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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">KJIM</journal-id>
<journal-title-group>
<journal-title>The Korean Journal of Internal Medicine</journal-title><abbrev-journal-title>Korean J Intern Med</abbrev-journal-title></journal-title-group>
<issn pub-type="ppub">1226-3303</issn>
<issn pub-type="epub">2005-6648</issn>
<publisher>
<publisher-name>The Korean Association of Internal Medicine</publisher-name></publisher></journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3904/kjim.2015.158</article-id>
<article-id pub-id-type="publisher-id">kjim-2015-158</article-id>
<article-categories>
<subj-group subj-group-type="heading"><subject>Original Article</subject>
<subj-group subj-group-type="heading"><subject>Hemato-oncology</subject></subj-group></subj-group>
</article-categories>
<title-group>
<article-title>Epidermal growth factor receptor mutation and pattern of brain metastasis in patients with non-small cell lung cancer</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name><surname>Baek</surname><given-names>Min Young</given-names></name>
<xref ref-type="aff" rid="af1-kjim-2015-158"><sup>1</sup></xref>
<xref ref-type="fn" rid="fn1-kjim-2015-158"><sup>&#x0002A;</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Ahn</surname><given-names>Hee Kyung</given-names></name>
<xref ref-type="aff" rid="af1-kjim-2015-158"><sup>1</sup></xref>
<xref ref-type="fn" rid="fn1-kjim-2015-158"><sup>&#x0002A;</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Park</surname><given-names>Kyu Ree</given-names></name>
<xref ref-type="aff" rid="af1-kjim-2015-158"><sup>1</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Park</surname><given-names>Hwa-Sun</given-names></name>
<xref ref-type="aff" rid="af2-kjim-2015-158"><sup>2</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Kang</surname><given-names>Shin Myung</given-names></name>
<xref ref-type="aff" rid="af3-kjim-2015-158"><sup>3</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Park</surname><given-names>Inkeun</given-names></name>
<xref ref-type="aff" rid="af1-kjim-2015-158"><sup>1</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Kim</surname><given-names>Young Saing</given-names></name>
<xref ref-type="aff" rid="af1-kjim-2015-158"><sup>1</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Hong</surname><given-names>Junshik</given-names></name>
<xref ref-type="aff" rid="af1-kjim-2015-158"><sup>1</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Sym</surname><given-names>Sun Jin</given-names></name>
<xref ref-type="aff" rid="af1-kjim-2015-158"><sup>1</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Park</surname><given-names>Jinny</given-names></name>
<xref ref-type="aff" rid="af1-kjim-2015-158"><sup>1</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Lee</surname><given-names>Jae Hoon</given-names></name>
<xref ref-type="aff" rid="af1-kjim-2015-158"><sup>1</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Shin</surname><given-names>Dong Bok</given-names></name>
<xref ref-type="aff" rid="af1-kjim-2015-158"><sup>1</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Cho</surname><given-names>Eun Kyung</given-names></name>
<xref ref-type="corresp" rid="c1-kjim-2015-158"/>
<xref ref-type="aff" rid="af1-kjim-2015-158"><sup>1</sup></xref>
</contrib>
<aff id="af1-kjim-2015-158">
<label>1</label>Division of Hematology and Oncology, Department of Internal Medicine, Gachon University Gil Medical Center, Incheon, <country>Korea</country></aff>
<aff id="af2-kjim-2015-158">
<label>2</label>Department of Internal Medicine, Gachon University Gil Medical Center, Incheon, <country>Korea</country></aff>
<aff id="af3-kjim-2015-158">
<label>3</label>Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Gachon University Gil Medical Center, Incheon, <country>Korea</country></aff>
</contrib-group>
<author-notes>
<corresp id="c1-kjim-2015-158">Correspondence to Eun Kyung Cho, M.D. Division of Hematology and Oncology, Department of Internal Medicine, Gachon University Gil Medical Center, 21 Namdongdaero 774beon-gil, Namdong-gu, Incheon 21565, Korea Tel: +82-32-460-8507 Fax: +82-32-460-2391 E-mail: <email>ekcho@gilhospital.com</email></corresp>
<fn id="fn1-kjim-2015-158"><label>&#x0002A;</label><p>These authors contributed equally to this work.</p></fn>
</author-notes>
<pub-date pub-type="ppub">
<month>1</month>
<year>2018</year></pub-date>
<pub-date pub-type="epub">
<day>20</day>
<month>4</month>
<year>2016</year></pub-date>
<volume>33</volume>
<issue>1</issue>
<fpage>168</fpage>
<lpage>175</lpage>
<history>
<date date-type="received">
<day>6</day>
<month>6</month>
<year>2015</year></date>
<date date-type="rev-recd">
<day>18</day>
<month>8</month>
<year>2015</year></date>
<date date-type="accepted">
<day>19</day>
<month>10</month>
<year>2015</year></date>
</history>
<permissions>
<copyright-statement>Copyright &#x000A9; 2018 The Korean Association of Internal Medicine</copyright-statement>
<copyright-year>2018</copyright-year>
<license>
<license-p>This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (<ext-link ext-link-type="uri" xlink:href="http://creativecommons.org/licenses/by-nc/3.0/">http://creativecommons.org/licenses/by-nc/3.0/</ext-link>) which permits unrestricted noncommercial use, distribution, and reproduction in any medium, provided the original work is properly cited.</license-p></license></permissions>
