scholarly journals Nomogram predicted overall survival of patients with neuroendocrine carcinoma of the breast

2020 ◽  
Author(s):  
Wenwen Tian ◽  
Xinhua Xie ◽  
Yanan Kong ◽  
Peng Liu ◽  
Weige Tan ◽  
...  
Keyword(s):  
Overall Survival ◽  
Neuroendocrine Carcinoma ◽  
Operating Characteristic ◽  
Roc Curves ◽  
Population Based ◽  
Cancer Center ◽  
Breast Cancers ◽  
Seer Database ◽  
Carcinoma Of The Breast ◽  
N Stage

Abstract Background For primary neuroendocrine carcinoma of breast was a very rare subtype in breast cancers, its prognosis was still controversial and there was no independent standard for its treatment. The purpose of our retrospective study was to construct a nomogram to predict the overall survival (OS) of patients with neuroendocrine carcinoma of the breast. Methods 150 patients of training cohort were collected from Surveillance, Epidemiology, and End Results (SEER) database diagnosed between 2003 and 2015, and 93 patients of verification cohort were enrolled from Sun Yat-sen University Cancer Center (Guangzhou, China) diagnosed between 2004 and 2018. The nomogram was constructed uniting three significantly risk factors of overall survival identified by univariate and multivariate analysis and then validated using receiver operating characteristic (ROC) curves for discrimination, calibration plots and the decision curves analysis (DCA). Results Age, N stage and PR status were closely and significantly related to overall survival in patients with breast neuroendocrine carcinoma. The C-index of nomogram in the training and verification cohorts are 0.775 (95% CI, 0.784 to 0.615) and 0.760 (95% CI, 0.705 to 0.800) respectively. Calibration plots of practical and predicted possibility for the nomogram demonstrated that the predictive 5-year overall survival rate was in accordance with the actual overall survival probability in both sets. Moreover, the decision curves (DCA) also expressed pretty clinical benefit of the nomogram across a range of high-risk threshold. Conclusion This novel population-based nomogram may help with treatment decisions in patients with neuroendocrine carcinoma of the breast (NEBC).

Overall Survival Rate Analysis For Risk Factors In Women With Neuroendocrine Carcinoma of The Cervix Using Surveillance, Epidemiology, And End Results (SEER) Database

2021 ◽  
Author(s):  
Ziran Yin ◽  
Xiumin Huang
Keyword(s):  
Overall Survival ◽  
Lymph Nodes ◽  
Neuroendocrine Carcinoma ◽  
Cox Regression ◽  
Analysis Data ◽  
Seer Database ◽  
Regional Lymph Nodes ◽  
Data Set ◽  
Cox Models ◽  
Cox Regression Analysis

Abstract Background: Neuroendocrine carcinoma of the cervix is rare and aggressive disease, of which prognosis information and the effectiveness of the therapies is unclear.Methods: A retrospective study using data from the SEER database for the first diagnosed Neuroendocrine carcinoma of the cervix patients was conducted. We performed univariate and multivariate Cox models to screen for independent prognostic factors for overall survival. Subgroup analysis and sensitive analysis were performed for further study, then again univariate and multivariate analyses of Cox regression analysis were performed based on the sensitivity analysis data set.Results: A total of 250 Neuroendocrine carcinoma of the cervix cases was included, tumor subtype, age, marriage, race, number of regional lymph nodes, number of positive lymph nodes, radiotherapy, surgery, and FIGO stage were all factors affecting OS, and multivariate analysis identified FIGO staging (HR, 2.4; 95% CI, 1.505-3.828, P < 0.001) and surgery (HR, 0.467; 95% CI, 0.358-0.609, P < 0.001) treatment as independent indicators. With respect to the factors associated with treatments, we found that patients who underwent surgery (yes vs. no vs. unknown) or radiation (yes vs. no) experienced prolonged survival, both P < 0.001Conclusions: Our investigation shows that for patients with NECC surgery seems to be the effective treatment. Chemotherapy cannot improve the prognosis of NECC patients, and the effectiveness of radiation should be further verified.

