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. 2017 Jul 26;8(52):90430–90443. doi: 10.18632/oncotarget.19563

Real-world experience of afatinib as a first-line therapy for advanced EGFR mutation-positive lung adenocarcinoma

Sheng-Kai Liang 1, Min-Shu Hsieh 2, Meng-Rui Lee 1, Li-Ta Keng 1, Jen-Chung Ko 1, Jin-Yuan Shih 3
PMCID: PMC5685763  PMID: 29163842

Abstract

We evaluated the real-world efficacy and side effects of afatinib as a first-line therapy for advanced EGFR mutation-positive lung adenocarcinoma. The medical records of patients receiving afatinib as a first-line therapy after National Health Insurance reimbursement between May 2014 and January 2016 were reviewed, and information on patient characteristics and treatment courses were collected consecutively. Rebiopsy tissue was collected for EGFR mutation and MET amplification analyses. MET amplification was detected by fluorescence in situ hybridization and immunohistochemistry. In total, 140 patients were enrolled (median follow-up, 18.0 months). No significant differences in side effects, treatment responses, progression-free survival, or brain metastasis control were observed between patients receiving 40 mg versus < 40 mg of afatinib during the first 6 months. Patients with significant pretreatment weight loss (> 10.0% in 6 months) had a shorter median progression-free survival. Patients with brain metastases had a poorer Eastern Cooperative Oncology Group performance status and were associated with a shorter median progression-free survival. Nine patients (32.1%) had a p.T790M mutation and only 1 patient gained MET amplifications after disease progression. Afatinib is effective as a first-line therapy for advanced EGFR mutation-positive lung adenocarcinoma. Afatinib dosage does not affect clinical efficacy and drug-related side effects.

Keywords: afatinib, EGFR mutation-positive, first-line therapy, lung adenocarcinoma, real-world study

INTRODUCTION

Lung adenocarcinoma, the major histological subtype of non-small cell lung cancer, has been further subclassified into several molecular subsets with susceptibility to specific ‘‘targeted’’ drugs as advances have been made in translational research. Mutations in the EGFR kinase domain could activate downstream signaling pathways and cause cancer cells to proliferate, metastasize, and invade other tissues, or become resistant to apoptosis [13]. Two major EGFR mutations, exon 19 deletions and exon 21 p.L858R point mutation, account for approximately 90.0% of EGFR mutations [4]. These are referred to as “classical” EGFR mutations and are well documented for effectively responding to epidermal growth factor receptor-tyrosine kinase inhibitor (EGFR-TKI) treatment. Notably, the use of first-generation EGFR-TKIs (e.g., gefitinib or erlotinib) as a first-line therapy for patients with advanced EGFR mutation-positive lung adenocarcinoma has been associated with a higher objective response rate (ORR) and longer progression-free survival (PFS) than platinum-based doublet chemotherapy [5, 6].

Afatinib, an irreversible second-generation EGFR-TKI and member of the ErbB family, has activity against not only “classical” EGFR mutations, but also rare EGFR mutations, including the exon 18 p.G719X and exon 21 p.L861Q point mutations [79]. Afatinib has also proven to be effective as a first-line therapy in patients with advanced EGFR mutation-positive lung adenocarcinoma in the LUX-Lung 3 [10] and LUX-Lung 6 [11] trials. In these phase III trials [10, 11] afatinib was associated with a significantly prolonged PFS compared to first-line chemotherapy with cisplatin and pemetrexed or cisplatin and gemcitabine, respectively. In a subsequent phase IIB trial (LUX-Lung 7 [12]) afatinib conferred a significant benefit in prolonging PFS and time to treatment failure, but not overall survival (OS), compared to first-line treatment with gefitinib in patients with advanced EGFR mutation-positive lung adenocarcinoma.

These well designed randomized controlled trials emphasize the efficacy and safety of the study drugs in an extremely controlled environment and patient population. However, drug effectiveness may be confounded by several factors (e.g., patient group selection, comorbidities, adherence, and other organizational factors). The real-world experiences reflect these variations in influential factors that may be excluded from randomized controlled trials [13]. Meanwhile, the tolerability of afatinib-related side effects, the efficacy following various clinical adjustments, and the mechanism(s) of acquired resistance have yet to be determined in the post-approval period.

In this study, we analyzed a real-world cohort of afatinib-treated patients from a tertiary medical center in Taiwan and consecutively investigated the efficacy and side effects of afatinib by reviewing patients’ medical records. Furthermore, we evaluated the mechanism(s) of acquired resistance of afatinib from rebiopsy tissue after disease progression.

RESULTS

Patient characteristics and clinical response to afatinib

We retrospectively retrieved the study cohort from an approved list of afatinib applications to the Taiwan National Health Insurance scheme at the National Taiwan University Hospital (Taipei, Taiwan) between May 2014 and January 2016. In total, 140 patients with advanced EGFR mutation-positive lung adenocarcinoma who had received afatinib as a first-line treatment were enrolled in this study. The median age of the patients was 61 (range, 28–87) years. Eighty-seven patients (62.1%) were women and 98 patients (70.0%) had never smoked. The clinical characteristics of patients were listed in Table 1. Patients were stratified into three groups according to their EGFR mutation status: Group 1, “classical” mutation; Group 2, complex mutation with classical mutation; and Group 3, rare mutation with or without complex mutation (Table 1).

Table 1. Clinical characteristics and comparison of patient groups according to afatinib treatment in the first 6 months.

Characteristic Afatinib-treated patients in the first 6 months P-value
All (n = 140) 40 mg (n = 81) < 40 mg (n = 59)
Age (years), median (range) 61 (28–87) 61 (28–82) 63 (33–87)
Sex, n (%) 0.060
 M 53 (37.9) 36 (44.4) 17 (28.8)
 F 87 (62.1) 45 (55.6) 42 (71.2)
Smoking status, n (%) 0.450
 Never smoked 98 (70.0) 54 (66.7) 44 (74.6)
 Ex-smokera 19 (13.6) 11 (13.6) 8 (13.5)
 Current smoker 23 (16.4) 16 (19.7) 7 (11.9)
BMI, mean (SD)b 23.4 (3.2) 23.8 (3.2) 22.8 (3.1) 0.058
BSA, mean (SD)c 1.62(0.14) 1.65(0.17) 1.58(0.14) 0.067
Weight loss at diagnosis, n(%) 0.661
 ≤10.0% 109 (77.9) 62 (76.5) 47 (79.7)
 > 10.0%d 31 (22.1) 19 (23.5) 12 (20.3)
Baseline ECOG PS, n(%) 0.527
 0–1 129 (92.1) 76 (93.8) 53 (89.8)
 2–4 11 (7.9) 5 (6.2) 6 (10.2)
cStage at screening, n(%) > 0.999
 Stage IIIB 4 (2.9) 2 (2.5) 2 (3.4)
 Stage IV 136 (97.1) 79 (97.5) 57 (96.6)
Metastatic site at screening, n(%)
 Lung 73 (52.1) 39 (48.1) 34 (57.6) 0.268
 Bone 48 (34.3) 29 (35.8) 19 (32.2) 0.658
 Brain 42 (30.0) 24 (29.6) 18 (30.5) 0.911
 Liver 12 (8.6) 7 (8.6) 5 (8.5) 0.972
 Adrenal glands 9 (6.4) 4 (4.9) 5 (8.5) 0.493
 Other 15 (10.7) 7 (8.6) 8 (13.6) 0.353
EGFR mutation status,n (%) 0.006*
 Group 1 (classical mutation[s]) 108 (77.1) 70 (86.4) 38 (64.4)
 19DEL 81 (57.9) 50 (61.7) 31 (52.5)
 p.L858R 24 (17.1) 18 (22.3) 6 (10.2)
 p.L858R and 19DEL 3 (2.1) 2 (2.5) 1 (1.7)
Group 2 (complex mutation with classical mutation) 6 (4.3) 3 (3.7) 3 (5.1)
 p.L858R and p.T790M 4 (2.9) 2 (2.5) 2 (3.4)
 Other 2 (1.4) 1 (1.2) 1 (1.7)
Group 3 (Rare mutation with or without complex mutation) 26 (18.6) 8 (9.9) 18 (30.5)
 p.L861Q 10 (7.1) 1 (1.2) 9 (15.2)
 p.G719A 6 (4.3) 3 (3.7) 3 (5.1)
 20-INS 4 (2.9) 0 (0.0) 4 (6.8)
 p.G719A and p.T790M/Other 6 (4.3) 4 (4.9) 2 (3.4)

