Methods and resources to access mutation-dependent effects on cancer drug treatment

2019 ◽  
Vol 21 (6) ◽  
pp. 1886-1903
Author(s):  
Hongcheng Yao ◽  
Qian Liang ◽  
Xinyi Qian ◽  
Junwen Wang ◽  
Pak Chung Sham ◽  
...  
Keyword(s):  
Cancer Treatment ◽  
Anticancer Agents ◽  
Clinical Studies ◽  
Computational Models ◽  
Cancer Drug ◽  
Next Generation Sequencing Technology ◽  
Model Studies ◽  
Molecular Features ◽  
Drug Sensitivity Prediction ◽  
Cancer Drug Treatment

Abstract In clinical cancer treatment, genomic alterations would often affect the response of patients to anticancer drugs. Studies have shown that molecular features of tumors could be biomarkers predictive of sensitivity or resistance to anticancer agents, but the identification of actionable mutations are often constrained by the incomplete understanding of cancer genomes. Recent progresses of next-generation sequencing technology greatly facilitate the extensive molecular characterization of tumors and promote precision medicine in cancers. More and more clinical studies, cancer cell lines studies, CRISPR screening studies as well as patient-derived model studies were performed to identify potential actionable mutations predictive of drug response, which provide rich resources of molecularly and pharmacologically profiled cancer samples at different levels. Such abundance of data also enables the development of various computational models and algorithms to solve the problem of drug sensitivity prediction, biomarker identification and in silico drug prioritization by the integration of multiomics data. Here, we review the recent development of methods and resources that identifies mutation-dependent effects for cancer treatment in clinical studies, functional genomics studies and computational studies and discuss the remaining gaps and future directions in this area.

Reposition of the Fungicide Ciclopirox for Cancer Treatment

2021 ◽  
Vol 16 ◽  
Author(s):  
Zhu Huang ◽  
Shile Huang
Keyword(s):  
Cancer Treatment ◽  
Anticancer Activity ◽  
Anticancer Agents ◽  
Clinical Studies ◽  
Water Solubility ◽  
Iron Chelation ◽  
Mechanisms Of Action ◽  
Migration And Invasion ◽  
Preclinical And Clinical Studies ◽  
Multiple Signaling

Background: : Ciclopirox (CPX), a broad-spectrum fungicide, has been widely used to treat fungal infection on the skin and nails for decades. Recent preclinical and clinical studies have shown that CPX also possesses promising anticancer activity. Objective: To summarize the patents, the pharmacological and toxicological properties, the anticancer activity, and the mechanisms of action of CPX and its derivatives as anticancer agents. Methods: We searched PubMed and Google using the keywords “ciclopirox”, “cancer or tumor” and “patent”, and reviewed the literature identified. Results: Pharmacological and toxicological profiles from preclinical and clinical studies support that systemic administration of CPX and its derivatives is feasible and safe for cancer treatment. CPX exerts its anticancer activity by inhibiting cell proliferation, inducing apoptosis, suppressing cell migration and invasion, and inhibiting angiogenesis and lymphangiogenesis. Mechanistically, CPX impacts the expression or activities of multiple signaling molecules or pathways, such as ribonucleotide reductase, Myc, DJ-1, Wnt/β-catenin, DOHH/eIF5A/PEAK1, VEGFR-3/ERK1/2, ATR/Chk1/Cdc25A, and AMPK/TSC/mTORC1. Most of these effects are attributed to iron chelation by CPX. Five patents have been retrieved: four patents on the development of CPX prodrugs to improve the water solubility and bioavailability of CPX, and one patent on the methods of bladder cancer treatment with CPX, CPX-O, or a CPX prodrug. Conclusion: CPX has a great potential to be repositioned for cancer therapy.

