scholarly journals Comprehensive palmitoyl-proteomic analysis identifies distinct protein signatures for large and small cancer-derived extracellular vesicles

2019 ◽  
Author(s):  
Javier Mariscal ◽  
Tatyana Vagner ◽  
Minhyung Kim ◽  
Bo Zhou ◽  
Andrew Chin ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Extracellular Vesicles ◽  
Cancer Progression ◽  
Large Scale ◽  
Biological Processes ◽  
Label Free ◽  
Disease Biomarkers ◽  
Novel Approach ◽  
Small Cancer ◽  
Promising Source

AbstractExtracellular vesicles (EVs) are membrane-enclosed particles that play an important role in cancer progression and have emerged as a promising source of circulating biomarkers. Protein S-acylation, also known as palmitoylation, has been proposed as a post-translational mechanism that modulates the dynamics of EV biogenesis and protein cargo sorting. However, technical challenges have limited large-scale profiling of the whole palmitoyl-proteins of EVs. We successfully employed a novel approach that combines low-background acyl-biotinyl exchange (LB-ABE) with label-free proteomics to analyze the palmitoyl proteome of large EVs (L-EVs) and small EVs (S-EVs) from prostate cancer cells. Here we report the first palmitoyl-protein signature of EVs, and demonstrate that L- and S-EVs harbor proteins associated with distinct biological processes and subcellular origin. We identified STEAP1, STEAP2, and ABBC4 as prostate cancer-specific palmitoyl proteins enriched in both EV populations in comparison with the originating cell lines. Importantly, the presence of the above proteins in EVs was significantly reduced upon inhibition of palmitoylation in the producing cells. These results suggest that palmitoylation may be involved in the differential sorting of proteins to distinct EV populations and allow for better detection of disease biomarkers.

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 The role of the androgen receptor as a driver and mitigator of cellular stress

2020 ◽  
Vol 65 (2) ◽  
pp. R19-R33
Author(s):  
Dimitrios Doultsinos ◽  
Ian Mills
Keyword(s):  
Prostate Cancer ◽  
Protein Synthesis ◽  
Androgen Receptor ◽  
Cancer Progression ◽  
Prostate Gland ◽  
Specific Antigen ◽  
Nuclear Hormone Receptor ◽  
Biological Processes ◽  
Normal Prostate ◽  
Mtor Activity

Prostate cancer is a high-incidence male cancer, which is dependent on the activity of a nuclear hormone receptor, the androgen receptor (AR). Since the AR is required for both normal prostate gland development and for prostate cancer progression, it is possible that prostate cancer evolves from perturbations in AR-dependent biological processes that sustain specialist glandular functions. The archetypal example of course is the use of prostate specific antigen (PSA), an organ-type specific component of the normal prostate secretome, as a biomarker of prostate cancer. Furthermore, localised prostate cancer is characterised by a low proliferative index and a heterogenous array of somatic mutations aligned to a multifocal disease pattern. We and others have identified a number of biological processes that are AR dependent and represent aberrations in significant glandular processes. Glands are characterised by high rates of metabolic activity including protein synthesis supported by co-dependent processes such as glycosylation, organelle biogenesis and vesicle trafficking. Impairments in anabolic metabolism and in protein folding/processing will inevitably impose proteotoxic and oxidative stress on glandular cells and, in particular, luminal epithelial cells for which secretion is their primary function. As cancer develops there is also significant metabolic dysregulation including impaired negative feedback effects on glycolytic and anabolic activity under conditions of hypoxia and heightened protein synthesis due to dysregulated PI 3-kinase/mTOR activity. In this review we will focus on the components of the AR regulome that support cancer development as well as glandular functions focussing on the unfolded protein response and on regulators of mTOR activity.

