# Treatment with Antiangiogenic Drugs in Multiple Lines in Patients with Metastatic Colorectal Cancer: Meta-Analysis of Randomized Trials

Authors: R.-D. Hofheinz; U. Ronellenfitsch; S. Kubicka; A. Falcone; I. Burkholder; U. T. Hacker
Journal: Gastroenterology Research and Practice
 (2016)

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## Abstract

Background. In metastatic colorectal cancer (mCRC), continuing antiangiogenic drugs beyond progression might provide clinical benefit. We synthesized the available evidence in a meta-analysis.Patients and Methods. We conducted a meta-analysis of studies investigating the use of antiangiogenic drugs beyond progression. Eligible studies were randomized phase II/III trials. Primary endpoints were overall survival (OS) and progression-free survival (PFS). Secondary endpoints were the impact of continuing antiangiogenic drugs (i) in subgroups, (ii) in different types of compounds targeting the VEGF-axis (monoclonal antibodies versus tyrosine kinase inhibitors), and (iii) on remission rates and prevention of progression.Results. Eight studies (3,668 patients) were included. Continuing antiangiogenic treatment beyond progression significantly improved PFS (HR 0.64; 95%-CI, 0.55–0.75) and OS (HR 0.83; 95%-CI, 0.76–0.89). PFS was significantly improved in all subgroups with comparable HR. OS was improved in all subgroups stratified by age, gender, and ECOG status. The rate of patients achieving at least stable disease was improved with an OR of 2.25 (95%-CI, 1.41–3.58).Conclusions. This analysis shows a significant PFS and OS benefit as well as a benefit regarding disease stabilization when using antiangiogenic drugs beyond progression in mCRC. Future studies should focus on the optimal sequence of administering antiangiogenic drugs.


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## Body

## 1. Introduction

First-line chemotherapy for metastatic colorectal cancer (mCRC) is frequently combined with antiangiogenic agents, namely, bevacizumab, a monoclonal antibody targeting vascular endothelial growth factor (VEGF) A. This is based on the results of several studies demonstrating a benefit in progression-free survival [1–4]. However, a statistically significant prolongation of overall survival has only been observed in one of these first-line studies [2] raising the question how long the optimum duration of the use of antiangiogenic drugs should be.Prolonged duration of bevacizumab treatmentuntil definitive progression has been shown to improve progression-free survival in the phase 3 NO16966 trial which investigated the addition of bevacizumab to oxaliplatin-based first-line regimens [3]. Moreover, two observational studies showed a correlation between the use of bevacizumabbeyond progression and improved overall survival in advanced colorectal cancer [5, 6]. Preclinical data strongly suggest that continued antiangiogenic treatment beyond progression might provide antitumor efficacy even in further lines of treatment [7, 8].These observations led to the setup of clinical trials, which investigated the use of bevacizumab beyond progression in patients who had undergone a bevacizumab-based first-line treatment. Two trials (TML [9] and BEBYP [10, 11]), although using different inclusion criteria and endpoints, unequivocally demonstrated that the continued use of bevacizumab beyond progression improved PFS (TML and BEBYP) and overall survival (TML).More recently, randomized trials investigated other drugs with antiangiogenic properties in second and further lines of treatment in patients with metastatic colorectal cancer after pretreatment with bevacizumab-based regimens. For instance, the phase-3 VELOUR trial investigated the addition of aflibercept (a fusion protein trapping VEGF-A, VEGF-B, and placental growth factor [PlGF]) in combination with 5-fluorouracil and irinotecan (FOLFIRI) treatment in patients who had been pretreated with oxaliplatin-based regimens [12]. It was demonstrated that the addition of aflibercept improved progression-free and overall survival. Notably, this also held true for the patients with bevacizumab-pretreatment [13]. The concept of continued use of antiangiogenic drugs has also been demonstrated in the CORRECT study and the CONCUR study in which treatment with regorafenib—a multikinase inhibitor targeting among others VEGF-receptor 2—was superior to best supportive care in patients who had been pretreated with all active drugs including bevacizumab [14, 15]. Taken together, data from recent studies suggest that prolonged duration of antiangiogenic treatment might be associated with improved outcome in patients with metastatic colorectal cancer.In the present meta-analysis we sought to investigate the concept of treatment with antiangiogenic drugs in multiple lines beyond progression by analyzing aggregate data of randomized trials. Special emphasis was given on describing potential improvements of progression-free and overall survival related to specific subgroups including KRAS wildtype patients.


## 2. Patients and Methods

### 2.1. Objectives of Meta-Analysis and Eligibility Criteria

Primary objective of the present analysis was to investigate progression-free survival (PFS) and overall survival (OS) in patients with metastatic colorectal cancer who had been pretreated with an antiangiogenic treatment and underwent antiangiogenic treatment beyond progression.Secondary objectives were to assess the effects of the continued or repeated antiangiogenic treatment in subgroups (stratified by age, sex, ECOG status, and tumor KRAS mutational status) and in studies using anti-VEGF treatment (i.e., bevacizumab and aflibercept) versus tyrosine kinase inhibitors (TKI). Moreover, we investigated the response rates (i.e., the rate of evaluable patients achieving complete or partial remissions) and the rate of “tumor stabilization,” that is, the rate of evaluable patients without primary progression while receiving treatment.Only randomized phase II and III trials were included in the current meta-analysis. The inclusion of subgroups of randomized trials was allowed provided sufficient information was given in the trial reports. Only studies performed with the approval of an appropriate ethics committee and conducted in compliance with the declaration of Helsinki were included in this meta-analysis.Antiangiogenic treatment was defined as the use of drugs targeting at least one important angiogenic pathway, for instance, monoclonal antibodies targeting VEGF or VEGF-receptors, or (multi)TKI targeting angiogenic pathways.


