ABSTRACT
Objective: To investigate the clinical manifestations, imaging and pathological features, treatment methods and prognosis of primary leiomyosarcoma of kidney, and the choice of treatment with tumor thrombus. Methods: The clinical data of a patient with primary renal leiomyosarcoma complicated with inferior vena cava and right atrial tumor thrombus were retrospectively analyzed. Radical resection of right kidney without cardiopulmonary bypass and removal of inferior vena cava and right atrial tumor thrombus were performed. Adjuvant intravenous chemotherapy was given according to the results, and follow-up observation was made. Results: Postoperative pathological findings were: leiomyosarcoma (right renal tumor), the size of the mass was about 12.1 cm, and no cancer was found at the incision end of the right ureter. Conclusion: Primary leiomyosarcoma of kidney is rare in clinical practice, and complication of right atrial tumor embolus is even rarer. The disease has high malignant degree and poor prognosis. The clinical manifestations and imaging examinations were non-specific, and pathological diagnosis was the gold standard. Radical surgical resection is the main treatment method at present, and it provides experience for the treatment of grade IV tumor thrombus without cardiopulmonary bypass.
ABSTRACT
Introduction: Cancer in patients of childbearing age continues to become increasingly common. The purpose of this study was to explore the impact of metastatic breast cancer (MBC) on overall survival (OS) and cancer-specifific survival (CSS) in patients of childbearing age and to construct prognostic nomograms to predict OS and CSS. Methods: Data from MBC patients of childbearing age were obtained from the Surveillance, Epidemiology, and End Results (SEER) database between 2010 and 2015, and the patients were randomly assigned into the training and validation cohorts. Univariate and multivariate Cox analyses were used to search for independent prognostic factors impacting OS and CSS, and these data were used to construct nomograms. The concordance index (C-index), area under the curve (AUC), and calibration curves were used to determine the predictive accuracy and discriminative ability of the nomograms. Additional data were obtained from patients at the Yunnan Cancer Hospital to further verify the accuracy of the nomograms. Results: A total of 1,700 MBC patients of childbearing age were identifified from the SEER database, and an additional 92 eligible patients were enrolled at the Yunnan Cancer Hospital. Multivariate Cox analyses identifified 10 prognostic factors for OS and CSS that were used to construct the nomograms. The calibration curve for the probabilities of OS and CSS showed good agreement between nomogram prediction and clinical observations. The C-index of the nomogram for OS was 0.735 (95% CI = 0.725-0.744); the AUC at 3 years was 0.806 and 0.794 at 5 years.The nomogram predicted that the C-index of the CSS was 0.740 (95% CI = 0.730- 0.750); the AUC at 3 years was 0.811 and 0.789 at 5 years. The same results were observed in the validation cohort. Kaplan- Meier curves comparing the low-,medium-, and high-risk groups showed strong prediction results for the prognostic nomogram. Conclusion: We identifified several independent prognostic factors and constructed nomograms to predict the OS and CSS for MBC patients of childbearing age.These prognostic models should be considered in clinical practice to individualize treatments for this group of patients.