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

The cholesterol metabolite 27-hydroxycholesterol increases the secretion of extracellular vesicles which promote breast cancer progression

Endocrinology ◽  
2021 ◽  
Author(s):  
Amy E Baek ◽  
Natalia Krawczynska ◽  
Anasuya Das Gupta ◽  
Svyatoslav Victorovich Dvoretskiy ◽  
Sixian You ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Tumor Growth ◽  
Cancer Cells ◽  
Extracellular Vesicles ◽  
Cancer Progression ◽  
Myeloid Cells ◽  
Breast Cancer Progression ◽  
Label Free ◽  
Tumor Growth And Metastasis ◽  
Promote Breast Cancer

Abstract Cholesterol has been implicated in the clinical progression of breast cancer, a disease that continues to be the most commonly diagnosed cancer in women. Previous work has identified the cholesterol metabolite, 27-hydroxycholesterol (27HC), as a major mediator of the effects of cholesterol on breast tumor growth and progression. 27HC can act as an estrogen receptor (ER) modulator to promote the growth of ERα+ tumors, and a liver x receptor (LXR) ligand in myeloid immune cells to establish an immune-suppressive program. In fact, the metastatic properties of 27HC require the presence of myeloid cells, with neutrophils (PMNs) being essential for the increase in lung metastasis in murine models. In an effort to further elucidate the mechanisms by which 27HC alters breast cancer progression, we made the striking finding that 27HC promoted the secretion of extracellular vesicles (EVs), a diverse assortment of membrane bound particles that include exosomes. The resulting EVs had a size distribution that was skewed slightly larger, compared to EVs generated by treating cells with vehicle. The increase in EV secretion and size was consistent across three different subtypes: primary murine PMNs, RAW264.7 monocytic cells and 4T1 murine mammary cancer cells. Label-free analysis of 27HC-EVs indicated that they had a different metabolite composition to those from vehicle-treated cells. Importantly, 27HC-EVs from primary PMNs promoted tumor growth and metastasis in two different syngeneic models, demonstrating the potential role of 27HC induced EVs in the progression of breast cancer. EVs from PMNs were taken up by cancer cells, macrophages and PMNs, but not T cells. Since EVs did not alter proliferation of cancer cells, it is likely that their pro-tumor effects are mediated through interactions with myeloid cells. Interestingly, RNA-seq analysis of tumors from 27HC-EV treated mice do not display significantly altered transcriptomes, suggesting that the effects of 27HC-EVs occur early on in tumor establishment and growth. Future work will be required to elucidate the mechanisms by which 27HC increases EV secretion, and how these EVs promote breast cancer progression. Collectively however, our data indicate that EV secretion and content can be regulated by a cholesterol metabolite, which may have detrimental effects in terms of disease progression, important findings given the prevalence of both breast cancer and hypercholesterolemia.

scholarly journals Extracellular Vesicles-Mediated Transfer of miRNA Let-7b from PC3 Cells to Macrophages

Genes ◽  
2020 ◽  
Vol 11 (12) ◽  
pp. 1495
Author(s):  
Egidia Costanzi ◽  
Rita Romani ◽  
Paolo Scarpelli ◽  
Ilaria Bellezza
Keyword(s):  
Prostate Cancer ◽  
Extracellular Vesicles ◽  
Cancer Progression ◽  
Inflammatory Responses ◽  
Target Cells ◽  
Prostate Cell ◽  
Prostate Cancer Therapy ◽  
Reverse Transcription Quantitative Pcr ◽  
Pc3 Cells

