Evidence map›Paper›PMID 41073787›Full record

ArticleNature genetics2025

Spatial signatures for predicting immunotherapy outcomes using multi-omics in non-small cell lung cancer.

Thazin N Aung, James Monkman, Jonathan Warrell, Ioannis Vathiotis, Katherine M Bates, Niki Gavrielatou, Ioannis P Trontzas, Chin Wee Tan, Aileen I Fernandez, Myrto Moutafi and 6 more

Abstract read
In one paragraph

Article in Nature genetics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 48 papers.

0numbers the graph read from it
0cells of the map it votes in
48citing 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

48 citing papers in PubMed.

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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

16 authors.

Thazin N Aung *Department of Pathology, Yale University School of Medicine, New Haven, CT, USA.ORCID http://orcid.org/0000-0003-4150-0426
James Monkman *Frazer Institute, Faculty of Medicine, The University of Queensland, Brisbane, Queensland, Australia.ORCID http://orcid.org/0000-0002-7219-8402
Jonathan Warrell *NEC Laboratories America, Princeton Office, Princeton, NJ, USA.ORCID http://orcid.org/0000-0002-1323-4602
Ioannis VathiotisDepartment of Pathology, Yale University School of Medicine, New Haven, CT, USA.
Katherine M BatesDepartment of Pathology, Yale University School of Medicine, New Haven, CT, USA.ORCID http://orcid.org/0000-0001-8956-6331
Niki GavrielatouDepartment of Pathology, Yale University School of Medicine, New Haven, CT, USA.
Ioannis P TrontzasDepartment of Pathology, Yale University School of Medicine, New Haven, CT, USA.
Chin Wee TanFrazer Institute, Faculty of Medicine, The University of Queensland, Brisbane, Queensland, Australia.ORCID http://orcid.org/0000-0001-9695-7218
Aileen I FernandezDepartment of Pathology, Yale University School of Medicine, New Haven, CT, USA.
Myrto MoutafiDepartment of Pathology, Yale University School of Medicine, New Haven, CT, USA.
Ken O' ByrneQueensland University of Technology, Centre for Genomics and Personalized Health, School of Biomedical Sciences, Brisbane, Queensland, Australia.
Kurt A SchalperDepartment of Pathology, Yale University School of Medicine, New Haven, CT, USA.ORCID http://orcid.org/0000-0001-5692-4833
Konstantinos SyrigosOncology Unit, Department of Medicine, University of Athens, Athens, Greece.
Roy S HerbstYale Cancer Center, New Haven, CT, USA.ORCID http://orcid.org/0000-0003-2535-5847
Arutha KulasingheFrazer Institute, Faculty of Medicine, The University of Queensland, Brisbane, Queensland, Australia. arutha.kulasinghe@uq.edu.au.ORCID http://orcid.org/0000-0003-3224-7350
David L RimmDepartment of Pathology, Yale University School of Medicine, New Haven, CT, USA. david.rimm@yale.edu.ORCID http://orcid.org/0000-0001-5820-4397

Funding

Yale Pathology Tissue Services Shared ResourceP30CA016359 · NCI · YALE UNIVERSITY · PI Eric P. Winer · 1985 to 2026
$85.0M
Yale SPORE in Lung Cancer (YSILC): The Biology and Personalized Treatment of Lung CancerP50CA196530 · NCI · YALE UNIVERSITY · PI Harriet M. Kluger · 2015 to 2026
$31.1M
High Performance Computing Instrumentation for the Yale Center for Genome AnalysisS10OD030363 · OD · YALE UNIVERSITY · PI MANE, SHRIKANT M · 2022 to 2022
$1.2M
NCI NIH HHS P30 CA016359NCI NIH HHS P50 CA196530NIH HHS S10 OD030363
6 · The paper itself

Abstract

Non-small cell lung cancer (NSCLC) shows variable responses to immunotherapy, highlighting the need for biomarkers to guide patient selection. We applied a spatial multi-omics approach to 234 advanced NSCLC patients treated with programmed death 1-based immunotherapy across three cohorts to identify biomarkers associated with outcome. Spatial proteomics (n = 67) and spatial compartment-based transcriptomics (n = 131) enabled profiling of the tumor immune microenvironment (TIME). Using spatial proteomics, we identified a resistance cell-type signature including proliferating tumor cells, granulocytes, vessels (hazard ratio (HR) = 3.8, P = 0.004) and a response signature, including M1/M2 macrophages and CD4 T cells (HR = 0.4, P = 0.019). We then generated a cell-to-gene resistance signature using spatial transcriptomics, which was predictive of poor outcomes (HR = 5.3, 2.2, 1.7 across Yale, University of Queensland and University of Athens cohorts), while a cell-to-gene response signature predicted favorable outcomes (HR = 0.22, 0.38 and 0.56, respectively). This framework enables robust TIME modeling and identifies biomarkers to support precision immunotherapy in NSCLC.

Indexed as

Carcinoma, Non-Small-Cell LungImmunotherapyLung NeoplasmsAgedBiomarkers, TumorFemaleGene Expression ProfilingHumansMaleMiddle AgedMultiomicsPrognosisProteomicsTranscriptomeTreatment OutcomeTumor MicroenvironmentBiomarkers, Tumor

Identifiers

PMID41073787
PMCPMC12513832

What OpenQuestion holds

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Registered trials

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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.