scholarly journals The Clinicopathological Features and Overall Survival of Patients With Gastric Neuroendocrine Carcinoma

2021 ◽  
Vol 20 ◽  
pp. 153303382110553
Author(s):  
Bin Xu ◽  
Yuxin Chu ◽  
Qinyong Hu ◽  
Qibin Song
Keyword(s):  
Overall Survival ◽  
Prognostic Factors ◽  
Neuroendocrine Carcinoma ◽  
Cox Regression ◽  
Early Stage ◽  
Large Population ◽  
Clinicopathological Features ◽  
Retrospective Case ◽  
Cox Regression Analysis ◽  
Gastric Neuroendocrine Carcinoma

Objectives: Gastric neuroendocrine carcinoma (GNEC) is a class of rare histological subtypes in gastric cancer (GC). This retrospective case-control study aimed to explore the clinicopathological features and overall survival (OS) of patients with GNEC. Methods: A large population of GNEC and intestinal-type GC (IGC) patients were extracted from the Surveillance, Epidemiology, and End Results (SEER) database. The 1:1 propensity score matching (PSM) analysis was initiated to adjust the confounders between GNEC and IGC cohorts. Kaplan-Meier (KM) plots with log-rank tests were used to compare the survival differences in GNEC versus IGC. Additionally, Cox proportional hazard regression models were adopted to characterize the prognostic factors relevant to OS of the GNEC patients. Results: An entity of 4596 patients were collected, including 3943 (85.8%) IGC patients and 653 (14.2%) GNEC patients. The PSM analysis well-balanced all confounders in GNEC versus IGC (all P > .05). The KM plots showed that GNEC had significantly superior OS to IGC both before and after PSM analysis. Before PSM, the median OS was 52 (33.6-70.4) months in GNEC versus 32 (29.3-34.7) months in IGC ( P  =  .0015). After PSM, the median OS was 26 (18.3-33.7) months in GNEC versus 21 (17.7-24.3) months in IGC ( P  =  .0039). Stratified analysis indicated that GNEC had superior survivals to IGC in early stage patients and those who received surgery. In Cox regression analysis, age ≥ 60, tumor size > 50 mm, stage II-IV, T2, and N3 were independent risk factors for the GNEC patients (hazard ratio [HR]>1, P < .05). By contrast, year 2010 to 2015, female, and surgery were independent protective factors for these patients (HR < 1, P < .05). Conclusions: GNEC has unique clinicopathological features quite different from IGC and may have a superior survival to IGC in early stage patients. The prognostic factors identified here may assist the clinicians to more individually treat these patients.

Nomogram to predict survival of pulmonary large-cell neuroendocrine carcinoma after surgery

2020 ◽  
Author(s):  
Qian Huang ◽  
Jie Liu ◽  
Huifang Cai ◽  
Qi Zhang ◽  
Lina Wang
Keyword(s):  
Overall Survival ◽  
Regression Analysis ◽  
Prognostic Factors ◽  
Neuroendocrine Carcinoma ◽  
Cox Regression ◽  
Predictive Performance ◽  
Large Cell ◽  
Large Cell Neuroendocrine Carcinoma ◽  
Operating Characteristics ◽  
Cox Regression Analysis

Abstract Background Pulmonary large-cell neuroendocrine carcinoma (LCNEC) is a rare primary malignant tumor with a poor prognosis, and surgery is the main treatment. However, there are no effective predictive tools to assess the prognosis of postoperative patients. Our aim is to identify prognostic factors and construct nomogram to accurately assess prognosis. Methods Patients were identified in the Surveillance, Epidemiology, and End Results (SEER) database. Based on the results of Cox regression analysis, construct nomogram for predicting 1-, 3-, and 5-year survival. The predictive performance of nomogram was evaluated using the consistency index (C-index), the area under the receiver operating characteristics curve (AUC), and calibration plots. Results We finally screened 903 patients with pulmonary LCNEC who underwent surgery. The Cox regression analysis showed that age, SEER stage, T stage, N stage, M stage, tumor size, and chemotherapy were independent prognostic factors for overall survival (P<0.05). The C-index of the nomogram is 0.681 on the training cohort and 0.675 on the validation cohort. The AUC and calibration plots show that the nomogram has good performance. Conclusion We constructed and validated nomogram for predicting 1-, 3-, and 5-year survival of patients with pulmonary LCNEC after surgery. Our nomogram provides reference information for assessing the overall survival of these patients.