<abstract>
<sec><title>Background/Aims</title>
<p>We investigated the time taken for patients with metastatic non-small cell lung cancer (NSCLC) to develop brain metastases (BM), as well as their subsequent overall median survival following diagnosis, considering the epidermal growth factor receptor (<italic>EGFR</italic>) mutational status.</p></sec>
<sec><title>Methods</title>
<p>We retrospectively investigated the medical records of 259 patients diagnosed with advanced NSCLC from January 2010 to August 2013, who were tested for <italic>EGFR</italic> mutations. The time from the diagnosis of advanced NSCLC to the development of BM and the overall median survival after BM development (BM-OS) were evaluated and compared by <italic>EGFR</italic> mutational status.</p></sec>
<sec><title>Results</title>
<p>Sixty-seven patients (25.9%) developed BM. Synchronous BM occurred more often in patients with <italic>EGFR</italic> mutation type (MT) (n &#x0003d; 20, 27.4%) compared with <italic>EGFR</italic> wild type (WT) (n &#x0003d; 27, 14.5%, <italic>p</italic> &lt; 0.009). The median BM-OS was significantly longer in patients with <italic>EGFR</italic> MT than in those with <italic>EGFR</italic> WT (25.7 months vs. 3.8 months, <italic>p</italic> &lt; 0.001), and a similar trend was noticed for patients with synchronous BM (25.7 months for <italic>EGFR</italic> MT vs. 6.8 months for <italic>EGFR</italic> WT, <italic>p</italic> &lt; 0.001). However, in patients with metachronous BM development, the difference in BM-OS between patients with <italic>EGFR</italic> MT (14.6 months) and <italic>EGFR</italic> WT (2.5 months) did not reach statistical significance (<italic>p</italic> &#x0003d; 0.230).</p></sec>
<sec><title>Conclusions</title>
<p>Synchronous BM was more common in NSCLC patients with <italic>EGFR</italic> MT than in those with <italic>EGFR</italic> WT. However, <italic>EGFR</italic> mutations were associated with significantly longer median BM-OS, especially when the brain was the first metastatic site.</p></sec>
</abstract>
<kwd-group>
<kwd>Receptor, epidermal growth factor</kwd>
<kwd>Carcinoma, non-small-cell lung</kwd>
<kwd>Brain metastases</kwd>
<kwd>Prognosis</kwd>
</kwd-group>
</article-meta></front>
<body>
<sec sec-type="intro">
<title>INTRODUCTION</title>
<p>Brain metastases (BM) are a critical complication of non-small cell lung cancer (NSCLC), because this is the most common primary cancer leading to BM. The presence of BM in patients with NSCLC is associated with poor prognosis, with a median survival of only 7 months recorded for these patients, despite whole-brain radiation therapy &#x0005b;<xref ref-type="bibr" rid="b1-kjim-2015-158">1</xref>&#x0005d;.</p>
<p>NSCLC with epidermal growth factor receptor (<italic>EGFR</italic>) mutations comprises a distinct subgroup of the disease, associated with significant sensitivity to <italic>EGFR</italic>-tyrosine kinase inhibitors (TKIs) and improved overall and progression-free survival when treated with <italic>EGFR</italic>-TKIs &#x0005b;<xref ref-type="bibr" rid="b2-kjim-2015-158">2</xref>-<xref ref-type="bibr" rid="b4-kjim-2015-158">4</xref>&#x0005d;. Although BM occurs in a substantial number of NSCLC cases with <italic>EGFR</italic> mutations, the relationship between <italic>EGFR</italic> mutations and the risk of BM occurrence as well as the associated prognosis is not clear, and only retrospective studies in this regard are currently reported in the literature. In several of these retrospective studies, <italic>EGFR</italic> mutations have been found to be associated with a higher risk of BM development &#x0005b;<xref ref-type="bibr" rid="b5-kjim-2015-158">5</xref>,<xref ref-type="bibr" rid="b6-kjim-2015-158">6</xref>&#x0005d; as well as longer overall median survival from the time of BM diagnosis than those with <italic>EGFR</italic> wild type (WT) &#x0005b;<xref ref-type="bibr" rid="b6-kjim-2015-158">6</xref>-<xref ref-type="bibr" rid="b11-kjim-2015-158">11</xref>&#x0005d;. However, the results from these studies are inconsistent &#x0005b;<xref ref-type="bibr" rid="b12-kjim-2015-158">12</xref>,<xref ref-type="bibr" rid="b13-kjim-2015-158">13</xref>&#x0005d;. Although relatively few studies have examined the time from the diagnosis of NSCLC to BM development, the time was estimated from the initial diagnosis of NSCLC, irrespective of the stage, and not from the time of diagnosis of metastatic NSCLC.</p>
<p>The aim of this study was to investigate the incidence, timing, and median overall survival (OS) associated with BM in patients with metastatic NSCLC harboring <italic>EGFR</italic> mutations compared to those exhibiting WT <italic>EGFR</italic>.</p>
</sec>
<sec>
<title>METHODS</title>
<sec>
<title>Patients</title>
<p>We retrospectively reviewed the medical records of patients from a single healthcare center who were diagnosed with NSCLC stage IV (according to the 7th American Joint Committee on Cancer &#x0005b;AJCC&#x0005d; Cancer Staging System) between January 2010 and August 2013 whose <italic>EGFR</italic> mutational status was known. Every patient underwent brain magnetic resonance imaging when first diagnosed with metastatic lung cancer, irrespective of the presence of symptoms of BM. During the course of the disease, brain imaging was performed only when BM were suspected. Data of clinical characteristics including sex, age, Eastern Cooperative Oncology Group performance status, history of smoking, the date of diagnosis of BM, symptoms of BM, treatment, and survival time were obtained from medical records or from the records of the national health insurance system. Patient observation continued through May 2015. This study was approved by the Institutional Review Board of Gachon University Gil Medical Center.</p>
