Objective To investigate the prognostic differences and decision-making role in postoperative radiotherapy of four molecular subtypes in pT1-2N1M0 stage breast cancer. Methods The clinicopathological data of 1526 patients with pT1-2N1M0 breast cancer treated at West China Hospital of Sichuan University between 2008 and 2018 were retrospectively analyzed. χ2 test was used to compare the clinicopathological features among patients with different molecular subtypes. Kaplan-Meier survival analysis and log-rank test were used to draw the survival curves and compare the overall survival (OS) and breast cancer-specific survival (BCSS) among patients with different molecular subtypes. Cox regression model was used to determine the influencing factors of OS of patients after radical mastectomy. Results Among the 1526 patients with pT1-2N1M0 breast cancer, there were 674 cases (44.2%) of Luminal A subtype, 530 cases (34.7%) of Luminal B subtype, 174 cases (11.4%) of human epidermal growth factor receptor 2 (Her-2) overexpression subtype, and 148 cases (9.7%) of triple-negative subtype. The 5-year OS rates of Luminal A, Luminal B, Her-2 overexpression and triple negative patients were 98.6%, 94.3%, 95.5% and 91.2%, respectively (χ2=11.712, P=0.001), and the 5-year BCSS rates were 99.3%, 94.6%, 95.5% and 92.5%, respectively (χ2=18.547, P<0.001). Multiple Cox regression analysis showed that menstrual status [hazard ratio (HR)=0.483, 95% confidence interval (CI) (0.253, 0.923), P=0.028] and whether endocrine therapy [HR=2.021, 95%CI (1.012, 4.034), P=0.046] were prognostic factors for the 5-year OS rate of breast cancer patients after radical mastectomy (P<0.05). However, it failed to reveal that Luminal subtypes and postoperative radiotherapy were prognostic factors for the 5-year OS rate (P>0.05). Conclusions In pT1-2N1M0 breast cancer patients, the 5-year OS rate and 5-year BCSS rate in triple-negative patients are the lowest. The relationship between Luminal classification, postoperative radiotherapy and survival in patients after radical mastectomy needs further study in the future.
Objective To investigate the expression of Jumonji domain-containing protein 3 ( JMJD3) in lung cancer tissue. Methods The cancer tissue slides from 53 lung cancer patients with different TNMstages were immunostained with JMJD3 antibody. The relationship between the expression of JMJD3 and type of pathology, TNM stage, survival time was analyzed. Results 94. 3% lung cancer tissue expressed JMJD3 protein. The expression of JMJD3 was negatively correlated with TNMstage( r = - 0. 347,P =0. 002) . The patients with decreased JMJD3 expression had shorter survival time than the patients with high JMJD3 expression ( X2 = 17. 83, P = 0. 001) . Conclusion Decreased expression of JMJD3 may promote the lung cancer progression.
Objective To improve esophageal lymph node staging and investgate an ideal esophageal lymph node metastasis staging method. Methods The clinical pathological data and followup data of the 236patients who had undergone thoracic esophagectomy with at least 6 lymph nodes (LN) removed from January 1985 to December 1989 were analyzed retrospectively. Cox proportional hazard model was used to screen risk factors, and Logrank test was applied to perform survival analysis according to lymph node metastasis staging (number, distance and extent). Results The 10-year follow-up rate was 92.3%（218/236）. The overall 1-year, 5-year and 10-year survival rates were 80.2%, 43.1% and 34.2% respectively. One hundred and twelve (47.4%) patients had LN metastasis, and their 5-year survival rates were lower than that of patients without LN metastasis (14.8% vs. 66.6%; χ2=77.18, P=0.000). Cox regression analysis showed that besides depth of invasion, differentiation grade and LN metastasis, the number, distance and extent of LN metastasis were the independent risk factors which could influence prognosis. A further analysis was given via univariate Logrank test. When grouped according to the number of LN metastasis, there were significant differences in overall survival rates (χ2=96.00,P=0.000), but no significant difference was found in survival rates between N2 and N3 group(Pgt;0.05). When grouped according to the distance of LN metastasis, there were significant differences in overall survival rates (χ2=79.29, P=0.000), but no significant difference was found in survival rates among S1, S2 and S3 group(Pgt;0.05). When grouped according to the extent of LN metastasis (0, 1, and ≥2 fields), there were significant differences in overall survival rates (χ2=87.47, P=0.000), and so were the survival rates among groups (χ2=5.14, P=0.023). Conclusion Revising the current Nclassification of TNM staging of esophageal cancer according to the extent of LN metastasis(0, 1, and ≥2 fields) is more reasonable, and can reflect the prognosis of patients with esophageal cancer after esophagectomy better.
