Literature DB >> 34552354

Efficacy and Prognosis of First-Line EGFR-Tyrosine Kinase Inhibitor Treatment in Older Adults Including Poor Performance Status Patients with EGFR-Mutated Non-Small-Cell Lung Cancer.

Cheng-Yu Chang1, Chung-Yu Chen2,3, Shih-Chieh Chang4,5,6, Yi-Chun Lai4,5, Yu-Feng Wei7,8,9.   

Abstract

INTRODUCTION: Epidermal growth factor receptor tyrosine kinase inhibitors (EGFR-TKIs) are standard first-line treatments for advanced EGFR-mutated non-small-cell lung cancer (NSCLC) patients. The efficacy of EGFR-TKIs in older patients including poor Eastern Cooperative Oncology Group (ECOG) performance status (PS) is seldom investigated.
METHODS: We enrolled patients 65 years or older with EGFR-mutated Stage IIIB-IV NSCLC and evaluated the efficacy and prognosis of first-line EGFR-TKI treatment. Clinical and demographic characteristics were reviewed and analyzed, including age, sex, PS, smoking history, EGFR mutation type, treatment regimen, progression-free survival (PFS), and overall survival (OS).
RESULTS: From January 2015 to December 2019, a total of 237 patients were included, 205 of whom were eligible for efficacy and outcome analyses. Among them, 91 (44.4%) were categorized as poor PS (2-4). Compared with patients categorized as good PS (0-1), those with poor PS were older (79 versus 75 years), had a higher proportion of brain metastases (41.8% versus 25.4%), more comorbidities (74.7% versus 54.4%), and more likely to be treated with first-generation TKIs (74.7% versus 57.0%). The PFS and OS were 17.1 and 26.7 months respectively in patients with good PS and 12.7 and 18.2 months in those with poor PS (both p < 0.001). In the multivariate analysis, good PS, <3 metastatic sites, and first-line treatment with afatinib compared with erlotinib and gefitinib were associated with longer PFS. A relatively younger age, good PS, < 3 metastatic sites, and no brain metastasis at diagnosis were associated with better OS.
CONCLUSION: In older patients with EGFR-mutated NSCLC and receive EGFR-TKI treatment, a good PS and <3 metastatic sites at diagnosis were associated with a longer PFS and OS. In addition, afatinib as first-line treatment was associated with a longer PFS whereas a relatively younger age and no brain metastasis at diagnosis were associated with better OS.
© 2021 Chang et al.

Entities:  

Keywords:  epidermal growth factor receptor tyrosine kinase inhibitor; non-small-cell lung cancer; older adults; performance status

Year:  2021        PMID: 34552354      PMCID: PMC8450762          DOI: 10.2147/CMAR.S322967

Source DB:  PubMed          Journal:  Cancer Manag Res        ISSN: 1179-1322            Impact factor:   3.989


Introduction

Lung cancer is the leading cause of cancer deaths worldwide, including in Taiwan.1 Non-small cell lung cancer (NSCLC) accounts for 85% of all lung cancer cases, and more than 70% of NSCLC patients present with locally advanced or metastatic disease (Stage III or IV) at initial diagnosis.2 In Taiwan, approximately two-thirds of all lung cancer patients are older than 65 years at the time of diagnosis and have significantly inferior overall survival (OS) than those with age < 65 years.3 Older patients commonly present with a reduced ability to perform activities of daily living, multiple comorbid diseases, declining organ function, and reduced cognitive function. Given the increased toxicity of chemotherapy among the older adult population, the recommended therapeutic regimens (monotherapy or platinum-based combination therapy) used to treat lung cancer in this population varies in different countries. Patients with epidermal growth factor receptor (EGFR)-mutated NSCLC have been reported to display a higher response rate and longer progression-free survival (PFS) when treated with EGFR tyrosine kinase inhibitors (TKIs) compared with conventional chemotherapy.4–6 Several studies have reported that EGFR-TKIs produce favorable outcomes and acceptable toxicity levels among older patients with EGFR-mutated advanced NSCLC.7–11 Available safety and efficacy data regarding anti-cancer treatments in lung cancer patients with Eastern Cooperative Oncology Group (ECOG) performance status (PS) of 2–4 are quite limited because this population has been universally excluded from large clinical trials. However, patients with poor PS (2–4) comprise 34–48% of all lung cancer patients at the time of initial diagnosis.12 A recent study reported that the lung cancer survival rate increased significantly following the launch of gefitinib and erlotinib in Taiwan.13 However, whether the improved outcomes, including the response rate, PFS, and OS, reported for EGFR-TKI treatment can be observed among older patients with poor PS remains unknown. The aim of this study was to examine the efficacy and prognosis of various EGFR-TKIs as first-line treatments for EGFR-mutated NSCLC in patients 65 years and older, including those with poor PS of 2–4. The associated factors that impact the outcomes in this population were also analyzed.

