Nanomedicines (NMs) offer new solutions for cancer diagnosis and therapy. However, extension of progression-free interval and overall survival time achieved by Food and Drug Administrationapproved NMs remain modest. To develop next generation NMs to achieve superior anticancer activities, it is crucial to investigate and understand the correlation between the physicochemical properties of NMs (particle size in particular) and their interactions with biological systems to establish criteria for NM optimization. Here, we systematically evaluated the size-dependent biological profiles of three monodisperse drug-silica nanoconjugates (NCs; 20, 50, and 200 nm) through both experiments and mathematical modeling and aimed to identify the optimal size for the most effective anticancer drug delivery. Among the three NCs investigated, the 50-nm NC shows the highest tumor tissue retention integrated over time, which is the collective outcome of deep tumor tissue penetration and efficient cancer cell internalization as well as slow tumor clearance, and thus, the highest efficacy against both primary and metastatic tumors in vivo.O ver the last two to three decades, consensus has been reached that the size of anticancer nanomedicines (NMs) plays a pivotal role in determining their biodistribution, tumor penetration, cellular internalization, and clearance from blood plasma and tissues as well as excretion from body, and thus, it has significant impact on overall therapeutic efficacy against cancers (1-7). Although most clinically approved anticancer NMs have size ranging from 100 to 200 nm (8, 9), recent studies showed that anticancer NMs with smaller sizes exhibited enhanced performance in vivo, such as greater tissue penetration and enhanced tumor inhibition, particularly those with size around or smaller than 50 nm (5-7, 10-12). As such, there has been a major push recently in the field of anticancer NM to miniaturize nanoparticle (NP) size using novel chemistry and engineering design (13-17). One unanswered question, however, is whether additional miniaturization of NM size would be necessary and result in additional improved anticancer efficacy. Widely evaluated small molecular therapeutics (<1,500 Da and <2 nm) can traverse most tumor tissues freely (18). However, they diffuse away from tumor tissues rapidly and get cleared primarily into tumor blood capillaries, leading to minimal tumor accumulation (18). Macromolecules of relatively low molecular masses (<40,000 Da and <10 nm) were also shown to have low overall tumor retention because of both rapid permeation into and clearance from tumor tissues, behaving to some extent like small molecule drugs (18,19). In conjunction with the renal clearance threshold (<10-15 nm) (20, 21) and interstitial/lymphatic fenestration (<20 nm) (22) for NPs, it becomes essential to carefully and comprehensively evaluate the in vivo behavior and anticancer efficacy of NMs in the size range of 20-50 nm to determine the optimal size of NM for cancer therapy.In this study, we used monodisper...

Distinguishing cancer cells from normal cells through surface receptors is vital for cancer diagnosis and targeted therapy. Metabolic glycoengineering of unnatural sugars provides a powerful tool to manually introduce chemical receptors onto the cell surface; however, cancer-selective labeling still remains a great challenge. Herein we report the design of sugars that can selectively label cancer cells both in vitro and in vivo. Specifically, we inhibit the cell-labeling activity of tetraacetyl-N-azidoacetylmannosamine (Ac4ManAz) by converting its anomeric acetyl group to a caged ether bond that can be selectively cleaved by cancer-overexpressed enzymes and thus enables the overexpression of azido groups on the surface of cancer cells. Histone deacetylase and cathepsin L-responsive acetylated azidomannosamine, one such enzymatically activatable Ac4ManAz analog developed, mediated cancer-selective labeling in vivo, which enhanced tumor accumulation of a dibenzocyclooctyne–doxorubicin conjugate via click chemistry and enabled targeted therapy against LS174T colon cancer, MDA-MB-231 triple-negative breast cancer and 4T1 metastatic breast cancer in mice.

