Evidence map›Paper›PMID 42482342›Full record

ArticleClinical and translational medicine2026

Pan-cancer atlas of cellular architecture reveals a nearest-neighbour distance-associated biomechanical-immune axis involving CD4+ memory T cells.

Linglong Huang, Arne Östman, Yunfan Sun

Abstract read
In one paragraph

Article in Clinical and translational medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

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1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Linglong HuangDepartment of Oncology-Pathology, Karolinska Institutet, Stockholm, Sweden.ORCID 0000-0001-9709-0492
Arne ÖstmanDepartment of Oncology-Pathology, Karolinska Institutet, Stockholm, Sweden.
Yunfan SunDepartment of Hepatobiliary Surgery and Liver Transplantation, Zhongshan Hospital, Fudan University, Shanghai, China.

Funding

Swedish Cancer Society 2022-2024Swedish Cancer Society 2025-2027Swedish Cancer Society 21-1761PjSwedish Cancer Society 24-3799PjSwedish Research Council 2023-01899Swedish Research Council 2024-2026
6 · The paper itself

Abstract

backgroundThe systematic link between cellular spatial organization and its biomechanical consequences remains a critical knowledge gap in human oncology.

objectiveTo quantitatively map the cellular architecture of solid tumours and elucidate its mechanistic impact on mechanical signalling, immune infiltration, and patient survival.

methodsWe developed a scalable digital pathology framework, processing 7910 H&E whole-slide images across 21 solid tumours. A deep learning pipeline was employed to segment over 4.7 billion nuclei, enabling the calculation of cell density and nearest neighbour distance (NND) as key spatial metrics. To bridge morphology and function, we integrated these metrics with bulk RNA-seq data from 19 TCGA cohorts (n = 7401) using rigorous histological matching. Furthermore, to resolve microenvironmental heterogeneity, we performed unsupervised clustering of over 60 000 T-cell transcriptomes from independent cohorts. These findings were validated through high-resolution Visium-HD spatial transcriptomics to correlate physical proximity with localized gene expression.

resultsWhile tumours exhibited significant heterogeneity, NND, but not cell density, emerged as a primary determinant of biomechanical and immune signatures. A trend-level association was observed between lower NND and higher Hippo/YAP/TAZ pathway activity across nine matched cancer types (Spearman's ρ = -.65, p = .058, n = 9). In addition, lower NND was significantly correlated with increased CD4

conclusionOur study identifies low NND as a spatial correlate of biomechanical crowding that is associated with CD4

Indexed as

CD4-Positive T-LymphocytesMemory T CellsNeoplasmsBiomechanical PhenomenaHumansTumor MicroenvironmentCD4 memory T‐celldigital pathologyHippo pathwaymechanical stressmulti‐omics integrationnearest neighbour distancespatial analysissurvival analysistumour microenvironment

Identifiers

PMID42482342
PMCPMC13388988

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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.