Diverse thiophenes as scaffolds in anti-cancer drug development: A concise review

2020 ◽  
Vol 20 ◽  
Author(s):  
Neha V. Bhilare ◽  
Pratibha B. Auti ◽  
Vinayak S. Marulkar ◽  
Vilas J. Pise
Keyword(s):  
Drug Development ◽  
Anticancer Agents ◽  
Heterocyclic Ring ◽  
Biologically Active Compounds ◽  
Biologically Active ◽  
Cancer Drug ◽  
Active Compounds ◽  
Natural Origin ◽  
Concise Review ◽  
Anti Cancer

: Thiophenes are one among the abundantly found heterocyclic ring systems in many biologically active compounds. Moreover various substituted thiophenes exert numerous pharmacological actions on account of their isosteric resemblance with compounds of natural origin thus rendering them with diverse actions like antibacterial, antifungal, antiviral, anti-inflammatory, analgesic, antiallergic, hypotensives etc.. In this review we specifically explore the chemotherapeutic potential of variety of structures consisting of thiophene scaffolds as prospective anticancer agents.

Resveratrol as an Adjuvant for Normal Tissues Protection and Tumor Sensitization

2020 ◽  
Vol 20 (2) ◽  
pp. 130-145 ◽  
Author(s):  
Keywan Mortezaee ◽  
Masoud Najafi ◽  
Bagher Farhood ◽  
Amirhossein Ahmadi ◽  
Dheyauldeen Shabeeb ◽  
...  
Keyword(s):  
Targeted Therapy ◽  
Cancer Treatment ◽  
Cancer Cells ◽  
Clinical Studies ◽  
Normal Tissue ◽  
Medical Science ◽  
Treatment Modalities ◽  
Radiation Toxicity ◽  
Normal Tissues ◽  
Normal Tissue Toxicity

Cancer is one of the most complicated diseases in present-day medical science. Yearly, several studies suggest various strategies for preventing carcinogenesis. Furthermore, experiments for the treatment of cancer with low side effects are ongoing. Chemotherapy, targeted therapy, radiotherapy and immunotherapy are the most common non-invasive strategies for cancer treatment. One of the most challenging issues encountered with these modalities is low effectiveness, as well as normal tissue toxicity for chemo-radiation therapy. The use of some agents as adjuvants has been suggested to improve tumor responses and also alleviate normal tissue toxicity. Resveratrol, a natural flavonoid, has attracted a lot of attention for the management of both tumor and normal tissue responses to various modalities of cancer therapy. As an antioxidant and anti-inflammatory agent, in vitro and in vivo studies show that it is able to mitigate chemo-radiation toxicity in normal tissues. However, clinical studies to confirm the usage of resveratrol as a chemo-radioprotector are lacking. In addition, it can sensitize various types of cancer cells to both chemotherapy drugs and radiation. In recent years, some clinical studies suggested that resveratrol may have an effect on inducing cancer cell killing. Yet, clinical translation of resveratrol has not yielded desirable results for the combination of resveratrol with radiotherapy, targeted therapy or immunotherapy. In this paper, we review the potential role of resveratrol for preserving normal tissues and sensitization of cancer cells in combination with different cancer treatment modalities.

Multi-Targeting Anticancer Agents: Rational Approaches, Synthetic Routes and Structure Activity Relationship

2019 ◽  
Vol 19 (7) ◽  
pp. 842-874 ◽  
Author(s):  
Harbinder Singh ◽  
Nihar Kinarivala ◽  
Sahil Sharma
Keyword(s):  
Anticancer Agents ◽  
Cancer Drug ◽  
Design And Synthesis ◽  
Cancer Drug Discovery ◽  
Dual Targeting ◽  
Structure Activity ◽  
Anti Cancer ◽  
Dual Inhibitors ◽  
Recent Trends ◽  
Synthetic Routes

We live in a world with complex diseases such as cancer which cannot be cured with one-compound one-target based therapeutic paradigm. This could be due to the involvement of multiple pathogenic mechanisms. One-compound-various-targets stratagem has become a prevailing research topic in anti-cancer drug discovery. The simultaneous interruption of two or more targets has improved the therapeutic efficacy as compared to the specific targeted based therapy. In this review, six types of dual targeting agents along with some interesting strategies used for their design and synthesis are discussed. Their pharmacology with various types of the molecular interactions within their specific targets has also been described. This assemblage will reveal the recent trends and insights in front of the scientific community working in dual inhibitors and help them in designing the next generation of multi-targeted anti-cancer agents.

