scholarly journals Frontiers in Anti-cancer Drug Discovery: Challenges and Perspectives of Metformin as Anti-angiogenic Add-on Therapy in Glioblastoma

2021 ◽  
Author(s):  
Laura Guarnaccia ◽  
Stefania Elena Navone ◽  
Matteo Maria Masseroli ◽  
Melissa Balsamo ◽  
Manuela Caroli ◽  
...  
Keyword(s):  
Target Therapy ◽  
Cancer Drug ◽  
Cancer Drug Discovery ◽  
Average Survival ◽  
Anti Cancer ◽  
Tumor Neovascularization ◽  
Novel Therapeutic Strategies

Glioblastoma (GBM) is the most common primitive tumor in adult central nervous system (CNS), classified as grade IV according to WHO 2016 classification. GBM shows a poor prognosis with an average survival of approximately 15 months, representing an extreme therapeutic challenge. One of its distinctive and aggressive features is aberrant angiogenesis, which drives tumor neovascularization, representing a promising candidate for molecular target therapy. Although several pre-clinical studies and clinical trials have shown promising results, anti-angiogenic drugs have not led to a significant improvement in overall survival (OS), suggesting the necessity of identifying novel therapeutic strategies. Metformin, an anti-hyperglycemic drug of the Biguanides family, used as first line treatment in Type 2 Diabetes Mellitus (T2DM), demonstrated in vitro and in vivo antitumoral efficacy in many different tumors, including GBM. From this evidence, a process of repurposing of the drug has begun, leading to the demonstration of the inhibition of various oncopromoter mechanisms and, consequently, to the identification of the molecular pathways involved. Here, we review and discuss the potential metformin’s antitumoral effects on GBM, inspecting if it could properly act as an anti-angiogenic compound to be considered as a safely add-on therapy in the treatment and management of GBM patients.

scholarly journals Frontiers in Anti-Cancer Drug Discovery: Challenges and Perspectives of Metformin as Anti-Angiogenic Add-On Therapy in Glioblastoma

Cancers ◽  
2021 ◽  
Vol 14 (1) ◽  
pp. 112
Author(s):  
Laura Guarnaccia ◽  
Giovanni Marfia ◽  
Matteo Maria Masseroli ◽  
Stefania Elena Navone ◽  
Melissa Balsamo ◽  
...  
Keyword(s):  
Target Therapy ◽  
Cancer Drug ◽  
Cancer Drug Discovery ◽  
Average Survival ◽  
Anti Cancer ◽  
Tumor Neovascularization ◽  
Novel Therapeutic Strategies

Glioblastoma is the most common primitive tumor in adult central nervous system (CNS), classified as grade IV according to WHO 2016 classification. Glioblastoma shows a poor prognosis with an average survival of approximately 15 months, representing an extreme therapeutic challenge. One of its distinctive and aggressive features is aberrant angiogenesis, which drives tumor neovascularization, representing a promising candidate for molecular target therapy. Although several pre-clinical studies and clinical trials have shown promising results, anti-angiogenic drugs have not led to a significant improvement in overall survival (OS), suggesting the necessity of identifying novel therapeutic strategies. Metformin, an anti-hyperglycemic drug of the Biguanides family, used as first line treatment in Type 2 Diabetes Mellitus (T2DM), has demonstrated in vitro and in vivo antitumoral efficacy in many different tumors, including glioblastoma. From this evidence, a process of repurposing of the drug has begun, leading to the demonstration of inhibition of various oncopromoter mechanisms and, consequently, to the identification of the molecular pathways involved. Here, we review and discuss metformin’s potential antitumoral effects on glioblastoma, inspecting if it could properly act as an anti-angiogenic compound to be considered as a safely add-on therapy in the treatment and management of glioblastoma patients.

