4.5 Article

Single cell profiling of γδ hepatosplenic T-cell lymphoma unravels tumor cell heterogeneity associated with disease progression

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CELLULAR ONCOLOGY
卷 46, 期 1, 页码 211-226

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SPRINGER
DOI: 10.1007/s13402-022-00745-x

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Hepatosplenic T-cell lymphoma; gamma delta T cells; Single cell RNA-seq; Single cell TCR-seq

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In this study, the researchers generated the first single cell landscape for hepatosplenic T-cell lymphoma (HSTCL) and characterized the molecular pathogenesis underlying the disease progression. They found unique gene expressing signatures in malingnant gamma delta T cells of HSTCL and discovered two transcriptionally distinct tumor subtypes during the disease progression.
Purpose Hepatosplenic T-cell lymphoma (HSTCL), mostly derived from gamma delta T cells, is a rare but very aggressive lymphoma with poor outcomes. In this study, we generated the first single cell landscape for this rare disease and characterized the molecular pathogenesis underlying the disease progression. Methods We performed paired single cell RNA-seq and T cell receptor (TCR) sequencing on biopsies from a HSTCL patient pre- and post- chemotherapy treatments. Following by a series of bioinformatics analysis, we investigated the gene expression profile of gamma delta HSTCS as well as its tumor microenvironment (TME). Results We characterized the unique gene expressing signatures of malignant gamma delta T cells with a set of marker genes were newly identified in HSTCL (AREG, PLEKHA5, VCAM1 etc.). Although the malignant gamma delta T cells were expanded from a single TCR clonotype, they evolved into two transcriptionally distinct tumor subtypes during the disease progression. The Tumor_1 subtype was dominant in pre-treatment samples with highly aggressive phenotypes. While the Tumor_2 had relative mild cancer hallmark signatures but expressed genes associated with tumor survival signal and drug resistance (IL32, TOX2, AIF1, AKAP12, CD38 etc.), and eventually became the main tumor subtype post-treatment. We further dissected the tumor microenvironment and discovered the dynamically rewiring cell-cell interaction networks during the treatment. The tumor cells had reduced communications with the microenvironment post-treatment. Conclusions Our study reveals heterogenous and dynamic tumor and microenvironment underlying pathogenesis of HSTCL and may contribute to identify novel targets for diagnosis and treatment of HSTCL in the future.

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