Biology subjects

Fassnacht, M.

Publications and source records attributed to Fassnacht, M..

6 recordsLinked to original sources

bioRxiv2025

Glutamine antagonism suppresses tumor growth in adrenocortical carcinoma through inhibition of de novo nucleotide biosynthesis

Dysregulation of cellular metabolism is a hallmark of cancer, which remains poorly understood in adrenocortical carcinoma (ACC). Here, we dissected ACC metabolism by integrating transcriptional profiling from human and mouse ACC, targeted tissue metabolomics from a mouse ACC model, and untargeted serum metabolomics from a large patient cohort, providing cross-species validation of metabolic rewiring in ACC. This study revealed global metabolic dysregulation, involving glutamine-dependent pathways such as non-essential amino-acid and hexosamine biosynthesis, nucleotide metabolism, and glutathione biosynthesis, suggesting glutamine catabolism is a critical metabolic vulnerability in ACC. Treatment with glutamine antagonists 6-Diazo-5-Oxo-L-Norleucine (DON) and JHU-083 elicited robust anti-tumor responses. Mechanistic studies revealed DONs anti-tumor effect was primarily driven by selective inhibition of glutamine-fueled de novo nucleotide biosynthesis. Additionally, DON led to DNA damage, which yielded potent synergism with inhibition of the DNA damage response pathway. Collectively, this work highlights glutamine metabolism as a central metabolic dependency and therapeutic target in ACC. HighlightsO_LIMouse and human ACC share conserved transcriptional-metabolic programs, revealing Gln metabolism as a central, targetable vulnerability. C_LIO_LITargeted tissue metabolomic analysis in a mouse model of ACC validates dysregulation in Gln-dependent metabolic pathways. C_LIO_LITargeting of Gln metabolism with JHU-083 (6-diazo-5-oxo-L-norleucine (DON) pro-drug) achieves marked inhibition of tumor growth in vivo. C_LIO_LIHigh expression of Gln-metabolizing genes mediating de novo nucleotide biosynthesis is associated with poor prognosis in ACC. C_LIO_LIDON drives nucleotide depletion and DNA damage, leading to potent synergy with inhibition of the DNA damage response. C_LIO_LIUntargeted serum metabolomic analysis in a large cohort of patients with adrenal tumors demonstrates dysregulation of Gln and nucleotide metabolism in ACC. C_LI

cancer biology↗

bioRxiv2025

Autocrine glucocorticoid signaling in hormonally active cancer induces antigen expression for immunotherapy

Exogenous glucocorticoids (GCs) suppress T cell-based immunotherapy, yet the consequences of endogenous GCs produced or regenerated by tumours remain poorly understood. Here, we show that tumour-derived GCs couple immune evasion to therapeutic antigenicity. In adrenocortical carcinoma, autonomous GC production activates hGR-STAT3 signaling to increase the surface antigen ROR1. This creates an immunological paradox in which GC excess promotes therapeutic antigen expression while suppressing T cell-mediated antitumor activity. Selective hGR-knockout renders ROR1 CAR-T cells GC-resistant while preserving GC-driven ROR1 expression in tumor cells, resulting in durable tumor control in vivo. Non-endocrine pancreatic and triple-negative breast cancers recreate this circuit through HSD11B1-mediated GC recycling, which is further induced by CAR-T cell-derived cytokines under immune pressure. Thus, GC-resistant CAR-T cells exploit a tumor-derived endocrine program that couples immune suppression to therapeutic antigenicity.

cancer biology↗

bioRxiv2024

Dlk1 is a novel adrenocortical stem/progenitor cell marker that predicts malignancy in adrenocortical carcinoma

Disruption of processes involved in tissue development and homeostatic self-renewal is increasingly implicated in cancer initiation, progression, and recurrence. The adrenal cortex is a dynamic tissue that undergoes life-long turnover. Here, using genetic fate mapping and murine adrenocortical carcinoma (ACC) models, we have identified a population of adrenocortical stem cells that express delta-like non-canonical Notch ligand 1 (DLK1). These cells are active during development, near dormant postnatally but are re-expressed in ACC. In a study of over 200 human ACC samples, we have shown DLK1 expression is ubiquitous and is an independent prognostic marker of recurrence-free survival. Paradoxically, despite its progenitor role, spatial transcriptomic analysis has identified DLK1 expressing cell populations to have increased steroidogenic potential in human ACC, a finding also observed in four human and one murine ACC cell lines. Finally, the cleavable DLK1 ectodomain is measurable in patients serum and can discriminate between ACC and other adrenal pathologies with high sensitivity and specificity to aid in diagnosis and follow-up of ACC patients. These data demonstrate a prognostic role for DLK1 in ACC, detail its hierarchical expression in homeostasis and oncogenic transformation and propose a role for its use as a biomarker in this malignancy. Graphical abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=160 SRC="FIGDIR/small/609117v1_ufig1.gif" ALT="Figure 1"> View larger version (51K): org.highwire.dtl.DTLVardef@12aba74org.highwire.dtl.DTLVardef@374daaorg.highwire.dtl.DTLVardef@cbdc37org.highwire.dtl.DTLVardef@1e6aeac_HPS_FORMAT_FIGEXP M_FIG C_FIG Statement of significanceThis study presents DLK1 as a novel biomarker in ACC with opportunities for use in the diagnosis, prognosis and longitudinal follow up of patients. DLK1, a marker of adrenocortical stem cells, is re-expressed in ACC, is measurable in patients serum and is associated with increased malignancy.

