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【Objective】 To establish and verify a nomogram model of overall survival (OS) of prostate cancer patients based on the SEER data. 【Methods】 A total of 12 642 patients diagnosed with prostate cancer during 2010 and 2015 were extracted from the SEER database. Patients were randomly divided into the model group (n=8 850) and validation group (n=3 792). The independent risk factors for OS were analyzed with univariate Cox proportional risk regression, lasso regression and multivariate Cox proportional risk regression. A nomogram was constructed to predict the 1-year, 3-year and 5-year OS. The prediction potential of the model was evaluated with the consistency index (C-index), calibration curve and receiver operating characteristic (ROC) curve. 【Results】 Multivariate Cox regression analysis showed that age, T stage, N stage, M stage, bone metastasis, liver metastasis and regional lymphadenectomy were independent risk factors for OS (P<0.05). The seven factors were used to construct an OS nomogram model. The C-index of the modeling set was 0.750, and the area under the ROC curve (AUC) at 1, 3 and 5 years were 0.77, 0.77 and 0.76, respectively;the C-index of the validation set was 0.765, and the AUC at 1, 3 and 5 years were 0.83, 0.79 and 0.76, respectively. The calibration curves of the modelling set and validation set showed a good agreement with the actual survival prediction rate. Risk stratification of patients based on the nomogram model showed that the OS of patients in the high-risk group was significantly lower than that in the low-risk group (P<0.001). 【Conclusion】 The nomogram can be used to predict the prognosis of prostate cancer patients, and is important for individualized treatment plans.
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Objective To analyze the factors affecting the prognosis of soft tissue sarcomas originating from the mediastinum and lung using relevant data from the SEER database. Methods The data of 376 patients were collected from the SEER database, and were randomly divided into the train set (n=263) and validation set (n=113). The relationship between each variable and patient survival and prognosis was analyzed using the Kaplan-Meier method and Cox proportional risk regression to establish a nomogram, to predict the overall survival of patients. The calibration curves, consistency index, and ROC curves were used to evaluate the performance of the nomogram. Results Histological type, surgery, chemotherapy, tumor size, and tumor stage were the factors affecting the prognosis of primary mediastinal and pulmonary soft tissue sarcomas. The established nomogram could predict the 6-month, 1-year, and 2-year overall survival of patients, and the calibration curves showed good prediction accuracy with measured values. C index of the train set and validation set were 0.754 and 0.745, respectively. The areas under the curve of ROC were 0.849 and 0.924. Conclusion The nomogram established in this study can predict 6-month, 1-year, and 2-year overall survival in patients with primary mediastinal and pulmonary soft tissue sarcoma.
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Objective To investigate the independent risk factors affecting prognosis of patients with retinoblastoma (RB) and construct a nomogram to predict prognosis of patients with RB. Methods Data of 759 RB patients were collected from the SEER database. Patients were randomly assigned to the training group and validation group in a 7:3 ratio. Univariate and multivariate Cox proportional hazard regression analyses were used to determine the independent prognostic factors, based on which a nomogram was constructed. C index, calibration curve, and ROC curve were used to evaluate the predictive efficiency and calibration degree of the nomogram. Results Multivariate analysis identified independent risk factors associated with overall survival, namely, T stage and SEER stage. The C-index of SEER training set was 0.765 (95%CI: 0.744-0.786), the calibration curve was drawn, and the observed and predicted values overlapped well, indicating good consistency. The ROC curve showed that the nomogram could accurately predict three-year (AUC=0.743), five-year (AUC=0.734) and 10-year (AUC=0.720) survival rates of RB patients. Conclusion T stage and SEER stage are independent risk factors related to prognosis of RB patients, and the nomogram can accurately predict the three-year, five-year, and 10-year overall survival rates of patients.
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Objective To establish a new N-stage system combining the number of metastatic lymph nodes and the ratio of metastatic lymph nodes for postoperative M0 stage inflammatory breast cancer patients. Methods Based on the data of inflammatory breast cancer patients in the SEER database, the number of metastatic lymph nodes and the ratio of metastatic lymph nodes were calculated.A new N-staging system was established and compared with the 8th edition of AJCC TNM staging system of breast cancer.The nomograph prognostic model was constructed and validated. Results The prediction performance of the new N-staging system for postoperative survival of M0 inflammatory breast cancer patients was better than the traditional N-staging system.The nomograph prognostic model showed an excellent clinical efficacy with a consistency index of 0.711. Conclusion The new N-staging system has good predictive performance for postoperative survival of M0 inflammatory breast cancer patients and can accurately reflect the prognosis.
