Literature DB >> 30032006

Efficacy and Safety of Radiotherapy Plus EGFR-TKIs in NSCLC Patients with Brain Metastases: A Meta-Analysis of Published Data.

Xueyan Wang1, Ye Xu1, Weiqing Tang2, Lingxiang Liu3.   

Abstract

BACKGROUND: The role of radiotherapy (RT) combined with epidermal growth factor receptor tyrosine kinase inhibitors (EGFR-TKIs) in non-small cell lung cancer (NSCLC) patients with brain metastasis (BM) remains controversial. Therefore, we conducted a meta-analysis to comprehensively evaluate the efficacy and safety of RT plus EGFR-TKIs in those patients.
MATERIALS AND METHODS: Relevant literatures published between 2012 and 2017 were searched. Objective response rate(ORR), disease control rate (DCR), overall survival (OS), intracranial progression-free survival (I-PFS) and adverse events (AEs) were extracted. The combined hazard ratios (HRs) and relative risks (RRs) were calculated using random effects models.
RESULTS: Twenty-four studies (2810 patients) were included in the analysis. Overall, RT plus EGFR-TKIs had higher ORR (RR = 1.32, 95%CI: 1.13-1.55), DCR (RR = 1.12, 95%CI: 1.04-1.22), and longer OS (HR = 0.72, 95%CI: 0.59-0.89), I-PFS (HR = 0.64, 95%CI: 0.50-0.82) than monotherapy, although with higher overall AEs (20.2% vs 11.8%, RR = 1.34, 95% CI: 1.11-1.62). Furthermore, subgroup analyses found concurrent RT plus EGFR-TKIs could prolong OS (HR = 0.69, 95%CI: 0.55-0.86) and I-PFS (HR = 0.57, 95%CI: 0.44-0.75). Asian ethnicity and lung adenocarcinoma (LAC) patients predicted a more favorable prognosis (HR = 0.69,95%CI: 0.54-0.88, HR = 0.66, 95%CI: 0.53-0.83, respectively).
CONCLUSION: RT plus EGFR-TKIs had higher response rate, longer OS and I-PFS than monotherapy in NSCLC patients with BM. Asian LAC patients with EGFR mutation had a better prognosis with concurrent treatment. The AEs of RT plus EGFR-TKIs were tolerated.
Copyright © 2018 The Authors. Published by Elsevier Inc. All rights reserved.

Entities:  

Year:  2018        PMID: 30032006      PMCID: PMC6074003          DOI: 10.1016/j.tranon.2018.07.003

Source DB:  PubMed          Journal:  Transl Oncol        ISSN: 1936-5233            Impact factor:   4.243


Introduction

Lung cancer is the leading cause of cancer-related morbidity and mortality worldwide [1]. Approximately 80% of lung cancers were diagnosed non-small cell lung cancer (NSCLC). About 40% of NSCLC patients developed brain metastasis (BM) during the course of diseases, and 10%–25% of advanced NSCLC patients had BM at initial diagnosis, the risk even higher in those with epidermal growth factor receptor (EGFR) mutation [2], [3]. The median overall survival (OS) remains disappointing, less than 3 months, for untreated BM patients [4]. Whole-brain radiotherapy (WBRT) has long been a standard therapy for NSCLC with multiple BMs, providing symptom palliation and prolonging survival [5]. Moreover, stereotactic radiosurgery (SRS) has emerged as a principal alternative treatment for oligo-brain metastasis, allowing for precise tumor targeting with minimal invasive [6], [7]. Currently, EGFR tyrosine kinase inhibitors (TKIs) have been recognized as the first-line treatment for advanced NSCLC patients with EGFR mutation-positive [8], [9], [10]. Gefitinib and erlotinib can be able to cross the blood–brain barrier (BBB) after disrupted by brain radiotherapy (RT) [11], [12]. Particularly, RT and EGFR TKIs might have synergistic anti-tumor effect, with sustained clinical efficacy and favorable safety [13], [14], [15]. However, the role of RT combined with EGFR-TKIs for NSCLC patients with BM remains controversial [16], [17]. Therefore, we performed the meta-analysis to comprehensively evaluate the efficacy and safety of RT plus EGFR-TKIs in those patients.

Materials and Methods

Search Strategy and Selection Criteria

Relevant literatures, published between January 1, 2012 and November 28,2017 from PubMed, EMBASE, Web of Science, Google Scholar, and Cochrane Library were collected, using the terms “lung cancer”, “lung neoplasms”, “lung tumor”, “brain metastasis”, “brain neoplasms” “radiotherapy”, and “tyrosine kinase inhibitors”. To be included in the analysis, each study had to fulfill the following criteria: (1) histologically or cytologically confirmed NSCLC and had been diagnosed with one or more BMs by imaging modalities; (2) prospective or retrospective studies; (3) treatment-naive to the BMs; (4) combination therapy: RT (WBRT, SRS or three-dimensional conformal radiotherapy) combined with EGFR-TKIs; monotherapy: EGFR-TKIs alone or RT ± chemotherapy(CT); (5) only the latest and most complete article was included if duplicate studies were from the same population; (6) full text articles in English or Chinese language were available. Two reviewers independently determined study eligibility, disagreements were resolved by consensus.

Data Extraction

Two investigators conducted independently with the standardized forms according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) statement. The following data were collected from each study: first author, year of publication, source of patients, trial phase, histology, number of patients, median ages, number of female, intervention methods, outcomes and adverse events (AEs). In addition, the result was double-checked by a third reviewer and discrepancies were settled by group discussion.