### 2.2. Information Sources, Search Strategy, and Study Selection

Searches in PubMed and proceedings of international meetings were conducted to identify studies with information relevant for the current analysis.Eligible studies were phase II or III, randomized, controlled trials comparing (i) antiangiogenic drugs in combination with either active treatment (i.e., chemotherapy) or placebo with (ii) active treatment or placebo alone in patients who had previously been treated with antiangiogenic drugs for metastatic colorectal cancer. We used MeSH and full-text search terms for metastatic colorectal cancer and molecular targeted therapies, limiting our results to English language articles published in PubMed between January 1, 2007, and October 11, 2015. For PubMed, the search was ((((“molecular targeted therapy” [All Fields] OR (“molecular” [All Fields] AND “targeted” [All Fields]) AND (“therapy” [All Fields] OR “therapies” [All Fields]) AND (“colorectal neoplasms” [All Fields] OR “colorectal cancer” [All Fields]) OR (“colorectal” [All Fields] AND “cancer” [All Fields]) AND (“randomized” [All Fields] OR “randomized study” [All Fields]) AND English [lang])))).In addition to computerized search, references of retrieved papers were also screened for missing trials.To minimize publication bias we conducted a manual search of conference abstracts. For conferences, the search was “colorectal cancer” or “advanced colorectal cancer”, manually limited to abstracts on targeted therapies. The proceedings of the following meetings were examined for presented abstracts limiting the search to the years 2007–2016: (i) American Society of Clinical Oncology (ASCO) annual meetings; (ii) ASCO Gastrointestinal Cancer Symposium; (iii) European Society for Medical Oncology (EMSO) and European multidisciplinary cancer congress (ECCO) meetings; (iv) World Congress on Gastrointestinal Cancer. Two independent reviewers (RDH, UR, or UH) assessed title, keywords, and abstracts of retrieved studies. If studies met the inclusion criteria, they assessed full texts and mutually decided on inclusion.


### 2.3. Data Collection

Data extraction was conducted independently by three investigators (RDH, UR, and UH) in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidance [19]. For each study the following information was extracted: publication or presentation date, first author’s last name, sample size/sample size of subgroup of interest, primary endpoints, information pertaining to study design, PFS, and OS as well as response definition, regimens used, line of treatment, number of outcome events, data on PFS, OS, response to treatment, and data of subgroups of interest.


### 2.4. Synthesis of Results, Statistical Methods, and Analyses

The impact of antiangiogenic treatment on overall survival (OS) and progression-free survival (PFS) was measured in terms of the hazard ratio (HR). In all studies included in this meta-analysis, the HR was calculated as ratio of the active therapy divided by the hazard of the control group. Therefore, a HR lower than 1 indicates a benefit of the active treatment, whereas a HR higher than 1 indicates a higher risk of death or progression of the active treatment, respectively. The estimates of the HR were extracted directly from the publications and variance of the estimates was calculated from published confidence intervals of the HR. For the TML study, unstratified as well as stratified HRs were reported. As the unstratified analysis was the primary analysis of this study, the unstratified estimates were included in the meta-analysis.Heterogeneity of the individual HRs was tested using Cochran’sQ statistic [19]. If heterogeneity was not detected at the 10% significance level, the fixed effects model was used. If the test for heterogeneity was significant, the overall HR was calculated using the random effects model [20]. Heterogeneity was quantified by I
2 coefficient measuring the percentage of total variation across studies that is due to heterogeneity rather than by chance.Meta-analysis of the remission, progression, and rates of “tumor stabilization” was performed using the same statistical methods described above. In the remission analysis and in the progression analysis patients with unknown status were counted as progressive. Finally, in the “prevention of progression” (POP) analysis patients with unknown status were excluded.ML-estimates of the odds ratio (OR) were determined from reported contingency tables and the within-trial variance was computed from the inverse of the matrix of second derivatives of the log-likelihood (Woolf’s formula).


## 2.1. Objectives of Meta-Analysis and Eligibility Criteria

Primary objective of the present analysis was to investigate progression-free survival (PFS) and overall survival (OS) in patients with metastatic colorectal cancer who had been pretreated with an antiangiogenic treatment and underwent antiangiogenic treatment beyond progression.Secondary objectives were to assess the effects of the continued or repeated antiangiogenic treatment in subgroups (stratified by age, sex, ECOG status, and tumor KRAS mutational status) and in studies using anti-VEGF treatment (i.e., bevacizumab and aflibercept) versus tyrosine kinase inhibitors (TKI). Moreover, we investigated the response rates (i.e., the rate of evaluable patients achieving complete or partial remissions) and the rate of “tumor stabilization,” that is, the rate of evaluable patients without primary progression while receiving treatment.Only randomized phase II and III trials were included in the current meta-analysis. The inclusion of subgroups of randomized trials was allowed provided sufficient information was given in the trial reports. Only studies performed with the approval of an appropriate ethics committee and conducted in compliance with the declaration of Helsinki were included in this meta-analysis.Antiangiogenic treatment was defined as the use of drugs targeting at least one important angiogenic pathway, for instance, monoclonal antibodies targeting VEGF or VEGF-receptors, or (multi)TKI targeting angiogenic pathways.