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Objective To explore the prognostic factors of primary mediastinal large B-cell lymphoma (PMBCL) and the effects of chemoradiotherapy versus chemotherapy alone on patients' prognosis before and after rituximab era. Methods We extracted the data of PMBCL patients diagnosed from 2001 to 2015 from SEER database. SEER Stat software was used to calculate the incidence rate. Kaplan-Meier method and Cox regression model were used to analyze the impact of various clinical variables on prognosis. Results We included 635 patients with PMBCL. Multivariate Cox regression analysis showed that age, stage and chemotherapy were independent prognostic factors. Kaplan-Meier survival analysis showed that OS of the patients receiving chemotherapy only in 2006-2015 was significantly better than that in 2001-2005 (χ2=10.002, P=0.002). The patients who received chemoradiotherapy had better OS than those who received chemotherapy alone from 2001 to 2005. The OS and DSS of patients receiving chemoradiotherapy were not significantly different from those of chemotherapy alone from 2006 to 2015. Conclusion The application of rituximab improves the long-term survival of PMBCL patients. The prognosis of patients who received chemoradiotherapy is comparable to that of chemotherapy alone from 2006 to 2015.
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Objective To construct a nomogram prognostic model for predicting the survival of patients with lung adenocarcinoma based on the large sample data from the SEER database. Methods We retrospectively analyzed the clinical data of patients who were diagnosed with lung adenocarcinoma from 2010 to 2015 in the SEER database. A nomogram model was created based on independent parameters influencing the prognosis of patients with lung adenocarcinoma using Lasso Cox regression analysis. The C-index and calibration curve were utilized to assess the ability to distinguish and calibrate the nomogram. NRI and DCA curves were used to evaluate the prediction ability and net benefit of the nomogram. Results A total of 15 independent risk factors affecting the prognosis of lung adenocarcinoma were identified and integrated into the nomogram model. The C-index of the prediction model was 0.819 in the training cohort and 0.810 in the validation cohort. The predicted specific survival rate of the 1-, 3- and 5-year calibration curves of the training cohort and the validation cohort were consistent with the actual specific survival rate. In comparison to the 7th edition of the AJCC TNM staging system, the NRI and DCA curves demonstrated a considerable boost to the predictive capacity and net benefits achieved by the nomogram model. The risk stratification model constructed with this nomogram model was able to distinguish the patients with different risks well (P < 0.0001). Conclusion A nomogram prognostic model is successfully developed and validated, which provides a simple and reliable tool for the survival prediction of the patients with lung adenocarcinoma. Meanwhile, the risk stratification model constructed by the prediction model can conveniently screen patients with different risks, which is important for the individualized treatment of lung adenocarcinoma patients.
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Objective To investigate the impact of lymph node metastasis on the survival of SCLC patients with M1a disease. Methods We retrospectively analyzed the medical records of 7027 SCLC patients with M1a disease from 2004 to 2015 in SEER database. The Kaplan-Meier method and log-rank test were used to estimate the OS in all N stage subgroups. Cox proportional hazard model was used to assess whether N stage was an independent risk factor for prognosis. Results The median OS of all patients was 7 months. Among all M1a patients, the patients without lymph node involvement (N0) had the best OS, followed by N1 stage patients; N2 and N3 stage patients had the worst OS (P < 0.001). Similarly, this trend was observed when M1a disease was subdivided into contralateral pulmonary nodules, malignant pleural effusion and malignant pericardial effusion. Multivariate analysis showed that lymph node metastasis was an independent prognostic factor for SCLC patients with M1a disease, and this result was also noticed in all subgroups of M1a disease. Conclusion Lymph node metastasis may affect the survival of SCLC patients with M1a disease, adding prognostic information. And it is recommended to further improve the N descriptor in the next version of TNM staging system.
