scholarly journals Detection of Pancreatic Ductal Adenocarcinoma by Ex Vivo Magnetic Levitation of Plasma Protein-Coated Nanoparticles

Cancers ◽  
2021 ◽  
Vol 13 (20) ◽  
pp. 5155
Author(s):  
Luca Digiacomo ◽  
Erica Quagliarini ◽  
Vincenzo La Vaccara ◽  
Alessandro Coppola ◽  
Roberto Coppola ◽  
...  
Keyword(s):  
Plasma Proteins ◽  
Magnetic Levitation ◽  
Ex Vivo ◽  
Ductal Adenocarcinoma ◽  
Diagnostic Ability ◽  
Coated Nanoparticles ◽  
Oncological Patients ◽  
Paramagnetic Solution ◽  
Global Classification ◽  
Adeno Carcinoma

Pancreatic Ductal Adeno Carcinoma (PDAC) is one of the most lethal malignancies worldwide, and the development of sensitive and specific technologies for its early diagnosis is vital to reduce morbidity and mortality rates. In this proof-of-concept study, we demonstrate the diagnostic ability of magnetic levitation (MagLev) to detect PDAC by using levitation of graphene oxide (GO) nanoparticles (NPs) decorated by a biomolecular corona of human plasma proteins collected from PDAC and non-oncological patients (NOP). Levitation profiles of corona-coated GO NPs injected in a MagLev device filled with a paramagnetic solution of dysprosium(III) nitrate hydrate in water enables to distinguish PDAC patients from NOP with 80% specificity, 100% sensitivity, and global classification accuracy of 90%. Our findings indicate that Maglev could be a robust and instrumental tool for the early detection of PDAC and other cancers.

Mapping the heterogeneity of protein corona by ex vivo magnetic levitation

Nanoscale ◽  
2020 ◽  
Vol 12 (4) ◽  
pp. 2374-2383 ◽  
Author(s):  
Ali Akbar Ashkarran ◽  
Naruphorn Dararatana ◽  
Daniel Crespy ◽  
Giulio Caracciolo ◽  
Morteza Mahmoudi
Keyword(s):  
Magnetic Levitation ◽  
Ex Vivo ◽  
Protein Corona ◽  
Coated Nanoparticles

Magnetic levitation has a unique capacity to monitor the quality of protein corona coated nanoparticles.

scholarly journals Unraveling the In Vivo Protein Corona

Cells ◽  
2021 ◽  
Vol 10 (1) ◽  
pp. 132
Author(s):  
Johanna Simon ◽  
Gabor Kuhn ◽  
Michael Fichter ◽  
Stephan Gehring ◽  
Katharina Landfester ◽  
...  
Keyword(s):  
Plasma Proteins ◽  
Ex Vivo ◽  
Protein Corona ◽  
Blood Proteins ◽  
Therapeutic Application ◽  
Complex Situation ◽  
Ex Vivo Approach ◽  
In Vivo Administration

Understanding the behavior of nanoparticles upon contact with a physiological environment is of urgent need in order to improve their properties for a successful therapeutic application. Most commonly, the interaction of nanoparticles with plasma proteins are studied under in vitro conditions. However, this has been shown to not reflect the complex situation after in vivo administration. Therefore, here we focused on the investigation of magnetic nanoparticles with blood proteins under in vivo conditions. Importantly, we observed a radically different proteome in vivo in comparison to the in vitro situation underlining the significance of in vivo protein corona studies. Next to this, we found that the in vivo corona profile does not significantly change over time. To mimic the in vivo situation, we established an approach, which we termed “ex vivo” as it uses whole blood freshly prepared from an animal. Overall, we present a comprehensive analysis focusing on the interaction between nanoparticles and blood proteins under in vivo conditions and how to mimic this situation with our ex vivo approach. This knowledge is needed to characterize the true biological identity of nanoparticles.

scholarly journals Pancreatic Ductal Adenocarcinoma: Preclinical in vitro and ex vivo Models

2021 ◽  
Vol 9 ◽  
Author(s):  
Beate Gündel ◽  
Xinyuan Liu ◽  
Matthias Löhr ◽  
Rainer Heuchel
Keyword(s):  
Pancreatic Ductal Adenocarcinoma ◽  
Ex Vivo ◽  
Treatment Options ◽  
3D Cell Culture ◽  
Therapy Resistance ◽  
Ductal Adenocarcinoma ◽  
The Past ◽  
Slow Progress

