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Mutation Analysis of EGFR Gene in Patients with Non-Small Cell Lung Cancer in Xinjiang

The epidermal growth factor receptor (EGFR) is a receptor tyrosine kinase (RTK) that links extracellular signals to the control of cell survival, growth, proliferation and differentiation. EGFR has been a therapeutic target for human malignancies, due to its frequent hyperactivation, therefore, it is necessary to investigate the characteristics of EGFR mutation, and identify patients who are likely to benefit from EGFR mutation. In this study, we examined 766 non-small cell lung cancer (NSCLC) patients (675 tissue, 83 thoracic water precipitation and 8 plasma samples) tested in pathology department of First Affiliated Hospital of Xinjiang Medical University from 2013 to 2017 by using ARMS-PCR method. The correlation between EGFR mutations and clinical pathological features was further explored. Subgroup analyses according to ethnicity, histological type, sample type, and tumour grade were done. Subgroup analyses showed the mutation rate of tumor tissue, thoracic water precipitation and plasm was 30.5%, 37.3%, 50.0% respectively. We found female (p < 0.0001), no smoking (p < 0.001), adenocarcinoma (p < 0.0001), and tissue specimens (Tobacco use) were associated with higher EGFR mutation rate. The most common mutations were exon 19 deletions (47.30%) and L858R point (42.32%) mutation. We have not found any differences between EGFR mutations and ethnic groups especially. In addition, we did not find differences in common mutations and rare sensitive mutations in the survival of targeted therapies.

num-based chemotherapy remains the main treatment choice for advanced non-small-cell lung cancer (NSCLC) [2]. However, epidermal growth factor receptor (EGFR) tyrosine kinase inhibitors (TKI) therapy recently achieved promising successes in NSCLC patients harboring EGFR active mutations [3] [4] [5] significantly prolonging patients' survival. Therefore, it is of great importance to determine the prevalence of EGFR mutations frequency.
EGFR as a driving gene, plays an important role in the treatment of advanced lung cancer, and EGFR-TKIs significantly prolongs the progression-free survival (PFS) of patients with advanced NSCLC who are positive for EGFR mutations [6], and it has become a first-line standard treatment for patients with advanced EGFR mutant positive NSCLC. For early NSCLC patients, there is still a high risk of disease recurrence after radical resection [7] [8] [9]. A large proportion of patients die from the recurrence of lung cancer [10] [11]. With the rapid development of targeted therapy, more and more studies have begun to explore the application of EGFR-TKIs in the adjuvant therapy of early NSCLC after operation [12] [13] [14]. Research proved that EGFR patients with mutations who received EGFR-TKIs targeted therapy after radical surgery for lung cancer and after completing adjuvant chemotherapy were less able to reduce the risk of postoperative recurrence than those who were not accepted EGFR-TKIs; there is also a trend to extend the overall survival (OS) (41.6 months vs 32. 6 months, P = 0.76) [15] [16].
Research also reported that EGFR has a mutation rate of about 30% in late-Asian NSCLC patients, but the mutation rate can be as high as 60% in patients who do not smoke, women, and pathological types of adenocarcinoma [17] [18] [19]. Based on this background, investigating the difference of EGFR mutation rate and mutation spectrum in patients with NSCLS is necessary [20] [21].

Data Collection
We collected 766 non-small cell lung cancer (NSCLC) specimens from lis system of pathology department of First Affiliated Hospital of Xinjiang Medical University from 2013 to 2017, including 675 tissue samples, 83 thoracic water precipitation samples and 8 plasma samples. All patients' information were collected, including gender, age, and smoking status. Disease data included date of first NSCLC diagnosis, histological type, AJCC stage, nodal status, and distant metastases. Standardized case report forms were used to record the data in accordance with the protocol's instructions. Smoking was assessed using two ways. First, patients were classified according to their actual smoking status (never-smoked means that the subject smoked no cigarettes during his entire lifetime; ex-smoker means that the subject no longer smokes; occasional smoker means that the subject smokes, but not every day; and regular smoker means that the subject smokes every day). Second, smoking patients were classified ac-International Journal of Clinical Medicine cording to their tobacco consumption, in pack-year.

EGFR Mutation Analysis
Tumor samples were obtained from primary or metastatic lesions, and were handled and stored following laboratories' quality control requirements. Biopsy site and technique were recorded. Cytological samples were accepted only when histological material was unavailable.
After tumor DNA extraction, EGFR mutation was analyzed at Laboratory of First Affiliated Hospital, Xinjiang Medical University, tested by an amplification refractory mutation system (ARMS)-based EGFR mutation detection kit (EGFR 18 -21 exon PCR kit, Yakangbo, Beijing, China). This kit allows the detection of 32 mutations in the EGFR gene.