Materials and Methods

Patient Selection and Data Collection

This study was performed as a multicenter, retrospective study of a single medical center and 3 regional hospitals in Taiwan. Between January 2015 and December 2019, patients who fulfilled all of the following criteria were eligible for the study: 1) Diagnosed with locally advanced or metastatic (Stage IIIb/IIIc/IV) NSCLC who were confirmed as positive for sensitizing EGFR mutation; 2) EGFR-TKI administered as the first-line treatment; and 3) aged ≥ 65 years at the time of EGFR-TKI treatment initiation. Patients were excluded from the study if they were involved in any clinical trials or received combination treatment, including chemotherapeutic drugs, anti-angiogenesis drugs, or radiotherapy. Patients who were switched to another EGFR-TKI drug during treatment were excluded from efficacy and prognosis analyses. The study was approved by the Institutional Review Boards of all participating hospitals. The type of EGFR-TKI therapy, including 250 mg of gefitinib (Iressa®, AstraZeneca, Cambridge, England), 150 mg of erlotinib (Tarceva®, Hoffmann-La Roche, Basel Switzerland), and 40 mg or 30 mg of afatinib (Giotrif®, Boehringer Ingelheim, Ingelheim, Germany), was recorded at baseline under real-world settings. Demographic and clinical data related to lung cancer were collected, including age, sex, smoking status, cancer staging at diagnosis, metastatic site, EGFR mutation subtype, ECOG PS score, and comorbid diseases at baseline.

Statistical Analysis

Efficacy and prognosis analyses were conducted for all patients who received afatinib, erlotinib, or gefitinib as first-line treatment. Continuous variables with non-normal distributions are expressed as the median (range), whereas categorical variables are expressed as the frequency (percentage). The Kruskal–Wallis analysis was used to compare continuous variables among different groups. The Chi-square test and Fisher’s exact test were used to compare response rates among different subgroups. The median time to PFS and OS were calculated using the Kaplan–Meier method. Subgroup analyses for the objective response rate were implemented according to ECOG PS score, age, and TKI treatment. Univariate Cox regression analyses were applied to evaluate the effects of clinical factors on the prognosis of lung cancer patients treated with EGFR-TKIs. All statistical analyses were performed using SPSS 25.0 and R 3.6.0 software. Significance was accepted at p < 0.05.

Results

A total of 237 patients with NSCLC were screened and enrolled in this study. Of these patients, 32 were excluded due to switching to another TKI drug or missing data, resulting in a total of 205 patients being included in endpoint analyses. Among those patients, 51 (26.0%) were still living at the data collection cutoff point of December 31, 2020. The demographic characteristics of the studied population are presented in Table 1. The median age was 77 years, ranging from 65 to 95 years. The proportions of patients with PS scores of 0–1 and 2–4 were 55.6% and 44.4%, respectively. A large proportion of the patients were women (59.5%), and most were never-smokers (70.2%), followed by former (16.1%) and current smokers (13.7%). Most patients were initially diagnosed at Stage IV (95.6%), with <3 metastatic sites (64.9%). The most common metastatic sites were bone (42.0%), lung (39.0%), pleural effusion (38.0%), brain (32.7%), and liver (8.3%). When treatment was analyzed, 46.3%, 18.5%, 17.6%, and 17.6% of patients were treated with 250 mg gefitinib, 150 mg erlotinib, 40 mg afatinib, and 30 mg afatinib, respectively. The median PFS and OS of the included patients were 13.6 and 26.0 months, respectively.
Table 1

Demographic Information and Baseline Characteristics of the Patients Included in This Study

CharacteristicsPopulation (n = 205)
Age (years), median (range)77 (49–95)
Age group (years)65–7591 (44.6%)
75–8591 (44.6%)
≥8523 (10.8%)
SexFemale122 (59.5%)
Male83 (40.5%)
ECOG Performance Status0–1114 (55.6%)
2–491 (44.4%)
Smoking statusNonsmoker144 (70.2%)
Current smoker28 (13.7%)
Ex-smoker33 (16.1%)
Comorbidities075 (36.6%)
1114 (55.6%)
211 (5.4%)
35 (2.4%)
Metastatic Sites<3133 (64.9%)
≥372 (35.1%)
Bone metastasisNo119 (58%)
Yes86 (42%)
Lung metastasisNo125 (61%)
Yes80 (39%)
Malignant effusionNo127 (62%)
Yes78 (38%)
Brain metastasisNo138 (67.3%)
Yes67 (32.7%)
Liver metastasisNo188 (91.7%)
Yes17 (8.3%)
Other metastasesNo181 (88.3%)
Yes24 (11.7%)
Initial TKI1st generationGefitinib95 (46.3%)
Erlotinib38 (18.5%)
2nd generationAfatinib 40 mg36 (17.6%)
Afatinib 30 mg36 (17.6%)
Adverse EventNo55 (26.8%)
Yes150 (73.2%)
StatusLiving51 (26.0%)
Dead145 (74.0%)

Abbreviations: ECOG, Eastern Cooperative Oncology Group; TKI, tyrosine kinase inhibitor.

