A tumor-activatable peptide supramolecular nanoplatform for the delivery of dual-gene targeted siRNAs for drug-resistant cancer treatment

Nanoscale ◽  
2021 ◽  
Author(s):  
Yahui Wu ◽  
Dan Zhong ◽  
Yunkun Li ◽  
Huayu Wu ◽  
Hu Zhang ◽  
...  
Keyword(s):  
Cancer Treatment ◽  
Therapeutic Approach ◽  
Genetic Mutation ◽  
Drug Resistant ◽  
Multiple Genes ◽  
Interference Rna

Combinatorial short interference RNA (siRNA) technology for the silencing of multiple genes is expected to provide an effective therapeutic approach for cancer with complex genetic mutation and dysregulation.

A tailored therapeutic approach for patients affected by multi-drug resistant psoriasis

2020 ◽  
Vol 155 (4) ◽  
Author(s):  
Nicoletta Bernardini ◽  
Nevena Skroza ◽  
Alessandra Mambrin ◽  
Ersilia Tolino ◽  
Alessia Anzalone ◽  
...  
Keyword(s):  
Therapeutic Approach ◽  
Drug Resistant

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.

scholarly journals Advanced pancreatic cancer: The standard of care and new opportunities

2018 ◽  
Author(s):  
Amrallah A. Mohammad
Keyword(s):  
Pancreatic Cancer ◽  
Mortality Rate ◽  
Cancer Treatment ◽  
Molecular Analysis ◽  
Therapeutic Approach ◽  
Locally Advanced ◽  
Advanced Pancreatic Cancer ◽  
Standard Of Care

Presentation of pancreatic cancer is localized, locally advanced or metastatic. With the later represented the main bulk (more than 80%). Despite the significant innovation in molecular analysis and therapeutic approach in many types of cancer in the last two decades, still the outcome of advanced pancreatic cancer is disappointing and the mortality rate approximately unchanged. In this mandated review we intended to highlight the standard of care and emerging agents for advanced pancreatic cancer treatment.

scholarly journals Design, eco-friendly synthesis, molecular modeling and anticancer evaluation of thiazol-5(4H)-ones as potential tubulin polymerization inhibitors targeting the colchicine binding site

RSC Advances ◽  
2020 ◽  
Vol 10 (5) ◽  
pp. 2791-2811 ◽  
Author(s):  
Abeer M. El-Naggar ◽  
Ibrahim H. Eissa ◽  
Amany Belal ◽  
Amira A. El-Sayed
Keyword(s):  
Molecular Modeling ◽  
Cancer Treatment ◽  
Binding Site ◽  
Therapeutic Approach ◽  
Tubulin Polymerization ◽  
Colchicine Binding Site ◽  
Tubulin Polymerization Inhibitors

In recent years, suppressing tubulin polymerization has been developed as a therapeutic approach for cancer treatment.

Gene editing particle system as a therapeutic approach for drug-resistant colorectal cancer

Nano Research ◽  
2020 ◽  
Vol 13 (6) ◽  
pp. 1576-1585
Author(s):  
Jee-Yeon Ryu ◽  
You Jung Choi ◽  
Eun-Jeong Won ◽  
Emmanuel Hui ◽  
Ho-Shik Kim ◽  
...  
Keyword(s):  
Colorectal Cancer ◽  
Therapeutic Approach ◽  
Gene Editing ◽  
Particle System ◽  
Drug Resistant

PREVALANCE OF GENETIC MUTATION ASSOSIATED WITH (RPOB) RIFAMPICIN RESISTANT AMONG THE TREATED TUBERCULOSIS PATIENTS

2020 ◽  
Vol 11 (12) ◽  
pp. 235-268
Author(s):  
Girija Vasudevan ◽  
Muthuraj M ◽  
Antony V samrot
Keyword(s):  
Drug Susceptibility ◽  
Genetic Mutation ◽  
Drug Susceptibility Testing ◽  
Nucleic Acid Amplification ◽  
Drug Resistant ◽  
Tuberculosis Patients ◽  
Resistant Tuberculosis ◽  
Resource Limited ◽  
Probe Assay ◽  
Solid Liquid

Tuberculosis (TB) is an infectious disease caused predominantly by Mycobacterium tuberculosis. India accounts for one fourth of the global TB burden. Drug-resistant tuberculosis (TB) undermines control efforts and its burden is poorly understood in resource-limited settings. Drug resistant TB is a laboratory based diagnosis and is performed either by phenotypic drug susceptibility testing using solid/liquid culture or genotypic testing for detection of resistance by Line Probe Assay/Cartridge based Nucleic Acid Amplification tests.

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