Current Update on Nanotechnology-Based Approaches in Ovarian Cancer Therapy.
Boddapati Kalyani BhardwajSanu ThankachanPriyanila MageshThejaswini VenkateshRie TsutsumiPadmanaban S SureshPublished in: Reproductive sciences (Thousand Oaks, Calif.) (2022)
Ovarian cancer is one of the leading causes of cancer-related deaths among women. The drawbacks of conventional therapeutic strategies encourage researchers to look for alternative strategies, including nanotechnology. Nanotechnology is one of the upcoming domains of science that is rechanneled towards targeted cancer therapy and diagnosis. Nanocarriers such as dendrimers, liposomes, polymer micelles, and polymer nanoparticles present distinct surface characteristics in morphology, surface chemistry, and mode of action that help differentiate normal and malignant cells, which paves the way for target-specific drug delivery. Similarly, nanoparticles have been strategically utilized as efficacious vehicles to deliver drugs that alter the epigenetic modifications in epigenetic therapy. Some studies suggest that the use of specialized target-modified nanoparticles in siRNA-based nanotherapy prevents internalization and improves the antitumor activity of siRNA by ensuring unrestrained entry of siRNA into the tumor vasculature and efficient intracellular delivery of siRNA. Moreover, research findings highlight the significance of utilizing nanoparticles as depots for photosensitive drugs in photodynamic therapy. The applicability of nanoparticles is further extended to medical imaging. They serve as contrast agents in combination with conventional imaging modalities such as MRI, CT, and fluorescence-based imaging to produce vivid and enhanced images of tumors. Therefore, this review aims to explore and delve deeper into the advent of various nanotechnology-based therapeutic and imaging techniques that provide non-invasive and effective means to tackle ovarian cancers.
Keyphrases
- cancer therapy
- drug delivery
- high resolution
- photodynamic therapy
- drug release
- contrast enhanced
- magnetic resonance imaging
- gene expression
- healthcare
- type diabetes
- palliative care
- computed tomography
- induced apoptosis
- magnetic resonance
- fluorescence imaging
- deep learning
- polycystic ovary syndrome
- single molecule
- skeletal muscle
- pregnant women
- cell proliferation
- optical coherence tomography
- hyaluronic acid
- metabolic syndrome
- convolutional neural network