Pancreatic ductal adenocarcinoma (PDAC) is one of the most overlooked cancers despite its dismal median survival time of 6 months. The biggest challenges in improving patient survival are late diagnosis due to lack of diagnostic markers, and limited treatment options due to almost complete therapy resistance. The past decades of research identified the dense stroma and the complex interplay/crosstalk between the cancer- and the different stromal cells as the main culprits for the slow progress in improving patient outcome. For better ex vivo simulation of this complex tumor microenvironment the models used in PDAC research likewise need to become more diverse. Depending on the focus of the investigation, several in vitro and in vivo models for PDAC have been established in the past years. Particularly, 3D cell culture such as spheroids and organoids have become more frequently used. This review aims to examine current PDAC in vitro models, their inherent limitations, and their successful implementations in research.

scholarly journals Organotypic Culture of Acinar Cells for the Study of Pancreatic Cancer Initiation

Cancers ◽  
2020 ◽  
Vol 12 (9) ◽  
pp. 2606
Author(s):  
Carlotta Paoli ◽  
Alessandro Carrer
Keyword(s):  
Pancreatic Cancer ◽  
Ex Vivo ◽  
Acinar Cells ◽  
Lineage Tracing ◽  
Metabolic Reprogramming ◽  
Pancreatic Acinar Cells ◽  
Ductal Adenocarcinoma ◽  
Molecular Features ◽  
The Impact

The carcinogenesis of pancreatic ductal adenocarcinoma (PDA) progresses according to multi-step evolution, whereby the disease acquires increasingly aggressive pathological features. On the other hand, disease inception is poorly investigated. Decoding the cascade of events that leads to oncogenic transformation is crucial to design strategies for early diagnosis as well as to tackle tumor onset. Lineage-tracing experiments demonstrated that pancreatic cancerous lesions originate from acinar cells, a highly specialized cell type in the pancreatic epithelium. Primary acinar cells can survive in vitro as organoid-like 3D spheroids, which can transdifferentiate into cells with a clear ductal morphology in response to different cell- and non-cell-autonomous stimuli. This event, termed acinar-to-ductal metaplasia, recapitulates the histological and molecular features of disease initiation. Here, we will discuss the isolation and culture of primary pancreatic acinar cells, providing a historical and technical perspective. The impact of pancreatic cancer research will also be debated. In particular, we will dissect the roles of transcriptional, epigenetic, and metabolic reprogramming for tumor initiation and we will show how that can be modeled using ex vivo acinar cell cultures. Finally, mechanisms of PDA initiation described using organotypical cultures will be reviewed.

scholarly journals Modelling Pancreatic Neuroendocrine Cancer: From Bench Side to Clinic

Cancers ◽  
2020 ◽  
Vol 12 (11) ◽  
pp. 3170
Author(s):  
Alexander Ney ◽  
Gabriele Canciani ◽  
J. Justin Hsuan ◽  
Stephen P. Pereira
Keyword(s):  
Ex Vivo ◽  
Neuroendocrine Differentiation ◽  
Genetically Engineered ◽  
Treatment Modalities ◽  
Ductal Adenocarcinoma ◽  
Disease Models ◽  
Tissue Remodelling ◽  
In Vivo Models ◽  
Original Tumour

Pancreatic neuroendocrine tumours (pNETs) are a heterogeneous group of epithelial tumours with neuroendocrine differentiation. Although rare (incidence of <1 in 100,000), they are the second most common group of pancreatic neoplasms after pancreatic ductal adenocarcinoma (PDAC). pNET incidence is however on the rise and patient outcomes, although variable, have been linked with 5-year survival rates as low as 40%. Improvement of diagnostic and treatment modalities strongly relies on disease models that reconstruct the disease ex vivo. A key constraint in pNET research, however, is the absence of human pNET models that accurately capture the original tumour phenotype. In attempts to more closely mimic the disease in its native environment, three-dimensional culture models as well as in vivo models, such as genetically engineered mouse models (GEMMs), have been developed. Despite adding significant contributions to our understanding of more complex biological processes associated with the development and progression of pNETs, factors such as ethical considerations and low rates of clinical translatability limit their use. Furthermore, a role for the site-specific extracellular matrix (ECM) in disease development and progression has become clear. Advances in tissue engineering have enabled the use of tissue constructs that are designed to establish disease ex vivo within a close to native ECM that can recapitulate tumour-associated tissue remodelling. Yet, such advanced models for studying pNETs remain underdeveloped. This review summarises the most clinically relevant disease models of pNETs currently used, as well as future directions for improved modelling of the disease.