Bioinformatics Approaches for Anti-cancer Drug Discovery

2019 ◽  
Vol 21 (1) ◽  
pp. 3-17 ◽  
Author(s):  
Kening Li ◽  
Yuxin Du ◽  
Lu Li ◽  
Dong-Qing Wei
Keyword(s):  
Drug Discovery ◽  
Cancer Therapy ◽  
Biological Network ◽  
Computational Prediction ◽  
Cancer Drug ◽  
Cancer Drugs ◽  
Cancer Drug Discovery ◽  
Anti Cancer

Drug discovery is important in cancer therapy and precision medicines. Traditional approaches of drug discovery are mainly based on in vivo animal experiments and in vitro drug screening, but these methods are usually expensive and laborious. In the last decade, omics data explosion provides an opportunity for computational prediction of anti-cancer drugs, improving the efficiency of drug discovery. High-throughput transcriptome data were widely used in biomarkers’ identification and drug prediction by integrating with drug-response data. Moreover, biological network theory and methodology were also successfully applied to the anti-cancer drug discovery, such as studies based on protein-protein interaction network, drug-target network and disease-gene network. In this review, we summarized and discussed the bioinformatics approaches for predicting anti-cancer drugs and drug combinations based on the multi-omic data, including transcriptomics, toxicogenomics, functional genomics and biological network. We believe that the general overview of available databases and current computational methods will be helpful for the development of novel cancer therapy strategies.

Prevascularized, Co-Culture Model for Breast Cancer Drug Development

2012 ◽  
Author(s):  
Lauren Marshall ◽  
Isabel Löwstedt ◽  
Paul Gatenholm ◽  
Joel Berry
Keyword(s):  
Breast Cancer ◽  
Drug Development ◽  
Three Dimensional ◽  
Human Tumor ◽  
3D Models ◽  
Cancer Drug ◽  
Cancer Therapies ◽  
Anti Cancer

The objective of this study was to create 3D engineered tissue models to accelerate identification of safe and efficacious breast cancer drug therapies. It is expected that this platform will dramatically reduce the time and costs associated with development and regulatory approval of anti-cancer therapies, currently a multi-billion dollar endeavor [1]. Existing two-dimensional (2D) in vitro and in vivo animal studies required for identification of effective cancer therapies account for much of the high costs of anti-cancer medications and health insurance premiums borne by patients, many of whom cannot afford it. An emerging paradigm in pharmaceutical drug development is the use of three-dimensional (3D) cell/biomaterial models that will accurately screen novel therapeutic compounds, repurpose existing compounds and terminate ineffective ones. In particular, identification of effective chemotherapies for breast cancer are anticipated to occur more quickly in 3D in vitro models than 2D in vitro environments and in vivo animal models, neither of which accurately mimic natural human tumor environments [2]. Moreover, these 3D models can be multi-cellular and designed with extracellular matrix (ECM) function and mechanical properties similar to that of natural in vivo cancer environments [3].

scholarly journals Coherent Raman Scattering Microscopy in Oncology Pharmacokinetic Research

2021 ◽  
Vol 12 ◽  
Author(s):  
Junjie Zeng ◽  
Wenying Zhao ◽  
Shuhua Yue
Keyword(s):  
Raman Scattering ◽  
High Speed ◽  
Cancer Drug ◽  
Cancer Drugs ◽  
High Speed Imaging ◽  
Coherent Raman Scattering ◽  
Anti Cancer ◽  
Coherent Raman

The high attrition rates of anti-cancer drugs during clinical development remains a bottleneck problem in pharmaceutical industry. This is partially due to the lack of quantitative, selective, and rapid readouts of anti-cancer drug activity in situ with high resolution. Although fluorescence microscopy has been commonly used in oncology pharmacological research, fluorescent labels are often too large in size for small drug molecules, and thus may disturb the function or metabolism of these molecules. Such challenge can be overcome by coherent Raman scattering microscopy, which is capable of chemically selective, highly sensitive, high spatial resolution, and high-speed imaging, without the need of any labeling. Coherent Raman scattering microscopy has tremendously improved the understanding of pharmaceutical materials in the solid state, pharmacokinetics of anti-cancer drugs and nanocarriers in vitro and in vivo. This review focuses on the latest applications of coherent Raman scattering microscopy as a new emerging platform to facilitate oncology pharmacokinetic research.

