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Epidermal Growth Factor Receptor Mutation Status and the Impact on Clinical Outcomes in Patients with Non-Small Cell Lung Cancer


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INTRODUCTION

Lung cancer is the major cause of cancer-related death in the world. As reported by American Cancer Society, lung cancer caused more deaths than breast, prostate, colorectal, and brain cancers combined in 2017 [1]. Non-small cell lung cancer (NSCLC) consists of about 85% of all lung cancers and is usually diagnosed at advanced or metastatic stage [2]. Platinum-based regimens have been the mainly conventional chemotherapy for advanced NSCLC treatment with a poor benefit in survival. In the past decade, an increased understanding of the signaling pathways contributed to the development of target agents, and the addition of target therapy to the treatment protocols for NSCLC patients was a major breakthrough and had obtained clinically significant survival benefit [3]. The epidermal growth factor receptor (EGFR) mutations are predictive markers for response to target therapy in NSCLC patients [4]. EGFR is a transmembrane glycoprotein existing on the cell surface and plays an important role in tumor cell survival and proliferation. Tyrosine kinase inhibitors (TKIs) that specifically target EGFR have been used as first-line treatment in EGFR mutation-positive patients [5, 6]. Lindeman et al. [6] reported that the response to TKIs was approximately 68% in patients with activating EGFR mutations, while there was only an 11% response rate in patients with wild type EGFR. Given the benefit of EGFR-TKI therapy, EGFR mutation testing was recommended to NSCLC patients before initiation of first-line therapy, according to clinical practice guidelines [7].

The genetic divergence of EGFR mutations according to ethnicity has been reported. Asian populations have the highest EGFR mutation frequency and it has become very common in clinical practice in some Asian countries to treat patients based on their EGFR status [8, 9]. However, most of the studies conducted on EGFR mutations in Asia were carried out in Korea or Japan, data available on EGFR mutations in China are limited. The present study was to evaluate the EGFR mutation status in Chinese NSCLC patients (Stage I-IV), explore its association with clinical characteristics, and further investigate differences in prognosis between advanced NSCLC patients (Stage IIIB-IV) with and without EGFR mutations.

MATERIALS AND METHODS
Patients

A total of 238 NSCLC patients are included in this study and Figure 1 shows the trial profile. Detailed clinical information of these patients was available on the Sinopharm Dongfeng Hospital medical record system. The gender ratio of these patients was 54.6% (n=130) males and 45.4% (n=108) females. 44.5% (n=106) of the 238 patients were aged over 65 years. Of the 227 patients with a known smoking history, 132 patients (58.1%) had never smoked (smoked <100 lifetime cigarettes), 37 patients (16.3%) were former smokers (≥1 year since quitting smoking), and 58 patients (25.6%) were current smokers (still smoking, or <1 year since quitting smoking). There were 211 NSCLC cases (88.7%) with adenocarcinoma, and other histology types were 27 cases (four adenosquamous carcinoma, five large cell carcinoma, and eighteen squamous cell carcinoma). 157 patients (66%) were diagnosed in advanced NSCLC (Stage IIIB-IV) (Table 1).

Figure 1.

Screening and follow-up of patients NSCLC: non-small cell lung cancer; EGFR: epidermal growth factor receptor; PFS: progression-free survival; OS: overall survival

Patient characteristics

Patient characteristics Total N(%) EGFR mutations N (%) Wild type EGFR N (%) P-value
Gender <0.001
    Female 108(45.4%) 62(57.4%) 46(42.6%)
    Male 130(54.6%) 41(31.5%) 89(68.5%)
Age 0.308
    ≥65 106(44.5%) 42(39.6%) 64(60.4%)
    <65 132(55.5%) 61(46.2%) 71(53.8%)
Smoking history <0.001
    Current smoker 58(25.6%) 15(25.9%) 43(74.1%)
    Former smoker 37(16.3%) 11(29.7%) 26(70.3%)
    Never smoker 132(58.1%) 75(56.8%) 57(43.2%)
Histology types <0.001
    Adenocarcinoma 211(88.7%) 102(48.3%) 109(51.7%)
    Non-adenocarcinoma 27(11.3%) 1(3.7%) 26(96.3%)
Stage classification 0.990
    I-II 74(31.1%) 32(43.2%) 42(56.8%)
    IIIA 7(2.9%) 3(42.9%) 4(57.1%)
    IIIB 39(16.4%) 16(41.0%) 23(59.0%)
    IV 118(49.6%) 52(44.1%) 66(55.9%)

EGFR: epidermal growth factor receptor

Tumor specimens

Tumor samples were obtained from 238 NSCLC patients in the daily clinical practice between October 2016 and December 2019 at Dongfeng Hospital. Tumor samples were fixed with 10% formalin, embedded in paraffin, and then 5μm thickness sections were cut. Tumor specimens were evaluated to confirm the NSCLC histology by experienced pathologists. All patients provided written informed consent before EGFR mutation testing. All procedures were supervised and approved by Sinopharm Dongfeng General Hospital Ethics Committee (Approval Number: LW-2021-21).

