Evidence map›Paper›PMID 41107552›Full record

ArticleBritish journal of cancer2026

Pan-cancer analysis of RNA expression signatures associated with cancer tissue architecture.

Megumi Mogi, Katsushige Kawase, Hiroyoshi Y Tanaka, Suguru Miyata, Satoko Takemoto, Hideki Ikeda, Eri Katayama, Yuki Nakamura, Ryuta Kojima, Takao Morinaga and 5 more

Abstract read
In one paragraph

Article in British journal of 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

15 authors.

Megumi MogiDivision of Cell Therapy, Chiba Cancer Center Research Institute, Chiba, Japan.
Katsushige KawaseDivision of Cell Therapy, Chiba Cancer Center Research Institute, Chiba, Japan.ORCID http://orcid.org/0000-0001-6998-8481
Hiroyoshi Y TanakaDepartment of Pharmaceutical Biomedicine, Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University, Okayama, Japan.ORCID http://orcid.org/0000-0003-1494-7716
Suguru MiyataDivision of Cell Therapy, Chiba Cancer Center Research Institute, Chiba, Japan.
Satoko TakemotoImage Processing Research Team, RIKEN Center for Advanced Photonics, RIKEN, Saitama, Japan.
Hideki IkedaDivision of Cell Therapy, Chiba Cancer Center Research Institute, Chiba, Japan.
Eri KatayamaDivision of Cell Therapy, Chiba Cancer Center Research Institute, Chiba, Japan.
Yuki NakamuraDivision of Cell Therapy, Chiba Cancer Center Research Institute, Chiba, Japan.
Ryuta KojimaDivision of Cell Therapy, Chiba Cancer Center Research Institute, Chiba, Japan.
Takao MorinagaDivision of Cell Therapy, Chiba Cancer Center Research Institute, Chiba, Japan.
Shihori TanabeDivision of Risk Assessment, Center for Biological Safety and Research, National Institute of Health Sciences, Kawasaki, Japan.ORCID http://orcid.org/0000-0003-3706-0616
Syuji YonekuraDepartment of Otorhinolaryngology/Head & Neck Surgery, Graduate School of Medicine, Chiba University, Chiba, Japan.
Mitsunobu R KanoDepartment of Pharmaceutical Biomedicine, Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University, Okayama, Japan.
Toyoyuki HanazawaDepartment of Otorhinolaryngology/Head & Neck Surgery, Graduate School of Medicine, Chiba University, Chiba, Japan.
Masahito KawazuDivision of Cell Therapy, Chiba Cancer Center Research Institute, Chiba, Japan. mkawz-tky@umin.ac.jp.ORCID http://orcid.org/0000-0003-4146-3629

Funding

Japan Agency for Medical Research and Development (AMED) JP21cm0106502Japan Agency for Medical Research and Development (AMED) JP21mk0101216Japan Agency for Medical Research and Development (AMED) JP22ck0106723Japan Agency for Medical Research and Development (AMED) JP22ck0106724Japan Agency for Medical Research and Development (AMED) JP22mk0101216Japan Agency for Medical Research and Development (AMED) JP23ama221528Japan Agency for Medical Research and Development (AMED) JP23mk0101216MEXT | Japan Society for the Promotion of Science (JSPS) 21H02772MEXT | Japan Society for the Promotion of Science (JSPS) 21K12133MEXT | Japan Society for the Promotion of Science (JSPS) 23K06279MEXT | Japan Society for the Promotion of Science (JSPS) 24K11756
6 · The paper itself

Abstract

backgroundTissue architecture of cancer deviates from that of normal tissue and is closely linked to various features of cancer, including invasion and tumor immunity. However, pan-cancer analyses of cancer tissue architecture (CTA) remain limited.

methodsWe applied non-negative matrix factorization to the expression data of 593 CTA-related genes from 28 cancer types in the Cancer Genome Atlas Project dataset, identifying seven distinct CTA signatures.

resultsA fibrous collagen-related signature, which is related to fibroblasts and the extracellular matrix, was relatively ubiquitous and represents a universal feature of cancer. In contrast, those associated with cell-cell adhesion or cell-stroma adhesion exhibited high tissue specificity. These findings were validated using Pan-Cancer Analysis of Whole Genomes data, spatial transcriptomics, and in vivo and in vitro models. In renal cell carcinoma, we found a strong correlation between network-forming collagen and patient survival, supported by mouse experiments showing that perturbation of this collagen promotes tumor growth. Additionally, several gene mutations and copy number alterations were found to correlate with changes in CTA.

conclusionOur results suggest that CTA can be understood as a combination of components that influence the pathological features of cancer.

Indexed as

NeoplasmsTranscriptomeAnimalsCollagenExtracellular MatrixGene Expression ProfilingGene Expression Regulation, NeoplasticHumansMiceMutationCollagen

Identifiers

PMID41107552
PMCPMC12764458

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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.