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  • 1
    Online Resource
    Online Resource
    Springer Science and Business Media LLC ; 2018
    In:  Tijdschrift voor Urologie Vol. 8, No. 5 ( 2018-8), p. 68-77
    In: Tijdschrift voor Urologie, Springer Science and Business Media LLC, Vol. 8, No. 5 ( 2018-8), p. 68-77
    Type of Medium: Online Resource
    ISSN: 2211-3037 , 2211-4718
    Language: Dutch
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2018
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  • 2
    In: Medical Oncology, Springer Science and Business Media LLC, Vol. 38, No. 9 ( 2021-09)
    Abstract: Renal cell carcinoma (RCC) accounts for over 400,000 new cases and 175,000 deaths annually. Diagnostic RCC biomarkers may prevent overtreatment in patients with early disease. Extracellular vesicles (EVs) are a promising source of RCC biomarkers because EVs carry proteins and messenger RNA (mRNA) among other biomolecules. We aimed to identify biomarkers and assess biological functions of EV cargo from clear cell RCC (ccRCC), papillary RCC (pRCC), and benign kidney cell lines. EVs were enriched from conditioned cell media by size exclusion chromatography. The EV proteome was assessed using Tandem Mass Tag mass spectrometry (TMT-MS) and NanoString nCounter technology was used to profile 770 cancer-related mRNA present in EVs. The heterogeneity of protein and mRNA abundance and identification highlighted the heterogeneity of EV cargo, even between cell lines of a similar pathological group (e.g., ccRCC or pRCC). Overall, 1726 proteins were quantified across all EV samples, including 181 proteins that were detected in all samples. In the targeted profiling of mRNA by NanoString, 461 mRNAs were detected in EVs from at least one cell line, including 159 that were present in EVs from all cell lines. In addition to a shared EV cargo signature, pRCC, ccRCC, and/or benign renal cell lines also showed unique signatures. Using this multi-omics approach, we identified 34 protein candidate pRCC EV biomarkers and 20 protein and 8 mRNA candidate ccRCC EV biomarkers for clinical validation.
    Type of Medium: Online Resource
    ISSN: 1357-0560 , 1559-131X
    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2021
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  • 3
    In: Journal of Extracellular Vesicles, Wiley, Vol. 10, No. 2 ( 2020-12)
    Abstract: One of the challenges that restricts the evolving extracellular vesicle (EV) research field is the lack of a consensus method for EV separation. This may also explain the diversity of the experimental results, as co‐separated soluble proteins and lipoproteins may impede the interpretation of experimental findings. In this study, we comprehensively evaluated the EV yields and sample purities of three most popular EV separation methods, ultracentrifugation, precipitation and size exclusion chromatography combined with ultrafiltration, along with a microfluidic tangential flow filtration device, Exodisc, in three commonly used biological samples, cell culture medium, human urine and plasma. Single EV phenotyping and density‐gradient ultracentrifugation were used to understand the proportion of true EVs in particle separations. Our findings suggest Exodisc has the best EV yield though it may co‐separate contaminants when the non‐EV particle levels are high in input materials. We found no 100% pure EV preparations due to the overlap of their size and density with many non‐EV particles in biofluids. Precipitation has the lowest sample purity, regardless of sample type. The purities of the other techniques may vary in different sample types and are largely dependent on their working principles and the intrinsic composition of the input sample. Researchers should choose the proper separation method according to the sample type, downstream analysis and their working scenarios.
