scholarly journals Ovarian-Cancer-Associated Extracellular Vesicles: Microenvironmental Regulation and Potential Clinical Applications

Cells ◽  
2021 ◽  
Vol 10 (9) ◽  
pp. 2272
Author(s):  
Priyakshi Kalita-de Croft ◽  
Shayna Sharma ◽  
Nihar Godbole ◽  
Gregory E. Rice ◽  
Carlos Salomon
Keyword(s):  
Ovarian Cancer ◽  
Tumor Microenvironment ◽  
Cancer Cells ◽  
Extracellular Vesicles ◽  
Cell Function ◽  
Early Stage ◽  
Cell Communication ◽  
Therapeutic Agents ◽  
Cell Of Origin ◽  
Wide Range

Ovarian cancer (OC) is one of the most diagnosed gynecological cancers in women. Due to the lack of effective early stage screening, women are more often diagnosed at an advanced stage; therefore, it is associated with poor patient outcomes. There are a lack of tools to identify patients at the highest risk of developing this cancer. Moreover, early detection strategies, therapeutic approaches, and real-time monitoring of responses to treatment to improve survival and quality of life are also inadequate. Tumor development and progression are dependent upon cell-to-cell communication, allowing cancer cells to re-program cells not only within the surrounding tumor microenvironment, but also at distant sites. Recent studies established that extracellular vesicles (EVs) mediate bi-directional communication between normal and cancerous cells. EVs are highly stable membrane vesicles that are released from a wide range of cells, including healthy and cancer cells. They contain tissue-specific signaling molecules (e.g., proteins and miRNA) and, once released, regulate target cell phenotypes, inducing a pro-tumorigenic and immunosuppressive phenotype to contribute to tumor growth and metastasis as well as proximal and distal cell function. Thus, EVs are a “fingerprint” of their cell of origin and reflect the metabolic status. Additionally, via the capacity to evade the immune system and remain stable over long periods in circulation, EVs can be potent therapeutic agents. This review examines the potential role of EVs in the different aspects of the tumor microenvironment in OC, as well as their application in diagnosis, delivery of therapeutic agents, and disease monitoring.

scholarly journals Extracellular Vesicles and Cancer: A Focus on Metabolism, Cytokines, and Immunity

Cancers ◽  
2020 ◽  
Vol 12 (1) ◽  
pp. 171 ◽  
Author(s):  
Donatella Lucchetti ◽  
Claudio Ricciardi Tenore ◽  
Filomena Colella ◽  
Alessandro Sgambato
Keyword(s):  
Tumor Microenvironment ◽  
Cancer Cells ◽  
Cell Fate ◽  
Extracellular Vesicles ◽  
Cancer Progression ◽  
Cell Communication ◽  
Metabolic Effects ◽  
Metabolic Phenotype ◽  
Metabolic Switch

A better understanding of the mechanisms of cell communication between cancer cells and the tumor microenvironment is crucial to develop personalized therapies. It has been known for a while that cancer cells are metabolically distinct from other non-transformed cells. This metabolic phenotype is not peculiar to cancer cells but reflects the characteristics of the tumor microenvironment. Recently, it has been shown that extracellular vesicles are involved in the metabolic switch occurring in cancer and tumor-stroma cells. Moreover, in an immune system, the metabolic programs of different cell subsets are distinctly associated with their immunological function, and extracellular vesicles could be a key factor in the shift of cell fate modulating cancer immunity. Indeed, during tumor progression, tumor-associated immune cells and fibroblasts acquire a tumor-supportive and anti-inflammatory phenotype due to their interaction with tumor cells and several findings suggest a role of extracellular vesicles in this phenomenon. This review aims to collect all the available evidence so far obtained on the role of extracellular vesicles in the modulation of cell metabolism and immunity. Moreover, we discuss the possibility for extracellular vesicles of being involved in drug resistance mechanisms, cancer progression and metastasis by inducing immune-metabolic effects on surrounding cells.

Extracellular vesicles in cancer progression: are they part of the problem or part of the solution?