scholarly journals Epidemiology and Survival of Patients With Brainstem Gliomas: A Population-Based Study Using the SEER Database

2021 ◽  
Vol 11 ◽  
Author(s):  
Huanbing Liu ◽  
Xiaowei Qin ◽  
Liyan Zhao ◽  
Gang Zhao ◽  
Yubo Wang
Keyword(s):  
Overall Survival ◽  
Proportional Hazards Model ◽  
Population Based ◽  
Cox Proportional Hazards ◽  
Cox Proportional Hazards Model ◽  
Prognostic Indicators ◽  
Seer Database ◽  
Glial Tumor ◽  
Anaplastic Ependymoma ◽  
Common Diagnosis

BackgroundBrainstem glioma is a primary glial tumor that arises from the midbrain, pons, and medulla. The objective of this study was to determine the population-based epidemiology, incidence, and outcomes of brainstem gliomas.MethodsThe data pertaining to patients with brainstem gliomas diagnosed between 2004 and 2016 were extracted from the SEER database. Descriptive analyses were conducted to evaluate the distribution and tumor-related characteristics of patients with brainstem gliomas. The possible prognostic indicators were analyzed by Kaplan-Meier curves and a Cox proportional hazards model.ResultsThe age-adjusted incidence rate was 0.311 cases per 100,000 person-years between 2004 and 2016. A total of 3387 cases of brainstem gliomas were included in our study. Most of the patients were white and diagnosed at 5-9 years of age. The most common diagnosis confirmed by histological review was ependymoma/anaplastic ependymoma. The median survival time was 24 months. Patients with tumors less than 3 cm in size had a better prognosis. Surgery was effective at improving overall survival. There was no evidence that radiotherapy and chemotherapy improved overall survival.ConclusionBrainstem gliomas can be diagnosed at any age. Ependymoma/anaplastic ependymoma is the most common pathological diagnosis. The prognosis is poor, and timely diagnosis and surgery are effective at improving the prognosis. We suggest that more attention should be given to the treatment of patients with brainstem gliomas.

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 Construction of a nomogram to predict overall survival for patients with lung large cell neuroendocrine carcinoma: analysis of the SEER database

2020 ◽  
Author(s):  
Dong Han ◽  
Fei Gao ◽  
Nan Li ◽  
Hao Wang ◽  
Qi Fu
Keyword(s):  
Overall Survival ◽  
Survival Rate ◽  
Neuroendocrine Carcinoma ◽  
Cox Regression ◽  
Risk Group ◽  
Multivariable Analysis ◽  
Large Cell ◽  
Large Cell Neuroendocrine Carcinoma ◽  
Seer Database ◽  
Cox Regression Analysis

Abstract Background Lung large cell neuroendocrine carcinoma (L-LCNEC) has a poor prognosis with lower survival rate than other NSCLC patients. The estimation of an individual survival rate is puzzling. The main purpose of this study was to establish a more accurate model to predict the prognosis of L-LCNEC.Methods Patients aged 18 years or older with L-LCNEC were identified from the Surveillance, Epidemiology and End Results (SEER) database from 2004 to 2015. Cox regression analysis was used to identify factors associated with survival time. The results were used to construct a nomogram to predict 1-year, and 3-year survival probability in L-LCNEC patients. Overall survival (OS) were compared between low risk group and high risk group by the Kaplan–Meier analysis.Results A total of 3216 patients were included in the study. We randomly divided all included patients into 7:3 training and validating groups. In multivariable analysis of training cohort, age at diagnosis, sex, stage of tumor, surgical treatment, radiotherapy and chemotherapy were independent prognostic factors for OS. All these factors were incorporated to construct a nomogram, which was tested in the validating cohort.Conclusions we constructed a visual nomogram prognosis model, which had the potential to predict the 1-year and 3-year survival rate of L-LCNEC patients, and could be used as an assistant prediction tool in clinical practice.