## 2.2. Information Sources, Search Strategy, and Study Selection

Searches in PubMed and proceedings of international meetings were conducted to identify studies with information relevant for the current analysis.Eligible studies were phase II or III, randomized, controlled trials comparing (i) antiangiogenic drugs in combination with either active treatment (i.e., chemotherapy) or placebo with (ii) active treatment or placebo alone in patients who had previously been treated with antiangiogenic drugs for metastatic colorectal cancer. We used MeSH and full-text search terms for metastatic colorectal cancer and molecular targeted therapies, limiting our results to English language articles published in PubMed between January 1, 2007, and October 11, 2015. For PubMed, the search was ((((“molecular targeted therapy” [All Fields] OR (“molecular” [All Fields] AND “targeted” [All Fields]) AND (“therapy” [All Fields] OR “therapies” [All Fields]) AND (“colorectal neoplasms” [All Fields] OR “colorectal cancer” [All Fields]) OR (“colorectal” [All Fields] AND “cancer” [All Fields]) AND (“randomized” [All Fields] OR “randomized study” [All Fields]) AND English [lang])))).In addition to computerized search, references of retrieved papers were also screened for missing trials.To minimize publication bias we conducted a manual search of conference abstracts. For conferences, the search was “colorectal cancer” or “advanced colorectal cancer”, manually limited to abstracts on targeted therapies. The proceedings of the following meetings were examined for presented abstracts limiting the search to the years 2007–2016: (i) American Society of Clinical Oncology (ASCO) annual meetings; (ii) ASCO Gastrointestinal Cancer Symposium; (iii) European Society for Medical Oncology (EMSO) and European multidisciplinary cancer congress (ECCO) meetings; (iv) World Congress on Gastrointestinal Cancer. Two independent reviewers (RDH, UR, or UH) assessed title, keywords, and abstracts of retrieved studies. If studies met the inclusion criteria, they assessed full texts and mutually decided on inclusion.


## 2.3. Data Collection

Data extraction was conducted independently by three investigators (RDH, UR, and UH) in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidance [19]. For each study the following information was extracted: publication or presentation date, first author’s last name, sample size/sample size of subgroup of interest, primary endpoints, information pertaining to study design, PFS, and OS as well as response definition, regimens used, line of treatment, number of outcome events, data on PFS, OS, response to treatment, and data of subgroups of interest.


## 2.4. Synthesis of Results, Statistical Methods, and Analyses

The impact of antiangiogenic treatment on overall survival (OS) and progression-free survival (PFS) was measured in terms of the hazard ratio (HR). In all studies included in this meta-analysis, the HR was calculated as ratio of the active therapy divided by the hazard of the control group. Therefore, a HR lower than 1 indicates a benefit of the active treatment, whereas a HR higher than 1 indicates a higher risk of death or progression of the active treatment, respectively. The estimates of the HR were extracted directly from the publications and variance of the estimates was calculated from published confidence intervals of the HR. For the TML study, unstratified as well as stratified HRs were reported. As the unstratified analysis was the primary analysis of this study, the unstratified estimates were included in the meta-analysis.Heterogeneity of the individual HRs was tested using Cochran’sQ statistic [19]. If heterogeneity was not detected at the 10% significance level, the fixed effects model was used. If the test for heterogeneity was significant, the overall HR was calculated using the random effects model [20]. Heterogeneity was quantified by I
2 coefficient measuring the percentage of total variation across studies that is due to heterogeneity rather than by chance.Meta-analysis of the remission, progression, and rates of “tumor stabilization” was performed using the same statistical methods described above. In the remission analysis and in the progression analysis patients with unknown status were counted as progressive. Finally, in the “prevention of progression” (POP) analysis patients with unknown status were excluded.ML-estimates of the odds ratio (OR) were determined from reported contingency tables and the within-trial variance was computed from the inverse of the matrix of second derivatives of the log-likelihood (Woolf’s formula).