Lymphadenectomy in Early-Stage Intermediate-/High-Risk Endometrioid Endometrial Cancer: Clinical Characteristics and Outcomes in an Australian Cohort

2017 ◽  
Vol 27 (7) ◽  
pp. 1379-1386 ◽  
Author(s):  
Rhonda Farrell ◽  
Suzanne C. Dixon ◽  
Jonathan Carter ◽  
Penny M. Webb
Keyword(s):  
Overall Survival ◽  
Endometrial Cancer ◽  
High Risk ◽  
Adjuvant Treatment ◽  
Cox Regression ◽  
Early Stage ◽  
Cox Regression Analysis ◽  
Cancer Study ◽  
Stage Ib ◽  
Australian Cohort

ObjectiveThe role of lymphadenectomy (LND) in early-stage endometrial cancer (EC) remains controversial. Previous studies have included low-risk patients and nonendometrioid histologies for which LND may not be beneficial, whereas long-term morbidity after LND is unclear. In a large Australian cohort of women with clinical early-stage intermediate-/high-risk endometrioid EC, we analyzed the association of LND with clinicopathological characteristics, adjuvant treatment, survival, patterns of disease recurrence, and morbidity.Materials and MethodsFrom a larger prospective study (Australian National Endometrial Cancer Study), we analyzed data from 328 women with stage IA grade 3 (n = 63), stage IB grade 1 to 3 (n = 160), stage II grade 1 to 3 (n = 71), and stage IIIC1/2 grade 1 to 3 (n = 31/3) endometrioid EC. Overall survival (OS) was estimated using Kaplan-Meier methods. The association of LND with OS was assessed using Cox regression analysis adjusted for age, stage, grade, and adjuvant treatment. The association with risk of recurrent disease was analyzed using logistic regression adjusted for age, stage, and grade. Morbidity data were analyzed using χ2 tests.ResultsMedian follow-up was 45.8 months. Overall survival at 3 years was 93%. Lymphadenectomy was performed in 217 women (66%), 16% of this group having positive nodes. Median node count was 12. There were no significant differences in OS between LND and no LND groups, or by number of nodes removed. After excluding stage IB grade 1/2 tumors, there was no association between LND and OS among a “high-risk” group of 190 women with a positive node rate of 24%. However, a similar cohort (n = 71) of serous EC in the Australian National Endometrial Cancer Study had improved survival after LND. Women who underwent LND had significantly higher rates of critical events (5% vs 0%, P = 0.02) and lymphoedema (23% vs 4%, P < 0.0001).ConclusionsIn this cohort with early-stage intermediate-/high-risk endometrioid EC, LND did not improve survival but was associated with significantly increased morbidity.

scholarly journals Incidence, Survival, and Associated Factors Estimation in Osteosarcoma Patients with Lung Metastasis: A Single-center Experience of 11 Years in Tianjin, China

2021 ◽  
Author(s):  
Chao Zhang ◽  
Haixiao Wu ◽  
Guijun Xu ◽  
Wenjuan Ma ◽  
Lisha Qi ◽  
...  
Keyword(s):  
Risk Factors ◽  
Overall Survival ◽  
Regression Analysis ◽  
Prognostic Factors ◽  
Lung Metastasis ◽  
Associated Factors ◽  
Cox Regression ◽  
Cancer Center ◽  
Single Center ◽  
Cox Regression Analysis

Abstract Background: Osteosarcoma is the most common primary malignant bone tumor. The current study was conducted to describe the general condition of patients with primary osteosarcoma in a single cancer center in Tianjin, China and to investigate the associated factors in osteosarcoma patients with lung metastasis. Methods: From February 2009 to October 2020, patients from Tianjin Medical University Cancer Institute and Hospital, China were retrospectively analyzed. The Kaplan–Meier method was used to evaluate the overall survival of osteosarcoma patients. Prognostic factors of patients with osteosarcoma were identified by the Cox proportional hazard regression analysis. Risk factor of lung metastasis in osteosarcoma were investigated by the logistic regression model. Results: A total of 203 patients were involved and 150 patients were successfully followed up for survival status. The 5-year survival rate of osteo-sarcoma patients was 70.0%. Surgery, bone and lung metastasis were the significant prognostic factors in multivariable Cox regression analysis. Twenty-one (10.3%) patients showed lung metastasis at the diagnosis of osteosarcoma and 67 (33%) lung metastases during the later course. T3 stage (OR=11.415, 95%CI 1.362-95.677, P=0.025) and synchronous bone metastasis (OR=6.437, 95%CI 1.69-24.51, P=0.006) were risk factors of synchronous lung metastasis occurrence. Good necrosis (≥90%, OR=0.097, 95%CI 0.028-0.332, P=0.000) and elevated Ki-67 (≥50%, OR=4.529, 95%CI 1.241-16.524, P=0.022) were proved to be significantly associated with metachronous lung metastasis occurrence. Conclusion: The overall survival, prognostic factors and risk factors for lung metastasis in this single center provided insight about osteosarcoma management.

