Abstract

Background

Molecular and genetic alterations of non-small-cell lung cancer (NSCLC) now play a vital role in patient care of this neoplasm. The authors focused on the impact of epidermal growth factor receptor mutation (EGFR-mt) status on the survival of patients after brain metastases (BMs) from NSCLC. The purpose of the study was to understand the most desirable management of BMs from NSCLC.

Methods

This was a retrospective observational study analyzing 647 patients with NSCLC, including 266 patients with BMs, diagnosed at our institute between January 2008 and December 2015. EGFR mutation status, overall survival (OS) following diagnosis, OS following BMs, duration from diagnosis to BMs, and other factors related to OS and survival after BMs were measured.

Results

Among 647 patients, 252 (38.8%) had EGFR mutations. The rate and frequency of developing BMs were higher in EGFR-mt patients compared with EGFR wildtype (EGFR-wt) patients. EGFR-mt patients showed longer median OS (22 vs 11 months, P < .001) and a higher frequency of BMs. Univariate and multivariate analyses revealed that good performance status, presence of EGFR-mt, single BM, and receiving local therapies were significantly associated with favorable prognosis following BM diagnosis. Single metastasis, compared with multiple metastases, exhibited a positive impact on patient survival after BMs in EGFR-mt patients, but not in EGFR-wt NSCLC patients.

Conclusions

Single BM with EGFR-mt performed better than other groups. Furthermore, effective local therapies were recommended to achieve better outcomes.

Key Points
  • An oligometastatic state exists only in EGFR-mt NSCLC patients.

  • BM develops within the initial 2–3 years from the diagnosis of NSCLC.

  • Local therapies were effective for survival after BMs.

Importance of the Study

The effectiveness of epidermal growth factor receptor tyrosine kinase inhibitors for BMs in EGFR-mt NSCLC patients has dramatically changed treatment strategies and significantly improved overall survival compared with conventional chemotherapy. Furthermore, the concept of oligometastasis has highlighted the importance of local therapies, such as stereotactic radiosurgery and other types of surgery. Using a Cox proportional hazards model, we showed that EGFR-mt NSCLC, single BM, and providing local therapy were associated with significantly longer survival after developing BMs. Single metastasis, compared with multiple metastases, exhibited a positive impact on patient survival after BMs in EGFR-mt patients, but not in EGFR-wt NSCLC patients.

Brain metastases (BMs) are a leading cause of death and imply a poor prognosis. For decades, patients with BMs were often palliatively treated with steroids and whole-brain radiation therapy (WBRT). The discovery of epidermal growth factor receptor tyrosine kinase inhibitors (EGFR-TKIs), however, has dramatically changed treatment strategies for EGFR-mutant non-small-cell lung cancer (NSCLC) patients and significantly improved progression-free survival (PFS) and overall survival (OS) compared with conventional chemotherapy.1–4 Likewise, the treatment outcome of BMs from lung cancers has also changed following this paradigm shift. EGFR-TKIs, such as erlotinib and osimertinib, can penetrate the blood–brain barrier5 and exhibit a pronounced treatment effect in patients with BMs.6,7 Currently, EGFR mutation status is regarded as a key prognostic factor of survival after the diagnosis of BMs.8

In addition to this novel paradigm, the concept of oligometastasis, initially proposed by Hellman and Weichselbaum in 1995,9,10 has highlighted the importance of local therapies, such as stereotactic radiosurgery (SRS) and other types of surgery.11 In patients undergoing surgery before WBRT with a limited number of BMs, the local disease control rate and OS were statistically increased in comparison to patients undergoing only WBRT (20% vs 52% and median 40 vs 15 weeks, respectively). According to 2 randomized controlled studies from Japan and Europe, OS did not differ between SRS alone and a combination of SRS and WBRT. Nowadays, the first choice of treatment for a limited number of BMs is SRS attempting to avoid cognitive impairment due to WBRT. Such treatment achieves favorable survival outcomes with 5-year OS, reaching 29.4% for patients with oligometastatic NSCLC.12 With improved survival outcomes of patients with BMs, it is now more important to understand the characteristics of NSCLC patients with BMs. The purpose of this study was to clarify the influence of EGFR mutation status and local therapies on the survival of NSCLC patients with BMs and to elucidate prognostic factors for the patient population.

Materials and Methods

Patients

This study was reviewed and approved by the Research Ethics Committee of Osaka International Cancer Institute (approval number: 1707109126). Written informed consent was obtained from all patients. All data were fully anonymized, and the protocol was conducted in agreement with the Declaration of Helsinki.