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OBJECTIVE@#To develop a nomogram to predict the long-term survival of patients with esophageal cancer following esophagectomy.@*METHODS@#We collected the data of 7215 patients with esophageal carcinoma from the Surveillance, Epidemiology, and End Results (SEER) database during the period from 2004 and 2016. Of these patients, 5052 were allocated to the training cohort and the remaining 2163 patients to the internal validation cohort using bootstrap resampling, with another 435 patients treated in the Department of Cardiothoracic Surgery of Jinling Hospital between 2014 and 2016 serving as the external validation cohort.@*RESULTS@#In the overall cohort, the 1-, 3-, and 5-year cancer-specific mortality rates were 14.6%, 35.7% and 41.6%, respectively. Age (≥80 years vs < 50 years, P < 0.001), gender (male vs female, P < 0.001), tumor site (lower vs middle segment, P=0.013), histology (EAC vs ESCC, P=0.012), tumor grade (poorly vs well differentiated, P < 0.001), TNM stage (Ⅳ vs Ⅰ, P < 0.001), tumor size (> 50 mm vs 0-20 mm, P < 0.001), chemotherapy (yes vs no, P < 0.001), and LNR (> 0.25 vs 0, P < 0.001) were identified as independent risk factors affecting long-term survival of the patients. The nomograms established based on the model for predicting the survival probability of the patients at 1, 3 and 5 years after operation showed a C-index of 0.726 (95% CI: 0.714-0.738) for predicting the overall survival (OS) and of 0.735 (95% CI: 0.727-0.743) for cancer-specific survival (CSS) in the training cohort. In the internal validation cohort, the C-index of the nomograms was 0.752 (95% CI: 0.738-0.76) for OS and 0.804 (95% CI: 0.790-0.817) for CSS, as compared with 0.749 (95% CI: 0.736-0.767) and 0.788 (95%CI: 0.751-0.808), respectively, in the external validation cohort. The nomograms also showed a higher sensitivity than the TNM staging system for predicting long-term prognosis.@*CONCLUSION@#This prognostic model has a high prediction efficiency and can help to identify the high-risk patients with esophageal carcinoma after surgery and serve as a supplement for the current TNM staging system.
Subject(s)
Aged, 80 and over , Female , Humans , Male , Esophageal Neoplasms/surgery , Esophagectomy , Prognosis , Risk Factors , SEER ProgramABSTRACT
Objective:To analyze the differences of clinicopathological features and prognosis between secretory breast carcinoma (SBC) and invasive ductal carcinoma (IDC), and to explore the influence of SBC on the prognosis of breast cancer.Methods:We retrieved data of patients diagnosed with SBC and IDC from The National Cancer Institute′s Surveillance, Epidemiology, and End Results (SEER) database between 1990 and 2016. 109 cases of SBC (SBC group) and 558 814 cases of IDC (IDC group) were collected. The clinicopathological features were compared between SBC and IDC groups. The tendency score matching method was used to match the balance confounding factors according to 1∶4 proportion. The breast cancer-specific survival time (BCSS) and overall survival time (OS) of the two histological types of breast cancer before and after matching were analyzed. The survival curve was drawn using the Kaplan-Meier method and compared with the log-rank test. Univariate and multivariate Cox regression analysis was used to determine the independent prognostic factors of breast cancer.Results:There were significant difference in diagnostic age, marital status, sex, histological grade, American Joint Committee on Cancer (AJCC) N stage, estrogen receptor (ER) and progesterone receptor (PR) expression between SBC and IDC group (all P<0.05). The BCSS of SBC group was similar to IDC group, and OS was better than IDC ( P<0.05). Univariate and multivariate regression analysis showed that diagnostic age, race, marriage, sex, location, histological grade, AJCC stage, treatment mode and ER, PR expression were all related factors affecting BCSS and OS (all P<0.05). SBC was an independent prognostic factor for OS ( P<0.05). After propensity score matching according to 1∶4, there was no significant difference in BCSS and OS between the two groups ( P<0.05). Cox regression analysis showed that AJCC T stage and PR negative expression were the influencing factors of BCSS (all P<0.05), and diagnostic age and AJCC T stage were the influencing factors of OS (all P<0.05). SBC was no longer an influencing factor of OS in breast cancer. Conclusions:There was no significant difference in prognosis between SBC and IDC. SBC was not an independent risk factor for breast cancer.