cancer biology↗

bioRxiv2023

Cellular landscape of adrenocortical carcinoma at single-nuclei resolution

Adrenocortical carcinoma (ACC) is a rare yet devastating tumour of the adrenal gland with a molecular pathology that remain incompletely understood. To gain novel insights into the cellular landscape of ACC, we generated single-nuclei RNA sequencing (snRNA-seq) data sets from twelve ACC tumour samples and analysed these alongside a previously published snRNA-seq data set from normal adrenal glands (NAGs). We find the ACC tumour microenvironment to be relatively devoid of immune cells compared to NAG tissues, consistent with known high tumour purity values for ACC as an immunologically "cold" tumour. Our analysis identifies three separate groups of ACC samples that are characterised by different relative compositions of adrenocortical cell types, including two populations (ACC 1 and ACC 2) that are specifically enriched in the most aggressive tumours and display hallmarks of the epithelial to mesenchymal transition (EMT) and dysregulated steroidogenesis, respectively. In addition to cell types associated with hypoxic and metabolic signatures (ACC 3 and ACC 4) prevalent among less-aggressive tumours, we also identified and validated a population of mitotically active adrenocortical cells (ACC M) strongly overexpressing genes POLQ and DIAPH3 that possibly supports the expansion of malignant cell lineages. The smallest identified ACC specific cell type, ACC 5, displays characteristics of increased proliferation and growth factor signalling, and is therefore a potential progenitor-like or cell-of-origin candidate for the different lineages involved in adrenocortical carcinogenesis. Intriguingly, linage tracing suggests the fate adopted by malignant adrenocortical cells upon differentiation appears to be at least partly associated with the copy number or allelic balance state of the imprinted DLK1/MEG3 genomic locus, which we verified by assessing DNA methylation status among samples from the three groups of tumours defined by their different cell type compositions. Our results therefore provide new insights into the cellular heterogeneity of ACC, indicating that genetic perturbations to a hierarchical cellular differentiation mechanism underlying healthy adrenocortical renewal and zonation may explain the molecular basis for disease pathogenesis.

cancer biology↗

bioRxiv2022

Cell Atlas at Single-Nuclei Resolution of the Adult Human Adrenal Gland and Adrenocortical Adenomas

The human adrenal gland is a complex endocrine tissue. Developmental studies on this tissue have been limited to animal models or human foetus. Here, we present a cell atlas analysis of the adult human normal adrenal gland, combining single-nuclei RNA sequencing and spatial transcriptome data to reconstruct adrenal gland development and tumourigenesis. We identified two populations of potential progenitor cells resident within the adrenal cortex: adrenocortical progenitors NR2F2+-ID1+ cells, located within and underneath the capsule, and medullary progenitors SYT1+-CHGA- cells, located in islets in the subcapsular region. Using pseudotime analyses, we provided evidence of the centripetal nature of adrenocortical cell development and of the essential role played by the Wnt/{beta}-catenin pathway in the adrenocortical self-renewal. By comparing transcriptional profiles of cells of normal adrenal glands and adrenocortical adenomas we revealed a high heterogeneity with six adenoma-specific clusters. Overall, our results give insights into adrenal plasticity and mechanisms underlying adrenocortical tumourigenesis.

physiology↗

bioRxiv2019

Network Topology Dynamics of Circulating Biomarkers and Cognitive Performance in Older Cytomegalovirus-seropositive or -seronegative Men and Women

BackgroundCytokines are signaling molecules operating within complex cascade patterns and having exceptional modulatory functions. They impact various physiological processes such as neuroendocrine and metabolic interactions, neurotrophins metabolism, neuroplasticity, and may affect behavior and cognition. In our previous study, we found that sex and Cytomegalovirus (CMV)-serostatus may modulate levels of circulating pro- and anti-inflammatory cytokines, metabolic factors, immune cells, and cognitive performance, as well as associations between them.\n\nResultsIn the present study, we used a graph-theoretical approach to investigate the network topology dynamics of 22 circulating biomarkers and 11 measures of cognitive performance in 161 older participants recruited to undergo a six-months training intervention. For network construction, we applied coefficient of determination (R2) that was calculated for all possible pairs of variables (N = 33) in four groups (CMV- men and women; CMV+ men and women). Network topology has been evaluated by clustering coefficient (CC) and characteristic path length (CPL) as well as local (Elocal) and global (Eglobal) efficiency, showing the degree of network segregation (CC and Elocal) and integration (CPL and Eglobal). We found that networks under consideration showed small-world networks properties with more random characteristics. Mean CC, as well as local and global efficiency were highest and CPL shortest in CMV- males (having lowest inflammatory status and highest cognitive performance). CMV- and CMV+ females did not show any significant differences. Modularity analyses showed that the networks exhibit in all cases highly differentiated modular organization (with Q-value ranged between 0.397 and 0.453).\n\nConclusionsIn this work, we found that segregation and integration properties of the network were notably stronger in the group with balanced inflammatory status. We were also able to confirm our previous findings that CMV-infection and sex modulate multiple circulating biomarkers and cognitive performance and that balanced inflammatory and metabolic status in elderly contributes to better cognitive functioning. Thus, network analyses provide a useful strategy for visualization and quantitative description of multiple interactions between various circulating pro- and anti-inflammatory biomarkers, hormones, neurotrophic and metabolic factors, immune cells, and measures of cognitive performance and can be in general applied for analyzing interactions between different physiological systems.

immunology↗