Extracellular vesicles (EVs) are membrane-enclosed particles that have attracted much attention for their potential in disease diagnosis and therapy. However, the clinical translation is limited by the dosing consistency due to their heterogeneity. Among various characterization techniques, nanoparticle tracking analysis (NTA) offers distinct benefits for EV characterization. In this review, we will discuss the NTA technique with a focus on factors affecting the results; then, we will review the two modes of the NTA techniques along with suitable applications in specific areas of EV studies. EVs are typically characterized by their size, size distribution, concentration, protein markers, and RNA cargos. The light-scattering mode of NTA offers accurate size, size distribution, and concentration information in solution, which is useful for comparing EV isolation methods, storage conditions, and EV secretion conditions. In contrast, fluorescent mode of NTA allows differentiating EV subgroups based on specific markers. The success of fluorescence NTA heavily relies on fluorescent tags (e.g., types of dyes and labeling methods). When EVs are labeled with disease-specific markers, fluorescence NTA offers an effective tool for disease detection in biological fluids, such as saliva, blood, and serum. Finally, we will discuss the limitations and future directions of the NTA technique in EV characterization.

Histology is an important predictor of the behavior of breast cancer. We aim to study the impact of histology on the overall survival (OS) of breast cancer patients. We studied 11,085 breast cancer patients diagnosed with T1–T2 tumors, clinically node-negative and non-metastatic, from 2004 to 2019 included in the National Cancer Database. Kaplan–Meier curves, log-rank tests and Cox regression models were used to study the impact of histology and other variables on OS. In our patient population, 8678 (78.28%) had ductal cancer (IDC), while 2407 (21.71%) had lobular cancer (ILC). ILC patients were significantly more likely to be older, Caucasian, have a lower grade at diagnosis and be hormone receptor-positive compared to IDC patients. There was no statistically significant difference in the 5-year OS of early stage ductal (16.8%) and lobular cancer patients (16.7%) (p = 0.200). Patients of Hispanic and African American origin had worse OS rates compared to non-Hispanic and Caucasian patients, respectively. For node-positive disease, HER2+ tumors and triple-negative tumors, chemotherapy had a positive influence on OS (HR 0.85, 95% CI 0.77–0.93, p = 0.0012). Histology did not have a significant impact on the 5-year OS of early stage breast cancer patients.

Background/Aim: The purpose of this study was to determine socioeconomic and demographic factors which may contribute to inequities in time to treat thyroid cancer. Patients and Methods: We used data from the National Cancer Database, 2004-2019, to conduct an analysis of thyroid cancer patients. All (434,083) patients with thyroid cancer, including papillary (395,598), follicular (23,494), medullary (7,638), and anaplastic (7,353) types were included. We compared the wait time from diagnosis to first treatment, surgery, radiotherapy, and chemotherapy for patients based on age, race, sex, location, and socioeconomic status (SES). Results: A total of 434,083 patients with thyroid cancer were included. Hispanic patients had significantly longer wait times to all treatments compared to non-Hispanic patients (first treatment 33.44 vs. 20.45 days, surgery 40.06 vs. 26.49 days, radiotherapy 114.68 vs. 96.42 days, chemotherapy 92.70 vs. 58.71 days). Uninsured patients, patients at academic facilities, and patients in metropolitan areas also had the longest wait times to treatment. Conclusion: This study identified multiple disparities related to SES and demographics that correspond to delays in time to treatment. It is crucial that this topic is investigated further to help mitigate these incongruities in thyroid cancer care in the future.

Emerging evidence has suggested that high fructose intake, particularly from added sugars and processed foods, is associated with increased cancer risk and progression. The fructose intake is believed to be mediated by the abnormal expression of glucose transporter 5 (GLUT5), the specific fructose transporter in cancer cells. The GLUT5-regulated fructose metabolism has shown to greatly affect cancer progression, metastasis, and drug resistance. This review aims to synchronize the current knowledge to highlight the underlying mechanisms of those impacts and understand the therapeutic potential of GULT5. First, we review the fructose metabolism and its alteration in cancer cells by comparing with glucose metabolism. Subsequently, the key contributors or biological pathways involved in GLUT5-asosociated tumor growth, cancer metastasis, and drug resistance are discussed. The contributions of specific pathways, metabolites, and key enzymes from the fructose metabolism process are also covered, such as enhanced glycolysis for tumor growth, epithelial-mesenchymal transition and angiogenesis for cancer metastasis, and efflux pump expression and activation of survival pathways for cancer drug resistance. The detailed analysis of these mechanisms will allow further understanding of the therapeutic potential of GLUT 5-mediated fructose metabolism in cancer therapy. In particular, targeting GLUT 5 and its-associated processes in fructose metabolism may offer promising strategies for improving cancer treatment outcomes through dietary interventions, specific GLUT5 inhibitors, or in combination.