scholarly journals Conditional survival after surgical resection of primary retroperitoneal tumors: a population-based study

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Shutao Zhao ◽  
Yixuan Zhao ◽  
Shuang Liu ◽  
Chao Zhang ◽  
Xudong Wang
Keyword(s):  
Prognostic Factors ◽  
Population Based ◽  
Clinicopathological Characteristics ◽  
Conditional Survival ◽  
Cancer Specific Survival ◽  
Factors Affecting ◽  
Probability Of Survival ◽  
Retroperitoneal Tumors ◽  
Primary Retroperitoneal ◽  
Primary Retroperitoneal Tumors

Abstract Background The purpose of this study was to assess conditional survival (CS) after resection of primary retroperitoneal tumors (RPTs). Methods The data of 1594 patients with primary RPTs who underwent surgery between 2004 and 2016 were retrieved from the Surveillance Epidemiology and End Results (SEER) database. Multivariate Cox analysis was used to identify prognostic factors affecting overall survival (OS) and cancer-specific survival (CSS). CS was used to calculate the probability of survival for an additional 3 years after the patient had survived x years, according to the formulas: COS3 = OS (x + 3) /OS (x) and CCSS3 = CSS (x + 3)/CSS (x). Results The 1-, 3-, and 5-year OS rates of all patients were 89.8, 71.8, and 60.8%, while the 1-, 3-, and 5-year CSS rates were 91.9, 77.1, and 67.8%, respectively. Age, sex, FNCLCC grade, size, multifocality, histology, and chemotherapy were independent prognostic factors for OS and CSS. Among patients who survived for 1, 3, and 5 years, the COS3 rates were 72.9, 77.9, and 79.3%, and the CCSS3 rates were 78.1, 82.7, and 85.8%, respectively. Patients with poor clinicopathological characteristics achieved greater improvements in COS3 and CCSS3 rates, and the survival gaps between OS and COS3, as well as CSS and CCSS3 were more obvious. Conclusion Postoperative CS of RPTs was dynamic and increased over time. CS increased more significantly in patients with poor clinicopathological characteristics.

scholarly journals Conditional Survival After Surgical Resection of Appendiceal Tumors: a Population-based Study

2021 ◽  
Author(s):  
Shutao Zhao ◽  
Chang Lu ◽  
Junan Li ◽  
Chao Zhang ◽  
Xudong Wang
Keyword(s):  
Prognostic Factors ◽  
Cox Regression ◽  
Population Based ◽  
Conditional Survival ◽  
Seer Database ◽  
Cancer Specific Survival ◽  
Population Based Study ◽  
Factors Affecting ◽  
Probability Of Survival ◽  
N Stage

Abstract Background: This study aimed to evaluate the conditional survival (CS) of appendiceal tumors (ATs) after surgery.Methods: A total of 3,031 patients with ATs who underwent surgery were included in the Surveillance Epidemiology and End Results (SEER) database from 2004 to 2016. A multivariate Cox regression model was used to analyze the prognostic factors affecting overall survival (OS) and cancer-specific survival (CSS). CS was used to calculate the probability of survival for another 3 years after the patient had survived x years. The formulas were COS3 = OS (x + 3) /OS (x), and CCS3 = CSS (x + 3)/CSS (x).Results: The 1-year, 3-year, and 5-year OSs for all patients were 95.6%, 83.3%, and 73.9%, respectively, while the 1-year, 3-year, and 5-year CSSs were 97.0%, 87.1%, and 79.9%, respectively. Age, grade, histology, N stage, carcinoembryonic antigen (CEA), and radiation were independent prognostic factors for OS and CSS. For patients that survived for 1 year, 3 years, and 5 years, their COS3s were 81.7%, 83.9%, and 87.0%, respectively. The CCS3s were 85.5%, 88.3%, and 92.0% respectively. In patients with poor clinicopathological factors, COS3 and CCS3 increased significantly, and the survival gap between OS and COS3, CSS and CCS3 was more obvious.Conclusions: CS for appendiceal tumors were dynamic and increased over time, especially in patients with poor prognosis.

scholarly journals New nomograms based on treatment outcome and prognostic factors for patients with spinal diffuse large B-cell lymphoma: A population‐based study