    Type of Medium: Online Resource
    ISSN: 2001-3078 , 2001-3078
    URL: Issue
    Language: English
    Publisher: Wiley
    Publication Date: 2020
    detail.hit.zdb_id: 2683797-3
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  • 4
    Online Resource
    Online Resource
    Elsevier BV ; 2019
    In:  Biochimica et Biophysica Acta (BBA) - Reviews on Cancer Vol. 1871, No. 2 ( 2019-04), p. 342-360
    In: Biochimica et Biophysica Acta (BBA) - Reviews on Cancer, Elsevier BV, Vol. 1871, No. 2 ( 2019-04), p. 342-360
    Type of Medium: Online Resource
    ISSN: 0304-419X
    RVK:
    Language: English
    Publisher: Elsevier BV
    Publication Date: 2019
    detail.hit.zdb_id: 2209610-3
    SSG: 12
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  • 5
    Online Resource
    Online Resource
    Springer Science and Business Media LLC ; 2023
    In:  Nature Reviews Urology
    In: Nature Reviews Urology, Springer Science and Business Media LLC
    Type of Medium: Online Resource
    ISSN: 1759-4812 , 1759-4820
    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2023
    detail.hit.zdb_id: 2493740-X
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  • 6
    Online Resource
    Online Resource
    American Association for Cancer Research (AACR) ; 2020
    In:  Cancer Research Vol. 80, No. 16_Supplement ( 2020-08-15), p. 6493-6493
    In: Cancer Research, American Association for Cancer Research (AACR), Vol. 80, No. 16_Supplement ( 2020-08-15), p. 6493-6493
    Abstract: Background: Extracellular vesicles (EVs) are small membranous vesicles. All cells can secrete EVs into ECM and biofluids. The EV membrane helps to protect protein or nucleotide cargos, that can be transferred from the parental to recipient cells in an autocrine or paracrine manner. Thus, EVs are a mode of intercellular communication and valuable source of (cancer) biomarkers. The majority of human cancer EV research studies EVs from cell culture, blood or urine. Cell culture EVs are reproducible but lack sensitivity. Benign cells contribute to the total EV population found in blood and urine and thus lack tumor-specificity. We optimized EV isolation directly from renal cell carcinoma (RCC) tissue, which can aid RCC biomarker discovery. We isolated from human RCC and healthy kidney tissue. The isolated EV-product was evaluated in correspondence with the latest guidelines MISEV-guidelines (Minimal Information for Studies of Extracellular Vesicles). Methods: Following radical nephrectomy, three technical replicates and three biological replicates were obtained for both normal and clear cell RCC. The tissues were processed and used to incubate media. EVs were isolated using a combination of differential centrifugation, filtration, and ultracentrifugation. Vesicle yield and size distribution of each sample were measured using two methods; the conventional Nanoparticle Tracking Analysis (NanoSight), and the novel method Nano Flowcytometry (NanoFCM). Transmission Electron Microscopy (TEM) was used to determine presence of intact vesicles in the EV samples. Western blot was used to detect presence of EV protein markers (CD81, CD63, Flotillin-1), and absence of cellular debris (calnexin). Results: The normalized vesicle counts for the technical replicates of normal kidney EVs were 1.44 × 1010 ± 2.51 × 109 p/mL (mean ± SD) measured by NanoSight, and 1.67 × 1010 ± 6.89 × 109 p/mL (mean ± SD) measured by NanoFCM. Vesicle counts for replicates RCC EVs measured by NanoSight were 1.80 × 1010 ± 3.59 × 109 p/mL (mean ± SD), and they were 1.68 × 1010 ± 4.18 × 109 p/mL (mean ± SD) measured by NanoFCM. We observed an acceptable biological variance in EV counts of less than 10-fold among different patients. Comparing NanoSight with NanoFCM, the differences in measured vesicle counts of identical samples were less than 5-fold. TEM confirmed presence of small EVs in all technical and biological replicates. Protein analyses demonstrate presence of CD81, CD63, and Flotillin-1 in all samples. Furthermore, calnexin was absent in all samples. Conclusions: We optimized a method for EV isolation from human kidney cancer and normal kidney tissue. Our protocol consistently results in high vesicle counts, as we confirmed using a standard method and a new method. Particle concentrations of both methods were similar, but the NanoFCM performs better in assessing particle size distribution. We confirmed the presence of intact vesicles and EV proteins, and the absence of cellular contamination. This optimized protocol can contribute to RCC-biomarker discovery and aid biological kidney cancer research. Citation Format: Richard C. Zieren, Liang Dong, Phillip M. Pierorazio, Kenneth J. Pienta, Theo M. de Reijke, Sarah R. Amend. Optimized methods for studies of extracellular vesicles in kidney cancer [abstract]. In: Proceedings of the Annual Meeting of the American Association for Cancer Research 2020; 2020 Apr 27-28 and Jun 22-24. Philadelphia (PA): AACR; Cancer Res 2020;80(16 Suppl):Abstract nr 6493.
