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Pogge von Strandmann, E.

Publications and source records attributed to Pogge von Strandmann, E..

2 recordsLinked to original sources

Circulating extracellular vesicles display immunotherapeutic targets and complement circulating tumor DNA in high-risk neuroblastoma

Extracellular vesicles (EVs) offer a minimally invasive window into tumor biology through surface molecules reflecting their cellular origin. Here, we investigated whether neuroblastoma-derived EVs retain tumor-associated surface markers and provide complementary information to established biomarkers in children with neuroblastoma. EVs from neuroblastoma cell lines were characterized using orthogonal biochemical, morphological and biophysical approaches, followed by analysis of GD2, L1CAM and NCAM1 surface expression. EV-associated markers were subsequently evaluated in blood plasma-derived EVs from children with neuroblastoma and pediatric controls and compared with clinical and circulating cell-free DNA (cfDNA) parameters. Neuroblastoma EVs displayed GD2, L1CAM and NCAM1 in patterns reflecting donor-cell surface expression, supported by a positive correlation between cellular and EV marker abundance (Spearman {rho}=0.74, P<0.0001). Genetic disruption of GD2 biosynthesis resulted in corresponding loss of EV-associated GD2, further supporting its cellular origin. In plasma, GD2-, L1CAM- and NCAM1-positive EVs were enriched in patients with high-risk neuroblastoma and correlated with LDH level, soft tissue disease burden (GD2, L1CAM) and cfDNA concentration (GD2, NCAM1). Longitudinal analyses demonstrated dynamic and partially discordant changes in EV- and cfDNA-markers. These findings identify tumor-associated EV surface phenotypes as complementary circulating biomarkers and support their further evaluation for minimally invasive monitoring of neuroblastoma evolution.

cancer biology↗

Single recipient cell tracking of tellurium-labeled extracellular vesicle proteomes (TeLEV) identifies EV-driven immunomodulation

Extracellular vesicles (EVs) mediate tumor-immune cell communication by carrying protein cargo that can immediately modulate signaling and antigen presentation. Yet mapping the uptake of primary EV proteomes by human immune cells at single-cell resolution has been constrained by a lack of labeling strategies. We show here that TeLEV, a tellurium-based metabolic mass tagging approach that incorporates L-2-tellurienylalanine (TePhe) into EV proteomes, can produce a biologically rare monoisotopic signal, which is detectable by mass cytometry, imaging mass cytometry, and nanoscale SIMS, without perturbing EV morphology, yield, or proteome composition. We applied TeLEV to label primary malignant B-cell-derived EVs (MBC-EVs) from chronic lymphocytic leukemia (CLL) patients and could follow EV uptake by distinct cell populations of healthy donor peripheral blood mononuclear cells. MBC-EV uptake occurred predominantly in cells of myeloid lineages. In direct control experiments with matched secreted proteins, a machine learning approach identified CD123, CD127, and CD25 as key markers distinguishing primary MBC-EV recipients from matched secreted protein recipient cells. Nanoscale imaging enabled localization of EV-delivered proteins within heterochromatin, whereas Te-labeled secreted proteins accumulated in the cytoplasm of recipient cells. We then generated a pan-immune EV uptake atlas by tracing the uptake of primary and cell-line EVs from nine cell lines and six donors with chronic lymphocytic leukemia into 2,977,094 recipient cells across 43 cell types and subpopulations. We found that the uptake of MBC-EVs by myeloid recipients induced monocyte-derived dendritic-cell polarization characterized by the co-expression of the interleukin-receptor triad (IL-RT: CD123, CD127, CD25) identified above. Time-resolved EV uptake analysis showed a rapid, transient expression of CD123/CD127 followed by CD25, both tightly coupled to MBC-EV uptake by myeloid cells. The intensity of IL-RT expression correlated with that of PD-L1 and BCL-2. Using different STAT degraders to bidirectionally modify the EV-induced STAT5 signal, we observed that MBC-EV uptake and IL-RT, PD-L1, and BCL-2 expression increased with STAT3 degradation and decreased with STAT5 degradation. To investigate the functional consequences of the MBC-EV-induced changes, we showed that MBC-EVs in the presence of IL-2 induced a high-CD25 immune state with low cytotoxic and high B cell proliferation. Taken together, TeLEV represents a novel tool for single-cell tracking of EV proteomes, revealing STAT5-dependent immune remodeling of recipient cells.

cancer biology↗