Demographic Information and Baseline Characteristics of the Patients Included in This Study Abbreviations: ECOG, Eastern Cooperative Oncology Group; TKI, tyrosine kinase inhibitor. Table 2 summarizes the baseline characteristics of patients according to ECOG PS scores. Compared with patients classified as good PS (0–1), those with poor PS were older (79 versus 75 years, p < 0.001), had a higher proportion of brain metastases (41.8% versus 25.4%, p = 0.013), were more likely to present with comorbidities (74.7% versus 54.4%, p = 0.008), and were more likely to receive first-generation TKIs (74.7% versus 57.0%, p = 0.026). Among patients with PS of 0–1, the PFS and OS were longer than those with PS of 2–4 (PFS: 17.1 versus 12.7 months, p < 0.001; OS: 26.7 versus 18.2 months, p < 0.001; Figure 1). When sorted by patient subgroups, as shown in Table 3, older patients were associated with a higher portion of Stage III disease (p = 0.012) and poorer PS (p < 0.001) but fewer bone metastases (p = 0.030). Figure 2 illustrates that older patients were associated with significantly worse OS (27.3, 20.1, and 14.1 months [p = 0.015] in patients aged 65 to <75 years, 75 to <85 years, and ≥85 years, respectively) but not with significantly worse PFS (17.6, 14.2, and 11.9 months [p = 0.100] in patients aged 65 to <75 years, 75 to <85 years, and ≥85 years, respectively). As shown in Table 4, patients treated with afatinib were relatively younger (p = 0.056), had better PS scores (p = 0.026), fewer liver metastases (p = 0.002), and were associated with significantly better PFS (13.7, 13.2, and 21.4 months in patients treated with gefitinib, erlotinib, and afatinib [p < 0.001], respectively), but not for OS (20.2, 20.0, and 29.0 months in patients treated with gefitinib, erlotinib, and afatinib [p = 0.086], respectively; Figure 3).
Table 2

Subgroup Analysis of Different ECOG PS Groups

CharacteristicsECOG PSP-value
0–1 (n = 114)2–4 (n = 91)All (n = 205)
Age (years), median (range)75 (65–90)79 (65–95)77 (65–95)<0.001
Age (years)
 65–7564 (56.1%)27 (29.7%)91 (44.6%)<0.001
 75–8544 (38.6%)47 (51.6%)91 (44.6%)
 ≥856 (5.3%)17 (18.7%)23 (10.8%)
Sex
 Female74 (64.9%)48 (52.7%)122 (59.5%)0.078
 Male40 (35.1%)43 (47.3%)83 (40.5%)
Initial Stage
 Stage IIIB or IIIC2 (1.8%)7 (7.7%)9 (4.4%)0.081
 Stage IV112 (98.2%)84 (92.3%)196 (95.6%)
Smoking status
 Nonsmoker85 (74.6%)59 (64.8%)144 (70.2%)0.299
 Current smoker14 (12.3%)14 (15.4%)28 (13.7%)
 Ex-smoker15 (13.2%)18 (19.8%)33 (16.1%)
Comorbidities
 052 (45.6%)23 (25.3%)75 (36.6%)0.008
 153 (46.5%)61 (67.0%)114 (55.6%)
 25 (4.4%)6 (6.6%)11 (5.4%)
 34 (3.5%)1 (1.1%)5 (2.4%)
Metastatic Sites
 <370 (61.4%)63 (69.2%)133 (64.9%)0.243
 ≥344 (38.6%)28 (30.8%)72 (35.1%)
Bone metastasis
 No70 (61.4%)49 (53.8%)119 (58%)0.276
 Yes44 (38.6%)42 (46.2%)86 (42%)
Lung metastasis
 No66 (57.9%)59 (64.8%)125 (61%)0.311
 Yes48 (42.1%)32 (35.2%)80 (39%)
Malignant effusion
 No68 (59.6%)59 (64.8%)127 (62%)0.447
 Yes46 (40.4%)32 (35.2%)78 (38%)
Brain metastasis
 No85 (74.6%)53 (58.2%)138 (67.3%)0.013
 Yes29 (25.4%)38 (41.8%)67 (32.7%)
Liver metastasis
 No103 (90.4%)85 (93.4%)188 (91.7%)0.431
 Yes11 (9.6%)6 (6.6%)17 (8.3%)
Other metastasis
 No104 (91.2%)77 (84.6%)181 (88.3%)0.143
 Yes10 (8.8%)14 (15.4%)24 (11.7%)
Initial TKI
 Gefitinib45 (39.5%)50 (54.9%)95 (46.3%)0.026
 Erlotinib20 (17.5%)18 (19.8%)38 (18.5%)
 Afatinib49 (43%)23 (25.3%)72 (35.1%)
Adverse Event
 No31 (27.2%)24 (26.4%)55 (26.8%)0.895
 Yes83 (72.8%)67 (73.6%)150 (73.2%)
Status
 Living41 (36.0%)16 (17.6%)57 (27.8%)0.001
 Dead73 (64.0%)75 (82.4%)148 (72.2%)

Abbreviations: ECOG, Eastern Cooperative Oncology Group; PS, performance status; TKI, tyrosine kinase inhibitor.

Figure 1

Kaplan–Meier plots in months of patients 65 years or older with EGFR-mutated Stage IIIB–IV NSCLC and receiving first-line EGFR-TKI treatment. Patients were grouped according to ECOG PS—0–1 (red, N = 114) and 2–4 (blue, N = 91). The number of patients at risk at 0, 20, 40 and 60 months for each group are indicated in the table below the Kaplan–Meier plot. (A) PFS probability between different ECOG groups. (B) OS probability between different ECOG groups.

