Literature DB >> 27188199

Post-bevacizumab Clinical Outcomes and the Impact of Early Discontinuation of Bevacizumab in Patients with Recurrent Malignant Glioma.

Yongjun Cha1, Yu Jung Kim2, Se-Hoon Lee1,3, Tae-Min Kim1, Seung Hong Choi4, Dong-Wan Kim1, Chul-Kee Park5, Il Han Kim6, Jee Hyun Kim2, Eunhee Kim7, Byungse Choi7, Chae-Yong Kim8, In Ah Kim9, Dae Seog Heo1.   

Abstract

PURPOSE: Bevacizumab±irinotecan is effective for treatment of recurrent malignant gliomas. However, the optimal duration of treatment has not been established.
MATERIALS AND METHODS: Ninety-four consecutive patients with recurrent malignant glioma who were treated with bevacizumab at our institutions were identified. Patients who continued bevacizumab until tumor progression were enrolled in a late discontinuation (LD) group, while those who stopped bevacizumab before tumor progression were enrolled in an early discontinuation (ED) group. Landmark analyses were performed at weeks 9, 18, and 26 for comparison of patient survival between the two groups.
RESULTS: Among 89 assessable patients, 62 (69.7%) and 27 (30.3%) patients were categorized as the LD and ED groups, respectively. According to landmark analysis, survival times from weeks 9, 18, and 26 were not significantly different between the two groups in the overall population. However, the LD group showed a trend toward increased survival compared to the ED group among responders. In the ED group, the median time from discontinuation to disease progression was 11.4 weeks, and none of the patients showed a definite rebound phenomenon. Similar median survival times after disease progression were observed between groups (14.4 weeks vs. 15.7 weeks, p=0.251). Of 83 patients, 38 (45.8%) received further therapy at progression, and those who received further therapy showed longer survival in both the LD and ED groups.
CONCLUSION: In recurrent malignant glioma, duration of bevacizumab was not associated with survival time in the overall population. However, ED of bevacizumab in responding patients might be associated with decreased survival.

Entities:  

Keywords:  Bevacizumab; Glioblastoma; Glioma; High-grade glioma

Mesh:

Substances:

Year:  2016        PMID: 27188199      PMCID: PMC5266387          DOI: 10.4143/crt.2015.466

Source DB:  PubMed          Journal:  Cancer Res Treat        ISSN: 1598-2998            Impact factor:   4.679


Introduction

Malignant gliomas are among the most vascular tumors, and, considering the widespread expression of pro-angiogenic factors and robust angiogenesis required for their growth, targeting angiogenesis in treatment of malignant gliomas is particularly tempting [1]. Treatment with antiangiogenic agent bevacizumab has repeatedly shown significant antitumor activity in recurrent malignant gliomas [2-5]; however, some important questions regarding its use, including dosing, duration, and use in combination with other anti-tumor agents have not been answered [6,7]. Regarding treatment duration, most oncologists continue bevacizumab therapy until tumor progression, in the hope that it might continue to exert antitumor activity [6]. There has also been concern that stopping bevacizumab may lead to rapid clinical deterioration (“rebound phenomenon”) as a result of cerebral edema [8,9]. On the other hand, for various reasons, many patients with recurrent malignant glioma discontinue bevacizumab therapy before tumor progression [10]. Use of bevacizumab and/or its partner drug may be accompanied by significant toxicities, and bevacizumab is also associated with increased treatment-related mortality [11]. A high financial burden is another important reason for premature discontinuation [7]. In addition, an optimal treatment duration in responding patients is still a controversial issue; therefore, some oncologists prefer to discontinue bevacizumab in patients who show a prolonged response [6]. To address issues concerning treatment duration, the clinical outcomes of patients with recurrent malignant gliomas who discontinued bevacizumab therapy prior to tumor progression for reasons other than progression were analyzed, and their survival was compared with that of patients who continued bevacizumab until tumor progression. We also examined post-bevacizumab clinical outcomes and further treatments selected for patients who discontinued bevacizumab.