scholarly journals Plasma proteins facilitates placental transfer of polystyrene particles

2020 ◽  
Vol 18 (1) ◽  
Author(s):  
Michael M. Gruber ◽  
Birgit Hirschmugl ◽  
Natascha Berger ◽  
Magdalena Holter ◽  
Snježana Radulović ◽  
...  
Keyword(s):  
Human Plasma ◽  
Human Placenta ◽  
Plasma Proteins ◽  
Placental Transfer ◽  
Ex Vivo ◽  
Biological Fluids ◽  
Protein Corona ◽  
Human Albumin ◽  
Placental Perfusion ◽  
The Impact

Abstract Background Nanoparticles, which are exposed to biological fluids are rapidly interacting with proteins and other biomolecules forming a corona. In addition to dimension, charge and material the distinct protein corona influences the interplay of nanoparticles with tissue barriers. In this study we were focused on the impact of in situ formed human plasma protein corona on the transfer of 80 nm polystyrene nanoparticles (PS-particles) across the human placenta. To study materno-to fetal PS transfer we used the human ex vivo placental perfusion approach, which represents an intact and physiological tissue barrier. To analyze the protein corona of PS particles we performed shotgun proteomics of isolated nanoparticles before and after tissue exposure. Results Human plasma incubated with PS-particles of 80 nm and subsequent formed protein corona enhanced the transfer across the human placenta compared to PS-corona formed by bovine serum albumin and dextran which served as a control. Quantitative and qualitative changes of plasma proteins determined the changes in PS transfer across the barrier. Based on the analysis of the PS-proteome two candidate proteins, namely human albumin and immunoglobulin G were tested if these proteins may account for the enhanced PS-transfer across the placenta. Interestingly, the protein corona formed by human albumin significantly induced the transfer of PS-particles across the tissue compared to the formed IgG-corona. Conclusion In total we demonstrate the PS corona dynamically and significantly evolves upon crossing the human placenta. Thus, the initial composition of PS particles in the maternal circulation is not predictive for their transfer characteristics and performance once beyond the barrier of the placenta. The precise mechanism of these effects remains to be elucidated but highlights the importance of using well designed biological models when testing nanoparticles for biomedical applications.

scholarly journals Ex vivo organotypic culture system of precision-cut slices of human pancreatic ductal adenocarcinoma

2019 ◽  
Vol 9 (1) ◽  
Author(s):  
Sougat Misra ◽  
Carlos F. Moro ◽  
Marco Del Chiaro ◽  
Soledad Pouso ◽  
Anna Sebestyén ◽  
...  
Keyword(s):  
Pancreatic Ductal Adenocarcinoma ◽  
Culture System ◽  
Organotypic Culture ◽  
Ex Vivo ◽  
Ductal Adenocarcinoma

scholarly journals Elucidation of tumor-stromal heterogeneity and the ligand-receptor interactome by single cell transcriptomics in real-world pancreatic cancer biopsies

2020 ◽  
Author(s):  
Jaewon Lee ◽  
Vincent Bernard ◽  
Alexander Semaan ◽  
Maria Monberg ◽  
Jonathan Huang ◽  
...  
Keyword(s):  
Single Cell ◽  
Clinical Decision Making ◽  
De Novo ◽  
Ex Vivo ◽  
Clinical Decision ◽  
Ductal Adenocarcinoma ◽  
Cancer Associated Fibroblast ◽  
Parental Tumor

Abstract Precision medicine approaches in pancreatic ductal adenocarcinoma (PDAC) are imperative for improving disease outcomes. However, the long-term fidelity of recently deployed ex vivo preclinical platforms, such as patient-derived organoids (PDOs), remains unknown. Through single-cell RNA sequencing (scRNA-seq), we identify substantial transcriptomic evolution of PDOs propagated from the parental tumor, which may alter predicted drug sensitivity. In contrast, scRNA-seq is readily applicable to limited biopsies from human primary and metastatic PDAC and identifies most cancers as being an admixture of previously described epithelial transcriptomic subtypes. Integrative analyses of our data provide an in-depth characterization of the heterogeneity within the tumor microenvironment, including cancer-associated fibroblast (CAF) subclasses, and predict a multitude of ligand-receptor interactions, revealing potential targets for immunotherapy approaches. While PDOs continue to enable prospective therapeutic prediction, our analysis also demonstrates the complementarity of using orthogonal de novo biopsies from PDAC patients paired with scRNA-seq to inform clinical decision-making.

