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Yangüez, E.

Publications and source records attributed to Yangüez, E..

2 recordsLinked to original sources

PD-1-Targeted IL-2v Expands a Novel Stem-like T Cell Subset Distinct from Anti-PD-1 Therapy to Enhance Effector Differentiation

Tumor-draining lymph nodes serve as critical sites for the generation, maintenance and differentiation of stem-like CD8 T cells during antitumor immune responses. Recent evidence has shown that delivering interleukin-2 to PD1 stem-like CD8 T cells using PD1-IL2v, an immunocytokine combining PD-1 blockade and IL-2R agonism, promotes their differentiation into potent effector cells with enhanced tumor-killing capacity. However, it remains unclear how targeted interleukin-2 therapies imprint early stem-like T-cell differentiation programs. Here, using single-cell transcriptomics and T-cell receptor sequencing in murine pancreatic tumor models, we demonstrate that PD1-IL2v induces an early bifurcation in the differentiation of stem-like CD8 T cells within tumor-draining lymph nodes. We identify an effector-primed stem-like population characterized by the expression of interferon-response genes, natural killer cell receptor genes, and Cx3cr1, consistent with activation of interleukin-2 and STAT5-associated programs. Clonal tracking revealed substantial overlap between these lymph node-derived cells and intratumoral effector populations, supporting a developmental relationship between early priming in lymph nodes and downstream effector differentiation. In contrast, an alternative stem-like state that displayed features associated with T-cell exhaustion, including increased Tox expression, was observed upon PD-1 therapy. Together, these findings identify an early branch point in stem-like T-cell differentiation and provide mechanistic insight into how PD1-IL2v circumvents exhaustion pathways to preferentially generate functional antitumor immunity.

immunology↗

Charting the Heterogeneity of Colorectal Cancer Consensus Molecular Subtypes using Spatial Transcriptomics

The heterogeneity of colorectal cancer (CRC) contributes to substantial differences in patient response to standard therapies. The consensus molecular subtypes (CMS) of CRC is the most widely-used gene expression-based classification and has contributed to a better understanding of disease heterogeneity and prognosis. Nevertheless, CMS intratumoral heterogeneity restricts its clinical application, stressing the necessity of further characterizing the composition and architecture of CRC. Here, we used Spatial Transcriptomics (ST) in combination with single-cell RNA sequencing (scRNA-seq) to decipher the spatially resolved cellular and molecular composition of CRC. In addition to mapping the intratumoral heterogeneity of CMS and their microenvironment, we identified cell communication events in the tumor-stroma interface of CMS2 carcinomas. This includes tumor growth-inhibiting as well as -activating signatures, such as the potential regulation of the ETV4 transcriptional activity by DCN or the PLAU-PLAUR ligand-receptor interaction. Our data show the power of ST to bring the CMS-based classification of CRC to another level and thereby gain useful molecular insights for personalized therapy.

cancer biology↗