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Chronological genome and single-cell transcriptome integration characterizes the evolutionary process of adult T cell leukemia-lymphoma

Author

Listed:
  • Makoto Yamagishi

    (The University of Tokyo)

  • Miyuki Kubokawa

    (The University of Tokyo)

  • Yuta Kuze

    (The University of Tokyo)

  • Ayako Suzuki

    (The University of Tokyo)

  • Akari Yokomizo

    (The University of Tokyo)

  • Seiichiro Kobayashi

    (Kanto Rosai Hospital)

  • Makoto Nakashima

    (The University of Tokyo)

  • Junya Makiyama

    (Sasebo City General Hospital)

  • Masako Iwanaga

    (Nagasaki University Graduate School of Biomedical Sciences)

  • Takahiro Fukuda

    (National Cancer Center Hospital)

  • Toshiki Watanabe

    (St. Marianna University)

  • Yutaka Suzuki

    (The University of Tokyo)

  • Kaoru Uchimaru

    (The University of Tokyo)

Abstract

Subclonal genetic heterogeneity and their diverse gene expression impose serious problems in understanding the behavior of cancers and contemplating therapeutic strategies. Here we develop and utilize a capture-based sequencing panel, which covers host hotspot genes and the full-length genome of human T-cell leukemia virus type-1 (HTLV-1), to investigate the clonal architecture of adult T-cell leukemia-lymphoma (ATL). For chronologically collected specimens from patients with ATL or pre-onset individuals, we integrate deep DNA sequencing and single-cell RNA sequencing to detect the somatic mutations and virus directly and characterize the transcriptional readouts in respective subclones. Characteristic genomic and transcriptomic patterns are associated with subclonal expansion and switches during the clinical timeline. Multistep mutations in the T-cell receptor (TCR), STAT3, and NOTCH pathways establish clone-specific transcriptomic abnormalities and further accelerate their proliferative potential to develop highly malignant clones, leading to disease onset and progression. Early detection and characterization of newly expanded subclones through the integrative analytical platform will be valuable for the development of an in-depth understanding of this disease.

Suggested Citation

  • Makoto Yamagishi & Miyuki Kubokawa & Yuta Kuze & Ayako Suzuki & Akari Yokomizo & Seiichiro Kobayashi & Makoto Nakashima & Junya Makiyama & Masako Iwanaga & Takahiro Fukuda & Toshiki Watanabe & Yutaka , 2021. "Chronological genome and single-cell transcriptome integration characterizes the evolutionary process of adult T cell leukemia-lymphoma," Nature Communications, Nature, vol. 12(1), pages 1-16, December.
  • Handle: RePEc:nat:natcom:v:12:y:2021:i:1:d:10.1038_s41467-021-25101-9
    DOI: 10.1038/s41467-021-25101-9
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