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Contemporary Oncology/Współczesna Onkologia
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vol. 19
 
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Original paper

EGFR and KRAS mutations in pulmonary pleomorphic carcinoma and their correlation with clinicopathologic features

Xiaoli Jia
,
Gang Chen

Contemp Oncol (Pozn) 2015; 19 (1): 22–27
Online publish date: 2015/03/26
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Introduction

Pulmonary pleomorphic carcinoma (PPC) is an uncommon heterogeneous tumor of non-small cell lung carcinomas (NSCLCs). The reported incidence of PPC in the literature has ranged from 0.1% to 1.6% of all lung cancer [1–3]. According to the WHO classification of lung tumors, PPC is defined as a carcinoma consisting of spindle and giant cells alone or NSCLC combined with a sarcomatoid tumor component of at least 10% [4–6]. Several studies have reported that many lung adenocarcinomas (ADs) are highly sensitive to tyrosine kinase inhibitors (TKIs), and most of these patients are from the Asian, female, nonsmoker population [7–10]. However, the information on the epidermal growth factor receptor (EGFR) and Kirsten rat sarcoma viral oncogene (KRAS) mutation status of PPC is sparse and controversial because of its rarity. And whether EGFR inhibitor therapy might be effective in patients with PPC is not yet clear. Italiano et al. reported the lack of EGFR mutation and high rate of KRAS mutation. Most patients with PPC were not likely to benefit from EGFR-targeted therapies [11, 12]. Nonetheless, a number of other studies show the existence of EGFR mutation, and a low KRAS mutation incidence rate [13–15]. Factors such as the small series of patients, and geographical or racial variation, might explain these differences. Moreover, the incidence of EGFR mutations in Chinese PPC patients has not been defined.
In the current study, therefore, we examine the EGFR and KRAS mutation status in a relatively large series of surgically treated PPC specimens, and investigate the association of several clinical variables with the EGFR and KRAS mutation, in order to identify useful information on patient selection for targeted therapy.

Material and methods

Tumor cases

Between February 2007 and February 2011, a total of 6990 patients with NSCLC were treated surgically in the Department of Thoracic Surgery, Shanghai Pulmonary Hospital, Shanghai, China. A total of 110 cases of PPC (1.57%) and 225 other cases of NSCLC, i.e., 113 ADs, 40 squamous cell carcinomas (SQs), 55 adenosquamous carcinomas (ADSQs) and 17 large cell carcinomas (LCCs) of lung, were collected and diagnosed strictly using the WHO classification [4]. In every case, we used formalin-fixed and paraffin-embedded tissues from resections. All slides were reviewed blindly by 2 pathologists. In addition, in each case of PPC, the epithelial immunophenotype of the tumor was confirmed using markers of AD (TTF1, SPA and SPB) and SQ (p63, CK5/6 and 34βE12). We also performed additional immunohistochemical (IHC) stains for Vimtion to demonstrate sarcoma. Clinical information, including patient sex, age at diagnosis, and smoking history was obtained for all these cases. Testing for EGFR and KRAS mutations was successfully analyzed in 70 PPCs and 225 other cases. This study was approved by the institutional review boards, and appropriate written informed consent was obtained from all patients.

DNA extraction and sequencing analysis

For mutation detection, DNA was extracted from the formalin-fixed, paraffin-embedded tumor sections. EGFR exon 19 and 21 and KRAS codon 12 and 13 mutations were detected using direct-sequencing polymerase chain reaction as previously described [16]. To minimize necrosis and normal cell genomic DNA contamination, tumor areas were selected by manual microdissection of HE stained slides.

Statistical analysis

The data were analyzed using SPSS version 17.0 for Windows. Correlations between clinicopathologic and molecular factors were determined using the 2 and Fisher exact tests. The Mann-Whitney U test was used to detect significant differences in patient age and tumor size. Overall survival was defined as the time from surgical resection until the date of death or last follow-up for patients who remained alive. Survival curves were analyzed using the Kaplan-Meier method and compared by using the log-rank test. Univariate and multivariate relative risk were calculated using Cox proportional hazards regression. Two-sided p values of less than 0.05 were considered to indicate statistical significance.

Results

Clinicopathologic characteristics of the 110 pulmonary pleomorphic carcinomas and comparison with other non-small cell lung carcinoma

Clinicopathological characteristics of all 110 PPC and other NSCLC patients are compiled in Table 1. Briefly, the case series included 92 men and 18 women (M : F ratio 5 : 1), aged from 38 to 78 years (median 62 years). There were 39 smokers, and 71 never smokers. The median diameter of the tumor was 4.5 cm (1–14 cm). The locations of the lesions were as follows: in 24 cases they were in the central, in 84 cases in the peripheral, and in 2 cases in both locations.
With respect to the comparison of clinicopathologic features, higher age (p = 0.027), male sex (p = 0.001), smoker (p = 0.039), and larger tumor size (p = 0.000) were significantly more common in the group of 110 PPCs than in the other group of 225 NSCLCs (Table 1), but the difference of tumor site was not statistically significant (p = 0.251).