</sec>
<sec>
<title><italic>EGFR</italic> mutational analysis</title>
<p>Tumor DNA was acquired from paraffin-embedded cancer tissue and amplified by polymerase chain reaction (PCR). For the mutational analysis of the <italic>EGFR</italic> gene (exons 18-21) in the latter samples, direct sequencing was performed on samples collected in 2011 and 2012. In 2010, <italic>EGFR</italic> mutation analysis was not routine and was performed at the physician&#x02019;s discretion. Since 2011, it has been performed in nearly every patient with metastatic NSCLC with sufficient tumor DNA. Prior to 2013, the Big Dye Terminator v 1.1 kit, together with an ABI 3130xl genetic analyzer (both from Applied Biosystems, Foster City, CA, USA), was used for bidirectional sequencing of the tumor DNA samples. Since 2013, the peptide nucleic acid (PNA)-mediated real-time PCR clamping method was used, involving the PNA Clamp TM <italic>EGFR</italic> Mutation Detection Kit (PANAGENE Inc., Daejeon, Korea).</p>
</sec>
<sec>
<title>Statistical analysis</title>
<p>Categorical variables were compared using a chi-square test. For the patients who did not have BM at initial diagnosis, time to brain metastases (TTBM) was calculated from the date of metastatic NSCLC diagnosis to the date of the first occurrence of BM. OS of a patient was defined as the time between diagnosis of metastatic NSCLC and death of the patient (from any cause) or last date of clinic visit. BM-OS, on the other hand, was calculated from the time of diagnosis of the first BM to the time of death of the patient (from any cause) or last date of clinic visit. Survival time was estimated by the Kaplan-Meier method and was compared with a log-rank test. Follow-up duration was estimated using the Kaplan-Meier estimate of potential follow-up &#x0005b;<xref ref-type="bibr" rid="b14-kjim-2015-158">14</xref>&#x0005d;.</p>
</sec>
</sec>
<sec sec-type="results">
<title>RESULTS</title>
<sec>
<title>Patient characteristics</title>
<p>We retrospectively identified 259 patients with metastatic NSCLC with known <italic>EGFR</italic> mutation status using available medical records. <italic>EGFR</italic> mutations were found in 73 patients. The most common <italic>EGFR</italic> mutations were exon 19 deletions (n &#x0003d; 41, 56.2%) and the exon 21 point mutation L858R (n &#x0003d; 23, 31.5%). Most patients had adenocarcinoma (n &#x0003d; 180, 70.0%). The clinical characteristics of these patients are listed in <xref rid="t1-kjim-2015-158" ref-type="table">Table 1</xref>.</p>
</sec>
<sec>
<title>BM development and <italic>EGFR</italic> mutations</title>
<p>Sixty-seven patients were diagnosed with BM. The median estimated potential follow-up duration for those patients with BM was 41.4 months. During the disease course, 37.0% (n &#x0003d; 27) of patients with <italic>EGFR</italic> mutations and 21.5% (n &#x0003d; 40) of those with <italic>EGFR</italic> WT developed BM (<italic>p</italic> &lt; 0.006). Among 27 BM patients with <italic>EGFR</italic> mutations, 25 patients had the L858R mutation or deletion in exon 19, while the remaining two patients had the G719X mutation in exon 18.</p>
<p>Among 67 patients with BM, the brain was the first site of metastasis in 47 patients (70.1%). Synchronous BM was significantly more common in patients with <italic>EGFR</italic> mutations (n &#x0003d; 20, 27.4% of all 73 patients with <italic>EGFR</italic> mutations) than in patients with <italic>EGFR</italic> WT (n &#x0003d; 27, 14.5% of 186 patients with <italic>EGFR</italic> WT, <italic>p</italic> &lt; 0.009) (<xref rid="t1-kjim-2015-158" ref-type="table">Table 1</xref>). The prevalence of metachronous BM, however, did not appear to differ according to <italic>EGFR</italic> mutational status. In patients with metachronous development of BM, TTBM did not differ significantly according to <italic>EGFR</italic> mutational status (median TTBM 13.4 months for <italic>EGFR</italic> mutations vs. 8.8 months for <italic>EGFR</italic> WT, <italic>p</italic> &lt; 0.229) (<xref rid="f1-kjim-2015-158" ref-type="fig">Fig. 1</xref>).</p>
<p>The characteristics of BM by <italic>EGFR</italic> mutational status are displayed in <xref rid="t2-kjim-2015-158" ref-type="table">Table 2</xref>. Patients with <italic>EGFR</italic> mutation type (MT) were more likely to belong to the female sex, and had better performance status compared to patients with <italic>EGFR</italic> WT. The presence of symptoms of BM, the number of BM lesions, and the treatment were not significantly different between <italic>EGFR</italic> MT and <italic>EGFR</italic> WT patients.</p>
</sec>
<sec>
<title>Association between <italic>EGFR</italic> mutations and survival following BM</title>
<p>At the time of this analysis, 52 of the 67 patients (77.6%) with BM had died, 14 patients remained alive, and one patient was lost to follow-up. The median OS of all 67 BM patients was 13.7 months. OS did not differ significantly according to the timing of BM development (median OS 12.1 months for the synchronous BM group vs. 14.0 months for the metachronous BM group). However, the median BM-OS in those patients who displayed metachronous BM (n &#x0003d; 20) was only 2.5 months.</p>
