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Throughout the female menstrual cycle, physiological changes occur that affect the biodistribution of nanoparticles within the reproductive system. We demonstrate a 2-fold increase in nanoparticle accumulation in murine ovaries and uterus during ovulation, compared to the non-ovulatory stage, following intravenous administration. This biodistribution pattern had positive or negative effects when drug loaded nanoparticles, sized 100-nm or smaller, were used to treat different cancers. For example, treating ovarian cancer with nanomedicines during mouse ovulation resulted in higher drug accumulation in the ovaries, improving therapeutic efficacy. Conversely, treating breast cancer during ovulation, led to reduced therapeutic efficacy, due to enhanced nanoparticle accumulation in the reproductive system rather than at the tumor site. Moreover, chemotherapeutic nanoparticles administered during ovulation increased ovarian toxicity and decreased fertility compared to the free drug. The menstrual cycle should be accounted for when designing and implementing nanomedicines for females.

Description, Targeting neurons in breast cancer with anesthetic nanoparticles inhibits nerve-cancer stimulation and tumor progression., Neurons within the tumor microenvironment promote cancer progression; thus, their local targeting has potential clinical benefits. We designed PEGylated lipid nanoparticles loaded with a non-opioid analgesic, bupivacaine, to target neurons within breast cancer tumors and suppress nerve-to-cancer cross-talk. In vitro, 100-nm nanoparticles were taken up readily by primary neurons, trafficking from the neuronal body and along the axons. We demonstrate that signaling between triple-negative breast cancer cells (4T1) and neurons involves secretion of cytokines stimulating neurite outgrowth. Reciprocally, neurons stimulated 4T1 proliferation, migration, and survival through secretion of neurotransmitters. Bupivacaine curbs neurite growth and signaling with cancer cells, inhibiting cancer cell viability. In vivo, bupivacaine-loaded nanoparticles intravenously administered suppressed neurons in orthotopic triple-negative breast cancer tumors, inhibiting tumor growth and metastatic dissemination. Overall, our findings suggest that reducing nerve involvement in tumors is important for treating cancer.

Neurons within the tumor microenvironment promote cancer progression, thus their local targeting has potential clinical benefits. We designed PEGylated lipid nanoparticles loaded with a non-opioid analgesic, bupivacaine, to target neurons within breast cancer tumors and suppress nerve-to-cancer crosstalk. In vitro, 100-nm nanoparticles were taken up readily by primary neurons, trafficking from the neuronal body and along the axons. We demonstrate that signaling between triple-negative breast cancer cells (4T1) and neurons involves secretion of cytokines stimulating neurite outgrowth. Reciprocally, neurons stimulated 4T1 proliferation, migration and survival through secretion of neurotransmitters. Bupivacaine curbs neurite growth and signaling with cancer cells, inhibiting cancer-cell viability. In vivo, bupivacaine-loaded nanoparticles administered intravenously, suppressed neurons in orthotopic triple-negative breast cancer tumors, inhibiting tumor growth and metastatic dissemination. Overall, our findings suggest that reducing nerve involvement in tumors is important for treating cancer.

This chapter explores tumoral barriers for the successful implementation of nanomedicines. Nanotechnologies hold great clinical promise to improve the efficacy of diagnostic and therapeutic anticancer agents. In cancer therapy, many nanotechnologies target solid tumors through the leaky tumor vasculature and/or using surface ligands with molecular specificity to biomarkers in the tumor tissue. Traditional approaches of loading nanoparticles solely with drugs aimed at killing the cancer cells are being replaced by multiple agents for targeting the various components of the tumor microenvironment. The demand for nutrients and oxygen by a developing tumor is accommodated by angiogenesis— the formation of new blood vessels. The extracellular matrix (ECM) is a woven net between tissues and organs composed of water, minerals, proteins, proteoglycans and glycoproteins such as collagen, fibronectin, hyaluronic acid, and many others. The dynamic nature of the ECM is particularly apparent during development, wound healing, cancer and other diseases.