We retrospectively investigated patients diagnosed with NSCLC at our institute between January 2008 and December 2015. The inclusion criteria for this study were defined as follows: patients diagnosed with NSCLC, available EGFR mutation status, available computed tomography (CT) or magnetic resonance imaging (MRI) of the brain, and an observational period of 2 years or more. Among 676 NSCLC patients, we excluded 26 for lacking EGFR mutation testing and 3 for insufficient clinical data, such as CT or MRI, leaving a cohort of 647 patients in total for analysis.

The analysis was performed in 2 stages. First, we analyzed all 647 patients diagnosed with NSCLC to investigate temporal patterns in the occurrence of BMs. In the second stage, 266 patients who developed BMs were analyzed to reveal the prognostic impact of EGFR mutation status and treatment.

EGFR mutation testing was performed at LSI Medience Corporation using a peptide nucleic acid-locked nucleic acid PCR clamp method.13 The number of BMs was counted manually on contrast-enhanced CT or MRI performed at the time when BMs were initially identified.

Statistical Analysis

Statistical analysis was performed using JMP Pro version 14 (SAS Institute, Inc.). Fisher’s exact test for categorical variables was used to compare patient and disease characteristics according to EGFR mutation status. The Kaplan–Meier method using the log-rank test was used to analyze OS and survival duration after BMs. A Cox proportional hazards model was used to analyze the risk factors of developing BMs. A P-value of <0.05 was considered statistically significant.

Results

Demography of Patients With NSCLC

Table 1 presents the characteristics of 647 patients with NSCLC and 266 patients with NSCLC who developed BMs. There were 252 patients with EGFR-mutant (EGFR-mt) (38.8%) and 395 patients with EGFR-wild type (EGFR-wt) (61.1%) NSCLC. Nearly half of EGFR-mt NSCLC patients had an exon 19 deletion (50.7%), and most others had an L858R point mutation (47.6%). Of the 266 patients who developed BMs, there were 127 EGFR-mt (47.7%) and 139 EGFR-wt (52.3%). Histopathological specimens mainly showed adenocarcinoma (87.2%), followed by squamous cell carcinoma (9.3%). Treatment modalities for BMs from EGFR-mt NSCLC patients were comprised of EGFR-TKI (76.4%), surgical resection (6.3%), SRS (53.5%), WBRT (30.0%), and immune checkpoint inhibitors (ICIs) (4.0%). EGFR-mt NSCLC patients were administered with the following EGFR-TKIs: gefitinib (54.3%), erlotinib (62.2%), afatinib (17.3%), and osimertinib (8.7%). Treatment modalities for BMs from EGFR-wt patients were mainly SRS (59.7%), followed by WBRT (38.8%), surgical resection (13.7%), and ICIs (7.1%). BMs from EGFR-wt NSCLC were significantly more frequently surgically resected than those from EGFR-mt NSCLC patients (P = .047, Fisher’s exact test).

Table 1.

The Characteristics of 647 Patients With NSCLC and 266 Patients With NSCLC Who Developed BMs

Patient Characteristics
NSCLCEGFR mutated (n = 252)EGFR wildtype (n = 395)All (N = 647)
N (%)N (%)NP
Age at diagnosis, years
 Median63.8 ± 9.764.1 ± 10.364.0 ± 10.1
 Female108 (42.9)136 (27.5)
 Male144 (57.1)259 (72.5)
EGFR mutation
 Ex19Del128 (50.7)
 L858R120 (47.6)
 Uncommon mutation4 (1.70)
NSCLC with BMEGFR mutated (n = 127)EGFR wildtype (n = 139)All (N = 266)
N (%)N (%)NP
Age at diagnosis, years
 Median63.0 ± 9.9860.9 ± 10.461.9 ± 10.2
 Female75 (60.4)49 (39.5)124
 Male52 (36.6)90 (63.4)142<.001
Stage at diagnosis
I–III36 (50.7)35 (49.3)71
IV91 (46.7)104 (53.3)195
ECOG performance status
 0–1108123231
 2–4181634
Number of brain metastases
 1–3375087
 4–20231942
 >205510
Tissue type
 Adenocarcinoma122110232
 Squamous cell carcinoma42125
 Large cell neuroendocrine carcinoma022
 Pleomorphic cell carcinoma055
 NSCLC (unclassified)112
EGFR mutation
 Ex19Del57 (44.9)
 L858R67 (52.8)
 Uncommon mutation3 (0.24)
Treatment for BM by
 EGFR-TKI96 (75.6)
  Gefitinib69 (54.3)
  Erlotinib79 (62.2)
  Afatinib22 (17.3)
  Osimertinib11 (8.7)
 Operation8 (6.3)19 (13.7)27.047
 SRS68 (53.5)83 (59.7)151
 WBRT38 (30.0)54 (38.8)92
 ICI5 (4.0)10 (7.1)15
Patient Characteristics
NSCLCEGFR mutated (n = 252)EGFR wildtype (n = 395)All (N = 647)
N (%)N (%)NP
Age at diagnosis, years
 Median63.8 ± 9.764.1 ± 10.364.0 ± 10.1
 Female108 (42.9)136 (27.5)
 Male144 (57.1)259 (72.5)
EGFR mutation
 Ex19Del128 (50.7)
 L858R120 (47.6)
 Uncommon mutation4 (1.70)
NSCLC with BMEGFR mutated (n = 127)EGFR wildtype (n = 139)All (N = 266)
N (%)N (%)NP
Age at diagnosis, years
 Median63.0 ± 9.9860.9 ± 10.461.9 ± 10.2
 Female75 (60.4)49 (39.5)124
 Male52 (36.6)90 (63.4)142<.001
Stage at diagnosis
I–III36 (50.7)35 (49.3)71
IV91 (46.7)104 (53.3)195
ECOG performance status
 0–1108123231
 2–4181634
Number of brain metastases
 1–3375087
 4–20231942
 >205510
Tissue type
 Adenocarcinoma122110232
 Squamous cell carcinoma42125
 Large cell neuroendocrine carcinoma022
 Pleomorphic cell carcinoma055
 NSCLC (unclassified)112
EGFR mutation
 Ex19Del57 (44.9)
 L858R67 (52.8)
 Uncommon mutation3 (0.24)
Treatment for BM by
 EGFR-TKI96 (75.6)
  Gefitinib69 (54.3)
  Erlotinib79 (62.2)
  Afatinib22 (17.3)
  Osimertinib11 (8.7)
 Operation8 (6.3)19 (13.7)27.047
 SRS68 (53.5)83 (59.7)151
 WBRT38 (30.0)54 (38.8)92
 ICI5 (4.0)10 (7.1)15