## 3. Results

### 3.1. Selected Trials

The Medline search was done on June 15, 2016. It resulted in 3,252 articles. Hand-searches of conference proceedings were conducted including all conferences until June 2016.Based on the criteria defined above the following eight studies were selected for inclusion into the current meta-analysis (PRISMA diagram; cf. Figure1): TML trial [9], BEBYP trial [10, 11], subgroup of VELOUR study [12], CORRECT trial [14], subgroup of AGITG CO.20 trial [16], a subgroup of patients treated within a randomized phase II trial (FOSCO) investigating the addition of sorafenib to second-line chemotherapy [17], subgroups of the CONCUR study [15], and the RAISE study [18].Figure 1
PRISMA diagram.Trial characteristics are depicted in Table1. All trials were evaluable for PFS and OS.Table 1
Overview of studies included in meta-analysis.
Study
First author/year
Investigational treatment
Control treatment
Primary endpoint
Number of patients (ITT)(active/control)
TML
Bennouna 2012 [9]
Chemotherapy (oxaliplatin or irinotecan based)plus bevacizumab
Chemotherapy (oxaliplatin or irinotecan based) alone
OS
819 (409/410)
CORRECT
Grothey 2013 [14]
Regorafenib
Placebo
OS
760 (505/255)
BEBYP
Masi 2013 [10]
Chemotherapy (FOLFIRI, mFOLFOX)plus bevacizumab
Chemotherapy (FOLFIRI, mFOLFOX) alone
PFS
184 (92/92)
VELOUR subgroup
Allegra 2012 [13]
FOLFIRI plus aflibercept
FOLFIRI
OS
373 (186/187)
AGITG subgroup
Siu 2013 [16]
Cetuximab plus brivanib
Cetuximab
OS
310 (152/158)
FOSCO
Hoehler 2013 [17]
FOLFOX/FOLFIRI plus sorafenib
FOLFOX/FOLFIRI plus placebo
PFS
69 (32/37)
RAISE
Tabernero 2015 [18]
FOLFIRI plus ramucirumab
FOLFIRI plus placebo
PFS
1072 (536/536)
CONCUR
Li 2015 [15]
Regorafenib
Placebo
OS
81Table2 shows the number of patients evaluable from respective trials for the determination of primary and secondary outcome parameters.Table 2
Overview of number of studies and patients available for primary and secondary analyses.
Progression-free survival
Overall survival
Primary endpoint
n
=
8 trials (n
=
3
,
688 pts)
n
=
8 trials (n
=
3
,
668 pts)
Secondary endpoint: PFS/OS subgroup analyses
Gender (male/female)
n = 4 trials (n = 3,017 pts)
n = 3 trials (n = 2,651 pts)
Age (cut-off 65 years)
n = 4 trials (n = 2,835 pts)
n = 3 trials (n = 2,651 pts)
ECOG status (0 versus ≥1)
n = 4 trials (n = 2,825 pts)
n = 3 trials (n = 2,641 pts)
KRAS status (WT/MUT)
n = 4 trials (n = 2,545 pts)
n = 3 trials (n = 2,417 pts)
Secondary endpoint: remission/progression analyses
Remission rate
n = 5 trials (n = 3,199 pts)
Progression rate
n = 4 trials (n = 2,826 pts)
Prevention of progression rate
n = 4 trials (n = 2,652 pts)


### 3.2. Combined Analysis: Primary Outcomes—Progression-Free and Overall Survival

The use of antiangiogenic drugs beyond progression improved progression-free survival and overall survival over control (i.e., best supportive care or active treatment alone). The hazard ratio for overall survival (n
=
3,668) was 0.83 (95%-CI, 0.76–0.89); (Figure 2). The test for heterogeneity was significant (p
=
0.010; I
2 = 40%). PFS was improved (n
=
3,668) with a HR of 0.64 (95%-CI, 0.55–0.75); test for heterogeneity: p
<
0.001; I
2
=
74
%; (Figure 3).Figure 2
Meta-analysis for overall survival. CI: confidence interval; HR: hazard ratio.Figure 3
Meta-analysis for progression-free survival. CI: Confidence interval; HR: hazard ratio.


