Search bioRxiv⌕ Search

bioRxiv · 10.64898/2026.03.11.711101

Lipid-rich ascites reprograms T cell lipid metabolic transcriptome to drive dysfunction

Abstract

PurposeBispecific T cell engagers (BiTEs) have recently been approved as a locoregional immunotherapy for malignant ascites. Although ascites is recognised as a lipid-rich, immunosuppressive environment, the mechanisms by which ascites, particularly its lipid components, suppress antitumour immunity remain poorly understood. Here, we investigated the impact of ascites-associated lipids on T cell immunosuppression and assessed whether lipid modulation could enhance the efficacy of BiTE therapy. Experimental DesignTranscriptomic profiling was performed on T cells treated with acellular ascites fluid to identify gene expression signatures associated with ascites exposure. Functional assays were conducted to evaluate the effects of ascites-associated lipids on T cell activation and cytotoxicity. In parallel, T cells were cocultured with ovarian cancer cells and EpCAM-targeting BiTEs in the presence or absence of a lipid-removal agent to assess how lipid depletion affected BiTE efficacy. ResultsT cells exposed to acellular ascites fluid exhibited an enriched transcriptomic signature associated with cholesterol efflux and incomplete fatty acid oxidation, which are metabolic features often found in exhausted T cells. These alterations converged on a metabolically imbalanced state linked to impaired plasma membrane signalling. Lipid removal from ascites selectively rescued CD137 expression but not CD25, and restored BiTE-mediated cytotoxicity, suggesting a differential impact of lipid metabolism on TCR complex-dependent versus cytokine-driven activation pathways. ConclusionsThese findings identified lipid as a driver for T cell dysfunction in ovarian cancer ascites. Removal of ascites lipids restored T cell activation and augmented BiTE-mediated cytotoxicity, supporting a combination approach to potentiate BiTE therapy in malignant ascites. Translational RelevanceMalignant ascites represents a lipid-rich, immunosuppressive tumour microenvironment that is increasingly targeted by emerging T cell-based therapies. Although EpCAM-targeting bispecific T cell engagers (BiTEs) have recently been approved for malignant ascites and multiple similar BiTEs are in clinical development, the mechanisms by which ascites impairs T cell function and potentially limits therapeutic efficacy remain poorly understood. Using patient-derived ascites throughout, this study demonstrated that lipid metabolic reprogramming, rather than immune checkpoint upregulation, was a driver of T cell dysfunction. Importantly, we demonstrated that lipid removal from ascites rescued T cell function and restored BiTE efficacy, identifying a targetable metabolic barrier to immunotherapy. While EpCAM was used as a proof-of-concept target, we anticipate the metabolic insights and therapeutic strategies identified here will be equally applicable to other BiTE and CAR-T platforms, supporting a new combination approach for the treatment of malignant ascites.

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

Wan, P. K.-T., Albayrak, G., Furtado OMahony, L., Fisher, K., Seymour, L. W.. 2026-03-13. Lipid-rich ascites reprograms T cell lipid metabolic transcriptome to drive dysfunction. https://doi.org/10.64898/2026.03.11.711101

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related preprints

Ex vivo human tumor slices more accurately predict patient responses to an oncolytic virus than in vivo mouse models

Immunotherapies, including oncolytic viruses (OV), are promising therapies that can enhance anti-tumor immune responses. However, preclinical success of immunotherapies in mouse models has not always translated to clinical benefit in cancer patients. This study compared preclinical efficacy and mechanism of action for ASP9801, a vaccinia virus expressing IL-7 and IL-12, using mouse models of colorectal cancer (CRC) in vivo and in human organotypic tumor slice models ex vivo. The murine surrogate for ASP9801 significantly reduced tumor volumes in treated and abscopal tumors in two different CRC models in vivo (MC38 and RO100). Treatment efficacy was accentuated when combined with anti-PD1 treatment, and single-cell RNA sequencing analysis revealed depletion of tumor cells and increased T cell infiltration and activation in both treated and abscopal tumors. However, human tissue analysis ex vivo (E-slices) using PDX models and patient samples showed that ASP9801 is not effective in CRC, consistent with clinical trial results. On the other hand, ASP9801 was highly effective in GBM, indicating indication-specific efficacy of ASP9801, and how E-slice assays can be used to identify treatment-sensitive indications. This study demonstrates the superiority of E-slices over mouse models for predicting clinical response and its utility in planning clinical trials.

cancer biology↗

Immune-cell depleted diffuse large B-cell lymphomas have reduced expression of MHC class I

Immunotherapy has transformed treatment for many cancers. In the aggressive and genetically heterogeneous diffuse large B-cell lymphoma (DLBCL), CD19 CAR T-cell therapy is highly effective, whereas immune checkpoint blockade has shown limited benefit. Loss of MHC expression is a common mechanism to escape T-cell cytotoxicity, and loss of MHC class I (MHC-I) and II are frequent in DLBCL. We applied imaging mass cytometry to diagnostic biopsies from younger, high-risk DLBCL patients to map the tumor microenvironment (TME) spatial architecture in relation to tumor cell MHC expression, mutational status, transcriptomic and proteomic profiles. Neighborhood analyses identified four TME subtypes: immune-cell depleted and three immune-infiltrated types (mixed, CD4 T cell-rich, CD8 T-cell/macrophage-rich). Depleted cases had shorter overall survival (p = 0.033) and increased expression of proteins involved in DNA replication and proliferation markers compared to infiltrated cases. Tumor cell MHC-I expression was heterogeneous. Cases with low frequency of MHC-I-pos tumor cells were enriched for the depleted TME type. MHC-I-pos tumor cells were surrounded by CD4 and CD8 T cells and M1 macrophages, whereas MHC-I-neg tumor cells were closer to other MHC-I-neg tumor cells. These findings suggest that TME-based classification incorporating tumor cell MHC-I status may improve individualized immunotherapy selection.

cancer biology↗

Cross-species analysis links cell-cell communication rewiring to NOTCH2 during serous endometrial carcinogenesis

Cell-cell interactions shape the fate of mutant cells during cancer initiation but how these interactions evolve during progression to pathologically recognizable lesions remain poorly understood. Here, we investigated cell-cell communication during serous endometrial carcinoma (SEC; also known as uterine serous carcinoma) development using a lineage-traceable mouse model and cross-species analyses of the mouse and human neoplastic endometrium. In mice, the early, pre-dysplastic stage was marked by a global decrease in inferred cell-cell interactions, followed by extensive communication network rewiring during neoplastic progression. Pathway-specific analysis revealed a similar pattern for NOTCH signaling, with NOTCH2 emerging as the dominant NOTCH receptor in Trp53/Rb1-mutant immature epithelial cells. Functionally, NOTCH2 promoted the outgrowth of more proliferative mutant organoids. Cross-species transcriptomic analysis identified conserved immature epithelial states in mouse and human neoplastic endometrial epithelium. In human tissues, NOTCH2 was overexpressed in serous endometrial intraepithelial carcinoma, a precursor of SEC, and in overt SEC. Furthermore, elevated NOTCH2 expression was associated with poor patient survival. These findings link cell-cell communication rewiring during experimental SEC development to conserved neoplastic epithelial states and identify NOTCH2 as an early marker and a potential target of disease interception.

cancer biology↗