Nanomedicine ◽  
2020 ◽  
Vol 15 (26) ◽  
pp. 2625-2641
Author(s):  
Juliete Nathali Scholl ◽  
Camila Kehl Dias ◽  
Laurent Muller ◽  
Ana Maria Oliveira Battastini ◽  
Fabrício Figueiró
Keyword(s):  
Immune Response ◽  
T Cell ◽  
Tumor Microenvironment ◽  
Cancer Cells ◽  
Extracellular Vesicles ◽  
Cancer Progression ◽  
Immune Cells ◽  
Cell Function ◽  
Cytokine Release

Extracellular vesicles (EVs) are released especially by cancer cells. They modulate the tumor microenvironment by interacting with immune cells while carrying immunosuppressive or immunostimulatory molecules. In this review, we will explore some conflicting reports regarding the immunological outcomes of EVs in cancer progression, in which they might initiate an antitumor immune response or an immunosuppressive response. Concerning immunosuppression, the role of tumor-derived EVs’ in the adenosinergic system is underexplored. The enhancement of adenosine (ADO) levels in the tumor microenvironment impairs T-cell function and cytokine release. However, some tumor-derived EVs may deliver immunostimulatory factors, promoting immunogenic activity, even with ADO production. The modulatory role of ADO over the tumor progression represents a piece in an intricate microenvironment with anti and pro tumoral seesaw-like mechanisms.

The Role of Cytokines in Interactions of Mesenchymal Stem Cells and Breast Cancer Cells

2020 ◽  
Vol 15 ◽  
Author(s):  
Hariharan Jayaraman ◽  
Nalinkanth V. Ghone ◽  
Ranjith Kumaran R ◽  
Himanshu Dashora
Keyword(s):  
Breast Cancer ◽  
Stem Cells ◽  
Mesenchymal Stem Cells ◽  
Tumor Microenvironment ◽  
Cancer Cells ◽  
Cell Communication ◽  
Extra Cellular Matrix ◽  
Cytokine Signaling ◽  
Cellular Matrix

: Mesenchymal stem cells because of its high proliferation, differentiation, regenerative capacity, and ease of availability have been a popular choice in cytotherapy. Mesenchymal Stem Cells (MSCs) have a natural tendency to home in a tumor microenvironment and acts against it, owing to the similarity of the latter to an injured tissue environment. Several studies have confirmed the recruitment of MSCs by tumor through various cytokine signaling that brings about phenotypic changes to cancer cells, thereby promoting migration, invasion, and adhesion of cancer cells. The contrasting results on MSCs as a tool for cancer cytotherapy may be due to the complex cell to cell interaction in the tumor microenvironment, which involves various cell types such as cancer cells, immune cells, endothelial cells, and cancer stem cells. Cell to cell communication can be simple or complex and it is transmitted through various cytokines among multiple cell phenotypes, mechano-elasticity of the extra-cellular matrix surrounding the cancer cells, and hypoxic environments. In this article, the role of the extra-cellular matrix proteins and soluble mediators that acts as communicators between mesenchymal stem cells and cancer cells has been reviewed specifically for breast cancer, as it is the leading member of cancer malignancies. The comprehensive information may be beneficial in finding a new combinatorial cytotherapeutic strategy using MSCs by exploiting the cross-talk between mesenchymal stem cells and cancer cells for treating breast cancer.

scholarly journals Developing Picornaviruses for Cancer Therapy

Cancers ◽  
2019 ◽  
Vol 11 (5) ◽  
pp. 685 ◽  
Author(s):  
Cormac McCarthy ◽  
Nadishka Jayawardena ◽  
Laura N. Burga ◽  
Mihnea Bostina
Keyword(s):  
Cancer Therapy ◽  
Anticancer Activity ◽  
Cancer Cells ◽  
Rna Viruses ◽  
Therapeutic Agents ◽  
Oncolytic Viruses ◽  
Wide Range ◽  
Positive Sense