<p><italic>EGFR</italic> mutations were associated both with longer OS (median OS 28.6 months in <italic>EGFR</italic> MT vs. 9.1 months in <italic>EGFR</italic> WT, <italic>p</italic> &lt; 0.001) (<xref rid="f2-kjim-2015-158" ref-type="fig">Fig. 2A</xref>) and longer BM-OS (median BM-OS 25.7 months in <italic>EGFR</italic> mutations vs. 3.8 months in <italic>EGFR</italic> WT, <italic>p</italic> &lt; 0.001) (<xref rid="f2-kjim-2015-158" ref-type="fig">Fig. 2B</xref>). In patients with synchronous BM, the survival after BM development was longer in <italic>EGFR</italic> MT than in <italic>EGFR</italic> WT patients (median BM-OS 25.7 months vs. 6.8 months, respectively; <italic>p</italic> &lt; 0.001) (<xref rid="f3-kjim-2015-158" ref-type="fig">Fig. 3A</xref>). In patients with metachronous BM, BM-OS in patients with <italic>EGFR</italic> mutations tended towards longer OS (median BM-OS 14.5 months for <italic>EGFR</italic> MT vs. 2.5 months for <italic>EGFR</italic> WT, <italic>p</italic> &#x0003d; 0.230) (<xref rid="f3-kjim-2015-158" ref-type="fig">Fig. 3B</xref>), but it did not reach statistical significance. Cause of death could be determined for 28 (53.8%) of the original cohort of NSCLC patients with BM. Most patients (n &#x0003d; 12) had systemic progression with stable BM at the time of death. Seven patients died of progression of BM at time of death (one patient with <italic>EGFR</italic> MT vs. six with <italic>EGFR</italic> WT).</p>
</sec>
</sec>
<sec sec-type="discussion">
<title>DISCUSSION</title>
<p>The current study demonstrated that <italic>EGFR</italic> mutations in metastatic NSCLC patients were associated with a high likelihood of BM, and that such mutations were linked to higher median survival after BM development, especially in patients with synchronous BM development. On the other hand, in patients with metachronous BM, TTBM was not significantly different according to <italic>EGFR</italic> mutation status.</p>
<p>Most studies on BM and <italic>EGFR</italic> mutations, including ours, assess <italic>EGFR</italic> mutations from extracranial tumor tissue, which has been validated by Luo et al. &#x0005b;<xref ref-type="bibr" rid="b13-kjim-2015-158">13</xref>&#x0005d;. They demonstrated a high concordance rate (93.3%) of <italic>EGFR</italic> mutational status between BM and extracranial tumor tissue.</p>
<p>In line with studies &#x0005b;<xref ref-type="bibr" rid="b5-kjim-2015-158">5</xref>,<xref ref-type="bibr" rid="b6-kjim-2015-158">6</xref>,<xref ref-type="bibr" rid="b10-kjim-2015-158">10</xref>&#x0005d; that reported synchronous BM presence in 11% to 16% of stage I to IV patients, more commonly in patients with <italic>EGFR</italic> mutations, our study showed that <italic>EGFR</italic> mutations were associated with a higher incidence of BM. Synchronous BM was present in 18.1% of the patients with stage IV NSCLC and was more common in patients with <italic>EGFR</italic> mutations (27.4%) than in those with <italic>EGFR</italic> WT (14.5%). This increased risk of BM associated with <italic>EGFR</italic> mutations has also previously been observed in patients with NSCLC of earlier stages who underwent curative resection &#x0005b;<xref ref-type="bibr" rid="b5-kjim-2015-158">5</xref>,<xref ref-type="bibr" rid="b6-kjim-2015-158">6</xref>&#x0005d;. The reasons for the high propensity of BM in <italic>EGFR</italic> mutant NSCLC remain unclear. Plausible underlying mechanisms for the increase in BM include activation of <italic>EGFR</italic> or MET receptor tyrosine kinase-associated signaling pathways, as has previously been reported in both NSCLC and breast cancer. In particular, <italic>EGFR</italic> activation in breast cancer cells has been shown to be associated with a higher capability of migration and invasion to the brain &#x0005b;<xref ref-type="bibr" rid="b15-kjim-2015-158">15</xref>&#x0005d;, and Met protein activation has been demonstrated to be associated with a higher risk of BM in patients with NSCLC &#x0005b;<xref ref-type="bibr" rid="b16-kjim-2015-158">16</xref>&#x0005d;.</p>
<p>In agreement with our results, for patients with BM from primary NSCLC, <italic>EGFR</italic> mutations have been reported to be associated with better survival from the time of BM development (15 to 25 months) &#x0005b;<xref ref-type="bibr" rid="b6-kjim-2015-158">6</xref>-<xref ref-type="bibr" rid="b10-kjim-2015-158">10</xref>&#x0005d; than patients with WT <italic>EGFR</italic> (7 months) &#x0005b;<xref ref-type="bibr" rid="b1-kjim-2015-158">1</xref>&#x0005d;. It is not clear whether the prolonged BM-OS in patients with <italic>EGFR</italic> mutations is due to the improved OS from better control of extracranial disease with <italic>EGFR</italic>-TKIs, due to the favorable role of <italic>EGFR</italic>-TKIs in treating BM itself, or due to differences in the biology and behavior between <italic>EGFR</italic> mutated and WT NSCLC cells. Regarding the efficacy of <italic>EGFR</italic>-TKIs on intracranial disease in NSCLC, there is a substantial intracranial response &#x0005b;<xref ref-type="bibr" rid="b17-kjim-2015-158">17</xref>,<xref ref-type="bibr" rid="b18-kjim-2015-158">18</xref>&#x0005d;; however, central nervous system (CNS) penetration of gefitinib or erlotinib is limited in pharmacokinetic studies &#x0005b;<xref ref-type="bibr" rid="b19-kjim-2015-158">19</xref>,<xref ref-type="bibr" rid="b20-kjim-2015-158">20</xref>&#x0005d;. The role of <italic>EGFR</italic>-TKIs in the prevention of BM progression is supported by an observation of a lower rate of CNS progression (hazard ratio, 0.56) in NSCLC patients with activating <italic>EGFR</italic> mutations treated with <italic>EGFR</italic>-TKIs compared with those treated with conventional chemotherapy &#x0005b;<xref ref-type="bibr" rid="b21-kjim-2015-158">21</xref>&#x0005d;. It must be stated; however, that it is difficult to distinguish between the effects of systemic and local treatment in published retrospective studies.</p>