Materials and Methods

1. Patients and procedures

The study population included patients with recurrent malignant gliomas who were treated with bevacizumab alone or in combination with irinotecan between August 2006 and September 2012 at Seoul National University Hospital and Seoul National University Bundang Hospital. Histological diagnosis of a grade of III or IV glioma as defined by the World Health Organization was required for inclusion in the study. In addition, to avoid the risk of recording inaccurate data due to pseudo-progression, only patients who demonstrated objective radiographic progression at > 12 weeks post-radiotherapy or in whom the majority of progressive disease was occurring outside the radiation field were included [12]. Bevacizumab (Avastin, Roche Pharma SChweiz AG, Reinach, Switzerland) alone (10 mg/kg) was administered intravenously once every 2 weeks, or was administered in combination with irinotecan (125 mg/m2 for patients not receiving enzyme-inducing antiepileptic drugs [EIAEDs] or 340 mg/m2 for patients receiving EIAEDs). The patients were followed and evaluated for clinical findings during every cycle of therapy. Brain magnetic resonance (MR) imaging was performed every three to four cycles, and when neurological deterioration was suspected. Clinical records and MR images of the patients were reviewed retrospectively. Responses were determined according to the new Response Assessment in Neuro-Oncology (RANO) criteria based on the MR imaging, clinical findings, and steroid requirements [13]. This study was approved by the Institutional Review Boards of both hospitals.

2. Statistical considerations

Pearson’s chi-square test or Fisher exact test was used for clinical comparisons between the two groups. The two-sample t test or Mann-Whitney test was used for comparison of the two groups for interval variables, as appropriate. Progression-free survival (PFS) was defined as the time from treatment initiation to documentation of disease progression or death from any cause, and overall survival (OS) was defined as the time from treatment initiation to death from any cause. The Kaplan-Meier method was used to estimate the median durations of PFS and OS, and PFS and OS were compared using log-rank tests. Patients were categorized according to two groups based on the timing of bevacizumab discontinuation. Patients who continued bevacizumab until tumor progression were categorized as the late discontinuation (LD) group, while those who stopped bevacizumab therapy before tumor progression were categorized as the early discontinuation (ED) group. Landmark analyses were performed for comparison of survival times between the LD and ED groups. The timing of bevacizumab discontinuation was an event that varied over time; therefore, simple plotting of the survival function in both the LD and ED groups was inappropriate [14], and comparison of survival between the two groups using log-rank test was also inappropriate [14]. Landmark analysis determines OS from a specific time point after initiation of treatment (i.e., landmark). Thus, in landmark analysis, the OS for each patient is defined as the time from the landmark to death, not as the time from initiation of treatment to death. A survival function can then be plotted for comparison of survival rates between groups according to treatment outcome variables (the timing of discontinuation in our study). Three landmarks were selected in this study (weeks 9, 18, and 26). Because patient response was evaluated every 3-4 cycles (i.e., 6-8 weeks) during treatment, we believed that response evaluations and decisions regarding treatment continuation could best be made at those time points. Assessing the effects of ED on survival in primary non-responders is not relevant; therefore, our landmark analyses included only patients with a response showing stable or better than stable disease (SD) at their first response assessment visit. For each landmark analysis, multivariable analysis was performed using the Cox proportional hazard regression model to adjust for important baseline characteristics including age, performance status, number of relapses, and histologic grades, as well as the response achieved at each landmark. The proportionality of hazards assumption was checked by plotting the log minus log (LML) of the survival functions and the Cox proportional hazards model with time varying coefficients. The curves of LML for each variable were parallel, and time varying coefficients were not statistically significant. All p-values are the two-tailed type, and p < 0.05 was considered statistically significant. Statistical analyses were performed using IBM SPSS Statistics ver. 20.0 (IBM Co., Armonk, NY). The statistical methods and analyses used in this study were reviewed by the Medical Research Collaborating Center of Seoul National University Hospital.

Results

1. Bevacizumab discontinuation

A total of 94 consecutive patients were enrolled in this study. The median patient follow-up period was 4.8 years (range in living patients, 0.2 to 5.9 years). At the time of their last follow-up visit, 88 patients (93.6%) had discontinued bevacizumab containing chemotherapy and one patient was still receiving treatment (on the 19th cycle). The five remaining patients were lost to follow-up during treatment and were excluded from further analyses. Sixty-one patients who had discontinued bevacizumab treatment at the time of tumor progression and one patient still receiving bevacizumab therapy were classified as the LD group. Twenty-seven patients who discontinued bevacizumab treatment before tumor progression were classified as the ED group. The reasons for treatment discontinuation in the ED group included treatment toxicities in two patients (7.4%) (pulmonary thromboembolism and anaphylaxis), physician’s choice in five patients (18.5%), and patient’s choice in 20 patients (74.1%) (financial burden in 12 patients, unknown reasons in eight patients). The baseline characteristics of all 89 patients are shown in Table 1. Bevacizumab regimens (combination vs. single-agent), median duration, and cycles of treatment were comparable between the groups (Table 2); however, a higher response rate was observed in the ED group than in the LD group, although the difference was not statistically significant (45.8% vs. 22.6%, p=0.055).
Table 1.

