Evidence map›Paper›PMID 42298141›Full record

ReviewNature reviews. Cancer2026

3D multi-omics tumour atlases: from technology to biology and clinical translation.

Miao Liu, Jorge Villazon, André Forjaz, Xiaolong Tian, Rong Fan, Siyuan Wang, Lingyan Shi, Denis Wirtz, Ashley L Kiemen

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature reviews. Cancer, 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

9 authors.

Miao LiuDepartment of Biomedical Engineering, Yale University, New Haven, CT, USA.ORCID http://orcid.org/0000-0003-4248-2661
Jorge VillazonShu Chien-Gene Lay Department of Bioengineering, University of California San Diego, San Diego, CA, USA.
André ForjazDepartment of Chemical & Biomolecular Engineering, Johns Hopkins University, Baltimore, MD, USA.
Xiaolong TianDepartment of Biomedical Engineering, Yale University, New Haven, CT, USA.
Rong FanDepartment of Biomedical Engineering, Yale University, New Haven, CT, USA. rong.fan@yale.edu.ORCID http://orcid.org/0000-0001-7805-8059
Siyuan WangDepartment of Genetics, Yale University, New Haven, CT, USA. siyuan.wang@yale.edu.ORCID http://orcid.org/0000-0001-6550-4064
Lingyan ShiShu Chien-Gene Lay Department of Bioengineering, University of California San Diego, San Diego, CA, USA. l2shi@ucsd.edu.
Denis WirtzDepartment of Chemical & Biomolecular Engineering, Johns Hopkins University, Baltimore, MD, USA. wirtz@jhu.edu.ORCID http://orcid.org/0000-0001-6147-3045
Ashley L KiemenInstitute for NanoBioTechnology, Johns Hopkins University, Baltimore, MD, USA. kiemen@jhmi.edu.ORCID http://orcid.org/0000-0002-6281-2616

Funding

Sugar Probed SRS Volumetric imaging of Metabolic ActivitiesR01GM149976 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Lingyan Shi · 2023 to 2026
$1.6M
Lympnoids tissue senescence and multimodal imaging using REDCATR01AG086548 · NIA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI VISHWA DEEP DIXIT, Rong Fan · 2026 to 2026
$701k
NIA NIH HHS R01 AG086548NIGMS NIH HHS R01 GM149976
6 · The paper itself

Abstract

Human tumours consist of highly heterogeneous and interacting cell types organized within a complex 3D space, forming a dynamic ecosystem that evolves through the development of pre-malignant lesions, tumour initiation, progression, invasion and metastasis. Understanding the operational principles of tumour evolution at a holistic 3D level is critical for improving the ability to intercept and treat cancer early. Emerging technologies in spatial multi-omics and the generation of 3D tumour atlases are beginning to address this critical need. These efforts aim to capture the intricate interactions within precancerous lesions, tumours and their surrounding ecosystems over space and time. In this Review, we highlight emerging tools developed within and beyond the tumour atlas community and explore their potential in constructing comprehensive 3D tumour atlases. Such atlases have the potential to reveal novel biomarkers for risk stratification, early detection, preventive intervention, and transformative diagnostic and treatment strategies. Furthermore, a 3D tumour atlas can generate new insights into the molecular and cellular mechanisms driving human tumour evolution, paving the way for future research and innovation in cancer biology.

Indexed as

Imaging, Three-DimensionalNeoplasmsAnimalsBiomarkers, TumorHumansMultiomicsTranslational Research, BiomedicalBiomarkers, Tumor

Identifiers

PMID42298141

What Socratic 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 Socratic graph.