| Literature DB >> 23620671 |
Gazanfar Rahmathulla1, Elizabeth J Hovey, Neda Hashemi-Sadraei, Manmeet S Ahluwalia.
Abstract
High-grade gliomas continue to have dismal prognosis despite advances made in understanding the molecular genetics, signaling pathways, cytoskeletal dynamics, and the role of stem cells in gliomagenesis. Conventional treatment approaches, including surgery, radiotherapy, and cytotoxic chemotherapy, have been used with limited success. Therapeutic advances using molecular targeted therapy, immunotherapy, and others such as dietary treatments have not been able to halt tumor progression and disease-related death. High-grade gliomas (World Health Organization grades III/IV) are histologically characterized by cellular and nuclear atypia, neoangiogenesis, and necrosis. The expression of vascular endothelial growth factor, a molecular mediator, plays a key role in vascular proliferation and tumor survival. Targeting vascular endothelial growth factor has demonstrated promising results, with improved quality of life and progression-free survival. Bevacizumab, a humanized monoclonal antibody to vascular endothelial growth factor, is approved by the Food and Drug Administration as a single agent in recurrent glioblastoma and is associated with manageable toxicity. This review discusses the efficacy, practical aspects, and response assessment challenges with the use of bevacizumab in the treatment of high-grade gliomas.Entities:
Keywords: antiangiogenesis; bevacizumab; glioblastoma; glioma; vascular endothelial growth factor
Year: 2013 PMID: 23620671 PMCID: PMC3633547 DOI: 10.2147/OTT.S38628
Source DB: PubMed Journal: Onco Targets Ther ISSN: 1178-6930 Impact factor: 4.147
Trials with bevacizumab in recurrent high grade glioma (N ≥ 25)
| Study | Histology | Regimen | Response rate
| PFS
| OS
| |||
|---|---|---|---|---|---|---|---|---|
| CR (%) | PR (%) | SD (%) | PFS-6 (%) | Median | Median | |||
| Friedman 2009 | GB(N= 167) | BV (n = 85) | CR + PR: 28.2 | NA | 42.6 | 4.2 | 9.2 | |
| Kreisl 2009 | GB(N = 48) | BV → BV + irinotecan | Levin criteria: 71; MacDonald criteria: 35 | NA | 29 | 3.7 | 7.2 | |
| Chamberlain 2009 | AA (N = 25) | BV | 0 | 64 | 8 | 60 | 7 | 9 |
| Raizer 2009 | GB (n = 50); | BV | GB:0 | NA | NA | 25 | 2.7 | 6.4 |
| AG (n = II) | AG:0 | NA | NA | NA | NA | NA | ||
| All: 0 | 25 | 50.8 | 31 | 3.3 | 7.1 | |||
| Chamberlain 20I0 | GB (N = 50) | BV | 0 | 42 | 0 | 42 | 1 | 8.5 |
| Vredenburgh 2007 | GB(N = 35) | BV + irinotecan | CR + PR: 57 | 24 | 46 | 5.5 | 9.7 | |
| Vandenburgh 2007 | GB (n = 23); | BV + irinotecan | GB:4.3 | 56.5 | 34.4 | 30 | 4.6 | 9.23 |
| AG (n = 9) | AG:0 | 66.7 | 33.3 | 56 | 6.9 | NA | ||
| All: 3.1 | 59.4 | 34.4 | 38 | 5.3 | NA | |||
| Norden 2008 | GB(n = 33); | BV + CT | GB:NA | NA | NA | 42 | NA | NA |
| AG (n = 21); | AG:NA | NA | NA | 32 | NA | NA | ||
| MG NOS(n= 1) | All: 2.3 | 31.8 | 29.5 | 39 | 5.5 | 8.2 | ||
| Desjardins 2008 | AA (n = 25); | BV + irinotecan | AA:NA | NA | NA | 52 | 6.5 | 15 |
| AO (n = 8) | AO:NA | NA | NA | 62 | 11.5 | 14.1 | ||
| All: 9.1 | 51.5 | 33.3 | 55 | 6.9 | 15 | |||
