COVID-19 Vaccinations: Summary Guidance for Cancer Patients in 28 Languages: Breaking Barriers to Cancer Patient Information

BACKGROUND

Covid-19 vaccination has started in the majority of the countries at the global level. Cancer patients are at high risk for infection, serious illness, and death from COVID-19 and need vaccination guidance and support. Guidance availability in the English language only is a major limit for recommendations' delivery and their application in the world's population and generates information inequalities across the different populations.

METHODS

Most of the available COVID-19 vaccination guidance for cancer patients was screened and scrutinized by the European Cancer Patients Coalition (ECPC) and an international oncology panel of 52 physicians from 33 countries.

RESULTS

A summary guidance was developed and provided in 28 languages in order to reach more than 70 percent of the global population.

CONCLUSION

Language barrier and e-guidance availability in the native language are the most important barriers when communicating with patients. E-guidance availability in various native languages should be considered a major priority by international medical and health organizations that are communicating with patients at the global level.

Association of –607 C/A Polymorphism of IL-18 Gene (rs1946518) with Breast Cancer Risk in Zahedan, Southeast Iran

It is known that interleukin-18 (IL-18) is a proinflammatory cytokine with dual effects on tumor development and progression. It can increase the immune defense against tumor cells. Polymorphisms in the IL-18 genes are known to influence both expression levels and may be associated with outcome of cancers. This study was aimed to find out the possible association of IL-18 polymorphism at position –607 C/A (rs1946518) with breast cancer in a sample of Iranian population. We investigated IL-18 rs1946518 polymorphism on 72 breast cancer patients and 93 cancer free women. Genotyping was done using amplification refractory mutation system-PCR (ARMS-PCR). We found no significant differences between breast cancer patients and control subjects regarding IL-18 rs1946518 polymorphism (χ2=1.78, p=0.411). In conclusion, our finding showed that IL-18 rs1946518 polymorphism was not associated with breast cancer in a sample of Iranian population.

Prediction of Survival in Thyroid Cancer Using Data Mining Technique

Cancer is the second leading cause of death after cardiovascular diseases in the world. Health professionals are seeking ways for suitable treatment and quality of care in these groups of patients. Survival prediction is important for both physicians and patients in order to choose the best way of management. Artificial Neural Network (ANN) is one of the most efficient data mining methods. This technique is able to evaluate the relationship between different variables spontaneously without any prevalent data. In our study ANN and Logistic Regression were used to predict survival in thyroid cancer and compare these results. SEER (Surveillance, Epidemiology and End Result) data were got from SEER site1. Effective features in thyroid cancer have been selected based on supervision by radiation oncologists and evidence. After data pruning 7706 samples were studied with 16 attributes. Multi Layer Prediction (MLP) was used as the chosen neural network and survival was predicted for 1-, 3- and 5-years. Accuracy, sensitivity and specificity were parameters to evaluate the model. The results of MLP and Logistic Regression models for one year are defined as for 1-year (92.9%, 92.8, 93%), (81.2%, 88.9%, 72.5%), for 3-year as (85.1%, 87.8%, 82.8%), (88.6%, 90.2%, 87.2%) and for 5-year as (86.8%, 96%, 74.3%), (90.7%, 95.9%, 83.7) respectively. According to our results ANN could efficiently represent a suitable method of survival prediction in thyroid cancer patients and the results were comparable with statistical models.