Methodological Assessment

Two reviewers independently assessed the quality of the included literatures according to The Cochrane Handbook for Systematic Reviews (Version 5.1.0), based on the following criteria: (1) random sequence generation; (2) allocation concealment; (3) blinding of participants and personnel; (4) blinding of outcome assessment; (5) incomplete outcome data; (6) selective reporting; (7) other bias. We evaluated methodological quality as low, unclear or high risk of bias. Literatures were defined as low risk of bias (A) when all criteria were assessed as low risk; defined as moderate risk of bias (B) or high risk of bias (C) when one or more criteria were assessed as unclear risk or high risk, respectively.

Definition of Outcomes and Comparisons

The primary outcomes were the OS and I-PFS, then stratified by monotherapy, treatment sequence, ethnicity, histologic type and published year. The effective value of OS and I-PFS were determined by the combination of hazard ratio (HR) and 95% confidence interval (CI), if the CI included 1, then the HR was nonsignificant. For time-to-event data, if a direct report of HR and 95% CI was not possible, estimated value was derived indirectly from other presented data using the methods proposed by Tierney et al. [18]. Furthermore, objective response rate(ORR), disease control rate (DCR) and AEs were estimated by relative risk (RR). Response rate was calculated using the Response Evaluation Criteria in Solid Tumors. Complete remission: all tumor lesions completely disappeared and normalization of tumor marker level. Partial response: at least a 30% decrease in the sum of the longest diameters (LD) of target lesions. Progressive disease: at least a 20% increase in the smallest sum of the LD of target lesions or the appearance of one or more new lesions. Stabilized disease: neither sufficient shrinkage to qualify for partial response nor sufficient increase to qualify for progressive disease. AEs were evaluated according to the National Cancer Institute Common Terminology Criteria for Adverse Events.

Statistical analysis

χ2 and I2 tests were used to test the statistical heterogeneity of different studies, no heterogeneity was considered when I2< 50% and P > .1, then the fixed-effects model was used. Otherwise, the random effects model was applied (I2> 50% and P < .1). Z test was used to determine the significance of the pooled HR or RR, and P < .05 was considered statistically significant. Publication bias were assessed by Egger's regression and Begg's funnel plot [19], [20], whereas P < .1 was set as statistical significance. Sensitivity analysis was performed to determine the influence of each study regarding overall effective size. OS and I-PFS were calculated using effect variables; ORR, DCR and AEs (Grade ≥ 3) were analyzed using dichotomous variables. Statistical computations were all performed with STATA Version 12.0 (Stata Corporation LP, College Station, TX). All p values were two sided.

Results

Trial Flow

Literature search process was depicted in Figure 1. We identified 186 potentially relevant abstracts, and then 119 were excluded for the following reasons: 68 no target interventions; 27 single-arm studies; 13 reviews and 11 cases reports. Finally, after carefully reading the full-text, 24 studies were included in the analysis. The characteristics of these 24 studies were shown in Table 1.
Figure 1

Flow chart of studies included in the meta-analysis.

Table 1

Main characteristics of 24 included studies

First AuthorYearS of PtsTrial phaseHistologyNP (C/M)MA (C/M, years)Female (C/M)Combination therapyTreatment sequenceMonotherapyOutcomesAEsSQ
Zhu [21]2017CNRetLAC67/6656/5637/35WBRT/SRS + TKI (gefitinib/erlotinib)ConcurrentTKI (gefitinib/erlotinib)OS, I-PFSNB
Fan [13]2017CNRetLAC56/4156/5934/20WBRT/SRS + icotinibSequentialicotinibOS, I-PFS, ORR, DCRNB
Doherty [22]2017CARetNSCLC157/2759/65111/14WBRT/SRS+ TKIConcurrentTKIOS, I-PFS, ORR, ORRNB
Wang [23]2016CNRetNSCLC37/161NANAWBRT/SRS + TKISequentialWBRT/SRS + CTOS, I-PFS, ORR, DCRYB
Jiang [16]2016CNRetNSCLC51/116NA26/62WBRT+TKI (gefitinib/erlotinib/icotinib)ConcurrentTKIOS, I-PFS, DCR, ORRNB
Chen [24]2016CNRetLAC53/7952/5229/52WBRT+TKIConcurrentTKIOS, I-PFS, ORRNB
Byeon [25]2016KRRetNSCLC59/6260/6036/47WBRT/SRS + TKI (gefitinib/erlotinib)SequentialTKI (gefitinib/erlotinib)OS, DCR, ORR, I-PFS, ex-PFSNB
Xiang [26]2015CNRetNSCLC39/96NANAWBRT+TKIConcurrentWBRT±CTOSNC
Wang [27]2015CNProNSCLC37/3661/6212/133D-RT + gefitinibConcurrent3D-RT + VMPOS, ORR, DCRYB
Liu [28]2015CNRetNSCLC35/1546.3/47.518/8WBRT+TKIConcurrentWBRTORR, DCRNC
Liu [29]2015CNRetLAC62/3454/54NAWBRT/SRS + TKISequentialTKI ± CTOS, I-PFSNC
Kim [30]2015KRRetNSCLC18/1355/5612/10SRS + TKIConcurrentSRSOS, I-PFSYB
Lee [14]2014UKIINSCLC40/4061.3/62.225/29WBRT+ erlotinibConcurrentWBRT+ placeboOS, I-PFSYA
Cai [31]2014CNRetNSCLC104/17865/6542/60WBRT/SRS + TKIConcurrentWBRT/SRSOS, I-PFS, ex-PFSNB
Zhuang [15]2013CNIILAC23/3160/6313/18WBRT +erlotinibConcurrentWBRTOS, I-PFS, ex-PFS, ORR, DCRYB
Zhou [32]2013CNRetNSCLC36/22NA21/11WBRT+TKIConcurrentWBRT+CTORR, DCRYC
Sperduto [17]2013MCIIINSCLC41/4461/64NAWBRT/SRS + TKIConcurrentWBRT/SRSOSYB
Liu [33]2013CNProNSCLC52/5254/5123/25WBRT/SRS + TKIConcurrentWBRT/SRSORR, DCRYB
Fan [34]2013CNRetNSCLC75/13557/5732/36WBRT/SRS + TKIConcurrentRT ± CTOSNB
Cai [35]2013CNProNSCLC65/9266/6625/29WBRT+TKIConcurrentWBRTOS, I-PFS, ORR, DCRYB
Zeng [36]2012CNRetNSCLC45/4556/5224/26WBRT+ gefitinibConcurrentgefitinibOS, I-PFS, ORR, DCRYB
Pesce [37]2012SLIINSCLC16/4357/637/16WBRT+TKIConcurrentWBRT+TMZOSYB
Wu [38]2012CNProNSCLC35/18NANAWBRT+TKIConcurrentWBRTORR, DCRNB
Fu [39]2012CNRetNSCLC38/123NANAWBRT+TKIConcurrentWBRTORR, DCRYC

