PREDICT is a breast cancer prognostic and treatment benefit model implemented online. The overall fit of the model has been good in multiple independent case series, but PREDICT has been shown to underestimate breast cancer specific mortality in women diagnosed under the age of 40. Another limitation is the use of discrete categories for tumour size and node status resulting in ‘step’ changes in risk estimates on moving between categories. We have refitted the PREDICT prognostic model using the original cohort of cases from East Anglia with updated survival time in order to take into account age at diagnosis and to smooth out the survival function for tumour size and node status. Multivariable Cox regression models were used to fit separate models for ER negative and ER positive disease. Continuous variables were fitted using fractional polynomials and a smoothed baseline hazard was obtained by regressing the baseline cumulative hazard for each patients against time using fractional polynomials. The fit of the prognostic models were then tested in three independent data sets that had also been used to validate the original version of PREDICT. In the model fitting data, after adjusting for other prognostic variables, there is an increase in risk of breast cancer specific mortality in younger and older patients with ER positive disease, with a substantial increase in risk for women diagnosed before the age of 35. In ER negative disease the risk increases slightly with age. The association between breast cancer specific mortality and both tumour size and number of positive nodes was non-linear with a more marked increase in risk with increasing size and increasing number of nodes in ER positive disease. The overall calibration and discrimination of the new version of PREDICT (v2) was good and comparable to that of the previous version in both model development and validation data sets. However, the calibration of v2 improved over v1 in patients diagnosed under the age of 40. The PREDICT v2 is an improved prognostication and treatment benefit model compared with v1. The online version should continue to aid clinical decision making in women with early breast cancer.
Background: Chronic pelvic pain (CPP) is a common and complex disease whose cause is often clinically inexplicable, with consequent difficulty in diagnosis and treatment. Patients with CPP have high levels of anxiety and depression, with a consequent impairment of their quality of life. Aims: The objective of this study was to determine the prevalence of anxiety and depression and their impact on the quality of life of women with CPP. Materials and methods: A cross‐sectional controlled study was conducted on 52 patients with CPP and 54 women without pain. Depression and anxiety were evaluated by the Hospital Anxiety and Depression Scale, and quality of life was evaluated by the World Health Organization Quality of life Whoqol‐bref questionnaire. Data were analysed statistically by the Mann‐Whitney U‐test, the Fisher exact test, chi‐square test and Spearman correlation test. Results: The prevalence of anxiety was 73% and 37% in the CPP and control groups, respectively, and the prevalence of depression was 40% and 30% respectively. Significant differences between groups were observed in the physical, psychological and social domains. Patients with higher anxiety and depression scores present lower quality of life scores. Discussion: The fact that DPC is a syndromic complex, many patients enter a chronic cycle of search for improvement of medical symptoms. The constant presence of pain may be responsible for affective changes in dynamics, family, social and sexual. Initially the person is facing the loss of a healthy body and active, to a state of dependence and limitations. In this study, patients with higher scores of anxiety and depression scores had lower quality of life and patients with lower scores of anxiety and depression had scores of quality of life. These results show that perhaps the depression and anxiety may be related to the negative impact on quality of life of these patients. Conclusion: In view of this association, we emphasise the importance of a specific approach to the treatment of anxiety and depression together with clinical treatment to improve the quality of life of these patients.
30 December 2022 in International Journal of Gynecological Cancer
Endometrial carcinosarcoma is a rare and aggressive high-grade endometrial carcinoma with secondary sarcomatous trans-differentiation (conversion theory). The clinical presentation and diagnostic work-up roughly align with those of the more common endometrioid counterpart, although endometrial carcinosarcoma is more frequently diagnosed at an advanced stage. Endometrial carcinosarcoma is not a single entity but encompasses different histological subtypes, depending on the type of carcinomatous and sarcomatous elements. The majority of endometrial carcinosarcomas are characterized by p53 abnormalities. The proportion of POLE and microsatellite instablity-high (MSI-H) is directly related to the epithelial component, being approximately 25% and 3% in endometrioid and non-endometrioid components. The management of non-metastatic disease is based on a multimodal approach with optimal surgery followed by (concomitant or sequential) chemotherapy and radiotherapy, even for early stages. Palliative chemotherapy is recommended in the metastatic or recurrent setting, with carboplatin/paclitaxel doublet being the first-line regimen. Although the introduction of immunotherapy plus/minus a tyrosine kinase inhibitor shifted the paradigm of treatment of patients with recurrent endometrial cancer, patients with endometrial carcinosarcoma were excluded from most studies evaluating single-agent immunotherapy or the combination. However, the US Food and Drug Administration (FDA) and the European Medicines Agency (EMA) approved the use of pembrolizumab and lenvatinib in endometrial cancer (all histotypes) after progression on chemotherapy and single-agent immunotherapy in MSI-H cancers. In the era of precision medicine, emerging knowledge on molecular endometrial carcinosarcoma is opening new promising therapeutic options for more personalized treatment. The present review outlines state-of-the-art knowledge and future directions for patients with endometrial carcinosarcoma.