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Objective To analyze the factors affecting the prognosis of patients with pulmonary sarcomatoid carcinoma (PSC) and construct a nomogram prediction model for the prognosis of PSC patients. Methods Based on the SEER database, 1671 patients diagnosed as PSC from 1988 to 2015 were collected and divided into modeling group and validation group according to the ratio of 7:3. Univariate and multivariate Cox regression analysis were performed in the modeling group to explore independent risk factors affecting the prognosis and construct a nomogram survival prediction model. The consistency index and calibration curve were used for verification in the modeling group and the test module respectively. Results Age, gender, histological type, TNM stage, tumor diameter > 50mm, surgery, radiotherapy and chemotherapy were independent factors that affected the prognosis of PSC patients. The nomogram prediction model was constructed and verified based on independent factors. The C indexes of the modeling group and the test model were 0.790 (95%CI: 0.776-0.804) and 0.781 (95%CI: 0.759-0.803), respectively. The calibration curves of the modeling group and the test model indicated that the predicted survival rate was basically the same as the actual survival rate. Conclusion The nomogram prediction model constructed based on the results of multivariate analysis can predict the prognosis of PSC patients, and has high accuracy and consistency.
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Objective To establish and validate a Nomogram for predicting the survival of patients with pediatric ependymoma based on SEER database. Methods We collected the clinicopathological data from 1975 to 2016 in the SEER database. Univariate and multivariate Cox proportional hazard regression models were used to identify potential predictors. A Nomogram was constructed to predict 5- and 10-year overall survival of patients with pediatric ependymoma. The consistency index (C-index), receiver operating characteristic curve and calibration curve were used to verify the discrimination and accuracy of the Nomogram. The decision curve analysis was performed to verify the clinical applicability of the Nomogram. Results A Nomogram model was established based on multivariate Cox proportional hazards model of training set. C-index values of the Nomogram were 0.713 (95%CI: 0.680-0.747) and 0.734 (95%CI: 0.681-0.787) in the training and validation sets, respectively. ROC curves also showed good discrimination in the training set. The calibration curves showed satisfactory consistency between Nomogram and ideal models. The decision curve analysis demonstrated the considerable clinical usefulness of the Nomogram. Conclusion The Nomogram model is constructed based on age at diagnosis, gender, race, primary tumor sites, tumor grade, surgery treatment and SEER registry to predict the survival of patients with pediatric ependymoma. It has good discrimination and accuracy degree, providing useful guidance to make more accurate and personalized survival prediction for patients in clinic.
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Objective To investigate the clinical characteristics, treatment and prognosis of the eighth edition of AJCC stage Ⅲ gallbladder cancer (GBC). Methods We collected the clinical data and follow-up results of 3485 patients with AJCC 8th stage Ⅲ gallbladder cancer. Kaplan Meier survival curves of ⅢA and ⅢB, T3N0M0 (ⅢA), T1-2N1M0 (ⅢB) and T3N1M0 (ⅢB) were drawn and compared. Single factor analysis and Cox multiple factor regression analysis were used to analyze the relation between clinical characteristics, treatment plan, stage Ⅲ subtype and prognosis. Results One-year survival rate of stage ⅢB gallbladder cancer patients was 49.70%, higher than those of stage ⅢA(36.41%); the 1-year survival rate of stage T1-2N1M0 (ⅢB) gallbladder cancer patients was 65.52%, higher than those of stage T3N0M0 (ⅢA) (36.41%) and stage T3N1M0 (ⅢB) (37.05%). According to Cox multivariate analysis, age, tumor grade, tumor size, operation mode, radiotherapy, chemotherapy, AJCC 8th TNM specific subtype and T stage were independent related factors affecting the prognosis of stage Ⅲ GBC patients (P < 0.01). Conclusion The overall survival of stage ⅢB GBC is better than that of stage ⅢA. The risk of stage Ⅲ GBC death was T1-2N1M0 (ⅢB) < T3N0M0 (ⅢA) < T3N1M0 (ⅢB). Radical cholecystectomy (number of dissected lymph node≥6), radiotherapy and chemotherapy are beneficial to the improvement of prognosis of stage Ⅲ GBC patients.
