Small molecule kinase inhibitors in glioblastoma: a systematic review of clinical studies (original) (raw)

Abstract

The efficacy of small-molecule kinase inhibitors has recently changed standard clinical practice for several solid cancers. Glioblastoma is a solid cancer that universally recurs and unrelentingly results in death despite maximal surgery and radiotherapy with concomitant and adjuvant temozolomide. Several clinical studies using kinase inhibitors in glioblastoma have been reported. The present study systematically reviews the efficacy, toxicity, and tissue analysis of small-molecule kinase inhibitors in adult patients with glioblastoma as reported in published clinical studies and determines which kinases have been targeted by the inhibitors used in these studies. Publications were retrieved using a MEDLINE search and by screening meeting abstracts. A total of 60 studies qualified for inclusion, of which 25 were original reports. A total of 2385 glioblastoma patients receiving kinase inhibitors could be evaluated. The study designs included 2 phase III studies and 37 phase II studies. Extracted data included radiological response, progression-free survival, overall survival, toxicity, and biomarker analysis. The main findings were that (i) efficacy of small-molecule kinase inhibitors in clinical studies with glioblastoma patients does not yet warrant a change in standard clinical practice and (ii) 6 main kinase targets for inhibitors have been evaluated in these studies: EGFR, mTOR, KDR, FLT1, PKCβ, and PDGFR.

Keywords: clinical trial, glioblastoma, kinases, review, small-molecule inhibitors.


Small-molecule compounds that inhibit the kinase domain of specific kinase targets have recently changed clinical practice for several advanced solid cancers, such as lapatinib, which inhibits HER2 and EGFR in HER2-positive metastatic breast cancer;1 sunitinib, which inhibits VEGFR and PDGFR in metastatic renal-cell carcinoma;2 and sorafenib, which inhibits RAF, PDGFR, VEGFR, and KIT in advanced hepatocellular carcinoma3 and also in advanced renal-cell carcinoma.4 These advances followed the seminal contribution to cancer therapy by gefitinib for chronic myeloid leukemia by inhibiting the ABL/CBR fusion protein5 and for gastrointestinal stroma tumor by inhibition of the activating KIT mutation.6

Glioblastoma is one of the most aggressive solid cancers and the most common primary brain tumor. Because this tumor is inherently resistant to conventional therapy, the median patient survival is approximately 14 months. Although standard treatment with surgery, irradiation, and temozolomide postpones progression and extends survival to some extent, these tumors universally recur and unrelentingly result in death.7 Therefore, improvement of treatment options for patients with glioblastoma is imperative. For this purpose, inhibition of kinase targets that drive glioblastoma growth seems a reasonable treatment strategy to be further explored.

Several clinical studies have reported the efficacy of kinase inhibitors in glioblastoma. The outcome of these clinical studies has not been systematically reviewed, although a number of reviews highlight in their discussions a selection of studies using kinase inhibitors for glioblastoma.815 The aim of the present study was to review the efficacy of small-molecule kinase inhibitors in adult patients with glioblastoma based on published clinical study results and to determine which kinases are targeted by the inhibitors used in these clinical studies.

Search Strategy and Data Extraction

Results of clinical studies were obtained from 2 sources. A systematic search was performed in PubMed MEDLINE with the MeSH term “glioma” limited by publication type “clinical trial” and “adults”, with publication after January 1, 2002. Furthermore, the abstracts of the annual meetings of the American Society for Clinical Oncology from 2002 to 2008, of the European Association of Neuro-Oncology from 2005 to 2008, of the Society for Neuro-Oncology from 2003 to 2008, and of the World Federation of Neuro-Oncology in 2001 and 2005 were systematically searched for preliminary outcome data of clinical studies.

To compare the data obtained from studies without control patient groups, the results from published studies in patients with newly diagnosed and progressive glioblastoma receiving conventional therapy were included as historical controls.