scholarly journals Development and Validation of Nomograms to Predict Prognosis of Oral and Oropharyngeal Mucoepidermoid Carcinoma: A SEER-Based Study

2020 ◽  
Author(s):  
muyuan liu ◽  
Litian Tong ◽  
Manbin Xu ◽  
Xiang Xu ◽  
Bin Liang ◽  
...  
Keyword(s):  
Overall Survival ◽  
Prognostic Factors ◽  
Mucoepidermoid Carcinoma ◽  
Cox Regression ◽  
Seer Database ◽  
Disease Specific Survival ◽  
Cox Regression Analysis ◽  
T Stage ◽  
N Stage ◽  
Disease Specific

Abstract Background: Due to the low incidence of mucoepidermoid carcinoma, there lacks sufficient studies for determining optimal treatment and predicting prognosis. The purpose of this study was to develop prognostic nomograms, to predict overall survival and disease-specific survival (DSS) of oral and oropharyngeal mucoepidermoid carcinoma patients, using the National Cancer Institute’s Surveillance, Epidemiology, and End Results (SEER) database. Methods: Clinicopathological and follow-up data of patients diagnosed with oral and oropharyngeal mucoepidermoid carcinoma between 2004 and 2017 were collected from the SEER database. The Kaplan-Meier method with the log-rank test was employed to identify single prognostic factors. Multivariate Cox regression was utilized to identify independent prognostic factors. C-index, area under the ROC curve (AUC) and calibration curves were used to assess performance of the prognostic nomograms. Results: A total of 1230 patients with oral and oropharyngeal mucoepidermoid carcinoma were enrolled in the present study. After multivariate Cox regression analysis, age, sex, tumor subsite, T stage, N stage, M stage, grade and surgery were identified as independent prognostic factors for overall survival. T stage, N stage, M stage, grade and surgery were identified as independent prognostic factors for disease-specific survival. Nomograms were constructed to predict the overall survival and disease-specific survival based on the independent prognostic factors. The fitted nomograms possessed excellent prediction accuracy, with a C-index of 0.899 for OS prediction and 0.893 for DSS prediction. Internal validation by computing the bootstrap calibration plots, using the validation set, indicated excellent performance by the nomograms. Conclusion: The prognostic nomograms developed, based on individual clinicopathological characteristics, in the present study, accurately predicted the overall survival and disease-specific survival of patients with oral and oropharyngeal mucoepidermoid carcinoma.

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.

scholarly journals Epidemiology and survival outcome of adult kidney, bladder, and prostate rhabdomyosarcoma: A SEER database analysis

Rare Tumors ◽  
2020 ◽  
Vol 12 ◽  
pp. 203636132097740
Author(s):  
Sagar R Patel ◽  
Caitlin P Hensel ◽  
Jiaxian He ◽  
Nicolas E Alcalá ◽  
James T Kearns ◽  
...  
Keyword(s):  
Overall Survival ◽  
Prognostic Factors ◽  
Survival Data ◽  
Adult Population ◽  
Multivariable Analysis ◽  
Population Based ◽  
Soft Tissue Tumors ◽  
Seer Database ◽  
Adult Kidney ◽  
Population Demographic