Preliminary Pre-Clinical studies on the side effects of breast cancer treatment

2021 ◽  
pp. 1-41
Author(s):  
Camila Salata ◽  
Carlos E. deAlmeida ◽  
Samara C. Ferreira-Machado ◽  
Regina C. Barroso ◽  
Liebert P Nogueira ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Side Effects ◽  
Cancer Treatment ◽  
Clinical Studies ◽  
Breast Cancer Treatment

scholarly journals DRUG REPOSITION OF NON-CANCER DRUGS FOR CANCER TREATMENTS VIA PHARMACOVIGILANCE APPROACH - REPURPOSING DRUGS IN ONCOLOGY

2019 ◽  
pp. 310-314 ◽  
Author(s):  
Mrugank Bhaskarkumar Parmar ◽  
Shital Panchal
Keyword(s):  
Statistical Analysis ◽  
Cancer Treatment ◽  
Drug Repositioning ◽  
Adverse Event Reporting System ◽  
Adverse Event Reporting ◽  
Cancer Drug ◽  
Cancer Drugs ◽  
Management Activity ◽  
Post Marketing Surveillance ◽  
Source Data

This study for drug repositioning has been performed for the drugs which are in the market since more than a decade and they are approved with their well-established efficacy and safety in human being. Objective of this study was to reposition the existing non-cancer drug therapy for cancer treatment, which is having well characterized pharmacologic profile with more efficacy and least toxicity as anti-neoplastic agent. We have retrieved the source data from FDA Adverse Event Reporting System (FAERS) for the last 13 years covering duration from 2004 to 2016 and analysed those using pharmacovigilance approach ‘a proposed future novel pharmaceutical tool for drug reposition’. Signal management activity was performed for statistical analysis. Result of statistical analysis derived that propranolol; metformin; pioglitazone; dabigatran and nitroglycerin are the existing non-cancer drugs which deserved for their direct / indirect reposition for cancer treatment and anti-neoplastic activity. Further studies retrieving the source data from other regulatory database (e.g. Eudravigilance of EMA and VigiFlow of WHO) and post-marketing surveillance study with the same objective may adjuvant our results for the reposition of existing drugs by pharmacovigilance approach.

scholarly journals Immunocytes as a Biocarrier to Delivery Therapeutic and Imaging Contrast Agents to Tumors

2012 ◽  
Vol 2012 ◽  
pp. 1-8 ◽  
Author(s):  
Jinhyang Choi ◽  
Ha-Na Woo ◽  
Eun Jin Ju ◽  
Joohee Jung ◽  
Hye-Kyung Chung ◽  
...  
Keyword(s):  
Iron Oxide ◽  
Ionizing Radiation ◽  
Mouse Model ◽  
Cancer Treatment ◽  
Anticancer Agents ◽  
Anticancer Agent ◽  
Human Cancer ◽  
Genetic Alterations ◽  
Therapeutic Effects ◽  
Ionizing Radiation Exposure

Radiotherapy for cancer treatment has been used for primary or adjuvant treatment in many types of cancer, and approximately half of all cancer patients are undergoing radiation. However, ionizing radiation exposure induces genetic alterations in cancer cells and results in recruitment of monocytes/macrophages by triggering signals released from these cells. Using this characteristic of monocytes/macrophages, we have attempted to develop a biocarrier loading radiosensitizing anticancer agents that can lead to enhance the therapeutic effect of radiation in cancer treatment. The aim of this study is to demonstrate the proof of this concept. THP-1 labeled with Qdot 800 or iron oxide (IO) effectively migrated into tumors of subcutaneous mouse model and increased recruitment after ionizing radiation. Functionalized liposomes carrying a radiosensitizing anticancer agent, doxorubicin, are successfully loaded in THP-1 (THP-1-LP-Dox) with reduced cytotoxicity, and THP-1-LP-Dox also was observed in tumors after intravenous administration. Here, we report that monocytes/macrophages as a biocarrier can be used as a selective tool for amplification of the therapeutic effects on radiotherapy for human cancer treatment.

scholarly journals Advanced and Innovative Nano-Systems for Anticancer Targeted Drug Delivery

Pharmaceutics ◽  
2021 ◽  
Vol 13 (8) ◽  
pp. 1151
Author(s):  
Lu Tang ◽  
Jing Li ◽  
Qingqing Zhao ◽  
Ting Pan ◽  
Hui Zhong ◽  
...  
Keyword(s):  
Drug Delivery ◽  
Cancer Treatment ◽  
Small Molecule ◽  
Anticancer Agents ◽  
Targeted Drug Delivery ◽  
Treatment Modalities ◽  
Biological Macromolecules ◽  
Passive Targeting ◽  
Efficient Delivery ◽  
Targeted Drug