The data extracted from these sources were the total number of patients in the study, the number of evaluated patients in the population used for data extraction, histopathological diagnosis, study design, type of inhibitor and dosage, inhibitor target, percentage of radiologically complete responses and partial responses, median progression-free survival (mPFS), PFS at 6 months (PFS6), median overall survival (mOS), OS at 12 months (OS12), the number of adverse events of grade 3, 4, or 5 according to the National Cancer Institute Common Toxicity Criteria, and the tissue analysis in relation to response. Data on the effect of kinase inhibitors on the functional status of patients were unavailable from the vast majority of evaluable studies. As far as possible, the data were extracted for the glioblastoma subgroup. When exact percentages and survival times were not provided, these were estimated from the time to progression and survival curves.

Publications and abstracts were screened for efficacy data. Audiovisual material at the ASCO website (http://www.asco.org/ASCOv2/Meetings/Abstracts) was available for some of the meeting presentations and was scanned for additional data not included in the meeting abstract. If no outcome data (ie, radiological response, PFS, or OS) were provided, the publication or abstract was excluded from the analysis.

Meta-analysis of the efficacy data was not performed because of the small sample sizes and the highly selected populations with inhomogeneity of inclusion criteria, histopathological diagnosis, stages of disease, drug schedules, and definitions of outcome and efficacy. Therefore, analysis of data is descriptive and qualitative.

Results

A total of 60 studies qualified for inclusion, of which 25 were published as original reports in peer-reviewed journals and 35 as meeting abstracts. Study designs included 2 phase III studies, 1 randomized phase II study, 28 single-arm phase II studies, 8 single-arm phase I/II studies, 16 phase I studies, 4 retrospective observational series, and 1 pharmacodynamic study. The sum of evaluated patients receiving kinase inhibitors was 2385. The average number of evaluable patients per study was 40, ranging from 6 to 178.

The efficacy, toxicity, and tissue analysis results are listed in Table 1.

Table 1.

A summary of efficacy, toxicity, and tissue analysis in clinical studies with small molecule kinase inhibitors in adult patients with newly diagnosed and progressive glioblastoma.

