Although the standard treatment for malignant gliomas is the combination of maximal resection followed by radiation therapy and adjuvant chemotherapy (temozolomide)1, their prognosis remains unfavorable. Maximal resection is the most important factor for improving the survival rate2-4, patients who underwent complete resection benefited more from temozolomide than did patients treated by incomplete resection.5
According to the 2016 WHO classification, the genetic profile,
A naturally occurring intermediary in the heme synthetic pathway, 5-aminolevulinic acid (5-ALA)9, is used for the intraoperative visualization of malignant gliomas. After its administration as a prodrug, it is metabolized at the tissue level to the active compound, protoporphyrin IX (PPIX), which is responsible for
In contrast, it has been reported that 5-ALA-induced fluorescence is associated with contrast enhancement on preoperative MRI scans13, a high-grade WHO classification14-16, high tumor cellularity17-19, an increased MIB-1 labeling index12,15,19, and a high tumor burden.13 Factors that account for the difference in the level of fluorescence in individual tumors remain to be clearly identified.
The aim of this study was to identify the factor(s), including MRI observations and genetic factors, with the greatest influence on intraoperative 5-ALA-induced fluorescence in patients with diffuse gliomas.
The Research Ethics Committee of the Faculty of Medicine, University of Miyazaki, approved this study; prior informed consent for inclusion in the study was obtained from all patients. They underwent tumor removal at Miyazaki University Hospital during the period from January 2014 to December 2015. We collected 71 consecutive glioma patients. Our inclusion criteria were surgery under 5-ALA-induced fluorescence guidance, a preoperative MRI evaluation, and a histological diagnosis of astrocytic or oligodendroglial tumors based on the WHO 2007 classification.20 Excluded were patients with WHO grade I tumors and/or needle biopsy only. In patients who had undergone surgical resection more than once during the period, data from the first resection were used. Of the 71 patients, 60 (35 men, 25 women; age range 6-80 years, mean age 60.7 years) with astrocytic or oligodendroglial tumors fulfilled our selection criteria; 54 (90.0%) harbored newly diagnosed gliomas. The patient characteristics, histological diagnosis, and tumor location are shown in Table 1. Of the included patients, 35 (58.3%) had WHO grade IV, 17 (28.3%) WHO grade III, and 8 (13.3%) had WHO grade II gliomas. The tumor location was the frontal lobe (22 patients, 36.7%), followed by the temporal lobe (9 patients, 15.0%). In 8 patients (13.3%) the tumor was centrally located in the basal ganglion, corpus callosum, and brain stem; none of the tumors were occipital.
Clinical characteristics of 60 patients with diffuse gliomas
Characteristics | No. of Patients (%) |
---|---|
Number of patients | 60 (100) |
Sex | |
Male | 35 (58.3) |
Female | 25 (41.7) |
Age (yrs) | |
Average ± SD | 60.7 ± 15.4 |
Median | 62.5 |
Range | 6 - 80 |
Tumor grades and subtypes (WHO 2007) | |
Astrocytoma | 2 (3.3) |
Oligoastrocytoma | 3 (5.0) |
Oligodendroglioma | 3 (5.0) |
Anaplastic astrocytoma | 2 (3.3) |
Anaplastic oligoastrocytoma | 3 (5.0) |
Anaplastic oligodendroglioma | 12 (20.0) |
Localization | |
Frontal | 22 (36.7) |
Fronto-temporal | 2 (3.3) |
Temporal | 9 (15.0) |
Temporo-parietal | 5 (8.3) |
Temporal & insular | 2 (3.3) |
Parietal | 4 (6.7) |
Parieto-occipital | 2 (3.3) |
Occipital | 0 (0) |
Insular | 4 (6.7) |
Central | 8 (13.3) |
Cerebellar | 2 (3.3) |
Tumor Status | |
Primary | 54 (90.0) |
Recurrence | 6 (10.0) |
All preoperative MRI studies were performed within a week before surgery on a 3 Tesla scanner (Magnetom Verio; Siemens, Erlangen, Germany). T1- and T2-weighted- (T1W, T2W), and contrast-enhanced T1W axial images were used for analysis. The images were assessed consensually by two neuroradiologists blinded to the genotype and the 5-ALA-induced fluorescence of each lesion. They used methods described elsewhere21 to qualitatively assess the following findings: a sharp or indistinct tumor border, homogeneous or heterogeneous signal intensity throughout the tumor on T1W and T2W images, and the presence or absence of contrast enhancement on contrast-enhanced T1W images (Figure 1). Identification of the predominant characteristics of individual tumors was based on the readers’ judgment of the tumor border and signal heterogeneity.