scholarly journals New Anti-Cancer Strategy to Suppress Colorectal Cancer Growth Through Inhibition of ATG4B and Lysosome Function

Cancers ◽  
2020 ◽  
Vol 12 (6) ◽  
pp. 1523 ◽  
Author(s):  
Yuanyuan Fu ◽  
Qianqian Gu ◽  
Li Luo ◽  
Jiecheng Xu ◽  
Yuping Luo ◽  
...  
Keyword(s):  
Colorectal Cancer ◽  
Cancer Therapy ◽  
Therapeutic Strategy ◽  
Screening Method ◽  
Cancer Drug ◽  
Autophagic Flux ◽  
Single Target ◽  
Anti Cancer

Autophagy inhibition has been proposed to be a potential therapeutic strategy for cancer, however, few autophagy inhibitors have been developed. Recent studies have indicated that lysosome and autophagy related 4B cysteine peptidase (ATG4B) are two promising targets in autophagy for cancer therapy. Although some inhibitors of either lysosome or ATG4B were reported, there are limitations in the use of these single target compounds. Considering multi-functional drugs have advantages, such as high efficacy and low toxicity, we first screened and validated a batch of compounds designed and synthesized in our laboratory by combining the screening method of ATG4B inhibitors and the identification method of lysosome inhibitors. ATG4B activity was effectively inhibited in vitro. Moreover, 163N inhibited autophagic flux and caused the accumulation of autolysosomes. Further studies demonstrated that 163N could not affect the autophagosome-lysosome fusion but could cause lysosome dysfunction. In addition, 163N diminished tumor cell viability and impaired the development of colorectal cancer in vivo. The current study findings indicate that the dual effect inhibitor 163N offers an attractive new anti-cancer drug and compounds having a combination of lysosome inhibition and ATG4B inhibition are a promising therapeutic strategy for colorectal cancer therapy.

scholarly journals An in vivo large-scale chemical screening platform using Drosophila for anti-cancer drug discovery

2012 ◽  
Vol 6 (2) ◽  
pp. 521-529 ◽  
Author(s):  
L. F. Willoughby ◽  
T. Schlosser ◽  
S. A. Manning ◽  
J. P. Parisot ◽  
I. P. Street ◽  
...  
Keyword(s):  
Drug Discovery ◽  
Large Scale ◽  
Cancer Drug ◽  
Chemical Screening ◽  
Cancer Drug Discovery ◽  
Anti Cancer ◽  
Screening Platform

scholarly journals Validation of a novel perfusion bioreactor system in cancer research

2020 ◽  
Vol 74 (3) ◽  
pp. 187-196
Author(s):  
Jasmina Stojkovska ◽  
Jovana Zvicer ◽  
Milena Milivojevic ◽  
Isidora Petrovic ◽  
Milena Stevanovic ◽  
...  
Keyword(s):  
Cancer Research ◽  
Drug Screening ◽  
Cancer Drug ◽  
Perfusion Bioreactor ◽  
Animal Testing ◽  
Anti Cancer ◽  
Medium Flow ◽  
Bioreactor System

Development of drugs is a complex, time- and cost-consuming process due to the lack of standardized and reliable characterization techniques and models. Traditionally, drug screening is based on in vitro analysis using two-dimensional (2D) cell cultures followed by in vivo animal testing. Unfortunately, application of the obtained results to humans in about 90 % of cases fails. Therefore, it is important to develop and improve cell-based systems that can mimic the in vivo-like conditions to provide more reliable results. In this paper, we present development and validation of a novel, user-friendly perfusion bioreactor system for single use aimed for cancer research, drug screening, anti-cancer drug response studies, biomaterial characterization, and tissue engineering. Simple design of the perfusion bioreactor provides direct medium flow at physiological velocities (100?250 ?m s-1) through samples of different sizes and shapes. Biocompatibility of the bioreactor was confirmed in short term cultivation studies of cervical carcinoma SiHa cells immobilized in alginate microfibers under continuous medium flow. The results have shown preserved cell viability indicating that the perfusion bioreactor in conjunction with alginate hydrogels as cell carriers could be potentially used as a tool for controlled anti-cancer drug screening in a 3D environment.

