigeria.
Zbyslaw SondkaCOSMIC, Wellcome Sanger Institute, Cambridge, UK.
Shawn SweeneyAACR Project GENIE Coordinating Center at the American Association for Cancer Research, Philadelphia, PA, USA.
Samuel VolchenboumDepartment of Pediatrics, University of Chicago, Chicago, IL, USA.
Alex WagnerInstitute for Genomic Medicine, Nationwide Children's Hospital; Department of Pediatrics, Ohio State University, Columbus, OH, USA.
Jianmin WuState Key Laboratory of Holistic Integrative Management of Gastrointestinal Cancers, Beijing Key Laboratory of Carcinogenesis and Translational Research, Center for Cancer Bioinformatics, Peking University Cancer Hospital & Institute, Beijing, 100142, China; Peking University International Cancer Institute, Peking University, Beijing, 100191, China.
Takayuki YoshinoDepartment of Global Oncology, Division for Promotion of Drug and Diagnostic Development, Department of Gastrointestinal Oncology, National Cancer Center Hospital East, Kashiwa, Japan.
Mélanie CourtotGenome Informatics, Ontario Institute for Cancer Research, Toronto, Canada; Medical BioPhysics Department, University of Toronto, Toronto, Canada; Department of Computer Science, University of Toronto, Toronto, Canada. Electronic address: mcourtot@gmail.com.
Lincoln SteinOntario Institute for Cancer Research, Toronto, Canada; Department of Molecular Genetics, University of Toronto, Toronto, Canada; Vector Institute for Artificial Intelligence, Toronto, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cancer genomic data sharing is a core pillar of precision oncology, underpinning reproducibility, scalability, and equity. The ability to discover, access, integrate, interpret, and reuse cancer 'omics data is a key determinant of precision oncology's value and benefit at scale. This work has been conducted as part of The Lancet Oncology Commission on Cancer Genomics and Precision Oncology to examine the practical data architecture required to support cancer genomics in research, clinical care, and health-system learning. We conclude that without robust data stewardship, including effective data sharing and global integration, the potential of cancer genomics will remain fragmented across projects, platforms, and jurisdictions. This disaggregation limits reproducibility, equity, patient benefit, and societal value. Healthcare systems must prioritise implementing fully efficient data ecosystems as a central challenge for precision oncology.

Indexed as

GenomicsMedical OncologyNeoplasmsPrecision MedicineHumansInformation DisseminationData managementData policyData sharingGenomics platformsInternational governanceOncology

Identifiers

PMID42791163
PMCPMC13688039

What OpenQuestion holds

Textmetadata
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.