scholarly journals Individualized Prediction of Overall Survival for Metastatic Ewing sarcoma of Bone

2021 ◽  
Author(s):  
wang chengwei
Keyword(s):  
Overall Survival ◽  
Ewing Sarcoma ◽  
Classification System ◽  
Ewing’S Sarcoma ◽  
Prediction Models ◽  
Ewing's Sarcoma ◽  
Characteristic Curve ◽  
Treatment Method ◽  
Risk Classification ◽  
Cox Analysis

Abstract Background: Few models have been used to estimate the survival rate of patients metastatic Ewing sarcoma of bone are scarce. We aimed to develop nomograms for predicting 3-, 5-year survival for these patients.Methods: We extracted 686 cases of metastatic Ewing's sarcoma diagnosed between 1973 and 2016 from the Surveillance, Epidemiological and End Results (SEER) database. Univariate and multivariate Cox analysis were used to determine independent prognostic factors. The nomograms are based on the results of multivariate Cox analysis. We also evaluate the performance of these prediction models through the analysis of time-dependent receiver operating characteristic curve, concordance index, calibration curve and decision curve.Results: Age, surgery, tumor size, treatment method and chemotherapy were considered to be important predictors of overall survival of bone metastatic Ewing's sarcoma. Based on these factors, the nomogram models were established and verified internally. These models have good identification and calibration characteristics. A risk classification system based on nomogram has also been constructed to promote risk stratification of metastatic Ewing's sarcoma and to optimize clinical management.Conclusions: We developed the first nomograms and corresponding risk classification system to predict the survival of patients with bone metastatic Ewing's sarcoma. These easy-to-use tools can help oncologists and surgeons make accurate survival assessments.

scholarly journals CCT6A, a Novel Prognostic Biomarker for Ewing's Sarcoma

2020 ◽  
Author(s):  
Jie Jiang ◽  
Chong Liu ◽  
Guoyong Xu ◽  
Tuo Liang ◽  
Chaojie Yu ◽  
...  
Keyword(s):  
Gene Expression ◽  
Overall Survival ◽  
Ewing Sarcoma ◽  
Ewing’S Sarcoma ◽  
Ewing's Sarcoma ◽  
High Expression ◽  
P Value ◽  
Event Free Survival ◽  
Free Survival ◽  
Cox Regression Analysis

Abstract Background: Ewing's sarcoma (ES) is the second most prevalent malignancy among bone tissue tumors, and there is no adequate prognosis biomarker. The protein encoded by CCT6A is a molecular chaperone. Early studies have suggested that CCT6A is involved in the development of many cancers, however, there is no clear evidence of a role for CCT6A in ES.Methods: In this study, we performed a bioinformatics analysis of 32 Ewing sarcoma specimens from the GSE17618 dataset for differences in gene expression and overall survival, event-free survival, and gene expression in different subgroups. Results: After three screenings, we identified CCT6A as highly correlated with Ewing's sarcoma prognosis. Survival analysis showed low overall survival (OS) for CCT6A high expression (P=0.024). On the other hand, Cox regression analysis showed that CCT6A expression, event-free survival (EFS), and age were strongly associated with the prognosis of Ewing sarcoma, identified as independent poor prognostic biomarkers. (CCT6A: P=0.015; Age: P-value=0.026; EFS: P-value=0.001). Conclusion: The expression level of CCT6A is strongly associated with the prognosis of Ewing's sarcoma. High expression of the CCT6A gene may serve as a biomarker for poor prognosis in patients with Ewing's sarcoma.

CCT6A, a novel prognostic biomarker for Ewing's sarcoma

2020 ◽  
Author(s):  
Jie Jiang ◽  
Chong Liu ◽  
Guoyong Xu ◽  
Tuo Liang ◽  
Chaojie Yu ◽  
...  
Keyword(s):  
Gene Expression ◽  
Overall Survival ◽  
Ewing Sarcoma ◽  
Ewing’S Sarcoma ◽  
Ewing's Sarcoma ◽  
High Expression ◽  
P Value ◽  
Event Free Survival ◽  
Free Survival ◽  
Cox Regression Analysis

Abstract Background Ewing's sarcoma (ES) is the second most prevalent malignancy among bone tissue tumors, and there is no adequate prognosis biomarker. The protein encoded by CCT6A is a molecular chaperone. Early studies have suggested that CCT6A is involved in the development of many cancers, however, there is no clear evidence of a role for CCT6A in ES. Methods In this study, we performed a bioinformatics analysis of 32 Ewing sarcoma specimens from the GSE17618 dataset for differences in gene expression and overall survival, event-free survival, and gene expression in different subgroups. Results After three screenings, we identified CCT6A as highly correlated with Ewing's sarcoma prognosis. Survival analysis showed low overall survival (OS) for CCT6A high expression (P = 0.024). On the other hand, Cox regression analysis showed that CCT6A expression, event-free survival (EFS), and age were strongly associated with the prognosis of Ewing sarcoma, identified as independent poor prognostic biomarkers. (CCT6A: P = 0.015; Age: P-value = 0.026; EFS: P-value = 0.001). Conclusion The expression level of CCT6A is strongly associated with the prognosis of Ewing's sarcoma. High expression of the CCT6A gene may serve as a biomarker for poor prognosis in patients with Ewing's sarcoma.

