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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 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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Bletilla striata has been used as traditional Chinese medicine for several centuries. In recent years, the quality and quantity of wild B. striata plants have declined sharply due to habitat deterioration and human over-exploitation. Therefore, it is of great urgency to evaluate and protect B. striata wild plant resource. In this study, sequence-related amplified polymorphism (SRAP) markers were applied to assess the level and pattern of genetic diversity in twelve populations of B. striata. The results showed a high level of genetic diversity (PPB = 90.48%, H = 0.349 4, I = 0.509 6) and moderate genetic differentiation among populations (G(st) = 0.260 9). Based on the unweighted pair-group method with arithmetic average (UPGMA), twelve populations gathered in three clusters. The cluster 1 included four populations. There are Nanjing, Zhenjiang, Xuancheng and Hangzhou. The seven populations which come from Hubei Province, Hunan Province, Jiangxi Province and Guizhou Province belonged to the cluster 2. The cluster 3 only contained Wenshan population. Moreover, Mantel test revealed significant positive correlation between genetic distances and geographic distances (r = 0.632 9; P < 0.000 1). According to the results, we proposed a series of conservation consideration for B. striata.