Kinase target First author Year Reference(s) Total no. of patients in the study No. of patients in evaluated population Study design Therapy CR (%) PR (%) OR (%) mPFS PFS6 (%) mOS OS12 (%) Toxicity as no. of grade 3, 4, or 5 events in no. of evaluable patients Tissue analysis to predict responsee
Newly diagnosed Progressive
GB AG GB AG
Baseline studies
Stupp 2005 7 573 286 III rth 5 9 12.1 51 NA
Stupp 2005 7 573 287 III rth + tmz 6.9 27 14.6 61 75 in 284 NA
Athanassiou 2005 60 130 57 r II rth 5.2 45 7.7 16 NA
Athanassiou 2005 60 130 53 r II rth + tmz 10.8 67 13.4 56 6 in 110 NA
Brada 2001 61 138 138 II tmz 2 6 8 2.1 18 5.4 15 60 in 138 NA
Yung 2000 62 225 112 r II tmz 0 5 5 3 21 7.1 22 26 in 110 NA
Yung 2000 62 225 113 r II Procarbazine 0 5 5 2.1 8 5.6 18 26 in 110 NA
Wong 1999 63 375 225 d Various salvage treatments without tmz, without kinase inhibitors 6 2.3 15 6.3 21 NA
Single target small molecule inhibitors
EGFR
Van den Bent 2009 45,64,65 54 54 r II Erlotinib 150–500 mg pod vs tmz or carmustine 0 4 4 1.8 11 7.7 22 13 in 54 ihc: EGFR EGFRvIII* PTEN pAKT; fish: EGFR; mut: EGFR
Preusser 2008 44 21 14 7 RObs Erlotinib 100–150 mg pod or Gefitinib 250 mg pod 0 14 14 3.1 19 5.1 5 1 in 21 ihc: EGFR EGFRvIII PTEN pAKT
Franceschi 2007 42 16 16 II Gefitinib 250 mg pod 0 0 0 2.1 13 6.2 14 5 in 28 ihc: EGFR pAKT; fish: EGFR
Buie 2007 66 6 6 I Erlotinib 450–900 mg every 3 days 0 17 17 0 in 6 None
Mellinghoff 2006 46 49 49 II Erlotinib 150–500 mg pod or Gefitinib 250–1000 mg pod 0 18a 18 ihc: EGFRvIII* PTEN*; fish: EGFR; mut: EGFR, HER2, PTEN; pcr: EGFR EGFRvIII
Haas-Kogan 2005 43 52 29 I Erlotinib dosage unavailable 0 17 17 ihc: EGFR* EGFRvIII pAKT*; fish: EGFR*; mut: EGFR PTEN
Cloughesy 2005 67,68 48 48 II Erlotinib 150–300 mg pod 2 6 8 17 ihc: EGFR EGFRvIII PTEN; fish: EGFR
Rich 2004 31,69 57 57 II Gefitinib 500–1000 mg pod 0 0 0 2 13 9.9 36 27 in 55 ihc: EGFR EHGRvIII; pcr: EGFR
Uhm 2004 70 96 96 II Gefitinib 500–1000 mg pod 6.8 62 12.8 54 21 in 63 ihc: EGFR EGFRvIII; fish: EGFR
Raizer 2004 71 45 31 II Erlotinib 150 mg pod 0 0 0 2.3 0 None
Lieberman 2004 72 65 38 I/II Gefitinib 250–1000 mg pod 0 13 13 2 9 None
Vogelbaum 2004 18,73,74 31 16 II Erlotinib 150 mg pod 0 25 25 5.2 fish: EGFR
Peery 2003 75 57 52 II Gefitinib 500–1000 mg pod 0 2 2 10 in 52 ihc: EGFR EGFRvIII; pcr: EGFR
mTOR
Cloughesy 2008 39 15 15 I Rapamycin 2–10 mg pod 0 7 7 3.6 7 in 15 ihc: pS6K pAKT pPRAS40*
Galanis 2005 27 65 65 II Temsirolimus 250 mg ivw 0 0 0 2.3 8 4.4 40 in 65 ihc: PTEN S6K pS6K* AKT pAKT; fish: EGFR PTEN; act: S6K
Chang 2005 26,76 43 43 II Temsirolimus 170–250 mg ivw 0 5 5 2.3 2 49 in 43 None
Chang 2004 77 12 9 I Temsirolimus 250–330 mg ivw 0 0 0 4 in 12 None
VEGFR
FLT1/KDR Batchelor 2007 17 16 16 II Cediranib 45 mg pod 0 56 56 4 30 7.5 9 in 16 ihc: VEGFR1 VEGFR2 VEGFR3 PDGFRα PDGFRβ; plasma: VEGF PIGF* sVEGFR2* bFGF* SDF1α*
KDR Conrad 2004 28,7880 55 55 I/II Vatalanib 150–2000 mg pod 0 4 4 2.5 25 10 in 45 None
PKCβ
Kreisl 2009 81 26 17 9 I Enzastaurine 500–1000 mg pod 4 4 8 1.4 5.7 9 in 22 Plasma: Pgsk3β
Fine 2008 34,8284 266 174 III Enzastaurine 500 mg pod vs lomustine 0 3 3 1.5 11 6.6 15 14 in 167 None
Fine 2005 85,86 85 57 II Enzastaurine 500 mg pod 0 18 18 3 in 85 None
Multitarget small molecule inhibitors
PDGFR/KIT/ABL
Raymond 2008 8789 112 51 II Imatinib 600–1000 mg pod 0 6 6 1.8 16 5.9 34 in 112 mut: KIT PDGFRα PDGFRβ ABCG2
Razis 2007 90 20 19 1 PD Imatinib 800 mg pod 0 0 0 6.2 ihc: AKT MAPK p27 EGFR PDGFR
Viola 2007 21 20 18 2 II Imatinib 800 mg pod 0 0 0 7.8 52 0 in 20 ihc: PDGFRα PDGFRβ
Wen 2006 41,91,92 55 34 I/II Imatinib 800 mg pod 0 6 6 3 35 in 55 pcr: EGFR EGFRvIII; mut: PTEN PDGFRα PDGFRβ