Histologic features and mutational analysis of 70 pulmonary pleomorphic carcinoma

Sequence analysis of EGFR and KRAS genes was performed on 70 PPCs. On the basis of microscopic examination and IHC staining results, we could identify 18 tumors consisting of spindle cells and giant cells alone, and 52 contained identifiable epithelial components (36 cases showed AD, 7 had SQ, 8 had ADSQ and 1 had LCC).
We identified 11 mutations (15.7%) in EGFR and 10 mutations (14.3%) in KRAS. In particular, EGFR mutations consisted of 2 frame deletions in exon 19 (E746_A750del), and 9 amino acid substitutions in exon 21 (L858R). All KRAS codon 12 and 13 mutations were missense mutations (G12C in 5 cases, G12D in 2, G12V in 1, G12A in 1, and G13C in 1), and all these patients were non-smokers. No mutations were observed simultaneously in both EGFR and KRAS genes (Table 2). Also, 10 PPCs with EGFR mutated had an identifiable epithelial component (6 ADs, 3 ADSQ and 1 SQ) and 1 was classified as pure PPC consisting only of spindle and giant cells. KRAS mutation was found in 8 cases with an epithelial component (6 ADs, 1 ADSQ and 1 SQ), and 2 showed only mesenchymal elements (Table 3).
For most mutated patients, different areas corresponding to the epithelial and sarcomatoid components were intimately admixed. Only in two EGFR and one KRAS mutated cases (patients 1, 5 and 19) were the two elements clearly distinct from each other. Therefore, we were able to easily select by manual microdissection, and analyze independently, both the epithelial and the sarcomatoid elements. The same EGFR and KRAS mutations were detected in the two different histological components in all three cases.

Comparison of EGFR and KRAS mutations with those of other non-small cell lung carcinoma

In comparison with PPCs, there was a higher EGFR mutation rate (42.5%) and lower KRAS mutation rate (4.42%) in the AD group, and the difference was significant (p = = 0.000). When the rates of EGFR mutation between PPC and SQ groups were compared alone, near significance was achieved (p = 0.053). Moreover, ADSQ group had a higher mutation rate of EGFR (p = 0.007) than PPC group, whereas the statistical significance between the two groups in KRAS mutation rate was borderline (p = 0.065) (Table 2). Further, we compared the different type of KRAS mutation in these patients. The most frequent type of base change was a GT transversion (12 of 19 mutations). Two of the KRAS mutations were GC transversions and 5 were GA transitions. Still, only three of the patients were ex-smokers (2 ADs with GA mutation and 1 ADSQ with GT mutation) (Table 4).

Relationship between EGFR and KRAS mutations and clinicopathologic variables

We assessed the relationship between EGFR and KRAS mutations and the clinicopathologic variables listed in Table 2. No significant association was observed between mutation status and smoking history, tumor size, site, stage and histologic components. There was a statistically significant association between the frequency of EGFR mutations and sex (44.4% in females versus 11.5% in males, p = 0.011). KRAS mutations were more often found in old age (26.9% of cases at age 65 or older, p = 0.02). Additionally, all KRAS mutations occurred in non-smokers.

Prognosis and overall survival

Complete follow-up information was available for 48 cases of PPC. The 5-year survival rate and median overall survival (OS) time were 40% and 36.68 months, respectively. Of these patients, 25 (52.08%) died of disease, with a follow-up ranging from 1 to 51 months; 23 patients (47.92%) were alive, with a follow-up ranging from 23 to 64 months. In univariate analysis, OS was negatively influenced by advanced stage (I–II vs. III–IVA, p = 0.000) and tumor size (p = 0.012). None of the other analyzed variables, namely gender, age, lymph node metastasis, smoking history, tumor necrosis, location and EGFR/KRAS mutation, had a significant influence on OS. The multivariate analysis confirmed age (p = 0.019), tumor size (p = 0.044) and stage (p = 0.000) as independent variables for OS (Table 5).
Table 3 shows clinicopathological findings and survival of 21 patients with EGFR and KRAS mutations. The survival data were available for 7 EGFR and 7 KRAS mutated patients. None of the correlations between the 2 groups in OS were statistically significant (p = 0.88). More significantly, patient 2 with stage IV disease, a woman who had an exon 19 deletion mutation (E746_A750del), was treated with gefitinib and achieved stable disease. This improvement has lasted for approximately 9 months, and follow-up is underway.