Prostate-derived extracellular vesicles (pEVs) may represent a way to selectively transport cargo molecules from the producing cells to the target cells to allow biological events, both in physiological and pathological circumstances. pEVs cargo participates in the modulation of the inflammatory responses in physiological conditions and during cancer progression. In the present study, we examined the expression levels of miRNA Let-7b, in both precursor and mature forms, in noncancerous and cancerous prostate cell lines, PNT2 and PC3 respectively, and in their extracellular vesicles (EVs) using reverse-transcription quantitative PCR strategies. We showed that miRNA Let-7b was highly expressed in noncancerous cells and strongly decreased in cancerous PC3 cells, while the opposite was observed in the respective EVs, thus supporting the tumor suppressor role of miRNA Let7-b. We also demonstrated that miRNA Let-7b can be transferred to THP-1 cells via EVs, which are known to induce TAM-like polarization. Our results support the view that miRNA Let-7 b, contained in PC3-derived EVs, is associated with the increase in the miRNA Let7-b observed in TAM-like macrophages. Overall, our results indicate that circulating EV-loaded miRNA might be useful biomarkers for prostate cancer progression and might also support a possible use of pEVs as targets for prostate cancer therapy.

scholarly journals A pseudotemporal causality approach to identifying miRNA–mRNA interactions during biological processes

2020 ◽  
Author(s):  
Andres M Cifuentes-Bernal ◽  
Vu Vh Pham ◽  
Xiaomei Li ◽  
Lin Liu ◽  
Jiuyong Li ◽  
...  
Keyword(s):  
Single Cell ◽  
Cancer Progression ◽  
Cancer Metastasis ◽  
Biological Process ◽  
Supplementary Information ◽  
Biological Processes ◽  
Mesenchymal Transition ◽  
Novel Approach ◽  
Static Information ◽  
Temporal Aspect

Abstract Motivation microRNAs (miRNAs) are important gene regulators and they are involved in many biological processes, including cancer progression. Therefore, correctly identifying miRNA–mRNA interactions is a crucial task. To this end, a huge number of computational methods has been developed, but they mainly use the data at one snapshot and ignore the dynamics of a biological process. The recent development of single cell data and the booming of the exploration of cell trajectories using ‘pseudotime’ concept have inspired us to develop a pseudotime-based method to infer the miRNA–mRNA relationships characterizing a biological process by taking into account the temporal aspect of the process. Results We have developed a novel approach, called pseudotime causality, to find the causal relationships between miRNAs and mRNAs during a biological process. We have applied the proposed method to both single cell and bulk sequencing datasets for Epithelia to Mesenchymal Transition, a key process in cancer metastasis. The evaluation results show that our method significantly outperforms existing methods in finding miRNA–mRNA interactions in both single cell and bulk data. The results suggest that utilizing the pseudotemporal information from the data helps reveal the gene regulation in a biological process much better than using the static information. Availability and implementation R scripts and datasets can be found at https://github.com/AndresMCB/PTC. Supplementary information Supplementary data are available at Bioinformatics online.

scholarly journals 4284 Development of a Survey Instrument to Predict Uptake of and Adherence to Active Surveillance among Men with Low-Risk Prostate Cancer

2020 ◽  
Vol 4 (s1) ◽  
pp. 128-129
Author(s):  
Aaron T Seaman ◽  
Kathryn L. Taylor ◽  
Kimberly Davis ◽  
Kenneth G. Nepple ◽  
Michelle A. Mengeling ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Active Surveillance ◽  
Cancer Progression ◽  
Large Scale ◽  
Survey Instrument ◽  
Low Risk ◽  
Cognitive Interviews ◽  
Risk Prostate Cancer ◽  
Low Risk Prostate Cancer ◽  
Single Instrument