EGFR, epidermal growth factor receptor; ECOG, Eastern Cooperative Oncology Group; Ex19del, exon 19 deletion; TKIs, tyrosine kinase inhibitors; SRS, stereotactic radiosurgery; WBRT, whole-brain radiation therapy; ICIs, immune checkpoint inhibitors; BMs, brain metastases.

Table 1.

The Characteristics of 647 Patients With NSCLC and 266 Patients With NSCLC Who Developed BMs

Patient Characteristics
NSCLCEGFR mutated (n = 252)EGFR wildtype (n = 395)All (N = 647)
N (%)N (%)NP
Age at diagnosis, years
 Median63.8 ± 9.764.1 ± 10.364.0 ± 10.1
 Female108 (42.9)136 (27.5)
 Male144 (57.1)259 (72.5)
EGFR mutation
 Ex19Del128 (50.7)
 L858R120 (47.6)
 Uncommon mutation4 (1.70)
NSCLC with BMEGFR mutated (n = 127)EGFR wildtype (n = 139)All (N = 266)
N (%)N (%)NP
Age at diagnosis, years
 Median63.0 ± 9.9860.9 ± 10.461.9 ± 10.2
 Female75 (60.4)49 (39.5)124
 Male52 (36.6)90 (63.4)142<.001
Stage at diagnosis
I–III36 (50.7)35 (49.3)71
IV91 (46.7)104 (53.3)195
ECOG performance status
 0–1108123231
 2–4181634
Number of brain metastases
 1–3375087
 4–20231942
 >205510
Tissue type
 Adenocarcinoma122110232
 Squamous cell carcinoma42125
 Large cell neuroendocrine carcinoma022
 Pleomorphic cell carcinoma055
 NSCLC (unclassified)112
EGFR mutation
 Ex19Del57 (44.9)
 L858R67 (52.8)
 Uncommon mutation3 (0.24)
Treatment for BM by
 EGFR-TKI96 (75.6)
  Gefitinib69 (54.3)
  Erlotinib79 (62.2)
  Afatinib22 (17.3)
  Osimertinib11 (8.7)
 Operation8 (6.3)19 (13.7)27.047
 SRS68 (53.5)83 (59.7)151
 WBRT38 (30.0)54 (38.8)92
 ICI5 (4.0)10 (7.1)15
Patient Characteristics
NSCLCEGFR mutated (n = 252)EGFR wildtype (n = 395)All (N = 647)
N (%)N (%)NP
Age at diagnosis, years
 Median63.8 ± 9.764.1 ± 10.364.0 ± 10.1
 Female108 (42.9)136 (27.5)
 Male144 (57.1)259 (72.5)
EGFR mutation
 Ex19Del128 (50.7)
 L858R120 (47.6)
 Uncommon mutation4 (1.70)
NSCLC with BMEGFR mutated (n = 127)EGFR wildtype (n = 139)All (N = 266)
N (%)N (%)NP
Age at diagnosis, years
 Median63.0 ± 9.9860.9 ± 10.461.9 ± 10.2
 Female75 (60.4)49 (39.5)124
 Male52 (36.6)90 (63.4)142<.001
Stage at diagnosis
I–III36 (50.7)35 (49.3)71
IV91 (46.7)104 (53.3)195
ECOG performance status
 0–1108123231
 2–4181634
Number of brain metastases
 1–3375087
 4–20231942
 >205510
Tissue type
 Adenocarcinoma122110232
 Squamous cell carcinoma42125
 Large cell neuroendocrine carcinoma022
 Pleomorphic cell carcinoma055
 NSCLC (unclassified)112
EGFR mutation
 Ex19Del57 (44.9)
 L858R67 (52.8)
 Uncommon mutation3 (0.24)
Treatment for BM by
 EGFR-TKI96 (75.6)
  Gefitinib69 (54.3)
  Erlotinib79 (62.2)
  Afatinib22 (17.3)
  Osimertinib11 (8.7)
 Operation8 (6.3)19 (13.7)27.047
 SRS68 (53.5)83 (59.7)151
 WBRT38 (30.0)54 (38.8)92
 ICI5 (4.0)10 (7.1)15