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Objective To analyze the mortality risk and evaluate the curative effects of surgery and non-surgery on NSCLC with diameter > 7.0 cm. Methods We collected the data of NSCLC patients with diameter > 7.0 cm from 2010 to 2015 from the SEER database. The 1, 2, 3-year survival rates were analyzed by life table method. Overall survival curve was estimated by Kaplan-Meier method. Univariate and multivariate Cox regression models were used to analyze the independent prognostic factors. Results The 1, 2, 3-year survival rates were 51.8%, 33.0% and 25.0%, respectively. In univariate and multivariate analyses, tumor size, N stage and treatment were the independent prognostic factors (P < 0.001). Conclusion Surgery is benefited for the prognosis of stage N0-N1 NSCLC patients with diameter > 7.0 cm. And for stage N2 NSCLC patients with diameter 7.0-9.0 cm, surgical treatment has advantages in improving the prognosis. Surgical and non-surgical patients with tumor diameter ≥9.0 cm or lymph node N3 stage have no statistically significant differences in prognosis. In addition, palliative treatment does not improve the prognosis of patients.
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Objective:Ameloblastoma (AM) is a rare tumor derived from dental epithelial tissues, which is prone to recurrence and infiltration. This study aims to identify the prognostic factors of AM.Methods:207 ameloblastoma patients were screened from the SEER database. A Cox regression model and nomogram were constructed to evaluate the factors on the overall survival. Clinical data of 61 patients admitted to Hunan Cancer Hospital were retrospectively analyzed. The independent factors of recurrence rate were analyzed by the Cox regression model.Results:The results on the SEER database showed that age, tumor size, type of surgery, radiotherapy were important prognostic factors of the overall survival. The nomogram was constructed and the C-index was equaled to 0.821, indicating this model was moderately accurate. The receiver operating characteristic (ROC) curve demonstrated that the area under the ROC curve (AUC) at 1, 3, 5, and 10 years were 0.852, 0.869, 0.856, and 0.879, indicating this model had relatively high sensitivity and specificity. Kaplan- Meier survival analysis suggested that overall survival in the high-risk group was significantly lower than that in the low-risk group ( P<0.001). Based on retrospective analysis, clinical symptoms and type of surgery were the independent factors of the local recurrence rate. Kaplan- Meier survival analysis found the recurrence rate of facial swelling and pain was lower compared to those of other symptoms. Compared with the palliative surgery, radical surgery could decrease the recurrence rate. Conclusions:Age, tumor size, type of surgery, and radiotherapy may be important factors of the overall survival. Type of surgery and clinical symptoms are probably the independent factors of the recurrence rate.
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Objective:To explore the impacts of postoperative radiotherapy on long-term survival of the patients with resectable locally advanced (T 3-4and/or N +) biliary tract cancers (BTCs) and to analyze the prognostic factors. Methods:The patients with locally advanced gallbladder cancer ( n=1 922) and the patients with extrahepatic biliary duct cancer ( n=3 408) who received surgical resection during 2006-2016 were selected from the Surveillance, Epidemiology, and End Result (SEER) database. They were grouped according to different treatment schemes (only surgery and surgery + radiation). The propensity score matching (PSM) method was employed to adjust the differences in baseline prognostic characteristics between patients who received only surgery and those treated with surgery+ radiation. The role of the two treatment schemes on the survival of the patients was analyzed using the Kaplan-Meier method and the prognosis factors were assessed using the Cox regression. Results:The 1 174 patients with gallbladder cancers and the 2 144 patients with extrahepatic biliary duct cancer were respectively matched according to propensity scores. The postoperative radiotherapy showed a significant advantage in 5-year cancer-specific survival (CSS) compared to only surgery for both the patients with gallbladder cancer ( χ2=35.73, P< 0.001) and those with extrahepatic biliary duct cancer ( χ2=9.878, P=0.002). After adjusting related covariates, independent prognostic factors for all the patients included pathological grading, T status, N status, treatment pattern, and age. For the patients with extrahepatic biliary duct cancer, independent prognostic factors also included race and year of diagnosis. The benefits of postoperative radiotherapy were observed in various clinicopathologic characteristics except for the patients with T 1-2 gallbladder cancer and the extrahepatic biliary duct cancer patients with a pathological grade of Ⅰ-Ⅱ and N 0 status or with age ≥ 70. Conclusions:Long-term survival benefits can be gained through postoperative radiotherapy for the patients with resectable locally advanced (T 3-4 and/or N+ ) BTCs. However, adjuvant radiation should be cautiously adopted for the patients with T 1-2 gallbladder cancer and the extrahepatic biliary duct cancer patients with a pathological grade of I-Ⅱ and N 0 status or with age ≥70.