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 Prognostic Factors and Clinical Characteristics of Patients with Primary Duodenal Adenocarcinoma: A Single-Center Experience from China

2016 ◽  
Vol 2016 ◽  
pp. 1-6 ◽  
Author(s):  
Qing-Long Jiang ◽  
Xiang-Hui Huang ◽  
Ying-Tai Chen ◽  
Jian-Wei Zhang ◽  
Cheng-Feng Wang
Keyword(s):  
Prognostic Factors ◽  
Lymph Node ◽  
Vascular Invasion ◽  
Curative Resection ◽  
Cox Regression ◽  
Early Stage ◽  
Palliative Surgery ◽  
Duodenal Adenocarcinoma ◽  
Cox Regression Analysis ◽  
Survival Difference

Aim. To evaluate the clinical risk factors influencing overall survival of patients with duodenal adenocarcinoma after potentially curative resection. Methods. A series of 201 patients with primary duodenal adenocarcinoma who underwent surgery from 1999 to 2014 at Chinese Medical Academic Cancer Hospital were studied by retrospective chart review and subsequent telephone follow-up. Results. Resectional surgery was performed in 138 of the 201 patients to attempt curative treatment, while 63 patients were treated with palliative surgery. Median survival of patients who underwent resectional operation was 57 months, whereas that of patients who had palliative surgery was shorter, 7 months (p<0.001). For patients who underwent radical resection, the overall 1-, 3-, and 5-year survival rates were 87.3, 59.1, and 44.1%, respectively. Multivariate Cox regression analysis revealed that lymph node metastasis (HR 31.76, 2.14 to 470.8; p=0.012) and vascular invasion (HR 3.75, 1.24 to 11.38; p=0.020) were independent prognostic factors negatively associated with survival in patients undergoing curative resection. There was no survival difference between the groups treated by the pancreaticoduodenectomy (n=20) and limited resection (n=10) for early-stage duodenal adenocarcinoma (p=0.704). Conclusions. Duodenal adenocarcinoma is a rare disease. Curative resection is the best treatment for appropriate patients. Lymph node metastases and vascular invasion are negative prognostic factors.

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 Nomogram Predict Overall Survival of Patients with Thymic Epithelial Tumors After Surgery

2021 ◽  
Author(s):  
Yang-Yu Huang ◽  
Lei-Lei Wu ◽  
Xuan Liu ◽  
Shen-Hua Liang ◽  
Guo-Wei Ma
Keyword(s):  
Overall Survival ◽  
Patient Population ◽  
Cox Regression ◽  
Early Stage ◽  
Predictive Ability ◽  
Net Benefit ◽  
Thymic Epithelial Tumors ◽  
Cox Regression Analysis ◽  
Epithelial Tumors ◽  
Novel Approach

Abstract Background: Hematological indicators and clinical characteristics play an important role in the evaluation of the progression and prognosis of thymic epithelial tumors. Therefore, we aimed to combine these potential indicators to establish a prognostic nomogram to determine the overall survival (OS) of patients with thymic epithelial tumors undergoing thymectomy. Methods: This retrospective study was conducted on 167 patients who underwent thymectomy between May 2004 and August 2015. Cox regression analysis were performed to determine the potential indicators related to prognosis and combine these indicators to create a nomogram for visual prediction. The prognostic predictive ability of the nomogram was evaluated using the consistency index (C-index), receiver operating characteristic (ROC) curve, and risk stratification. Decision curve analysis was used to evaluate the net benefits of the model. Results: Preoperative albumin levels, neutrophil-to-lymphocyte ratio (NLR), T stage, and underlying diseases (with hypertension and/or diabetes) were included in the nomogram. In the training cohort, the nomogram showed a stronger prognostic predictive ability than the T staging (C index: 0.886 vs 0.725). Calibration curves for the overall survival (OS) were in good agreement with the standard lines in cohorts. The net benefit of the nomogram was higher than that of the T staging model. Conclusions: The nomogram showed better performance in predicting the prognosis and survival of this patient population than the T staging prediction model. And it has potential to identify high-risk patients at an early stage. This is a relatively novel approach for the prediction of OS in this patient population.

scholarly journals SURVIVAL OF PATIENTS WITH COLORECTAL CANCER IN A CANCER CENTER