Statistical Analyses
Statistical analysis was performed by the IBM SPSS Statistics. The per protocol analysis (PPS) set was used for all statistical analyses. Mutations prevalence and corresponding 95% confidence intervals (95% CI) were calculated using the Wilson score method. Associations between mutations and demographic and clinical characteristics were analyzed by χ 2 tests or Fisher's exact tests, as appropriate. Characteristics associated with mutations with a P-value < 0.05 were included in a multivariate logistic model. All analyses were two-sided and a P-value < 0.05 was considered significant. In the multivariate analysis, a P-value < 0.01 was considered significant.

Baseline Characteristics of the Study Population
The clinical baseline characteristics of 766 patients in this study are shown in

Correlation between EGFR Mutation and Clinicopathological Features
A total of 766 patients were enrolled in the study group, and the correlation between EGFR mutation and clinicopathological features were shown in Table 2   had a shorter survival (Figure 1), but the difference was not significant.

Differences in Survival between Different Mutation Types
The relationship between mutation types of EGFR gene and patients' mortality also studied, the results showed that 96 patients died and 81 patients were still alive, regardless of the number of lost patients. Chi-square test showed that different mutation types of EGFR gene had no significant effect on patients' mortality (p > 0.05) ( Table 4).
Cox proportional hazard model ( Figure 2) showed that different types of EGFR did not affect the survival of patients in our study: the regression coefficient was 0.106 (p > 0.05). International Journal of Clinical Medicine

Discussion
Xinjiang Uyghur Autonomous Region is a provincial-level autonomous region of China, It is the largest Chinese administrative division and it is home to a number of ethnic groups. Whether the difference of life reflects the difference of mechanism or genetic background has to be studied in depth and detail, especially in Xinjiang where a few ethnic minorities are numerous. it is necessary to study EGFR fusion according to local characteristics Gene incidence for future selection of inhibitors of EGFR genes to provide clinical Basis. And China's domestic study of EGFR mutations to guide individualized treatment, the study of most of the subjects are Han, Xinjiang Uygur Research is less. So study EGFR mutations are more individual in guiding the treatment of NSCLC in Xinjiang.
In this paper, a total of 766 initially diagnosed NSCLC patients (675 tissue, 83 thoracic water precipitation and 8 plasm samples) of NSCLC specimens were selected, in which Han were 647 cases, Uygur were 61 cases, basic information of patients such as sex, pathology, age and smoking or not, the baseline level was consistent. All the 766 samples were detected by arms PCR method, the results showed that 241 cases with EGFR mutation, the mutation rate was 31.5%, in which 203 cases were Han, the mutation rate in Han was 31.4%, and 20 cases were Uygur, the mutation rate in Uygur was 32.8%, but there were no statistical differences.
EGFR mutation hotspots are mainly concentrated on exon 19th and 21 st [22], The EGFR mutations detected in this paper are mainly 19 DEL mutation and 21 exon L858R mutation. There are reports showing that the EGFR mutation rate of lung cancer has ethnic differences, in Japanese the EGFR mutations in 94 patients with NSCLC were studied and analyzed [23], the total mutation rate was found to be 33%, and the mutations detected were 19 exon missing mutation and 21 exon L858R mutation. Another study in Europe about the EGFR mutations in 162 patients with NSCLC were analyzed, and the results showed that The mutation rate of EGFR is 24.7%. By comparing similar studies at home and abroad, It was found that the mutation rate in Chinese patients with NSCLC was higher than that in Europe and the United States [24], but the mutation rate in patients with NSCLC is similar with Asia and Japan. The lung cancer of Uygur population in Xinjiang has its own pathogenic cha- All in all, this paper compares Han and Uygur NSCLC In the case of EGFR mutations, it is concluded that the mutation rate of EGFR in Han was a little lower than that of Uygur, but there was no statistical difference, the distribution of age, ethnicity, sample type and tumor grade were not statistically significant also (p > 0.05), while the distribution of EGFR gene mutation positive cases in patients with gender, smoking status and histological type were statistically significant (p < 0.05).
In this study, the specimens of EGFR mutations in NSCLC were collected from lis system of pathology department of First Affiliated Hospital of Xinjiang Medical University from 2013 to 2017, there was no criterion for the selection of samples, and there were only 61 Uygur cases in the total specimens, so there may be some limits of the study that may affect the outcome of the study, We need more detailed researches to reveal the differences of races in Xinjiang, identifying which patients may benefit from the research of EGFR mutations is our final goal.

Conclusion
In conclusion, our study characterized the distributions of EGFR mutations in NSCLC patients in Xinjiang and investigated the relevance of gender, smoking status, histology type, sample type, tumor grade, race, and mutation type. Statistical analysis showed that the distribution of EGFR gene mutation positive cases in patients with gender, smoking status and histological type was statistically significant (p < 0.01). Although these outcomes have some statistical significance, they cannot perfectly elucidate the EGFR-mediated molecular basis of tumorigenesis, development and therapeutic resistance and identify potential therapeutic targets. More extensive studies are therefore needed.