ObjectiveTo explore ongoing symptoms, unmet needs, psychological wellbeing, self-efficacy and overall health status in survivors of prostate cancer. Patients and MethodsAn invitation to participate in a postal questionnaire survey was sent to 546 men, diagnosed with prostate cancer 9-24 months previously at two UK cancer centres. The study group comprised men who had been subject to a range of treatments: surgery, radiotherapy, hormone therapy and active surveillance. The questionnaire included measures of prostate-related quality of life (Expanded Prostate cancer Index Composite 26-item version, EPIC-26); unmet needs (Supportive Care Needs Survey 34-item version, SCNS-SF34); anxiety and depression (Hospital Anxiety and Depression Scale, HADS), self-efficacy (modified Self-efficacy Scale), health status (EuroQol 5D, EQ-5D) and satisfaction with care (questions developed for this study). A single reminder was sent to non-responders after 3 weeks. Data were analysed by age, co-morbidities, and treatment group. ResultsIn all, 316 men completed questionnaires (64.1% response rate). Overall satisfaction with follow-up care was high, but was lower for psychosocial than physical aspects of care. Urinary, bowel, and sexual functioning was reported as a moderate/big problem in the last month for 15.2% (n = 48), 5.1% (n = 16), and 36.5% (n = 105) men, respectively. The most commonly reported moderate/high unmet needs related to changes in sexual feelings/ relationships, managing fear of recurrence/uncertainty, and concerns about the worries of significant others. It was found that 17% of men (51/307) reported potentially moderate-to-severe levels of anxiety and 10.2% (32/308) reported moderate-to-severe levels of depression. The presence of problematic side-effects was associated with higher psychological morbidity, poorer selfefficacy, greater unmet needs, and poorer overall health status. ConclusionWhile some men report relatively few problems after prostate cancer treatment, this study highlights important physical and psycho-social issues for a significant minority of survivors of prostate cancer. Strategies for identifying those men with ongoing problems, alongside new interventions and models of care, tailored to individual needs, are needed to improve quality of life.
BackgroundBOADICEA (Breast and Ovarian Analysis of Disease Incidence and Carrier Estimation Algorithm) for breast cancer and the epithelial tubo-ovarian cancer (EOC) models included in the CanRisk tool (www.canrisk.org) provide future cancer risks based on pathogenic variants in cancer-susceptibility genes, polygenic risk scores, breast density, questionnaire-based risk factors and family history. Here, we extend the models to include the effects of pathogenic variants in recently established breast cancer and EOC susceptibility genes, up-to-date age-specific pathology distributions and continuous risk factors.MethodsBOADICEA was extended to further incorporate the associations of pathogenic variants in BARD1, RAD51C and RAD51D with breast cancer risk. The EOC model was extended to include the association of PALB2 pathogenic variants with EOC risk. Age-specific distributions of oestrogen-receptor-negative and triple-negative breast cancer status for pathogenic variant carriers in these genes and CHEK2 and ATM were also incorporated. A novel method to include continuous risk factors was developed, exemplified by including adult height as continuous.ResultsBARD1, RAD51C and RAD51D explain 0.31% of the breast cancer polygenic variance. When incorporated into the multifactorial model, 34%–44% of these carriers would be reclassified to the near-population and 15%–22% to the high-risk categories based on the UK National Institute for Health and Care Excellence guidelines. Under the EOC multifactorial model, 62%, 35% and 3% of PALB2 carriers have lifetime EOC risks of <5%, 5%–10% and >10%, respectively. Including height as continuous, increased the breast cancer relative risk variance from 0.002 to 0.010.ConclusionsThese extensions will allow for better personalised risks for BARD1, RAD51C, RAD51D and PALB2 pathogenic variant carriers and more informed choices on screening, prevention, risk factor modification or other risk-reducing options.
BackgroundEpithelial tubo-ovarian cancer (EOC) has high mortality partly due to late diagnosis. Prevention is available but may be associated with adverse effects. A multifactorial risk model based on known genetic and epidemiological risk factors (RFs) for EOC can help identify women at higher risk who could benefit from targeted screening and prevention.MethodsWe developed a multifactorial EOC risk model for women of European ancestry incorporating the effects of pathogenic variants (PVs) in BRCA1, BRCA2, RAD51C, RAD51D and BRIP1, a Polygenic Risk Score (PRS) of arbitrary size, the effects of RFs and explicit family history (FH) using a synthetic model approach. The PRS, PV and RFs were assumed to act multiplicatively.ResultsBased on a currently available PRS for EOC that explains 5% of the EOC polygenic variance, the estimated lifetime risks under the multifactorial model in the general population vary from 0.5% to 4.6% for the first to 99th percentiles of the EOC risk distribution. The corresponding range for women with an affected first-degree relative is 1.9%–10.3%. Based on the combined risk distribution, 33% of RAD51D PV carriers are expected to have a lifetime EOC risk of less than 10%. RFs provided the widest distribution, followed by the PRS. In an independent partial model validation, absolute and relative 5-year risks were well calibrated in quintiles of predicted risk.ConclusionThis multifactorial risk model can facilitate stratification, in particular among women with FH of cancer and/or moderate-risk and high-risk PVs. The model is available via the CanRisk Tool (www.canrisk.org).
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