scholarly journals The plasma peptides of ovarian cancer

2021 ◽  
Author(s):  
Jaimie Dufresne ◽  
Pete Bowden ◽  
Thanusi Thavarajah ◽  
Angelique Florentinus-Mefailoski ◽  
Zhuo Zhen Chen ◽  
...  
Keyword(s):  
Ovarian Cancer ◽  
Plasma Proteins ◽  
Ex Vivo ◽  
Sql Server ◽  
Tandem Mass ◽  
Chi Square ◽  
Endogenous Peptides ◽  
Esi Ms ◽  
Significant Difference ◽  
Normal Controls

Background It may be possible to discover new diagnostic or therapeutic peptides or proteins from blood plasma by using liquid chromatography and tandem mass spectrometry to identify, quantify and compare the peptides cleaved ex vivo from different clinical populations. The endogenous tryptic peptides of ovarian cancer plasma were compared to breast cancer and female cancer normal controls, other diseases with their matched or normal controls, plus ice cold plasma to control for pre-analytical variation. Methods The endogenous tryptic peptides or tryptic phospho peptides (i.e. without exogenous digestion) were analyzed from 200 μl of EDTA plasma. The plasma peptides were extracted by a step gradient of organic/water with differential centrifugation, dried, and collected over C18 for analytical HPLC nano electrospray ionization and tandem mass spectrometry (LC–ESI–MS/MS) with a linear quadrupole ion trap. The endogenous peptides of ovarian cancer were compared to multiple disease and normal samples from different institutions alongside ice cold controls. Peptides were randomly and independently sampled by LC–ESI–MS/MS. Precursor ions from peptides > E4 counts were identified by the SEQUEST and X!TANDEM algorithms, filtered in SQL Server, before testing of frequency counts by Chi Square (χ2), for analysis with the STRING algorithm, and comparison of precursor intensity by ANOVA in the R statistical system with the Tukey-Kramer Honestly Significant Difference (HSD) test. Results Peptides and/or phosphopeptides of common plasma proteins such as HPR, HP, HPX, and SERPINA1 showed increased observation frequency and/or precursor intensity in ovarian cancer. Many cellular proteins showed large changes in frequency by Chi Square (χ2 > 60, p < 0.0001) in the ovarian cancer samples such as ZNF91, ZNF254, F13A1, LOC102723511, ZNF253, QSER1, P4HA1, GPC6, LMNB2, PYGB, NBR1, CCNI2, LOC101930455, TRPM5, IGSF1, ITGB1, CHD6, SIRT1, NEFM, SKOR2, SUPT20HL1, PLCE1, CCDC148, CPSF3, MORN3, NMI, XTP11, LOC101927572, SMC5, SEMA6B, LOXL3, SEZ6L2, and DHCR24. The protein gene symbols with large Chi Square values were significantly enriched in proteins that showed a complex set of previously established functional and structural relationships by STRING analysis. Analysis of the frequently observed proteins by ANOVA confirmed increases in mean precursor intensity in ZFN91, TRPM5, SIRT1, CHD6, RIMS1, LOC101930455 (XP_005275896), CCDC37 and GIMAP4 between ovarian cancer versus normal female and other diseases or controls by the Tukey–Kramer HSD test. Conclusion Here we show that separation of endogenous peptides with a step gradient of organic/water and differential centrifugation followed by random and independent sampling by LC–ESI–MS/MS with analysis of peptide frequency and intensity by SQL Server and R revealed significant difference in the ex vivo cleavage of peptides between ovarian cancer and other clinical treatments. There was striking agreement between the proteins discovered from cancer plasma versus previous biomarkers discovered in tumors by genetic or biochemical methods. The results indicate that variation in plasma proteins from ovarian cancer may be directly discovered by LC–ESI–MS/MS that will be a powerful tool for clinical research.

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