    Type of Medium: Online Resource
    ISSN: 0008-5472 , 1538-7445
    RVK:
    RVK:
    Language: English
    Publisher: American Association for Cancer Research (AACR)
    Publication Date: 2020
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    detail.hit.zdb_id: 410466-3
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  • 7
    Online Resource
    Online Resource
    American Association for Cancer Research (AACR) ; 2019
    In:  Cancer Research Vol. 79, No. 13_Supplement ( 2019-07-01), p. 1358-1358
    In: Cancer Research, American Association for Cancer Research (AACR), Vol. 79, No. 13_Supplement ( 2019-07-01), p. 1358-1358
    Abstract: Renal cell carcinoma (RCC) is a fairly common and lethal cancer. The wide variety of RCC histological subtypes constitutes a challenge in treatment decision-making. Exosomes are extracellular membrane vesicles that are produced by all cell types in physiological conditions. Extracellular vesicles (EVs) are now accepted as a mode of intercellular communication and transport proteins, RNAs, DNA, and lipids to surrounding and distant cells. The lipid bilayer membrane of the EVs helps to protect these cargos. EVs are involved in many pathological processes, such as cancer, and can be easily obtained through liquid biopsy. Currently, EVs are rarely considered as candidate biomarkers for kidney cancer. However, improvements in the characterization of tumor-derived EVs could lead to the implementation of blood- and urine-derived EVs as biomarkers in the management of oncologic patients. Since all organs, not just the tumor, contribute to EV population, the thoughtful discrimination of tumor-derived EVs remains an unmet need for the clinical application of this kind of liquid biopsy technology. To determine the contribution of the tumor to blood- and urine-derived EVs, we utilize a novel approach to isolate tissue-derived EVs in parallel with liquid biopsy-derived EVs. To our knowledge, only a handful of studies (only one in RCC) have studied EVs directly derived from tissue. We propose the use tissue-derived EVs to screen for candidate EV biomarkers in plasma and/or urine. We hypothesize that using tissue-derived EVs would increase the tumor specificity for the characterization of EVs as liquid biopsy biomarkers. We optimized a protocol in which we used tissue of RCC patients (normal kidney or tumor) to condition media and isolate tumor-derived EVs alone by ultracentrifugation. Additionally, we isolated plasma- and urine EVs by ultracentrifugation using standard protocols. Nanoparticle Tracking Analysis (NTA) showed normalized concentrations of & gt;2 x 109 particles/mL with a size distribution in the small EV-range. Transmission Electron Microscopy (TEM) images showed typical exosome morphology, with the characteristic cup-shaped membrane vesicles. Western Blot (WB) confirmed the presence of exosome markers. We successfully isolated EVs from human RCC and healthy kidney tissue. We will proceed with screening the EV-samples for candidate miRNA-biomarkers by multiplexed gene expression analysis, followed by confirmation of the candidate markers by RT-qPCR. Citation Format: Richard C. Zieren, Liang Dong, Sarah R. Amend, Philip M. Pierorazio, Theo M. de Reijke, Kenneth J. Pienta. Tumor-derived extracellular vesicles as kidney cancer biomarkers [abstract]. In: Proceedings of the American Association for Cancer Research A nnual Meeting 2019; 2019 Mar 29-Apr 3; Atlanta, GA. Philadelphia (PA): AACR; Cancer Res 2019;79(13 Suppl):Abstract nr 1358.
    Type of Medium: Online Resource
    ISSN: 0008-5472 , 1538-7445
    RVK:
    RVK:
    Language: English
    Publisher: American Association for Cancer Research (AACR)
    Publication Date: 2019
    detail.hit.zdb_id: 2036785-5
    detail.hit.zdb_id: 1432-1
    detail.hit.zdb_id: 410466-3
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  • 8
    Online Resource
    Online Resource
    Springer Science and Business Media LLC ; 2020
    In:  Medical Oncology Vol. 37, No. 4 ( 2020-04)
    In: Medical Oncology, Springer Science and Business Media LLC, Vol. 37, No. 4 ( 2020-04)
    Abstract: Renal cell carcinoma is a lethal disease that is often discovered incidentally. New non-invasive biomarkers are needed to aid diagnosis and treatment. Extracellular vesicles (EVs), membranous vesicles secreted by all cells, are a promising potential source for cancer biomarkers, but new methods are required that are both sensitive and specific for cancer identification. We have developed an EV isolation protocol optimized for kidney tumor and normal kidney tissue that yields a high vesicle concentration, confirmed by nanoparticle tracking analysis (NanoSight) and by nanoscale flow cytometry (NanoFCM). Using Western blot, we confirmed presence of EV markers CD81, CD63, flotillin-1, and absence of cellular debris, calnexin. Transmission electron microscopy images demonstrate intact membranous EVs. This new method improves existing protocols with additional steps to reduce contaminants in the EV product. Characterization of our isolation product confirms successful isolation of EVs with minimal contamination. The particle yields of our protocol are consistent and high as assessed by both standard and novel methods. This optimized protocol will contribute to biomarker discovery and biological studies of EVs in renal cancer.
    Type of Medium: Online Resource
    ISSN: 1357-0560 , 1559-131X
    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2020
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    detail.hit.zdb_id: 605563-1
    detail.hit.zdb_id: 2008172-8
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  • 9
    In: Urology, Elsevier BV, Vol. 160 ( 2022-02), p. 87-93
    Type of Medium: Online Resource
    ISSN: 0090-4295
    Language: English
    Publisher: Elsevier BV
    Publication Date: 2022
    detail.hit.zdb_id: 2011025-X
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  • 10
    Online Resource
    Online Resource
    Elsevier BV ; 2019
    In:  Asian Journal of Urology Vol. 6, No. 1 ( 2019-01), p. 26-41
    In: Asian Journal of Urology, Elsevier BV, Vol. 6, No. 1 ( 2019-01), p. 26-41
    Type of Medium: Online Resource
    ISSN: 2214-3882
    Language: English
    Publisher: Elsevier BV
    Publication Date: 2019
    detail.hit.zdb_id: 2831144-9
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