Baseline characteristics according to timing of bevacizumab discontinuation

VariableTiming of discontinuation[a)]
p-value
LD (n=62)ED (n=27)
Age (yr)45 (17-78)51 (19-79)0.062
Sex
 Male40 (64.5)18 (66.7)> 0.99
 Female22 (35.5)9 (33.3)
ECOG performance scale
 02 (3.2)00.954
 140 (64.5)18 (66.7)
 213 (21.0)8 (29.6)
 37 (11.3)1 (3.7)
Histology
 Glioblastoma multiforme39 (62.9)17 (63.0)> 0.99
 Anaplastic glioma23 (37.1)10 (37.0)
Surgical resection39 (63.9)16 (59.3)0.812
Radiation therapy59 (95.2)27 (100)0.550
No. of recurrences, median (range)2 (1-4)2 (1-4)0.942
Time from diagnosis (wk)55.3 (12.1-255.7)72.6 (14.3-231.9)0.313

Values are presented as median (range) or number (%). LD, late discontinuation; ED, early discontinuation; ECOG, Eastern Cooperative Oncology Group.

The patients shown in this table were categorized into LD and ED groups as determined at the time of the last follow-up visit.

Table 2.

Bevacizumab treatment and efficacy

VariableTiming of discontinuation[a)]
p-value
LD (n=62)ED (n=27)
Bevacizumab treatment regimen, n (%)
 Bevacizumab+irinotecan57 (91.9)27 (100)0.317
 Bevacizumab alone5 (8.1)0
Duration of treatment, median (range, wk)11.4 (1.0-53.0)14.9 (1.0-64.9)0.993
Cycles of treatment, median (range)6 (1-23)6 (1-24)0.727
Response, n (%)[b)]
 CR/PR14 (22.6)11 (45.8)0.055
 SD37 (59.7)12 (50.0)
 PD11 (17.7)1 (4.2)
Duration of treatment by responses, median (wk)
 CR/PR29.426.00.551
 SD11.78.90.226
PFS, median (95% CI, wk)[c)]16.7 (14.2-19.3)-
6-Month PFS (95% CI, %)[c)]22.7 (14.4-31.0)-
OS, median (95% CI, wk)[c)]32.0 (28.1-35.9)-
6-Month OS (95% CI, %)[c)]67.7 (58.5-76.9)-
12-Month OS (95% CI, %)[c)]24.6 (16.1-33.1)-

LD, late discontinuation; ED, early discontinuation; CR, complete response; PR, partial response; SD, stable disease; PD, progressive disease; PFS, progression-free survival; CI, confidence interval; OS, overall survival.

The patients shown in this table were categorized into LD and ED groups as determined at the time of the last follow-up visit,

Calculated for 24 response-evaluable patients in the ED group,

Calculated for all 89 patients.

2. Impact of ED of bevacizumab

Survival times in the LD and ED groups were compared by landmark analyses. The median survival times from each landmark (weeks 9, 18, and 26) in the LD and ED groups were as follows: 27.3 weeks versus 25.4 weeks (week 9); 19.1 weeks versus 19.0 weeks (week 18); and 14.3 weeks versus 18.1 weeks (week 26), respectively (Table 3). In comparison using log-rank tests, the residual survival times from all three landmarks were not significantly different between groups (Fig. 1). In multivariable Cox analysis, the timing of bevacizumab discontinuation was not a significant factor affecting survival at any time point (adjusted hazard ratio for the ED group, 1.02 [95% confidence interval (CI), 0.40 to 2.60] at week 9; 1.13 [95% CI, 0.56 to 2.29] at week 18, and 0.72 [95% CI, 0.37 to 1.39] at week 26) (Table 3). Because patients who achieve an objective response to bevacizumab treatment are more likely to be included in the ED group than those with SD, we further compared the two groups among both responders and non-responders separately at each landmark (Table 3). Although residual survival times from each landmark were not significantly different according to timing of bevacizumab discontinuation, a trend toward increased survival time was observed in the LD group compared to the ED group among patients who achieved an objective response at the 18th week (Fig. 2). The impact of bevacizumab discontinuation was also analyzed by histologic grades (glioblastoma multiforme and anaplastic glioma) (Tables 4 and 5). Patients with glioblastoma and anaplastic glioma showed clinical outcomes comparable to those found in the overall population.
Table 3.