<p>Although <italic>EGFR</italic> mutations are associated with better survival in populations with BM, BM itself remains associated with lower survival compared to those without BM in the patient group with <italic>EGFR</italic> mutations &#x0005b;<xref ref-type="bibr" rid="b22-kjim-2015-158">22</xref>&#x0005d;. Prognostic assessment is especially important in patients with BM in order to implement suitable treatment strategies. <italic>EGFR</italic> mutations have an additional prognostic impact independent of well-known prognostic indices such as the lung-specific graded prognostic assessment (GPA) index &#x0005b;<xref ref-type="bibr" rid="b8-kjim-2015-158">8</xref>&#x0005d; or recursive partitioning analysis class &#x0005b;<xref ref-type="bibr" rid="b7-kjim-2015-158">7</xref>&#x0005d;. Incorporation of <italic>EGFR</italic> mutational status into the prognostic estimation of BM from NSCLC should be considered in the future, in the same manner as for the molecular subtypes of breast cancer, which has been included in breast-specific GPA scoring criteria &#x0005b;<xref ref-type="bibr" rid="b1-kjim-2015-158">1</xref>&#x0005d;.</p>
<p>Interestingly, we found that the favorable effect of <italic>EGFR</italic> mutations on survival from BM diagnosis was lacking in NSCLC patients who developed metachronous BM, which was in agreement with previous findings by Shin et al. &#x0005b;<xref ref-type="bibr" rid="b5-kjim-2015-158">5</xref>&#x0005d;. This phenomenon may be due to different mechanisms or drug sensitivities between synchronous and metachronous BM or it may be because diagnosis of metachronous BM usually accompanies CNS symptoms, while synchronous BMs are often asymptomatic. In contrast, overall risk of BM was higher in <italic>EGFR</italic> mutant NSCLC patients &#x0005b;<xref ref-type="bibr" rid="b5-kjim-2015-158">5</xref>,<xref ref-type="bibr" rid="b6-kjim-2015-158">6</xref>,<xref ref-type="bibr" rid="b10-kjim-2015-158">10</xref>&#x0005d;. In those with metachronous BM, TTBM development seemed to be longer in <italic>EGFR</italic> mutant NSCLC than in <italic>EGFR</italic> WT &#x0005b;<xref ref-type="bibr" rid="b6-kjim-2015-158">6</xref>,<xref ref-type="bibr" rid="b7-kjim-2015-158">7</xref>&#x0005d;, which was observed in this study too. In former studies &#x0005b;<xref ref-type="bibr" rid="b6-kjim-2015-158">6</xref>,<xref ref-type="bibr" rid="b7-kjim-2015-158">7</xref>&#x0005d;, TTBM was calculated from the initial diagnosis of NSCLC stage I to IV, which was estimated more uniformly from the initial diagnosis of metastatic stage in this study. The opposite characteristics of <italic>EGFR</italic> MT, namely, a higher risk of synchronous BM yet a longer TTBM, may be due to delayed BM progression owing to <italic>EGFR</italic>-TKI treatment in <italic>EGFR</italic> mutant NSCLC &#x0005b;<xref ref-type="bibr" rid="b7-kjim-2015-158">7</xref>,<xref ref-type="bibr" rid="b21-kjim-2015-158">21</xref>&#x0005d;.</p>
<p>In conclusion, we report that <italic>EGFR</italic> mutations in metastatic NSCLC were associated with a greater frequency of synchronous BM and with significantly longer survival from the time of BM diagnosis when compared with <italic>EGFR</italic> WT, the latter trend being more pronounced in those patients with synchronous versus metachronous BM. We therefore propose that <italic>EGFR</italic> mutational status should be considered when assessing possible treatment strategies for BM in patients with NSCLC.</p>
</sec>
<sec>
<title>KEY MESSAGE</title>
<boxed-text position="float" orientation="portrait">
<p>1. Synchronous brain metastases were more common in metastatic non-small cell lung cancer (NSCLC) patients with epidermal growth factor receptor (<italic>EGFR</italic>) mutations than in those with wild type <italic>EGFR</italic>.</p>
<p>2. <italic>EGFR</italic> mutations were associated with significantly longer overall survival from the time of brain metastases diagnosis in metastatic NSCLC patients.</p>
</boxed-text>
</sec>
</body>
<back>
<fn-group>
<fn fn-type="conflict">
<p>No potential conflict of interest relevant to this article was reported.</p></fn></fn-group>
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<sec sec-type="display-objects">
<title>Figures and Tables</title>
<fig id="f1-kjim-2015-158" position="float">
<label>Figure 1.</label><caption><p>Time to brain metastases compared by epidermal growth factor receptor (<italic>EGFR</italic>) mutational status in 20 nonsmall cell lung cancer patients with metachronous brain metastases. <italic>EGFR</italic> mutation type (MT, dashed line) vs. <italic>EGFR</italic> wild type (WT, solid line).</p></caption>