EGFR mutation analysis

Genomic DNA was extracted using the TIANamp FFPE DNA Kit, according to the manufacturer’s protocol, and DNA quality and purity was measured by Eppendorf Bio Photometer D30. We used commercially available EGFR kits to detect EGFR mutations in exons 18-21 via ARMS-PCR technology. The EGFR kit is able to detect 21 somatic mutation types, namely, 3 point mutations in exon 18 (G719A, G719C, and G719S, which are referred to as G719X); 11 deletions in exon 19 (which are referred to as 19-Del); 2 point mutations (S768I, T790M) and 3 insertion mutations (H773_V774insH; D770_N771insG; V769_D770insASV, which are referred to as 20-Ins) in exon 20; 2 point mutations in exon 21 (L858R and L861Q) (Table 2). The thermocycling conditions were used as following: 1 cycle of 95˚C for 3 min; 45 cycles of 94˚C for 15 sec and 60˚C for 35 sec. The results were analyzed according to the manufacturer’s guideline.

Mutations detected in exons 18-21 of EGFR

Exon EGFR mutation types
Exon 18 G719A; G719C; G719S
Exon 19 E746_A750del (Cosmic ID:6223); E746_T751>A; E746_S752>V; L747_A750>P; L747_E749del; L747_S752del; E746_A750del(Cosmic ID:6225); L747_A750>P; L747_P753>S; L747_T751del; L747_T751>P
Exon 20 T790M; S768I; H773_V774insH; D770_N771insG; V769_D770insASV
Exon 21 L858R; L861Q

EGFR: epidermal growth factor receptor

Statistical analysis

GraphPad Prism 7.0 and SPSS Statistics 22.0 were the software used for statistical analysis. The associations between EGFR mutation status and clinical characteristics, such as gender, age, smoking history were evaluated by Pearson’s χ2 test or the Fisher exact test. PFS and OS were analyzed by the Kaplan-Meier method, and the differences were calculated by a log-rank test. Variables with a p value less than 0.05 in univariate analysis were entered into a multivariate logistic regression analysis to analyze the favorable factors of EGFR mutations. p<0.05 was considered statistically significant.

RESULTS
Clinical characteristics

EGFR mutations were significantly more common in female than in male (57.4% vs 31.5%, p <0.001). Younger patients (≤ 65years) had a slightly higher mutation rate in comparison with patients >65years, but there was no statistical significance (46.2% vs 39.6%, p = 0.308). A higher frequency of EGFR mutation was observed in non-smokers versus smokers, and the difference was statistically significant (56.8% vs 29.7%, p <0.001). In addition, a noticeable increase of EGFR mutations was found in NSCLC patients with adenocarcinoma than those with non-adenocarcinoma (48.3% vs 3.7%, p <0.001) (Table 1).

EGFR mutations

We identified 103 cases with EGFR mutations among the 238 NSCLC patients, and the total EGFR mutation rate was 43.3%. A single mutation was found in 102 patients and 1 patient had multiple exon mutations (19-Del mutation and T790M mutation). Therefore, a total of 104 mutations were detected in 103 patients. Exons 19 and 21 were the highest mutation frequencies, with 20.6% and 19.3%, respectively. The mutation rate of exon 18 was 2.5% and it was 0.4% for exon 20. An overview of detected mutations is shown in Figure 2.

Figure 2.

The contribution of EGFR mutation types

Distribution of exons 18-21

Table 3 shows the distribution of exons 18-21 in 103 EGFR mutation-positive patients. 60.2% of the patients with mutations were female, and exons 18 and 21 mutations more commonly occurred in female patients (83.3% and 60.9%, respectively). 59.2% of the patients with mutations were under 65 years of age, and exons 18 and 19 mutations mostly occurred in younger patients (100.0% and 62.0%, respectively), however exon 20 mutations mainly occurred in patients of advanced age (>65 years, 100%). 74.3% of the patients with mutations were in never smokers and exons 18, 19, and 21 were the major mutant sites (83.3%, 77.1% and 69.6%, respectively). Patients with adenocarcinoma accounted for 99.0% of all EGFR mutations.

