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.
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.
Survival data were widely used in oncology clinical trials. The methods used, such as the log-rank test and Cox regression model, should meet the assumption of proportional hazards. However, the survival data with non-proportional hazard (NPH) are also quite usual, which will decrease the power of these methods and conceal the true treatment effect. Therefore, during the trial design, we need to test the proportional hazard assumption and plan different analysis methods for different testing results. This paper introduces some methods that are widely used for proportional hazard testing, and summarizes the application condition, advantages and disadvantages of analysis methods for non-proportional hazard survival data. When the non-proportional hazard occurs, we need to choose the suitable method case by case and to be cautious in the interpretation of the results.
ObjectiveTo investigate the clinical characteristics and prognosis of resectable esophageal small cell carcinoma after surgical resection.MethodsA retrospective study of patients with resectable esophageal small cell carcinoma undergoing surgical resection from January 2009 to June 2015 in the Department of Thoracic Surgery, Sichuan Provincial Fourth People's Hospital and Department of Thoracic Surgery, West China Hospital of Sichuan University was performed. Survival analysis was conducted by Kaplan-Meier analysis and log-rank test. Cox regression model was used for identifying independent prognostic factors.ResultsA total of 53 patients with resectable esophageal small cell carcinoma were included for analysis. The mean age was 58.4 ± 8.3 years and there were 42 male patients and 11 female patients. Forty-two patients were diagnosed as pure esophageal small cell carcinoma while 11 patients were diagnosed with mixed esophageal small cell carcinoma, who were all mixed with squamous cell carcinoma. Most of the esophageal small cell carcinomas were located in the middle (58.5%) and lower (32.1%) segments of the esophagus. Thirty patients (56.6%) were found to have lymph node metastasis, and 7 patients (13.2%) were found to have lymphovascular invasion. According to the 2009 TNM staging criteria for esophageal squamous cell carcinoma, there were 12 patients with stage Ⅰ disease, 19 patients with stage Ⅱ disease, and 22 patients with stage Ⅲ disease. Most of the patients underwent left thoracotomy with two-field lymphadenectomy. Postoperatively, only twenty-two patients (41.5%) received adjuvant chemoradiotherapy. The median survival time of these patients was 20.1 months, and the 1- and 3-year survival rate was 75.5% and 33.1%, respectively. For prognosis, age, gender, pathological type, tumor location, and lymphovascular invasion had no significant impact on long-term survival of these patients. However, TNM stage (1 year survival rate: stage Ⅰ: 91.7%; stage Ⅱ: 78.9%; stage Ⅲ: 63.6%; P=0.004) and postoperative adjuvant therapy (1 year survival rate: 81.8% vs. 71.0%; P=0.005) had significant impact on the survival of patients with esophageal small cell carcinoma. In multivariate analysis, TNM stage and postoperative adjuvant therapy were independent prognostic factors for long-term prognosis of patients with esophageal small cell carcinoma.ConclusionEsophageal small cell carcinoma is very rare, with high malignancy and poor prognosis. For patients with resectable esophageal small cell carcinoma, the TNM staging system of esophageal squamous cell carcinoma can be used to direct the choice of treatment options. For early stage esophageal small cell carcinoma (stage Ⅰ/Ⅱ), surgery plus postoperative adjuvant chemoradiotherapy can be the prior therapeutic choice, while for locally advanced esophageal small cell carcinoma (stage Ⅲ), chemoradiotherapy should be the preferred treatment.