scholarly journals Construction of a Prognostic Signature in Ewing’s Sarcoma: Based On Metabolism-Related Genes

2021 ◽  
Author(s):  
Bo Wu ◽  
Dong Zhu ◽  
Bo Yu ◽  
Yuanyuan Hou ◽  
Hongyu Wang ◽  
...  
Keyword(s):  
Overall Survival ◽  
Ewing’S Sarcoma ◽  
Cox Regression ◽  
Ewing's Sarcoma ◽  
Risk Group ◽  
Expression Profiles ◽  
High Risk Group ◽  
Prognostic Signature ◽  
Cox Regression Analysis ◽  
Cox Analysis

Abstract Objective: By combining the expression profiles of metabolism-related genes (MRGS) with clinical information, the expression quantities of MRGS and the influence on development and prognosis were systematically analyzed, so as to provide a theoretical basis for the clinical study on the prognosis of Ewing's sarcoma.Methods: MRGs expression profiles of 64 patients with Ewing's sarcoma were obtained from the GEO dataset. Univariate Cox regression analysis was used to identify metabolization-related differentially expressed genes (DEGs) related with prognosis in Ewing's sarcoma patients. Then, multivariate Cox analysis was used to calculate novel prognostic markers based on metabolism-related DEGs. Finally, the new prognostic index was verified on the basis of the prognostic models.Results: Univariate Cox regression analysis identified 20 metabolization-related DEGs, 9 of which were significantly associated with Ewing's sarcoma patients' overall survival. Subsequently, we used nine metabolism-related DEGs to construct metabolism-related prognostic signature for patients with Ewing's sarcoma. Based on the 9 DEGs regression coefficient, we put forward the formula of each patient's risk score, and then divided the patients into high-risk group and low-risk group. The results indicated that the survival rate and survival time were higher in the low-risk group and lower in the high-risk group. Multivariate Cox analysis showed that risk score index was indeed an independent prognostic factor for Ewing's sarcoma. In addition, the area under the receiver operating characteristic (ROC) curve for overall survival was 0.985. And a nomogram model was established.Conclusion: The experimental results suggest that the 9 metabolism-related DEGs marker may be effective in predicting the prognosis of Ewing's sarcoma to some extent, helping to individualize treatment of patients at different risks.

scholarly journals Construction of a Prognostic Signature in Ewing’s Sarcoma: Based on RNA-binding Genes

2021 ◽  
Author(s):  
Bo Wu ◽  
Haoqun Xie ◽  
Wang Yibo ◽  
Guo Zhen ◽  
Hou Yuanyuan ◽  
...  
Keyword(s):  
Overall Survival ◽  
Regression Analysis ◽  
High Risk ◽  
Ewing’S Sarcoma ◽  
Rna Binding ◽  
Cox Regression ◽  
Ewing's Sarcoma ◽  
Risk Group ◽  
Cox Regression Analysis ◽  
Cox Analysis

Abstract Background: Ewing’s sarcoma is the second most prevalent primary malignant bone neoplasm. RNA-binding proteins(RBPs) play a crucial role in post-transcriptional events. In tumor cells, the alterations of post-transcription enable cells to adapt to adjacent environment rapidly. Thus, the functions of RBPs in Ewing’s sarcoma can be of high value in the prognostic[1]. The underlying mechanism between Ewing’s sarcoma and RBPs remained unclear. Methods: Based on the GEO dataset, we investigated the global protein expression profile of Ewing's sarcoma patients. Differentially expressed proteins and survival-related RNA-binding protein related genes (RRGs) were evaluated by computational difference algorithm and COX regression analysis. In addition, we also explored the mutations in these RRGs. A new prognostic indicator based on RRGs was developed and tested afterwards using multivariate COX analysis.Results: The results showed that a total of 16 RRGs which closely associated with the overall survival in Ewing’s sarcoma patients using multivariate Cox regression analysis. The prognosis-related RRGs signature established using Cox regression model consists of 8 RRGs that can divide patients into high-risk and low-risk groups. Our results suggested that overall survival rate of high-risk group patients was shorter than the patients in low-risk group. According to multivariate Cox analysis, risk score index was an independent prognosis factor for Ewing’s sarcoma. In addition, the area under the curve of the corresponding receiver operating characteristic (ROC) curve of survival is 0.947.Conclusion: The 8 RRGs marker can predict the prognosis of Ewing’s sarcoma and thus help individualized treatment of patients at different risks.