Table 3

Subgroup Analysis of Different Age Groups

CharacteristicsAge Groups (Years)P-value
65–75 (n = 91)75–85 (n = 91)≥ 85 (n = 23)All (n = 205)
Sex
 Female56 (61.5%)55 (60.4%)12 (50%)122 (59.8%)0.653
 Male35 (38.5%)36 (39.6%)11 (50%)83 (40.2%)
Initial Stage
 Stage IIIB or IIIC0 (0%)7 (7.7%)3 (9.1%)10 (4.4%)0.012
 Stage IV91 (100%)84 (92.3%)20 (90.9%)195 (95.6%)
ECOG Performance Status
 0–164 (70.3%)44 (48.4%)7 (27.3%)115 (55.9%)<0.001
 2–427 (29.7%)47 (51.6%)16 (72.7%)90 (44.1%)
Smoking status
 Nonsmoker62 (68.1%)66 (72.5%)15 (68.2%)143 (70.1%)0.371
 Current smoker17 (18.7%)8 (8.8%)4 (13.6%)29 (13.7%)
 Ex-smoker12 (13.2%)17 (18.7%)4 (18.2%)33 (16.2%)
Comorbidities
 038 (41.8%)28 (30.8%)9 (40.9%)75 (36.8%)0.439
 145 (49.5%)57 (62.6%)11 (50%)113 (55.4%)
 24 (4.4%)5 (5.5%)3 (9.1%)12 (5.4%)
 34 (4.4%)1 (1.1%)0 (0%)5 (2.5%)
Metastatic Sites
 <356 (61.5%)64 (70.3%)14 (59.1%)134 (65.2%)0.361
 ≥335 (38.5%)27 (29.7%)9 (40.9%)71 (34.8%)
Bone metastasis
 No44 (48.4%)59 (64.8%)17 (72.7%)120 (58.3%)0.030
 Yes47 (51.6%)32 (35.2%)6 (27.3%)85 (41.7%)
Lung metastasis
 No54 (59.3%)58 (63.7%)14 (59.1%)126 (61.3%)0.820
 Yes37 (40.7%)33 (36.3%)9 (40.9%)79 (38.7%)
Malignant effusion
 No64 (70.3%)55 (60.4%)9 (36.4%)128 (62.3%)0.014
 Yes27 (29.7%)36 (39.6%)14 (63.6%)77 (37.7%)
Brain metastasis
 No56 (61.5%)63 (69.2%)20 (86.4%)139 (67.6%)0.092
 Yes35 (38.5%)28 (30.8%)3 (13.6%)66 (32.4%)
Liver metastasis
 No80 (87.9%)87 (95.6%)22 (95.5%)189 (92.2%)0.199
 Yes11 (12.1%)4 (4.4%)1 (4.5%)16 (7.8%)
Other metastasis
 No80 (87.9%)83 (91.2%)19 (81.8%)182 (88.7%)0.329
 Yes11 (12.1%)8 (8.8%)4 (18.2%)23 (11.3%)
Initial TKI
 Gefitinib36 (39.6%)44 (48.4%)16 (69.6%)96 (46.8%)0.118
 Erlotinib16 (17.6%)18 (19.8%)3 (13.0%)37 (18.0%)
 Afatinib39 (42.8%)29 (31.8%)4 (17.4%)72 (35.2%)
Adverse Event
 No27 (29.7%)21 (23.1%)8 (31.8%)56 (27%)0.522
 Yes64 (70.3%)70 (76.9%)15 (68.2%)149 (73%)
Status
 Living34 (33.7%)20 (19.3%)7 (23.8%)61 (26.2%)0.128
 Dead57 (66.3%)71 (80.7%)16 (76.2%)144 (73.8%)

Abbreviations: ECOG, Eastern Cooperative Oncology Group; TKI, tyrosine kinase inhibitor.

Figure 2

Kaplan–Meier plots in months of patients 65 years or older with EGFR-mutated Stage IIIB–IV NSCLC and receiving first-line EGFR-TKI treatment. Patients were grouped according to age group—65–75 (green, N = 91), 75–85 (blue, N = 91) and >85 (red, N = 23). (A) PFS probability between different age groups. (B) OS probability between different age groups.