The encapsulation of therapeutic agents into nano-based drug delivery system for cancer treatment has received considerable attention in recent years. Advancements in nanotechnology provide an opportunity for efficient delivery of anticancer drugs. The unique properties of nanoparticles not only allow cancer-specific drug delivery by inherent passive targeting phenomena and adopting active targeting strategies, but also improve the pharmacokinetics and bioavailability of the loaded drugs, leading to enhanced therapeutic efficacy and safety compared to conventional treatment modalities. Small molecule drugs are the most widely used anticancer agents at present, while biological macromolecules, such as therapeutic antibodies, peptides and genes, have gained increasing attention. Therefore, this review focuses on the recent achievements of novel nano-encapsulation in targeted drug delivery. A comprehensive introduction of intelligent delivery strategies based on various nanocarriers to encapsulate small molecule chemotherapeutic drugs and biological macromolecule drugs in cancer treatment will also be highlighted.

scholarly journals The Role of the Hedgehog Pathway in Cholangiocarcinoma

Cancers ◽  
2021 ◽  
Vol 13 (19) ◽  
pp. 4774
Author(s):  
Giulia Anichini ◽  
Laura Carrassa ◽  
Barbara Stecca ◽  
Fabio Marra ◽  
Chiara Raggi
Keyword(s):  
Anticancer Agents ◽  
Cell Biology ◽  
Detailed Knowledge ◽  
Molecular Features ◽  
Cell Proliferation And Differentiation ◽  
Predominant Type ◽  
Proliferation And Differentiation ◽  
Cholangiocarcinoma Cell ◽  
Hh Signaling

Cholangiocarcinoma (CCA) is a poorly treatable type of cancer and, along with hepatocellular carcinoma (HCC), is the predominant type of primitive liver cancer in adults. The lack of understanding of CCA biology has slowed down the identification of novel targets and the development of effective treatments. While tumors share some general characteristics, detailed knowledge of specific features is essential for the development of effectively tailored therapeutic approaches. The Hedgehog (HH) signaling cascade regulates stemness biology, embryonal development, tissue homeostasis, and cell proliferation and differentiation. Its aberrant activation has been associated with a variety of solid and hematological human malignancies. Several HH-inhibiting compounds have been indeed developed as potential anticancer agents in different types of tumors, with Smoothened and GLI inhibitors showing the most promising results. Beside its well-established function in other tumors, findings regarding the HH signaling in CCA are still controversial. Here we will give an overview of the most important clinical and molecular features of cholangiocarcinoma, and we will discuss the available evidence of the crosstalk between the HH signaling pathway and the cholangiocarcinoma cell biology.

scholarly journals Omics and Computational Modeling Approaches for the Effective Treatment of Drug-Resistant Cancer Cells

2021 ◽  
Vol 12 ◽  
Author(s):  
Hae Deok Jung ◽  
Yoo Jin Sung ◽  
Hyun Uk Kim
Keyword(s):  
Machine Learning ◽  
Computational Modeling ◽  
Cancer Treatment ◽  
Effective Treatment ◽  
Cancer Cells ◽  
Computational Models ◽  
Omics Data ◽  
Drug Resistant ◽  
Learning Models ◽  
Machine Learning Models

Chemotherapy is a mainstream cancer treatment, but has a constant challenge of drug resistance, which consequently leads to poor prognosis in cancer treatment. For better understanding and effective treatment of drug-resistant cancer cells, omics approaches have been widely conducted in various forms. A notable use of omics data beyond routine data mining is to use them for computational modeling that allows generating useful predictions, such as drug responses and prognostic biomarkers. In particular, an increasing volume of omics data has facilitated the development of machine learning models. In this mini review, we highlight recent studies on the use of multi-omics data for studying drug-resistant cancer cells. We put a particular focus on studies that use computational models to characterize drug-resistant cancer cells, and to predict biomarkers and/or drug responses. Computational models covered in this mini review include network-based models, machine learning models and genome-scale metabolic models. We also provide perspectives on future research opportunities for combating drug-resistant cancer cells.

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