Nomograms Predicting Overall Survival and Cancer Special Survival for Cervical Cancer in stage IIIC1

2021 ◽  
Author(s):  
Yifan Feng ◽  
Ye Wang ◽  
Yangqin Xie ◽  
Shuwei Wu ◽  
Yuyang Li ◽  
...  
Keyword(s):  
Cervical Cancer ◽  
Overall Survival ◽  
Tumor Size ◽  
Random Sampling ◽  
Prediction Models ◽  
Cox Regression ◽  
Characteristic Curve ◽  
Training Group ◽  
Data Sets ◽  
External Data

Abstract BackgroundThe purpose of this study is to explore the factors that affect the prognosis of overall survival (OS) and cancer special survival (CSS) in cervical cancer with stage IIIC1 and establish nomogram models to predict this prognosis.MethodsData from The Surveil-lance, Epidemiology, and End Results (SEER) Program meeting the inclusion criterions were classified into training group, and data of validation were obtained from the First Affiliated Hospital of Anhui Medical University from 2010 to 2019. The incidence, Kaplan‐Meier curves, OS and CSS of stage IIIC1 were evaluated according to the training group. Nomograms were established according to the results of univariate and multivariate Cox regression models. Harrell’s C-index and receiver operating characteristic curve (ROC) were calculated to measure the accuracy of the prediction models. Calibration plots show the relationship between the predicted probability and the actual outcome. Decision-curve analysis (DCA) was applied to evaluate the clinical applicability of the constructed nomogram.ResultsThe incidence of pelvic lymph node metastasis, a high-risk factor for prognosis in cervical cancer, decreased slightly over time. There are eight independent prognostic variables for OS, including age, race, histology, differentiation, extension range, tumor size, radiation recode and surgery, but seven for CSS with age excluded. Nomograms of OS and CSS were established based on the results. The C-index for the nomograms of OS and CSS were 0.692, 0.689 respectively when random sampling of SEER data sets, and 0.706, 0.737 respectively when random sampling of external data sets. AUCs for the nomogram of OS were 0.648, 0.644 respectively, and 0.683, 0.675 for the nomogram of CSS. Calibration plots for the nomograms were almost identical to the actual observations. The DCA also proved the value of the two models.ConclusionAge, race, histology, differentiation, extension range, tumor size, radiation recode and surgery were all independent prognosis factors for OS. Only age excepts in CSS. OS and CSS nomograms were established in our study based on the result of multivariate Cox proportional hazard regression, and both own good predictive and clinical application value after validation.

Multimodal therapy for the management of primary, nonmetastatic Ewing's sarcoma of bone: a long-term follow-up of the First Intergroup study.

1990 ◽  
Vol 8 (10) ◽  
pp. 1664-1674 ◽  
Author(s):  
M E Nesbit ◽  
E A Gehan ◽  
E O Burgert ◽  
T J Vietti ◽  
A Cangir ◽  
...  
Keyword(s):  
Overall Survival ◽  
Local Recurrence ◽  
Multimodal Therapy ◽  
Ewing’S Sarcoma ◽  
Ewing's Sarcoma ◽  
Patient Characteristics ◽  
Group I ◽  
Long Term Follow Up

A total of 342 previously untreated eligible children were entered into the first Intergroup Ewing's Sarcoma Study (IESS) between May 1973 and November 1978. In group I institutions, patients were randomized between treatment 1 (radiotherapy to primary lesion plus cyclophosphamide, vincristine, dactinomycin, and Adriamycin [doxorubicin; Adria Laboratories, Columbus, OH] [VAC plus ADR]) or treatment 2 (same as treatment 1 without ADR), and group II institutions randomized patients between treatment 2 or treatment 3 (same as treatment 2 plus bilateral pulmonary radiotherapy [VAC plus BPR]). The percentages of patients relapse-free and surviving (RFS) at 5 years for treatments 1, 2, and 3 were 60%, 24%, and 44%, respectively. There was strong statistical evidence of a significant advantage in RFS for treatment 1 (VAC plus ADR) versus 2 (VAC alone) (P less than .001) and 3 (P less than .05) and also of treatment 3 versus 2 (P less than .001). Similar significant results were observed with respect to overall survival. Patients with disease at pelvic sites have significantly poorer survival at 5 years than those with disease at nonpelvic sites (34% v 57%; P less than .001). Among pelvic cases, there was no evidence of differing survival by treatment (P = .81), but among nonpelvic cases, there was strong evidence of differing survival by treatment (P less than .001). The overall percentage of patients developing metastatic disease was 44%; the percentages by treatments 1, 2, and 3 were 30%, 72%, and 42%, respectively. The overall incidence of local recurrence was 15%, and there was no evidence that local recurrence rate differed by treatment. Patient characteristics related to prognosis, both with respect to RFS and overall survival experience, were primary site (nonpelvic patients were most favorable) and patient age (younger patients were more favorable).