Table 4

Subgroup Analysis of Patients Receiving Different TKI Treatments

CharacteristicsTKI TreatmentP-value
Gefitinib (n = 95)Erlotinib (n = 38)Afatinib (n = 72)All (n = 205)
Age (years), median (range)78 (65–95)77 (65–91)75 (65–90)77 (65–95)0.056
Sex
 Female59 (62.1%)23 (60.5%)40 (55.6%)122 (59.5%)0.688
 Male36 (37.9%)15 (39.5%)32 (44.4%)83 (40.5%)
Age (years)
 65–7536 (37.9%)16 (42.1%)39 (54.2%)91 (44.6%)0.118
 75–8544 (46.3%)18 (47.4%)29 (40.3%)91 (44.6%)
 ≥8515 (15.8%)4 (10.5%)4 (5.6%)23 (10.8%)
Initial Stage
 Stage IIIB or IIIC2 (2.1%)3 (7.9%)4 (5.6%)9 (4.4%)0.231
 Stage IV93 (97.9%)35 (92.1%)68 (94.4%)196 (95.6%)
ECOG Performance Status
 0–145 (47.4%)20 (52.6%)49 (68.1%)114 (55.6%)0.026
 2–450 (52.6%)18 (47.4%)23 (31.9%)91 (44.4%)
Smoking status
 Nonsmoker68 (71.6%)28 (73.7%)48 (66.7%)144 (70.2%)0.628
 Current smoker15 (15.8%)4 (10.5%)9 (12.5%)28 (13.7%)
 Ex-smoker12 (12.6%)6 (15.8%)15 (20.8%)33 (16.1%)
Comorbidities
 035 (36.8%)11 (28.9%)29 (40.3%)75 (36.6%)0.780
 151 (53.7%)24 (63.2%)39 (54.2%)114 (55.6%)
 27 (7.4%)2 (5.3%)2 (2.8%)11 (5.4%)
 32 (2.1%)1 (2.6%)2 (2.8%)5 (2.4%)
Metastatic Sites
 <361 (64.2%)25 (65.8%)47 (65.3%)133 (64.9%)0.981
 ≥334 (35.8%)13 (34.2%)25 (34.7%)72 (35.1%)
Brain metastasis
 No67 (70.5%)20 (52.6%)51 (70.8%)138 (67.3%)0.102
 Yes28 (29.5%)18 (47.4%)21 (29.2%)67 (32.7%)
Bone metastasis
 No53 (55.8%)19 (50%)47 (65.3%)119 (58%)0.252
 Yes42 (44.2%)19 (50%)25 (34.7%)86 (42%)
Malignant effusion
 No59 (62.1%)25 (65.8%)43 (59.7%)127 (62%)0.823
 Yes36 (37.9%)13 (34.2%)29 (40.3%)78 (38%)
Lung metastasis
 No55 (57.9%)22 (57.9%)48 (66.7%)125 (61%)0.470
 Yes40 (42.1%)16 (42.1%)24 (33.3%)80 (39%)
Liver metastasis
 No87 (91.6%)30 (78.9%)71 (98.6%)188 (91.7%)0.002
 Yes8 (8.4%)8 (21.1%)1 (1.4%)17 (8.3%)
Other metastasis
 No82 (86.3%)32 (84.2%)67 (93.1%)181 (88.3%)0.279
 Yes13 (13.7%)6 (15.8%)5 (6.9%)24 (11.7%)
Adverse Event
 No29 (30.5%)10 (26.3%)16 (22.2%)55 (26.8%)0.486
 Yes66 (69.5%)28 (73.7%)56 (77.8%)150 (73.2%)
Status
 Living23 (24.2%)9 (23.7%)27 (37.5%)59 (28.8%)0.029
 Dead72 (75.8%)29 (76.3%)45 (62.5%)146 (71.2%)

Abbreviations: TKI, tyrosine kinase inhibitor; ECOG, Eastern Cooperative Oncology Group.

Figure 3

Kaplan–Meier plots in months of patients 65 years or older with EGFR-mutated Stage IIIB–IV NSCLC and receiving first-line EGFR-TKI treatment. Patients were grouped according to TKI drug treatment—afatinib (red, N = 72), erlotinib (green, N = 38) and gefitinib (blue, N = 95). (A) PFS probability between different TKI drug treatments. (B) OS probability between different TKI drug treatments.

Subgroup Analysis of Different ECOG PS Groups Abbreviations: ECOG, Eastern Cooperative Oncology Group; PS, performance status; TKI, tyrosine kinase inhibitor. Subgroup Analysis of Different Age Groups Abbreviations: ECOG, Eastern Cooperative Oncology Group; TKI, tyrosine kinase inhibitor. Subgroup Analysis of Patients Receiving Different TKI Treatments Abbreviations: TKI, tyrosine kinase inhibitor; ECOG, Eastern Cooperative Oncology Group. Kaplan–Meier plots in months of patients 65 years or older with EGFR-mutated Stage IIIB–IV NSCLC and receiving first-line EGFR-TKI treatment. Patients were grouped according to ECOG PS—0–1 (red, N = 114) and 2–4 (blue, N = 91). The number of patients at risk at 0, 20, 40 and 60 months for each group are indicated in the table below the Kaplan–Meier plot. (A) PFS probability between different ECOG groups. (B) OS probability between different ECOG groups. Kaplan–Meier plots in months of patients 65 years or older with EGFR-mutated Stage IIIB–IV NSCLC and receiving first-line EGFR-TKI treatment. Patients were grouped according to age group—65–75 (green, N = 91), 75–85 (blue, N = 91) and >85 (red, N = 23). (A) PFS probability between different age groups. (B) OS probability between different age groups. Kaplan–Meier plots in months of patients 65 years or older with EGFR-mutated Stage IIIB–IV NSCLC and receiving first-line EGFR-TKI treatment. Patients were grouped according to TKI drug treatment—afatinib (red, N = 72), erlotinib (green, N = 38) and gefitinib (blue, N = 95). (A) PFS probability between different TKI drug treatments. (B) OS probability between different TKI drug treatments. In the subgroup survival analysis, significant differences were identified between patients with and without brain metastases at diagnosis, with PFS of 12.2 and 16.2 months (p = 0.033) and OS of 17.7 and 26.7 months (p = 0.0023), respectively (Figure 4). Figure 5 shows that patients with ≥3 metastatic sites, compared with those with <3 metastatic sites, were associated with shorter PFS (13.2 versus 17.1 months, p = 0.027) and OS (17.7 versus 27.8 months, p = 0.008). There were no significant differences of PFS (p= 0.067) or OS (p = 0.13) between patients with or without liver metastases ().
Figure 4

