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March 5, 20260 citations

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

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SISadahiro IwabuchiKSKentaro SawadaMKMotohiro Kojima

Key Points

  • To characterize malignant cell populations in colorectal cancer using single-cell transcriptomic analysis.
  • Conducted single-cell RNA sequencing on tumor and normal tissues from four Japanese colorectal cancer patients.
  • Identified common cancer-associated cell clusters characterized by high KCNQ1OT1 expression.
  • Analyzed RASSF6 expression in identified clusters and compared with clinical datasets from Western and East Asian cohorts.
  • Common malignant-associated cell cluster exhibited high expression of KCNQ1OT1 across all samples.
  • RASSF6 expression was significantly reduced in the cancer-associated cell cluster, differing from Western clinical outcomes.
  • Bulk RNA-seq analysis confirmed reduced RASSF6 in tumor tissues versus normal tissues, consistent in East Asian cohorts.

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.

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Cite This Study

Iwabuchi et al. (2026) studied this question.

synapsesocial.com/papers/69a91e12d6127c7a504c196ahttps://doi.org/10.1111/cas.70335
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