RESUMO
Purpose: In this retrospective pilot study, we aim to evaluate the accuracy and reliability of the P-POSSUM and ACS-NSQIP surgical risk calculators in predicting postoperative complications in gynaecological-oncological (GO) robotic surgery (RS). Methods: Retrospective data collection undertaken through a dedicated GO database and patient notes at a tertiary referral cancer centre. Following data lock with the actual post-op event/complication, the risk calculators were used to measure predictive scores for each patient. Baseline analysis of 153 patients, based on statistician advice, was undertaken to evaluate P-POSSUM and ACS-NSQIP validity and relevance in GO patients undergoing RS performed. Results: P-POSSUM reports on mortality and morbidity only; ACS-NSQIP reports some individual complications as well. ACS-NSQIP risk prediction was most accurate for venous thromboembolism (VTE) (area under the curve (AUC)-0.793) and pneumonia (AUC-0.657) and it showed 90% accuracy in prediction of five major complications (Brier score 0.01). Morbidity was much better predicted by ACS-NSQIP than by P-POSSUM (AUC-0.608 vs. AUC-0.551) with the same result in mortality prediction (Brier score 0.0000). Moreover, a statistically significant overestimation of morbidity has been shown by the P-POSSUM calculator (p = 0.018). Conclusions: Despite the limitations of this pilot study, the ACS-NSQIP risk calculator appears to be a better predictor of major complications and mortality, making it suitable for use by GO surgeons as an informed consent tool. Larger data collection and analyses are ongoing to validate this further.
RESUMO
There is an unmet biomedical need for ex vivo tumour models that would predict drug responses and in turn help determine treatment regimens and potentially predict resistance before clinical studies. Research has shown that three dimensional models of ovarian cancer (OvCa) are more realistic than two dimensional in vitro systems as they are able to capture patient in vivo conditions in more accurate manner. The vast majority of studies aiming to recapitulate the ovarian tumour morphology, behaviors, and study chemotherapy responses have been using ovarian cancer cell lines. However, despite the advantages of utilising cancer cell lines to set up a platform, they are not as informative as systems applying patient derived cells, as cell lines are not able to recapitulate differences between each individual patient characteristics. In this review we discussed the most recent advances in the creation of 3D ovarian cancer models that have used patient derived material, the challenges to overcome and future applications.
RESUMO
Lung cancer is the 3rd most common cancer in the UK and the numbers of new cases increase every year. In contrast to gastrointestinal tumours and breast cancer, lung cancer, metastases to the female genital tract are incredibly rare with only five cases reported with uterine metastases on review of the published English literature. We report an interesting case of successful ongoing management of metastatic lung cancer to the pelvis along with an extensive literature review. A 47-year-old lady with recurrent respiratory tract symptoms and chest pain was diagnosed with advanced stage non-small-cell lung cancer (Stage T4N2M1A). Five years following diagnosis and several cycles of chemotherapy and radiotherapy, aged 52, she complained of post-menopausal bleeding and pelvic discomfort. An endometrial biopsy confirmed a malignancy morphologically and immunohistochemically similar to her lung adenocarcinoma, in keeping with metastatic disease. She underwent robotic surgery to excise the pelvic organs and successfully gain local disease control. The patient remains clinically stable 3 years following hysterectomy. Although metastases of lung cancer to uterus are very rare, any patient with abnormal uterine bleeding with known cancer should be investigated thoroughly to rule out metastatic disease. Combined multimodal treatment as in this case may increase overall survival.