<graphic xlink:href="kjim-2015-158f1.tif"/>
</fig>
<fig id="f2-kjim-2015-158" position="float">
<label>Figure 2.</label><caption><p>Investigating the relationship between epidermal growth factor receptor (<italic>EGFR</italic>) status and overall survival (OS) of non-small cell lung cancer (NSCLC) patients. OS of patients from the time of diagnosis of stage IV NSCLC (A) or diagnosis of brain metastases (BM-OS) (B) compared by <italic>EGFR</italic> mutational status. <italic>EGFR</italic> mutation type (MT, dashed line) vs. <italic>EGFR</italic> wild type (WT, solid line).</p></caption>
<graphic xlink:href="kjim-2015-158f2.tif"/>
</fig>
<fig id="f3-kjim-2015-158" position="float">
<label>Figure 3.</label><caption><p>Overall survival of non-small cell lung cancer patients according to timing of brain metastases. Overall survival from the time of diagnosis of brain metastases (BM-OS) by epidermal growth factor receptor (<italic>EGFR</italic>) mutational status among patients with synchronous (A) or metachronous (B) development of brain metastases. <italic>EGFR</italic> mutant type (MT, dashed line) vs. <italic>EGFR</italic> (WT, solid line).</p></caption>
<graphic xlink:href="kjim-2015-158f3.tif"/>
</fig>
<table-wrap id="t1-kjim-2015-158" position="float">
<label>Table 1.</label>
<caption><p>Patient characteristics</p></caption>
<table rules="groups" frame="hsides">
<thead><tr>
<th align="left" valign="middle">Characteristic</th>
<th align="center" valign="middle">Total (n = 259)</th>
<th align="center" valign="middle"><italic>EGFR</italic> MT (n = 73)</th>
<th align="center" valign="middle"><italic>EGFR</italic> WT (n = 186)</th>
<th align="center" valign="middle"><italic>p</italic> value</th>
</tr></thead>
<tbody>
<tr>
<td align="left" valign="top">Sex</td>
<td align="center" valign="top"></td>
<td align="center" valign="top"></td>
<td align="center" valign="top"></td>
<td align="center" valign="top"></td>
</tr>
<tr>
<td align="left" valign="top">&#x02003;Male</td>
<td align="center" valign="top">167 (64.5)</td>
<td align="center" valign="top">27 (37.0)</td>
<td align="center" valign="top">140 (75.3)</td>
<td align="center" valign="top">&lt; 0.001</td>
</tr>
<tr>
<td align="left" valign="top">&#x02003;Female</td>
<td align="center" valign="top">92 (35.5)</td>
<td align="center" valign="top">46 (63.0)</td>
<td align="center" valign="top">46 (24.7)</td>
<td align="center" valign="top"></td>
</tr>
<tr>
<td align="left" valign="top">Age, yr</td>
<td align="center" valign="top">68 (37&#x02013;89)</td>
<td align="center" valign="top">66 (37&#x02013;87)</td>
<td align="center" valign="top">68 (37&#x02013;89)</td>
<td align="center" valign="top">0.155</td>
</tr>
<tr>
<td align="left" valign="top">Smoking history</td>
<td align="center" valign="top"></td>
<td align="center" valign="top"></td>
<td align="center" valign="top"></td>
<td align="center" valign="top">&lt; 0.001</td>
</tr>
<tr>
<td align="left" valign="top">&#x02003;Never-smoker</td>
<td align="center" valign="top">106 (40.9)</td>
<td align="center" valign="top">48 (65.8)</td>
<td align="center" valign="top">58 (31.2)</td>
<td align="center" valign="top"></td>
</tr>
<tr>
<td align="left" valign="top">&#x02003;Former smoker</td>
<td align="center" valign="top">68 (26.3)</td>
<td align="center" valign="top">15 (20.5)</td>
<td align="center" valign="top">53 (28.5)</td>
<td align="center" valign="top"></td>
</tr>
<tr>
<td align="left" valign="top">&#x02003;Current smoker</td>
<td align="center" valign="top">85 (32.8)</td>
<td align="center" valign="top">10 (13.7)</td>
<td align="center" valign="top">75 (40.3)</td>
<td align="center" valign="top"></td>
</tr>
<tr>
<td align="left" valign="top">Pathologic histology</td>
<td align="center" valign="top"></td>
<td align="center" valign="top"></td>
<td align="center" valign="top"></td>
<td align="center" valign="top">&lt; 0.001</td>
</tr>
<tr>
<td align="left" valign="top">&#x02003;Adenocarcinoma</td>
<td align="center" valign="top">180 (70.0)</td>
<td align="center" valign="top">64 (87.7)</td>
<td align="center" valign="top">116 (62.4)</td>
<td align="center" valign="top"></td>
</tr>
<tr>
<td align="left" valign="top">&#x02003;Squamous</td>
<td align="center" valign="top">40 (15.4)</td>
<td align="center" valign="top">2 (2.7)</td>
<td align="center" valign="top">38 (20.4)</td>
<td align="center" valign="top"></td>
</tr>
<tr>
<td align="left" valign="top">&#x02003;Large cell</td>
<td align="center" valign="top">27 (10.4)</td>
<td align="center" valign="top">6 (8.2)</td>
<td align="center" valign="top">21 (11.3)</td>
<td align="center" valign="top"></td>
</tr>
<tr>
<td align="left" valign="top">&#x02003;Other</td>
<td align="center" valign="top">12 (4.6)</td>
<td align="center" valign="top">1 (1.4)</td>
<td align="center" valign="top">11 (5.9)</td>
<td align="center" valign="top"></td>
</tr>
<tr>
<td align="left" valign="top">Type of <italic>EGFR</italic> mutation</td>
<td align="center" valign="top"></td>
<td align="center" valign="top"></td>
<td align="center" valign="top"></td>
<td align="center" valign="top"></td>
</tr>
<tr>
<td align="left" valign="top">&#x02003;Deletion in exon 19</td>
<td align="center" valign="top"></td>
<td align="center" valign="top">41 (56.2)</td>
<td align="center" valign="top"></td>
<td align="center" valign="top"></td>
</tr>
<tr>