EGFR, epidermal growth factor receptor; ECOG, Eastern Cooperative Oncology Group; Ex19del, exon 19 deletion; TKIs, tyrosine kinase inhibitors; SRS, stereotactic radiosurgery; WBRT, whole-brain radiation therapy; ICIs, immune checkpoint inhibitors; BMs, brain metastases.

Rate and Frequency of Developing BMs in NSCLC

Figure 1 shows the cumulative incidence of BMs from NSCLC grouped by EGFR mutation status. The rate of EGFR-mt NSCLC patients harboring BMs at the initial presentation was lower than EGFR-wt patients (12.7% vs 15.9%). It should be noted, however, that EGFR-mt NSCLC patients developed BMs more rapidly than EGFR-wt patients and that the cumulative rate of developing BMs reached close to 50% in this population. Meanwhile, the cumulative percentage of EGFR-wt patients developing BMs was approximately 30% (P = .0006, log-rank test). BMs mostly developed within 2–3 years after the initial diagnosis of NSCLC.

Cumulative incidence of BMs. EGFR-mt patients developed BMs more quickly, and the rate of BMs reached about 50%, while the rate for EGFR-wt patients was about 30% (P < .001, log-rank test). Almost 80% of patients developed BMs within 2–3 years following the diagnosis of NSCLC. EGFR, epidermal growth factor receptor; mt, mutated; wt, wild type; BMs, brain metastases.
Figure 1.

Cumulative incidence of BMs. EGFR-mt patients developed BMs more quickly, and the rate of BMs reached about 50%, while the rate for EGFR-wt patients was about 30% (P < .001, log-rank test). Almost 80% of patients developed BMs within 2–3 years following the diagnosis of NSCLC. EGFR, epidermal growth factor receptor; mt, mutated; wt, wild type; BMs, brain metastases.

Treatment Outcome After Developing BM in NSCLC

Concerning clinical courses after developing BMs, EGFR-mt NSCLC patients exhibited longer median OS than EGFR-wt patients. Still, the long-term survival rate did not differ between the 2 groups, as shown in Figure 2 (median survival 22 vs 11 months, P = .012, log-rank test). In the sub-analysis, there was no difference in the duration of survival after developing BMs between those who had exon 19 deletion and exon 21 L858R mutation (median survival 22 vs 24 months, P = .35, log-rank test). The administration of third-generation EGFR-TKIs was associated with longer survival after developing BMs, compared with first-generation EGFR-TKIs (median survival unreached vs 19 months, P < .001, log-rank test). EGFR-mt NSCLC (hazard ratio [HR] 0.62; confidence interval [CI] 0.39–0.98; P = .041), single BM (HR 0.61; CI 0.43–0.87; P = .0057), and local therapy (HR 0.60; CI 0.65–1.67; P = .0002) were associated with significantly longer survival after developing BMs, whereas poor performance status (HR 2.02; CI 1.22–3.21; P = .008) was significantly associated with poorer prognosis both in univariate and multivariate analyses (Table 2). Sex (HR 0.72; CI 0.51–1.00; P = .050) and patient age older than 65 years (HR 0.78; CI 0.55–1.12; P = .17) did not correlate with prognosis. WBRT was significantly associated with poorer prognosis in univariate analysis (HR 1.56; CI 1.16–2.10; P = .0037), which did not hold to be statistically significant in multivariate analysis (HR 1.26; CI 0.33–1.46; P = .21).

Table 2.