Landmark analyses of overall survival according to timing of bevacizumab discontinuation

Overall survival from landmarkWeek 9
Week 18
Week 26
LDEDLDEDLDED
Overall population, n69751143618
 Median weeks (95% CI)27.3 (22.1-32.5)25.4 (17.3-33.6)19.1 (8.9-29.4)19.0 (8.3-29.7)14.3 (3.8-24.8)18.1 (15.4-20.9)
 p (log-rank)0.8990.5230.626
 Adjusted hazard ratio (95% CI)[a)]-1.02 (0.40-2.60)-1.13 (0.56-2.29)-0.72 (0.37-1.39)
 p (Wald)0.9630.7270.327
Patients with CR/PR[b)], n220214178
 Median weeks (95% CI)43.3 (29.2-574)-48.0 (30.8-65.2)25.6 (13.5-37.6)32.1 (18.1-46.2)19.9 (14.2-25.5)
 p (log-rank)-0.0510.858
Patients with SD[b)], n47730101910
 Median weeks (95% CI)21.7 (16.7-26.8)25.4 (17.3-33.6)12.7 (7.2-18.3)18.3 (12.9-23.7)9.7 (2.6-16.8)11.0 (0.0-13.0)
 p (log-rank)0.5190.3960.383

LD, late discontinuation; ED, early discontinuation; CI, confidence interval; CR, complete response; PR, partial response, SD, stable disease; ECOG, Eastern Cooperative Oncology Group.

Adjusted for age, ECOG performance scale (0-1 vs. 2-3), histologic grades (glioblastoma multiforme vs. anaplastic glioma), number of relapses (1 vs. ≥ 2), and response at each landmark (CR/PR vs. SD),

Response at each landmark.

Fig. 1.

Kaplan-Meier curves for overall survival in late discontinuation (LD) and early discontinuation (ED) groups from each landmark (A, week 9; B, week 18; C, week 26). The residual survival times from all three landmarks were not significantly different between the LD and the ED group. p-values were determined by log-rank tests.

Fig. 2.

Kaplan-Meier curves for overall survival in late discontinuation (LD) and early discontinuation (ED) groups from each landmark among patients with complete response/partial response (A-C) and stable disease (D-F). The residual survival times from all three landmarks were not significantly different between the LD and the ED group. p-values were determined by log-rank tests.

Table 4.

Landmark analyses of overall survival according to timing of bevacizumab discontinuation in patients with glioblastoma multiforme

Overall survival from landmarkWeek 9
Week 18
Week 26
LDEDLDEDLDED
Overall population, n4353292112
 Median (95% CI, wk)23.0 (17.7-28.3)25.0 (17.8-33.1)14.3 (8.7-19.8)19.0 (16.9-21.1)12.9 (2.6-23.1)17.6 (5.6-29.5)
 p (log-rank)0.7780.9480.297
 Adjusted hazard ratio (95% CI)[a)]-1.13 (0.37-3.43)-1.02 (0.42-2.44)-0.75 (0.31-1.84)
 p (Wald)0.8380.9690.535
Patients with CR/PR[b)], n9010275
 Median (95% CI, wk)63.7 (33.9-93.6)-54.7 (0.0-130.3)25.646.7 (4.0-89.4)26.3
 p (log-rank)-0.0840.416
Patients with SD[b)], n345227147
 Median (95% CI, wk)20.4 (15.8-25.1)21.7 (16.6-26.9)9.9 (5.1-14.6)18.3 (13.5-23.1)6.0 (0.0-13.3)10.3 (5.5-15.1)
 p (log-rank)0.3830.1940.641

LD, late discontinuation; ED, early discontinuation; CI, confidence interval; CR, complete response; PR, partial response, SD, stable disease; ECOG, Eastern Cooperative Oncology Group.

Adjusted for age, ECOG performance scale (0-1 vs. 2-3), number of relapses (1 vs. ≥ 2), and response at each landmark (CR/PR vs. SD),

Response at each landmark.