### 3.3. Combined Analysis: Secondary Outcomes—Subgroup Analyses of Progression-Free and Overall Survival

The results of the subgroup analyses for PFS and OS according to sex, age, ECOG status, and KRAS status (WT versus MUT) are given in Table3 (PFS) and Table 4 (OS) and in Supplementary Figures S1–S8 in Supplementary Material available online at http://dx.doi.org/10.1155/2016/9189483. In all subgroup analyses (age, using a cut-off of 65 years, ECOG performance status, gender, and tumor KRAS mutational status) the use of antiangiogenic drugs beyond progression improved PFS with comparable hazard ratios in both dichotomized groups, respectively. Similarly, overall survival results are comparable for dichotomized subgroups regarding age and ECOG performance status. However, the benefit of using antiangiogenic drugs beyond progression regarding OS was weaker in the subgroup of women (n
=
1,047) with a HR of 0.81 (95%-CI, 0.70–0.94) and absent in patients bearing a tumor with KRAS mutation (n
=
1,260) with a HR of 0.89; 95%-CI, 0.78–1.02.Table 3
Results of subgroup analyses for progression-free survival.
Subgroup
n
HR
95% CI
Test of heterogeneity
Q-value
Test of heterogeneity
p value
I
2 coefficient
Age
<65 years
1670
0.62
0.47–0.82
Q
=
27.7950
p
<
0.001
89.21%
≥65 years
1165
0.74
0.66–0.84
Q
=
2.1756
p
=
0.54
0%
Sex
Male
1907
0.68
0.54–0.84
Q
=
13.2772
p
=
0.004
77.40%
Female
1110
0.66
0.49–0.89
Q
=
15.3943
p
=
0.002
80.51%
ECOG status
0
1440
0.61
0.48–0.80
Q
=
16.3356
p
<
0.001
81.64%
≥1
1385
0.73
0.60–0.88
Q
=
6.5342
p
=
0.088
54.09%
KRAS status
Wildtype
1219
0.60
0.47–0.76
Q
=
14.7202
p
=
0.02
76.62%
Mutation
1326
0.66
0.53–0.83
Q
=
15.5233
p
=
0.001
80.67%Table 4
Results of subgroup analyses for overall survival.
Subgroup
n
HR
95% CI
Test of heterogeneity
Q-value
Test of heterogeneity
p value
I
2 coefficient
Age
<65 years
1578
0.80
0.71–0.90
Q
=
1.2902
p
=
0.52
0%
≥65 years
1073
0.84
0.73–0.97
Q
=
0.0354
p
=
0.98
0%
Sex
Male
1604
0.82
0.73–0.92
Q
=
3.8902
p
=
0.14
48.59%
Female
1047
0.81
0.70–0.94
Q
=
3.4071
p
=
0.18
41.30%
ECOG status
0
1290
0.76
0.67–0.88
Q
=
0.9274
p
=
0.63
0%
≥1
1351
0.86
0.76–0.97
Q
=
0.7502
p
=
0.69
0%
KRAS status
Wildtype
1157
0.74
0.64–0.85
Q
=
1.7867
p
=
0.41
0%
Mutation
1260
0.89
0.78–1.02
Q
=
0.09216
p
=
0.95
0%PFS was improved both in studies using mAB targeting the VEGF-axis (n
=
2,448), HR 0.73 (95%-CI, 0.67–0.79) (no heterogeneity was identified p
=
0.37, I
2 = 0%), and in studies using TKI (n
=
1,220), HR 0.55 (95%-CI, 0.38–0.78) (test for heterogeneity p
=
0.010, I
2 = 70.%) (Supplementary Figure S
9). The pooled HR for OS regarding trials investigating monoclonal antibodies (mAB) targeting the VEGF-axis (TML, BEBYP, VELOUR subgroup, and RAISE; n
=
2448) was 0.83 (95%-CI, 0.75–0.91) (test for heterogeneity p
=
0.93, I
2 = 0%) and the pooled HR for OS in studies investigating the use of TKI beyond progression (CORRECT, FOSCO, AGITG subgroup, and CONCUR subgroups; n
=
1220) was 0.92 (95%-CI, 0.59–1.42) (test for heterogeneity p
=
0.011, I
2 = 69.%) (Supplementary Figure S
10).The use of antiangiogenic drugs beyond progression did not increase response rates (n
=
5 trials included in meta-analysis with a total of n
=
3,199 patients) (Table 5 and Figure 4). The odds ratio (OR) was 1.18 (95%-CI, 0.94–1.49). In contrast, progression rate was decreased (n
=
4 trials included in meta-analysis with a total of n
=
2,826 patients) (Table 6 and Figure 5). The odds ratio (OR) was 0.51 (95%-CI, 0.31–0.82). Finally, the rate of evaluable patients achieving at least stable disease (n
=
4 trials reporting data with a total of n
=
2,652 patients) was improved with an OR of 2.25 (95%-CI, 1.41–3.58) (Table 7 and Figure 6).Table 5
Analysis of response rate. Number of patients achieving tumor remissions according to treatment.
Study name
Active treatment
Control
OR
95%-CI
Remission
No remission
Remission
No remission
TML
22
382
16
390
1.40
[0.73–2.71]
CORRECT
5
500
1
254
2.54
[0.30–21.86]
BEBYP
19
73
16
76
1.24
[0.59–2.59]
VELOUR
22
164
16
171
1.43
[0.73–2.83]
RAISE
72
464
67
469
1.09
[0.76–1.55]
Overall
Test of heterogeneity:Q
=
1.2927, p
=
0.86, I
2
=
0
%
1.18
[
0.94–1.49]Table 6
Analysis of tumor progression. Number of patients experiencing tumor progression according to treatment.
Study name
Active treatment
Control
OR
95%-CI
Progression
No progression
Progression
No progression
TML
129
275
186
220
0.55
[0.42–0.74]
CORRECT
298
207
217
38
0.25
[0.17–0.37]
BEBYP
28
64
39
53
0.59
[0.32–1.09]
RAISE
139
397
167
369
0.77
[0.59–1.01]
Overall
Test of heterogeneity:Q
=
21.9488, p
<
0.001, I
2
=
86.33
% → random effect model
0.51
[
0.31–0.82]Table 7
Analysis of tumor stabilization rate. Number of patients experiencing at least stable disease according to treatment.
Study name
Active treatment
Control
OR
95%-CI
No progression
Progression
No progression
Progression
TML
275
87
220
142
2.04
[1.48–2.81]
CORRECT
221
284
38
217
4.44
[3.02–6.54]
BEBYP
64
27
53
37
1.65
[0.89–3.06]
RAISE
397
87
369
134
1.66
[1.22–2.25]
Overall
Test of heterogeneity:Q
=
17.03610, p
<
0.001, I
2
=
82.39
% → random effect model
2.25
[1.41–3.58]Figure 4
Meta-analysis of remission rate. CI: confidence interval; OR: odds ratio.Figure 5
Meta-analysis of progression rate. CI: confidence interval; OR: odds ratio.Figure 6
Meta-analysis of prevention of progression rate. CI: confidence interval; OR: odds ratio.


