4.8 Article

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

Journal

NATURE COMMUNICATIONS
Volume 12, Issue 1, Pages -

Publisher

NATURE PORTFOLIO
DOI: 10.1038/s41467-021-25101-9

Keywords

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Funding

  1. AMED [JP20fk0108126, JP20ak0101086, JP20wm0325017, JP20ck0106616, 19ck0106256]
  2. JSPS KAKENHI [JP18K08317, JP19H03575, JP21K08386, JP16H06277]

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The study developed a capture-based sequencing panel and identified distinct genomic and transcriptomic features associated with subclonal evolution in Adult T-cell leukemia-lymphoma (ATL). Subclonal genetic heterogeneity and diverse gene expression present serious challenges in understanding cancer behavior and therapeutic strategies.
Characterising the clonal architecture of Adult T-cell leukemia-lymphoma (ATL) remains crucial. Here, the authors develop a capture-based sequencing panel and use deep DNA and single cell RNA sequencing and report distinct genomic and transcriptomic features associated with subclonal evolution. 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.

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