Marosi 2006 20 34 23 11 II Imatinib 400 mg pod 0 18 18 9.5 33 12.3 45 0 in 34 ihc: PDGFRα PDGFRβ KIT ABL
Franceschi 2005 93 28 16 II Imatinib 250 mg pod 0 0 0 2 13 6.1 14 5 in 28 None
KIT/PDGFR/KDR/FLT3/RET
Chaskis 2008 94 12 7 5b II Sunitinib 37.5 mg pod 0 8 8 5 in 12 None
EGFR/VEGFR
Kreisl 2008 95 32 32 II Vandetanib 300 mg pod 0 16 16 11 in 32 None
KDR/FLT1/PDGFR/FLT3/RET/KIT
Reardon 2008 96 16 16 II Sorafenib 400 mg pod + tmz 0 0 0 7 in 16 None
Combination therapy
EGFR + mTOR
Kreisl 2009 36 22 22 I/II Gefitinib 250 mg pod + everolimus 70 mg ivw 0 14 14 2.6 5 21 in 22 ihc: EGFR PTEN pAKT pS6K EGFRvIII
Friedman 2008 97 27 27 II Erlotinib 150–500 mg pod + Rapamycin 5–10 mg pod 0 0 0 6 in 27 None
Phuphanich 2008 19 18 18 I Gefitinib 250–1000 mg pod + rapamycin 2–6 mg pod 0 0 0 5 9.4 6 in 18 None
Reardon 2006 24 34 29 5 I Gefitinib 500–750 mg pod + rapamycin 5–10 mg pod 0 6 6 2.1 24 36 in 32 ihc: pMAPK pS6K pAKT PTEN EGFR; fish: EGFR PTEN
Doherty 2006 23 28 22 RObs Gefitinib 500 mg pod + rapamycin 4 mg pod 0 18 18 3 25 3 in 28 None
Badruddoja 2006 98 21 18 I/II Gefitinib 500–1500 mg pod + rapamycin 2 mg pod 0 0 0 3 17 8 in 18 None
Nguyen 2006 99 19 19 I/II Gefitinib 250 mg pod + everolimus 30–70 mg ivw 0 11 11 2.6 5 6.5 None
EGFR + conventional therapy
Prados 2009 32,100 65 65 II Erlotinib 100–300 mg pod + tmz 8.2 72 19.3 68 48 in 65 ihc: EGFR EGFRvIII PTEN*; fish: EGFR; pcr: MGMT*
Schwer 2009 25 15 11 4 I Gefitinib 250 mg pod + radiosurgery 53 10 None
Brown 2008 101 97 97 II Erlotinib 150 mg pod+ tmz + rth 7.2 15.3 61 ihc: EGFR EGFRvIII PTEN p53; fish: EGFR
De Groot 2008 37,102 44 43 II Erlotinib 150–200 mg pod + carboplatin 0 2 2 2 13 7.5 82 in 43 ihc: EGFR EGFRvIII pAKT PTEN
Chakravarti 2006 103106 178 178 I/II Gefitinib 500 mg pod + rth 5.1 11 ihc: EGFRvIII PTEN
Prados 2006 107,108 83 60 I Erlotinib 100–500 mg pod + tmz 0 8 8 2 7 36 in 83 None
Krishnan 2006 109 19 19 I Erlotinib 100–200 mg pod + rth 0 0 0 6 13.8 5 in 20 None
Brewer 2006 33,38,110 28 28 II Erlotinib 50–150 mg pod + tmz + rth 0 0 0 3.6 40 in 27 Fish: EGFR
PDGFR/KIT/ABL + hydroxyurea
Shah 2007 33 16 11 5 RObs Imatinib 400–500 mg pod + hydroxyurea 0 21 21 10 8 in 16 None
Dresemann 2008 111,112 240 120 III Imatinib 600 mg pod + hydroxyurea vs hydroxyurea 0 2 2 1.6 5 None
Dresemann 2008 35,113 30 30 II Imatinib 600 mg pod + hydroxyurea 0 13 13 60 67 4 in 30 None
Dresemann 2006 29 30 30 RObs Imatinib 400–600 mg pod + hydroxyurea 3 17 20 2.5 32 4.8 25 0 in 30 None
Reardon 2005 22,114116 33 33 II Imatinib 400–500 mg pod + hydroxyurea 3 6 9 3.6 27 12.2 14 in 33 None
Others
KDR + PDGFR/KIT/ABL Kirkpatrick 2008 30 37 34 3 I Vatalanib 2000 mg pod + imatinib 'standard dose' + hydroxyurea 0 22 22 27 None
EGFR + VEGF Sathornsumetee 2008 16,117,118 25 25 II Erlotinib 200–650 mg pod + bevacizumab 48 24 None
EGFR + SRC Reardon 2008 119 15 13 2 I Erlotinib 150–450 mg pod + dasatinib 100 mg pod 0 0 0 1 in 15 None
KIT/PDGFR/KDR/FLT/RET Wuthrick 2008 120 10 10 I Sunitinib 37.5 mg pod + rth 0 10 10 1 in 10 None
KDR + PDGFR/KIT/ABL Sathornsumetee 2007 121 35 35 I Vatalanib 500–1000 mg pod + imatinib 400–500 mg pod + hydroxyurea 0 29 29 4 in 35 None
KDR/FLT1/PDGFR + EGFR/HER2 Reardon 2007 122 32 32 II Pazopanib 400 mg pod + lapatinib 1000 mg pod 0 0 0 10 in 75 ihc: PTEN EGFRvIII
PDGFR/KIT/ABL Sathornsumetee 2006 123 56 46 10c I Imatinib unavailable dose + tmz 0 7 7 5 in 56 None
PDGFR/KIT/ABL + mTOR Desjardins 2006 124 28 28 I Imatinib 400 mg pod + hydroxyurea + everolimus 2.5 mg ivd 0 4 4 1 in 5 None
KDR Reardon 2004 125,126 60 60 I/II Vatalanib 500–1500 mg pod + tmz or lomustine 0 7 7 3.5 15 3 in 60 None