* P < 0.05

aCeased smoking > 1 year before diagnosis

bBMI = body weight (kg)/body height (m)2

cBSA= [body Height (cm) x body weight (kg)/ 3600 ]½

dSignificant weight loss of >10.0% within 6 months of diagnosis

BMI, body mass index; BSA, body surface area; cStage, clinical stage; DEL, deletion; ECOG, Eastern Cooperative Oncology Group; F, female; INS, insertion; M, male; PS, performance status; SD, standard deviation

After afatinib administration, 99 patients (70.7%) experienced Grade ≥ 2 skin lesions and were referred to a dermatologist for further care and 32 patients (22.9%) experienced Grade ≥ 2 diarrhea and were treated with intermittent antidiarrheal agents (Table 2). Notably, 7 patients (5.0%) discontinued afatinib treatment because of severe side effects. In these patients, despite its clinical effectiveness, afatinib was switched to gefitinib or erlotinib (Supplementary Table 1).

Table 2. Comparison of effects and side effects according to afatinib treatment in the first 6 months.

Variable Afatinib-treated patients in the first 6 months P-value
All (n = 140) 40 mg (n = 81) < 40 mg (n = 59)
Side effects of afatinib treatment, n (%)
 Skin lesion of ≥ Grade 2 99 (70.7) 57 (70.4) 42 (71.2) 0.917
 Diarrhea of ≥ Grade 2 32 (22.9) 18 (22.2) 14 (23.7) 0.834
Tumor response to afatinib treatment, n (%) 0.087
 PR 94 (67.2) 60 (74.1) 34 (57.6)
 SD 37 (26.4) 18 (22.2) 19 (32.2)
 PD 9 (6.4) 3 (3.7) 6 (10.2)
Weight loss of > 5.0% during afatinib treatment, n (%) 66 (47.1) 39 (48.2) 27 (45.8) 0.545
PD event, n (%) 77 (55.0) 43 (53.1) 34 (57.6) 0.594
PD due to brain event, n (%) 26 (18.6) 13 (16.1) 13 (22.0) 0.540

PD, progressive disease; PR, partial response; SD, stable disease

Treatment responses to afatinib were determined through imaging studies and by reviewing patients’ medical records (Table 2). Ninety-four patients (67.2%) exhibited a partial response, 37 patients (26.4%) had stable disease, and 9 patients (6.4%) had progressive disease. Sixty-six patients (47.1%) experienced weight loss of > 5.0% during the whole afatinib treatment course. The median PFS of the total patient population was 11.8 (95.0% confidence interval [CI]: 10.9–13.0) months. Patients with a partial response after afatinib treatment had a longer PFS compared to those with stable or progressive disease (12.8 [95.0% CI: 9.5–16.1] vs. 8.0 [95.0% CI: 5.9–10.1] months, respectively; P = 0.001).

Dose adjustments of afatinib in a real-world cohort

The conditions of the dose adjustments in our real-world cohort were recorded (Supplementary Table 2). Ninety-eight patients (70.0%) received afatinib at an initial dose of 40 mg. Of these, 29 patients (29.6%) underwent dose reduction. The remaining 42 patients (30.0%) received afatinib at an initial dose of 30 mg. Of these, 9 patients (21.4%) underwent dose reduction. In 25 (65.8%) of the 38 patients, the dose of afatinib was adjusted during the first 6 months of treatment. In 10 patients, further dose adjustments were made, including dose escalation in 6 patients.

Afatinib doses of < 40 mg in the first 6 months do not influence clinical efficacy

Most patients received dose adjustments during the first 6 months in LUX-Lung 3/6 [17] and our current study, and then patients were subdivided into two groups according to the dose of afatinib during the first 6 months of treatment (40 mg versus < 40 mg). No significant differences in various clinical characteristics, including age, smoking status, ECOG PS, and the sites of metastases, were observed between the two groups. There were trends towards male gender, a BMI of ≥ 20.0, and higher BSA being associated with a relatively high tolerability to 40 mg of afatinib during the first 6 months (Table 1). However, a greater proportion of patients had “classical” mutations in the 40 mg group than the < 40 mg group (P = 0.006). No significant differences in afatinib-related side effects or treatment responses were observed between the 40 mg and < 40 mg groups (Table 2). There was also no significant difference in the median PFS between the 40 mg and < 40 mg groups (12.0 vs. 11.0 months, respectively; P > 0.05 [Figure 1]) (hazard ratio [HR]: 0.84 [95.0% CI: 0.53–1.31]).

Figure 1. Kaplan-Meier progression-free survival (PFS) curves according to the treatment dose of afatinib.

Figure 1

Patients receiving 40 mg and < 40 mg of afatinib during the first 6 months are represented by the solid (red) and dashed (blue) lines, respectively.

Patients with brain metastases were associated with unfavorable outcomes

Advanced lung adenocarcinoma patients frequently present with brain metastases at the time of diagnosis. In our real-world cohort, 42 patients (30.0%) presented with brain metastases at the time of initial diagnosis. Patients with brain metastases were initially associated with a poorer ECOG PS compared to patients without brain metastases (P = 0.003; Table 3). However, EGFR mutation patterns were not clinically associated with brain metastases. At the data cutoff date, patients with brain metastases suffered from more progressive events (P < 0.001), especially progression of their brain tumors (P = 0.023). Patients with initial brain metastases were associated with a shorter median PFS than those without brain metastases (9.2 vs. 14.9 months, respectively; P < 0.001 [Figure 2]) (HR: 2.29 [95.0% CI: 1.46–3.60]). However, no interaction in the median PFS was observed between the brain metastases and afatinib dosage groups (Figure 3), suggesting that the median PFS of patients with brain metastases is not influenced by an afatinib dose of < 40 mg.