Abbreviations: NP, number of patients; MA, median ages; S of Pts, source of patients; C/M, combination therapy/monotherapy; AEs: adverse events; SQ: study quality; CN, China; KR, Korea; CA, Canada; UK, the United Kingdom; MC, Multicenter; SL, Switzerland; Ret: retrospective; Pro: prospective; NSCLS: non-small cell lung cancer; LAC, lung adenocarcinoma; TKI, tyrosine kinase inhibitor; WBRT, whole brain radiotherapy; SRS, stereotactic radiosurgery; 3D-CRT, three-dimensional conformal radiotherapy; TMZ, temozolomide; CT, chemotherapy; OS, overall survival; I-PFS, intracranial progression-free survival; ex-PFS, extracranial progression-free survival; ORR, objective response rate; DCR, disease control rate; N, no mention in the paper; Y, have mentioned in the paper; NA, not available.

Flow chart of studies included in the meta-analysis. Main characteristics of 24 included studies Abbreviations: NP, number of patients; MA, median ages; S of Pts, source of patients; C/M, combination therapy/monotherapy; AEs: adverse events; SQ: study quality; CN, China; KR, Korea; CA, Canada; UK, the United Kingdom; MC, Multicenter; SL, Switzerland; Ret: retrospective; Pro: prospective; NSCLS: non-small cell lung cancer; LAC, lung adenocarcinoma; TKI, tyrosine kinase inhibitor; WBRT, whole brain radiotherapy; SRS, stereotactic radiosurgery; 3D-CRT, three-dimensional conformal radiotherapy; TMZ, temozolomide; CT, chemotherapy; OS, overall survival; I-PFS, intracranial progression-free survival; ex-PFS, extracranial progression-free survival; ORR, objective response rate; DCR, disease control rate; N, no mention in the paper; Y, have mentioned in the paper; NA, not available.

Study Characteristics

Totally, 2810 patients with BM from 24 studies were enrolled in the analysis. RT plus EGFR-TKIs was performed in 1241 (44.2%) patients, while EGFR-TKIs alone in 470 (16.8%) patients, and RT ± CT in 1099 (39%) patients. In addition, 8 prospective studies [14], [15], [17], [27], [33], [35], [37], [38] (665 patients, 23.7%) including one phase III [17] and three phase II [14], [15], [37] clinical trials and 16 retrospective studies (2145 patients, 76.3%) were included. 20 studies (2402 patients, 85.5%) were conducted among Asian while 4 studies [14], [17], [22], [37] (408 patients, 14.5%) among non-Asian and 8 studies [13], [14], [16], [21], [24], [25], [29], [30] (857 patients,30.5%)were performed exclusively in patients with EGFR mutations. As for the intervention methods, 8 studies (1020 patient, 36.3%) were conducted with WBRT/SRS plus TKIs versus TKIs alone [13], [16], [21], [22], [24], [25], [29], [36], one study (73 patients, 2.6%) with 3D-CRT plus TKIs/VM-26 (teniposide) [27], the other 15 studies (1717 patients, 61.1%) with WBRT/SRS plus TKIs versus WBRT/SRS ± CT. As far as the treatment sequence, 4 study arms (214 patients, 7.6%) were provided with sequential treatment [13], [23], [25], [29], while 20 study arms (1027 patients, 36.5%) with concurrent treatment. The clinical characteristics of 2810 patients were summarized in Table A1 (Appendix).

Assessment of Study Quality

We evaluated the 24 studies using the seven aspects mentioned above, the risk of bias in this analysis were shown in Figure 2, while the details in Figure S1. Four studies were with random allocation [14], [17], [27], [37], while two with the methods discussion [17], [37]. One study concealed the allocation and blinding method [15]. All of the articles applied the intention-to-treat analysis. Finally, 1/24 studies received quality scores of A, while 18/24 of B and 5/24 of C, as shown in Table 1.
Figure 2

Quality and bias risk assessment of 24 included studies.

Figure S1

Risk of Bias Summary of 24 Included Studies.