Radiological Response

Radiological response rates (ORs) were evaluable in 51 studies.

The reported objective radiological ORs were approximately double the baseline rates after inhibition of EGFR using erlotinib or gefitinib in 6 of 12 evaluable single-inhibitor studies, in 2 of 7 studies combining inhibition of EGFR and mTOR, and in none of 4 evaluable studies combining EGFR inhibition with conventional therapy. In 1 study combining EGFR inhibition by erlotinib with VEGF inhibition by bevacizumab, an OR of 48% was observed,16 which was comparable with the results for pan-VEGFR inhibition with cediranib.17 The ORs after inhibition of mTOR were comparable with the baseline results in 4 single-agent studies. Inhibition of PKCβ by enzastaurin increased the OR compared with baseline in 1 of 3 studies. Two of 6 single-agent studies using PDGFR/KIT/ABL inhibition by imatinib and 3 of 5 combination therapy studies with imatinib and hydroxyurea showed an increased OR. The combination of imatinib, hydroxyurea, and KDR inhibition by vatalanib resulted in increased ORs in 2 of 2 studies.

Progression-Free Survival

The PFS was evaluable as mPFS in 36 studies and as PFS6 in 34 studies.

The mPFS approximately doubled in progressive glioblastoma compared with baseline in 1 of 8 evaluable studies with EGFR inhibition by gefitinib or erlotinib18 and in 1 of 6 evaluable studies with combined EGFR and mTOR inhibition using gefitinib at high dose.19 Seven evaluable studies combining EGFR inhibition with conventional therapy had PFS comparable with baseline values. The mPFS was comparable with baseline in 3 evaluable studies with single-agent mTOR inhibition. The remarkable OR of VEGFR inhibition by cediranib was substantiated by a slightly increased mPFS of 4 months.17 The mPFS was increased in 2 of 4 evaluable studies with imatinib as single-agent therapy, although a relevant number of anaplastic gliomas were included in these 2 studies.20,21 One of 3 evaluable studies using combined imatinib and hydroxyurea showed a small increase in mPFS of 3.6 months compared with baseline.22