Table 3. Clinical characteristics of patients with or without brain metastases (BMs).

Characteristic Patients with BMs (n = 42) Patients without BMs (n = 98) P-value
Age (years), n (%) 0.970
 < 65 26 (61.9) 61 (62.2)
 ≥ 65 16 (38.1) 37 (37.8)
Sex, n (%) 0.732
 M 15 (35.7) 38 (38.8)
 F 27 (64.3) 60 (61.2)
BMI, n (%)a 0.405
 < 20 4 (9.5) 14 (14.3)
 ≥ 20 38 (90.5) 84 (85.7)
Weight loss at diagnosis, n (%) 0.756
 ≤ 10.0% 32 (76.2) 77 (78.6)
 > 10.0%b 10 (23.8) 21 (21.4)
ECOG PS, n (%) 0.003*
 0–1 34 (81.0) 95 (96.9)
 2–4 8 (19.0) 3 (3.1)
EGFR mutation status, n (%) 0.921
 Group 1c 33 (78.5) 75 (76.5)
 Group 2d 2 (4.8) 4 (4.1)
 Group 3e 7 (16.7) 19 (19.4)
Weight loss of >5.0% during afatinib treatment, n (%) 25 (59.5) 41 (41.8) 0.066
 PD event, n (%) 34 (81.0) 43 (43.9) < 0.001*
 PD due to brain event, n (%) 16 (38.1) 10 (10.2) 0.023*

* P < 0.05

aBMI = body weight (kg)/body height (m)2

bSignificant weight loss of > 10.0% within 6 months of diagnosis

cClassical mutation(s)

dComplex mutation with classical mutation

eRare mutation with or without complex mutation

BMI, body mass index; ECOG, Eastern Cooperative Oncology Group; F, female; M, male; PD, progressive disease; PS, performance status

Figure 2. Kaplan-Meier progression-free survival (PFS) curves of patients with and without brain metastases.

Figure 2

Patients with and without brain metastases are represented by the dashed (red) and solid (blue) lines, respectively.

Figure 3. Kaplan-Meier progression-free survival (PFS) curves of patients with and without brain metastases according to the treatment dose of afatinib.

Figure 3

Patients with brain metastases receiving 40 mg and < 40 mg of afatinib during the first 6 months are represented by the dashed (yellow) and dashed (red) lines, respectively. Patients without brain metastases receiving 40 mg and < 40 mg of afatinib during the first 6 months are represented by the solid (green) and dashed (blue) lines, respectively.

Treatment responses in EGFR mutation subgroups after afatinib treatment

Among the EGFR mutation subgroups, Group 1 and Group 2 patients were associated with favorable ORRs of 70.4% and 66.7%, respectively (Supplementary Table 3), while Group 3 patients were associated with a lower ORR of 53.9% (P > 0.05). For the 5 patients with a primary p.T790M mutation (p.T790M and p.L858R [n = 4] and p.T790M and p.G719A [n = 1]), the ORR was 60.0%. For the 4 patients with an exon 20 insertion, the ORR was 25.0% (partial response [n = 1], stable disease [n = 2], and progressive disease [n = 1]). The median PFS of the Group 1 patients (“classical” EGFR mutations) was 12.2 months, while the median PFS of the Group 2 and Group 3 patients was 9.2 months. The tumors of patients with exon 20 insertions were well known to be resistant to EGFR-TKI treatment. After excluding those patients with exon 20 insertions from subsequent analyses, no significant difference in the median PFS was observed between Group 1 and Group 3 patients (12.2 vs. 11.5 months, respectively; P > 0.05 [Figure 4]) (HR: 0.85 [95.0% CI: 0.47–1.53]). There was also no significant difference in the median PFS between the 81 patients with exon 19 deletions and the 24 patients with p.L858R point mutations (12.2 vs. 10.3 months, respectively; P > 0.05 [Figure 5]) (HR: 0.66 [95.0% CI: 0.36–1.20]).

Figure 4. Kaplan-Meier progression-free survival (PFS) curves of patients in Group 1 vs. Group 3 (no exon 20 insertion [20-INS]).

Figure 4

Patients in Group 1 are represented by the solid (green) line and patients in Group 3 are represented by the dashed (red) line.

Figure 5. Kaplan-Meier progression-free survival (PFS) curves of patients with an exon 19 deletion (19DEL) vs. p.L858R mutation.

Figure 5

Patients with the 19DEL are represented by the solid (red) line and patients with the p.L858R mutation are represented by the dashed (blue) line.

Univariate and multivariate analyses of clinical factors associated with progression-free survival

In order to realize the effects of clinical factors on the PFS of afatinib-treated patients in a real-world cohort, we performed univariate and multivariate analyses. Both univariate and multivariate analyses revealed that patients presenting with significant weight loss (>10.0%) and brain metastases were associated with a significantly shorter PFS (Table 4). Therefore, treatment responses at initial evaluation could provide the reference for a longer treatment benefit.

Table 4. Univariate and multivariate analyses of clinical factors for progression-free survival in a real-world cohort.

Clinical factor Patients (n) Univariate analysis Multivariate analysis
HR (95.0% CI) P-value HR (95.0% CI) P-value
Age (years)
 < 65 87 1
 ≥ 65 53 1.39 (0.89–2.19) 0.153
Sex
 M 53 1.07 (0.68–1.69) 0.776
 F 87 1
Smoking status
 Never smoked 98 1
 Ex-smoker 19 1
 Current smoker 23 1.18 (0.86–1.60) 0.304
BMI
 < 20 18 1.33 (0.72–2.46) 0.371
 ≥ 20 119 1
Weight loss at diagnosis
 ≤ 10.0% 109 1 1
 > 10.0% 31 1.73 (1.04–2.88) 0.035* 1.75 (1.05–2.93) 0.033*
ECOG PS
 0–1 129 1 1
 2–4 11 2.15 (1.02–4.52) 0.043* 1.48 (0.69–3.16) 0.310
BMs
 Present 42 2.29 (1.46–3.60) < 0.001* 2.09 (1.32–3.32) 0.002*
 Absent 98 1 1
EGFR mutation status
 Group 1a 108 0.68 (0.41–1.13) 0.130 0.67 (0.41–1.12) 0.125
 Group 2–3b,c 32 1 1
Tumor response to afatinib treatment
 PR 94 0.49 (0.31–0.77) 0.002* 0.49 (0.31–0.79) 0.003*
 SD/PD 46 1 1
Afatinib dose during the first 6 months of treatment (mg)
 40 81 0.84 (0.53–1.31) 0.435
 < 40 59 1

