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

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Authors: Sadahiro Iwabuchi, Kentaro Sawada, Motohiro Kojima, Miho Ozawa, Hiroya Taniguchi, Hideaki Bando, Kazumi Abe, Yuta Kuze, Kiyomi Imamura, Yukie Kashima, Yoshihiko Hirohashi, Atsushi Tajima
+4 more Toshihiko Torigoe, Yutaka Suzuki, Takayuki Yoshino, Shinichi Hashimoto
Cited by: 0

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.

Fields of Study & Subjects

Single-cell and spatial transcriptomics Cancer-related molecular mechanisms research Colorectal Cancer Treatments and Studies

Publication details

Journal / source
Cancer Science
Volume
117
Issue
5
Pages
1397–1411
Publication date
2 March 2026
Language
EN