Meta-Analysis of Objective Response Rate and Disease Control Rate

ORR and DCR were assessed respectively in 16 studies [13], [15], [16], [22], [23], [24], [25], [27], [28], [30], [32], [33], [35], [36], [37], [38], [39]. The overall ORR was 64.0% (13.0%–85.7%) in combination therapy and 40.5% (14.4–78.0%) in monotherapy; the overall DCR was 82.7% (27.9%–98.2%) in combination therapy and 71.9% (31.3–97.6%) in monotherapy. Random effects models were used to pool the RR in both ORR and DCR due to the statistical heterogeneity (I2 = 61.6%,P = .001; I2 = 65.9%, P = .000, respectively). As a result, combination therapy resulted in higher ORR (RR = 1.32, 95%CI: 1.13–1.55, P = .000) and DCR (RR = 1.12, 95%CI: 1.04–1.22, P = .005) than monotherapy. However, subgroup analysis of combination therapy versus TKIs alone showed no improvement in both ORR (RR = 1.25, 95%CI: 0.99–1.56, P = .057, Figure 3A) and DCR (RR = 1.10, 95%CI: 0.93–1.29, P = .254, Figure 3B) in NSCLC patients with BM.
Figure 3

Meta-analysis of RT plus EGFR-TKIs versus monotherapy in NSCLC patients with BM for ORR (A), DCR (B), OS (C), I-PFS (D) and subgroup-analysis of monotherapy.

Abbreviations: RT = radiotherapy; EGFR-TKIs = epidermal growth factor receptor tyrosine kinase inhibitors; NSCLC = non-small cell lung cancer; BM = brain metastasis; ORR = objective response rate; DCR = disease control rate; OS = overall survival; I-PFS = intracranial progression-free survival.

Quality and bias risk assessment of 24 included studies. Meta-analysis of RT plus EGFR-TKIs versus monotherapy in NSCLC patients with BM for ORR (A), DCR (B), OS (C), I-PFS (D) and subgroup-analysis of monotherapy. Abbreviations: RT = radiotherapy; EGFR-TKIs = epidermal growth factor receptor tyrosine kinase inhibitors; NSCLC = non-small cell lung cancer; BM = brain metastasis; ORR = objective response rate; DCR = disease control rate; OS = overall survival; I-PFS = intracranial progression-free survival.

Meta-Analysis of Overall Survival and Intracranial progression-free survival

The OS was evaluated in 19 studies (2384 patients, 85%) [13], [14], [15], [16], [17], [21], [22], [23], [24], [25], [26], [27], [29], [30], [31], [34], [35], [36], [37], and I-PFS was in 13 studies (1570 patients, 56%) [13], [14], [15], [16], [21], [22], [24], [25], [29], [30], [31], [35], [36] including the extracranial progression-free survival (ex-PFS) in three (457 patients, 16%) of them [15], [25], [31]. Random effects models were used to pool the HR in both OS and I-PFS based on the heterogeneity values (I2 = 67.1%, P = .000; I2 = 75.5%, P = .017, respectively). As a result, combination therapy resulted in longer OS (HR = 0.72, 95%CI: 0.59–0.89, P = .002, Figure S2 A) and I-PFS (HR =0.64, 95%CI: 0.50–0.82, P = .000) than monotherapy, except for ex-PFS (HR = 0.64, 95%CI: 0.35–1.15, P = .133)(Figure S2 B). However, the subgroup analysis of combination therapy versus TKIs alone showed no improvement in OS (HR = 0.78, 95%CI: 0.59–1.03, P = .08, Figure 3C), although prolonged I-PFS (HR = 0.67, 95%CI: 0.45–0.98, P = .04, Figure 3D) was found in NSCLC patients with BM. Moreover, when the analysis was limited to EGFR mutations, no improvement was found in combination therapy for OS (HR 0.85, 95%CI: 0.66–1.08, P = .125, Figure S3 A) and I-PFS (HR 0.79, 95%CI: 0.60–1.05, P = .100, Figure S3 B), regardless of concurrent vs. sequential treatment, RT plus TKI vs. TKI alone/RT ± CT.
Figure S2

Meta-Analysis of OS (A) and I-PFS, ex-PFS (B) in 24 Included Studies.

Abbreviations: OS = overall survival; I-PFS = intracranial progression-free survival; ex-PFS = extracranial progression-free survival.

Figure S3

Subgroup Analysis of OS (A) and I-PFS(B) in NSCLC patients with BM and EGFR mutations.

We also conducted multiple subgroup analyses, shown in Table 2. As for concurrent versus sequential treatment, we found that concurrent RT plus EGFR-TKIs could significantly prolong OS (HR = 0.69, 95%CI: 0.55–0.86, P = .001) and I-PFS (HR = 0.57, 95%CI: 0.44–0.75, P = .000) in NSCLC patients with BM. Moreover, sequential treatment could not improve both of them (HR = 0.99, 95% CI:0.75–1.32, P = .959; HR = 0.95, 95% CI: 0.62–1.46, P = .822, respectively) (Figure 4, A and B). Furthermore, better OS (HR = 0.66, 95%CI: 0.53–0.83, P = .000, Figure 4C) and I-PFS (HR = 0.67, 95%CI: 0.52–0.86, P = .001, Figure 4D) were found in Asian NSCLC patients with BM. Lung adenocarcinoma (LAC) patients with BM had favorable prognosis, with HR 0.69 (95%CI: 0.54–0.88, P = .003, Figure 4E) and 0.58 (95%CI: 0.43–0.76, P = .000, Figure 4F) for OS and I-PFS respectively. Recent published year (2015–2017) showed no improvement in OS (HR = 0.78, 95%CI: 0.60–1.02, P = .071, Figure S4 A), although prolonged I-PFS was found (HR = 0.68, 95%CI: 0.47–0.99, P = .000) (Figure S4 B).
Table 2