Table 5.

Landmark analyses of overall survival according to timing of bevacizumab discontinuation in patients with anaplastic glioma

Overall survival from landmarkWeek 9
Week 18
Week 26
LDEDLDEDLDED
Overall population, n262195156
 Median weeks (95% CI)33.6 (22.4-44.7)10.628.3 (15.9-40.7)26.1 (5.8-46.5)10.7 (0.0-41.3)7.5 (3.4-32.9)
 p (log-rank)0.2460.1290.219
 Adjusted hazard ratio (95% CI)[a)]-1.50 (0.15-15.10)-2.42 (0.58-10.09)-1.33 (0.38-4.65)
 p (Wald)0.7300.2240.659
Patients with CR/PR[b)], n130112103
 Median (95% CI, wk)37.3 (31.4-43.2)-39.3 (19.6-59.0)15.631.3 (5.5-57.1)7.6 (3.0-12.1)
 p (log-rank)-0.2280.057
Patients with SD[b)], n1328353
 Median (95% CI, wk)27.7 (14.6-40.8)10.618.7 (4.3-33.2)26.110.7 (0.0-32.2)20.4 (16.8-24.1)
 p (log-rank)0.6840.5360.520

LD, late discontinuation; ED, early discontinuation; CI, confidence interval; CR, complete response; PR, partial response, SD, stable disease; ECOG, Eastern Cooperative Oncology Group.

Adjusted for age, ECOG performance scale (0-1 vs. 2-3), number of relapses (1 vs. ≥ 2), and response at each landmark (CR/PR vs. SD),

Response at each landmark.

3. Clinical outcomes following bevacizumab discontinuation

In the ED group, 22 patients had experienced disease progression at the time of the last follow-up and the median time from discontinuation to progression (DTP) was 11.4 weeks (95% CI, 8.0 to 14.9) (Table 6). Among the 11 responders, the median time from DTP was prolonged to 13.3 weeks (95% CI, 11.1 to 15.5). Among the seven cases with a DTP of ≤ 8 weeks, two patients were primary non-responders and four patients had previously shown signs of impending progressive disease (within the range of SD) as recorded by MR images taken while on treatment. In comparison of patterns of disease progression between groups, a non-enhancing progression pattern was observed less frequently in the ED group than in the LD group (13.6% vs. 21.3%), although the difference was not statistically significant (p=0.746). The median time from progression to death was similar between the two groups (14.4 weeks [95% CI, 12.5 to 16.4] for the LD group vs. 15.7 weeks [95% CI, 12.3 to 19.1] for the ED group, p=0.251). The median time from discontinuation of bevacizumab to death was 28.6 weeks (95% CI, 25.0 to 32.1) in the ED group.
Table 6.

Clinical outcomes following bevacizumab discontinuation

VariableTiming of discontinuation[a)]
p-value
LDED
Overall population
 Discontinuation to progression (wk)6227
  Median (95% CI)-11.4 (8.0-14.9)-
  Range-2.3-132.1
 Non-enhancing progression, n (%)[b)]13 (21.3)3 (13.6)0.746
 Progression to death (wk)[b)]
  Median (95% CI)14.4 (12.5-16.4)15.7 (12.3-19.1)0.251
 Discontinuation to death (wk)
  Median (95% CI)-28.6 (25.0-32.1)-
GBM
 Discontinuation to progression (wk)3817
  Median (95% CI)-13.1 (9.3-17.0)-
  Range-2.4-132.1
 Non-enhancing progression, n (%)[c)]6 (15.8)1 (7.1)0.655
 Progression to death (wk)[c)]
  Median (95% CI)14.0 (10.9-17.1)15.6 (14.3-16.9)0.219
 Discontinuation to death (wk)
  Median (95% CI)-28.7 (23.0-34.4)-
AG
 Discontinuation to progression (wk)2310
  Median (95% CI)-6.0 (1.6-10.4)-
  Range-2.3-19.4
 Non-enhancing progression, n (%)[d)]7 (30.4)2 (25.0)> 0.99
 Progression to death (wk)[d)]
  Median (95% CI)14.6 (11.7-17.5)19.9 (3.3-36.4)0.919
 Discontinuation to death (wk)
  Median (95% CI)-27.9 (20.7-35.0)-

LD, late discontinuation; ED, early discontinuation; CI, confidence interval; GBM, glioblastoma multiforme; AG, anaplastic glioma.