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Objective:To investigate the important risk factors for the prognosis of patients with colorectal cancer (CRC) based on SEER database, and to construct a line chart prognostic model of 1-, 3-and 5-year survival rates for CRC patients.Methods:The clinical data of 52814 patients with CRC diagnosed pathologically from 2010 to 2015 in SEER database were collected. Cox proportional hazard model was used for univariate and multivariate survival analysis to determine the prognostic risk factors. Stepwise regression was used to screen the clinical factors that had the greatest impact on prognosis. Calibration curve was used to evaluate the accuracy of line chart prediction model for predicting 1-, 3-and 5-year OS in patients with CRC.Results:Surgical method, age, LNR, AJCC stage, T stage, N stage, M stage, vascular tumor thrombus and nerve invasion were independent risk factors for prognosis. Stepwise regression analysis showed that age, T stage, M stage, LNR and mode of operation were the most associated with the prognosis of CRC. A line chart model was constructed based on these five factors. The consistency index of age/T staging/M staging/LNR/ operation on the training set and verification set was the highest, which were 0.762 and 0.756 respectively. ROC curve analysis showed that in the training set and verification set, the AUC of age/T stage/M stage/LNR/ operation prognosis model was more than 0.7, and the model had high diagnostic value.Conclusion:The CRC prognostic line chart model based on age/T staging/M staging/LNR/ operation has a better predictive effect. The constructed prognosis OS diagram is convenient for clinical oncologists to make a more accurate assessment of the prognosis of patients, and provides a theoretical basis for individual diagnosis and treatment of CRC patients.
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To develop a survival time prediction model for patients with ovarian serous cystadenocarcinoma after surgery. A retrospective analysis of 5906 postoperative patients with ovarian serous cystadenocarcinoma in the surveillance, epidemiology, and end results (SEER) database from 2010 to 2015 was performed. The independent risk factors for long-term survival were analyzed with multivariate Cox proportional hazard regression model. The nomogram of 3-year and 5-year survival was developed by using R language. The receiver operator characteristic (ROC) curve and were used to test the discrimination of the model and the calibration diagram was used to evaluate the degree of calibration of the prediction model. The survival curves was conducted by the risk factors. Cox proportional hazard regression model showed that age, race, histological grade (poorly differentiated and undifferentiated), stage T (T2a, T2b, T2c, T3a, T3b and T3c), and stage M (M1) were independent factors for the prognosis of patients with ovarian serous cystadenocarcinoma after surgery. A nomogram was developed by the R language tool for predicting the 3-year and survival of patients through age, race, histological classification, stage T and stage M. The C-index was 0.688 and the areas under ROC curve of the nomogram for predicting 3-year and 5-year survival were 0.708 and 0.716, respectively. The results of the calibration indicated that the predicted values were consistent with the actual values in the prediction models. The survival time of patients with high-risk factors was shorter than that of patients with low-risk factors (<0.05). The developed nomogram in this study can be used to predict 3-year and 5-year survival of postoperative patients with ovarian serous cystadenocarcinoma, and it may be beneficial to guide clinical treatment.
