Combination effect of tamoxifen and ascorbic acid treatment on breast cancer cells (MCF-7) and cervical cancer cells (HeLa)

Breast cancer and cervical cancer are among the leading causes of death among women in the world. Even though chemotherapy is available as cancer treatment, the development of drug resistance in both cancer cells has reduced the efficacy of chemotherapeutic drugs in such treatment. The current study was aimed to evaluate the cell viability of human breast cancer cells, MCF-7, and cervical cancer cells, HeLa upon the combination treatment of ascorbic acid and tamoxifen. The cell viability was measured using the MTT assay, with an incubation period of 72 hours in a humidified CO2 incubator. The concentrations of tamoxifen and ascorbic acid that reduced 50% of the cell population (IC50) were determined from the dose-response curve. The IC50 concentration was used to determine the cell viability in the treated cells. CompuSyn software was used to evaluate the combined effects towards both cells upon treatment and the results were calculated as combination index (CI). The data were analyzed using GraphPad Prism (version 7). Statistical analysis was performed using an independent t-test. The IC50 values of tamoxifen and ascorbic acid on MCF-7 cells were 14.53 μg/ml and 15.8 μg/ml respectively, while the IC50 values of tamoxifen and ascorbic acid on HeLa cells were 11.09 μg/ml and 202.3 μg/ml respectively. The combination of tamoxifen and ascorbic acid exerted a greater growth reduction percentage in both cells compared to tamoxifen alone. The results indicated that ascorbic acid synergizes the cytotoxic effect of tamoxifen at lower concentrations towards MCF-7 cells with a CI less than 1. However, the combination of tamoxifen and ascorbic acid exerted an antagonistic effect in HeLa cells, with a CI more than 1

The development and validation of a scoring tool to predict the operative duration of elective laparoscopic cholecystectomy

Background: The ability to accurately predict operative duration has the potential to optimise theatre efficiency and utilisation, thus reducing costs and increasing staff and patient satisfaction. With laparoscopic cholecystectomy being one of the most commonly performed procedures worldwide, a tool to predict operative duration could be extremely beneficial to healthcare organisations. Methods: Data collected from the CholeS study on patients undergoing cholecystectomy in UK and Irish hospitals between 04/2014 and 05/2014 were used to study operative duration. A multivariable binary logistic regression model was produced in order to identify significant independent predictors of long (> 90 min) operations. The resulting model was converted to a risk score, which was subsequently validated on second cohort of patients using ROC curves. Results: After exclusions, data were available for 7227 patients in the derivation (CholeS) cohort. The median operative duration was 60 min (interquartile range 45–85), with 17.7% of operations lasting longer than 90 min. Ten factors were found to be significant independent predictors of operative durations > 90 min, including ASA, age, previous surgical admissions, BMI, gallbladder wall thickness and CBD diameter. A risk score was then produced from these factors, and applied to a cohort of 2405 patients from a tertiary centre for external validation. This returned an area under the ROC curve of 0.708 (SE = 0.013, p  90 min increasing more than eightfold from 5.1 to 41.8% in the extremes of the score. Conclusion: The scoring tool produced in this study was found to be significantly predictive of long operative durations on validation in an external cohort. As such, the tool may have the potential to enable organisations to better organise theatre lists and deliver greater efficiencies in care

SARS-CoV-2 vaccination modelling for safe surgery to save lives: data from an international prospective cohort study

Background: Preoperative SARS-CoV-2 vaccination could support safer elective surgery. Vaccine numbers are limited so this study aimed to inform their prioritization by modelling. Methods: The primary outcome was the number needed to vaccinate (NNV) to prevent one COVID-19-related death in 1 year. NNVs were based on postoperative SARS-CoV-2 rates and mortality in an international cohort study (surgical patients), and community SARS-CoV-2 incidence and case fatality data (general population). NNV estimates were stratified by age (18-49, 50-69, 70 or more years) and type of surgery. Best- and worst-case scenarios were used to describe uncertainty. Results: NNVs were more favourable in surgical patients than the general population. The most favourable NNVs were in patients aged 70 years or more needing cancer surgery (351; best case 196, worst case 816) or non-cancer surgery (733; best case 407, worst case 1664). Both exceeded the NNV in the general population (1840; best case 1196, worst case 3066). NNVs for surgical patients remained favourable at a range of SARS-CoV-2 incidence rates in sensitivity analysis modelling. Globally, prioritizing preoperative vaccination of patients needing elective surgery ahead of the general population could prevent an additional 58 687 (best case 115 007, worst case 20 177) COVID-19-related deaths in 1 year. Conclusion: As global roll out of SARS-CoV-2 vaccination proceeds, patients needing elective surgery should be prioritized ahead of the general population