<td align="left" valign="top">&#x02003;L858R</td>
<td align="center" valign="top"></td>
<td align="center" valign="top">23 (31.5)</td>
<td align="center" valign="top"></td>
<td align="center" valign="top"></td>
</tr>
<tr>
<td align="left" valign="top">&#x02003;Others</td>
<td align="center" valign="top"></td>
<td align="center" valign="top">9 (12.3)</td>
<td align="center" valign="top"></td>
<td align="center" valign="top"></td>
</tr>
<tr>
<td align="left" valign="top">Brain metastases</td>
<td align="center" valign="top">67 (25.9)</td>
<td align="center" valign="top">27 (37.0)</td>
<td align="center" valign="top">40 (21.5)</td>
<td align="center" valign="top">&lt; 0.006</td>
</tr>
<tr>
<td align="left" valign="top">&#x02003;Synchronous BM</td>
<td align="center" valign="top"></td>
<td align="center" valign="top">20 (27.4)</td>
<td align="center" valign="top">27 (14.5)</td>
<td align="center" valign="top">&lt; 0.009</td>
</tr>
<tr>
<td align="left" valign="top">&#x02003;Metachronous BM</td>
<td align="center" valign="top"></td>
<td align="center" valign="top">7 (9.6)</td>
<td align="center" valign="top">13 (7.0)</td>
<td align="center" valign="top">&lt; 0.578</td>
</tr>
</tbody></table>
<table-wrap-foot>
<fn><p>Values are presented as number (%) or median (range).</p>
<p>EGFR, epidermal growth factor receptor; MT, mutation type; WT, wild type; BM, brain metastasis.</p></fn>
</table-wrap-foot>
</table-wrap>
<table-wrap id="t2-kjim-2015-158" position="float">
<label>Table 2.</label>
<caption><p>Characteristics of patients developed brain metastases</p></caption>
<table rules="groups" frame="hsides">
<thead><tr>
<th align="left" valign="middle">Characteristic</th>
<th align="center" valign="middle">Total (n = 67)</th>
<th align="center" valign="middle"><italic>EGFR</italic> MT (n = 27)</th>
<th align="center" valign="middle"><italic>EGFR</italic> WT (n = 40)</th>
<th align="center" valign="middle"><italic>p</italic> value</th>
</tr></thead>
<tbody>
<tr>
<td align="left" valign="top">Sex</td>
<td align="center" valign="top"></td>
<td align="center" valign="top"></td>
<td align="center" valign="top"></td>
<td align="center" valign="top">0.014</td>
</tr>
<tr>
<td align="left" valign="top">&#x02003;Male</td>
<td align="center" valign="top">35 (52.2)</td>
<td align="center" valign="top">9 (33.3)</td>
<td align="center" valign="top">26 (65.0)</td>
<td align="center" valign="top"></td>
</tr>
<tr>
<td align="left" valign="top">&#x02003;Female</td>
<td align="center" valign="top">32 (47.8)</td>
<td align="center" valign="top">18 (66.6)</td>
<td align="center" valign="top">14 (35.0)</td>
<td align="center" valign="top"></td>
</tr>
<tr>
<td align="left" valign="top">Age, yr</td>
<td align="center" valign="top">68 (41&#x02013;85)</td>
<td align="center" valign="top">64 (45&#x02013;83)</td>
<td align="center" valign="top">68 (41&#x02013;85)</td>
<td align="center" valign="top">0.335</td>
</tr>
<tr>
<td align="left" valign="top">ECOG PS</td>
<td align="center" valign="top"></td>
<td align="center" valign="top"></td>
<td align="center" valign="top"></td>
<td align="center" valign="top">0.040</td>
</tr>
<tr>
<td align="left" valign="top">&#x02003;0&#x02013;1</td>
<td align="center" valign="top">56 (83.6)</td>
<td align="center" valign="top">26 (96.3)</td>
<td align="center" valign="top">30 (75.0)</td>
<td align="center" valign="top"></td>
</tr>
<tr>
<td align="left" valign="top">&#x02003;2&#x02013;3</td>
<td align="center" valign="top">11 (16.4)</td>
<td align="center" valign="top">1 (3.7)</td>
<td align="center" valign="top">10 (25.0)</td>
<td align="center" valign="top"></td>
</tr>
<tr>
<td align="left" valign="top">Smoking history</td>
<td align="center" valign="top"></td>
<td align="center" valign="top"></td>
<td align="center" valign="top"></td>
<td align="center" valign="top">0.013</td>
</tr>
<tr>
<td align="left" valign="top">&#x02003;Never-smoker</td>
<td align="center" valign="top">31 (46.3)</td>
<td align="center" valign="top">17 (63.0)</td>
<td align="center" valign="top">14 (35.0)</td>
<td align="center" valign="top"></td>
</tr>
<tr>
<td align="left" valign="top">&#x02003;Former smoker</td>
<td align="center" valign="top">16 (23.9)</td>
<td align="center" valign="top">7 (25.9)</td>
<td align="center" valign="top">9 (22.5)</td>
<td align="center" valign="top"></td>
</tr>
<tr>
<td align="left" valign="top">&#x02003;Current smoker</td>
<td align="center" valign="top">20 (29.9)</td>
<td align="center" valign="top">3 (11.1)</td>
<td align="center" valign="top">17 (42.5)</td>
<td align="center" valign="top"></td>
</tr>
<tr>
<td align="left" valign="top">Pathologic histology</td>
<td align="center" valign="top"></td>
<td align="center" valign="top"></td>
<td align="center" valign="top"></td>
<td align="center" valign="top">0.085</td>
</tr>
<tr>
<td align="left" valign="top">&#x02003;Adenocarcinoma</td>
<td align="center" valign="top">47 (70.1)</td>
<td align="center" valign="top">23 (85.2)</td>
<td align="center" valign="top">24 (60.0)</td>
<td align="center" valign="top"></td>
</tr>
<tr>
<td align="left" valign="top">&#x02003;Squamous</td>
<td align="center" valign="top">6 (9.0)</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">6 (15.0)</td>
<td align="center" valign="top"></td>
</tr>
<tr>
<td align="left" valign="top">&#x02003;Large cell</td>
<td align="center" valign="top">10 (14.9)</td>
<td align="center" valign="top">3 (11.1)</td>