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Humans , Cystadenocarcinoma, Serous/surgery , Neoplasm Staging , Nomograms , Prognosis , ROC Curve , Retrospective Studies , SEER Program , Survival RateABSTRACT
To investigate whether chemotherapy could prolong the postoperative survival time in patients with early stages pancreatic ductal adenocarcinoma (PDAC). A total of 5280 stage ⅠA -ⅡB PDAC patients diagnosed from 2010 to 2015 were selected from surveillance，epidemiology，and end results (SEER) database. Propensity score matching (PSM) analysis was adopted to reduce the baseline differences between the groups. Univariate survival analysis was conducted with the Kaplan-Meier method. Multivariate survival analysis was performed with the Cox proportional hazards model. Univariate and multivariate survival analyses showed that age, differentiation, stage, chemotherapy were independent risk factors for the survival of PDAC patients. After PSM, it is found that adjuvant chemotherapy could prolong the median overall survival time (mOS) for stage ⅠB, ⅡA and ⅡB patients. However, for stage ⅠA patients, there were no significant differences in 3-year survival rate and mOS between patients with chemotherapy (=283) and without chemotherapy (=229) (57.4% vs 55.6%, vs all >0.05). Further analyses show that among 101 patients with well differentiated PDAC and 294 patients with moderately differentiated PDAC, there were no significant differences in survival rate and mOS between patients with and without chemotherapy (all >0.05). Among 117 patients with low-differentiated + undifferentiated PDAC, 3-year survival rate and mOS in patients with chemotherapy were significantly better than those without chemotherapy (48.5% vs 34.1%, vs all <0.05). Chemotherapy regimen used currently is not beneficial for patients with moderately and well differentiated stage ⅠA PDAC, but it is an independent prognostic factor for low-differentiated + undifferentiated PDAC patients.
Subject(s)
Humans , Adenocarcinoma/pathology , Carcinoma, Pancreatic Ductal/surgery , Chemotherapy, Adjuvant , Neoplasm Staging , Pancreatic Neoplasms/drug therapy , Prognosis , Propensity ScoreABSTRACT
Objective@# To explore the influence of marital status on the survival of patients with buccal mucosa squamous cell carcinoma (BMSCC) and to provide a scientific basis for risk assessment and nursing decisions for these patients.@*Methods @# A total of 1 006 BMSCC participants were identified in the Surveillance, Epidemiology, and End Results(SEER) database. Kaplan-Meier analysis was used to evaluate the effect of marital status (married, unmarried and unhappily married) on the survival of patients with buccal squamous cell carcinoma. The independent prognostic effect of marital status was further determined by univariate and multivariate Cox proportional hazard regression analysis.@*Results@# Marital status was an independent prognostic factor for BMSCC patients (P=0.001). Married patients had the best survival, while separated/divorced/widowed patients had the worst survival (HR=1. 445, P=0.001), and never married patients had an intermediate risk (HR=1.297, P=0.040).@*Conclusion@#Marital status was an independent prognostic factor for BMSCC patients. Unmarried and unhappily married patients had worse survival, which suggests that we should pay more attention to patients’ marital status, especially unmarried and unhappily married patients.
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OBJECTIVE@#To investigate the value of positive lymph node ratio (LNR) in predicting the prognosis of patients with esophageal cancer.@*METHODS@#We retrieved the data of a total of 862 patients with esophageal cancer with complete clinical pathology data archived in SEER database in 2010 to 2015. The best cutoff point of LNR was selected using X-tile software. Univariate and multivariate COX proportional hazard models were used to assess the value of LNR in predicting the prognosis of patients after propensity score matching (PSM).@*RESULTS@#The best cut-off point of LNR determined using X-tile 3.6.1 software was 0.16. The patients with LNR < 0.16 and those with LNR≥0.16 showed significant differences in the number of positive lymph nodes, pathological type, T stage and M stage. After 1:1 propensity score matching, the two groups showed no significant difference in the clinical data or pathological parameters. Matched univariate and multivariate COX regression analyses showed that LNR, primary tumor site and M staging were all independent risk factors affecting the prognosis of patients, and among them LNR had the most significant predictive value (LNR < 0.16 LNR≥0.16: HR=1.827, 95% : 1.140-2.929; =0.000). The median survival time of patients with LNR < 0.16 was 31 months (95%: 22.556-39.444 months), as compared with 16 months (95%: 12.989-19.011) in patient with LNR≥0.16 (Log Rank χ=27.392, < 0.0001). LNR had a better accuracy than N stage for assessing the patients' prognosis with an area under the ROC curve of 0.617 (95%: 0.567-0.666), as compared with 0.515 (95%: 0.463-0.565) of N stage (=3.008, =0.0026).@*CONCLUSIONS@#LNR≥0.16 is an independent risk factor affecting the prognosis of patients with esophageal cancer and has better prognostic value than N stage.