Radiothérapie postopératoire dans les sarcomes utérins : étude rétrospective multicentrique

A novel nomogram for predicting cancer-specific survival in women with uterine sarcoma: a large population-based study

Background

Uterine sarcoma (US) is a rare malignant uterine tumor with aggressive behavior and rapid progression. The purpose of this study was to constructa comprehensive nomogram to predict cancer-specific survival (CSS) of patients with US-based on the Surveillance, Epidemiology, and End Results (SEER) database.

Methods

A retrospective population-based study was conducted using data from patients with US between 2010 and 2015 from the SEER database. They were randomly divided into a training cohort and a validation cohort ata 7-to-3 ratio. Multivariate Cox analysis was performed to identify independent prognostic factors. Subsequently, a nomogram was established to predict patient CSS. The discrimination and calibration of the nomogram were evaluated by the concordance index (C-index) and the area under the curve (AUC). Finally, net reclassification improvement (NRI), integrated discrimination improvement (IDI), calibration plotting, and decision-curve analysis (DCA) were used to evaluate the benefits of the new prediction model.

Results

A total of 3861 patients with US were included in our study. As revealed in multivariate Cox analysis, age at diagnosis, race, marital status, insurance record, tumor size, pathology grade, histological type, SEER stage, AJCC stage, surgery status, radiotherapy status, and chemotherapy status were found to be independent prognostic factors. In our nomogram, pathology grade had strongest correlation with CSS, followed by age at diagnosis and surgery status. Compared to the AJCC staging system, the new nomogram showed better predictive discrimination with a higher C-index in the training and validation cohorts (0.796 and 0.767 vs. 0.706 and 0.713, respectively). Furthermore, the AUC value, calibration plotting, NRI, IDI, and DCA also demonstrated better performance than the traditional system.

Conclusion

Our study validated the first comprehensive nomogram for US, which could provide more accurate and individualized survival predictions for US patients in clinical practice.

The systemic treatment of uterine leiomyosarcomas: A systematic review. No news is good news?

BACKGROUND

Uterine leiomyosarcomas are rare malignant mesenchymal tumors. The systemic treatment of these tumors includes chemotherapy and radiotherapy. However, there are still a lot of unanswered questions regarding the ideal therapeutic approach.

METHODS

We have conducted a systematic review of the treatment strategies of uterine leiomyosarcomas for the last ten years.

RESULTS

Adjuvant chemotherapy is still a matter of dilemma. Doxorubicin based chemotherapy or the combination of Gemcitabine-Docetaxel are the regimens of choice for the first line setting. Beyond the first line, there are several options;, including chemotherapy, targeted therapy, and recently efforts of introducing immunotherapy to the therapeutic armamentarium of clinicians treating uterine leiomyosarcomas.

CONCLUSIONS

Despite the efforts of the clinicians dealing with uterine leiomyosarcomas, the optimal therapeutic algorithm is yet to be described.