The PFS6 was comparable with baseline in all 8 evaluable studies with EGFR inhibitors as single-agent therapy, was possibly increased in 2 of 5 evaluable studies with combined EGFR and mTOR inhibition including 1 study with a number of anaplastic gliomas,23,24 and was increased in 1 of 4 evaluable studies with EGFR inhibition combined with conventional therapy, which included a relevant number of anaplastic gliomas.25 When EGFR inhibition was combined with VEGFR ligand binding by bevacuzimab, the PFS6 was 24%.16 The PFS6 was comparable with baseline using both evaluable single-agent mTOR inhibitors.26,27 In both studies with single-agent VEGFR inhibitors, the PFS6 was increased, including a PFS6 of 30% after cediranib in concordance with the increased OR and mPFS.17,28 The PFS6 was comparable with baseline in 1 evaluable study with PKCβ inhibition. The same 2 studies with single-agent imatinib that had an increased mPFS also had an increase in PFS6.20,21 Again, the number of anaplastic gliomas included in the study populations likely contributed to this finding. A slight increase in PFS6 was observed in 2 of 4 evaluable studies with combination therapy using imatinib and hydroxyurea, while 1 of these 2 studies was a retrospective observational series.22,29 Furthermore, the study with combined imatinib, hydroxyurea, and KDR inhibition by vatalanib had a PFS6 of 27%, although a number of anaplastic gliomas were included.30

Overall Survival

The OS was evaluable as mOS in 23 studies and as OS12 in 12 studies.

The mOS increased to 9.9 months in 1 of 5 evaluable studies with single-agent EGFR inhibition.31 In the 1 evaluable study with combined EGFR and mTOR inhibition, the mOS was also increased.19 The mOS was remarkably increased to 19.3 months in 1 of 6 evaluable studies with the combination of EGFR inhibition and conventional therapy, erlotinib, and temozolomide in this study with newly diagnosed glioblastomas.32 Another study with combination therapy using EGFR inhibition by gefitinib and radiosurgery showed an increased mOS; however, anaplastic gliomas were included.25 The one evaluable study with single-agent mTOR inhibition had an mOS comparable with baseline. The 1 evaluable study with VEGFR inhibition by cediranib, with encouraging OR, mPFS, and PFS6, barely presented an increase in mOS.17 The mOS was comparable with baseline in 2 evaluable studies with PKCβ inhibition by enzastaurin. In 1 of 4 evaluable studies with imatinib as single-agent therapy, the mOS was increased, although a substantial number of anaplastic gliomas were included.20 The mOS was increased in 2 of 3 evaluable studies with imatinib in combination with hydroxyurea; of these 2 studies, 1 included a number of anaplastic gliomas33 and the other showed an mOS of 12.2 months in progressive glioblastoma.22

The OS12 was increased to 36% in 1 of 5 evaluable studies with EGFR inhibition.26 In 1 of 2 evaluable studies with EGFR inhibition by erlotinib combined with temozolomide, the OS12 was increased to 68%.32 In 1 evaluable study with PKCβ inhibition by enzastaurin, the OS12 was comparable with baseline.34 The OS12 was increased to 45% in 1 of 2 evaluable studies with imatinib as single-agent therapy, which included a large number of anaplastic gliomas. Combination therapy using imatinib and hydroxyurea increased the OS12 in both evaluable studies.29,35

Toxicity

Toxicity data were evaluable in 26 studies.

The toxicity increased to 27 events in 55 patients in 1 of 7 evaluable studies with EGFR inhibition by gefitinib compared with baseline.31 The toxicity of therapy combining EGFR and mTOR inhibition was increased up to 36 events in 32 patients in 2 of 6 evaluable studies.24,36 Toxic events associated with therapy combining EGFR inhibition by erlotinib with conventional therapy, such as temozolomide,32 carboplatin,37 or temozolomide, and radiotherapy38 were considerably increased, with 48 events in 65 patients, 82 in 43 patients, and 40 in 27 patients, respectively. In 3 of 4 evaluable studies with mTOR inhibition by rapamycin or temsirolimus, toxicity was increased up to 49 events in 43 patients.26,27,39 The toxicity was increased in 1 of 2 studies with VEGFR inhibition by cediranib17 and was not increased with PKCβ inhibition. Imatinib was associated with increased toxicity (35 events in 55 patients) in 1 of 5 evaluable studies.40 The combination therapy of imatinib and hydroxyurea showed increased toxicity (up to 8 events in 16 patients) in 2 of 4 evaluable studies.22,41

Tissue Analysis

Patient tissue was analyzed in relation to response in 27 studies. The activation status of a substrate downstream of the kinase target was verified in 4 studies after EGFR inhibition4245 and in 2 studies after mTOR inhibition,27,39 of which 3 provided an indication of target inactivation after kinase inhibition.27,39,43 Several molecular markers have been found to predict response, sometimes with conflicting results.