Univariate and Multivariate Analyses for Overall Survival After BM

Univariate analysisMultivariate analysis
VariablesPHazard ratio95% CIPHazard ratio95% CI
Female vs male.050.751.00–1.78.050.720.51–1.00
Age <66 vs ≧66 years.050.740.55–1.00.170.780.55–1.12
ECOG PS 2–3 vs 0–1<.00012.891.85–4.35.0082.021.22–3.21
EGFR mutated vs wildtype.010.690.52–0.93.0320.610.39–0.96
Single BM.00060.590.43–0.80.00570.610.43–0.87
The use of EGFR-TKI.940.990.72–1.35.61.130.72–1.79
Local therapies (SRS, operation)<.00010.490.37–0.67.00020.510.36–0.72
WBRT.00371.561.16–2.10.211.260.88–1.80
Use of ICIs.330.710.32–1.36.420.750.33–1.46
Univariate analysisMultivariate analysis
VariablesPHazard ratio95% CIPHazard ratio95% CI
Female vs male.050.751.00–1.78.050.720.51–1.00
Age <66 vs ≧66 years.050.740.55–1.00.170.780.55–1.12
ECOG PS 2–3 vs 0–1<.00012.891.85–4.35.0082.021.22–3.21
EGFR mutated vs wildtype.010.690.52–0.93.0320.610.39–0.96
Single BM.00060.590.43–0.80.00570.610.43–0.87
The use of EGFR-TKI.940.990.72–1.35.61.130.72–1.79
Local therapies (SRS, operation)<.00010.490.37–0.67.00020.510.36–0.72
WBRT.00371.561.16–2.10.211.260.88–1.80
Use of ICIs.330.710.32–1.36.420.750.33–1.46

The hazard ratio was estimated in a Cox proportional hazard model.

BMs, brain metastases; ECOG PS, Eastern Cooperative Oncology Group Performance Status; EGFR, epidermal growth factor receptor; TKIs, tyrosine kinase inhibitors; SRS, stereotactic radiosurgery; WBRT, whole-brain radiation therapy; ICIs, immune checkpoint inhibitors.

Table 2.

Univariate and Multivariate Analyses for Overall Survival After BM

Univariate analysisMultivariate analysis
VariablesPHazard ratio95% CIPHazard ratio95% CI
Female vs male.050.751.00–1.78.050.720.51–1.00
Age <66 vs ≧66 years.050.740.55–1.00.170.780.55–1.12
ECOG PS 2–3 vs 0–1<.00012.891.85–4.35.0082.021.22–3.21
EGFR mutated vs wildtype.010.690.52–0.93.0320.610.39–0.96
Single BM.00060.590.43–0.80.00570.610.43–0.87
The use of EGFR-TKI.940.990.72–1.35.61.130.72–1.79
Local therapies (SRS, operation)<.00010.490.37–0.67.00020.510.36–0.72
WBRT.00371.561.16–2.10.211.260.88–1.80
Use of ICIs.330.710.32–1.36.420.750.33–1.46
Univariate analysisMultivariate analysis
VariablesPHazard ratio95% CIPHazard ratio95% CI
Female vs male.050.751.00–1.78.050.720.51–1.00
Age <66 vs ≧66 years.050.740.55–1.00.170.780.55–1.12
ECOG PS 2–3 vs 0–1<.00012.891.85–4.35.0082.021.22–3.21
EGFR mutated vs wildtype.010.690.52–0.93.0320.610.39–0.96
Single BM.00060.590.43–0.80.00570.610.43–0.87
The use of EGFR-TKI.940.990.72–1.35.61.130.72–1.79
Local therapies (SRS, operation)<.00010.490.37–0.67.00020.510.36–0.72
WBRT.00371.561.16–2.10.211.260.88–1.80
Use of ICIs.330.710.32–1.36.420.750.33–1.46

The hazard ratio was estimated in a Cox proportional hazard model.

BMs, brain metastases; ECOG PS, Eastern Cooperative Oncology Group Performance Status; EGFR, epidermal growth factor receptor; TKIs, tyrosine kinase inhibitors; SRS, stereotactic radiosurgery; WBRT, whole-brain radiation therapy; ICIs, immune checkpoint inhibitors.

A Kaplan–Meier curve illustrating the survival of EGFR-mt and EGFR-wt NSCLC patients after BMs (22 vs 11 months, P = .012, log-rank test). EGFR, epidermal growth factor receptor; mt, mutated; wt, wild type; BMs, brain metastases.
Figure 2.

A Kaplan–Meier curve illustrating the survival of EGFR-mt and EGFR-wt NSCLC patients after BMs (22 vs 11 months, P = .012, log-rank test). EGFR, epidermal growth factor receptor; mt, mutated; wt, wild type; BMs, brain metastases.

