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Asian Pacific Journal of Cancer Prevention : APJCP logoLink to Asian Pacific Journal of Cancer Prevention : APJCP
. 2020 Aug;21(8):2287–2295. doi: 10.31557/APJCP.2020.21.8.2287

Clinicopathological Features and Prognosis of Indonesian Patients with Gliomas with IDH Mutation: Insights into Its Significance in a Southeast Asian Population

Rusdy Ghazali Malueka 1,*, Ery Kus Dwianingsih 2, Halwan Fuad Bayuangga 1, Andre Stefanus Panggabean 1, Ibnu Widya Argo 1, Aditya Dwi Donurizki 1, Sabillal Shaleh 1, Adiguno Suryo Wicaksono 3, Kusumo Dananjoyo 1, Ahmad Asmedi 1, Rachmat Andi Hartanto 3
PMCID: PMC7771930  PMID: 32856857

Abstract

Background:

Gliomas remain one of the most common primary brain tumors. Mutations in the isocitrate dehydrogenase (IDH) gene are associated with a distinct set of clinicopathological profiles. However, the distribution and significance of these mutations have never been studied in the Indonesian population. This study aimed to elucidate the association between IDH mutations and clinicopathological as well as prognostic profiles of Indonesian patients with gliomas.

Methods:

In total, 106 patients with gliomas were recruited from a tertiary academic medical center in Yogyakarta, Indonesia. Formalin-fixed paraffin-embedded and fresh tissue specimens were obtained and sectioned for hematoxylin-eosin staining and immunohistochemical examinations. Genomic DNA was isolated and analyzed for the presence of IDH mutations using standard polymerase chain reaction and nucleotide sequencing methods. Clinicopathological data were collected from medical records.

Results:

Although no IDH2 mutation was identified, IDH1 mutations were found in 23 (21.7%) of the patients. Patients with IDH1 mutations tended to have a history of smoking and a shorter interval between onset of symptoms and initial surgical interventions. Frontal lobe involvement, oligodendroglial histology, lower Ki67 expression, WHO grades II and III gliomas, and methylated O6-methylguanine-DNA methyltransferase (MGMT) promoters were significantly associated with the presence of IDH1 mutations. Compared with patients with IDH1-wild-type, patients with IDH1 mutation were observed to have a longer overall survival.

Conclusions:

IDH1 mutations are associated with certain clinicopathological and prognostic profiles in Indonesian patients with gliomas. This finding demonstrates the importance of identifying IDH mutations as part of the management of patients with glioma in Indonesia.

Key Words: IDH, glioma, clinicopathological features, prognosis, Indonesia

Introduction

Gliomas are the most common primary tumors in the central nervous system (CNS) in adults. They encompass a group of tumors that share histological features with normal glial cells, i.e., astrocytes, oligodendrocytes, and ependymal cells. The annual incidence in Caucasians and Asians has been estimated to be 6 cases per 100,000 people (Hofer et al., 2014). Among those, approximately 80% were diagnosed with malignant gliomas (Alifieris and Trafalis, 2015).

Formerly, the World Health Organization (WHO) classification of CNS tumors was based on histological and degrees of malignancy (Alentorn et al., 2015; Alifieris and Trafalis, 2015). The 2016 edition, however, has incorporated molecular parameters into the classification criteria. By integrating both genotypic and phenotypic profiling, it was hoped that it would add a level of objectivity and yield more biologically homogenous diagnostic entities. This, in turn, should lead to improved diagnostic accuracy and patient management (Louis et al., 2016).

Despite the administration of intensive therapies, the outcomes of patients with glioma, especially those with glioblastoma multiforme (GBM), remain poor. A median progression-free survival (PFS) of as short as 6.9 months and median overall survival (OS) of 14.6 months have been reported in patients with GBM even after they underwent surgery plus standard concomitant chemoradiotherapy (CCRT) (Qi et al., 2011). Therefore, a novel therapeutic strategy based on a deeper understanding of tumors’ biological characteristics is urgently needed.