Kaplan–Meier plots in months of patients 65 years or older with EGFR-mutated Stage IIIB–IV NSCLC and receiving first-line EGFR-TKI treatment. Patients were grouped according to the absence or presence of brain metastases—absence (red, N = 138) or presence (blue, N = 67). The number of patients at risk at 0, 20, 40 and 60 months for each group are indicated in the table below the Kaplan–Meier plot. (A) PFS probability between with or without brain metastasis. (B) OS probability with or without brain metastasis.

Figure 5

Kaplan–Meier plots of in months of patients 65 years or older with EGFR-mutated Stage IIIB–IV NSCLC and receiving first-line EGFR-TKI treatment. Patients were grouped according to the number of metastatic sites—<3 (red, N = 133) or ≥3 (blue, N = 72). The number of patients at risk at 0, 20, 40 and 60 months for each group are indicated in the table below the Kaplan–Meier plot. (A) PFS probability between patient groups with <3 or ≥3 metastatic sites. (B) OS probability between patient groups with <3 or ≥3 metastatic sites.

Kaplan–Meier plots in months of patients 65 years or older with EGFR-mutated Stage IIIB–IV NSCLC and receiving first-line EGFR-TKI treatment. Patients were grouped according to the absence or presence of brain metastases—absence (red, N = 138) or presence (blue, N = 67). The number of patients at risk at 0, 20, 40 and 60 months for each group are indicated in the table below the Kaplan–Meier plot. (A) PFS probability between with or without brain metastasis. (B) OS probability with or without brain metastasis. Kaplan–Meier plots of in months of patients 65 years or older with EGFR-mutated Stage IIIB–IV NSCLC and receiving first-line EGFR-TKI treatment. Patients were grouped according to the number of metastatic sites—<3 (red, N = 133) or ≥3 (blue, N = 72). The number of patients at risk at 0, 20, 40 and 60 months for each group are indicated in the table below the Kaplan–Meier plot. (A) PFS probability between patient groups with <3 or ≥3 metastatic sites. (B) OS probability between patient groups with <3 or ≥3 metastatic sites. In the multivariable survival analysis, a good ECOG PS of 0–1, afatinib as the first-line treatment, and <3 metastatic sites at diagnosis were significantly associated with longer PFS. Relatively younger age, a good ECOG PS, <3 metastatic sites, and no brain metastasis at diagnosis were associated with better OS (Figure 6).
Figure 6

Forest plot of the multivariable survival analyses of patients 65 years or older with EGFR-mutated Stage IIIB–IV NSCLC and receiving first-line EGFR-TKI treatment. (A) PFS in different patient groups. (B) OS in different patient groups.

Forest plot of the multivariable survival analyses of patients 65 years or older with EGFR-mutated Stage IIIB–IV NSCLC and receiving first-line EGFR-TKI treatment. (A) PFS in different patient groups. (B) OS in different patient groups.