5-ALA (20 mg/kg) was orally administered 3 hours before surgery. For the operation we used an OPMI Pentero instrument (Zeiss, Oberkochen, Germany) equipped with BLUE 400 for visualizing fluorescence and for neuro-navigation. All resections were performed with navigational guidance using contrast-enhanced axial, coronal, and sagittal T1W- or fluid-attenuated inversion recovery (FLAIR) images. The targets for tissue sampling were selected by choosing contrast-enhanced lesions and neuronavigation, or the tumor center of high-intensity lesions on FLAIR images. Fluorescence was checked repeatedly under our modified neurosurgical microscope by switching between white- and blue-violet excitation light in different areas of the lesion during each procedure. Fluorescence was categorized subjectively by two operating surgeons; a 3rd surgeon confirmed their judgment by reviewing a movie obtained intraoperatively. Fluorescence was categorized as non-visible (negative) and visible (positive).19,22 Positive fluorescence included mild (pink) and robust brightness (lava-like orange)18(Figure 2).
To diagnose the tumors histopathologically, neuropathologists used the 2007 WHO classification of central nervous system tumors.20 They were blinded to intraoperative 5-ALA fluorescence. Tumor cell proliferation was assessed immunohistochemically using MIB-1 antibody (anti-Ki-67, 1:50; DAKO, Hamburg, Germany). The highest density of Ki-67 immunopositive cells was evaluated in hot spots. The percentage of immunolabeled tumor cell nuclei was expressed as the MIB-1 labeling index.
IDH1 mutation was confirmed by immunohistochemical analysis using R132H antibody23 or by direct sequencing. Immunostaining was according to the manufacturer’s protocol. Briefly, formalin-fixed paraffin-embedded tissue was sliced into 2-μm sections and dried at 42
Direct DNA sequencing was as previously described.23,24 IDH1 genomic DNA was isolated from frozen tissue samples with a QIAamp DNA Mini Kit (QIAGEN, Tokyo, Japan). A spanning 90-base pair (bp) fragment was identified with the sense primer IDH1 (forward: 5’-GGCTTGTGAGTGGATGGGTA-3’) and the antisense primer IDH (reverse: 5’-GCAAAATCACATTATTGCCAAC-3’). The 25-μl reaction mixture contained 50 ng of tumor genomic DNA, 1 μl of each forward and reverse primer (10 μM), 12.5 μl of GoTaq Hot Start Green Master Mix (Promega K.K., Tokyo, Japan), and an amount of deionized water to obtain a total volume of 25 μl. Genomic DNA was subjected to polymerase chain reaction (PCR) amplification, initial denaturation at 95
The sequence reactions were performed by using a Big Dye Terminator v1.1 Cycle Sequencing Kit (Thermo Fisher Scientific K.K., Yokohama, Japan) in a 20-μl reaction mixture comprised of 1 μl of the 100-bp PCR products, 4 μl of PCR buffer, 2 μl of the forward primer (5 μM), 12 μl of deionized water and 1 μl of Big Dye Terminator Ready Reaction Mix. Initial denaturation was performed at 96
FISH analysis of 1p19q loss of heterozygosity (LOH) was performed on formalin-fixed paraffin-embedded 5-μm tissues25 prepared for dual-probe hybridization with Vysis LSI FISH Probe according to the manufacturer’s instructions (Abbott Japan Co. Ltd.). 1p36/1q25 and 19q13/19p13 dual-color probe sets were used for locus-specific 1p and 19q analysis, respectively, following the manufacturer’s instructions (Abbott Japan). Nuclei were counterstained with 4,6-diamidino-2 phenylindole (DAPI).
