scholarly journals Modulation of paracrine signaling by CD9 positive small extracellular vesicles mediates cellular growth of androgen deprived prostate cancer

Oncotarget ◽  
2016 ◽  
Vol 8 (32) ◽  
pp. 52237-52255 ◽  
Author(s):  
Carolina Soekmadji ◽  
James D. Riches ◽  
Pamela J. Russell ◽  
Jayde E. Ruelcke ◽  
Stephen McPherson ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Extracellular Vesicles ◽  
Cellular Growth ◽  
Paracrine Signaling

miRNA-expression in prostate cancer-associated fibroblasts and their extracellular vesicles

2021 ◽  
Vol 79 ◽  
pp. S584
Author(s):  
J. Linxweiler ◽  
H. Ayoubian ◽  
D. Himbert ◽  
M. Saar ◽  
M. Stöckle ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Extracellular Vesicles ◽  
Mirna Expression ◽  
Cancer Associated Fibroblasts

scholarly journals Detection of Prostate Cancer via IR Spectroscopic Analysis of Urinary Extracellular Vesicles: A Pilot Study

Membranes ◽  
2021 ◽  
Vol 11 (8) ◽  
pp. 591
Author(s):  
Xin-Le Yap ◽  
Bayden Wood ◽  
Teng-Aik Ong ◽  
Jasmine Lim ◽  
Bey-Hing Goh ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Extracellular Vesicles ◽  
Cancer Progression ◽  
Prostate Cancer Screening ◽  
Principal Component ◽  
Urine Samples ◽  
Cancer Type ◽  
Marker Proteins ◽  
Novel Strategy ◽  
Ir Spectroscopic

Extracellular vesicles (EVs) are membranous nanoparticles naturally released from living cells which can be found in all types of body fluids. Recent studies found that cancer cells secreted EVs containing the unique set of biomolecules, which give rise to a distinctive absorbance spectrum representing its cancer type. In this study, we aimed to detect the medium EVs (200–300 nm) from the urine of prostate cancer patients using Fourier transform infrared (FTIR) spectroscopy and determine their association with cancer progression. EVs extracted from 53 urine samples from patients suspected of prostate cancer were analyzed and their FTIR spectra were preprocessed for analysis. Characterization of morphology, particle size and marker proteins confirmed that EVs were successfully isolated from urine samples. Principal component analysis (PCA) of the EV’s spectra showed the model could discriminate prostate cancer with a sensitivity of 59% and a specificity of 81%. The area under curve (AUC) of FTIR PCA model for prostate cancer detection in the cases with 4–20 ng/mL PSA was 0.7, while the AUC for PSA alone was 0.437, suggesting the analysis of urinary EVs described in this study may offer a novel strategy for the development of a noninvasive additional test for prostate cancer screening.

scholarly journals Fetal Bovine Serum-Derived Extracellular Vesicles Persist within Vesicle-Depleted Culture Media

2018 ◽  
Vol 19 (11) ◽  
pp. 3538 ◽  
Author(s):  
Brandon Lehrich ◽  
Yaxuan Liang ◽  
Pooya Khosravi ◽  
Howard Federoff ◽  
Massimo Fiandaca
Keyword(s):  
Cell Growth ◽  
Extracellular Vesicles ◽  
Bovine Serum ◽  
Culture Media ◽  
Fetal Bovine Serum ◽  
Cellular Growth ◽  
Primary Astrocyte ◽  
Fetal Bovine ◽  
Cell Growth And Viability

It is known that culture media (CM) promotes cellular growth, adhesion, and protects explanted primary brain cells from in vitro stresses. The fetal bovine serum (FBS) supplement used in most CM, however, contains significant quantities of extracellular vesicles (EVs) that confound quantitative and qualitative analyses from the EVs produced by the cultured cells. We quantitatively tested the ability of common FBS EV-depletion protocols to remove exogenous EVs from FBS-supplemented CM and evaluated the influence such methods have on primary astrocyte culture growth and viability. We assessed two methodologies utilized for FBS EV removal prior to adding to CM: (1) an 18-h ultracentrifugation (UC); and (2) a commercial EV-depleted FBS (Exo-FBS™). Our analysis demonstrated that Exo-FBS™ CM provided the largest depletion (75%) of total FBS EVs, while still providing 6.92 × 109 ± 1.39 × 108 EVs/mL. In addition, both UC and Exo-FBS™ CM resulted in poor primary astrocyte cell growth and viability in culture. The two common FBS EV-depletion methods investigated, therefore, not only contaminate in vitro primary cell-derived EV analyses, but also provide a suboptimal environment for primary astrocyte cell growth and viability. It appears likely that future CM optimization, using a serum-free alternative, might be required to advance analyses of cell-specific EVs isolated in vitro.

scholarly journals Metastatic state of parent cells influences the uptake and functionality of prostate cancer cell-derived extracellular vesicles

2017 ◽  
Vol 6 (1) ◽  
pp. 1354645 ◽  
Author(s):  
Elisa Lázaro-Ibáñez ◽  
Maarit Neuvonen ◽  
Maarit Takatalo ◽  
Uma Thanigai Arasu ◽  
Cristian Capasso ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Cancer Cell ◽  
Extracellular Vesicles ◽  
Prostate Cancer Cell

scholarly journals Label-Free Prostate Cancer Detection by Characterization of Extracellular Vesicles Using Raman Spectroscopy

