Evidence map›Paper›PMID 41770629›Full record

ArticleCancer science2026

Single-Cell Analysis Identified a Recurrent Malignant-Associated Transcriptional State in Colorectal Cancer.

Sadahiro Iwabuchi, Kentaro Sawada, Motohiro Kojima, Miho Ozawa, Hiroya Taniguchi, Hideaki Bando, Kazumi Abe, Yuta Kuze, Kiyomi Imamura, Yukie Kashima and 6 more

Abstract read
In one paragraph

Article in Cancer science, 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

16 authors.

Sadahiro IwabuchiDepartment of Molecular Pathophysiology, Institute of Advanced Medicine, Wakayama Medical University, Wakayama-shi, Wakayama, Japan.ORCID https://orcid.org/0000-0003-0434-3054
Kentaro SawadaDepartment of Gastroenterology and Gastrointestinal Oncology, National Cancer Center Hospital East, Kashiwa-shi, Chiba, Japan.
Motohiro KojimaPathology Division, Research Center for Innovative Oncology, National Cancer Center Hospital East, Kashiwa-shi, Chiba, Japan.ORCID https://orcid.org/0000-0002-6150-6545
Miho OzawaDepartment of Gastroenterology and Gastrointestinal Oncology, National Cancer Center Hospital East, Kashiwa-shi, Chiba, Japan.
Hiroya TaniguchiDepartment of Gastroenterology and Gastrointestinal Oncology, National Cancer Center Hospital East, Kashiwa-shi, Chiba, Japan.ORCID https://orcid.org/0000-0003-1407-6682
Hideaki BandoDepartment of Gastroenterology and Gastrointestinal Oncology, National Cancer Center Hospital East, Kashiwa-shi, Chiba, Japan.ORCID https://orcid.org/0000-0001-5041-2765
Kazumi AbeDepartment of Computational Biology and Medical Sciences, Graduate School of Frontier Science, The University of Tokyo, Kashiwa-shi, Chiba, Japan.
Yuta KuzeDepartment of Computational Biology and Medical Sciences, Graduate School of Frontier Science, The University of Tokyo, Kashiwa-shi, Chiba, Japan.
Kiyomi ImamuraDepartment of Computational Biology and Medical Sciences, Graduate School of Frontier Science, The University of Tokyo, Kashiwa-shi, Chiba, Japan.
Yukie KashimaDepartment of Computational Biology and Medical Sciences, Graduate School of Frontier Science, The University of Tokyo, Kashiwa-shi, Chiba, Japan.
Yoshihiko HirohashiDepartment of Pathology, Sapporo Medical University School of Medicine, Sapporo-shi, Hokkaido, Japan.ORCID https://orcid.org/0000-0002-0608-3914
Atsushi TajimaDepartment of Bioinformatics and Genomics, Graduate School of Medical Sciences, Kanazawa University, Kanazawa-shi, Ishikawa, Japan.ORCID https://orcid.org/0000-0001-6808-5491
Toshihiko TorigoeDepartment of Pathology, Sapporo Medical University School of Medicine, Sapporo-shi, Hokkaido, Japan.
Yutaka SuzukiDepartment of Computational Biology and Medical Sciences, Graduate School of Frontier Science, The University of Tokyo, Kashiwa-shi, Chiba, Japan.
Takayuki YoshinoDepartment of Gastroenterology and Gastrointestinal Oncology, National Cancer Center Hospital East, Kashiwa-shi, Chiba, Japan.ORCID https://orcid.org/0000-0002-0489-4756
Shinichi HashimotoDepartment of Molecular Pathophysiology, Institute of Advanced Medicine, Wakayama Medical University, Wakayama-shi, Wakayama, Japan.

Funding

Core Research for Evolutional Science and Technology
6 · The paper itself

Abstract

Colorectal cancer (CRC) exhibits substantial molecular heterogeneity, yet detailed single-cell transcriptomic data from Japanese patients remain limited. Here, we performed single-cell RNA sequencing (scRNA-seq) on tumor tissues and adjacent normal tissues from four Japanese CRC patients to characterize malignant cell populations. We identified a common cancer-associated cell cluster observed across all four cases, characterized by high expression of the long noncoding RNA KCNQ1 opposite strand/antisense transcript 1 (KCNQ1OT1). Further analysis revealed a marked decrease in Ras Association Domain Family Member 6 (RASSF6) expression within this cluster, despite clinical datasets reporting that elevated RASSF6 expression correlates with poor overall survival in Western cohorts. Reanalysis of publicly available bulk RNA-seq data from independent East Asian cohorts confirmed that RASSF6 expression was consistently reduced in tumor tissues compared with adjacent normal colon tissues, while KCNQ1OT1 expression showed no apparent differences across cohorts. Collectively, our single-cell analysis delineates a recurrent cancer-associated transcriptional state observed within this cohort and highlights distinct gene expression features that may be underappreciated by bulk or population-averaged analyses, underscoring the value of single-cell profiling for refining molecular interpretations of CRC.

Indexed as

Colorectal NeoplasmsSingle-Cell AnalysisFemaleGene Expression ProfilingGene Expression Regulation, NeoplasticHumansMalePotassium Channels, Voltage-GatedSingle-Cell Gene Expression AnalysisKCNQ1OT1 long non-coding RNA, humanPotassium Channels, Voltage-Gatedcolorectal cancerFOXQ1KCNQ1OT1RASSF6single cell RNA sequencing

Identifiers

PMID41770629
PMCPMC13134509

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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.