A comparison between single and multiple metastases is shown in Figure 3. For BMs in EGFR-mt patients, single metastasis, compared with multiple metastases, exhibited a positive impact on patient survival (P = .0009, log-rank test with Bonferroni correction) but not in EGFR-wt NSCLC patients (P = 1.00, log-rank test with Bonferroni correction). Furthermore, there was no statistical difference between EGFR-mt and EGFR-wt patients with multiple BMs. Median survival after BMs was 33 months in EGFR-mt NSCLC patients with a single BM and 18 months for patients with multiple BMs. On the other hand, the median survival after BMs was 18 months in EGFR-wt NSCLC patients with a single BM and 12 months for patients with multiple BMs. The type of EGFR mutations did not have any impact on survival after BMs neither in cases of single nor multiple BMs (P = 1.00 and P = 1.00, log-rank test with Bonferroni correction). Caution should be taken, however, when interpreting this result, as it is possible that the result is heavily impacted by selection bias and the retrospective nature of the study.

This figure shows the Kaplan–Meier curve of EGFR mutation status and the number of BMs (single vs multiple). The group of EGFR-mt patients with a single metastasis exhibited significantly longer survival after BM occurrence (****P = .0061 vs EGFR-wt patients with single BM, ***P = .0013 vs EGFR-wt patients with multiple BMs, **P = .0009 vs EGFR-mt patients with multiple BMs). There was no significant difference between single and multiple metastases in EGFR-wt patients (*P = 1.00). All data are reported as an adjusted P-value, log-rank test with Bonferroni correction. EGFR, epidermal growth factor receptor; mt, mutated; wt, wild type; OS, overall survival; BMs, brain metastases.
Figure 3.

This figure shows the Kaplan–Meier curve of EGFR mutation status and the number of BMs (single vs multiple). The group of EGFR-mt patients with a single metastasis exhibited significantly longer survival after BM occurrence (****P = .0061 vs EGFR-wt patients with single BM, ***P = .0013 vs EGFR-wt patients with multiple BMs, **P = .0009 vs EGFR-mt patients with multiple BMs). There was no significant difference between single and multiple metastases in EGFR-wt patients (*P = 1.00). All data are reported as an adjusted P-value, log-rank test with Bonferroni correction. EGFR, epidermal growth factor receptor; mt, mutated; wt, wild type; OS, overall survival; BMs, brain metastases.

Discussion

Recently, combination therapy, including surgery, SRS, EGFR-TKI, ICI, and WBRT, has significantly improved the prognosis of NSCLC. This improvement has thrown into question the impact of BMs on NSCLC, especially concerning EGFR mutation status. In an attempt to answer this question, the current study succeeded in providing 3 insights.

First, the number of BMs exhibited different effects on OS in EGFR-mt and EGFR-wt NSCLC patients. This finding verifies the findings of Yuan et al.14 In their report, Yuan et al. analyzed the duration from the initial diagnosis to BM development and divided the cohort into “early” (less than 6 months from initial diagnosis) and “late” (more than 6 months from diagnosis) groups. Median OS from diagnosis was 7.1 months in the “early” group and 24.9 months in the “late” group for EGFR-wt patients. On the other hand, there was no statistical difference between the “early” group and “late” group for EGFR-mt patients. Likewise, the median OS from BMs for EGFR-wt patients was not significantly different between the early (6.3 months) and the late groups (4.9 months). This is despite a statistical difference between early (19.2 months) and late groups (3.9 months, P < .001) for EGFR-mt patients.14 Although the cause of this difference remains undetermined, it may be due to the fact that EGFR-wt NSCLC patients develop BMs in the final stages of the disease. In contrast, EGFR-mt NSCLC patients may develop BMs even at early stages when the disease is still responsive to therapy. In other words, as for NSCLC patients with BMs, the oligometastatic state exists only in EGFR-mt NSCLC patients.

The second significant observation was the temporal pattern of BM development in NSCLC patients. A previous study reported that there was a higher incidence of BMs in patients with EGFR-mt NSCLC, and most BMs occurred within 3 years from the initial diagnosis of NSCLC regardless of EGFR mutation status.15 Consistent with this report, our findings underscore the prevalence of BM development during the first 2–3 years following the diagnosis of NSCLC.