Distribution of exons 18-21

Patient characteristics EGFR mutations N (%) Exon 18 Exon 19 Exon 20 Exon 21
Gender
    Female 62(60.2%) 5(83.3%) 28(56.0%) 1(50.0%) 28(60.9%)
    Male 41(39.8%) 1(16.7%) 22(44.0%) 1(50.0%) 18(39.1%)
Age
    >65 42(40.8%) 0(0.0%) 19(38.0%) 2(100.0%) 22(47.8%)
    ≤65 61(59.2%) 6(100.0%) 31(62.0%) 0(0.0%) 24(52.2%)
Smoking status
    Current smoker 15(14.9%) 1(16.7%) 6(12.5%) 0(0.0%) 8(17.4%)
    Former smoker 11(10.9%) 0(0.0%) 5(10.4%) 1(50.0%) 6(13.0%)
    Never smoker 75(74.3%) 5(83.3%) 37(77.1%) 1(50.0%) 32(69.6%)
Histology types
    Adenocarcinoma 102(99.0%) 6(100.0%) 50(100.0%) 2(100.0%) 45(97.8%)
    Non-adenocarcinoma 1(1.0%) 0(0.0%) 0(0.0%) 0(0.0%) 1(2.2%)
Stage classification
    I-II 32(31.1%) 2(33.3%) 17(34.0%) 0(0.0%) 13(28.3%)
    IIIA 3(2.9%) 0(0.0%) 2(4.0%) 0(0.0%) 1(2.2%)
    IIIB 16(15.5%) 1(16.7%) 8(16.0%) 0(0.0%) 7(15.2%)
    IV 52(50.5%) 3(50.0%) 23(46.0%) 2(100.0%) 25(54.3%)

EGFR: epidermal growth factor receptor

Independent favorable factors for EGFR mutations

According to the results of univariate analysis, variables significantly associated with EGFR mutations were gender (p <0.001), smoking history (p <0.001), and histology types (p <0.001). Table 4 shows the details. We defined the EGFR mutation status as a dependent variable, the statistically significant independent variables in the univariate analysis were entered into the multivariate logistic regression analysis. Multivariate logistic regression identified never smoker (OR = 2.76, 95% CI = 1.04-7.34, p =0.042) and adenocarcinoma (OR = 17.07, 95% CI = 2.21-132.04, p =0.007) to be independent favorable factors for EGFR mutations. When adjusted by smoking history and histology types, gender was no longer found to be significant (p = 0.498).

Univariate analysis and multivariate logistic regression analysis for EGFR mutations

Variable Univariate analysis   Multivariate analysis
P-value   OR 95% CI P-value
Gendera <0.001
    Male 1 References
    Female 1.35 0.57-3.19 0.498
Age 0.308
    >65
    ≤65
Smoking statusa <0.001
    Current smoker 1 References
    Former smoker 1.32 0.51-3.41 0.568
    Never smoker 2.76 1.04-7.34 0.042
Histology typesa <0.001
    Non-adenocarcinoma 1 References
    Adenocarcinoma 17.07 2.21-132.04 0.007
Stage classification 0.990
    I-II
    IIIA
    IIIB
    IV

EGFR: epidermal growth factor receptor; OR: odds ratio; CI: confidence interval

Included in multivariate analysis

Progression-free survival and overall survival

Figure 3 shows the hazard ratio (HR) for the risk of progression in 157 advanced NSCLC patients (Stage IIIB-IV), with and without EGFR mutations. The most common EGFR mutations identified among advanced patients were 19-Del mutation and L858R mutation, comprising 44% (n=30) and 46% (n=31) of the mutation positive cases, respectively. The remaining mutations (four G719X, one L861Q, one 20-Ins, one T790M/19-Del) accounted for 10% (data not shown). Patients with any type of EGFR mutations were enrolled in analysis of the PFS and OS in the present study. At the time of analysis, 31 of 68 patients with EGFR mutations (46%) and 63 of 89 patients with wild type EGFR (71%) had died. The median follow-up was 17 months (range 1-52 months). The median PFS was 11 months (95% CI 7.6-14.4) in patients with EGFR mutations versus 4 months (95% CI 3.0-5.0) in patients with wild type EGFR (Figure 3A). The median OS in patients with EGFR mutations was 24 months (95% CI 20.5-27.5), and it was 12 months (95% CI 8.0-16.0) in patients with wild type EGFR (Figure 3B). Compared to patients with EGFR mutations, patients with wild type EGFR had 2.24 times the risk of progression (HR 2.24, 95% CI 1.62-3.10; p <0.0001) and 2.28 times the risk of death (HR 2.28, 95% CI 1.52-3.42; p <0.0001).