ObjectiveTo explore the risk factors affecting the prognosis of patients with metastatic breast cancer (MBC) and construct a nomogram survival prediction model.MethodsThe patients with MBC from 2010 to 2013 were collected from surveillance, epidemiology, and end results (SEER) database, then were randomly divided into training group and validation group by R software. SPSS software was used to compare the survival and prognosis of MBC patients with different metastatic sites in the training group by log-rank method and construct the Kaplan-Meier survival curve. The Cox proportional hazards model was used to analyze the factors of 3-year overall survival, then construct a nomogram survival prediction model by the independent prognostic factors. The C-index was used to evaluate its predictive value and the calibration curve was used to verify the nomogram survival prediction model by internal and external calibration graph.ResultsA total of 3 288 patients with MBC were collected, including 2 304 cases in the training group and 984 cases in the validation group. The data of the two groups were comparable. The median follow-up time of training group and validation group was 34 months and 34 months, respectively. In the training group, the results of Cox proportional hazards model showed that the older, black race, higher histological grading, without operation, ER (–), PR (–), HER-2 (–), and metastases of bone, brain, liver and lung were the risk factors of survival prognosis (P<0.05) and constructed the nomogram survival prediction model with these independent prognostic factors. The nomogram survival prediction showed a good accuracy with C-index of 0.704 [95%CI (0.691, 0.717)] in internal validation (training group) and C-index of 0.691 [95%CI (0.671, 0.711)] in external validation (validation group) in predicting 3-year overall survival. All calibration curves showed excellent consistency.ConclusionNomogram for predicting 3-year overall survival of patients with MBC in this study has a good predictive capability, and it is conducive to development of individualized clinical treatment.
Objective To investigate the prognostic factors of severe chronic obstructive pulmonary disease ( COPD) in elderly patients, and to guide the clinical assessment and appropriate interventions. Methods A prospective cohort study was carried out from May 1993 to December 2010. A total of 178 elderly patients with severe COPD were recruited for baseline survey, and followed up for the living conditions, whether used non-invasive ventilation, and causes of death. A survival analysis was performed on all patients stratified by lung function. The significant factors on survival rate were analyzed. Results In this cohort the survival rates were 49% and 12% in five and ten years, respectively. The important factors for prognosis were age [ relative risk( RR) = 1. 043, 95% confidence intervals( 95% CI = 1. 010-1. 050] , forced expired volume in one second ( FEV1 , RR = 0. 019, 95% CI = 0. 007-0. 052) , FEV1% pred ( RR = 1. 045, 95% CI = 1. 012-1. 079) , lung function grade ( RR = 2. 542, 95% CI = 1. 310-4. 931) , body mass index ( BMI, RR= 0. 945, 95% CI = 0. 895-0. 952) , and pulmonary heart disease ( RR = 1. 872, 95% CI = 1. 188- 2. 959) . In severe COPD, non-invasive ventilation ( NIV, RR = 1. 167, 95% CI = 0. 041-1. 674) , pulmonary heart disease ( RR = 3. 805, 95% CI = 1. 336-10. 836) , FEV1 ( RR = 0. 081, 95% CI = 1. 001-1. 168) , and arterial partial of oxygen ( PaO2 , RR=0. 956, 95% CI =0. 920-0. 993) were the independent predictors.The patients using NIV had longer survival than those without NIV. The 5 and 10 years survival rate in the patients with NIV were 78% and 50% , much higher than those without ventilation which were 30% and 25% , respectively. In extremely severe COPD, FEV1 ( RR=1. 059, 95% CI =1. 015-1. 105) , arterial partial of carbon dioxide ( PaCO2 , RR=1. 037, 95% CI = 1. 001-1. 074) , age ( RR= 1. 054, 95% CI = 1. 013-1. 096) and pulmonary heart disease ( RR = 1. 892, 95% CI = 1. 125-3. 181) were the independent predictors. Conclusions Age, BMI, FEV1 , PaO2 , PaCO2 , pulmonary heart disease, and NIV were prognostic factors in elderly patients with severe COPD. The prognostic factors between severe and extremely severe COPD were not identical. Patients with severe COPD should be given early intervention, including progressive nutritional support, and long-term home oxygen therapy combining with NIV.
ObjectiveTo investigate the application status of survival analysis in studies published in Chinese oncology journals, and assess their reporting quality and summarize the existing problems, so as to promote the application of survival analysis and reporting quality. MethodsStudies that used survival analysis were collected from 1 492 studies published in Chinese Journal of Oncology, Chinese Journal of Clinical Oncology, Chinese Journal of Radiation Oncology and Chinese Journal of Cancer Prevention and Treatment in 2013. The application status of survival analysis of included studies was analysed and their reporting quality was evaluated. ResultsA total of 242 survival analysis studies were included. Among them, the utilization rates of Kaplan-Meier method, life table method, log-rank test, Breslow test and Cox proportional hazards model were 91.74%, 3.72%, 78.51%, 0.41% and 46.28%, respectively. 112 studies did multivariate analysis through Cox proportional hazards model. A total of 396 end points and 10 different types of survival time were reported. Overall survival (OS) was reported in 233 studies (92.15%). Survival terms were defined to 158 end points (39.90%) of 103 studies (42.56%). The follow-up rates were mentioned in 155 studies (64.05%), of which 4 studies were under 80% and the lowest was 75.25%, 55 studies were 100%. The main problems of survival analysis studies published in Chinese journals were as follows:None of the studies which used Cox proportional hazards model reported the proportional hazards assumption. None of the studies used the method of parametric survival analysis. 130 studies (53.72%) did not use the method of multiple factor analysis. 139 studies (57.44%) did not define the survival terms. Only 11 of 100 studies which reported loss to follow-up had stated how to treat it in the analysis. None of the studies reported the methods of calculating sample size. None of the studies reported the censoring proportion. ConclusionThe methods of survival analysis are used in a low rate in studies published in Chinese oncology journals, and the overall reporting quality of survival analyses is poor. So the reporting guideline of survival analysis should be developed and the authors should be encouraged to cooperate with professional statisticians, in order to improve the design, analysis and reporting quality of survival analysis studies.