Oncolytic viruses (OVs) form a group of novel anticancer therapeutic agents which selectively infect and lyse cancer cells. Members of several viral families, including Picornaviridae, have been shown to have anticancer activity. Picornaviruses are small icosahedral non-enveloped, positive-sense, single-stranded RNA viruses infecting a wide range of hosts. They possess several advantages for development for cancer therapy: Their genomes do not integrate into host chromosomes, do not encode oncogenes, and are easily manipulated as cDNA. This review focuses on the picornaviruses investigated for anticancer potential and the mechanisms that underpin this specificity.

scholarly journals Extracellular Vesicles and Ovarian Cancer

2021 ◽  
Author(s):  
Diego Aviles ◽  
David Warshal ◽  
Lauren Krill ◽  
Olga Ostrovsky
Keyword(s):  
Ovarian Cancer ◽  
Cancer Cells ◽  
Extracellular Vesicles ◽  
Immune Modulation ◽  
Treatment Modalities ◽  
Early Screening ◽  
Novel Targets ◽  
Immunomodulatory Therapies ◽  
Improve Clinical Outcome ◽  
Screening And Diagnosis

Extracellular vesicles (EVs) are a varied group of cell-derived, microscopic, fluid-filled pouches released from cells into neighboring microenvironments that are quickly gaining recognition as a potentially powerful tool against epithelial ovarian cancer (EOC). Recent studies show that not only do EVs play an integral part in the development of cancer through intercellular communication, cell survival, and immune modulation but also may assist with early diagnosis and improved treatments. EOC currently has few effective screening options for early detection of this disease; and, therefore, it is detected at an advanced stage where it is more likely to recur, develop chemoresistance, and ultimately become fatal. Newer research has evaluated EVs as biomarkers for early screening and diagnosis and as novel targets for treatment of EOC. Moreover, EVs are possible targets for novel immunomodulatory therapies to directly target cancer cells or make cancer cells more susceptible to other treatment modalities. Therefore, EVs present an exciting, promising approach which may improve clinical outcome for EOC patients.

scholarly journals Nuclear Morphology Optimized Deep Hybrid Learning (NUMODRIL) For Accurate Diagnosis and Prognosis of Ovarian Cancer

2021 ◽  
Author(s):  
Duhita Sengupta ◽  
Sk Nishan Ali ◽  
Aditya Bhattacharya ◽  
Joy Mustafi ◽  
Asima Mukhopadhyay ◽  
...  
Keyword(s):  
Ovarian Cancer ◽  
Cancer Cells ◽  
Morphological Changes ◽  
Hybrid Learning ◽  
Nuclear Shape ◽  
Machine Learning Techniques ◽  
Serous Carcinoma ◽  
Altered Expression ◽  
Diagnosis And Prognosis ◽  
Wide Range

Abstract Nuclear morphological features are potent determining factors for clinical diagnostic approaches adopted by pathologists to analyse the malignant potential of cancer cells. Considering the structural alteration of nucleus in cancer cells, various groups have developed machine learning techniques based on variation in nuclear morphometric information like nuclear shape, size, nucleus-cytoplasm ratio and various non-parametric methods like deep learning have also been tested for analysing immunohistochemistry images of tissue samples for diagnosing various cancers. Our aim is to study the morphometric distribution of nuclear lamin proteins as a specific parameter in ovarian cancer tissues. Besides being the principal mechanical component of the nucleus, lamins also present a platform for binding of proteins and chromatin thereby serving a wide range of nuclear functions like maintenance of genome stability, chromatin regulation. Altered expression of lamins in different subtypes of cancer is now evident from data across the world. It has already been elucidated that in ovarian cancer, extent of alteration in nuclear shape and morphology can determine degree of genetic changes and thus can be utilized to predict the outcome of low to high form of serous carcinoma. In this work, we have performed exhaustive imaging of ovarian cancer versus normal tissue and introduced a novel Deep Hybrid Learning approach on the basis of the distribution of lamin proteins. Although developed with ovarian cancer datasets in view, this architecture would be of immense importance in accurate and fast diagnosis and prognosis of all types of cancer associated with lamin induced morphological changes and would perform across small/medium to large datasets with equal efficiency.

scholarly journals The Crowded Crosstalk between Cancer Cells and Stromal Microenvironment in Gynecological Malignancies: Biological Pathways and Therapeutic Implication