Rhabdomyosarcoma (RMS) is rare in adulthood, accounting for 2%–5% of adult soft tissue tumors, and less than 20% occur in genitourinary organs. Given its rarity, survival data on adult kidney, bladder, and prostate RMSs is limited. In this population-based analysis, we performed an analysis of all adult RMS cases reported in Surveillance, Epidemiology, and End Results (SEER) database to understand prognostic factors among kidney, bladder, and prostate RMS. A query of the SEER database was performed from 1973 to 2016 for patients >18 of age with RMS. The final cohort consisted of 14 kidney, 35 bladder, and 21 prostate RMS cases in the adult population. Demographic, treatment, and survival data were obtained. Analysis was performed using Fisher’s exact test, survival analysis, and model. The median (range) age of diagnosis for adult bladder RMS was 65 years old (19–84) compared to 52.5 (28–68) and 42 (19–87) for kidney and prostate ( p = 0.007). About 78.6% of patients underwent surgical intervention. Five-year overall survival (OS) for adult kidney, bladder, and prostate RMS are 17.1% (2.9–41.6%), 22.2% (9.4–38.4%), and 33.0 (12.8–55.0%), respectively. OS was not statistically associated with primary site ( p = 0.209). On multivariable analysis, compared to adult bladder RMS, kidney RMS had a higher incidence of mortality (HR: 2.16, 95% CI 1.03–4.53, p = 0.041). Incidence of mortality from prostate RMS was not significantly different from bladder RMS (HR: 0.70, 95% CI 0.30–1.65, p = 0.411). Extent of disease (HR: 5.17, 95% CI 2.09–12.79, p < 0.001) and older age (HR 1.03, 95% CI 1.01–1.04, p = 0.002) were adverse prognostic factors for OS. Overall survival at 5 years for adult kidney, bladder, and prostate RMS is poor. Localized disease and younger age are prognostic factors for improved outcomes in adult RMS. Hence, early diagnosis and intervention appear paramount to improved survival for this rare malignancy in adulthood.

scholarly journals A Population-Based Systematic Clinical Analysis With a Single-Center Case Series of Patients With Pulmonary Large Cell Neuroendocrine Carcinoma

2021 ◽  
Vol 12 ◽  
Author(s):  
Xu Sun ◽  
Yijun Wu ◽  
Jing Shen ◽  
Chang Han ◽  
Kai Kang ◽  
...  
Keyword(s):  
Neuroendocrine Carcinoma ◽  
Cox Regression ◽  
Case Series ◽  
Large Cell ◽  
Mortality Rates ◽  
Population Based ◽  
Large Cell Neuroendocrine Carcinoma ◽  
Rank Test ◽  
Seer Database ◽  
Incidence And Mortality

Background and ObjectivesThis study aims to conduct an updated systematic analysis of patients with pulmonary large cell neuroendocrine carcinoma (PLCNC) in recent decades, concerning incidence and mortality trends, demographics, treatments, survival and death causes.MethodsPatients who were diagnosed with PLCNC at the Peking Union Medical College Hospital (PUMCH) between 2000 to 2020 were retrospectively analyzed. The population-based Surveillance, Epidemiology, and End Results (SEER) database were also retrieved. Frequencies and average annual age-adjusted rates (AAR) of PLCNC patients were calculated and analyzed by Joint-point regression. Univariate and multivariate Cox regression were used for identifying prognostic factors. Predictive nomograms for overall survival (OS) and cancer-specific survival (CSS) were developed and then validated by calculating C-index values and drawing calibration curves. Survival curves were plotted using the Kaplan-Meier method and compared by log-rank test. Causes of death were also analyzed by time latency.ResultsA total of 56 PLCNC patients of the PUMCH cohort were included. Additionally, the PLCNC patients in the SEER database were also identified from different subsets. The AAR from 2001 to 2017 were 3.21 (95%CI: 3.12-3.30) per million. Its incidence and mortality rates in PLCNC patients increased at first but seemed to decline in recent years. Besides TNM stage and treatments, older age and male gender were independently associated with poorer survival, while marital status only affected CSS other than OS. The nomograms for OS and CSS presented great predictive ability and calibration performance. Surgery gave significantly more survival benefits to PLCNC patients, and chemotherapy might add survival benefits to stage II-IV. However, radiation therapy seemed to only improve stage III patients’ survival.ConclusionsThis study supported some previous studies in terms of incidence, survival, and treatment options. The mortality rates seemed to decline recently, after an earlier increase. Among PLCNC patients, most of the deaths occurred within the first five years, while other non-PLCNC diseases increased after that. Thus, careful management and follow-up of other comorbidities are of equal importance. Our study may partly solve the dilemma caused by PLCNC’s rarity and inspire more insights in future researches.

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