HR Value of OS and I-PFS in Subgroups Analyses According to Monotherapy, Treatment Sequence, Ethnicity, Histology and Published Year

NSNPHRs(95%CI)PHeterogeneity Test
χ2I2P
OS1923840.72(0.59,0.89)0.00254.7967.1%0.000
RT + TKI vs TKI810200.78(0.59,1.03)0.08012.3443.3%0.090
RT + TKI vs RT ± CT1113640.69(0.52, 0.92)0.01140.7375.4%0.000
Concurrent1118720.69(0.55, 0.86)0.00144.7868.7%0.000
Sequential45120.99 (0.75, 1.32)0.9593.000.0%0.392
Asian1519760.66(0.53, 0.83)0.00042.2966.9%0.000
Non-Asian44081.04 (0.79, 1.38)0.7692.950.0%0.399
LAC55120.69(0.54, 0.88)0.0034.102.4%0.393
NSCLC1418720.75(0.57, 0.97)0.03150.6974.4%0.000
2015–20171113670.78 (0.60, 1.02)0.07122.6855.9%0.012
2012–2014810170.66(0.48, 0.90)0.00926.8974.0%0.000
I-PFS1316240.64(0.50, 0.82)0.00041.9271.4%0.000
RT + TKI vs TKI810200.67(0.45, 0.98)0.04032.3378.4%0.000
RT + TKI vs RT ± CT56040.60(0.47, 0.77)0.0006.5538.9%0.162
Concurrent1013100.57(0.44, 0.75)0.00029.3269.3%0.001
Sequential33140.95(0.62, 1.46)0.8223.8748.3%0.145
Asian1113600.67(0.52, 0.86)0.00131.4068.2%0.001
Non-Asian22640.50 (0.16, 1.56)0.2359.1789.1%0.002
LAC55120.58(0.43, 0.76)0.0005.1422.1%0.274
NSCLC811120.68(0.48, 0.96)0.02835.4780.3%0.000
2015–201789610.68(0.47, 0.99)0.04431.2077.6%0.000
2012–201456630.59(0.45, 0.77)0.0007.2044.4%0.126

Abbreviations: NS, number of studies; NP, number of patients; HRs, hazard ratios; CI, confidence interval.

Figure 4

Subgroup analysis of OS and I-PFS in concurrent and sequential treatment (A and B), Asian and non-Asian (C and D), LAC and NSCLC (E and F), respectively.

Abbreviations: OS = overall survival; I-PFS = intracranial progression-free survival; LAC = Lung adenocarcinoma; NSCLC = non-small cell lung cancer.

Figure S4

Subgroup Analysis of OS (A) and I-PFS(B) for Published Year.

Abbreviations: OS = overall survival; I-PFS = intracranial progression-free survival.

As for prognostic factors from included patients, symptomatic brain metastases (P = .003), No of BMs >3 (P = .000), extracranial metastases (P = .000), brainstem metastases (P = .000), KPS <70 (P = .000), ECOG PS >1 (P = .000) were poor prognostic factors. However, female (P = .000), age< 65 years old (P = .000), never smoking (P = .000), EGFR exon 19 deletion (P = .001) were good prognostic factors (Figure S5).
Figure S5

Meta-Analysis of Characteristics of Included Patients.

Abbreviations: EGFR = epidermal growth factor receptor; KPS = Karnofsky performance score; ECOG = Eastern Cooperative Oncology Group; No of BM = number of brain metastases;

Adverse Events

The AEs were analyzed in 12 studies (1150 patients, 40.9%) [14], [15], [17], [23], [27], [30], [32], [33], [35], [36], [37], [39]. The overall incidence rate of AEs was higher in the combination therapy than monotherapy (20.2% vs 11.8%, RR = 1.34, 95% CI: 1.11–1.62; P = .003) with random effects models due to the heterogeneity (P = .000, I2 = 45.0%). The most common AEs in combination therapy versus monotherapy were rash (42.2% vs 6.7%, RR = 6.72, 95%CI: 1.62–27.86; P = .009), dry skin (15.9% vs 1.4%, RR = 8.16, 95%CI: 1.51–44.17; P = .015) and diarrhea (19.6% vs 7.8%, RR = 2.17, 95%CI: 1.13–4.15; P = .020), as shown in Table 3 and Figure S6.
Table 3

Stratified Analysis of the Reported Overall Adverse Events in the 12 Included Studies

