Technological advances in the use of viral and non-viral vectors for delivering genetic and non-genetic cargos for cancer therapy.

The burden of cancer is increasing globally. Several challenges facing its mainstream treatment approaches have formed the basis for the development of targeted delivery systems to carry and distribute anti-cancer payloads to their defined targets. This site-specific delivery of drug molecules and gene payloads to selectively target druggable biomarkers aimed at inducing cell death while sparing normal cells is the principal goal for cancer therapy. An important advantage of a delivery vector either viral or non-viral is the cumulative ability to penetrate the haphazardly arranged and immunosuppressive tumour microenvironment of solid tumours and or withstand antibody-mediated immune response. Biotechnological approaches incorporating rational protein engineering for the development of targeted delivery systems which may serve as vehicles for packaging and distribution of anti-cancer agents to selectively target and kill cancer cells are highly desired. Over the years, these chemically and genetically modified delivery systems have aimed at distribution and selective accumulation of drug molecules at receptor sites resulting in constant maintenance of high drug bioavailability for effective anti-tumour activity. In this review, we highlighted the state-of-the art viral and non-viral drug and gene delivery systems and those under developments focusing on cancer therapy.

Classification of Obesity among South African Female Adolescents: Comparative Analysis of Logistic Regression and Random Forest Algorithms.

BACKGROUND: This study evaluates the performance of logistic regression (LR) and random forest (RF) algorithms to model obesity among female adolescents in South Africa. METHODS: Data was analysed on 375 females aged 15-17 from the South African National Health and Nutrition Examination Survey 2011/2012. The primary outcome was obesity, defined as body mass index (BMI) ≥ 30 kg/m2. A total of 31 explanatory variables were included, ranging from socio-economic, demographic, family history, dietary and health behaviour. RF and LR models were run using imbalanced data as well as after oversampling, undersampling, and hybrid sampling of the data. RESULTS: Using the imbalanced data, the RF model performed better with higher precision, recall, F1 score, and balanced accuracy. Balanced accuracy was highest with the hybrid data (0.618 for RF and 0.668 for LR). Using the hybrid balanced data, the RF model performed better (F1-score = 0.940 for RF vs. 0.798 for LR). CONCLUSION: The model with the highest overall performance metrics was the RF model both before balancing the data and after applying hybrid balancing. Future work would benefit from using larger datasets on adolescent female obesity to assess the robustness of the models.

Identification of Palliative Care Needs in Cancer Patients in a Surgical Emergency Center.

BACKGROUND: Advanced cancer is associated with a significant symptom burden, and timely identification of palliative care (PC) needs, and provision of appropriate PC can improve treatment outcomes, reduce healthcare cost, and enhance patient and family satisfaction with care. Several tools have been used to identify PC needs in different clinical settings and patient groups. OBJECTIVE: The primary objective was to determine the prevalence and associated characteristics of PC needs among cancer patients admitted to the surgical emergency center (SEC) of a large academic hospital in South Africa (SA). The association between PC needs and early death were explored as a secondary outcome. DESIGN: This was a cross-sectional observational study that included all patients with known malignancy admitted through the SEC for acute surgical emergencies. The validated Supportive and Palliative Care Indicators Tool (SPICT™) was applied to patients' files on admission to the SEC. In addition, attending physicians were asked to estimate the 1 year survival probability of these patients by answering The Surprise Question (SQ). SETTING: A tertiary level, public, academic hospital in Cape Town, SA. RESULTS: One hundred and twelve admissions were included with a median age of 58 years. Fifty-two admissions (46.4%) were for metastatic patients and 60.7% were known with palliative treatment intent. The prevalence of SPICT- and SQ-defined PC needs was 46.4% and 54.7% respectively. Pain was the most prevalent presenting symptom and bowel obstruction the most prevalent presenting diagnosis. SPICT-positivity was a significant predictor of death before discharge and death within 6 months of first admission. Proportional agreement in predicting for PC needs of greater than 70% was shown between the two tools. CONCLUSION: Patients with PC needs comprise a significant proportion of SEC cancer admissions. This study shows the clear need for investment in staff and infrastructure to provide integrated palliative and end-of-life care as part of surgical services. The SPICTTM and SQ were shown to predict for early death in this cohort. Further validation of PC needs assessment tools is needed to guide the cost-effective implementation of PC services in low resource settings.

Anaemia in Children and Adolescents: A Bibliometric Analysis of BRICS Countries (1990-2020).

BACKGROUND/OBJECTIVES: Brazil, Russia, India China and South Africa have prioritized cooperation regarding health, including malnutrition. Anaemia in children, adolescents and women of reproductive age has been on the increase in these countries, placing a huge strain on healthcare systems. This study aimed to map the scientific perspective and research publications on anaemia in children and adolescents in the BRICS countries. METHODS: Bibliometric analyses were employed to map scientific publications related to anaemia in children and adolescents in BRICS countries using VOSviewer software. Research documents from 1990 to 2020 were imported from PubMed. Descriptive statistics was used to analyse trends in research publications, authorship and keywords over the 30-year period. FINDINGS: BRICS countries accounted for 15% of all publications on the subject within the last three decades. While India had the highest number of publications, China had the author with the highest number of research publications and co-authorship links. Of all article types, India had the highest number of letters, while China and South Africa published the highest number of RCT/clinical trial and review articles, respectively. CONCLUSION: The review of all scientific studies on anaemia in BRICS nations for the past 30 years revealed gaps in research collaborations on anaemia between authors in BRICS nations. However, collaborative research projects may contribute to building a shared base of evidence, innovations, data and methodologies for a more comprehensive understanding of the risks and vulnerabilities of child and adolescent anaemia. This will aid in the development and evaluation of interventions and policies to alleviate anaemia and nutrient deficiencies.