The patients shown in this table were categorized into LD and ED groups as determined at the time of the last follow-up visit,

Calculated for 83 patients who progressed on bevacizumab (61 in LD and 22 in ED groups, respectively),

Calculated for 52 patients who progressed on bevacizumab (38 in LD and 14 in ED groups, respectively),

Calculated for 31 patients who progressed on bevacizumab (23 in LD and 8 in ED groups, respectively).

4. Post-bevacizumab treatment

Among 83 patients (61 in the LD group and 22 in the ED group, respectively) who experienced disease progression at the time of the last follow-up, 38 patients (45.8%) underwent further treatment (Table 7). Fewer patients in the ED group underwent further treatment after disease progression (22.7% vs. 54.1%, p=0.013). Types of therapy and chemotherapy regimens were not significantly different between the two groups. Patients who underwent further therapy showed a prolonged median survival time following bevacizumab failure (17.7 weeks vs. 12.9 weeks, p=0.016). Patients in both the ED and LD groups who received further therapy showed longer survival times (Fig. 3). Among 28 patients who received chemotherapy, only one patient achieved an objective response. The median PFS and OS times were 6.0 weeks (95% CI, 4.6 to 7.4) and 17.0 weeks (95% CI, 6.9 to 27.1), respectively. Notably, three patients (two in the ED group and one in the LD group) were treated again with bevacizumab containing therapy, which was the most common form of post-bevacizumab treatment (40.0%) in the ED group. Re-introduction of bevacizumab resulted in a response rate of 33.3% and a PFS and OS of 6.1 weeks (95% CI, 3.9 to 8.4) and 38.4 weeks (95% CI, 4.1 to 72.7), respectively.
Table 7.

Post-bevacizumab treatment

TreatmentNo. (%)LD (n=33)ED (n=5)p-value
Surgical therapy1 (2.6)1 (3.0)00.358[a)]
Radiation therapy9 (23.7)9 (27.3)0-
Chemotherapy28 (73.7)23 (69.7)5 (100)
 Metronomic temozolomide10 (26.3)9 (27.3)1 (20.0)0.146[b)]
 ACNU+CDDP8 (21.1)7 (21.2)1 (20.0)
 Bevacizumab re-introduction3 (7.9)1 (3.0)2 (40.0)
 Erlotinib4 (10.5)4 (12.1)0
 PCV (procarbazine+CCNU+vincristine)3 (7.9)2 (6.1)1 (20.0)

LD, late discontinuation; ED, early discontinuation.

Calculated for treatment types (surgery, radiation therapy, and chemotherapy),

Calculated for chemotherapy regimens.

Fig. 3.

Kaplan-Meier curves for overall survival after bevacizumab failure are shown in late discontinuation (LD) and early discontinuation (ED) groups according to post-bevacizumab treatment. Patients who received salvage therapy showed significantly longer survival times in both groups. p-values were determined by log-rank tests.