Throughout the female menstrual cycle, physiological changes occur that affect the biodistribution of nanoparticles within the reproductive system. This can have positive or negative effects. We demonstrate a 2-fold increase in nanoparticle accumulation in the ovaries during female mouse ovulation compared to the non-ovulatory stage following intravenous administration. Accumulation in the reproductive system is favored by nanoparticles smaller than 100 nm. Chemotherapeutic nanoparticles administered during ovulation increased ovarian toxicity and decreased short-term and long-term fertility when compared to the free drug. Breast cancer treated with nanomedicines during ovulation results in higher drug accumulation in the reproductive system rather than at the site of the tumor, reducing treatment efficacy. Conversely, ovarian cancer treatment was improved by enhanced nanoparticle accumulation in the ovaries during ovulation. Our findings suggest that the menstrual cycle should be considered when designing and implementing nanotherapeutics for females.

Overexpressed extracellular matrix (ECM) in pancreatic ductal adenocarcinoma (PDAC) limits drug penetration into the tumor and is associated with poor prognosis. Here, we demonstrate that a pretreatment based on a proteolytic-enzyme nanoparticle system disassembles the dense PDAC collagen stroma and increases drug penetration into the pancreatic tumor. More specifically, the collagozome, a 100 nm liposome encapsulating collagenase, was rationally designed to protect the collagenase from premature deactivation and prolonged its release rate at the target site. Collagen is the main component of the PDAC stroma, reaching 12.8 ± 2.3% vol in diseased mice pancreases, compared to 1.4 ± 0.4% in healthy mice. Upon intravenous injection of the collagozome, ∼1% of the injected dose reached the pancreas over 8 h, reducing the level of fibrotic tissue to 5.6 ± 0.8%. The collagozome pretreatment allowed increased drug penetration into the pancreas and improved PDAC treatment. PDAC tumors, pretreated with the collagozome followed by paclitaxel micelles, were 87% smaller than tumors pretreated with empty liposomes followed by paclitaxel micelles. Interestingly, degrading the ECM did not increase the number of circulating tumor cells or metastasis. This strategy holds promise for degrading the extracellular stroma in other diseases as well, such as liver fibrosis, enhancing tissue permeability before drug administration.

Artificial Intelligence and Nanotechnology are two fields that have been instrumental in realizing the goal of Precision Medicine – tailoring the best treatment for each cancer patient. Recent conversion between these two fields is enabling better patient data acquisition and improved design of nano-materials for precision cancer medicine. Diagnostic nanomaterials are used to assemble a patient-specific disease profile, which is then leveraged, through a set of therapeutic nanotechnologies, to improve the treatment outcome. However, high intra-tumor and inter-patient heterogeneities make the rational design of diagnostic and therapeutic platforms, and analysis of their output, extremely difficult. Integration of AI approaches can bridge this gap, using pattern analysis and classification algorithms for improved diagnostic and therapeutic accuracy. Nanomedicine design also benefits from the application of AI, by optimizing material properties according to predicted interactions with the target drug, biological fluids, immune system, vasculature and cell membranes, all affecting therapeutic efficacy. Here, fundamental concepts in AI are described and the contributions and promise of nanotechnology coupled with AI to the future of precision cancer medicine is reviewed.

Polylactic acid (PLA) is the most commonly used biodegradable polymer in clinical applications today. Examples range from drug delivery systems, tissue engineering, temporary and long-term implantable devices; constantly expanding to new fields. This is owed greatly to the polymer’s favorable biocompatibility and to its safe degradation products. Once coming in contact with biological media, the polymer begins breaking down, usually by hydrolysis, into lactic acid (LA) or to carbon dioxide and water. These products are metabolized intracellularly or excreted in the urine and breath. Bacterial infection and foreign-body inflammation enhance the breakdown of PLA, through the secretion of enzymes that degrade the polymeric matrix. The biodegradation occurs both on the surface of the polymeric device and inside the polymer body, by diffusion of water between the polymer chains. The median half-life of the polymer is 30 weeks; however, this can be lengthened or shortened to address the clinical needs. Degradation kinetics can be tuned by determining the molecular composition and the physical architecture of the device. For example, using L- or D-chirality of the LA will greatly lengthen or shorten the degradation rates, respectively. Despite the fact that this polymer is more than 150 years old, PLA remains a fertile platform for biomedical innovation and fundamental understanding of how artificial polymers can safely coexist with biological systems.