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SMARCB1 loss defines a novel PTCL-NOS subtype displaying an immunosuppressive TME susceptible to HDAC inhibitors [bulk RNA-seq]

ABSTRACT: Peripheral T-cell lymphoma, not otherwise specified (PTCL-NOS) are aggressive and heterogeneous tumors with poor outcome and scarce genetic characterization. We analyzed by immunohistochemistry tumor tissue of adult and pediatric PTCL-NOS patients and discovered frequent loss of SMARCB1 positivity, mostly associated with pediatric cases (45%). Using a genetically engineered mouse model (PTCL-NOSSmarcb1-) and single-cell RNA sequencing, we investigated the transcriptional landscape of this Smarcb1-negative PTCL-NOS tumor and the functional interactions between tumor and tumor microenvironment (TME). We unrevealed an immunosuppressive, exhausted and proinflammatory TME, characterized by high myeloid cell infiltration (predominantly myeloid derived suppressor cells, MDSC) and reduced lymphoid infiltration. In addition, using a multidrug epigenetic screen in vitro, we identified histone deacetylase inhibitors (HDACi) as promising agents against PTCL-NOSSmarcb1-. Treatment of PTCL-NOSSmarcb1- mice with SAHA, a pan-HDACi, triggered TME remodelling, promoting the replenishment of T- and B-cell compartments and the limitation/reversion of the exhaustion phenotype. In conclusion, we have identified a novel PTCL-NOS subtype characterized by the loss of SMARCB1 at pediatric ages, presenting an exhausted and immunosuppressive TME. Administration of SAHA reshaped the TME increasing lymphoid cells recruitment into the tumor bed, turning the tumor from cold to hot. These results provide the rationale for further investigations based on combination therapies.

ORGANISM(S): Mus musculus

PROVIDER: GSE190273 | GEO | 2024/07/18

REPOSITORIES: GEO

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Project description:Cervical cancer (CC) is one of the most common malignancy in women worldwide. It is characterized by a natural continuous phenomenon, that is, it is in the initial stage of HPV infection, progresses to intraepithelial neoplasia, and then develops into invasion and metastasis. Determining the complexity of tumor microenvironment (TME) can deepen our understanding of lesion progression and provide novel therapeutic strategies for CC. We performed the single-cell RNA sequencing on the normal cervix, intraepithelial neoplasia, primary tumor and metastatic lymph node tissues to describe the composition, lineage, and functional status of immune cells and mesenchymal cells at different stages of CC progression. A total of 59913 single cells were obtained and divided into 9 cellular clusters, including immune cells (T/NK cells, macrophages, B cells, plasma cells, mast cells and neutrophils) and mesenchymal cells (endothelial cells, smooth muscle cells and fibroblasts). Our results showed that there were distinct cell subpopulations in different stages of CC. High-stage intraepithelial neoplasia (HSIL) tissue exhibited a low, recently activated TME, and it was characterized by high infiltration of tissue-resident CD8 T cell, effector NK cells, Treg, DC1, pDC, and M1-like macrophages. Tumor tissue displayed high enrichment of exhausted CD8 T cells, resident NK cells and M2-like macrophages, suggesting immunosuppressive TME. Metastatic lymph node consisted of naive T cell, central memory T cell, circling NK cells, cytotoxic CD8+ T cells and effector memory CD8 T cells, suggesting an early activated phase of immune response. This study is the first to delineate the transcriptome profile of immune cells during CC progression using single-cell RNA sequencing. Our results indicated that HSIL exhibited a low, recently activated TME, tumor displayed immunosuppressive statue, and metastatic lymph node showed early activated phase of immune response. Our study enhanced the understanding of dynamic change of TME during CC progression and has implications for the development of novel treatments to inhibit the initiation and progression of CC.

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SMARCB1 loss defines a novel PTCL-NOS subtype displaying an immunosuppressive TME susceptible to HDAC inhibitors [bulk RNA-seq]

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