Discussion

Bevacizumab has been widely used in patients with cancers including colorectal, lung, renal cell, and breast cancer, as well as malignant glioma. Unlike conventional cytotoxic chemotherapy, bevacizumab treatment is often continued until disease progression or unacceptable toxicity. Evidence suggesting that prolonged treatment with bevacizumab might benefit patients includes (1) concerns that have been raised regarding disease flare after withdrawal of bevacizumab therapy [9,15], (2) some observational studies that support continuing bevacizumab beyond the time of tumor progression in colorectal cancers and recurrent glioblastomas [16,17]. By contrast, long-term bevacizumab treatment is likely to increase the risk for serious adverse events along with socioeconomic burden. More importantly, the high-dose and/or prolonged antiangiogenic therapy can induce excessive vessel pruning and aggravation of tumor hypoxia, which is regarded as a critical mediator of tumor progression and treatment resistance in malignant glioma [1,18,19]. Several reports have described increased tumor invasiveness and metastasis after antiangiogenic treatment or VEGFA gene ablation in a glioblastoma mouse model and human cases [20,21]. The occurrence of tumor phenotypic changes is also supported by frequent non-enhancing and distal progression patterns following bevacizumab treatment [22,23]. In this context, avoidance of long-term treatment with bevacizumab might be preferable, especially in patients showing a prolonged response. To study the impact of bevacizumab treatment duration in patients with recurrent malignant glioma, landmark analysis was performed for direct comparison of survival times by timing of the discontinuation of treatment. Among patients with stable or better than SD, patients in the ED group showed similar survival times at all three landmarks. However, it is difficult to exclude the possibility that the negative impact of ED on survival might have been counterbalanced by inclusion of more patients with favorable prognosis in the ED group as indicated by higher response rates (45.8% vs. 22.6%, p=0.055). Patients with a better prognosis are more likely to be included in the ED group, because their favorable response allows them to receive therapy long enough to have the opportunity to discontinue it before tumor progression. Therefore, multivariable analyses were performed to minimize the confounding effects produced by uneven distribution in prognostic groups, and we adjusted for patient response as well as for well-identified baseline characteristics. In our study, the adjustment for response was particularly important because response rates were different between the two groups, and response to bevacizumab therapy by itself is suggested as a predictor for overall survival in patients with malignant glioma [24]. Response and the timing of discontinuation are also outcome variables. Because landmark analysis can deal with the statistical problems inherent in the comparison of time-to-event distribution between groups according to the other outcome variables [14], adjustments for both response and timing of discontinuation were successful. The timing of bevacizumab discontinuation was not a significant factor for survival after adjusting for the covariates in the overall population; therefore, our data support that ED of bevacizumab is not associated with poorer outcomes at least in patients with SD while on bevacizumab treatment. However, the trend for increased survival shown in the LD group with an objective response suggests a possible association of ED of bevacizumab in responding patients with unfavorable clinical outcomes. In our study, patients with recurrent malignant glioma showed poor post-bevacizumab clinical outcomes. However, the disease course after ED was relatively favorable with a median DTP of 11.4, and the time from progression to death was similar between the ED and the LD groups (15.7 weeks and 14.4 weeks, p=0.251). These results are similar to those reported in a case study showing a median DTP of 4 months and a 6-month PFS of 43% for seven responders who discontinued bevacizumab prior to progression [10]. Our results were also in agreement with those for other indications. In a pooled analysis of randomized phase III trials including 4,205 patients with breast, colorectal, renal, and pancreatic cancer, prognosis after discontinuation of bevacizumab was relatively favorable, and patients did not experience disease flare [25]. Our results have some limitations resulting from the retrospective nature of the study, the relatively small and heterogeneous patient population. Although covariates were adjusted by multivariable analysis, the effects from potential confounding factors not included in the analysis could not be excluded, and the absence of a statistically significant difference in survival analyses between the LD and ED group cannot be translated into an equivalence of outcomes. Therefore, any inference or decision making based on our results should be made with caution and these inherent limitations should be considered. However, considering limited studies regarding optimal bevacizumab treatment in patients with recurrent malignant glioma, we believe that our study still provides valuable information.

Conclusion

In conclusion, results of our study suggest that in patients with recurrent malignant glioma, survival times were not significantly different according to duration of bevacizumab treatment in the overall population. However, ED of bevacizumab in patients who show an objective response while on treatment might be associated with decreased survival. Therefore, the potentially deleterious effects associated with ED of bevacizumab in responding patients should be further assessed in future studies. Despite generally poor clinical outcomes after discontinuing bevacizumab in both treatment groups, there was no definite evidence of disease flare that could be attributed to ED.
  25 in total

1.  Updated response assessment criteria for high-grade gliomas: response assessment in neuro-oncology working group.

Authors:  Patrick Y Wen; David R Macdonald; David A Reardon; Timothy F Cloughesy; A Gregory Sorensen; Evanthia Galanis; John Degroot; Wolfgang Wick; Mark R Gilbert; Andrew B Lassman; Christina Tsien; Tom Mikkelsen; Eric T Wong; Marc C Chamberlain; Roger Stupp; Kathleen R Lamborn; Michael A Vogelbaum; Martin J van den Bent; Susan M Chang
Journal:  J Clin Oncol       Date:  2010-03-15       Impact factor: 44.544

2.  Disease course patterns after discontinuation of bevacizumab: pooled analysis of randomized phase III trials.

Authors:  David Miles; Nadia Harbeck; Bernard Escudier; Herbert Hurwitz; Leonard Saltz; Eric Van Cutsem; Jim Cassidy; Barbara Mueller; Florin Sirzén
Journal:  J Clin Oncol       Date:  2010-11-22       Impact factor: 44.544

