Lipid-based nanoparticle-mediated combination therapy for breast cancer management: a comprehensive review

Gupta, Priya; Neupane, Yub Raj; Aqil, Mohd.; Kohli, Kanchan; Sultana, Yasmin

doi:10.1007/s13346-023-01366-z

Cited by 5 publications

(3 citation statements)

References 176 publications

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“…Quercetin together with carboxyamidotriazole can block the signal transduction pathway by inhibiting phosphatidylinositol (PI) and phosphatidylinositol phosphate (PIP) activities [ 8 ]. In addition, Gupta et al [ 84 ] constructed an encapsulation vector of quercetin and vincristine, demonstrating that this system can improve the action time of the two drugs and effectively enhance the anticancer effect. A large number of experimental results have shown that quercetin has a synergistic effect in the treatment of breast cancer [ 85 ].…”

Section: Quercetin Particularitiesmentioning

confidence: 99%

Quercetin, a Flavonoid with Great Pharmacological Capacity

Carrillo-Martinez,

Flores-Hernández,

Salazar-Montes

et al. 2024

Molecules

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Quercetin is a flavonoid with a low molecular weight that belongs to the human diet’s phenolic phytochemicals and nonenergy constituents. Quercetin has a potent antioxidant capacity, being able to capture reactive oxygen species (ROS), reactive nitrogen species (RNS), and reactive chlorine species (ROC), which act as reducing agents by chelating transition-metal ions. Its structure has five functional hydroxyl groups, which work as electron donors and are responsible for capturing free radicals. In addition to its antioxidant capacity, different pharmacological properties of quercetin have been described, such as carcinostatic properties; antiviral, antihypertensive, and anti-inflammatory properties; the ability to protect low-density lipoprotein (LDL) oxidation, and the ability to inhibit angiogenesis; these are developed in this review.

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Section: Quercetin Particularitiesmentioning

confidence: 99%

Quercetin, a Flavonoid with Great Pharmacological Capacity

Carrillo-Martinez,

Flores-Hernández,

Salazar-Montes

et al. 2024

Molecules

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“…As briefly discussed in the introduction, combinational therapy has considerable potential for extremely effective cancer treatment owing to its unparalleled effectiveness in creating synergistic effects and conquering MDR. 104 Chen et al (2017) developed a multi-organelle-targeting sequential drug delivery system called “DGLipo NPs”. This system effectively treated MDR in cancer as well as monitored Cyt- C release during apoptosis.…”

Section: Transforming Mitochondrial Targeting: Nanoparticles As Key A...mentioning

confidence: 99%

Circumventing challenges in mitochondrial targeting for cancer treatment: leveraging nanoplatforms for effective solutions

Pandya,

Singh,

Desimone

et al. 2024

Mater. Adv.

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“…Quercetin, together with carboxyamidotriazole, can block the signal transduction pathway by inhibiting Phosphatidylinositol (PI) and Phosphatidylinositol Phosphate (PIP) activi-ties [8]. In addition, Gupta et al [84] constructed an encapsulation vector of Quercetin and vincristine, demonstrating that this system can improve the action time of the two drugs and effectively enhance the anti-cancer effect. A large number of experi-mental results have shown that Quercetin has a synergistic effect in the treatment of breast cancer [85].…”

Section: Cancermentioning

confidence: 99%

Design and Parameterization of a Computational Model Based on Convolutional Neural Networks for Mango Selection

Salazar-Campos,

Ruiz

et al. 2024

Preprint

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In recent times, using image-based deep learning techniques has been very useful for classifying fruits. However, mango is a particular challenge because its shelf life is directly related to the degree of maturity at the time of harvest, which is determined mainly through the visual assessment of the operators when sorting them, doing it incorrectly, coupled with the blows and compressions exposed during storage and transport, trigger the deterioration in their quality, hence the importance of this operation. In this sense, the purpose of this study focuses on designing a computational model based on Deep Learning that uses a convolutional neural network (CNN) parameterized to select mangoes according to their color tone based on their maturity stage. A dataset was established from 201 labeled images, then a CNN architecture was built, obtaining a model on which 3 criteria were evaluated: the number of convolution and grouping layers, the resolution of the input images and the number of training epochs required. As a result, an input image resolution of 32 x 32 pixels was achieved, the process included a convolution layer followed by pooling that fed another layer that processed the results and ended in an output layer with 2 neurons under the One Hot Encoding representation. The model required 20 epochs to perfect its training, achieving 96.04 % accuracy in mango image selection. This study supports the potential of CNNs in quality analysis through mango color selection, even in uncertainty scenarios.

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Lipid-based nanoparticle-mediated combination therapy for breast cancer management: a comprehensive review

Cited by 5 publications

References 176 publications

Quercetin, a Flavonoid with Great Pharmacological Capacity

Quercetin, a Flavonoid with Great Pharmacological Capacity

Circumventing challenges in mitochondrial targeting for cancer treatment: leveraging nanoplatforms for effective solutions

Design and Parameterization of a Computational Model Based on Convolutional Neural Networks for Mango Selection

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