## 3.1. Selected Trials

The Medline search was done on June 15, 2016. It resulted in 3,252 articles. Hand-searches of conference proceedings were conducted including all conferences until June 2016.Based on the criteria defined above the following eight studies were selected for inclusion into the current meta-analysis (PRISMA diagram; cf. Figure1): TML trial [9], BEBYP trial [10, 11], subgroup of VELOUR study [12], CORRECT trial [14], subgroup of AGITG CO.20 trial [16], a subgroup of patients treated within a randomized phase II trial (FOSCO) investigating the addition of sorafenib to second-line chemotherapy [17], subgroups of the CONCUR study [15], and the RAISE study [18].Figure 1
PRISMA diagram.Trial characteristics are depicted in Table1. All trials were evaluable for PFS and OS.Table 1
Overview of studies included in meta-analysis.
Study
First author/year
Investigational treatment
Control treatment
Primary endpoint
Number of patients (ITT)(active/control)
TML
Bennouna 2012 [9]
Chemotherapy (oxaliplatin or irinotecan based)plus bevacizumab
Chemotherapy (oxaliplatin or irinotecan based) alone
OS
819 (409/410)
CORRECT
Grothey 2013 [14]
Regorafenib
Placebo
OS
760 (505/255)
BEBYP
Masi 2013 [10]
Chemotherapy (FOLFIRI, mFOLFOX)plus bevacizumab
Chemotherapy (FOLFIRI, mFOLFOX) alone
PFS
184 (92/92)
VELOUR subgroup
Allegra 2012 [13]
FOLFIRI plus aflibercept
FOLFIRI
OS
373 (186/187)
AGITG subgroup
Siu 2013 [16]
Cetuximab plus brivanib
Cetuximab
OS
310 (152/158)
FOSCO
Hoehler 2013 [17]
FOLFOX/FOLFIRI plus sorafenib
FOLFOX/FOLFIRI plus placebo
PFS
69 (32/37)
RAISE
Tabernero 2015 [18]
FOLFIRI plus ramucirumab
FOLFIRI plus placebo
PFS
1072 (536/536)
CONCUR
Li 2015 [15]
Regorafenib
Placebo
OS
81Table2 shows the number of patients evaluable from respective trials for the determination of primary and secondary outcome parameters.Table 2
Overview of number of studies and patients available for primary and secondary analyses.
Progression-free survival
Overall survival
Primary endpoint
n
=
8 trials (n
=
3
,
688 pts)
n
=
8 trials (n
=
3
,
668 pts)
Secondary endpoint: PFS/OS subgroup analyses
Gender (male/female)
n = 4 trials (n = 3,017 pts)
n = 3 trials (n = 2,651 pts)
Age (cut-off 65 years)
n = 4 trials (n = 2,835 pts)
n = 3 trials (n = 2,651 pts)
ECOG status (0 versus ≥1)
n = 4 trials (n = 2,825 pts)
n = 3 trials (n = 2,641 pts)
KRAS status (WT/MUT)
n = 4 trials (n = 2,545 pts)
n = 3 trials (n = 2,417 pts)
Secondary endpoint: remission/progression analyses
Remission rate
n = 5 trials (n = 3,199 pts)
Progression rate
n = 4 trials (n = 2,826 pts)
Prevention of progression rate
n = 4 trials (n = 2,652 pts)


## 3.2. Combined Analysis: Primary Outcomes—Progression-Free and Overall Survival

The use of antiangiogenic drugs beyond progression improved progression-free survival and overall survival over control (i.e., best supportive care or active treatment alone). The hazard ratio for overall survival (n
=
3,668) was 0.83 (95%-CI, 0.76–0.89); (Figure 2). The test for heterogeneity was significant (p
=
0.010; I
2 = 40%). PFS was improved (n
=
3,668) with a HR of 0.64 (95%-CI, 0.55–0.75); test for heterogeneity: p
<
0.001; I
2
=
74
%; (Figure 3).Figure 2
Meta-analysis for overall survival. CI: confidence interval; HR: hazard ratio.Figure 3
Meta-analysis for progression-free survival. CI: Confidence interval; HR: hazard ratio.