2020 ◽  
Author(s):  
Ben Wang ◽  
Lijie Chen ◽  
Boda Chen ◽  
Chenglong Xie ◽  
Zhenxuan Shao ◽  
...  
Keyword(s):  
Prognostic Factors ◽  
B Cell ◽  
Cell Lymphoma ◽  
B Cell Lymphoma ◽  
Treatment Method ◽  
Population Based ◽  
Cancer Specific Survival ◽  
Internal Validation ◽  
Large B Cell Lymphoma ◽  
Large B Cell

Abstract Background: Spinal diffuse large B-cell lymphoma (DLBCL) was a rare and malignant tumor, while few studies researched the prognostic factors. The prognostic factors which might have impacts on spinal DLBCL was not clear. Although chemotherapy was recognized as an optimal treatment method, but the curative effect of radiotherapy and surgery were controversial. Methods: The records of patients with spinal DLBCL were selected from the SEER database from 1991 to 2016. The incidence obtained by database was analyzed by Joinpoint Regression Program. The optimal cut-off values of age and year of diagnosis were identified by X-tail program. Univariate and multivariate survival analysis were calculated to identify independent prognostic factors. Prognostic factors were included to predict the survival possibility compared with 5 years of overall (OS) and cancer-specific survival (CSS) via the new nomograms. Results: A total of 917 patients were enrolled. Age, year of diagnosis and chemotherapy were demonstrated as independent prognostic factors for CSS and OS, and primary site was another independent prognostic factor for CSS. However, radiotherapy and surgery might be ineffective in survival. All factors were included to generate the nomograms for CSS and OS. The concordance indices (C-index) for internal validation of OS and CSS prediction were 0.697 (95%CI: 0.662-0.732) and 0.709 (95%CI: 0.692- 0.727) respectively. Conclusions: Age and year of diagnosis are closely associated with the prognosis of spinal DLBCL, and chemotherapy is an ideal treatment modality. The new nomogram is a favourable tool to evaluate the survival possibility, and is benefit for the oncologist to make clinical decisions.

scholarly journals A Novel Nomogram for Predicting Cancer-Specific Survival in Patients With Spinal Chordoma: A Population-Based Analysis

2021 ◽  
Vol 20 ◽  
pp. 153303382110365
Author(s):  
Zhangheng Huang ◽  
Zhiyi Fan ◽  
Chengliang Zhao ◽  
He Sun
Keyword(s):  
Prognostic Factors ◽  
Area Under The Curve ◽  
Risk Groups ◽  
Population Based ◽  
Disease Stage ◽  
Survival Prediction ◽  
Cancer Specific Survival ◽  
Spinal Chordoma ◽  
Prediction Of Prognosis ◽  
High Degree

Background: Chordoma is a rare malignant bone tumor, and the survival prediction for patients with chordoma is difficult. The objective of this study was to construct and validate a nomogram for predicting cancer-specific survival (CSS) in patients with spinal chordoma. Methods: A total of 316 patients with spinal chordoma were identified from the SEER database between 1998 and 2015. The independent prognostic factors for patients with spinal chordoma were determined by univariate and multivariate Cox analyses. The prognostic nomogram was established for patients with spinal chordoma based on independent prognostic factors. Furthermore, we performed internal and external validations for this nomogram. Results: Primary site, disease stage, histological type, surgery, and age were identified as independent prognostic factors for patients with spinal chordoma. A nomogram for predicting CSS in patients with spinal chordoma was constructed based on the above 5 variables. In the training cohort, the area under the curve for predicting 1-, 3-, and 5-year CSS were 0.821, 0.856, and 0.920, respectively. The corresponding area under the curve in the validation cohort were 0.728, 0.804, and 0.839, respectively. The calibration curves of the nomogram showed a high degree of agreement between the predicted and the actual results, and the decision curve analysis further demonstrated the satisfactory clinical utility of the nomogram. Conclusions: The prognostic nomogram provides a considerably more accurate prediction of prognosis for patients with spinal chordoma. Clinicians can use it to categorize patients into different risk groups and make personalized treatment methods.