| Friedman 2009 | GB(N= 167) | BV + irinotecan (n = 82) | CR + PR: 37.8 | NA | 50.3 | 5.6 | 8.7 | |
| Gilbert 2009 | GB (N = 57) | BV + irinotecan | NA | NA | NA | 37 | NA | NA |
| Nghiemphu 2009 | GB(N= 123) | BV + CT (n = 44); | NA | NA | NA | BV + CT: 414.25 | 9.0 | |
| CT or other agent(s) [control] (n = 79) | Control: 18 1.82 | 6.1 | ||||||
| Narayana 2009 | GB(n = 37); | BV + irinotecan or carboplatin | All: I3.2 | 60.4 | 20.7 | 44.3 | 5 | 9 |
| AG (n = 24) | ||||||||
| Zuniga 2009 | GB(n = 37); | BV + irinotecan | GB: 5.4 | 62.2 | 16.2 | 63.7 | 7.6 | 11.5 |
| AG (n= 14) | AG: 14.3 | 64.3 | 14.3 | 78.6 | 13.4 | NA | ||
| All: CR + PR: 70.6 | 15.7 | NA | 9.5 | 13.4 | ||||
| Taillibert 2009 | Oligodendroglial tumors, grade II/III (N = 25) | BV + irinotecan | 20 | 52 | 16 | 42 | 4.6 | NA |
| Quant 2009 | GB(n = 35); | BV + CT | GB:0 | 23 | 57 | NA | NA | NA |
| AG (n= 15), MG NOS (n = 4) | AG:0 | 36 | 64 | NA | NA | NA | ||
| MG NOS: 0 | 50 | 25 | NA | NA | NA | |||
| All: 0 | 28 | 56 | 33 | 4.1 | NA | |||
| Hofer 2011 | GB(n= 176); AG (n = 49) | BV alone (45); | NA | NA | NA | NA | NA | GB:8.3 |
| BV + CT (180) | AG: 9.1 | |||||||
| All: 8.5 | ||||||||
Notes:
Median PFS and median OS that were reported in weeks were standardized to months using the following formula: weeks/52 × 12.
he response rates were calculated out of 53 evaluable patients.
No breakup was given for the two groups.
Abbreviations: AA, anaplastic astrocytoma; AG, anaplastic glioma; All: All patients with high grade glioma; AO, anaplastic oligodendroglioma; Be, bevacizumab; CR, complete response; CT, chemotherapy; GB, glioblastoma; MG NOS, malignant glioma not otherwise specified; NA, not available; OS, overall survival; PFS, progression-free survival; PFS-6, progression-free survival at 6 months; PR, partial response; SD, stable disease.
Trials with bevacizumab in newly diagnosed glioblastoma
| Study | Number of patients | Regimen | Response rate
| PFS
| OS
| |||
|---|---|---|---|---|---|---|---|---|
| CR (%) | PR (%) | SD (%) | PFS-6 (%) | Median | Median | |||
| Chauffert 2011 (TEMAVIR) | 30 | BEV + irinotecan | NA | NA | NA | 57 | NA | NA |
| Hofland 2011 | 31 | BEV + irinotecan | 0 | 19.4 | 22.6 | 55 | NA | 14.8 |
| 32 | BEV + TMZ | 0 | 31.2 | 18.7 | 56 | NA | 11.2 | |
| Lou 2011 | 41 | BEV + TMZ | 0 | 25.8 | 61.3 | NA | 5.2 | 11.7 |
| 41 | BEV + TMZ + irinotecan | 0 | 41 | 44 | NA | 6.7 | 10.5 | |
| Vredenburgh 2011 | 75 | BEV + TMZ + irinotecan | NA | NA | NA | PFS12: 62.7 | 14.2 | 21.2 |
| Lai 2011 | 70 | BEV + TMZ | NA | NA | NA | NA | 13.6 | 19.6 |
| Omuro 2011 | 40 | BEV + TMZ | 27 | 63 | 3 | NA | 11 | NA |
| Narayana 2012 | 51 | BEV + TMZ | NA | NA | NA | 85.1 | 13 | 23 |
Notes:
Median PFS and median OS that were reported in weeks were standardized to months using the following formula: weeks/52 × 12.
Results reported from an interim analysis 6 month after inclusion of the first 30 patients.
Response reported in 30 evaluable patients.
Abbreviations: BEV, bevacizumab; CR, complete response; CT, chemotherapy; NA, not available; PFS, progression-free survival; PFS6, 6-month progression-free survival; PR, partial response; SD, stable disease; TMZ, temozolomide.