Discussion

In this multicenter, retrospective study, we examined the efficacy of first-line EGFR-TKI treatment for older (≥65 years) patients with poor ECOG PS in Taiwan. Our study indicated that patients with poor ECOG PS tended to be older, were more likely to present with brain metastases and comorbidities, and were more likely to receive first-generation TKIs compared to those with good ECOG PS. A good PS and <3 metastatic sites in this population were associated with better PFS and OS. Use of afatinib as the first-line treatment rather than gefitinib or erlotinib were associated with longer PFS, whereas a younger age in the elderly and no brain metastasis at diagnosis were associated with longer OS. Compared with conventional chemotherapy, EGFR-TKI therapy was associated with a higher response rate, better symptom control, and quality of life improvements among patients with advanced EGFR-mutated NSCLC.14–17 However, older patients are frequently undertreated due to the expectation these will present with poor tolerance for treatment.18 The use of standard treatment protocols, including chemotherapy and targeted therapy, is recommended for patients with good PS, regardless of age.19 Previous studies have demonstrated that efficacy and tolerance of EGFR-TKI were comparable between older patients and the general population among those with EGFR-mutated NSCLC.10 Some studies have indicated that older patients exhibited higher EGFR-TKI response rates and longer OS than the general population.20,21 The current study using a real-world setting, found the median PFS and OS among older patients were 13.6 and 26.0 months, which was comparable to previously reported studies in the general population.22 Nevertheless, the relatively older patients still tended to have poorer PS and were associated with worse OS. Although conventional chemotherapy is not recommended for lung cancer patients with poor PS, modern anti-cancer treatments, including immunotherapies and targeted therapies, are relatively convenient and less toxic than chemotherapy. Although those treatments had been used in the clinical setting for cancer patients with poor PS, limited data are available regarding the treatment efficacy in NSCLC patients with poor PS. A recent cohort study and a previous meta-analysis indicated that among patients treated with immunotherapy, ECOG PS ≥ 2 was associated with a poor prognosis.23,24 After multivariate analysis, our study showed that PS remained an important prognostic factor for PFS and OS among older patients treated with EGFR-TKIs. More metastatic sites indicate a higher tumor burden and may reflect the aggressiveness and rapid growth of cancer cells, which might be associated with a poor prognosis. Oh et al reported that tumor burden and the number of metastatic sites are predictors of poor outcomes in patients with NSCLC.25 A similar study, reported by Park et al, also indicated that the number of metastatic sites serves as a predictive factor for poor response and survival among patients with EGFR-mutated NSCLC who receive gefitinib treatment.26 These findings were in concordance to our present study, which showed that ≥3 metastatic sites at diagnosis was a strong prognostic factor for PFS and OS among older patients with NSCLC. Approximately 20% of newly diagnosed patients with advanced NSCLC have brain metastases, which are often associated with more neurological symptoms, poor quality of life, and worse prognosis.27 Patients with NSCLC harboring EGFR mutations are more likely to suffer from brain metastases compared with those without EGFR mutations.28 Although EGFR-TKIs demonstrate favorable intracranial responses in those patients with brain metastases, brain metastases have continued to be associated with a poor OS in previous studies.25,29,30 The subgroup analyses in the current study similarly indicated that the presence of brain metastases were marginally associated with shorter PFS and significantly associated with poor OS after multivariate analysis. Previous studies indicated liver metastasis was a significant poor prognostic factor in the EGFR-mutant patients, which was not observed in the current study, probably due to different population groups or relatively limited case numbers in this study.31,32 Another finding of current study indicated patients first-line treatment with afatinib, a second-generation EGFR-TKI, resulted in longer PFS as compared to those treated with erlotinib and gefitinib. Previous large studies demonstrated that afatinib significantly prolonged PFS compared to conventional chemotherapy (LUX-Lung 3 and LUX-Lung 6) or gefitinib (LUX-Lung 7), independent of age.10 Real-world studies also exhibited that afatinib has similar or even better efficacy compared with first-generation EGFR-TKIs across a broad range of patients in diverse clinical practice settings.30,33–35 One of these real-world data, similar to present study, implied afatinib was more likely to be used for younger patients in a better condition than other first-generation TKI inhibitors and observed a longer PFS and possible OS.34 In the current study, after adjusting for potential confounding factors such as age and ECOG-PS, first-line treatment with afatinib was still independently associated with a longer PFS. Other EGFR-TKIs like osimertinib, a third-generation EGFR-TKI, was currently a preferred first-line treatment for advanced EGFR-mutated NSCLC patients.19 Treatment with osimertinib showed significant improvements in PFS and OS compared with gefitinib or erlotinib treatment, with a lower rate of serious adverse events.36 A retrospective study of 30 NSCLC patients with EGFR T790M mutation and poor PS of 2–4, demonstrated comparable efficacy and acceptable safety as previously studies.37 However, osimertinib may not be available or affordable in certain countries. Afatinib is likely the best alternative option as a first-line treatment in patients with limited access to osimertinib, to achieve the best PFS improvements. The limitation of our study was that the use of a real-world, population-based setting resulted in imbalances when the study population was examined by different patient characteristics. For example, most of the older patients and patients with poor PS included in the current study were treated with gefitinib or erlotinib. In addition, the sample size was relatively small, which may also introduce bias and limit the possibility for general implications. Although the population of poor PS patients included in this study was relatively larger than those of previously reported studies, these findings require validation in future prospective, large-scale studies.

Conclusion

Our findings suggested that among older patients (≥65 years), those with EGFR-mutated and poor ECOG PS who receive EGFR-TKI treatment tended to be older, with a higher proportion of brain metastases, more comorbidities, and more likely to be treated with first-generation TKIs. A good PS of 0–1, <3 metastatic sites, and the use of afatinib as first-line treatment rather than gefitinib or erlotinib, were associated with longer PFS among older patients. Relatively younger age, good PS, <3 metastatic sites, and no brain metastasis at diagnosis were associated with better OS. These results may provide insights for the improved clinical care of older patients treated with EGFR-TKIs.
  37 in total

1.  Clinical management of older people with non-small cell lung cancer in England.

Authors:  Paul Beckett; Matthew Callister; Laila J Tata; Richard Harrison; Michael D Peake; Roz Stanley; Ian Woolhouse; Mark Slade; Richard B Hubbard
Journal:  Thorax       Date:  2012-07-06       Impact factor: 9.139

Review 2.  Epidermal growth factor receptor tyrosine kinase inhibitors for the treatment of central nervous system metastases from non-small cell lung cancer: the present and the future.

