Treatment and survival analyses of completely resected thymic carcinoma patients

The prediction models for postoperative overall survival and disease-free survival in patients with breast cancer

The goal of this study is to establish a method for predicting overall survival (OS) and disease‐free survival (DFS) in breast cancer patients after surgical operation. The gene expression profiles of cancer tissues from the patients, who underwent complete surgical resection of breast cancer and were subsequently monitored for postoperative survival, were analyzed using cDNA microarrays. We detected seven and three probes/genes associated with the postoperative OS and DFS, respectively, from our discovery cohort data. By incorporating these genes associated with the postoperative survival into MammaPrint genes, often used to predict prognosis of patients with early‐stage breast cancer, we constructed postoperative OS and DFS prediction models from the discovery cohort data using a Cox proportional hazard model. The predictive ability of the models was evaluated in another independent cohort using Kaplan–Meier (KM) curves and the area under the receiver operating characteristic curve (AUC). The KM curves showed a statistically significant difference between the predicted high‐ and low‐risk groups in both OS (log‐rank trend test P = 0.0033) and DFS (log‐rank trend test P = 0.00030). The models also achieved high AUC scores of 0.71 in OS and of 0.60 in DFS. Furthermore, our models had improved KM curves when compared to the models using MammaPrint genes (OS: P = 0.0058, DFS: P = 0.00054). Similar results were observed when our model was tested in publicly available datasets. These observations indicate that there is still room for improvement in the current methods of predicting postoperative OS and DFS in breast cancer.

Efficacy and safety of icotinib as first-line therapy in patients with advanced non-small-cell lung cancer

Background and objective

Several clinical trials have proven that icotinib hydrochloride, a novel epidermal growth factor receptor (EGFR)–tyrosine kinase inhibitor, exhibits encouraging efficacy and tolerability in patients with advanced non-small-cell lung cancer (NSCLC) who failed previous chemotherapy. This study was performed to assess the efficacy and toxicity of icotinib as first-line therapy for patients with advanced pulmonary adenocarcinoma with EGFR-sensitive mutation.

Patients and methods

Thirty-five patients with advanced NSCLC with EGFR-sensitive mutation who were sequentially admitted to the First Affiliated Hospital of Xi’an Jiaotong University from March 2012 to March 2014 were enrolled into our retrospective research. All patients were administered icotinib as first-line treatment. The tumor responses were evaluated using Response Evaluation Criteria in Solid Tumors (RECIST, version 1.1).

Results

Among the 35 patients, the tumor objective response rate (ORR) and disease control rate were 62.9% (22/35) and 88.6% (31/35), respectively. The median progression-free survival was 11.0 months (95% confidence interval [CI]: 10.2–11.8 months), and median overall survival was 21.0 months (95% CI: 20.1–21.9 months). The most common drug-related toxicities were rashes (eleven patients) and diarrhea (nine patients), but these were generally manageable and reversible.

Conclusion

Icotinib monotherapy is effective and tolerable as first-line treatment for patients with advanced lung adenocarcinoma with EGFR-sensitive mutation.