2020 ◽  
Vol 57 (2) ◽  
pp. 172-177
Author(s):  
Samuel AGUIAR JUNIOR ◽  
Max Moura de OLIVEIRA ◽  
Diego Rodrigues Mendonça e SILVA ◽  
Celso Abdon Lopes de MELLO ◽  
Vinicius Fernando CALSAVARA ◽  
...  
Keyword(s):  
Colorectal Cancer ◽  
Overall Survival ◽  
Prognostic Factors ◽  
Cox Regression ◽  
Early Stage ◽  
Age Groups ◽  
Rectal Adenocarcinoma ◽  
Disease Stage ◽  
Cancer Center ◽  
Risk Of Death

ABSTRACT BACKGROUND: Hospital-based studies recently have shown increases in colorectal cancer survival, and better survival for women, young people, and patients diagnosed at an early disease stage. OBJECTIVE: To describe the overall survival and analyze the prognostic factors of patients treated for colorectal cancer at an oncology center. METHODS: The analysis included patients diagnosed with colon and rectal adenocarcinoma between 2000 and 2013 and identified in the Hospital Cancer Registry at A.C.Camargo Cancer Center. Overall 5-year survival was estimated using the Kaplan-Meier method, and prognostic factors were evaluated in a Cox regression model. Hazard ratios (HR) are reported with 95% confidence intervals (CI). RESULTS: Of 2,279 colorectal cancer cases analyzed, 58.4% were in the colon. The 5-year overall survival rate for colorectal cancer patients was 63.5% (65.6% and 60.6% for colonic and rectal malignancies, respectively). The risk of death was elevated for patients in the 50-74-year (HR=1.24, 95%CI =1.02-1.51) and ≥75-year (HR=3.02, 95%CI =2.42-3.78) age groups, for patients with rectal cancer (HR=1.37, 95%CI =1.11-1.69) and for those whose treatment was started >60 days after diagnosis (HR=1.22, 95%CI =1.04-1.43). The risk decreased for patients diagnosed in recent time periods (2005-2009 HR=0.76, 95%CI =0.63-0.91; 2010-2013 HR=0.69, 95%CI =0.57-0.83). CONCLUSION: Better survival of patients with colorectal cancer improves with early stage and started treatment within 60 days of diagnosis. Age over 70 years old was an independent factor predictive of a poor prognosis. The overall survival increased to all patients treated in the period 2000-2004 to 2010-2013.

Treatment of cancer of the anal canal. The Hamburg experience

2006 ◽  
Vol 24 (18_suppl) ◽  
pp. 14062-14062
Author(s):  
V. Rudat ◽  
S. Streller ◽  
D. Rades
Keyword(s):  
Overall Survival ◽  
Prognostic Factors ◽  
Anal Canal ◽  
Survival Data ◽  
Cox Regression ◽  
Haemoglobin Concentration ◽  
International Standards ◽  
Surgical Approaches ◽  
Rank Test ◽  
Cox Regression Analysis

14062 Background: To compare surgical and non-surgical treatment approaches for anal cancer and to identify prognostic factors. Methods: Survival data of 214 patients with cancer of the anal canal were reviewed who were referred for radiotherapy to the Department of Radiation Oncology of the University of Hamburg, Germany between 1/88 and 3/05. 75 patients received a definitive radiochemotherapy (RCT) with 5-FU and MMC according to international standards, 43 an operation followed by RCT (OP+RCT), 37 an operation followed by irradiation (OP+RT), 25 an irradiation alone (RT) and 34 an operation alone because they refused a planned adjuvant RCT or RT. The operations had been performed by different referring hospitals in and around Hamburg. Results: The median follow-up time of the living patients was 67 months (1–200 months). The 10 year overall survival rate for RCT was 0.62 (95%CI 0.46–0.77), for OP+RCT 0.65 (95%CI 0.47–0.83), for OP+RT 0.55 (95%CI 0.37–0.74), for OP alone 0.51 (95%CI 0.26–0.75) and for RT alone 0.27 (95%CI 0.05–0.48). There was no statistical difference between the overall survival of patients who received RCT, OP+RCT and OP+RT according to Kaplan Meier analysis (log rank test, p = 0.71). Cox regression analysis was used to examine the simultaneous influence of the prognostic factors T, N, age, haemoglobin concentration before radiotherapy, gender, and grading on the survival of patients who were treated with RCT. The model (p = 0.015) revealed T and N to be the only statistically significant prognostic factors. Conclusions: The different surgical and non-surgical approaches to treat cancer of the anal canal in Hamburg obviously reflect the individual preferences of the different physicians. Statistical analysis did not show a benefit of an OP added to RCT. Prognostic factors for survival after RCT were the T- and N-stage. No significant financial relationships to disclose.

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