Introduction We aimed to measure the acceptability towards the COVID-19 vaccination in cancer patients and to investigate determinant factors associated with the patient's choice. Methods We conducted a cross-sectional survey with a self-administered questionnaire delivered to 329 cancer patients in 3 oncology cancer centers in Tunisia between February-May 2021. Logistic regression was used to evaluate odds ratio predicting patient's intentions toward the vaccine. Results Acceptance rate was 50.5%, 28.3% (n = 93) reported to definitely refuse the vaccine and 21.2% (n = 70) did not make their decision yet. High educational level, history of comorbidities, history of influenza vaccination in the current season, and patient's opinion about the severity of COVID-19 did not predict vaccine resistance. However, patients who think that the vaccine may interfere with treatment efficacy (OR = 7.28, 95%CI [2.5-12.32]), or may impact cancer outcome (OR = 6.14, 95%CI [2.27-16.7]), were significantly more likely to refuse the vaccine. Patients who disagree that the vaccine is a major weapon against the pandemic (OR = 6.07, 95%CI [2.34-9.52]) or that it could reduce the virus transmission (OR = 7.34,) were also significantly more likely to reject the vaccination. Safety concerns were also significant predictive factors (OR = 7.9, . Confidence level in the authorities played a significant role in patient's acceptance of the vaccine, indeed patients who are not registered (OR = 5.9, or not informed about the Tunisian national vaccination platform EVAX (OR = 5.51, 95%CI [2.1-7.9]) were more likely to be against the vaccine. Conclusion Cancer patient's education about the impact of the vaccine on their disease and on the COVID-19 is needed. Governments should build strategies to gain more population confidence.

BackgroundA family history of breast cancer has long been thought to indicate the presence of inherited genetic events that predispose to this disease. In North Africa, many specific epidemio-genetic characteristics have been observed in breast cancer families when compared to Western populations. Despite these specificities, the majority of breast cancer genetics studies performed in North Africa remain restricted to the investigation of the BRCA1 and BRCA2 genes. Thus, comprehensive data at a whole exome or whole genome level from local patients are lacking.MethodsA whole exome sequencing (WES) of seven breast cancer Tunisian families have been performed using a family-based approach. We focused our analysis on BC-TN-F001 family that included two affected members that have been sequenced using WES. Relevant variants identified in BC-TN-F001 have been confirmed using Sanger sequencing. Then, we conducted an integrative analysis by combining our results with those from other WES studies in order to figure out the genetic transmission model of the newly identified genes. Biological network construction and protein–protein interactions analyses have been performed to decipher the molecular mechanisms likely accounting for the role of these genes in breast cancer risk.ResultsSequencing, filtering strategies, and validation analysis have been achieved. For BC-TN-F001, no deleterious mutations have been identified on known breast cancer genes. However, 373 heterozygous, exonic and rare variants have been identified on other candidate genes. After applying several filters, 12 relevant high-risk variants have been selected. Our results showed that these variants seem to be inherited in a family specific model. This hypothesis has been confirmed following a thorough analysis of the reported WES studies. Enriched biological process and protein–protein interaction networks resulted in the identification of four novel breast cancer candidate genes namely MMS19, DNAH3, POLK and KATB6.ConclusionsIn this first WES application on Tunisian breast cancer patients, we highlighted the impact of next generation sequencing technologies in the identification of novel breast cancer candidate genes which may bring new insights into the biological mechanisms of breast carcinogenesis. Our findings showed that the breast cancer predisposition in non-BRCA families may be ethnic and/or family specific.Electronic supplementary materialThe online version of this article (10.1186/s12967-018-1504-9) contains supplementary material, which is available to authorized users.

Background: Deleterious mutations on BRCA1/2 genes are known to confer high risk of developing breast and ovarian cancers. The identification of these mutations not only helped in selecting high risk individuals that need appropriate prevention approaches but also led to the development of the PARP-inhibitors targeted therapy. This study aims to assess the prevalence of the most frequent BRCA1 mutation in Tunisia, c.211dupA, and provide evidence of its common origin as well as its clinicopathological characteristics. We also aimed to identify additional actionable variants using classical and next generation sequencing technologies (NGS) which would allow to implement cost-effective genetic testing in limited resource countries. Patients and Methods: Using sanger sequencing, 112 breast cancer families were screened for c.211dupA. A set of patients that do not carry this mutation were investigated using NGS. Haplotype analysis was performed to assess the founder effect and to estimate the age of this mutation. Correlations between genetic and clinical data were also performed. Results: The c.211dupA mutation was identified in 8 carriers and a novel private BRCA1 mutation, c.2418dupA, was identified in one carrier. Both mutations are likely specific to NorthEastern Tunisia. Haplotype analysis supported the founder effect of c.211dupA and showed its recent origin. Phenotype-genotype correlation showed that both BRCA1 mutations seem to be associated with a severe phenotype. Whole Exome Sequencing (WES) analysis of a BRCA negative family revealed a Variant of Unknown Significance, c.3647C > G on RAD50. Molecular modeling showed that this variant could be classified as deleterious as it is responsible for destabilizing the RAD50 protein structure. Variant prioritization and pathway analysis of the WES data showed additional interesting candidate genes including MITF and ANKS6.