Patients' knowledge and perceived understanding – Associations with consenting to participate in cancer clinical trials

AbstractRecruitment to clinical trials is essential. The aims of the study were to investigate associations between patients' informed consent to participate in a cancer clinical trial and knowledge and perceived understanding of the trial. Furthermore, associations between demographic factors and consent to participate and knowledge and perceived understanding of information about the trial were studied.MethodsThe patients were recruited in connection to a visit at the oncology clinic for information about a drug trial. The Quality of Informed Consent questionnaire was mailed to the patients after they had decided about participation in the trial. The associations of demographic factors and “knowledge” and “perceived understanding” were analysed using linear regression models.ResultsA total of 125 patients were included. Higher levels of “knowledge” and “understanding” were found to be associated with consent to participate in a clinical trial, both in the univariate and multivariate analyses (p = 0.001). None of the tested demographic factors were related to consent to participate. No statistically significant associations between any of the demographic factors and knowledge or perceived understanding scores were found.ConclusionThe results indicate that interventions that increase patients' knowledge and perceived understanding might improve participation rates in clinical trials

Tumor Infiltrating CD8+ and Foxp3+ Lymphocytes Correlate to Clinical Outcome and Human Papillomavirus (HPV) Status in Tonsillar Cancer

BACKGROUND: Human papillomavirus (HPV) is a causative factor for tonsillar squamous cell carcinoma (TSCC) and patients with HPV positive (HPV(+)) TSCC have a better clinical outcome than those with HPV negative (HPV(-)) TSCC. However, since not all patients with HPV(+) TSCC respond to treatment, additional biomarkers are needed together with HPV status to better predict response to therapy and to individualize treatment. For this purpose, we examined whether the number of tumor infiltrating cytotoxic and regulatory T-cells in TSCC correlated to HPV status and to clinical outcome. METHODS: Formalin fixed paraffin embedded TSCC, previously analysed for HPV DNA, derived from 83 patients, were divided into four groups depending on the HPV status of the tumor and clinical outcome. Tumors were stained by immunohistochemistry and evaluated for the number of infiltrating cytotoxic (CD8(+)) and regulatory (Foxp3(+)) T-cells. RESULTS: A high CD8(+) T-cell infiltration was significantly positively correlated to a good clinical outcome in both patients with HPV(+) and HPV(-) TSCC patients. Similarly, a high CD8(+)/Foxp3(+) TIL ratio was correlated to a 3-year disease free survival. Furthermore, HPV(+) TSCC had in comparison to HPV(-) TSCC, higher numbers of infiltrating CD8(+) and Foxp3(+) T-cells. CONCLUSIONS: In conclusion, a positive correlation between a high number of infiltrating CD8(+) cells and clinical outcome indicates that CD8(+) cells may contribute to a beneficial clinical outcome in TSCC patients, and may potentially serve as a biomarker. Likewise, the CD8(+)/Foxp3(+)cell ratio can potentially be used for the same purpose

Associations between Reoperations and Psychological Factors after Contralateral Risk-Reducing Mastectomy: A Two-Year Follow-Up Study

Introduction. The aim of the study was to investigate associations between reoperations after contralateral risk-reducing mastectomies (CRRM) and emotional problems, body image, sexuality, and health related quality of life (HRQoL) in women with breast cancer and hereditary high risk. Patients and Methods. Patients scheduled for CRRM with breast reconstruction between 1998 and 2010 completed questionnaires, comprised of SF-36, the Hospital Anxiety and Depression Scale, the Body Image Scale, and the Sexual Activity Questionnaire, preoperatively and two years after CRRM. Data on reoperations was collected from medical charts. Results. A total of 80 women participated, with a response rate of 61 (76%) preoperatively and 57 (71%) at the two-year followup. At the two-year assessment, 44 (55%) patients had undergone ≥1 reoperation (reoperation group), whereas 36 (45%) had not (no reoperation group). No statistically significant differences between the groups were found for HRQoL, sexuality, anxiety, or depression. A higher proportion of patients in the "reoperation group" reported being dissatisfied with their bodies (81% versus 48%, = 0.01). Conclusion. The results suggest associations between reoperation following CRRM with breast reconstruction and body image problems. Special attention should be paid to body image problems among women who are subject to reoperations after CRRM

Evaluation of the BOADICEA risk assessment model in women with a family history of breast cancer

The ability of the Breast and Ovarian Analysis of Disease Incidence and Carrier Estimation Algorithm (BOADICEA) model to predict BRCA1 and BRCA2 mutations and breast cancer incidence in women with a family history of breast cancer was evaluated. Observed mutations in 263 screened families were compared to retrospective predictions. Similarly, observed breast cancers in 640 women were compared to retrospective predictions of breast cancer incidence. The ratios of observed to expected number of BRCA1- , BRCA2- and BRCA(1 or 2) mutations were 1.43 (95% CI 1.05–1.90), 0.63 (95% CI 0.34–1.08), and 1.12 (95% CI 0.86–1.44), showing a significant underestimation of BRCA1 mutations. Discrimination between carriers and non-carriers as measured by area under the receiver operating characteristic (ROC) curve was 0.83 (95% CI 0.76–0.88). The ratio of observed to expected number of invasive breast cancers was 1.41 (0.91–2.08). The corresponding area under the ROC curve for prediction of invasive breast cancer at individual level was 0.62 (95% CI 0.52–0.73). In conclusion, the BOADICEA model can predict the total prevalence of BRCA(1 or 2) mutations and the incidence of invasive breast cancers. The mutation probability as generated by BOADICEA can be used clinically as a guideline for screening, and thus decrease the proportion of negative mutation analyses. Likewise, individual breast cancer risks can be used for selecting women whose risk of breast cancer indicates follow-up. Application of local mutation frequencies of BRCA1 and BRCA2 could improve the ability to distinguish between the two genes