2018 ◽  
Vol 90 (19) ◽  
pp. 11290-11296 ◽  
Author(s):  
Wooje Lee ◽  
Afroditi Nanou ◽  
Linda Rikkert ◽  
Frank A. W. Coumans ◽  
Cees Otto ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Raman Spectroscopy ◽  
Extracellular Vesicles ◽  
Cancer Detection ◽  
Label Free ◽  
Prostate Cancer Detection

scholarly journals Extracellular Electrophysiology in the Prostate Cancer Cell Model PC-3

Sensors ◽  
2019 ◽  
Vol 19 (1) ◽  
pp. 139 ◽  
Author(s):  
Miguel Cabello ◽  
Haobo Ge ◽  
Carmen Aracil ◽  
Despina Moschou ◽  
Pedro Estrela ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Electrical Activity ◽  
Cell Model ◽  
Treatment Strategies ◽  
Electrode Array ◽  
Cellular Level ◽  
Low Noise ◽  
Cellular Growth ◽  
Male Population ◽  
Depth Analysis

Although prostate cancer is one of the most common cancers in the male population, its basic biological function at a cellular level remains to be fully understood. This lack of in depth understanding of its physiology significantly hinders the development of new, targeted and more effective treatment strategies. Whilst electrophysiological studies can provide in depth analysis, the possibility of recording electrical activity in large populations of non-neuronal cells remains a significant challenge, even harder to address in the picoAmpere-range, which is typical of cellular level electrical activities. In this paper, we present the measurement and characterization of electrical activity of populations of prostate cancer cells PC-3, demonstrating for the first time a meaningful electrical pattern. The low noise system used comprises a multi-electrode array (MEA) with circular gold electrodes on silicon oxide substrates. The extracellular capacitive currents present two standard patterns: an asynchronous sporadic pattern and a synchronous quasi-periodic biphasic spike pattern. An amplitude of ±150 pA, a width between 50–300 ms and an inter-spike interval around 0.5 Hz characterize the quasi-periodic spikes. Our experiments using treatment of cells with Gd3⁺, known as an inhibitor for the Ca2⁺ exchanges, suggest that the quasi-periodic signals originate from Ca2⁺ channels. After adding the Gd3⁺ to a population of living PC-3 cells, their electrical activity considerably decreased; once the culture was washed, thus eliminating the Gd3⁺ containing medium and addition of fresh cellular growth medium, the PC-3 cells recovered their normal electrical activity. Cellular viability plots have been carried out, demonstrating that the PC-3 cells remain viable after the use of Gd3⁺, on the timescale of this experiment. Hence, this experimental work suggests that Ca2⁺ is significantly affecting the electrophysiological communication pattern among PC-3 cell populations. Our measuring platform opens up new avenues for real time and highly sensitive investigations of prostate cancer signalling pathways.

scholarly journals MP02-12 PROSTATE-SPECIFIC EXTRACELLULAR VESICLES AS A NOVEL BIOMARKER IN HUMAN PROSTATE CANCER

2016 ◽  
Vol 195 (4S) ◽  
Author(s):  
Yong Hyun Park ◽  
Hyun Woo Shin ◽  
Ae Ryang Jung ◽  
Oh Sung Kwon ◽  
Jaesung Park ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Extracellular Vesicles ◽  
Human Prostate ◽  
Human Prostate Cancer

scholarly journals Serum Levels of Selenium, Zinc, Copper, Manganese, and Iron in Prostate Cancer Patients

2020 ◽  
Vol 14 (1) ◽  
pp. 44-49 ◽  
Author(s):  
Saleh A.K. Saleh ◽  
Heba M. Adly ◽  
Altaf A. Abdelkhaliq ◽  
Anmar M. Nassir
Keyword(s):  
Prostate Cancer ◽  
Trace Elements ◽  
Cancer Patients ◽  
Serum Levels ◽  
Cellular Growth ◽  
Control Groups ◽  
Icp Ms ◽  
Copper Manganese ◽  
Trace Element Contents ◽  
Serum Trace Elements

Backgrounds: Variations of trace element contents may be associated with several diseases including metabolic disorders, cellular growth disturbance, mutation and tumorigenesis. Prostate cancer is the second most common male cancer worldwide and stand fifth most common male cancer in Saudi Arabia. Objective: In the present study, Serum levels of selenium, zinc, copper, manganese, and iron were measured in patients with BPH and prostate cancer aiming to explore the association between these elements and prostate cancer. Patients and Methods: The study included 40 newly diagnosed prostate cancer patients, 22 patients with BPH and 30 healthy male subjects. All participant groups had similar socio-economic levels. Fasting blood samples were collected from all subjects and before any intervention for the patients. Serum PSA concentrations were analyzed by ELIZA and trace elements Se, Zn, Cu, Mn and Fe were measured by ICP-MS. Results: Serum Se, Zn, and Mn levels of prostate cancer patients were significantly decreased compared to control groups. The levels of serum Cu and Fe were significantly higher in prostate cancer patients than in control groups. Conclusion: In the present study, an association was noticed between serum trace elements disturbance and prostate cancer. The decreased levels of Se, Zn, and Mn, and increased Cu and Fe levels may play significant roles in the initiation of prostate cancer. However, future prospective studies on the causes of trace elements alteration in prostate cancer patients are needed as well as to illustrate the relation between different prostate cancer stages and trace elements concentrations.

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