Role of surgical resection in pelvic Ewing's sarcoma.

1995 ◽  
Vol 13 (9) ◽  
pp. 2336-2341 ◽  
Author(s):  
S P Scully ◽  
H T Temple ◽  
R J O'Keefe ◽  
M T Scarborough ◽  
H J Mankin ◽  
...  
Keyword(s):  
Overall Survival ◽  
Radiation Therapy ◽  
Disease Control ◽  
Surgical Resection ◽  
Ewing’S Sarcoma ◽  
Ewing's Sarcoma ◽  
Disease Free Survival ◽  
Local Disease ◽  
Local Disease Control

PURPOSE The improved survival in patients with Ewing's sarcoma over the past two decades has placed increased importance on achievement of local disease control. Ewing's sarcoma that arises in the pelvis has been recognized to have a worse prognosis than that in the appendicular skeleton, and the role of surgical resection in these cases remains controversial. The current study attempts to identify a benefit to surgical resection in these patients. METHODS We retrospectively examined 39 patients who presented with Ewing's sarcoma in a pelvic location, all of whom were treated systemically with chemotherapy. Twenty patients received radiation only as a means of local control, and 19 underwent resection with or without radiation therapy. The patients were evaluated with end points of disease-free survival and overall survival for a minimum of 24 months and a mean of 58 months. RESULTS There was an even distribution among patients who underwent surgical resection for local control as compared with those who received only radiation therapy with respect to age, site, date of treatment, and stage of disease. Despite uncontrolled biases including tumor size and response to chemotherapy that would be expected to favor patients who undergo resection, surgery in addition to or in substitution for radiation therapy did not result in a statistically significant increase in disease-free survival or overall survival. Local disease control was comparable between those who underwent resection and those who did not: three patients in each group developed a local recurrence. CONCLUSION Currently, morbidity of surgical resection should be weighed against the efficacy and secondary complications of radiation therapy in the decision-making process for local disease control. The issue of whether overall survival and local disease control is improved in patients who undergo surgical resection remains controversial and may require a prospective randomized trial to be answered definitively.

scholarly journals Van Nes rotationplasty as a treatment method for Ewing's sarcoma in a 14-month-old

2013 ◽  
Vol 4 (10) ◽  
pp. 893-897 ◽  
Author(s):  
Jagmeet S. Bhamra ◽  
Hani B. Abdul-Jabar ◽  
David McKenna ◽  
Stephen Ng Man Sun ◽  
Elizabeth Gillott ◽  
...  
Keyword(s):  
Ewing’S Sarcoma ◽  
Ewing's Sarcoma ◽  
Treatment Method

scholarly journals A nomogram for predicting overall survival in patients with Ewing sarcoma: a SEER-based study

2020 ◽  
Vol 21 (1) ◽  
Author(s):  
Zhenggang Zhou ◽  
Jinyu Wang ◽  
Liming Fang ◽  
Jianlin Ma ◽  
Mingbo Guo
Keyword(s):  
Overall Survival ◽  
Ewing Sarcoma ◽  
Predictive Ability ◽  
Seer Database ◽  
Independent Variables ◽  
Calibration Curves ◽  
Good Ability ◽  
N Stage ◽  
Prognostic Prediction ◽  
Cox Analysis

Abstract Background Ewing sarcoma, the second most frequent bone tumor in children and adolescents, is often presented with localized disease or metastatic-related symptoms. In this study, we aim to construct and validate a nomogram for patients with Ewing sarcoma to predict the 3- and 5-year overall survival (OS) based on the Surveillance, Epidemiology, and End Results (SEER) database. Methods Demographic and clinic pathological characteristics of patients with Ewing sarcoma diagnosed between 2010 and 2015 were extracted from SEER database. Univariate and multivariate Cox analyses were carried out to identify the independent characteristics. The independent factors were further included into the construction of a nomogram. Finally, c-index and calibration curves were used to validate the nomogram. Results A total of 578 patients were enrolled into our analysis. The results of univariate Cox analysis showed that age, 7th AJCC stage, 7th AJCC T stage, 7th AJCC N stage, 7th AJCC M stage, metastatic status to lung, liver and bone were significant factors. Multivariate Cox analysis was performed and it confirmed age, N stage and bone metastasis as independent variables. Next, a nomogram was constructed using these independent variables in prediction to the 3- and 5-year OS. Furthermore, favorable results with c-indexes (0.757 in training set and 0.697 in validation set) and calibration curves closer to ideal curves indicated the accurate predictive ability of this nomogram. Conclusions The individualized nomogram demonstrated a good ability in prognostic prediction for patients with Ewing sarcoma.

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