Authors:  Claudia Proto; Martina Imbimbo; Rosaria Gallucci; Angela Brissa; Diego Signorelli; Milena Vitali; Marianna Macerelli; Giulia Corrao; Monica Ganzinelli; Francesca Gabriella Greco; Marina Chiara Garassino; Giuseppe Lo Russo
Journal:  Transl Lung Cancer Res       Date:  2016-12

3.  Symptom and Quality of Life Improvement in LUX-Lung 6: An Open-Label Phase III Study of Afatinib Versus Cisplatin/Gemcitabine in Asian Patients With EGFR Mutation-Positive Advanced Non-small-cell Lung Cancer.

Authors:  Sarayut L Geater; Chong-Rui Xu; Caicun Zhou; Cheng-Ping Hu; Jifeng Feng; Shun Lu; Yunchao Huang; Wei Li; Mei Hou; Jian Hua Shi; Kye Young Lee; Michael Palmer; Yang Shi; Juliane Lungershausen; Yi-Long Wu
Journal:  J Thorac Oncol       Date:  2015-06       Impact factor: 15.609

4.  Afatinib as First-line Treatment of Older Patients With EGFR Mutation-Positive Non-Small-Cell Lung Cancer: Subgroup Analyses of the LUX-Lung 3, LUX-Lung 6, and LUX-Lung 7 Trials.

Authors:  Yi-Long Wu; Lecia V Sequist; Eng-Huat Tan; Sarayut L Geater; Sergey Orlov; Li Zhang; Ki Hyeong Lee; Chun-Ming Tsai; Terufumi Kato; Carlos H Barrios; Martin Schuler; Vera Hirsh; Nobuyuki Yamamoto; Kenneth O'Byrne; Michael Boyer; Tony Mok; Barbara Peil; Angela Märten; James Chih-Hsin Yang; Luis Paz-Ares; Keunchil Park
Journal:  Clin Lung Cancer       Date:  2018-03-17       Impact factor: 4.785

5.  Health-related quality-of-life in a randomized phase III first-line study of gefitinib versus carboplatin/paclitaxel in clinically selected patients from Asia with advanced NSCLC (IPASS).

Authors:  Sumitra Thongprasert; Emma Duffield; Nagahiro Saijo; Yi-Long Wu; James Chih-Hsin Yang; Da-Tong Chu; Meilin Liao; Yuh-Min Chen; Han-Pin Kuo; Shunichi Negoro; Kwok Chi Lam; Alison Armour; Patrick Magill; Masahiro Fukuoka
Journal:  J Thorac Oncol       Date:  2011-11       Impact factor: 15.609

6.  Liver metastasis predicts poorer prognosis in stage IV lung adenocarcinoma patients receiving first-line gefitinib.

Authors:  Kuan-Li Wu; Ming-Ju Tsai; Chih-Jen Yang; Wei-An Chang; Jen-Yu Hung; Chun-Ju Yen; Chi-Hsiang Shen; Tzu-Yu Kuo; Jui-Ying Lee; Shah-Hwa Chou; Ta-Chih Liu; Inn-Wen Chong; Ming-Shyan Huang
Journal:  Lung Cancer       Date:  2015-02-23       Impact factor: 5.705

7.  First-line gefitinib in patients aged 75 or older with advanced non-small cell lung cancer harboring epidermal growth factor receptor mutations: NEJ 003 study.

Authors:  Makoto Maemondo; Yuji Minegishi; Akira Inoue; Kunihiko Kobayashi; Masao Harada; Shoji Okinaga; Naoto Morikawa; Satoshi Oizumi; Tomoaki Tanaka; Hiroshi Isobe; Shoji Kudoh; Koichi Hagiwara; Toshihiro Nukiwa; Akihiko Gemma; Akihiko Gemmah
Journal:  J Thorac Oncol       Date:  2012-09       Impact factor: 15.609

8.  Number of metastatic sites is a strong predictor of survival in patients with nonsmall cell lung cancer with or without brain metastases.

Authors:  Yun Oh; Sarah Taylor; Benjamin Nebiyou Bekele; J Matthew Debnam; Pamela K Allen; Dima Suki; Raymond Sawaya; Ritsuko Komaki; David J Stewart; Daniel D Karp
Journal:  Cancer       Date:  2009-07-01       Impact factor: 6.860

9.  Prevalence of poor performance status in lung cancer patients: implications for research.

Authors:  Rogerio C Lilenbaum; John Cashy; Thomas A Hensing; Susan Young; David Cella
Journal:  J Thorac Oncol       Date:  2008-02       Impact factor: 15.609

10.  Osimertinib for patients with EGFR T790M mutation-positive non-small-cell lung cancer and a poor performance status.

Authors:  Kazuhisa Nakashima; Madoka Kimura; Hiroaki Akamatsu; Haruko Daga; Hisao Imai; Tetsuhiko Taira; Ryo Ko; Yasushi Hisamatsu; Kazumi Nishino; Takeya Sugimoto; Yosuke Miyashita; Toshiaki Takahashi
Journal:  Jpn J Clin Oncol       Date:  2019-07-01       Impact factor: 3.019

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  1 in total

1.  Capmatinib in MET Exon 14 Skipping Mutation-Positive Lung Adenocarcinoma with Extensive Central Nervous System Metastasis.

Authors:  Tae Woo Kim; Kyung Mi Lee; Seung Hyeun Lee
Journal:  Onco Targets Ther       Date:  2022-08-31       Impact factor: 4.345

  1 in total

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