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find Author "GONG Youling" 2 results
  • Efficacy of adjuvant radiotherapy for lower thoracic esophageal squamous cell carcinoma patients after radical operation with anastomosis above aortic arch

    Objective To analyze the efficacy of and recurrence mode after adjuvant radiotherapy for lower thoracic esophageal squamous cell carcinoma (TESCC) patients after radical operation with anastomosis above aortic arch. Methods Sixty-three patients with lower TESCC who received adjuvant radiotherapy after R0 radical operation with anastomosis above aortic arch between February 2011 and February 2019 were retrospectively enrolled. The clinical tumor volume (CTV) included anastomotic stoma, and lymph node drainage area in mediastinum and upper abdomen. The survival status, recurrence and metastasis of tumors, and the influencing factors were analyzed. Results The 1-, 2-, and 3-year overall survival rates were 98.3%, 83.3%, and 63.7%, respectively. The median disease-free survival (DFS) was 33 months [95% confidence interval (23.2, 42.8) months], and the 1-, 2-, and 3-year DFS rates were 76.3%, 58.5%, and 41.7%, respectively. Patients with N0-1 had longer DFS than those with N2-3 (median: not reached vs. 15 months, P=0.045). The recurrence rate of anastomotic site was 7.9%. The recurrence rates of lymph nodes in supraclavicular region, upper middle mediastinum, and upper abdomen were 4.8%, 15.9%, and 1.6%, respectively. The distant metastasis rate was 17.5%. The incidence of grade 2-3 radiation pneumonitis, grade 3 anastomotic stenosis, and grade 3 tracheal fistula were 4.8%, 3.2%, and 1.6%, respectively. Conclusions N2-3 is a poor prognostic factor for such patients. Regional lymph node recurrence is mainly revealed in the middle and upper mediastinum. Whether the CTV should include anastomotic stoma and lymph node drainage area in lower mediastinum and upper abdomen is questionable.

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  • Clinical features and related factors for treatment of non-small cell lung cancer patients with long-term survival

    Objective To investigate the clinical features of non-small cell lung cancer (NSCLC) patients with long-term survival and the related factors for treatment. Methods A retrospective analysis of clinical features, treatment factors, and survival was performed for 963 patients with pathologically confirmed stage Ⅳ NSCLC between January 2010 and December 2015 from Department of Thoracic Oncology, West China Hospital, Sichuan University. Results The median overall survival (OS) of the 963 patients was 20.8 months, and the 1-, 3-, 5-, and 7-year survival rates were 72.0%, 21.4%, 15.2%, and 4.8%, respectively. There were 81 patients in the long-term survival group (OS>60 months) and 882 in the non-long-term survival group (OS<60 months). Previous surgery, thoracic radiotherapy and epidermal growth factor receptor (EGFR) gene positive significantly increased the 5-year actual survival rate, reducing the risk of death by 62.0%, 58.8%, and 58.1%, respectively. Compared with the non-long-term survival group, more patients in the long-term survival group received two or more means of treatment including surgery, thoracic radiotherapy, and targeted therapy (28.4% vs. 11.6%, P<0.001) and more patients benefited from fourth- or further-line treatment (24.7%vs. 11.1%, P<0.001). Cox multivariate regression analysis indicated that performance status [hazard ratio (HR)=1.388, 95% confidence interval (CI) (1.199, 1.608), P<0.001] , N stage [HR=1.160, 95%CI (1.058, 1.272), P=0.002] , EGFR gene status [HR=0.588, 95%CI (0.469, 0.738), P<0.001] , previous surgery [HR=0.626, 95%CI (0.471, 0.832), P=0.001] , and thoracic radiotherapy [HR=0.592, 95%CI (0.480, 0.730), P<0.001] were independent prognostic factors of OS. Conclusions Good performance status, early N staging, EGFR mutation, previous surgery, and thoracic radiotherapy are important prognostic factors affecting the survival of advanced NSCLC patients. Long-term survival benefits from combined treatment and effective further-line therapies.

    Release date:2019-01-23 01:20 Export PDF Favorites Scan
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