Prognosis of solitary bone plasmacytoma of the extremities: A SEER-based study.

ABSTRACT: Due to the rarity of solitary bone plasmacytoma (SBP), few studies reported the prognosis and survival predictors of SBP, especially for patients with extremity SBP.A total of 552 patients with extremity SBP were identified from the Surveillance Epidemiology and Ends Results (SEER) database between 1973 and 2016. In order to obtain independent predictors of survival, we performed both univariate and multivariate analysis via Cox proportional hazards model. Additionally, we used the Kaplan-Meier method to construct survival curves.The mean and median age at diagnosis of all patients were 64 and 65 years, respectively. The ratio of male versus women was 1.3:1. Overall survival for this special population was 51.2% and 34.9% at 5 and 10 years, respectively. Cancer-specific survival (CSS) for this special population was 63.5% and 47.5% at 5 and 10 years, respectively. Age at diagnosis and radiotherapy treatment were found to be significant independent predictors of both overall survival and CSS. Additionally, multivariate analysis showed that year of diagnosis and marital status were significantly correlated with CSS.This is the first study to identify prognostic factors of extremity SBP by using the SEER database. Our findings highlight that radiotherapy is the mainstream treatment for extremity SBP. Additionally, age, year of diagnosis, and marital status were significant independent predictors of survival. Knowledge of these survival predictors may help clinicians provide appropriate management for extremity SBP patients.

Establishing a novel prognostic tool for Ewing sarcoma patients: Surveillance, Epidemiology, and End Results database analysis.

Patients diagnosed with Ewing sarcoma (ES) usually experience poor outcomes. Accurate prediction of ES patients' prognosis is essential to improve their survival. Given that ES is a relatively rare tumor with a low incidence, we aim at developing a prognostic nomogram of ES patients based on a large sample analysis.We used the Surveillance, Epidemiology, and End Results (SEER) database to screen eligible patients diagnosed ES of bone. This retrospective study presented the clinicopathological characteristics and prognosis of ES. We randomly assigned all ES patients to 2 sets (training set and validation set) with an equal number of patients. In order to identify independent factors of survival, we performed univariate and multivariate Cox analysis in the training set. Then, we constructed novel nomograms to predict survival of ES patients by integrating significant independent variables from the training set. The prognostic performance of constructed nomograms was examined using concordance index (C-index) and calibration curves in both training and validation set.We included a total of 988 eligible cases diagnosed ES of bone between 2000 and 2015. Age >18 years, distant metastasis, tumor size >10 cm, and no surgery were independent risk factors for poorer survival. Our survival prediction nomograms were established based on those 4 independent risk factors. Good calibration plots were achieved in internal and external validation. The internal validation C-indexes of the nomogram for overall survival (OS) and cancer-specific survival (CSS) were 0.733 and 0.737, respectively. Similar good results were also achieved in external validation setting.The established nomograms show good performance and allow for better evaluating the prognosis of ES patients and recommending appropriate instructions.

Treatment of limb synovial sarcoma with metastasis at presentation.

Limb synovial sarcoma (LSS) patients with metastasis at presentation usually have a very poor prognosis. Little is known about survival prediction and risk factors in these patients owing to the condition's rarity. Thus, this study examined the survival and prognostic variables of metastatic LSS.Clinical data for LSS patients with metastasis at presentation from 1975 to 2016 were obtained from the surveillance, epidemiology, and end results database. The Kaplan-Meier method was used to determine the survival curves. Univariate and multivariate Cox regression analysis were conducted to identify the prognostic predictors.The study enrolled 217 patients. Male predominance was observed in the metastatic LSS group. The median age at diagnosis of this population was 40 years. The subtypes were "not otherwise specified" (49.8%), spindle cell (32.7%), biphasic (17.1%), and epithelioid cell (0.5%). The 3-year overall and cancer-specific survival rates of the entire group were 27.2% and 28.3%, respectively. Tumor size <10 cm, surgery, radiotherapy, and chemotherapy were independent predictors of improved overall and cancer-specific survival in the multivariate analyses.Comprehensive treatment for LSS patients with metastasis at diagnosis is necessary and effective and can prolong survival.

Clinical features and prognostic analysis of patients with chest wall chondrosarcoma.

Chest wall chondrosarcoma is a rare malignant tumor of the bone. This study is aimed to identify the prognostic determinants of chest wall chondrosarcoma. We used the Surveillance, Epidemiology, and End Results (SEER) database to identify patients with chest wall chondrosarcoma from 1973 to 2015. Statistical analyses were performed using Kaplan-Meier method and Cox regression proportional hazards. A total of 779 patients were identified from the SEER database. The overall survival (OS) and cancer-specific survival (CSS) rates of the entire group at 10 years were 66.2% and 77.2%, respectively. On multivariate Cox regression, age ≤40 years, localized tumor stage, low tumor grade, surgery, and no radiotherapy were significantly associated with improved both OS and CSS. This study may help clinicians to predict survival of patients with chest wall chondrosarcoma and to provide appropriate treatment recommendations.