ObjectiveTo analyze the clinical characteristics and related prognostic factors of post-renal transplantation pneumonia.MethodsThe clinical data of 89 patients with post-renal transplantation pneumonia in Sichuan Academy of Medical Sciences & Sichuan Provincial People’s Hospital from 1st January 2014 to 31st December 2015 were collected in the study. Kaplan-Meier method was used to calculate overall survival. Cox analysis was used to analyze the related prognostic factors.ResultsPost-renal transplantation pneumonia occurred mainly within 6 months after renal transplantation. The prominent clinical manifestations were cough (95.5%), fever (56.1%), and dyspnea (12.3%). The mortality of post-renal transplantation pneumonia was 11.2% and all death occurred within 5 months after transplantation. The overall survival rate significantly decreased in the patients with C-reactive protein (CRP) ≥40 mg/L (P<0.001), procalcitonin ≥1 ng/ml (P=0.002), brain natriuretic peptide >100 pg/ml (P<0.001), platelet ≤100×109/L (P<0.001), or those with occurrence time of pneumonia <180 days (P=0.013). Platelet ≤100×109/L could increase the risk of death by 66.6 times (RR=0.015, P=0.006), and CRP ≥ 40 mg/L could increase the risk of death by 20 times (RR=0.05, P=0.029).ConclusionsPost-renal transplantation pneumonia has prominent clinical characteristics. Platelet ≤100×109/L or CRP ≥40 mg/L can increase the risk of death and can be used as an independent prognoctic factor of post-renal transplatation pneumonia.
Objective Establishing Nomogram to predict the overall survival (OS) rate of patients with gastric adenocarcinoma by utilizing the database of the Surveillance, Epidemiology, and End Results (SEER) Program. Methods Obtained the data of 3 272 gastric adenocarcinoma patients who were diagnosed between 2004 and 2014 from the SEER database. These patients were randomly divided into training (n=2 182) and validation (n=1 090) cohorts. The Cox proportional hazards regression model was performed to evaluate the prognostic effects of multiple clinicopathologic factors on OS. Significant prognostic factors were combined to build Nomogram. The predictive performance of Nomogram was evaluated via internal (training cohort data) and external validation (validation cohort data) by calculating index of concordance (C-index) and plotting calibration curves. Results In the training cohort, the results of Cox proportional hazards regression model showed that, age at diagnosis, race, grade, 6th American Joint Committee on Cancer (AJCC) stage, histologic type, and surgery were significantly associated with the survival prognosis (P<0.05). These factors were used to establish Nomogram. The Nomograms showed good accuracy in predicting OS rate, with C-index of 0.751 ［95%CI was (0.738, 0.764)］ in internal validation and C-index of 0.753 ［95% CI was (0.734, 0.772)］ in external validation. All calibration curves showed excellent consistency between prediction by Nomogram and actual observation. Conclusion Novel Nomogram for patients with gastric adenocarcinoma was established to predict OS in our study has good prognostic significance, it can provide clinicians with more accurate and practical predictive tools which can quickly and accurately assess the patients’ survival prognosis individually, and can better guiding clinicians in the follow-up treatment of patients.
ObjectiveTo investigate the expression and clinical significance of HOXB7 mRNA and protein in colorectal cancer (CRC) tissues.MethodsThe expressions of HOXB7 mRNA were evaluated in 6 cases of adjacent colorectal mucosal (ACRM) tissues and 6 cases of CRC tissues by using RT-PCR. The HOXB7 protein expressions were evaluated in 30 cases of ACRM tissues and 98 cases of CRC tissues by using immunohistochemistry. The correlations between the expression of HOXB7 protein, and the clinicopathologic factors or the patient’ survival were analyzed.ResultsRT-PCR results showed that expression level of HOXB7 mRNA in CRC tissues was significantly higher than that of ACRM tissues (P=0.003). Immunohistochemistry results showed that significantly higher positive-expression rate of HOXB7 protein in CRC tissues compared with ACRM tissues (P<0.05). Positive expression of HOXB7 protein was associated with depth of tumor invasion, lymph node metastasis, and the TNM stage (P<0.05). Kaplan-Meier survival curves showed that positive expression of HOXB7 protein was not inversely correlated with survival of CRC patients (P=0.865).ConclusionPositive expression of HOXB7 protein is a novel biomarker for estimating the progression of CRC, but remains of textual research may be to confirm the significance of HOXB7 protein for prognosis evaluation.