* P < 0.05

aClassical mutation(s)

bComplex mutation with classical mutation

cRare mutation with or without complex mutation

BM, brain metastasis; BMI, body mass index; CI, confidence interval; ECOG, Eastern Cooperative Oncology Group; F, female; HR, hazard ratio; M, male; PD, progressive disease; PR, partial response; PS, performance status; SD, stable disease

Mechanism(s) of acquired resistance to afatinib

Twenty-eight patients underwent rebiopsy (lung tumor biopsy [n = 14], lymph node biopsy [n = 3], liver tumor biopsy [n = 2], and brain tumor excision [n = 1]), malignant pleural effusion drainage (n = 6), or liquid biopsy (n = 2) after acquiring resistance to afatinib. Seventeen of the 20 rebiopsy specimens were adequate for MET immunohistochemical (IHC) staining (Supplementary Table 4). Confirmation of MET amplification by fluorescence in situ hybridization (FISH) was performed only in samples with MET positivity on immunohistochemistry (2+ or 3+ staining intensity in >50.0% of the tumor cells according to the Metmab criteria[14]). Of the 28 patients who underwent rebiopsy, 9 patients (32.1%) had a p.T790M mutation (6 from tumor tissues, 2 from pleural effusions, and one from liquid biopsy). Patients who gained a p.T790M mutation after acquiring resistance to afatinib exhibited a trend towards a longer median PFS compared to those who had not (9.3 vs. 7.3 months, respectively; P > 0.05) (HR: 0.57 [95.0% CI: 0.24–1.33]). Seven of 20 samples had MET positivity on immunohistochemistry. Furthermore, FISH only confirmed one positive MET amplifications. We also checked the MET IHC staining and amplification from the paired specimens before afatinib treatment. Totally 16 paired specimens were analyzed. Five (31.3%) of 16 pre-afatinib tissues had MET positivity on IHC, but none of them had MET amplification by FISH. Comparing the paired tissue, 4 tumors with grade 0~1+ of MET IHC staining in pre-afatinib biopsy became grade 2+~3+ in rebiopsy specimens, and 7 grade 0~1+ tumors did not change their MET expression. Conversely, 3 samples with grade 2~3+ staining before afatinib becoming grade 0~1+ after treatment. Notably, 2 tumors with MET grade 2+~3+ consistently gained grade 3+ stain in rebiopsy specimens, and one of them gained MET amplification after afatinib resistance.

DISCUSSION

In this real-world cohort study, the enrolled patients had a relatively good ECOG PS, with 129 (92.1%) of 140 patients having an ECOG PS of 0–1. This was comparable to the LUX-Lung 3 [10] and LUX-Lung 6 [11] trials in which only patients with a favorable ECOG PS of 0–1 were enrolled. The median age of our patients was 61 years, which was also comparable to the LUX-Lung 3 [10] and LUX-Lung 6 [11] trials, with a median age of 62 and 58 years, respectively. Ninety-eight (70.0%) of the 140 enrolled patients had never smoked, which was comparable to the 67.4% and 74.8% in the LUX-Lung 3 [10] and LUX-Lung 6 [11] trials, respectively. The median PFS of our patients (11.8 months) was also comparable to that of the LUX-Lung 3 [10] and LUX-Lung 6 [11] trials (11.0 and 11.1 months, respectively).

Dose prescriptions and adjustments of afatinib are of considerable clinical concern owing to the tolerability of adverse events, with most drug adjustments having been made during the first 6 months in clinical trials [15, 16]. In our study, afatinib was prescribed at an initial dose of 40 mg in 70.0% of the patient population. Of these, 29.6% of patients underwent dose reduction (the majority within the first 6 months). Although a minority of the patient population had received afatinib at an initial lower dose of 30.0 mg, 21.4% of patients still underwent dose reduction. In 7 patients, afatinib was switched to another EGFR-TKI (gefitinib or erlotinib), due to the presence of severe adverse events. None of the patients experiencing diarrhea were switched to a different EGFR-TKI, suggesting that diarrhea could be treated by dose reduction of afatinib and prescription of antidiarrheal agents. In a comparison of the 40 mg and < 40 mg groups, male gender, a BMI of ≥ 20.0, and higher BSA were more prevalent in the 40 mg group. Conversely, no significant difference in age was observed between the two groups.

The LUX-Lung 3 and LUX-Lung 6 post hoc analyses focusing tolerability-guided dose adjustments [17] could reduce afatinib-related adverse events without affecting therapeutic efficacy. In this real-world cohort study, patients administered with 40 mg of afatinib had a higher ORR than patients administered with < 40 mg of afatinib (74.0% vs. 58.0%, respectively), although this was not significant (P > 0.05). The median PFS was also not significant between the two groups (HR: 0.84 [95.0% CI: 0.53–1.31]; P > 0.05).

Subgroup analyses of the LUX-Lung 3 and LUX-Lung 6 trials have demonstrated that lung adenocarcinoma patients harboring exon 19 deletions have a favorable PFS compared to patients harboring p.L858R point mutations. In a molecular epidemiology study focusing on EGFR mutations across 7 Asian regions [4], including Taiwan, the proportion of patients with exon 19 deletions and p.L858R point mutations were found to be comparable (22.1% vs. 20.9% of 1,450 patients, respectively). In our real-world cohort study, 81 patients (57.9%) with exon 19 deletions and 24 patients (17.1%) with p.L858R point mutations were enrolled, which differed from the proportions of patients in the Asian epidemiological report. One possible explanation could be that physicians have prescribed afatinib as a first-line treatment based on the significantly favorable outcome of OS in the exon 19 deletion subgroup [18, 19]. In our study, we were unable to represent and reproduce the significantly superior OS outcome in exon 19 deletion patients compared to p.L858R point mutation patients owing to the disproportionate patients enrolled and limited follow-up (maximum duration, 28.0 months). Therefore, further clinical studies may be required to determine whether exon 19 deletion patients have a superior PFS outcome after afatinib treatment compared to those harboring the p.L858R point mutation.

Patients harboring mutations of de novo p.T790M mutations and exon 20 insertions, have demonstrated a reduced benefit in clinical outcomes compared to other mutations (e.g., p.G719X, p.L861Q, and p.S768I) [20]. In our real-world cohort study, ORRs of 25.0% and 60.0% were observed for patients with exon 20 insertions or complex mutations and de novo p.T790M mutations, respectively. These 5 de novo p.T790M were detected by the method of matrix-assisted laser desorption ionization–time of flight mass spectrometry (MALDI-TOF MS) and had concomitant p.L858R or p.G719A mutation. The MALDI-TOF MS method was ultra-sensitive to detect minor pre-treated p.T790M than direct sequencing [21]. Despite the initial response to afatinib, 3 of those 5 patients experienced disease progression within 6 months.

