Biology subjects

Ibanez-Molero, S.

Publications and source records attributed to Ibanez-Molero, S..

4 recordsLinked to original sources

bioRxiv2026

CMAS dampens anti-tumor immunity and associates with response to neoadjuvant immunotherapy in melanoma

Identifying immune-regulatory pathways to predict response is crucial for the efficacy of immune checkpoint blockade (ICB) immunotherapies. Sialylation is upregulated in tumor cells and modulates immune responses in cancer, yet its impact on patient clinical outcome and the spatial organization of the tumor microenvironment remain unclear. Here, using publicly available single-cell RNA sequencing data we show that expression of the sialylation master regulator CMAS in melanoma cells correlates with poorer patient survival. Using a murine melanoma model, we demonstrate that Cmas deletion in tumor cells severely impaired tumor growth and improved anti-tumor lymphoid and myeloid cell responses, increasing tumor cell-intrinsic susceptibility to interferon-gamma-, CD4+ T cell-, and macrophage-mediated killing. Single-cell spatial transcriptomics on neoadjuvant ICB-treated melanoma patient tumor biopsies revealed that CMAS expression in tumor cells inversely correlated with tumor cell proximity to and activation status of T cells and macrophages. Furthermore, expression of CMAS in tumor cells was increased in patients who did not respond to immunotherapy, compared to responders. Overall, our work identifies CMAS as a key modulator of tumor-immune dynamics associated with survival and response to neoadjuvant ICB immunotherapy in melanoma patients.

cancer biology↗

bioRxiv2025

Decoding interaction-induced proteome changes in co-cultures with hybrid quantification and SILAC-directed real-time search

Intercellular communication between T cells and cancer cells plays a pivotal role in determining cancer cell survival or death. Yet, our understanding of this interaction remains incomplete. Methods to study heterotypic cell interactions are either limited to targeted studies relying on predefined set of proteins, or require cell separation, thus disrupting the native environment. Stable isotope labeling by amino acids in cell culture (SILAC) enables proteome distinction in heterologous co-cultures without the need for physical separation. But dynamic studies remain constrained by the need for numerous mass spectrometry (MS) runs, the challenges in detecting low-abundant proteins, particularly in immune cells and the limited data completeness due to the use of data-dependent MS1-based precursor quantification. To overcome these limitations, we evaluate the integration of SILAC with tandem mass tag (TMT) multiplexing and SILAC-directed real-time search (RTS). TMT labeling enables simultaneous analysis of multiple samples, while RTS-MS3 acquisition using SILAC-induced mass shifts as fixed modifications triggers MS3 scans for specific proteome populations within a mixed cell system, improving quantitative accuracy and proteome coverage for target protein populations. We benchmarked our acquisition methods using SILAC-labeled samples mixed at defined ratios and validated the approach in biologically relevant co-culture experiments. Additionally, we introduced a carrier channel to enhance detection of lower-abundant T cell proteins, while maintaining acceptable quantitative precision. Our results demonstrate that the combined SILAC-TMT-RTS strategy dramatically improves proteome depth, temporal resolution, and cell-type specificity for short-term co-culture interaction proteomics studies. In co-culture samples of T cells with non-small cell lung cancer cell lines that were either sensitive or resistant to T cell killing, our method revealed candidate mechanisms underlying their differential sensitivity. Our integrated approach combining SILAC, TMT and RTS to resolve cell-specific proteome dynamics in co-culture represents a novel and powerful advance.

cancer biology↗

bioRxiv2023

Phosphoprotein dynamics of interacting tumor and T cells by HySic

Functional interactions between cytotoxic T cells and tumor cells are central to anti-cancer immunity. Some of the proteins involved, particularly immune checkpoints expressed by T cells, serve as promising clinical targets in immunotherapy. However, our understanding of the complexity and dynamics of the interactions between tumor cells and T cells is only rudimentary. Here we present HySic (for Hybrid quantification of SILAC (Stable Isotope Labelling by Amino acids in Cell culture)-labeled interacting cells) as an innovative method to quantify protein and phosphorylation dynamics between and within physically interacting (heterotypic) cells. We show that co-cultured HLA/antigen-matched tumor and T cells engage in physical and stable interactions, allowing for in-depth HySic analysis. This method does not require physical separation of the two cell types for subsequent MS proteome and phosphoproteome measurement using label free quantification (LFQ). We demonstrate that HySic can be used to unravel proteins contributing to functional T cell:tumor cell interactions. We validated HySic with established interactions, including those mediating IFN{gamma} signaling. Using HySic we identified the RHO/RAC/PAK1 signaling pathway to be activated upon interaction of T cells and tumor cells. Pharmacologic inhibition of PAK1 sensitized tumor cells to T cell killing. Thus, HySic is an innovative and simple method to study short-term protein signaling dynamics in physically interacting cells, which can be easily extended to other biological systems.

cancer biology↗

bioRxiv2019

SPINT1 regulates the aggressiveness of skin cutaneous melanoma and its crosstalk with tumor immune microenvironment

Skin cutaneous melanoma (SKCM) is the deadliest form of skin cancer and while incidence rates are declining for most cancers, they have been steadily rising for SKCM worldwide. Serine protease inhibitor, kunitz-type, 1 (SPINT1) is a type II transmembrane serine protease inhibitor that has been shown to be involved in the development of several types of cancer. We report here a high prevalence of SPINT1 genetic alterations in SKCM patients and their association with altered tumor immune microenvironment and poor patient survival. We used the unique advantages of the zebrafish to model the impact of SPINT1 deficiency in early transformation, progression and metastatic invasion of SKCM. Our results reveal that Spint1a deficiency facilitates oncogenic transformation, regulates the tumor/immune microenvironment crosstalk, accelerates the onset of SKCM and promotes metastatic invasion. Notably, Spint1a deficiency is required at both cell autonomous and nonautonomous levels to enhance invasiveness of SKCM. These results suggest the relevance of clinical intervention on this signaling pathway for precision SKCM medicine.\n\nSummary statementA zebrafish model shows that Spint1a deficiency facilitates oncogenic transformation, regulates the tumor/immune microenvironment crosstalk, accelerates the onset of SKCM, and promotes metastatic invasion in cell autonomous and non-autonomous manners.

cancer biology↗