Reversine: A Synthetic Purine with a Dual Activity as a Cell Dedifferentiating Agent and a Selective Anticancer Drug

2020 ◽  
Vol 27 (21) ◽  
pp. 3448-3462
Author(s):  
Marco Piccoli ◽  
Andrea Ghiroldi ◽  
Michelle M. Monasky ◽  
Federica Cirillo ◽  
Giuseppe Ciconte ◽  
...  
Keyword(s):  
Stem Cells ◽  
Current Knowledge ◽  
Embryonic Stem ◽  
Cell Types ◽  
Cancer Drug ◽  
Anti Cancer ◽  
Adult Cell ◽  
Induced Pluripotent

The development of new therapeutic applications for adult and embryonic stem cells has dominated regenerative medicine and tissue engineering for several decades. However, since 2006, induced Pluripotent Stem Cells (iPSCs) have taken center stage in the field, as they promised to overcome several limitations of the other stem cell types. Nonetheless, other promising approaches for adult cell reprogramming have been attempted over the years, even before the generation of iPSCs. In particular, two years before the discovery of iPSCs, the possibility of synthesizing libraries of large organic compounds, as well as the development of high-throughput screenings to quickly test their biological activity, enabled the identification of a 2,6-disubstituted purine, named reversine, which was shown to be able to reprogram adult cells to a progenitor-like state. Since its discovery, the effect of reversine has been confirmed on different cell types, and several studies on its mechanism of action have revealed its central role in inhibitory activity on several kinases implicated in cell cycle regulation and cytokinesis. These key features, together with its chemical nature, suggested a possible use of the molecule as an anti-cancer drug. Remarkably, reversine exhibited potent cytotoxic activity against several tumor cell lines in vitro and a significant effect in decreasing tumor progression and metastatization in vivo. Thus, 15 years since its discovery, this review aims at critically summarizing the current knowledge to clarify the dual role of reversine as a dedifferentiating agent and anti-cancer drug.

Cellular Senescence-Inducing Small Molecules for Cancer Treatment

2019 ◽  
Vol 19 (2) ◽  
pp. 109-119 ◽  
Author(s):  
Peng Liu ◽  
Ziwen Lu ◽  
Yanfang Wu ◽  
Dongsheng Shang ◽  
Zhicong Zhao ◽  
...  
Keyword(s):  
Cellular Senescence ◽  
Drug Induced ◽  
Replication Process ◽  
Microtubule Polymerization ◽  
Response To Chemotherapy ◽  
Anti Cancer ◽  
Secretory Phenotype ◽  
Novel Therapeutic Strategies

Recently, the chemotherapeutic drug-induced cellular senescence has been considered a promising anti-cancer approach. The drug-induced senescence, which shows both similar and different hallmarks from replicative and oncogene-induced senescence, was regarded as a key determinant of tumor response to chemotherapy in vitro and in vivo. To date, an amount of effective chemotherapeutic drugs that can evoke senescence in cancer cells have been reported. The targets of these drugs differ substantially, including senescence signaling pathways, DNA replication process, DNA damage pathways, epigenetic modifications, microtubule polymerization, senescence-associated secretory phenotype (SASP), and so on. By summarizing senescence-inducing small molecule drugs together with their specific traits and corresponding mechanisms, this review is devoted to inform scientists to develop novel therapeutic strategies against cancer through inducing senescence.

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