EGFR-TKI concentration and penetration of the blood-brain-barrier have remained a concern in treating lung adenocarcinoma patients with brain metastases. High-dose first-generation EGFR-TKIs may be administered as a single agent for brain metastases to increase the cerebrospinal fluid drug concentration [22, 23]. However, the efficacy and survival benefits are unclear due to a lack of conclusive evidence. Nonetheless, not all patients can tolerate the side effects. The concomitant use of erlotinib and whole brain radiotherapy followed by erlotinib maintenance therapy could be advantageous in terms of PFS or OS outcomes in EGFR mutation-positive patients [24]. The Afatinib Compassionate Use Consortium [25] has stated that a greater cerebral response to afatinib treatment was observed in 11 (35.5%) of 31 EGFR mutation-positive patients compared to those in the chemotherapy group. In our real-world cohort study, patients with brain metastases had a significantly poorer median PFS compared to those without brain metastases.

The mechanism(s) of acquired resistance after receiving afatinib as a first-line treatment for advanced EGFR mutation-positive lung adenocarcinoma is not clearly understood. The patients enrolled in this study were all systemic treatment-naïve patients. The most common mechanism of acquired resistance to first-generation EGFR-TKIs is the p.T790M mutation that accounts for 50.0–63.0% of cases [26, 27]. The p.T790M mutation also represents the primary mechanism of acquired resistance to afatinib that accounts for 36.4% (4 of 11 patients having rebiopsy samples) [28] and 50.0% (7 of 14 patients receiving afatinib as first-line treatment) [29]. Our findings confirmed that the p.T790M mutation was the main mechanism of acquired resistance, followed by MET amplifications. Patients with p.T790M mutation-positive acquired resistance had a significantly longer post-progression survival and more indolent progression of the lung adenocarcinoma than p.T790M mutation-negative patients [30, 31]. The limited availability of rebiopsy tissue and shorter follow-up intervals (maximum duration, 28.0 months) has led to a reduction in the incidence of the p.T790M mutation compared to previous studies [28, 29].

This study had some limitations. First, this was a retrospectively observational study. There was a bias of selection of usage of EGFR TKIs. Eight patients with PS 4 received afatinib for less than 30 days were excluded for analysis. Second, we did not perform next-generation sequencing to have a complete analysis of possible acquired resistant mechanism because of the limited tissue and facility.

In conclusion, real-world first-line afatinib data reproduces the findings of several clinical trials. Dose reduction does not reduce the efficacy of afatinib. Patients with brain metastases at the time of initial diagnosis had a poorer ECOG PS, a shorter PFS, and suffered more disease progression in the brain. Advanced EGFR mutation-positive non-small cell lung cancer patients presenting with significant weight loss (>10.0%) and brain metastases had a shorter PFS. The treatment response could provide the reference for a longer treatment benefit. The p.T790M mutation is the most common mechanism of acquired resistance to afatinib.

MATERIALS AND METHODS

Patients and data collection

Afatinib has been reimbursed by the Taiwan National Health Insurance scheme as a first-line therapy for the treatment of advanced EGFR mutation-positive lung adenocarcinoma patients since May 2014. We subsequently retrieved the list of approved afatinib applications to the Taiwan National Health Insurance scheme from the National Taiwan University Hospital (Taipei, Taiwan) between May 2014 and January 2016. Patients were excluded because (1) their EGFR mutation status was unknown, (2) they were administered afatinib for < 30 days, (3) they were treated with combination immunotherapy, or (4) they had received palliative chemotherapy prior to afatinib treatment. This study was approved by the Research Ethics Committee of the National Taiwan University Hospital (Taipei, Taiwan). All participants have provided written informed consent and research was conducted in accordance with the 1964 Declaration of Helsinki and its later amendments.

Total 152 patients were screened initially, and 12 patients were excluded from our study, including 4 patients received other EGFR TKI treatment previously or immune checkpoint therapy concomitantly, and 8 patients received afatinib less than 30 days because of PS 4 (Supplementary Figure 1). The 140 enrolled patients’ clinical characteristics and medical records, including demographic information and treatment courses, were collected consecutively until August 2016. Ex-smokers were defined as patients who had ceased smoking for >1 year at the time of a lung cancer diagnosis. Body height and weight were measured and presented as the BMI (body weight [kg]/body height [m]2) and BSA ([body Height (cm) x body weight (kg)/ 3600 ]½). According to ‘malnutrition universal screening tool’ (‘MUST’) for nutrition evaluation of adult cancer patients, BMI less than 20 when cancer diagnosed was recognized as mild malnutrition status [32]. Poor nutrition status may easily cause these patients to interrupt treatment regimens and have uncontrolled diseases [33]. Therefore, we set the threshold of BMI of 20.0 for pre-treatment nutrition evaluation and possibility of treatment interruptions. Significant weight loss was defined as a >10.0% loss within 6 months prior to the diagnosis of lung cancer. The PS was determined according to the ECOG scale [34]. All lung adenocarcinoma patients had advanced-stage disease (Stage IIIB or Stage IV according to the American Joint Committee on Cancer [seventh edition] [35]) and received single-agent treatment with afatinib. Adverse events were categorized and graded according to the United States National Cancer Institute's Common Terminology Criteria for Adverse Events (version 3.0) [36].

The dosage and duration of afatinib treatment were also recorded. Although BIBW2992 (afatinib) phase I trial proved the safety and antitumor activity of 40 or 50 mg as daily dosage [37], afatinib was approved starting dose 40 mg/day then applying to several clinical trials [10, 11]. Patients who remained on 40 mg of afatinib per day (none of the patients in our hospital exceeded 40 mg) during the first 6 months of treatment were compared with those whose dose was reduced to < 40 mg per day [17].

Tumor responses were determined from patients’ medical records by the primary care physician and independent image reviewing by investigators according to the Response Evaluation Criteria in Solid Tumors (version 1.1) [38]. PFS was defined, in days, as the period from commencing afatinib treatment to the point of radiologically documented disease progression or death from any cause.

Meanwhile, the results of the molecular and pathological analyses were checked against the patients’ medical records.

The cutoff date for acquiring consecutive data and follow-up clinical information after afatinib treatment in this patient population was August 31, 2016. The median follow-up duration was 18.0 (range, 8.0–28.0) months.

Information on EGFR mutation status

We retrospectively collected the records of the EGFR mutation status of patients from formal pathology reports and referral data from other hospitals. Cancer specimens from our hospital included primary lung adenocarcinomas, tissues from metastatic sites, and malignant effusion cell blocks.

Detection of MET expression by immunohistochemical staining

Tissue sections (4.0 μm thick) were dewaxed and rehydrated. Antigen retrieval was performed in an autoclave using Epitope Retrieval Solutions (Leica Biosystems, Newcastle, UK) at pH 9.0 for 10 minutes at 121.0°C. The slides were allowed to react with a c-MET specific antibody (clone SP44, 1:50 dilution; Ventana Medical Systems, Inc., Tucson, AZ, USA) at room temperature for 1 hour. The slides were incubated using an immunohistochemical stain detection kit (UltraVisionTM Quanto Detection System; Thermo Fisher Scientific, Inc., Waltham, MA, USA) and counterstained with hematoxylin. For the negative controls, the primary antibody was replaced with 5.0% fetal bovine serum. Staining intensities were categorized as 0 (no staining), 1+ (weak cytoplasmic staining), 2+ (moderate cytoplasmic staining), or 3+ (strong cytoplasmic staining). MET positivity by immunohistochemistry was defined as a 2+ or 3+ staining intensity in ≥ 50.0% of the tumor cells according to the Metmab criteria used in the NCT01456325 study [14], a Metmab phase III trial of advanced non-small cell lung cancer patients.