Finally, we confirmed the importance of local therapies for BMs from NSCLC. Our analysis suggested that local treatments, such as surgical resection and SRS, were significantly associated with prolonged survival after developing BMs, while the use of EGFR-TKI, ICI, and WBRT was not. Chao et al.16 similarly reported that SRS was able to achieve local control. On the other hand, a randomized clinical trial showed that there was no significant difference between patients receiving WBRT and patients receiving no further treatment,17 which is similar to the findings of this study. Although the use of EGFR-TKI for BMs implies a certain level of efficacy,6,7 the efficacy of upfront EGFR-TKI preceding SRS or WBRT for BMs is still controversial.18,19 Furthermore, a recent study suggested that OS and PFS are possibly extended by the combination of EGFR-TKI and cytotoxic chemotherapy.20

The limitations of this study should be considered. First, the cohort in this study mainly consisted of Japanese nationals. A Japanese-oriented cohort could have biased results, as the race is known to be a critical factor when trying to understand NSCLC. For example, Asian patients more frequently present with EGFR-mt NSCLC (34–67%) than patients in other regions (8–26%).21 It is also known that the use of EGFR-TKI causes interstitial pneumonia more often in Asian populations.22

Nonetheless, the rate and frequency of developing BMs in this study were not different from those of previous reports.15,23 Secondly, it should be cautioned that the occurrence of BMs was possibly underrepresented in this study. The guidelines of the Japan Lung Cancer Society recommend checking for the presence of BMs at diagnosis with gadolinium-enhanced MRI only when the primary tumor size in the lungs is larger than 2 cm. Otherwise, it is not recommended to check for the presence of BMs. This study adhered to these guidelines, leaving open the possibility that BMs were not screened for in cases with small-size tumors. Finally, the choice of treatment for BMs could have been biased in this study due to a cohort selected by a single cancer-treating institution. A prospective study is needed to address these concerns.

In conclusion, the current study suggests that NSCLC patients should be followed up carefully within the initial 2–3 years following diagnosis to monitor for the occurrence of BMs. Furthermore, if BMs develop, the current study suggests that patients with EGFR-mt NSCLC with single BM have a favorable prognosis, and local curative therapies should be considered.

Funding

This research was funded by the Japan Society for the Promotion of Science (16K10778 and 17H05308); Takeda Science Foundation; and MSD Life Science Foundation.

Conflict of interest statement. The authors report no conflict of interest.

Authorship Statement

Y.F., M.K., and F.I. conceived and designed the analysis. Y.F., M.K., K.T., K.K., M.K., T.I., M.T., K.N., T.K., and F.I. acquired the data. Y.F. conducted statistical analysis under the supervision of M.K., H.K., and F.I. All authors helped in interpreting the findings. Y.F. wrote the first draft of the manuscript. All authors contributed toward subsequent revisions and approved the submitted manuscript.

References

1.

Maemondo
M
,
Inoue
A
,
Kobayashi
K
, et al. ;
North-East Japan Study Group
.
Gefitinib or chemotherapy for non-small-cell lung cancer with mutated EGFR
.
N Engl J Med.
2010
;
362
(
25
):
2380
2388
.

2.

Ramalingam
SS
,
Vansteenkiste
J
,
Planchard
D
, et al. 
Overall survival with osimertinib in untreated, EGFR-mutated advanced NSCLC
.
N Engl J Med
.
2020
;
382
(
1
):
41
50
.

3.

Mitsudomi
T
,
Morita
S
,
Yatabe
Y
, et al. ;
West Japan Oncology Group
.
Gefitinib versus cisplatin plus docetaxel in patients with non-small-cell lung cancer harbouring mutations of the epidermal growth factor receptor (WJTOG3405): an open label, randomised phase 3 trial
.
Lancet Oncol.
2010
;
11
(
2
):
121
128
.

4.

Sheng
M
,
Wang
F
,
Zhao
Y
, et al. 
Comparison of clinical outcomes of patients with non-small-cell lung cancer harbouring epidermal growth factor receptor exon 19 or exon 21 mutations after tyrosine kinase inhibitors treatment: a meta-analysis
.
Eur J Clin Pharmacol.
2016
;
72
(
1
):
1
11
.

5.

Chamberlain
MC
,
Baik
CS
,
Gadi
VK
,
Bhatia
S
,
Chow
LQ
.
Systemic therapy of brain metastases: non-small cell lung cancer, breast cancer, and melanoma
.
Neuro Oncol.
2017
;
19
(
1
):
i1
i24
.

6.

Iuchi
T
,
Shingyoji
M
,
Sakaida
T
, et al. 
Phase II trial of gefitinib alone without radiation therapy for Japanese patients with brain metastases from EGFR-mutant lung adenocarcinoma
.
Lung Cancer.
2013
;
82
(
2
):
282
287
.

7.

Park
SJ
,
Kim
HT
,
Lee
DH
, et al. 
Efficacy of epidermal growth factor receptor tyrosine kinase inhibitors for brain metastasis in non-small cell lung cancer patients harboring either exon 19 or 21 mutation
.
Lung Cancer.
2012
;
77
(
3
):
556
560
.

8.

