The role of radiotherapy in local control of nonextremity Ewing sarcomas

A tool for predicting overall survival in patients with Ewing sarcoma: a multicenter retrospective study

OBJECTIVE

The aim of this study was to establish and validate a clinical prediction model for assessing the risk of metastasis and patient survival in Ewing's sarcoma (ES).

METHODS

Patients diagnosed with ES from the Surveillance, Epidemiology and End Results (SEER) database for the period 2010-2016 were extracted, and the data after exclusion of vacant terms was used as the training set (n=767). Prediction models predicting patients' overall survival (OS) at 1 and 3 years were created by cox regression analysis and visualized using Nomogram and web calculator. Multicenter data from four medical institutions were used as the validation set (n=51), and the model consistency was verified using calibration plots, and receiver operating characteristic (ROC) verified the predictive ability of the model. Finally, a clinical decision curve was used to demonstrate the clinical utility of the model.

RESULTS

The results of multivariate cox regression showed that age, , bone metastasis, tumor size, and chemotherapy were independent prognostic factors of ES patients. Internal and external validation results: calibration plots showed that the model had a good agreement for patient survival at 1 and 3 years; ROC showed that it possessed a good predictive ability and clinical decision curve proved that it possessed good clinical utility.

CONCLUSIONS

The tool built in this paper to predict 1- and 3-year survival in ES patients ( https://drwenleli0910.shinyapps.io/EwingApp/ ) has a good identification and predictive power.

Treatment of pelvic Ewing's sarcoma: Pros and cons of chemotherapy plus definitive radiotherapy versus surgery

OBJECTIVE

The aim of this study was to compare the results of chemotherapy or combined chemotherapy-radiation therapy with surgical intervention following neodjuvant therapy in pelvic Ewing's sarcoma patients.

METHODS

The study population consisted of 39 patients with pelvic Ewing's sarcoma treated in our clinic between 1994 and 2014. Of these patients, 28 patients (11 boys and 17 girls; mean age: 19.57±6.8 years) were treated with chemotherapy and radiation therapy and the remaining 11 patients (9 boys and 2 girls; mean age: 18.64±8.1 years) patients underwent surgical intervention after neoadjuvant chemotherapy or chemotherapy plus radiation therapy. Internal hemipelvectomy was performed in 10 patients, and external hemipelvectomy was performed in one patient. Survival rates were compared between the surgical and non-surgical treatment groups. Predictive factors, such as treatment protocol (surgery, neoadjuvant chemotherapy, definitive radiotherapy), mass localisation, mass size, presence of metastasis at the time of diagnosis, and presence of late metastases were compared between the groups. The effects of each variable on survival were also examined.

RESULTS

The overall 3- and 5-year survival rates of the 28 non-surgical patients were 41.4% and 26.1%, respectively, while those of the surgical patients were 53% and 35.4%, respectively (p=0.777). Large mass size, presence of metastasis at the time of diagnosis, and presence of late metastases were significantly associated with lower survival rates.

CONCLUSION

The survival rates of the patients who underwent surgery were higher than those of non-surgical patients, although the difference was not statistically significant. Definitive radiation and chemotherapy would be preferable in selected cases, such as patients with sacral localisation, without surgical intervention.

LEVEL OF EVIDENCE

Level III, Therapeutic Study.

A nomogram for determining the disease-specific survival in Ewing sarcoma: a population study

Background

We aimed to develop and validate a nomogram for predicting the disease-specific survival of Ewing sarcoma (ES) patients.

Methods

The Surveillance, Epidemiology, and End Results (SEER) program database was used to identify ES from 1990 to 2015, in which the data was extracted from 18 registries in the US. Multivariate analysis performed using Cox proportional hazards regression models was performed on the training set to identify independent prognostic factors and construct a nomogram for the prediction of the 3-, 5-, and 10-year survival rates of patients with ES. The predictive values were compared by using concordance indexes (C-indexes), calibration plots, integrated discrimination improvement (IDI), net reclassification improvement (NRI), and decision curve analysis (DCA).

Results

A total of 2,643 patients were identified. After multivariate Cox regression, a nomogram was established based on a new model containing the predictive variables of age, race, extent of disease, tumor size, and therapy of surgery. The new model provided better C-indexes (0.684 and 0.704 in the training and validation cohorts, respectively) than the model without therapy of surgery (0.661 and 0.668 in the training and validation cohorts, respectively). The good discrimination and calibration of the nomogram were demonstrated for both the training and validation cohorts. NRI and IDI were also improved. Finally, DCA demonstrated that the nomogram was clinically useful.

Conclusion

We developed a reliable nomogram for determining the prognosis and treatment outcomes of patients with ES in the US. However, the proposed nomogram still requires external data verification in future applications, especially for regions outside the US.

Nifuroxazide induces apoptosis, inhibits cell migration and invasion in osteosarcoma

Osteosarcoma is the most common primary malignancy of bone and characterized by an appendicular primary tumor with a high rate of metastasis to the lungs. Unfortunately, there is no effective strategy to treat osteosarcoma in current clinical practice. In this study, the anticancer effects and potential mechanisms of nifuroxazide, an oral nitrofuran antibiotic, on two osteosarcoma cell lines were investigated. The results of the antiproliferative activity in vitro showed that nifuroxazide inhibited cell proliferation of UMR106 and MG63 cells in a dose- and time-dependent manner. Interestingly, nifuroxazide showed low toxicity to non-tumor cells (HEK 293 T). In addition, ROS-mitochondrial mediated apoptosis was observed after treatment of nifuroxazide. Moreover, nifuroxazide could significantly inhibit osteosarcoma cells migration and invasion via p-Stat3, MMP-2 and MMP-9 mediated signaling pathway. Taken together, our results suggested that nifuroxazide could be a promising agent for osteosarcoma treatment by inhibiting cell proliferation, inducing cell apoptosis and impairing cell migration and invasion.