Detection of MET amplification by fluorescence in situ hybridization

The commercially available ZytoLight SPEC MET/CEN 7 Dual Color Probe (ZytoVision GmbH, Bremerhaven, Germany) was used to detect MET amplifications. Briefly, paraffin-embedded tissue sections (4.0 μm thick) were deparaffinized in 3′ 10 minute washes of xylene, followed by 2′ 5 minute washes of 100.0% ethanol. The sections were treated with a pretreatment reagent (Abbott Molecular, Inc., Des Plaines, IL, USA) for 30–50 minutes at 80.0°C, after which the sections were treated with protease mixed with a protease buffer. The sections were hybridized using specific FISH probes. The results were analyzed using a fluorescence microscope (the AXIO Imager.D2) and AxioVision Microscopy Software for Windows, version 4.5 (Carl Zeiss AG, Oberkochen, Germany). In each case, 50 non-overlapping tumor cell nuclei were evaluated. Cases were considered to be MET amplification positive with a MET/CEN 7 ratio of ≥ 2.0 (truly amplified) and/or ≥ 5.0 copies of MET (high polysomy).

Statistical analyses

In our study, categorical variables were analyzed using Pearson's chi-squared tests, except in instances where a small sample size of < 5 required the use of a Fisher's exact test. OS and PFS curves were calculated using the Kaplan-Meier method and compared by the log-rank test. Multivariate analysis of PFS was performed using the Cox proportional hazards model in which HRs and 95.0% CIs were derived for comparisons between the treatment subgroups of interest. All statistical analyses were conducted using Statistical Package for the Social Sciences for Windows software version 18.0 (SPSS Inc., Chicago, IL, USA). PFS curves were plotted using Stata for Windows software version 14.0 (StataCorp, College station, TX, USA). A two-sided P < 0.05 was considered statistically significant.

SUPPLEMENTARY MATERIALS FIGURES AND TABLES

Acknowledgments

We wish to thank the National Taiwan University Hospital and College of Medicine and the Office of Research and Development of the National Taiwan University (Taipei, Taiwan) for facility support. We also wish to thank Chao-Lun Lai and Min-Hui Yang from the Biotechnology R&D Center at the National Taiwan University Hospital Hsinchu Branch (Hsinchu, Taiwan) for providing statistical consultation.

Abbreviations

BMI

body mass index

CI

confidence interval

ECOG

Eastern Cooperative Oncology Group

EGFR-TKI

epidermal growth factor receptor-tyrosine kinase inhibitor

FISH

fluorescence in situ hybridization

HR

hazard ratio

IHC

immunohistochemical

ORR

objective response rate

OS

overall survival

PFS

progression-free survival

PS

performance status

Authors’ contributions

S.-K.L. collected patients’ information, analyzed data, and wrote the manuscript. M.-S.H. performed experiments and interpreted results of MET amplifications, and wrote part of the manuscript. J.-Y.S. designed the research and supervised the study. M.-R.L., L.-T.K., and J.-C.K. edited and revised the manuscript. All authors read and approved the final manuscript.

CONFLICTS OF INTEREST

Sheng-Kai Liang has received honoraria for speeches from Pfizer and Boehringer Ingelheim, and Jen-Chung Ko has received honoraria for speeches from Boehringer Ingelheim, AstraZeneca, and Roche, and Jin-Yuan Shih has received speaking honoraria from AstraZeneca, Roche, Pfizer, Boehringer Ingelheim, Merck Sharp & Dohme, and Eli Lilly.

FUNDING

None.