3.  High-dose antiangiogenic therapy for glioblastoma: less may be more?

Authors:  John F de Groot
Journal:  Clin Cancer Res       Date:  2011-08-18       Impact factor: 12.531

4.  Discontinuing bevacizumab in patients with glioblastoma: an ethical analysis.

Authors:  Jennifer C Kesselheim; Andrew D Norden; Patrick Y Wen; Steven Joffe
Journal:  Oncologist       Date:  2011-09-23

5.  Response as a predictor of survival in patients with recurrent glioblastoma treated with bevacizumab.

Authors:  Michael Prados; Timothy Cloughesy; Meghna Samant; Liang Fang; Patrick Y Wen; Tom Mikkelsen; David Schiff; Lauren E Abrey; W K Alfred Yung; Nina Paleologos; Martin K Nicholas; Randy Jensen; James Vredenburgh; Asha Das; Henry S Friedman
Journal:  Neuro Oncol       Date:  2010-11-17       Impact factor: 12.300

Review 6.  Antiangiogenic therapies for high-grade glioma.

Authors:  Andrew D Norden; Jan Drappatz; Patrick Y Wen
Journal:  Nat Rev Neurol       Date:  2009-10-13       Impact factor: 42.937

7.  Bevacizumab plus irinotecan in recurrent glioblastoma multiforme.

Authors:  James J Vredenburgh; Annick Desjardins; James E Herndon; Jennifer Marcello; David A Reardon; Jennifer A Quinn; Jeremy N Rich; Sith Sathornsumetee; Sridharan Gururangan; John Sampson; Melissa Wagner; Leighann Bailey; Darell D Bigner; Allan H Friedman; Henry S Friedman
Journal:  J Clin Oncol       Date:  2007-10-20       Impact factor: 44.544

8.  Phase II trial of single-agent bevacizumab followed by bevacizumab plus irinotecan at tumor progression in recurrent glioblastoma.

Authors:  Teri N Kreisl; Lyndon Kim; Kraig Moore; Paul Duic; Cheryl Royce; Irene Stroud; Nancy Garren; Megan Mackey; John A Butman; Kevin Camphausen; John Park; Paul S Albert; Howard A Fine
Journal:  J Clin Oncol       Date:  2008-12-29       Impact factor: 44.544

9.  Bevacizumab for recurrent malignant gliomas: efficacy, toxicity, and patterns of recurrence.

Authors:  A D Norden; G S Young; K Setayesh; A Muzikansky; R Klufas; G L Ross; A S Ciampa; L G Ebbeling; B Levy; J Drappatz; S Kesari; P Y Wen
Journal:  Neurology       Date:  2008-03-04       Impact factor: 9.910

10.  Tumor invasion after treatment of glioblastoma with bevacizumab: radiographic and pathologic correlation in humans and mice.

Authors:  John F de Groot; Gregory Fuller; Ashok J Kumar; Yuji Piao; Karina Eterovic; Yongjie Ji; Charles A Conrad
Journal:  Neuro Oncol       Date:  2010-01-06       Impact factor: 12.300

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  3 in total

Review 1.  The Vascular Microenvironment in Glioblastoma: A Comprehensive Review.

Authors:  Alejandra Mosteiro; Leire Pedrosa; Abel Ferrés; Diouldé Diao; Àngels Sierra; José Juan González
Journal:  Biomedicines       Date:  2022-05-31

2.  Rechallenge with bevacizumab in patients with glioblastoma progressing off therapy.

Authors:  Charlotte Bronnimann; Cristina Izquierdo; Stéphanie Cartalat; Laure Thomas; Bastien Joubert; Laura Delpech; Marc Barritault; David Meyronet; Jérôme Honnorat; François Ducray
Journal:  J Neurooncol       Date:  2018-01-31       Impact factor: 4.130

3.  Identification of diverse tumor endothelial cell populations in malignant glioma.

Authors:  Jeff C Carlson; Manuel Cantu Gutierrez; Brittney Lozzi; Emmet Huang-Hobbs; Williamson D Turner; Burak Tepe; Yiqun Zhang; Alexander M Herman; Ganesh Rao; Chad J Creighton; Joshua D Wythe; Benjamin Deneen
Journal:  Neuro Oncol       Date:  2021-06-01       Impact factor: 12.300

  3 in total

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