Figure 3.

Kaplan - Meier curve of progression-free survival (A) and overall survival (B) in advanced NSCLC patients with EGFR mutations or wild type EGFR.

DISCUSSION

Many studies have been carried out to estimate EGFR mutation status among NSCLC patients in different regions and populations in order to evaluate the benefits from EGFR-TKI. Results showed that EGFR mutation frequency possesses variability based on ethnicity and regional differences, with 36.3% of positivity in Korea [10], 13.6% in Spain [3], 10.6% in Poland [11], 15.7% in Greece [12], 36.7% in Iran [13], 11.9% in Lebanon [14], and greater in Japan with 53.9% [15]. The prevalence of the EGFR mutations in our study is 43.3%, lower than that reported in a large Asian study including Chinese patients with NSCLC (50.2%) [16], however, it is higher than that which was reported in a multi-center diagnostic survey carried out in the Asia Pacific Region (38.1%) [17]. In general, the frequencies of EGFR mutations in patients from Asian countries are quite high, even up to 68.5% in female non-smokers with adenocarcinoma [18]. The most common mutations detected in the present study are exons19 and 21 (21.0% and 19.3%, respectively). 19-Del mutation and L858R mutation were the most common mutation types for exons 19 and 21, which was in line with previous literature [19].

The median PFS and OS for patients with EGFR mutations were 11 months and 24 months, respectively, while patients with wild type EGFR demonstrated a median 4-month PFS and 12-month OS. The results show prominent benefits in patients with EGFR mutations compared to those with wild type EGFR. Correlations between EGFR mutations and improved PFS and survival in EGFR mutation-positive patients with administration of EGFR-TKI have been reported, while PFS and survival differ due to exon mutation sites. Exons 19 and 21 mutations were associated with sensitivity to EGFR-TKI and it has been reported that the 19-Del mutation was associated with a better response than the L858R mutation when patients were treated with TKI [20, 21]. Mutations in exon 18, including G719A, G719C, and G719S, were also drug sensitizing mutations, however, T790M and 20-Ins mutations had been demonstrated to confer resistance to EGFR-TKI. In the present study, one patient with 20-Ins mutation was observed by the authors. When compared with sensitizing EGFR mutations, the 20-Ins mutation case failed to respond to a combination of pemetrexed and cisplatin and demonstrated a poor prognosis, with only a 3-month survival. The inclusion of patient with 20-Ins mutation resulted in a lower PFS and OS compared to patients with sensitizing EGFR mutations, however this inclusion did not seem to adversely affect overall PFS or OS due to the limited numbers of patients included. Studies reported that T790M was the most common mutant type in exon 20 [22], and in the present study, T790M point mutation was detected in one sample together with 19-Del mutation. Namely, the patient had a rare combination of exon 19 sensitizing mutation and T790M resistance mutation. The mutations are heterogeneous and the EGFR-TKI efficacy in patients with heterogeneous mutations requires individual assessment [23, 24]. Limited to the present study, the patient with heterogeneous mutations received icotinib therapy and demonstrated similar treatment outcomes, compared to sensitizing EGFR mutations, with a 14-month PFS and 23-month survival.

Studies have shown that female, no-smoking status, adenocarcinoma histology, and Asian ethnicity are all favorable factors for EGFR mutations [25, 26]. Similar results were observed in the present study. The statistical analysis showed that the EGFR mutation rate was much higher in female than in male. The reasons for the effect of gender on EGFR mutation rate remained incompletely understood. Differential smoking habits and sex hormones might contribute to the effect [27]. There were more EGFR mutations in positive cases than in never smokers compared with current smokers or former smokers. In the present study, the EGFR mutations were found in 56.8% (75/132) patients who had never smoked and in 25.9% (15/58) current smokers (p <0.001). Likewise, the difference in EGFR mutation rate between NSCLC patients with adenocarcinoma and non-adenocarcinoma was significant (p <0.001). Indeed, molecular testing guidelines recommend EGFR testing to all advanced patients with adenocarcinoma to guide selection of EGFR-TKI therapy, regardless of gender, race, smoking status, or other clinical risk factors [28].

In conclusion, the EGFR mutation rate is 43.3% among all NSCLC patients and the mutations are more frequently observed in exons 19 and 21. EGFR mutations are prevalent in patients who are female, have adenocarcinoma, and have never smoked. Advanced EGFR mutation-positive patients have longer PFS and OS than those with wild type EGFR. But this study has some limitations such as a relatively small number of selected cases and having been a single-center study. Therefore, a larger sample size and multi-center investigations are necessary to make the research results more comprehensive and convincing.

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