ObjectiveTo analyze the relevant risk factors affecting postoperative relapse-free survival (RFS) in the primary gastrointestinal stromal tumors (GIST) and develop a Nomogram predictive model of postoperative RFS for the GIST patients. MethodsThe patients diagnosed with GIST by postoperative pathology from January 2011 to December 2020 at the First Hospital of Lanzhou University and Gansu Provincial People’s Hospital were collected, and then were randomly divided into a training set and a validation set at a ratio of 7∶3 using R software function. The univariate and multivariate Cox regression analysis were used to identify the risk factors affecting the RFS for the GIST patients after surgery, and then based on this, the Nomogram predictive model was constructed to predict the probability of RFS at 3- and 5-year after surgery for the patients with GIST. The effectiveness of the Nomogram was evaluated using the area under the receiver operating characteristic curve (AUC), consistency index (C-index), and calibration curve, and the clinical utility of the Nomogram and the modified National Institutes of Health (M-NIH) classification standard was evaluated using the decision curve analysis (DCA). ResultsA total of 454 patients were included, including 317 in the training set and 137 in the validation set. The results of multivariate Cox regression analysis showed that the tumor location, tumor size, differentiation degree, American Joint Committee onCancer TNM stage, mitotic rate, CD34 expression, treatment method, number of lymph node detection, and targeted drug treatment time were the influencing factors of postoperative RFS for the GIST patients (P<0.05). The Nomogram predictive model was constructed based on the influencing factors. The C-index of the Nomogram in the training set and validation set were 0.731 [95%CI (0.679, 0.783)] and 0.685 [95%CI (0.647, 0.722)], respectively. The AUC (95%CI) of distinguishing the RFS at 3- and 5-year after surgery were 0.764 (0.681, 0.846) and 0.724 (0.661, 0.787) in the training set and 0.749 (0.625, 0.872) and 0.739 (0.647, 0.832) in the validation set, respectively. The calibration curve results showed that a good consistency of the 3-year and 5-year recurrence free survival rates between the predicted results and the actual results in the training set, while which was slightly poor in the validation set. There was a higher net benefit for the 3-year recurrence free survival rate after GIST surgery when the threshold probability range was 0.19 to 0.57. When the threshold probability range was 0.44 to 0.83, there was a higher net benefit for the 5-year recurrence free survival rate after GIST surgery. And within the threshold probability ranges, the net benefit of the Nomogram was better than the M-NIH classification system at the corresponding threshold probability. ConclusionsThe results of this study suggest that the patients with GIST located in the other sites (mainly including the esophagus, duodenum, and retroperitoneum), with tumor size greater than 5 cm, poor or undifferentiated differentiation, mitotic rate lower than 5/50 HPF, negative CD34 expression, ablation treatment, number of lymph nodes detected more than 4, and targeted drug treatment time less than 3 months need to closely pay attentions to the postoperative recurrence. The discrimination and clinical applicability of the Nomogram predictive model are good.
Objective To analyze the clinical efficacy and survival outcome of totally thoracoscopic redo mitral valve replacement and evaluate its efficiency and safety. Methods The clinical data of patients with totally thoracoscopic redo mitral valve replacement in Guangdong Provincial People’s Hospital between 2013 and 2019 were retrospectively analyzed. Survival analysis was performed using the Kaplan-Meier method. Univariate and multivariate Cox regression analyses were used to determine the risk factors for postoperative death. Results There were 48 patients including 29 females and 19 males with a median age of 53 (44, 66) years. All the procedures were performed successfully with no conversion to median sternotomy. A total of 15, 10 and 23 patients received surgeries under non-beating heart, beating heart and ventricular fibrillation, respectively. The in-hospital mortality rate was 6.25% (3/48), and the incidence of early postoperative complications was 18.75% (9/48). Thirty-five (72.92%) patients had their tracheal intubation removed within 24 hours after the operation. The 1- and 6-year survival rates were 89.50% (95%CI 81.30%-98.70%) and 82.90% (95%CI 71.50%-96.20%), respectively. Age>65 years was an independent risk factor for postoperative death (P=0.04). Conclusion Totally thoracoscopic redo mitral valve replacement is safe and reliable, with advantages of rapid recovery, reducing blood transfusion rate, reducing postoperative complications and acceptable long-term survival rate. It is worthy of being widely popularized in the clinic.
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.