Discussion

Pulmonary pleomorphic carcinoma of the lung is rare. In the current study, we collected a relatively large number of PPCs to better define their clinicopathologic features and explored the relationship between EGFR and KRAS mutation status and multiple variables. In agreement with a previous work on PPCs [2], it accounted for 1.57% (115/6990) of surgically resected NSCLC cases in our department, prevailing in males as a large peripheral lesion. The smokers in our series comprised 37.4% (43/115) and the incidence rate is lower than in other reports [2, 3]. Recently, Mochizuki et al. mentioned that PPC has distinctive clinicopathological features compared with other NSCLCs [17]. Consistent with their report, our analysis demonstrates a higher number of male smokers, older age and larger tumor size.
Since EGFR and KRAS genes were the most clinically relevant molecular biomarkers in NSCLC, we examined the two key oncogenes’ characteristics in 70 resected PPCs. Activating EGFR mutations were seen in 11 patients (15.7%), whereas KRAS mutations were identified in 10 pa-tients (14.3%). Our results revealed that the EGFR mutation rate of PPC is lower than that of AD and ADSQ, but might be higher than that of SQ. The KRAS positive rates are largely concordant with the recently evaluated value of 9–22% in PPC patients [13–15]. Some investigators have also noted that patients with single classical mutations (del-19 or L858R) show a better response to gefitinib than those without the classical mutations [18, 19]. In our study, we identified 10 classical mutations; among these, 2 cases had exon 19 deletions and 8 had L858R point mutations. These results suggested that mutational analysis in patients with PPC should be considered before deciding on a course of treatment. In addition, although there is a male preponderance in PPC, EGFR mutations were also more frequent in females (p = 0.011). Consequently, women should be high-priority candidates for EGFR mutation screening. Additionally, in our cohort, 2 tumors with a non-AD component had activating EGFR mutations. Thus, the distribution of EGFR mutation was not associated with the type of malignant epithelial components. Also, KRAS mutations occurred in different subtypes of PPC. Still, we found that KRAS mutation was more frequently detected in older patients than younger patients (age ≥ 65 vs. < 65) (p = 0.02).
With regard to the histogenesis of PPC, two possible pathways have been proposed, divided into monoclonal and polyclonal pathways. Kyoichi Kaira et al. described three patients with two different histologic types exhibiting EGFR mutations. Their cases revealed that the adenocarcinomatous component had an EGFR mutation and the sarcomatoid component did not [20]. In our series, in contrast, we found that both epithelial and sarcomatoid components carried identical EGFR and KRAS mutations, favoring the contention that PPCs were monoclonal in origin [16, 21].
Another interesting finding is the lack of association between KRAS mutation and smoking. In our studies, even though it was not statistically significant (p = 0.074), non-smokers tended to exhibit KRAS mutations more commonly (10/55, 18.2%) than smokers (0/15, 0.0%). In addition, in comparison with other NSCLCs, smokers were more frequent in the PPC group (p = 0.039). Consequently, we speculated that although smoking is a risk factor for the development of PPC, it may be less strongly associated with KRAS mutations in Chinese patients, arguing against the notion that a11 KRAS mutations are confined to smokers [15].
Ahrendt et al. reported that in KRAS transversions (substituting a pyrimidine for a purine, or a purine for a pyrimidine) are more common than transitions (substituting a purine for a purine, or a pyrimidine for a pyrimidine), and KRAS mutations were significantly more frequent in lung ADs from smokers compared with those from nonsmokers (43% vs. 0%; p = 0.001) [22]. Riely et al. found that KRAS transversion mutations (GT or GC) were more common in smokers with lung AD [23]. In contrast, our studies demonstrated that KRAS mutations in AD were present in only 5 (4.42%) patients. Of the 5 mutations, 2 in smokers were transition mutations and 3 in non-smokers were transversion mutations. Also, we found that most never smokers have transversion mutations (GT) in PPCs and other NSCLCs. The discrepancy might be attributed to geographical or racial differences in these studies. However, the distinct profile of KRAS mutations observed here in never smokers further suggests that while some mutations in KRAS are associated with cigarette smoking, KRAS tumor status cannot be easily predicted on the basis of smoking history alone.
Several researchers [24–26] have reported that gefitinib was effective in PPC patients with L858R EGFR mutation. In our series, one patient who had a deletion mutation in exon 19 of EGFR and was treated with gefitinib achieved SD. These findings may suggest that gefitinib is effective in PPC with EGFR mutation. Our study also indicated that sex, smoking history, lymph node status, mutation type, tumor size and site did not have an impact on length of survival, whereas old age and late stage may have significant value in predicting a poor prognosis.
In summary, we observed a similar EGFR and KRAS mutation rate in Chinese PC patients. Our findings further confirmed that some patients with PPC may possess active EGFR mutations and benefit from EGFR-targeted therapies. Of note, EGFR mutations in PPC were commonly identified in women; therefore women should be high-priority candidates for EGFR mutation screening.

The authors declare no conflict of interest.
This work was supported by the Fundamental Research Funds for the Central Universities (grant No. 1511219018) and by the grant from Youth Research Project of Shanghai Municipal Health Bureau (grant No. 20124y088).

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Address for correspondence

Xiaoli Jia
Department of Pathology, Shanghai Pulmonary Hospital
Tongji University School of Medicine Shanghai
507 Zhengmin Road
200433 Shanghai, China
e-mail: xlxljia@126.com

Submitted: 17.02.2014
Accepted: 11.04.2014
Copyright: © 2015 Termedia Sp. z o. o. This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) License (http://creativecommons.org/licenses/by-nc-sa/4.0/), allowing third parties to copy and redistribute the material in any medium or format and to remix, transform, and build upon the material, provided the original work is properly cited and states its license.
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