Tumor Progression Clinical Trial
Official title:
The Role of Protein Tyrosine Kinase 7 (PTK7) in Non-small Cell Lung Cancer: Functional Analysis and Molecular Mechanism Study
To understand the mechanism and cellular functions of PTK7-associated signaling pathways in promoting lung cancer progression and conferring treatment to epidermal growth factor receptor tysosine kinase inhibitors (EGFR TKIs).
- RNA extraction: We will extract total RNA from cell lysates by using Tri-reagent
(Molecular Research Center, Inc., Cincinnati, Ohio) and an RNA Mini Kit (Qiagen, Hilden,
Germany) according to the manufacturer's instruction. RNA obtained from the Mini Kit
column will be eluted. The quantity and quality of the purified RNA will be evaluated
using a NanoDrop ND-1000 spectrophotometer will be stored at -80 °C for further
mutational analyses.
- Data acquisition: We will record and follow patients' clinical information, including
ethnicity, age, gender, smoking status, histological types, lung cancer stage (the TNM
status), metastatic sites, ECOG score, CT/CXR imaging, chemotherapy or radiation
treatment at the time of diagnosis of lung cancer and through the entire clinical
courses. Specific marker such as TTF1, is used to ensure the diagnosis of primary lung
tumor. Clinicopathologic stage assigns according to the seventh tumor-node-metastasis
classification. We assess the treatment responses according to the Response Evaluation
Criteria in Solid Tumors (RECIST) using the unidimension method, and record the best
response achieved per treatment. Treatment response, progression-free survival, and
overall survival are recorded prospectively for further analysis.
- Statistical analysis: All categorical variables will be analyzed with Pearson's χ² test,
except where a small size required the use of Fisher's exact test. The progression-free
survival curve and overall survival will be plotted by the Kaplan-Meier method and
compared by the log-rank test. Multivariate analysis for overall survival will be
performed using the Cox's proportional hazards model. Two-sided p-values of less than
0.05 is considered significant. All analyses will be performed using SPSS software
(version 16.0 for Windows; SPSS Inc.).
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