<td align="center" valign="top">7 (17.5)</td>
<td align="center" valign="top"></td>
</tr>
<tr>
<td align="left" valign="top">&#x02003;Other</td>
<td align="center" valign="top">4 (6.0)</td>
<td align="center" valign="top">1 (3.7)</td>
<td align="center" valign="top">3 (7.5)</td>
<td align="center" valign="top"></td>
</tr>
<tr>
<td align="left" valign="top">Symptoms of BM</td>
<td align="center" valign="top"></td>
<td align="center" valign="top"></td>
<td align="center" valign="top"></td>
<td align="center" valign="top">0.803</td>
</tr>
<tr>
<td align="left" valign="top">&#x02003;Absent</td>
<td align="center" valign="top">30 (44.8)</td>
<td align="center" valign="top">13 (48.1)</td>
<td align="center" valign="top">17 (42.5)</td>
<td align="center" valign="top"></td>
</tr>
<tr>
<td align="left" valign="top">&#x02003;Present</td>
<td align="center" valign="top">37 (55.2)</td>
<td align="center" valign="top">14 (51.9)</td>
<td align="center" valign="top">23 (57.5)</td>
<td align="center" valign="top"></td>
</tr>
<tr>
<td align="left" valign="top"><italic>EGFR</italic> TKI treatment</td>
<td align="center" valign="top"></td>
<td align="center" valign="top"></td>
<td align="center" valign="top"></td>
<td align="center" valign="top"></td>
</tr>
<tr>
<td align="left" valign="top">&#x02003;1st line</td>
<td align="center" valign="top"></td>
<td align="center" valign="top">13 (48.1)</td>
<td align="center" valign="top"></td>
<td align="center" valign="top"></td>
</tr>
<tr>
<td align="left" valign="top">&#x02003;2nd line</td>
<td align="center" valign="top"></td>
<td align="center" valign="top">11 (40.7)</td>
<td align="center" valign="top"></td>
<td align="center" valign="top"></td>
</tr>
<tr>
<td align="left" valign="top">&#x02003;3rd line</td>
<td align="center" valign="top"></td>
<td align="center" valign="top">2 (7.4)</td>
<td align="center" valign="top"></td>
<td align="center" valign="top"></td>
</tr>
<tr>
<td align="left" valign="top">&#x02003;None</td>
<td align="center" valign="top"></td>
<td align="center" valign="top">1 (3.7)</td>
<td align="center" valign="top"></td>
<td align="center" valign="top"></td>
</tr>
<tr>
<td align="left" valign="top">Timing of BM</td>
<td align="center" valign="top"></td>
<td align="center" valign="top"></td>
<td align="center" valign="top"></td>
<td align="center" valign="top">0.599</td>
</tr>
<tr>
<td align="left" valign="top">&#x02003;Synchronous</td>
<td align="center" valign="top">47 (70.1)</td>
<td align="center" valign="top">20 (74.1)</td>
<td align="center" valign="top">27 (67.5)</td>
<td align="center" valign="top"></td>
</tr>
<tr>
<td align="left" valign="top">&#x02003;Metachronous</td>
<td align="center" valign="top">20 (29.9)</td>
<td align="center" valign="top">7 (25.9)</td>
<td align="center" valign="top">13 (32.5)</td>
<td align="center" valign="top"></td>
</tr>
<tr>
<td align="left" valign="top">No. of lesions</td>
<td align="center" valign="top"></td>
<td align="center" valign="top"></td>
<td align="center" valign="top"></td>
<td align="center" valign="top">0.741</td>
</tr>
<tr>
<td align="left" valign="top">&#x02003;Single</td>
<td align="center" valign="top">19 (28.4)</td>
<td align="center" valign="top">6 (22.2)</td>
<td align="center" valign="top">13 (32.5)</td>
<td align="center" valign="top"></td>
</tr>
<tr>
<td align="left" valign="top">&#x02003;2&#x02013;4</td>
<td align="center" valign="top">11 (16.4)</td>
<td align="center" valign="top">5 (18.5)</td>
<td align="center" valign="top">6 (15.0)</td>
<td align="center" valign="top"></td>
</tr>
<tr>
<td align="left" valign="top">&#x02003;&#x02265; 5</td>
<td align="center" valign="top">37 (55.2)</td>
<td align="center" valign="top">16 (59.3)</td>
<td align="center" valign="top">21 (52.5)</td>
<td align="center" valign="top"></td>
</tr>
<tr>
<td align="left" valign="top">Local treatment of BM</td>
<td align="center" valign="top"></td>
<td align="center" valign="top"></td>
<td align="center" valign="top"></td>
<td align="center" valign="top">0.896</td>
</tr>
<tr>
<td align="left" valign="top">&#x02003;WBRT</td>
<td align="center" valign="top">37 (55.2)</td>
<td align="center" valign="top">15 (55.6)</td>
<td align="center" valign="top">22 (55.0)</td>
<td align="center" valign="top"></td>
</tr>
<tr>
<td align="left" valign="top">&#x02003;SRS</td>
<td align="center" valign="top">11 (16.4)</td>
<td align="center" valign="top">5 (18.5)</td>
<td align="center" valign="top">6 (15.0)</td>
<td align="center" valign="top"></td>
</tr>
<tr>
<td align="left" valign="top">&#x02003;Surgery</td>
<td align="center" valign="top">4 (6.0)</td>
<td align="center" valign="top">2 (7.4)</td>
<td align="center" valign="top">2 (5.0)</td>
<td align="center" valign="top"></td>
</tr>
<tr>
<td align="left" valign="top">&#x02003;None</td>
<td align="center" valign="top">15 (22.4)</td>
<td align="center" valign="top">5 (18.5)</td>
<td align="center" valign="top">10 (25.0)</td>
<td align="center" valign="top"></td>
</tr>
</tbody></table>
<table-wrap-foot>
<fn><p>Values are presented as number (%) or median (range).</p>
<p>EGFR, epidermal growth factor receptor; MT, mutation type; WT, wild type; ECOG PS, Eastern Cooperative Oncology Group Performance status; BM, brain metastasis; TKI, tyrosine kinase inhibitor; WBRT, whole brain radiotherapy; SRS, stereotactic radiosurgery.</p></fn>
</table-wrap-foot>
</table-wrap>
</sec>
</back></article>