Adverse eventNSNPIncidence rate(%)
RRs (95%CI)PHeterogeneity test
Treatment groupControl groupχ2I2P
headache647022(0–35.4)21.4(10–31.8)1.13(0.81,1.58)0.4694.790.0%0.481
fatigue557620.5(0–44.2)12.7(1.9–46.5)1.07(0.74,1.50)0.7211.950.0%0.744
dizziness324225.5(5.6–47.8)19.1(0–21.7)1.51(0.80,2.83)0.2002.7026.0%0.259
rash876342.2(20–44.4)6.7(0–44.4)6.71(1.62,27.86)0.00955.8487.5%0.000
dry skin213415.9(2.5–39.1)1.4(0–3.3)8.16(1.51,4.17)0.0150.540.0%0.462
mucositis21135.1(4.3–6.3)1.4(0–3.2)2.85(0.36, 2.29)0.3190.680.0%0.409
nausea & vomiting890326(0–51.9)17.3(0–48.1)1.14(0.90, 1.40)0.2664.650.0%0.703
anorexia213419(5–43.5)15.5(7.5–25.8)1.58 (0.50, 4.5)0.3971.6137.7%0.205
diarrhea881619.6(5–42.2)7.8(0–37.8)2.16 (1.13, 4.15)0.02012.2742.9%0.092
constipation213417.5(2.5–17.5)11.3(0–25.8)1.74 (0.83, 3.63)0.1410.120.0%0.725
pneumonitis33279.3(0–30.4)4.9(0–22.6)1.78 (0.32, 9.92)0.5103.7246.3%0.155
dyspnea213928.6(12,5–35)18.1(0–37.5)2.32(0.19,28.83)0.5123.0367.0%0.082
leucopenia/neutropenia554113.6(0–28.9)16.8(8.7–25)0.90 (0.50, 1.61)0.7225.7530.5%0.218
anemia55627.4(0–15.2)7.3(5–10.9)0.93 (0.35, 2.49)0.8896.1935.3%0.186
thrombocytopenia33255.2(0–8.7)9.3(6.5–14.7)0.70 (0.19, 2.5)0.5863.0434.2%0.219
myelosuppression221918.7(0–27.8)8.2(6.5–9.1)0.29 (0.08, 1.07)0.0642.3256.8%0.128
transaminases31713.4(0–5)9.4(7.7–10)2.15 (0.75, 6.17)0.1552.177.8%0.338
myopathy21118.1(5.3–11)11.9(8.3–31.8)0.43 (0.10, 1.83)0.2530.160.0%0.693
overall12115020.2(0–51.9)11.8(0–46.5)1.34 (1.10,1.62)0.003127.2645.0%0.000

Abbreviations: NS, number of studies; NP, number of patients; RRs, risk rates; CI, confidence interval.

Figure S6

Meta-Analysis of the Reported Overall Adverse Events(AEs) in the 12 Included Studies.

Test of Heterogeneity and Sensitivity Analysis

The heterogeneity was found with the systemic analysis of OS (I2 = 67.1%, χ2 = 54.79, P = .000) and I-PFS (I2 = 74.1%, χ2 = 41.92, P = .000). More importantly, no heterogeneity was detected in the subgroup analysis of non-Asian and sequential treatment for OS. The statistical heterogeneity was reduced after the subgroup analyses for OS (RT + TKI vs TKI, Asian, LAC, published year 2015–2017) and I-PFS (RT + TKI vs RT ± CT, Asian, sequential treatment and published year 2012–2014) (Table 2). Therefore, the most important sources of heterogeneity were different ethnicity, treatment sequence and histologic types. HR Value of OS and I-PFS in Subgroups Analyses According to Monotherapy, Treatment Sequence, Ethnicity, Histology and Published Year Abbreviations: NS, number of studies; NP, number of patients; HRs, hazard ratios; CI, confidence interval. Subgroup analysis of OS and I-PFS in concurrent and sequential treatment (A and B), Asian and non-Asian (C and D), LAC and NSCLC (E and F), respectively. Abbreviations: OS = overall survival; I-PFS = intracranial progression-free survival; LAC = Lung adenocarcinoma; NSCLC = non-small cell lung cancer. Stratified Analysis of the Reported Overall Adverse Events in the 12 Included Studies Abbreviations: NS, number of studies; NP, number of patients; RRs, risk rates; CI, confidence interval. Furthermore, the results of sensitivity analysis regarding OS and I-PFS were relatively stable, and excluded each of the study did not influence the overall effective size. Thus, there were no potential and important bias factors associated with interventions (Figure S7).
Figure S7

Meta-Analysis of Sensitivity Analysis Regarding OS and I-PFS.

Abbreviations: OS = overall survival; I-PFS = intracranial progression-free survival.

Publication Bias

The Begg's funnel plot and Egger's regression test were applied for detecting publication bias in the meta-analysis. No funnel plot asymmetry was found for OS and I-PFS (Begg's test, P = .944, P = .428; Egger's test, P = .474, P = .631, respectively). Therefore, there was no evidence of significant publication bias in the analysis (Figure S8).
Figure S8

Meta-Analysis of Publication Bias Regarding OS and I-PFS.

Abbreviations: OS = overall survival; I-PFS = intracranial progression-free survival.