ObjectiveTo investigate the prognostic relevance of serum triglyceride (TG) levels in patients with anti-melanoma differentiation-associated gene 5 (MDA5) antibody-positive dermatomyositis-associated interstitial lung disease (ILD). Methods A retrospective data collection was conducted on patients diagnosed with anti-MDA5 antibody-positive dermatomyositis-associated ILD at West China Hospital of Sichuan University between February 2017 and July 2021. The clinical data, laboratory tests, and imaging examinations were collected, and the patients were followed up. According to the survival and death status of patients, they were divided into survival group and death group. According to TG levels, the patients were divided into a TG high level group and a TG low level group. We employed Cox proportional hazard models to investigate the variables linked to the mortality of individuals afflicted with anti-MDA5 antibody-positive dermatomyositis-associated ILD. Results A total of 204 patients with anti-MDA5 antibody-positive dermatomyositis-associated ILD were included. Among them, whose age ranged from 30 to 81 years old, with an average of (49.5±11.8) years old, there were 69 males and 135 females, 53 deaths and 151 survivors, 57 cases of rapidly progressive pulmonary interstitial fibrosis (RPILD) and 47 cases of non-RPILD. The results of multivariate Cox regression analysis showed that TG≥1.65 mmol/L, combined with RPILD, combined with dyspnea, age, lactate dehydrogenase≥321 U/L, and albumin<30 g/L were independent factors affecting the long-term prognosis of patients (P<0.05). The Kaplan-Meier method analysis results showed that the survival rate of the TG high level group was lower than that of the TG low level group (P=0.032). Conclusions Elevated TG levels can serve as a clinical indicator of adverse prognosis in patients with dermatomyositis-associated ILD who exhibit positive anti-MDA5 antibody status. Additionally, age, comorbidity with RPILD, combined with dyspnea, lactate dehydrogenase≥321 U/L, and albumin<30 g/L are independent factors contributing to the increased mortality risk among individuals with dermatomyositis-associated ILD who test positive for anti-MDA5 antibody.
ObjectiveTo detect expressions of Lgr5 and E-cadherin (E-cad) proteins in gastric cancer tissues and analyze their relationships with the clinicopathologic characteristics and prognosis of patients with gastric cancer.MethodsThe expressions of Lgr5 and E-cad proteins in the 69 patients with gastric cancer and adjacent normal gastric mucosa tissues were measured by the immunohistochemical SABC method, and the relationships between the Lgr5 or E-cad protein expression in the gastric cancer tissues and the clinicopathologic characteristics and the survival of patients with gastric cancer were analyzed.ResultsThe expressions of Lgr5 and E-cad proteins were positive in 60 cases (87.0%) and 30 cases (43.5%) of gastric cancer tissues, respectively, and in 5 cases (16.7%) and 30 cases (100%) of adjacent normal gastric mucosa tissues. There was a significant difference in the positive rate of Lgr5 or E-cad protein expression in the different tissues, respectively (Lgr5 protein: χ2=45.814, P<0.001; E-cad protein: χ2=11.249, P=0.001). The positive rates of Lgr5 and E-cad protein expressions in the gastric cancer were related to the degree of differentiation and the depth of invasion. Meanwhile the positive rate of Lgr5 protein expression in the gastric cancer tissue was also related to the lymph node metastasis and Helicobacter pylori infection, while the positive rate of E-cad protein expression was not related to these (P>0.05). The 5-year total survival time had no significant difference in the patients between with positive and with negative expressions of Lgr5 protein (χ2=1.819, P=0.117), which had a significant difference in the patients between with positive and with negative expressions of E-cad protein (χ2=5.814, P=0.016). The positive expression of Lgr5 was negatively correlated with that of E-cad (rs=−0.355, P=0.003).ConclusionsLgr5 protein may get involved in the mechanism of tumor invasion, lymph nodal metastasis, and low differentiation, while no relationship between the Lgr5 protein and prognosis has been confirmed. E-cad protein may get involved in the mechanism of tumor invasion and affect the prognosis of patients.