## 3.3. Combined Analysis: Secondary Outcomes—Subgroup Analyses of Progression-Free and Overall Survival

The results of the subgroup analyses for PFS and OS according to sex, age, ECOG status, and KRAS status (WT versus MUT) are given in Table3 (PFS) and Table 4 (OS) and in Supplementary Figures S1–S8 in Supplementary Material available online at http://dx.doi.org/10.1155/2016/9189483. In all subgroup analyses (age, using a cut-off of 65 years, ECOG performance status, gender, and tumor KRAS mutational status) the use of antiangiogenic drugs beyond progression improved PFS with comparable hazard ratios in both dichotomized groups, respectively. Similarly, overall survival results are comparable for dichotomized subgroups regarding age and ECOG performance status. However, the benefit of using antiangiogenic drugs beyond progression regarding OS was weaker in the subgroup of women (n
=
1,047) with a HR of 0.81 (95%-CI, 0.70–0.94) and absent in patients bearing a tumor with KRAS mutation (n
=
1,260) with a HR of 0.89; 95%-CI, 0.78–1.02.Table 3
Results of subgroup analyses for progression-free survival.
Subgroup
n
HR
95% CI
Test of heterogeneity
Q-value
Test of heterogeneity
p value
I
2 coefficient
Age
<65 years
1670
0.62
0.47–0.82
Q
=
27.7950
p
<
0.001
89.21%
≥65 years
1165
0.74
0.66–0.84
Q
=
2.1756
p
=
0.54
0%
Sex
Male
1907
0.68
0.54–0.84
Q
=
13.2772
p
=
0.004
77.40%
Female
1110
0.66
0.49–0.89
Q
=
15.3943
p
=
0.002
80.51%
ECOG status
0
1440
0.61
0.48–0.80
Q
=
16.3356
p
<
0.001
81.64%
≥1
1385
0.73
0.60–0.88
Q
=
6.5342
p
=
0.088
54.09%
KRAS status
Wildtype
1219
0.60
0.47–0.76
Q
=
14.7202
p
=
0.02
76.62%
Mutation
1326
0.66
0.53–0.83
Q
=
15.5233
p
=
0.001
80.67%Table 4
Results of subgroup analyses for overall survival.
Subgroup
n
HR
95% CI
Test of heterogeneity
Q-value
Test of heterogeneity
p value
I
2 coefficient
Age
<65 years
1578
0.80
0.71–0.90
Q
=
1.2902
p
=
0.52
0%
≥65 years
1073
0.84
0.73–0.97
Q
=
0.0354
p
=
0.98
0%
Sex
Male
1604
0.82
0.73–0.92
Q
=
3.8902
p
=
0.14
48.59%
Female
1047
0.81
0.70–0.94
Q
=
3.4071
p
=
0.18
41.30%
ECOG status
0
1290
0.76
0.67–0.88
Q
=
0.9274
p
=
0.63
0%
≥1
1351
0.86
0.76–0.97
Q
=
0.7502
p
=
0.69
0%
KRAS status
Wildtype
1157
0.74
0.64–0.85
Q
=
1.7867
p
=
0.41
0%
Mutation
1260
0.89
0.78–1.02
Q
=
0.09216
p
=
0.95
0%PFS was improved both in studies using mAB targeting the VEGF-axis (n
=
2,448), HR 0.73 (95%-CI, 0.67–0.79) (no heterogeneity was identified p
=
0.37, I
2 = 0%), and in studies using TKI (n
=
1,220), HR 0.55 (95%-CI, 0.38–0.78) (test for heterogeneity p
=
0.010, I
2 = 70.%) (Supplementary Figure S
9). The pooled HR for OS regarding trials investigating monoclonal antibodies (mAB) targeting the VEGF-axis (TML, BEBYP, VELOUR subgroup, and RAISE; n
=
2448) was 0.83 (95%-CI, 0.75–0.91) (test for heterogeneity p
=
0.93, I
2 = 0%) and the pooled HR for OS in studies investigating the use of TKI beyond progression (CORRECT, FOSCO, AGITG subgroup, and CONCUR subgroups; n
=
1220) was 0.92 (95%-CI, 0.59–1.42) (test for heterogeneity p
=
0.011, I
2 = 69.%) (Supplementary Figure S
10).The use of antiangiogenic drugs beyond progression did not increase response rates (n
=
5 trials included in meta-analysis with a total of n
=
3,199 patients) (Table 5 and Figure 4). The odds ratio (OR) was 1.18 (95%-CI, 0.94–1.49). In contrast, progression rate was decreased (n
=
4 trials included in meta-analysis with a total of n
=
2,826 patients) (Table 6 and Figure 5). The odds ratio (OR) was 0.51 (95%-CI, 0.31–0.82). Finally, the rate of evaluable patients achieving at least stable disease (n
=
4 trials reporting data with a total of n
=
2,652 patients) was improved with an OR of 2.25 (95%-CI, 1.41–3.58) (Table 7 and Figure 6).Table 5
Analysis of response rate. Number of patients achieving tumor remissions according to treatment.
Study name
Active treatment
Control
OR
95%-CI
Remission
No remission
Remission
No remission
TML
22
382
16
390
1.40
[0.73–2.71]
CORRECT
5
500
1
254
2.54
[0.30–21.86]
BEBYP
19
73
16
76
1.24
[0.59–2.59]
VELOUR
22
164
16
171
1.43
[0.73–2.83]
RAISE
72
464
67
469
1.09
[0.76–1.55]
Overall
Test of heterogeneity:Q
=
1.2927, p
=
0.86, I
2
=
0
%
1.18
[
0.94–1.49]Table 6
Analysis of tumor progression. Number of patients experiencing tumor progression according to treatment.
Study name
Active treatment
Control
OR
95%-CI
Progression
No progression
Progression
No progression
TML
129
275
186
220
0.55
[0.42–0.74]
CORRECT
298
207
217
38
0.25
[0.17–0.37]
BEBYP
28
64
39
53
0.59
[0.32–1.09]
RAISE
139
397
167
369
0.77
[0.59–1.01]
Overall
Test of heterogeneity:Q
=
21.9488, p
<
0.001, I
2
=
86.33
% → random effect model
0.51
[
0.31–0.82]Table 7
Analysis of tumor stabilization rate. Number of patients experiencing at least stable disease according to treatment.
Study name
Active treatment
Control
OR
95%-CI
No progression
Progression
No progression
Progression
TML
275
87
220
142
2.04
[1.48–2.81]
CORRECT
221
284
38
217
4.44
[3.02–6.54]
BEBYP
64
27
53
37
1.65
[0.89–3.06]
RAISE
397
87
369
134
1.66
[1.22–2.25]
Overall
Test of heterogeneity:Q
=
17.03610, p
<
0.001, I
2
=
82.39
% → random effect model
2.25
[1.41–3.58]Figure 4
Meta-analysis of remission rate. CI: confidence interval; OR: odds ratio.Figure 5
Meta-analysis of progression rate. CI: confidence interval; OR: odds ratio.Figure 6
Meta-analysis of prevention of progression rate. CI: confidence interval; OR: odds ratio.