REFERENCES

  • 1.Lynch TJ, Bell DW, Sordella R, Gurubhagavatula S, Okimoto RA, Brannigan BW, Harris PL, Haserlat SM, Supko JG, Haluska FG, Louis DN, Christiani DC, Settleman J, et al. Activating mutations in the epidermal growth factor receptor underlying responsiveness of non-small-cell lung cancer to gefitinib. N Engl J Med. 2004;350:2129–2139. doi: 10.1056/NEJMoa040938. [DOI] [PubMed] [Google Scholar]
  • 2.Ciardiello F, Tortora G. EGFR antagonists in cancer treatment. N Engl J Med. 2008;358:1160–1174. doi: 10.1056/NEJMra0707704. [DOI] [PubMed] [Google Scholar]
  • 3.Herbst RS, Heymach JV, Lippman SM. Lung cancer. N Engl J Med. 2008;359:1367–1380. doi: 10.1056/NEJMra0802714. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.Shi Y, Au JS, Thongprasert S, Srinivasan S, Tsai CM, Khoa MT, Heeroma K, Itoh Y, Cornelio G, Yang PC. A prospective, molecular epidemiology study of EGFR mutations in Asian patients with advanced non-small-cell lung cancer of adenocarcinoma histology (PIONEER) J Thorac Oncol. 2014;9:154–162. doi: 10.1097/JTO.0000000000000033. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.Mok TS, Wu YL, Thongprasert S, Yang CH, Chu DT, Saijo N, Sunpaweravong P, Han B, Margono B, Ichinose Y, Nishiwaki Y, Ohe Y, Yang JJ, et al. Gefitinib or carboplatin-paclitaxel in pulmonary adenocarcinoma. New Engl J Med. 2009;361:947–957. doi: 10.1056/NEJMoa0810699. [DOI] [PubMed] [Google Scholar]
  • 6.Zhou C, Wu YL, Chen G, Feng J, Liu XQ, Wang C, Zhang S, Wang J, Zhou S, Ren S, Lu S, Zhang L, Hu C, et al. Erlotinib versus chemotherapy as first-line treatment for patients with advanced EGFR mutation-positive non-small-cell lung cancer (OPTIMAL, CTONG-0802): a multicentre, open-label, randomised, phase 3 study. Lancet Oncol. 2011;12:735–742. doi: 10.1016/S1470-2045(11)70184-X. [DOI] [PubMed] [Google Scholar]
  • 7.Li D, Ambrogio L, Shimamura T, Kubo S, Takahashi M, Chirieac LR, Padera RF, Shapiro GI, Baum A, Himmelsbach F, Rettig WJ, Meyerson M, Solca F, et al. BIBW2992, an irreversible EGFR/HER2 inhibitor highly effective in preclinical lung cancer models. Oncogene. 2008;27:4702–4711. doi: 10.1038/onc.2008.109. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Takezawa K, Okamoto I, Tanizaki J, Kuwata K, Yamaguchi H, Fukuoka M, Nishio K, Nakagawa K. Enhanced anticancer effect of the combination of BIBW2992 and thymidylate synthase-targeted agents in non-small cell lung cancer with the T790M mutation of epidermal growth factor receptor. Mol Cancer Ther. 2010;9:1647–1656. doi: 10.1158/1535-7163.MCT-09-1009. [DOI] [PubMed] [Google Scholar]
  • 9.Furuyama K, Harada T, Iwama E, Shiraishi Y, Okamura K, Ijichi K, Fujii A, Ota K, Wang S, Li H, Takayama K, Giaccone G, Nakanishi Y. Sensitivity and kinase activity of epidermal growth factor receptor (EGFR) exon 19 and others to EGFR-tyrosine kinase inhibitors. Cancer Sci. 2013;104:584–589. doi: 10.1111/cas.12125. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Sequist LV, Yang JC, Yamamoto N, O’Byrne K, Hirsh V, Mok T, Geater SL, Orlov S, Tsai CM, Boyer M, Su WC, Bennouna J, Kato T, et al. Phase III study of afatinib or cisplatin plus pemetrexed in patients with metastatic lung adenocarcinoma with EGFR mutations. J Clin Oncol. 2013;31:3327–3334. doi: 10.1200/JCO.2012.44.2806. [DOI] [PubMed] [Google Scholar]
  • 11.Wu YL, Zhou C, Hu CP, Feng J, Lu S, Huang Y, Li W, Hou M, Shi JH, Lee KY, Xu CR, Massey D, Kim M, et al. Afatinib versus cisplatin plus gemcitabine for first-line treatment of Asian patients with advanced non-small-cell lung cancer harbouring EGFR mutations (LUX-Lung 6): an open-label, randomised phase 3 trial. Lancet Oncol. 2014;15:213–222. doi: 10.1016/S1470-2045(13)70604-1. [DOI] [PubMed] [Google Scholar]
  • 12.Park K, Tan EH, O’Byrne K, Zhang L, Boyer M, Mok T, Hirsh V, Yang JC, Lee KH, Lu S, Shi Y, Kim SW, Laskin J, et al. Afatinib versus gefitinib as first-line treatment of patients with EGFR mutation-positive non-small-cell lung cancer (LUX-Lung 7): a phase 2B, open-label, randomised controlled trial. Lancet Oncol. 2016;17:577–589. doi: 10.1016/S1470-2045(16)30033-X. [DOI] [PubMed] [Google Scholar]
  • 13.Roche N, Reddel H, Martin R, Brusselle G, Papi A, Thomas M, Postma D, Thomas V, Rand C, Chisholm A, D; Price. Respiratory Effectiveness Group. Quality standards for real-world research. Focus on observational database studies of comparative effectiveness. Ann Am Thorac Soc. 2014;11:S99–S104. doi: 10.1513/AnnalsATS.201309-300RM. [DOI] [PubMed] [Google Scholar]
  • 14.Spigel DR, Edelman MJ, Mok T, O’Byrne K, Paz-Ares L, Yu W, Rittweger K, H; Thurm. MetLung Phase III Study Group. Treatment Rationale Study Design for the MetLung Trial: A Randomized, Double-Blind Phase III Study of Onartuzumab (MetMAb) in Combination With Erlotinib Versus Erlotinib Alone in Patients Who Have Received Standard Chemotherapy for Stage IIIB or IV Met-Positive Non-Small-Cell Lung Cancer. Clin Lung Cancer. 2012;13:500–504. doi: 10.1016/j.cllc.2012.05.009. [DOI] [PubMed] [Google Scholar]
  • 15.Eskens FA, Mom CH, Planting AS, Gietema JA, Amelsberg A, Huisman H, van Doorn L, Burger H, Stopfer P, Verweij J, de Vries EG. A phase I dose escalation study of BIBW 2992, an irreversible dual inhibitor of epidermal growth factor receptor 1 (EGFR) and 2 (HER2) tyrosine kinase in a 2-week on, 2-week off schedule in patients with advanced solid tumours. Br J Cancer. 2008;98:80–85. doi: 10.1038/sj.bjc.6604108. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Yang JC, Shih JY, Su WC, Hsia TC, Tsai CM, Ou SH, Yu CJ, Chang GC, Ho CL, Sequist LV, Dudek AZ, Shahidi M, Cong XJ, et al. Afatinib for patients with lung adenocarcinoma and epidermal growth factor receptor mutations (LUX-Lung 2): a phase 2 trial. Lancet Oncol. 2012;13:539–548. doi: 10.1016/S1470-2045(12)70086-4. [DOI] [PubMed] [Google Scholar]
  • 17.Yang JC, Sequist LV, Zhou C, Schuler M, Geater SL, Mok T, Hu CP, Yamamoto N, Feng J, O’Byrne K, Lu S, Hirsh V, Huang Y, et al. Effect of dose adjustment on the safety and efficacy of afatinib for EGFR mutation-positive lung adenocarcinoma: post hoc analyses of the randomized LUX-Lung 3 and 6 trials. Ann Oncol. 2016;27:2103–2110. doi: 10.1093/annonc/mdw322. [DOI] [PubMed] [Google Scholar]
  • 18.Yang JC, Wu YL, Schuler M, Sebastian M, Popat S, Yamamoto N, Zhou C, Hu CP, O’Byrne K, Feng J, Lu S, Huang Y, Geater SL, et al. Afatinib versus cisplatin-based chemotherapy for EGFR mutation-positive lung adenocarcinoma (LUX-Lung 3 and LUX-Lung 6): analysis of overall survival data from two randomised, phase 3 trials. Lancet Oncol. 2015;16:141–151. doi: 10.1016/S1470-2045(14)71173-8. [DOI] [PubMed] [Google Scholar]