Imaging criteria to assess response to therapy
| Criteria | Definition | Advantages | Limitations |
|---|---|---|---|
| MacDonald’s criteria | • Use two-dimensional measurements of enhancing tumor (the product of the maximal cross-sectional enhancing diameters) on CT or MRI scans on a single axial section | • Easy to use | • Irregular shape of GBMs makes use of largest cross sectional area inaccurate |
| • Interobserver variations are minimal | |||
| • Objective method of assessment Enable comparison in clinical trials | • Non-enhancing portions of tumor and necrotic regions may not be taken into account or measured | ||
| • Takes into account steroid use | |||
| • Takes into account neurological status of patient | |||
| • Measurements from multiple lesions are summed | • Response evaluation based on finding a difference in the largest cross-sectional area of tumor on contrast-enhanced CT or MRI is difficult with antiangiogenic therapy. | ||
| Computer-aided volumetric methods | • Semi-automated tumor-segmentation software determines tumor volume | • Increased measurement accuracy | • Requires software validation and standardization |
| • Measures both the enhancing and non-enhancing components | |||
| • Images perimeters adjusted by a neuroradiologist | • Studies need to identify inter and intraobserver variability | ||
| • Program calculates an enhancing volume, a non-enhancing volume and total lesion volume in cubic centimeters. | • Can be used to measures volumetric changes on FLAIR/T2 Wl serially to assess response to therapy and identify early progression | ||
| • Used to assess response in clinical trials | |||
| • Measurement variation is low | |||
| Response Evaluation Criteria in Solid Tumors (RECIST version 1.1) | • Longest single linear enhancing diameter across a lesion in the axial plane | • Uniform, | • Rarely used in clinical trials for GBMs |
| • Simplified, and | • Not validated in any studies | ||
| • Repeat measurements with each study | • Conservative standard to determine response to therapy for solid tumors | • One dimensional measurements inaccurate for irregular tumor shapes in GBMs | |
| • Always using longest diameter, even if it varies from the original image | |||
| • Minimal lesion diameter 10 mm | • Bran tumor trials historically use 2-dimensional measurements | ||
| • Cystic or necrotic foci of tumor and leptomeningeal lesions are non-measurable | |||
| • Multiple lesions present—individual diameter measurements recorded separately and summed for response evaluation | |||
| Response Assessment in Neuro-oncology (RANO) criteria | • Based on two- dimensional tumor measurements | • Useful in measuring response to anti-angiogenic drugs | • Tumor-related edema or ischemia, radiation effect, demyelination and infection are difficult to discern on FLAIR/T2 W1 |
| • In presence of multiple lesions, a minimum of 2 and maximum of 5 can be taken into account | |||
| • Can measure changes in tumors that do not contrast enhance | |||
| • FLAIR/T2 Wl can be used as a surrogate for response/progression in non-enhancing tumors |
Abbreviations: FLAIR, fluid attenuated inversion recovery; T2 Wl, T2 weighted magnetic resonance images; GBM, glioblastoma; CT, computerized tomography scan; MRI, magnetic resonance imaging.
Figure 1(A) Axial T1-weighted postgadolinium contrast-enhanced magnetic resonance image of a 53-year-old patient with a progressive multifocal glioblastoma revealing two lesions: one in the left cerebellar hemisphere and the other extending into the cerebellar peduncle and infiltrating the brainstem. Both the lesions have uniform contrast enhancement, along with ill-defined irregular margins. (B) Axial fluid attenuated inversion recovery images reveal a more diffuse hyperintense lesion infiltrating into the adjacent cerebellum and brainstem. The hyperintense signal crosses the midline vermis and involves the contralateral cerebellar hemisphere as well.
Figure 2(A) An axial T1-weighted postgadolinium contrast-enhanced magnetic resonance image of the same patient after bevacizumab treatment reveals a significant reduction in the size and shape of the cerebellar/brainstem contrast enhancing tumor. There is also a decrease in the adjacent mass effect with opening up of the adjacent fourth ventricle. (B) An axial fluid attenuated inversion recovery image of the patient after bevacizumab treatment reveals a significant reduction in the hyperintensity of the cerebellar and brainstem involvement. This is associated with a decrease in the adjacent mass effect and opening up of the sulci and adjacent fourth ventricle.