Discussion

BM is a common complication of lung cancer and associated with poor outcomes. Patients with driver mutations may have a higher incidence of BM due to the prolonged survival with targeting agents [40], [41]. RT, including WBRT and SRS, has long been recognized as a standard therapy in NSCLC patients with BM, even when the patients have asymptomatic or single-brain metastasis [42], [43], [44]. Moreover, EGFR-TKIs such as gefitinib and erlotinib, which have the possibility of crossing the BBB and competing with adenosine triphosphate, could enhance radiosensitization [45], [46]. Hence, RT combined with EGFR-TKIs seems to be promising strategy for NSCLC patients with BM. Previously, one meta-analysis [47] enrolled only eight publications, and another update [48] had issues involved in 1/15 studies. Therefore, we comprehensive analysis of 24 studies with different monotherapy, treatment sequence, ethnicity, histologic type and published year for both OS and I-PFS. Besides, the stratified analyses for overall AEs were also been performed. As a result, we present more precise update information about the efficacy and safety of RT plus EGFR-TKIs in NSCLC patients with BM. This meta-analysis showed that combination therapy produced higher ORR and DCR, with longer OS and I-PFS than monotherapy in NSCLC patients with BM. The common AEs of EGFR-TKIs which were tolerated, were rash, dry skin and diarrhea. As for subgroup analyses, we found that combination therapy versus TKIs alone showed no improvement in OS, ORR and DCR, although prolonged I-PFS was found. Thus, the increased efficacy of combination therapy was interpreted cautiously by the TKI therapy. Furthermore, concurrent RT plus EGFR-TKIs could prolong the OS and I-PFS while sequential treatment had no improvement. Then, it confirmed the synergistic effect of RT and EGFR-TKIs [3], [31], [46]. Additionally, a larger retrospective study had demonstrated that upfront RT, especially SRS, and followed by EGFR-TKIs could prolong OS in NSCLC patients with EGFR mutation and BM [49]. However, it needs to be confirmed by prospective studies. Likewise, Asian LAC patients with BM had an improvement for both OS and I-PFS, which may be ascribed to TKIs. As is known, Asian NSCLC patients had a higher EGFR mutation rate than other ethnicities, with 60% and 10%–15%, respectively [50], [51]. However, the discordant EGFR mutation rate between primary (0%) and brain metastatic tumors (32%) was found [52], [53]. Therefore, molecular mechanisms need to be studied with EGFR-TKIs in the process of BM. Certain limitations must be mentioned in the meta-analysis. Firstly, the 24 included studies did not have high methodological quality. Then, multiple subgroup analyses were performed to increase the reliability of our results. Secondly, several important information such as number of BMs, performance status, EGFR mutation, and extracranial disease control were not consistently reported. But no significant difference was found in each of the included studies. Thirdly, heterogeneity was found in this meta-analysis. Multiple subgroup analyses indicated that different ethnicity, treatment sequence and histologic types may be the major sources of heterogeneity. Last but not least, although the publication bias were not found in this analysis, English and Chinese articles only could not completely avoid language bias.

Conclusion

Our comprehensive analysis suggested that RT plus EGFR-TKIs resulted in higher response rate, with longer OS and I-PFS than monotherapy in NSCLC patients with BM. Asian LAC patients with EGFR mutation will have a better prognosis with concurrent treatment. The common AEs of EGFR-TKIs were rash, dry skin and diarrhea. Nonetheless, more high quality and large-scale clinical trials are necessary to confirm the efficacy and safety of RT plus EGFR-TKIs in NSCLC patients with BM. The following are the supplementary data related to this article.

Table A1

Characteristics of 2810 Included Patients. Abbreviations: KPS = Karnofsky performance score; ECOG = Eastern Cooperative Oncology Group; No of BM = number of brain metastases; EGFR = epidermal growth factor receptor. Risk of Bias Summary of 24 Included Studies. Meta-Analysis of OS (A) and I-PFS, ex-PFS (B) in 24 Included Studies. Abbreviations: OS = overall survival; I-PFS = intracranial progression-free survival; ex-PFS = extracranial progression-free survival. Subgroup Analysis of OS (A) and I-PFS(B) in NSCLC patients with BM and EGFR mutations. Subgroup Analysis of OS (A) and I-PFS(B) for Published Year. Abbreviations: OS = overall survival; I-PFS = intracranial progression-free survival. Meta-Analysis of Characteristics of Included Patients. Abbreviations: EGFR = epidermal growth factor receptor; KPS = Karnofsky performance score; ECOG = Eastern Cooperative Oncology Group; No of BM = number of brain metastases; Meta-Analysis of the Reported Overall Adverse Events(AEs) in the 12 Included Studies. Meta-Analysis of Sensitivity Analysis Regarding OS and I-PFS. Abbreviations: OS = overall survival; I-PFS = intracranial progression-free survival. Meta-Analysis of Publication Bias Regarding OS and I-PFS. Abbreviations: OS = overall survival; I-PFS = intracranial progression-free survival.
  48 in total

1.  Brain metastases from lung cancer responding to erlotinib: the importance of EGFR mutation.

Authors:  R Porta; J M Sánchez-Torres; L Paz-Ares; B Massutí; N Reguart; C Mayo; P Lianes; C Queralt; V Guillem; P Salinas; S Catot; D Isla; A Pradas; A Gúrpide; J de Castro; E Polo; T Puig; M Tarón; R Colomer; R Rosell
Journal:  Eur Respir J       Date:  2010-07-01       Impact factor: 16.671

2.  Erlotinib accumulation in brain metastases from non-small cell lung cancer: visualization by positron emission tomography in a patient harboring a mutation in the epidermal growth factor receptor.

Authors:  Britta Weber; Michael Winterdahl; Ashfaque Memon; Boe S Sorensen; Susanne Keiding; Leif Sorensen; Ebba Nexo; Peter Meldgaard
Journal:  J Thorac Oncol       Date:  2011-07       Impact factor: 15.609

3.  Survival and neurologic outcomes in a randomized trial of motexafin gadolinium and whole-brain radiation therapy in brain metastases.

Authors:  Minesh P Mehta; Patrick Rodrigus; C H J Terhaard; Aroor Rao; John Suh; Wilson Roa; Luis Souhami; Andrea Bezjak; Mark Leibenhaut; Ritsuko Komaki; Christopher Schultz; Robert Timmerman; Walter Curran; Jennifer Smith; See-Chun Phan; Richard A Miller; Markus F Renschler
Journal:  J Clin Oncol       Date:  2003-07-01       Impact factor: 44.544

4.  First-line icotinib versus cisplatin/pemetrexed plus pemetrexed maintenance therapy for patients with advanced EGFR mutation-positive lung adenocarcinoma (CONVINCE): a phase 3, open-label, randomized study.

