Lipolysis-stimulated lipoprotein receptor, a component of the paracellular barrier at tricellular junctions, is necessary for proper blood–brain barrier sealing during embryogenesis.

No abstract

Modulating the surface properties of nanoparticles (NPs) is an important approach to accomplish immune escape, prolonged the blood retention time, and enhance the ability of targeted drug delivery. The camouflage of cancer cell membrane onto nanoparticles has been proved to be an ideal approach to enhance active targeting ability of NPs. Herein, we isolated the membrane of melanoma cells to coat doxorubicin (DOX) and indocyanine green (ICG)-loaded hollow copper sulfide NPs (ID-HCuSNP@B16F10) for targeted photothermal therapy, photoacoustic imaging, and chemotherapy. A remarkable in vitro anticancer effect after irradiation and homologous targeting can be observed in B16F10 cells after the treatment of ID-HCuSNP@ B16F10. Moreover, ID-HCuSNP@B16F10 exhibits excellent photothermal effect in melanoma animal models and achieves a high tumor ablation rate. This biomimetic system can realize high drug loading efficiency, enhanced targeting ability, and ideal antitumor efficiency.

Background: Liquid biopsy provides real-time data about prognosis and actionable mutations in metastatic breast cancer (MBC). The aim of this study was to explore the combination of circulating tumour DNA (ctDNA) analysis and circulating tumour cells (CTCs) enumeration in estimating target organs more susceptible to MBC involvement. Methods: This retrospective study analysed 88 MBC patients characterised for both CTCs and ctDNA at baseline. CTCs were isolated through the CellSearch kit, while ctDNA was analysed using the Guardant360 NGS-based assay. Sites of disease were collected on the basis of imaging. Associations were explored both through uni-and multivariate logistic regression and Fisher's exact test and the random forest machine learning algorithm. Results: After multivariate logistic regression, ESR1 mutation was the only significant factor associated with liver metastases (OR 8.10), while PIK3CA was associated with lung localisations (OR 3.74). CTC enumeration was independently associated with bone metastases (OR 10.41) and TP53 was associated with lymph node localisations (OR 2.98). The metastatic behaviour was further investigated through a random forest machine learning algorithm. Bone