Analysis of the methylation status of the MGMT promoter was performed by bisulfite modification and subsequent methylation-specific PCR assay using previously described primers.8 The primer sequences for the unmethylated reaction were forward: 5’-TTTGTGTTTTGATGTTTGTAGGTTTTGT-3’ and reverse: 5’-AACTCCACACTCTTCCAAAAA CAAAACA-3’. Sequences for the methylated reaction were forward: 5’-TTTCGACGTTCGTAGG TTTTCGC-3’ and reverse: 5’-GCACTCTTCCG AAAACGAAACG-3’. The PCR conditions were 35 cycles of 30 sec each at 95
All numeric data were reported as the mean ± standard deviation. The positive predictive value (PPV) of 5-ALA fluorescence for high-grade gliomas was calculated as the number of 5-ALA fluorescence-positive high grade gliomas / number of all 5-ALA fluorescence-positive tumors. Its negative predictive value (NPV) was calculated as the number of 5-ALA fluorescence-negative low-grade gliomas (WHO grade II) / number of all 5-ALA fluorescence-negative tumors. The diagnostic accuracy of 5-ALA fluorescence for high-grade gliomas was calculated as the number of 5-ALA fluorescence-positive high-grade gliomas plus the number of 5-ALA fluorescence-negative low grade gliomas / the number of all tumors.
Univariate and multivariate logistic regression analyses were used to identify clinical characteristics and genetic- and imaging features associated with the 5-ALA-induced fluorescence of the lesions. Univariate analysis was with the χ2-, the Fisher exact-, or the Student
Among the 60 tumors, 42 (70%) were 5-ALA fluorescence-positive; the others were negative. Of the 8 WHO grade II gliomas, 2 were positive, as were 9 of 17 (53%) WHO grade III and 31 (89%) of 35 grade IV gliomas (Table 2). For high-grade gliomas, the PPV of 5-ALA fluorescence was 95.2%; the NPV was 33.3%, and diagnostic accuracy was 76.7%.
5-aminolevulinic acid-induced fluorescence (5-ALA) in 60 diffuse gliomas
5-ALA fluorescence | WHO grade II | WHO grade III | WHO grade IV |
---|---|---|---|
Positive | 2/8 (25 %) | 9/17 (53 %) | 31/35 (89%) |
Negative | 6/8 (75 %) | 8/17 (47 %) | 4/35 (11%) |
As shown in Table 3, among the 60 diffuse gliomas, 13 (22%) harbored IDH1 mutations. These were more often seen in grade II (4/8, 50%) and grade III gliomas (7/17, 41%) than in glioblastomas (2/35, 6%). Of the 13 tumors with IDH1 mutations, 2 (15%) manifested visible fluorescence, the other 11 did not.
Relationsh ip between 5-aminolevulinic acid-induced fluorescence (5-ALA) status and clinical-pathologic features
Clinical-pathologic features | Patients with visible fluorescence (n=42) | Patients with no visible fluorescence (n=18) | P value | χ2, Fisher, or Student t test |
---|---|---|---|---|
Age (years) | ||||
Average ± SD | 62.4 ± 16.4 | 56.7 ± 12.5 | 0.16 | - |
IDH1 mutation | <0.001 | 23.57 | ||
Positive | 2 | 11 | ||
Negative | 40 | 7 | ||
1p19q LOH | 0.003 | 10.22 | ||
Positive | 5 | 9 | ||
Negative | 37 | 9 | ||
MGMT methylation | 0.05 | 4.35 | ||
Positive | 18 | 13 | ||
Negative | 24 | 5 | ||
MIB1 LI (%) | ||||
Average ± SD | 38.5 ± 20.7 | 20.2 ± 22.8 | 0.007 | - |
Tumor margin | 0.046 | 4.88 | ||
Irregular | 27 | 6 | ||
Smooth | 15 | 12 | ||
T2 Heterogeneity | 0.021 | 6.48 | ||
Homo | 2 | 5 | ||
Hetero | 40 | 13 | ||
Contrast enhancement | 0.002 | 11.71 | ||
Positive | 41 | 12 | ||
Negative | 1 | 6 |
Univariate analysis revealed a statistically significant association between 5-ALA fluorescence and the IDH1 status (mutated, non-mutated), 1p19q LOH, MIB-1, and the margin, heterogeneity, and contrast enhancement of the tumors (p < 0.001, p = 0.003, p = 0.007, p = 0.046, p = 0.021, and p = 0.002, respectively); neither the patient age nor the MGMT methylation status was significantly associated. Multivariate analysis showed that the IDH1 status was the only independent, statistically significant factor related to 5-ALA fluorescence (p = 0.009) (Table 4). Using tissue samples with nonvisible fluorescence as the reference, we found that the OR (95% CI) for IDH1 wild type was 19.238 (1.39, 175.39). No other factors had a significant effect on 5-ALA fluorescence.
