Evidence map›Paper›PMID 42664957›Full record

ArticleCell reports. Medicine2026

Pan-tumor spatial transcriptomics reveals conserved properties of tumor organization.

Vivek Behera, Alexander Guzzetta, Hannah Giba, Ue-Yu Pen, Anna Di Lello, Bipul Pandey, Benjamin A Doran, Alessandra Esposito, Apameh Pezeshk, Aliya Husain and 4 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Cell reports. Medicine, 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

14 authors.

Vivek BeheraDepartment of Medicine, Section of Hematology/Oncology, University of Chicago, Chicago, IL 60637, USA; Duchossois Family Institute, University of Chicago, Chicago, IL 60637, USA.
Alexander GuzzettaDepartment of Pathology, University of Chicago, Chicago, IL 60637, USA.
Hannah GibaDuchossois Family Institute, University of Chicago, Chicago, IL 60637, USA; Department of Pathology, University of Chicago, Chicago, IL 60637, USA.
Ue-Yu PenDuchossois Family Institute, University of Chicago, Chicago, IL 60637, USA; Department of Pathology, University of Chicago, Chicago, IL 60637, USA.
Anna Di LelloDepartment of Medicine, Section of Hematology/Oncology, University of Chicago, Chicago, IL 60637, USA.
Bipul PandeyDuchossois Family Institute, University of Chicago, Chicago, IL 60637, USA; Department of Pathology, University of Chicago, Chicago, IL 60637, USA.
Benjamin A DoranDuchossois Family Institute, University of Chicago, Chicago, IL 60637, USA; Pritzker School of Molecular Engineering, University of Chicago, Chicago, IL 60637, USA.
Alessandra EspositoDepartment of Medicine, Section of Hematology/Oncology, University of Chicago, Chicago, IL 60637, USA.
Apameh PezeshkDepartment of Medicine, Section of Hematology/Oncology, University of Chicago, Chicago, IL 60637, USA.
Aliya HusainDepartment of Pathology, University of Chicago, Chicago, IL 60637, USA.
Christine M BestvinaDepartment of Medicine, Section of Hematology/Oncology, University of Chicago, Chicago, IL 60637, USA.
Justin KlineDepartment of Medicine, Section of Hematology/Oncology, University of Chicago, Chicago, IL 60637, USA.
Marina C GarassinoDepartment of Medicine, Section of Hematology/Oncology, University of Chicago, Chicago, IL 60637, USA.
Arjun S RamanDuchossois Family Institute, University of Chicago, Chicago, IL 60637, USA; Department of Pathology, University of Chicago, Chicago, IL 60637, USA; Center for the Physics of Evolving Systems, University of Chicago, Chicago, IL 60637, USA. Electronic address: araman@bsd.uchicago.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Tumor microenvironments (TMEs) are compositionally and functionally heterogeneous, making it challenging to discover organizing structural principles. Through a study of 262 solid tumors profiled by spatial transcriptomics, we identify a conserved architecture where TMEs are partitioned into discrete, hierarchically organized multicellular sub-regions, which we term "spatial groups" (SGs). As indicated by orthogonal spatial measurements and expert pathologist review, SGs associate with recognizable biological domains spanning global tissue context to local cellular neighborhoods. Comparing tumors through SGs reveals a pan-tumor classification where the dominant axis of variation is spatial heterogeneity of immune biology. In an independent, retrospective cohort of non-small cell lung cancer patients treated with immune checkpoint blockade (ICB; n = 16), pan-tumor spatial biology classification distinguishes clinical response and captures structural and biological hallmarks associated with ICB sensitivity. Together, these findings suggest that SGs may be important organizing domains of the TME that relate spatial structure, biological function, and response to therapy.

Indexed as

Carcinoma, Non-Small-Cell LungLung NeoplasmsNeoplasmsTranscriptomeTumor MicroenvironmentGene Expression Regulation, NeoplasticHumansSpatial Transcriptomicscomputational biologyimmunotherapymachine learningspatial transcriptomicssystems biologytumor microenvironment

Identifiers

PMID42664957
PMCPMC13589502

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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.