Size distribution of extracellular vesicles in pretreatment ascites and plasma is correlated with primary treatment outcome in advanced high-grade serous carcinoma DOI Creative Commons

Maruša Herzog,

Ivan Verdenik, Borut Kobal

et al.

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: Feb. 6, 2025

To improve the treatment outcome and survival of patients with advanced high-grade serous carcinoma (HGSC), prognostic biomarkers for assessing feasibility complete (R0) or optimal (R1) primary cytoreductive surgery are needed. Additionally, predicting response to neoadjuvant chemotherapy (NACT) in inoperable disease could help stratify tailored therapy personalised approach. Such promising extracellular vesicles (EVs), which present ascites plasma available minimally invasive liquid biopsy. EV concentration molecular profile have been at forefront research field many years now, but recent studies highlighted importance size distribution. Our study aimed evaluate potential distribution pretreatment samples from HGSC as biomarkers. In our prospective cohort study, nanoparticle tracking analysis (NTA) was used determine characteristics paired 37 HGSC. Patients were treated followed by adjuvant (ACT) (N = 15) NACT interval debulking (IDS) when cytoreduction not feasible 22). The correlations outcome, progression-free (PFS) overall (OS) analysed. We found a significant correlation between residual after surgery. Larger EVs correlated worse resection success A D10 value score (CRS) observed. smaller better response. Receiver operating characteristic (ROC) curve revealed excellent performance prediction suboptimal (R2) near-complete (CRS 3) There mean diameter, D90 proportion medium/large (> 200 nm) those plasma. On other hand, there no D50 values fluid samples. results indicate that has predict smallest might NACT. future, analyses size-dependent cargo provide more insight into their biological functions predictive

Language: Английский

Extracellular vesicles and their cells of origin: Open issues in autoimmune diseases DOI Creative Commons
Azadeh Haghighitalab, Massimo Dominici, Maryam Moghaddam Matin

et al.

Frontiers in Immunology, Journal Year: 2023, Volume and Issue: 14

Published: March 8, 2023

The conventional therapeutic approaches to treat autoimmune diseases through suppressing the immune system, such as steroidal and non-steroidal anti-inflammatory drugs, are not adequately practical. Moreover, these regimens associated with considerable complications. Designing tolerogenic strategies based on stem cells, their extracellular vesicles (EVs) seems open a promising path managing diseases’ vast burden. Mesenchymal stem/stromal cells (MSCs), dendritic regulatory T (Tregs) main cell types applied restore status; MSCs play more beneficial role due amenable properties extensive cross-talks different cells. With existing concerns about employment of new cell-free paradigms, EV-based therapies, gaining attention in this field. Additionally, EVs’ unique have made them be known smart immunomodulators considered potential substitute for therapy. This review provides an overview advantages disadvantages cell-based methods treating diseases. study also presents outlook future EVs implemented clinics patients.

Language: Английский

Citations

10

Recent Trends in the Use of Small Extracellular Vesicles as Optimal Drug Delivery Vehicles in Oncology DOI

Sarwareddy Kartik Kumar,

Sasidhar Venkata Manda

Molecular Pharmaceutics, Journal Year: 2023, Volume and Issue: 20(8), P. 3829 - 3842

Published: July 6, 2023

Small extracellular vesicles (sEVs) are produced by most cells and play an important role in cell-to-cell communication maintaining cellular homeostasis. Their ability to transfer biological cargo target makes them a promising tool for cancer drug delivery. Advances sEV engineering, EV mimetics, ligand-directed targeting have improved the efficacy of anticancer delivery functionality. EV-based RNA interference hybrid miRNA also been extensively used various preclinical models. Despite these developments, gaps still exist our understanding using sEVs treat solid tumor malignancies effectively. This article provides overview last five years research its current status efficient targeted elimination cells, which could advance bring formulations into clinical use.

Language: Английский

Citations

10

Filter-aided extracellular vesicle enrichment (FAEVEr) for proteomics DOI Creative Commons
Jarne Pauwels, Tessa Van de Steene,

J. Van De Velde

et al.

Molecular & Cellular Proteomics, Journal Year: 2025, Volume and Issue: 24(2), P. 100907 - 100907

Published: Jan. 21, 2025

Language: Английский

Citations

0

Exposure to Group B Streptococcus-induced chorioamnionitis alters the proteome of placental extracellular vesicles DOI

Seline Vancolen,

Mathilde Chevin, Bernard Robaire

et al.

Placenta, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 1, 2025

Language: Английский

Citations

0

Size distribution of extracellular vesicles in pretreatment ascites and plasma is correlated with primary treatment outcome in advanced high-grade serous carcinoma DOI Creative Commons

Maruša Herzog,

Ivan Verdenik, Borut Kobal

et al.

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: Feb. 6, 2025

To improve the treatment outcome and survival of patients with advanced high-grade serous carcinoma (HGSC), prognostic biomarkers for assessing feasibility complete (R0) or optimal (R1) primary cytoreductive surgery are needed. Additionally, predicting response to neoadjuvant chemotherapy (NACT) in inoperable disease could help stratify tailored therapy personalised approach. Such promising extracellular vesicles (EVs), which present ascites plasma available minimally invasive liquid biopsy. EV concentration molecular profile have been at forefront research field many years now, but recent studies highlighted importance size distribution. Our study aimed evaluate potential distribution pretreatment samples from HGSC as biomarkers. In our prospective cohort study, nanoparticle tracking analysis (NTA) was used determine characteristics paired 37 HGSC. Patients were treated followed by adjuvant (ACT) (N = 15) NACT interval debulking (IDS) when cytoreduction not feasible 22). The correlations outcome, progression-free (PFS) overall (OS) analysed. We found a significant correlation between residual after surgery. Larger EVs correlated worse resection success A D10 value score (CRS) observed. smaller better response. Receiver operating characteristic (ROC) curve revealed excellent performance prediction suboptimal (R2) near-complete (CRS 3) There mean diameter, D90 proportion medium/large (> 200 nm) those plasma. On other hand, there no D50 values fluid samples. results indicate that has predict smallest might NACT. future, analyses size-dependent cargo provide more insight into their biological functions predictive

Language: Английский

Citations

0