CLINICAL AND PATHOLOGIC DESCRIPTION OF PRIMARY RETROPERITONEAL TUMORS IN THE GENERAL HOSPITAL DE SEGOVIA, SPAIN

2011 ◽  
Vol 22 ◽  
pp. S15-S16
Author(s):  
Cecilia Edineth Camero-Zavaleta ◽  
Jose Javier Moreno-Palomares ◽  
Pilar Ortega de la Obra ◽  
Sonia Martín ◽  
Maravillas Carralón ◽  
...  
Keyword(s):  
General Hospital ◽  
Retroperitoneal Tumors ◽  
Primary Retroperitoneal ◽  
Primary Retroperitoneal Tumors

scholarly journals Nomogram for predicting the overall survival and cancer-specific survival of patients with extremity liposarcoma: a population-based study

BMC Cancer ◽  
2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Lin Ye ◽  
Chuan Hu ◽  
Cailin Wang ◽  
Weiyang Yu ◽  
Feijun Liu ◽  
...  
Keyword(s):  
Overall Survival ◽  
Prognostic Factors ◽  
Area Under The Curve ◽  
Risk Groups ◽  
Population Based ◽  
Cancer Specific Survival ◽  
Kaplan Meier ◽  
Extremity Soft Tissue Sarcoma ◽  
Individual Survival ◽  
Size Grade

Abstract Background Extremity liposarcoma represents 25% of extremity soft tissue sarcoma and has a better prognosis than liposarcoma occurring in other anatomic sites. The purpose of this study was to develop two nomograms for predicting the overall survival (OS) and cancer-specific survival (CSS) of patients with extremity liposarcoma. Methods A total of 2170 patients diagnosed with primary extremity liposarcoma between 2004 and 2015 were extracted from the Surveillance, Epidemiology, and End Results (SEER) database. Univariate and multivariate Cox analyses were performed to explore the independent prognostic factors and establish two nomograms. The area under the curve (AUC), C-index, calibration curve, decision curve analysis (DCA), Kaplan-Meier analysis, and subgroup analyses were used to evaluate the nomograms. Results Six variables were identified as independent prognostic factors for both OS and CSS. In the training cohort, the AUCs of the OS nomogram were 0.842, 0.841, and 0.823 for predicting 3-, 5-, and 8-year OS, respectively, while the AUCs of the CSS nomogram were 0.889, 0.884, and 0.859 for predicting 3-, 5-, and 8-year CSS, respectively. Calibration plots and DCA revealed that the nomogram had a satisfactory ability to predict OS and CSS. The above results were also observed in the validation cohort. In addition, the C-indices of both nomograms were significantly higher than those of all independent prognostic factors in both the training and validation cohorts. Stratification of the patients into high- and low-risk groups highlighted the differences in prognosis between the two groups in the training and validation cohorts. Conclusion Age, sex, tumor size, grade, M stage, and surgery status were confirmed as independent prognostic variables for both OS and CSS in extremity liposarcoma patients. Two nomograms based on the above variables were established to provide more accurate individual survival predictions for extremity liposarcoma patients and to help physicians make appropriate clinical decisions.

scholarly journals Retroperitoneal Lipoma Arising from the Urinary Bladder

Rare Tumors ◽  
2009 ◽  
Vol 1 (1) ◽  
pp. 34-35 ◽  
Author(s):  
Shingo Ukita ◽  
Masafumi Koshiyama ◽  
Megumi Ohnaka ◽  
Naoyuki Miyagawa ◽  
Yukio Yamanishi ◽  
...  
Keyword(s):  
Magnetic Resonance Imaging ◽  
Urinary Bladder ◽  
Cystic Teratoma ◽  
Malignant Neoplasms ◽  
Resonance Imaging ◽  
Retroperitoneal Tumors ◽  
Magnetic Resonance Imaging Mri ◽  
Primary Retroperitoneal ◽  
Adipose Cells ◽  
Primary Retroperitoneal Tumors

Retroperitoneal benign lipomas are extremely rare and represent about 2.9% of all primary retroperitoneal tumors. About 80% of the tumors in the retroperitoneal cavities are malignant neoplasms. We experienced a case of a retroperitoneal lipoma simulating an ovarian mature cystic teratoma. A diagnosis was correctly made by magnetic resonance imaging (MRI) prior to surgery, and a total tumorectomy was performed. The retroperitoneal lipoma was recognized to have arisen from the urinary bladder. Histological sections revealed a tumor consisting of typical adipose cells without atypia. These types of lipomas should be carefully followed-up because they often recur and undergo malignant transformations.

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