OBJECTIVES/GOALS: Active surveillance (AS) is a recognized strategy to manage low-risk prostate cancer (PCa) in the absence of cancer progression. Little prospective data exists on the decisional factors associated with selecting and adhering to AS in the absence of cancer progression. We developed a survey instrument to predict AS uptake and adherence. METHODS/STUDY POPULATION: We utilized a three-step process to develop and refine a survey instrument designed to predict AS uptake and adherence among men with low-risk PCa: 1) We identified relevant conceptual domains based on prior research and a literature review. 2) We conducted 21 semi-structured concept elicitation interviews to identify patient-perceived barriers and facilitators to AS uptake and adherence among men with a low-risk PCa who had been on AS for ≥1 year. The identified concepts became the basis of our draft survey instrument. 3) We conducted two rounds of cognitive interviews with men with low-risk PCa (n = 12; n = 6) to refine and initially validate the instrument. RESULTS/ANTICIPATED RESULTS: Relevant concepts identified from the initial interviews included the importance of patient: knowledge of their PCa risk, value in delaying treatment, trust in urologist and the AS surveillance protocol, and perceived social support. Initially, the survey was drafted as a single instrument to be administered after a patient had selected AS comprising sections on patient health, AS selection, and AS adherence. Based on the first round of cognitive interviews, we revised the single instrument into two surveys to track shifts in patient preference and experience. The first, administered at diagnosis, focuses on selection, and the second, a 6-month follow up, focuses on adherence. Following revisions, participants indicated the revised 2-part instrument was clear and not burdensome to complete. DISCUSSION/SIGNIFICANCE OF IMPACT: The instrument’s content validity was evaluated through cognitive interviews, which supported that the survey items’ intended and understood meanings were isomorphic. In the next phase, we plan to conduct a large-scale prospective cohort study to evaluate the predictive validity, after which it will be available for public research use.

scholarly journals Regional differences of the urinary proteomes in healthy Chinese individuals

2017 ◽  
Author(s):  
Jianqiang Wu ◽  
Weiwei Qin ◽  
Li Pan ◽  
Fanshuang Zhang ◽  
Xiaorong Wang ◽  
...  
Keyword(s):  
Clinical Studies ◽  
Regional Differences ◽  
Large Scale ◽  
Differentially Expressed ◽  
Clinical Proteomics ◽  
Label Free ◽  
Sample Collection ◽  
Urine Proteome ◽  
Disease Biomarkers ◽  
Urine Biomarker

AbstractUrine is a promising biomarker source for clinical proteomics studies. Although regional physiological differences are common in multi-center clinical studies, the presence of significant differences in the urinary proteomes of individuals from different regions remains unknown. In this study, morning urine samples were collected from healthy urban residents in three regions of China and urinary proteins were preserved using a membrane-based method (Urimem). The urine proteomes of 27 normal samples were analyzed using LC-MS/MS and compared among the three regions. We identified 1,898 proteins from Urimem samples using label-free proteome quantification, of which 62 urine proteins were differentially expressed among the three regions. Hierarchical clustering analysis showed that inter-regional differences caused less significant changes in the urine proteome than inter-sex differences. Of the 62 differentially expressed proteins, 10 have been reported to be disease biomarkers in previous clinical studies. Urimem facilitates urinary protein storage for large-scale urine sample collection, and thus accelerates biobank development and urine biomarker studies employing proteomics approaches. Regional differences are a confounding factor influencing the urine proteome and should be considered in future multi-center biomarker studies.

scholarly journals Extracellular RNA in kidney disease: moving slowly but surely from bench to bedside

2020 ◽  
Vol 134 (21) ◽  
pp. 2893-2895
Author(s):  
Robert W. Hunter ◽  
Neeraj Dhaun
Keyword(s):  
Kidney Disease ◽  
Extracellular Vesicles ◽  
Biological Processes ◽  
Novel Therapies ◽  
Extracellular Rna ◽  
Disease Biomarkers ◽  
Cell Biol ◽  
Short Time ◽  
Functional Rna

Abstract We have known for just over a decade that functional RNA is shuttled between cells (Nat. Cell Biol. (2007) 9, 654–659). In that short time, there have been countless reports of extracellular RNA (exRNA) and extracellular vesicles (EVs) participating in diverse biological processes in development (Dev. Cell (2017) 40, 95–103), homoeostasis (Nature (2017) 542, 450–455) and disease (Nature (2017) 546, 498–503). Unsurprisingly – as these disciplines are still in their infancies – most of this work is still in the ‘discovery biology’ phase. However, exRNA and EVs show promise as disease biomarkers and could be harnessed in novel therapies.

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