An association between tissue analysis and response to EGFR inhibition was identified in 3 of 10 studies that analyzed tissue. In one of these studies, the presence of the EGFRvIII mutant correlated with poor PFS after erlotinib.45 In the second study, the presence of the EGFRvIII mutant coinciding with PTEN protein expression was associated with radiological response after erlotinib or gefitinib.46 In the third study, high EGFR protein expression, EGFR amplification, and low phosphorylated AKT protein expression, as a downstream target of EGFR, each correlated with radiological response, and in addition, high phosphorylated AKT protein expression was associated with poor PFS.43

A response correlation was found in 2 studies describing tissue analysis after mTOR inhibition. In one study, high protein expression of phosphorylated PRAS40, as a downstream target of AKT, correlated with poor PFS after rapamycin.39 In the other study, high protein expression of phosphorylated S6K, as a downstream target of mTOR, was associated with radiological response after temsirolimus.27

After VEGFR inhibition by cediranib, radiological tumor progression was associated with a decrease in the plasma protein level of PIGF and an increase in plasma protein levels of sVEGFR2, bFGF, and SDF1α.17

A survival benefit was identified in patients with both a methylated MGMT promotor status and positive PTEN protein expression after combination therapy of EGFR inhibition by erlotinib and temozolomide during and after radiotherapy.32

Kinase Drug Targets

The targets of small-molecule kinase inhibitors in clinical studies with glioblastoma patients have mainly been 6 kinases: EGFR, mTOR, KDR, FLT1, PKCβ, and PDGFR. In addition, 3 evaluated multitargeted agents also inactivate other kinase targets nonspecifically: imatinib also inhibits KIT and ABL, sunitinib also inhibits FLT3 and RET, and lapatinib also inhibits HER2.

Discussion

The main findings of the present study are that (i) the efficacy of small-molecule kinase inhibitors in clinical studies with adult glioblastoma patients does not yet warrant a change in standard clinical practice, and (ii) the main kinase targets of the inhibitors evaluated in these studies are EGFR, mTOR, KDR, FLT1, PKCβ, and PDGFR.

The evaluated studies have several limitations that should be considered in interpreting these results. First, many of the studies were not designed to determine the efficacy of therapy and consequently no control group was included for comparison of results in the intervention group. Included in this analysis were outcome results from 4 retrospective observational, 1 pharmacodynamic, 16 phase I, and 8 phase I/II studies. Control group data were available from 1 randomized phase II and 2 phase III studies. Second, sample sizes were small. For instance, the average number of patients in the phase II studies was 39 (range: 12–65). Third, the study populations predominantly consisted of patients with progressive glioblastoma or anaplastic glioma, except for 9 studies of patients with newly diagnosed glioblastoma. Fourth, drug activity was usually unknown, as the inactivation of downstream targets was seldom verified in tissue samples. Fifth, the classical study endpoints of radiological response, PFS, and OS were evaluated, each with their limitations. Beneficial effects for individual patients, for instance in terms of improved quality of life or alleviation of symptoms, cannot be excluded by evaluation of these classical endpoints. As an example of the limitations of the classical endpoints, the radiological response criteria rely on enhancement due to blood-brain barrier disruption. Causes other than tumor progression can induce enhancement, such as postoperative gliosis, infection, or radiation necrosis, and enhancement can be reduced by stabilization of the blood-brain barrier rather than by a decrease of the tumor burden. Furthermore, limitations to the PFS as an endpoint are inherent to the radiological definition of progression, its dependence on timing of radiological follow-up, and the fact that radiological progression is not necessarily equal to cessation of clinical benefit. Evaluation of the OS is hampered by bias from subsequent salvage therapies after the trial intervention and does not reflect the quality of the prolonged lifetime.