Li
WY
,
Zhao
TT
,
Xu
HM
, et al. 
The role of EGFR mutation as a prognostic factor in survival after diagnosis of brain metastasis in non-small cell lung cancer: a systematic review and meta-analysis
.
BMC Cancer
.
2019
;
19
(
1
):
1
9
.

9.

Weichselbaum
RR
,
Hellman
S
.
Oligometastases revisited
.
Nat Rev Clin Oncol.
2011
;
8
(
6
):
378
382
.

10.

Hellman
S
,
Weichselbaum
RR
.
Oligometastases
.
J Clin Oncol.
1995
;
13
(
1
):
8
10
.

11.

Ashworth
A
,
Rodrigues
G
,
Boldt
G
,
Palma
D
.
Is there an oligometastatic state in non-small cell lung cancer? A systematic review of the literature
.
Lung Cancer.
2013
;
82
(
2
):
197
203
.

12.

Ashworth
AB
,
Senan
S
,
Palma
DA
, et al. 
An individual patient data metaanalysis of outcomes and prognostic factors after treatment of oligometastatic non-small-cell lung cancer
.
Clin Lung Cancer.
2014
;
15
(
5
):
346
355
.

13.

Nagai
Y
,
Miyazawa
H
,
Huqun
, et al. 
Genetic heterogeneity of the epidermal growth factor receptor in non-small cell lung cancer cell lines revealed by a rapid and sensitive detection system, the peptide nucleic acid-locked nucleic acid PCR clamp
.
Cancer Res.
2005
;
65
(
16
):
7276
7282
.

14.

Yuan
R
,
Yamada
A
,
Weber
B
,
Ho
C
.
Radiographic patterns and survival of patients with early and late brain metastases in EGFR wild type and mutant non small cell lung cancer
.
J Neurooncol.
2016
;
127
(
3
):
525
533
.

15.

Hsu
F
,
De Caluwe
A
,
Anderson
D
,
Nichol
A
,
Toriumi
T
,
Ho
C
.
EGFR mutation status on brain metastases from non-small cell lung cancer
.
Lung Cancer.
2016
;
96
:
101
107
.

16.

Chao
ST
,
De Salles
A
,
Hayashi
M
, et al. 
Stereotactic radiosurgery in the management of limited (1–4) brain metasteses: systematic review and International Stereotactic Radiosurgery Society practice guideline
.
Clin Neurosurg
.
2018
;
83
(
3
):
345
353
.

17.

Young
B
,
Patchell
RA
,
Yaes
RJ
, et al. 
A randomized trial of postoperative radiotherapy in the treatment of single metastases to the brain
.
Neurosurgery
.
1998
;
43
(
3
):
686
686
.

18.

Zhou
L
,
Deng
L
,
Lu
Y
.
Epidermal growth factor receptor mutations in non-small-cell lung cancer with brain metastasis: can up-front radiation therapy be deferred or withheld?
J Clin Oncol
.
2017
;
35
(
10
):
1033
1035
.

19.

Yang
JJ
,
Zhou
C
,
Huang
Y
, et al. 
Icotinib versus whole-brain irradiation in patients with EGFR-mutant non-small-cell lung cancer and multiple brain metastases (BRAIN): a multicentre, phase 3, open-label, parallel, randomised controlled trial
.
Lancet Respir Med.
2017
;
5
(
9
):
707
716
.

20.

Hosomi
Y
,
Morita
S
,
Sugawara
S
, et al. 
Gefitinib alone versus gefitinib plus chemotherapy for non-small-cell lung cancer with mutated epidermal growth factor receptor: NEJ009 study
.
J Clin Oncol
.
2020
;
38
(
2
):
115
123
.

21.

Midha
A
,
Dearden
S
,
McCormack
R
.
EGFR mutation incidence in non-small-cell lung cancer of adenocarcinoma histology: a systematic review and global map by ethnicity (mutMapII)
.
Am J Cancer Res.
2015
;
5
(
9
):
2892
2911
.

22.

Suh
CH
,
Park
HS
,
Kim
KW
,
Pyo
J
,
Hatabu
H
,
Nishino
M.
Pneumonitis in Advanced Non-Small-Cell Lung Cancer Patients Treated with EGFR Tyrosine Kinase Inhibitor: Meta-Analysis of 153 Cohorts with 15,713 Patients: Meta-Analysis of Incidence and Risk Factors of EGFR-TKI Pneumonitis in NSCLC
.
Lung Cancer.
2018
;
123
:
60
69
.

23.

Dempke
WC
,
Edvardsen
K
,
Lu
S
,
Reinmuth
N
,
Reck
M
,
Inoue
A
.
Brain metastases in NSCLC—are TKIs changing the treatment strategy?
Anticancer Res.
2015
;
35
(
11
):
5797
5806
.

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