  • 19.Kuan FC, Kuo LT, Chen MC, Yang CT, Shi CS, Teng D, Lee KD. Overall survival benefits of first-line EGFR tyrosine kinase inhibitors in EGFR-mutated non-small-cell lung cancers: a systematic review and meta-analysis. Br J Cancer. 2015;113:1519–1528. doi: 10.1038/bjc.2015.356. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.Yang JC, Sequist LV, Geater SL, Tsai CM, Mok TS, Schuler M, Yamamoto N, Yu CJ, Ou SH, Zhou C, Massey D, Zazulina V, Wu YL. Clinical activity of afatinib in patients with advanced non-small-cell lung cancer harbouring uncommon EGFR mutations: a combined post-hoc analysis of LUX-Lung 2, LUX-Lung 3, and LUX-Lung 6. Lancet Oncol. 2015;16:830–838. doi: 10.1016/S1470-2045(15)00026-1. [DOI] [PubMed] [Google Scholar]
  • 21.Su KY, Chen HY, Li KC, Kuo ML, Yang JC, Chan WK, Ho BC, Chang GC, Shih JY, Yu SL, Yang PC. Pretreatment epidermal growth factor receptor (EGFR) T790M mutation predicts shorter EGFR tyrosine kinase inhibitor response duration in patients with non-small-cell lung cancer. J Clin Oncol. 2012;30:433–440. doi: 10.1200/JCO.2011.38.3224. [DOI] [PubMed] [Google Scholar]
  • 22.Grommes C, Oxnard GR, Kris MG, Miller VA, Pao W, Holodny AI, Clarke JL, Lassman AB. “Pulsatile” high-dose weekly erlotinib for CNS metastases from EGFR mutant non-small cell lung cancer. Neuro Oncol. 2011;13:1364–1369. doi: 10.1093/neuonc/nor121. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23.Park SJ, Kim HT, Lee DH, Kim KP, Kim SW, Suh C, Lee JS. 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;77:556–560. doi: 10.1016/j.lungcan.2012.05.092. [DOI] [PubMed] [Google Scholar]
  • 24.Chen Y, Yang J, Li X, Hao D, Wu X, Yang Y, He C, Wang W, Wang J. First-line epidermal growth factor receptor (EGFR)-tyrosine kinase inhibitor alone or with whole-brain radiotherapy for brain metastases in patients with EGFR-mutated lung adenocarcinoma. Cancer Sci. 2016;107:1800–1805. doi: 10.1111/cas.13079. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25.Hoffknecht P, Tufman A, Wehler T, Pelzer T, Wiewrodt R, Schütz M, Serke M, Stöhlmacher-Williams J, Märten A, Maria Huber R, NJ; Dickgreber. Afatinib Compassionate Use Consortium (ACUC). Efficacy of the irreversible ErbB family blocker afatinib in epidermal growth factor receptor (EGFR) tyrosine kinase inhibitor (TKI)-pretreated non-small-cell lung cancer patients with brain metastases or leptomeningeal disease. J Thorac Oncol. 2015;10:156–163. doi: 10.1097/JTO.0000000000000380. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26.Yu HA, Arcila ME, Rekhtman N, Sima CS, Zakowski MF, Pao W, Kris MG, Miller VA, Ladanyi M, Riely GJ. Analysis of tumor specimens at the time of acquired resistance to EGFR-TKI therapy in 155 patients with EGFR-mutant lung cancers. Clin Cancer Res. 2013;19:2240–2247. doi: 10.1158/1078-0432.CCR-12-2246. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27.Cambidge DR, Pao W, Sequist LV. Acquired resistance to TKIs in solid tumours: learning from lung cancer. Nature reviews Clinical oncology. 2014;11:473–481. doi: 10.1038/nrclinonc.2014.104. [DOI] [PubMed] [Google Scholar]
  • 28.Campo M, Gerber D, Gainor JF, Heist RS, Temel JS, Shaw AT, Fidias P, Muzikansky A, Engelman JA, Sequist LV. Acquired Resistance to First-Line Afatinib and the Challenges of Prearranged Progression Biopsies. J Thorac Oncol. 2016;11:2022–2026. doi: 10.1016/j.jtho.2016.06.032. [DOI] [PubMed] [Google Scholar]
  • 29.Wu SG, Liu YN, Tsai MF, Chang YL, Yu CJ, Yang PC, Yang JC, Wen YF, Shih JY. The mechanism of acquired resistance to irreversible EGFR tyrosine kinase inhibitor-afatinib in lung adenocarcinoma patients. Oncotarget. 2016;7:12404–12413. doi: 10.18632/oncotarget.7189. https://doi.org/10.18632/oncotarget.7189. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30.Oxnard GR, Arcila ME, Sima CS, Riely GJ, Chmielecki J, Kris MG, Pao W, Ladanyi M, Miller VA. Acquired resistance to EGFR tyrosine kinase inhibitors in EGFR-mutant lung cancer: distinct natural history of patients with tumors harboring the T790M mutation. Clin Cancer Res. 2011;17:1616–1622. doi: 10.1158/1078-0432.CCR-10-2692. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 31.Hata A, Katakami N, Yoshioka H, Takeshita J, Tanaka K, Nanjo S, Fujita S, Kaji R, Imai Y, Monden K, Matsumoto T, Nagata K, Otsuka K, et al. Rebiopsy of non-small cell lung cancer patients with acquired resistance to epidermal growth factor receptor-tyrosine kinase inhibitor: Comparison between T790M mutation-positive and mutation-negative populations. Cancer. 2013;119:4325–4332. doi: 10.1002/cncr.28364. [DOI] [PubMed] [Google Scholar]
  • 32.Stratton RJ, Hackston A, Longmore D, Dixon R, Price S, Stroud M, King C, Elia M. Malnutrition in hospital outpatients and inpatients: prevalence, concurrent validity and ease of use of the ‘malnutrition universal screening tool’ (‘MUST’) for adults. Br J Nutr. 2004;92:799–808. doi: 10.1079/bjn20041258. [DOI] [PubMed] [Google Scholar]
  • 33.Ravasco P, Monteiro-Grillo I, Marques Vidal P, Camilo ME. Impact of nutrition on outcome: a prospective randomized controlled trial in patients with head and neck cancer undergoing radiotherapy. Head Neck. 2005;27:659–668. doi: 10.1002/hed.20221. [DOI] [PubMed] [Google Scholar]
  • 34.Oken MM, Creech RH, Tormey DC, Horton J, Davis TE, McFadden ET, Carbone PP. Toxicity and response criteria of the Eastern Cooperative Oncology Group. American journal of clinical oncology. 1982;5:649–655. [PubMed] [Google Scholar]
  • 35.Edge SB, Compton CC. The American Joint Committee on Cancer: the 7th edition of the AJCC cancer staging manual and the future of TNM. Annals of surgical oncology. 2010;17:1471–1474. doi: 10.1245/s10434-010-0985-4. [DOI] [PubMed] [Google Scholar]
  • 36.Bruner DW, Hanisch LJ, Reeve BB, Trotti AM, Schrag D, Sit L, Mendoza TR, Minasian L, O’Mara A, Denicoff AM, Rowland JH, Montello M, Geoghegan C, et al. Stakeholder perspectives on implementing the National Cancer Institute›s patient-reported outcomes version of the Common Terminology Criteria for Adverse Events (PRO-CTCAE) Transl Behav Med. 2011;1:110–122. doi: 10.1007/s13142-011-0025-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 37.Yap TA, Vidal L, Adam J, Stephens P, Spicer J, Shaw H, Ang J, Temple G, Bell S, Shahidi M, Uttenreuther-Fischer M, Stopfer P, Futreal A, et al. Phase I trial of the irreversible EGFR and HER2 kinase inhibitor BIBW 2992 in patients with advanced solid tumors. J Clin Oncol. 2010;28:3965–3972. doi: 10.1200/JCO.2009.26.7278. [DOI] [PubMed] [Google Scholar]
  • 38.Eisenhauer EA, Therasse P, Bogaerts J, Schwartz LH, Sargent D, Ford R, Dancey J, Arbuck S, Gwyther S, Mooney M, Rubinstein L, Shankar L, Dodd L, et al. New response evaluation criteria in solid tumours: revised RECIST guideline (version 1.1) Eur J Cancer. 2009;45:228–247. doi: 10.1016/j.ejca.2008.10.026. [DOI] [PubMed] [Google Scholar]

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