Convenient, repeatable, large-scale molecular testing for SARS-CoV-2 would be a key weapon to help control the COVID-19 pandemic. Unfortunately, standard SARS-CoV-2 testing protocols are invasive and rely on numerous items that can be subject to supply chain bottlenecks, and as such are not suitable for frequent repeat testing. Specifically, personal protective equipment (PPE), nasopharyngeal (NP) swabs, the associated viral transport media (VTM), and kits for RNA isolation and purification have all been in short supply at various times during the COVID-19 pandemic. Moreover, SARS-CoV-2 is spread through droplets and aerosols transmitted through person-to-person contact, and thus saliva may be a relevant medium for diagnosing SARS-CoV-2 infection status. Here we describe a saliva-based testing method that bypasses the need for RNA isolation/purification. In experiments with inactivated SARS-CoV-2 virus spiked into saliva, this method has a limit of detection of 500-1000 viral particles per mL, rivalling the standard NP swab method, and initial studies also show excellent performance with 100 clinical samples. This saliva-based process is operationally simple, utilizes readily available materials, and can be easily implemented by existing testing sites, thus allowing for high-throughput, rapid, and repeat testing of large populations. Graphical Abstract3 BackgroundThe slow roll-out and inconsistent availability of diagnostic testing for SARS-CoV-2 has hobbled efforts to control the COVID-19 pandemic in many countries. Testing protocols based on the use of nasopharyngeal (NP) swabs as the collection agent, placed in a tube containing viral transport media (VTM), followed by RNA isolation/purification and subsequent analysis by RT-qPCR is currently the most common method ( Figure 1A). 1,2 While some variant of this process has been implemented worldwide, there are multiple challenges with this workflow. Sample collection using NP swabs requires healthcare workers wearing personal protective equipment (PPE) to collect samples, the swabs can be uncomfortable for the patients during collection, and the swabs and the associated VTM have been in short supply at many times and in most locations. In addition, RNA isolation/purification is another significant bottleneck, both in the time and labor required for this process, and in the availability of the equipment and reagents. All of these components also add to the cost of the testing process.There is emerging consensus that widespread, frequently repeated testing is necessary for a safer return to activities that are important for society. Given the data suggesting that SARS-CoV-2 can be spread by pre-symptomatic/asymptomatic carriers, 3-6 localized outbreaks could be dramatically reduced or prevented if individuals shedding SARS-CoV-2 could be readily identified and isolated. For example, imagine a testing bubble placed over a group that desires face-to-face interaction -employees of a company, members of a sports team, extended family networks, etc. If all members of...

Within the heterogeneous architecture of tumour tissue there exists an elusive population of stem-like cells that are implicated in both recurrence and metastasis. Here, by using engineered extracellular matrices, we show that geometric features at the perimeter of tumour tissue will prime a population of cells with a stem-cell-like phenotype. These cells show characteristics of cancer stem cells in vitro, as well as enhanced tumorigenicity in murine models of primary tumour growth and pulmonary metastases. We also show that interfacial geometry modulates cell shape, adhesion through integrin α5β1, MAPK and STAT activity, and initiation of pluripotency signalling. Our results for several human cancer cell lines suggest that interfacial geometry triggers a general mechanism for the regulation of cancer-cell state. Similar to how a growing tumour can co-opt normal soluble signalling pathways, our findings demonstrate how cancer can also exploit geometry to orchestrate oncogenesis.

Drug-containing nanoparticles (NPs) with monodisperse, controlled particle sizes are highly desirable for drug delivery. Accumulating evidence suggests that NPs with sizes less than 50 nm demonstrate superior performance in vitro and in vivo. However, it is difficult to fabricate monodisperse, drug-containing NPs with discrete and incremental difference in sizes required for studying and characterizing existing relationships among particle size, biologic processing, and therapeutic functionality. Here, we report a scalable process of fabricating drug-silica conjugated nanoparticles, termed drug-silica nanoconjugates (drug-NCs), which possess monodisperse size distributions and desirable particle sizes as small as 20 nm. We found that 20-nm NCs are superior to their 50-nm and 200-nm NC analogues by 2–5 and 10–20 folds, respectively, with regard to tumor accumulation and penetration, and cellular internalization. These fundamental findings underscore the importance and necessity of further miniaturizing nanomedicine size for optimized drug delivery applications.