Advanced imaging modalities for gliomas
| Imaging modality | Technique | Advantages | Limitations |
|---|---|---|---|
| Contrast MRI | Standard T1 W1 with and without contrast; T2 W1 and FLAIR studies | • Simple | • Limited to depicting morphological abnormalities |
| • Standardized, easy to use | • Non-specific | ||
| • Early identification of edema | • Cannot assess underlying metabolic or functional integrity | ||
| • FLAIR sequences sensitive to subtle changesin soft tissue and hence possible early detectionof tumor changes and identifying leptomeningeal tumor spread | • Cannot differentiate progression from pseudoprogression | ||
| • Not useful in follow-up of HGGs treated with anti-angiogenic agents | |||
| MR perfusion | • Dynamic susceptibility contrast imaging (DSC) measures rCBV, rCBF, and MVD | • Prognostic value for standard treatment (chemotherapy and radiation) | • Accurate perfusion imaging requires significant expertise to correct for BBB leakage effects |
| • Uses MRI uses rapid echo-planar measurement of T2-weghted changes after injecting the bolus of contrast-like gadolinium | • Predictive value for response to anti-angiogenic therapy | • There is a critical need to standardize this technique to permit comparison across centers | |
| • Differentiating true progression from pseudoprogression | • Prone to susceptibility artifact and geometric distortion especially at bone-brain-air interface | ||
| • Signal drop by passage of contrast calculates rCBV and rCBF | |||
| • Comparison of spin and gradient echo DSC imagesblood vessel diameter measured Dynamic contrast-enhanced imaging (DCE) -Sorensen et al have calculated a ’vascular permeability index’ by combining the value of K-trans (rate at which contrast material moves from vasculature into the extracellular space), micro-vessel volume, and circulating collagen IV after a day of anti-VEGF therapy to predict OS and PFS | • Prognostic value for standard treatment (chemotherapy and radiation) | • Requires standardization and expertise across various centers | |
| • Susceptibility artifact remains high as in DSC imaging | |||
| • Predictive value for response to antiangiogenic therapy | |||
| DWI | Measures the diffusivity of water within brain tissue and can provide apparent diffusion coefficient maps (ADC) which correlates well with cell density and proliferation. | Help measure non-enhancing tumor and does not require the administration of contrast dye Greater the density of the structure impeding water mobility, the lower is the ADC value and hence is a noninvasive marker of cellularity. ADC values can be potentially used to determine response of tumorsto BEV, since ADCs are influenced by cellularity, necrosis and edema. | Not sensitive or specific Requires further evaluation and standardization Extreme susceptibility caused by para/ferromagnetic materials such as blood products, calcium or metal |
| MR spectroscopy | Allows for the characterization of the chemical makeup of a particular region of interest | • May be able to differentiate true progression from pseudoprogression | • Initial studies, small amounts of data |
| • Due to small voxel size, the entire tumor volume not evaluated missing important areas of tumor | |||
| • Undergoing evaluation as a possible biomarker to assess response to radiation therapy | |||
| • No characteristic correlates with tumor malignancy, | |||
| • Guiding surgical biopsy site | • Nonspecific findings are not uncommon | ||
| • Glioma grading | • Data processing is complex | ||
| PET | Coupling radioactive tracers to molecules that are taken up by metabolically active cells, PET scans can detect and localize the presence of tumors and other cells with increased metabolism. | Can be used as an early biomarker of GBM progression Early differentiation of progression from pseudoprogression | Not available at all centers Requires expertise and training to read scans Cost |
Abbreviations: MRI, magnetic resonance imaging; BEV, bevacizumab; rCBV, relative cerebral blood volume; rCBF, relative cerebral blood flow; MVD, mean vessel diameter; DWI, diffusion weighted images; ADC, apparent diffusion coefficient; DTI, diffusion tensor imaging; PET, positron emission tomography
Figure 3Mechanisms of resistance to BEV appear to be of two major types.
Notes: The first being mechanisms that develop in ECs. ECs can possess primary resistance to VEGF therapies (BEV) and not have any initial response to treatment; this may be a reason for unresponsiveness in certain patients. An alternative mechanism of EC resistance is acquired secondary to fusion with malignant cells followed by altered genetic characteristics such as chromosomal aberrations and aneuploidy, making them resistant to antiangiogenic agents. They may thus become activated via alternative pathways via ligand-independent mechanisms and by recruiting factors other than VEGF (eg, FGF and SDF-α). An alternative pathway of resistance lies with the malignant glioma cells themselves and could involve increased invasiveness, upregulation of altered p53 variants, and recruitment of pericytes, which are proangiogenic and release factors such as Ang-1. Additionally, it could involve the release of factors such as PlGF, which recruit myeloid cells. Myeloid cells produce various cytokines such as IL6 and IL8, which are proangiogenic and resistant to various antiangiogenic therapies.
Abbreviations: Ang-1, angiopoietin-1; BEV, bevacizumab; CED, cediranib; EC, endothelial cell; FGF, fibroblast growth factor; IL, interleukin; p53, protein-53; PlGF, placental-derived growth factor; SDF-α, stromal-derived factor-α; VEGF, vascular endothelial growth factor.