Authors:  Y K Shi; L Wang; B H Han; W Li; P Yu; Y P Liu; C M Ding; X Song; Z Y Ma; X L Ren; J F Feng; H L Zhang; G Y Chen; X H Han; N Wu; C Yao; Y Song; S C Zhang; W Song; X Q Liu; S J Zhao; Y C Lin; X Q Ye; K Li; Y Q Shu; L M Ding; F L Tan; Y Sun
Journal:  Ann Oncol       Date:  2017-10-01       Impact factor: 32.976

5.  Blood-brain barrier permeability of gefitinib in patients with brain metastases from non-small-cell lung cancer before and during whole brain radiation therapy.

Authors:  Yin-Duo Zeng; Hai Liao; Tao Qin; Li Zhang; Wei-Dong Wei; Jian-Zhong Liang; Fei Xu; Xiao-Xiao Dinglin; Shu-Xiang Ma; Li-Kun Chen
Journal:  Oncotarget       Date:  2015-04-10

6.  Clinical outcome of tyrosine kinase inhibitors alone or combined with radiotherapy for brain metastases from epidermal growth factor receptor (EGFR) mutant non small cell lung cancer (NSCLC).

Authors:  Qianqian Zhu; Yanan Sun; Yingying Cui; Ke Ye; Chengliang Yang; Daoke Yang; Jie Ma; Xiao Liu; Jinming Yu; Hong Ge
Journal:  Oncotarget       Date:  2017-02-21

7.  Practical methods for incorporating summary time-to-event data into meta-analysis.

Authors:  Jayne F Tierney; Lesley A Stewart; Davina Ghersi; Sarah Burdett; Matthew R Sydes
Journal:  Trials       Date:  2007-06-07       Impact factor: 2.279

8.  Phase II study of whole brain radiotherapy with or without erlotinib in patients with multiple brain metastases from lung adenocarcinoma.

Authors:  Hongqing Zhuang; Zhiyong Yuan; Jun Wang; Lujun Zhao; Qingsong Pang; Ping Wang
Journal:  Drug Des Devel Ther       Date:  2013-10-08       Impact factor: 4.162

9.  Randomized trial of erlotinib plus whole-brain radiotherapy for NSCLC patients with multiple brain metastases.

Authors:  Siow Ming Lee; Conrad R Lewanski; Nicholas Counsell; Christian Ottensmeier; Andrew Bates; Nirali Patel; Christina Wadsworth; Yenting Ngai; Allan Hackshaw; Corinne Faivre-Finn
Journal:  J Natl Cancer Inst       Date:  2014-07-16       Impact factor: 13.506

10.  A comparative analysis of EGFR mutation status in association with the efficacy of TKI in combination with WBRT/SRS/surgery plus chemotherapy in brain metastasis from non-small cell lung cancer.

Authors:  Ling Cai; Jian-fei Zhu; Xue-wen Zhang; Su-xia Lin; Xiao-dong Su; Peng Lin; Kai Chen; Lan-jun Zhang
Journal:  J Neurooncol       Date:  2014-08-07       Impact factor: 4.130

View more
  6 in total

1.  Role of perilesional edema and tumor volume in the prognosis of non-small cell lung cancer (NSCLC) undergoing radiosurgery (SRS) for brain metastases.

Authors:  Valerio Nardone; Sara Nanni; Pierpaolo Pastina; Claudia Vinciguerra; Alfonso Cerase; Pierpaolo Correale; Cesare Guida; Antonio Giordano; Paolo Tini; Alfonso Reginelli; Salvatore Cappabianca; Luigi Pirtoli
Journal:  Strahlenther Onkol       Date:  2019-05-23       Impact factor: 3.621

2.  Evaluating the Efficacy of EGFR-TKIs Combined With Radiotherapy in Advanced Lung Adenocarcinoma Patients With EGFR Mutation: A Retrospective Study.

Authors:  Yuxiang Wang; Wenjuan Yu; Jian Shi; Rong Qiu; Nan Jiang; Zhuofan Wang; Jie Yang; Zhongfei Jia; Meng Song
Journal:  Technol Cancer Res Treat       Date:  2022 Jan-Dec

Review 3.  Brain metastases: increasingly precision medicine-a narrative review.

Authors:  Michael Jerome McKay
Journal:  Ann Transl Med       Date:  2021-11

Review 4.  Ablative Radiotherapy as a Strategy to Overcome TKI Resistance in EGFR-Mutated NSCLC.

Authors:  Jennifer Novak; Ravi Salgia; Howard West; Miguel A Villalona-Calero; Sagus Sampath; Terence Williams; Victoria Villaflor; Erminia Massarelli; Ranjan Pathak; Marianna Koczywas; Brittney Chau; Arya Amini
Journal:  Cancers (Basel)       Date:  2022-08-18       Impact factor: 6.575

5.  Safety and efficacy of combining afatinib and whole-brain radiation therapy in treating brain metastases from EGFR-mutated NSCLC: a case report and literature review.

Authors:  Francesco Marampon; Alain J Gelibter; Pier Rodolfo Cicco; Martina Parisi; Maria Serpone; Francesca De Felice; Nadia Bulzonetti; Daniela Musio; Enrico Cortesi; Vincenzo Tombolini
Journal:  BJR Case Rep       Date:  2022-09-12

6.  Comparison of the benefits of celecoxib combined with anticancer therapy in advanced non-small cell lung cancer: A meta-analysis.

Authors:  Wei Zhang; Lilan Yi; Jie Shen; Hongman Zhang; Peng Luo; Jian Zhang
Journal:  J Cancer       Date:  2020-01-20       Impact factor: 4.207

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.