Multivariate analysis of significant factors from univariate analysis
Factor | P Value | Odds ratio | 95% confidence interval |
---|---|---|---|
IDH1 wild type | 0.009 | 19.238 | 1.39, 175.39 |
1p19q LOH | 0.198 | 0.301 | 0.05, 1.87 |
MIB-1 labeling index | 0.157 | 1.033 | 0.99, 1.08 |
Tumor margin | 0.743 | 0.720 | 0.10, 5.15 |
T2 heterogeneity | 0.470 | 2.763 | 0.18, 43.44 |
Contrast enhancement | 0.345 | 4.107 | 0.22, 77.32 |
In this study, we analyzed factors that influence the intraoperative visualization of gliomas by their 5-ALA-induced fluorescence. Our results demonstrate that the IDH1 status was the only independent, statistically significant factor related to 5-ALA fluorescence.
As in an earlier study15, significantly more high- than low-grade gliomas exhibited 5-ALA fluorescence. Others12,15,18,27 reported that MIB-1, an indicator of proliferation activity, and 5-ALA fluorescence were positively correlated. Widhalm
Yang
The increased production of reactive oxygen species (ROS) was suggested to be implicated in human glioma tumorigenesis.31 However, in embryonic brain cells from IDH1-mutant mice, intracellular ROS levels were dramatically reduced and the NADP+/NADPH ratio and catalase activity were increased.32 We hypothesize that the acquisition of IDH1 mutations by low-grade gliomas upgrades their cell protection from oxidative injury. For example, heme oxygenase-1 (HO-1), one of the most important molecules affording protection against oxidative stress33, is a microsomal and mitochondrial enzyme.34 HO-1 catalyzes the oxidation of heme to biologically harmless products,
Although our study population was small, 22% of our 60 patients manifested IDH1 mutations. As in earlier studies7,37,38, the incidence of the IDH1 mutation was highest in patients with WHO grade II gliomas. While there might be a difference in the frequency of IDH1 mutations between the Japanese and other populations, of our 8 WHO grade II gliomas, 75% were 5-ALA fluorescence-negative, a finding similar to that reported by others.11,19 Interestingly, in both patients with 5-ALA fluorescence-positive grade II gliomas, IDH1 was wild-type. One of the patients died as a result of malignant transformation 24 months after the operation. Ballester
The PPV value of fluorescence as an indicator of high-grade gliomas was very high although the NPV was only 33%. Therefore, the possibility of high-grade glioma in the absence of intraoperative 5-ALA fluorescence cannot be excluded.
The IDH1 mutation status of diffuse gliomas is important as the mutation played a strong role in the intraoperative absence of 5-ALA fluorescence. The ability to identify the IDH1 status intraoperatively based on the presence or absence of fluorescence of tumor tissue may be useful for determining the appropriate degree of resection.
Our study has some limitations. First, as our study population was relatively small, our findings warrant validation studies in larger cohorts. Second, fluorescence was evaluated qualitatively and subjectively by experienced surgeons and quantitative assessment may yield more objective results.
Our study identified the IDH1 status as the only independent, statistically significant factor related to 5-ALA fluorescence. Further studies in a large population are required to clarify the association between the genetic status and the intraoperative 5-ALA-induced fluorescence of diffuse gliomas.