The lack of efficacy in these clinical studies can have several causes. First, results that have been obtained in preclinical glioma models and that have motivated further clinical evaluation may not adequately represent the pathobiology of glioblastoma in patients. Second, the inhibitor may have failed to inactivate the target in glioblastoma cells, for instance due to low concentrations in tumor tissue or agent inactivation mechanisms. Third, the pursued kinase target may be active only in a subpopulation of patients. The efficacy of kinase inhibition in this subpopulation may have been diluted by unselected glioblastoma patients. Fourth, alternative kinase signaling pathways may be active in parallel with the inhibited target, so that a single target's inactivation does not reduce downstream oncogenic signaling. Fifth, beneficial effects from these kinase inhibitors are perhaps not portrayed by the classical endpoints as evaluated.

Several strategies may help overcome these issues. First, the best kinase drug targets need to be identified for glioblastoma. Second, the preclinical efficacy from inhibition of these drug targets needs to be rigorously verified in several glioblastoma models to complement each single model's limitations. Third, kinase inhibitors need to be developed and optimized further, for instance by directing toward downstream targets or toward multiple kinase targets or by using a combination of inhibitors. However, the toxicity of the evaluated kinase inhibitors was significant, and hence improved safety of new inhibitors remains important. Fourth, the inactivation of the target and its downstream substrate should be verified in early studies with glioblastoma tissue obtained from patients. An elegant proof-of-concept of this biological activity endpoint was recently demonstrated.39 Fifth, the study populations need to be enriched by including patients likely to respond, by determining the activation status of the aimed drug target. Sixth, other clinical trial endpoints, such as quality of life and cognitive status, can be considered in addition to the classical trial endpoints.47,48 The radiological response is a useful surrogate endpoint for glioma therapy in general, because objective results are provided shortly after therapy. From the presented data, it is clear that reduction in enhancement can also be observed after kinase inhibition. The PFS6 suitably predicts OS and therefore is considered a meaningful endpoint for evaluation of progressive glioblastoma. Perhaps the ideal endpoint for assessment of clinical benefit by targeted therapy would be a multidimensional construct of imaging, symptoms, quality, progression, and survival.

A more fundamental question is whether glioblastoma is in fact a kinase-driven cancer. Undoubtedly, oncogenic kinase signaling is involved in glioblastoma, but whether kinases are crucial for the oncogenic signaling network of glioblastoma and are thereby amenable to therapeutic inhibition, remains to be determined. Kinase drug targets that have changed clinical practice in the treatment of solid cancers are dysregulated in 1 of 3 ways: by mutation, gene overexpression, or protein fusion.49 All three relevant mechanisms of kinase dysregulation have been identified in glioblastoma, for example, mutation of PIK3CA lipid kinase,50 overexpression of the AURKA gene,51 and fusion of FIG to ROS kinase.52 Details on kinase involvement in glioblastoma can be found in dedicated reviews.9,10,14,53,54 The protein kinase gene family consists of 518 members.55 The status of the vast majority of these kinases remains to be determined in glioblastoma, and it is unclear which kinases are best for targeting with small molecule inhibitors. Therefore, it may prove worthwhile to evaluate kinase targets other than those currently utilized for small molecule inhibition in glioblastoma.56

Another fundamental question, if glioblastoma turns out to be kinase driven, is which strategy is best for kinase inhibition. For example, one of the more favorable responses in the clinical studies reviewed here has been observed using the FLT1/KDR inhibitor cediranib.17 A strategy alternative for inhibition of kinase signaling other than using a small-molecule inhibitor is binding of the ligand of receptor tyrosine kinases with monoclonal antibodies. This strategy has recently been shown to hold promise as a cancer therapy for glioblastoma.5759

In conclusion, this review of published clinical studies demonstrates small-molecule kinase inhibitors for adult patients with glioblastoma to be not effective enough yet to warrant a change in clinical practice, whereas the evaluated drug targets have been generally limited to EGFR, mTOR, KDR, FLT1, PKCβ, and PDGFR.

Funding

The support from an Accelerate Brain Cancer Cure award and a grant from the Dutch Cancer Society are greatly appreciated.

Acknowledgments

We would like to thank Prof. Dr W.P. Vandertop and Prof. Dr C.J. Van Noorden, University of Amsterdam, for their constructive discussion of an early version of the manuscript.

Conflict of interest statement. None declared.

References