## 4. Discussion

Using aggregate data from eight randomized trials we found a clinically relevant and significant improvement of PFS and OS for the use of antiangiogenic drugs beyond progression with a cumulative hazard ratio of 0.64 for PFS and 0.83 for OS. The test for heterogeneity of study results was significant for both OS and PFS. The latter was mainly influenced by the results of the FOSCO trial for PFS and OS and additionally of the CORRECT trial for PFS. While the relative risk reduction for PFS was 35%, the survival benefit was 17% (HR 0.83). The main outlier in the OS analysis was the small FOSCO trial, which, however, had a relatively strong impact on the hazard ratio. Excluding FOSCO from the meta-analysis would result in an even lower hazard ratio underlining a significant benefit of continuing antiangiogenic drugs after first progression. FOSCO is one of a couple of studies investigating the addition of multityrosine kinase inhibitors to a chemotherapy doublet. All of these trials—regardless of the treatment setting, that is, 1st or 2nd line—have resulted in negative study results mainly caused by increased toxicity, decreased dose intensity, and compromised quality of life (e.g., CONFIRM or HORIZON studies). Thus, with the exception of FOSCO we found relatively homogeneous results regarding the patient-relevant endpoint of overall survival with a relative risk reduction for death of approximately 20% for continuation of antiangiogenic treatment beyond progression. Interestingly, the effects of different concepts (i.e., continuing bevacizumab beyond progression or switching to other antiangiogenic agents, for instance, aflibercept or ramucirumab) resulted in comparable hazard ratios for OS ranging between 0.77 and 0.86. Therefore, either approach might be considered for patients progressing after bevacizumab-based first-line therapy and the decision should be made in light of toxicity, patient preference, and drug approval status.We also investigated the effects of continued antiangiogenic treatment in subgroups. The decision to carry out analyses stratified by age, ECOG status, and gender as well as KRAS mutational status was mainly taken due to the fact that other subgroups of interest (for instance, liver only metastases and time interval between last bevacizumab treatment) have not been reported by a sufficiently high number of trials to enable a meta-analysis. In all subgroup analyses an improved PFS was found. The HR of the respective dichotomized groups (age <65 versus ≥65 years; women versus men, ECOG 0 versus ≥1, and KRAS wildtype versus KRAS mutation) were comparable. Similarly, overall survival results are comparable for dichotomized subgroups regarding age and ECOG performance status. However, the effect of using antiangiogenic drugs beyond progression regarding OS was weaker in the subgroup of women (n
=
1,047) with a HR of 0.81 (95%-CI, 0.70–0.94) and not statistically significant for patients bearing a tumor with KRAS mutation (n
=
1,260) with a HR of 0.89 (95%-CI, 0.78–1.02). The latter finding is difficult to interpret. However, a significant PFS benefit was demonstrated for both tumors with KRAS wildtype and KRAS mutations (HR 0.60 and 0.66, resp.) which suggests that patients with RAS mutations should not be excluded from continued treatment with antiangiogenic agents.No improvement in response rates was seen; however, the rate of progression was decreased. Additionally, we analyzed the potential to prevent tumor progression (defined as the number of patients with evaluable remission status achieving at least stable disease). In this analysis a clinically relevant benefit for the use of antiangiogenic drugs beyond progression was found. This is in line with earlier findings from the first-line setting, indicating that the activity of bevacizumab in combination with chemotherapy with respect to a prolongation of PFS is predominantly driven by disease stabilization [21].In all, the current meta-analysis demonstrates the usefulness of continued antiangiogenic drugs beyond progression regarding their potential to improve PFS and OS in a clinically meaningful manner. The benefit was seen in the subgroups stratified by age, gender, and ECOG performance status.Limitations of the current analysis are that no individual patient data were used and toxicity could not be assessed. Furthermore, although the antiangiogenic activity of the drugs included in the analysis may differ, we decided to include studies with multityrosine kinase inhibitors such as regorafenib as well, because these drugs are believed to exert their main activity via antiangiogenic mechanisms. Moreover, the size of some subgroups assessed in our analyses was small. Therefore, statistical power of single analyses might have been too low to show a significant difference in these subgroups, namely, women and KRAS-mutant tumors. Our meta-analysis, synthesizing data from several trials, indicates that using antiangiogenic drugs beyond and after progression can meanwhile be regarded as an established strategy in the treatment of patients with metastatic colorectal cancer. Future research should especially focus on the optimal sequence of using these antiangiogenic drugs, for instance, the timing of the switch from bevacizumab to broader active drugs such as aflibercept or regorafenib. Clearly, in this aspect biomarkers will be needed to elucidate if inhibition of alternative angiogenic pathways or additional tyrosine kinases would be required for continued antiangiogenic activity or if the patient could remain on bevacizumab treatment.



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*Source: 9189483-2016-08-30.xml*