2019 ◽  
Vol 20 (10) ◽  
pp. 2401 ◽  
Author(s):  
Rosalba De Nola ◽  
Alessio Menga ◽  
Alessandra Castegna ◽  
Vera Loizzi ◽  
Girolamo Ranieri ◽  
...  
Keyword(s):  
Ovarian Cancer ◽  
Cervical Cancer ◽  
Tumor Microenvironment ◽  
Epithelial Ovarian Cancer ◽  
Cancer Cells ◽  
T Regulatory Cells ◽  
Tumor Infiltrating Lymphocytes ◽  
Estrogen Receptor Α ◽  
Biological Pathways ◽  
Cell Subpopulation

The tumor microenvironment plays a pillar role in the progression and the distance dissemination of cancer cells in the main malignancies affecting women—epithelial ovarian cancer, endometrial cancer and cervical cancer. Their milieu acquires specific properties thanks to intense crosstalk between stromal and cancer cells, leading to a vicious circle. Fibroblasts, pericytes, lymphocytes and tumor associated-macrophages orchestrate most of the biological pathways. In epithelial ovarian cancer, high rates of activated pericytes determine a poorer prognosis, defining a common signature promoting ovarian cancer proliferation, local invasion and distant spread. Mesenchymal cells also release chemokines and cytokines under hormonal influence, such as estrogens that drive most of the endometrial cancers. Interestingly, the architecture of the cervical cancer milieu is shaped by the synergy of high-risk Human Papilloma Virus oncoproteins and the activity of stromal estrogen receptor α. Lymphocytes represent a shield against cancer cells but some cell subpopulation could lead to immunosuppression, tumor growth and dissemination. Cytotoxic tumor infiltrating lymphocytes can be eluded by over-adapted cancer cells in a scenario of immune-tolerance driven by T-regulatory cells. Therefore, the tumor microenvironment has a high translational potential offering many targets for biological and immunological therapies.

scholarly journals Gastric Cancer Extracellular Vesicles Tune the Migration and Invasion of Epithelial and Mesenchymal Cells in a Histotype-Dependent Manner

2019 ◽  
Vol 20 (11) ◽  
pp. 2608 ◽  
Author(s):  
Sara Rocha ◽  
Sara Pinto Teles ◽  
Mafalda Azevedo ◽  
Patrícia Oliveira ◽  
Joana Carvalho ◽  
...  
Keyword(s):  
Gastric Cancer ◽  
Flow Cytometry ◽  
Tumor Microenvironment ◽  
Cancer Cells ◽  
Extracellular Vesicles ◽  
Mesenchymal Cells ◽  
Migration And Invasion ◽  
Dependent Manner ◽  
Diffuse Type ◽  
Transmission Electron

Extracellular vesicles (EVs) secreted by tumor cells modulate recipient cells’ behavior, but their effects in normal cells from the tumor microenvironment remain poorly known. In this study, we dissected the functional impact of gastric cancer cell-derived EVs (GC-EVs), representative of distinct GC histotypes, on the behavior of normal isogenic epithelial and mesenchymal cells. GC-EVs were isolated by differential centrifugation and characterized by transmission electron microscopy, nanoparticle tracking analysis, and imaging flow-cytometry. Epithelial and mesenchymal cells were challenged with GC-EVs and submitted to proliferation, migration, and invasion assays. Expression of epithelial and mesenchymal markers was followed by immunofluorescence and flow-cytometry. Our results indicated that GC-EVs secreted by diffuse-type cancer cells decrease the migration of recipient cells. This effect was more prominent and persistent for mesenchymal recipient cells, which also increased Fibronectin expression in response to EVs. GC-EVs secreted by cancer cells derived from tumors with an intestinal component increased invasion of recipient epithelial cells, without changes in EMT markers. In summary, this study demonstrated that GC-EVs modulate the migration and invasion of epithelial and mesenchymal cells from the tumor microenvironment, in a histotype-dependent manner, highlighting new features of intestinal and diffuse-type GC cells, which may help explaining differential metastasis patterns and aggressiveness of GC histotypes.

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