One of the molecular biomarkers of significant interest for gliomas is isocitrate dehydrogenase (IDH) mutation (Yang et al., 2015). Most of the reported IDH mutations were missense heterozygous mutations at codon 132 of the IDH1 gene and codon 172 of the IDH2 gene (Turkalp et al., 2014). Approximately 90% of patients with IDH1/2 mutations carry the single nucleotide change c.395G>A in the IDH1 gene. Approximately 3% of all IDH1/2 mutations are mutations in IDH2 c.515G> A (R172K) (Horbinski et al., 2009). IDH1 R132 mutations have been found to occur in 55-80% of grade II and III oligodendrogliomas and astrocytomas. IDH1 mutations are rare in primary GBM (<10%) but are frequently observed in secondary GBM (>80%). These mutations are associated with a good prognosis (van den Bent et al., 2010; Uno et al., 2011). Mutations of the IDH2 gene are less common, with the most frequent type of tumor being oligodendroglial (Raynaud et al., 2010).

IDH gene encodes three types of IDH enzymes, namely IDH 1, 2, and 3. These enzymes convert isocitrate to alpha-ketoglutarate (α-KG) and NADPH, which normally function to protect cells against oxidative stress. IDH mutations cause failure of gene functions, leading to a decrease in α-KG production with a subsequent increase in D-2-hydroxyglutarate (D-2HG) production. D-2HG has a structure similar to α-KG and competitively inhibits the activity of various dioxygenase enzymes. This then contributes to the pathogenesis of gliomas. D-2HG is also known to induce vascular endothelial growth factor (VEGF) expression that promotes angiogenesis and tumor growth (Kloosterhof et al., 2011; Ichimura, 2012).

Studies have shown that tumors with IDH1/2 mutations have better outcomes, with a median OS of 31 months in GBM patients with these mutations as compared to 15 months in GBM patients without the mutations. In the case of anaplastic astrocytoma, the median OS in patients with IDH mutations was 65 months, while without the mutation, it was reported to be as short as 20 months (Lee et al., 2007; Fu et al., 2010; Kloosterhof et al., 2011). GBM patients with IDH1 mutations have a more favorable response to temozolomide chemotherapy than those without mutations. Thus, the presence of IDH1/2 mutations can be a useful predictor for treatment success, and the testing for these mutations has become part of standard clinical practice (Krell et al., 2013).

It is clear that the detection of IDH1/2 mutations is necessary to understand glioma pathogenesis and tailor a suitable therapy for patients. Therefore, this study aimed to elucidate the association between IDH mutations and clinicopathological as well as prognostic profiles of Indonesian patients with gliomas.

Materials and Methods

Patients and samples

The study included both retrospective and prospective samples. A total of 56 glioma samples from patients treated from 2010 to 2017 were enrolled. These samples were obtained from the tissue bank at a tertiary academic medical center (Dr. Sardjito General Hospital) in Yogyakarta, Indonesia. Additionally, 50 newly diagnosed glioma patients from October 2017 to April 2019 were recruited as prospective samples. Hematoxylin-eosin stained tissue slides were assessed by an experienced neuropathologist blinded to the IDH1/2 mutation status and classified according to the 2016 WHO classification of CNS tumors. Detailed demographic and clinical data were collected from medical records accordingly. This study was approved by the Institutional Review Board (IRB), Universitas Gadjah Mada, Indonesia. Written informed consents were obtained from patients themselves or their family members. All methods were done according to the relevant guidelines and regulations of Universitas Gadjah Mada IRB and Indonesian Ministry of Health.

DNA extraction

Genomic DNA was extracted from formalin-fixed paraffin-embedded (FFPE) and fresh tissue specimens for retrospective and prospective samples, respectively. For FFPE tissue specimens, following deparaffinization of unstained tissue sections, DNA was isolated using the QIAamp DNA FFPE Tissue Kit (QIAGEN, Cat. #56404, Hilden, Germany) according to the manufacturer’s instructions. DNA from fresh glioma tissue was extracted using the Quick DNA FFPE MiniPrep Kit (Zymo Research, USA). The NanoVue Plus spectrophotometer (GE Healthcare Life Sciences, Pittsburgh, PA, USA) was then used to assess the quantity of recovered DNA.

PCR amplification and sequencing analysis

Polymerase chain reaction (PCR) was performed to amplify the codons R132 and R172 of the exon 4 of the IDH1 and IDH2 genes, respectively. The IDH1 forward (5’-ACC AAA TGG CAC CAT ACG A-3’) and reverse (5’-GCA AAA TCA CAT TAT TGC CAA C-3’) primers generated a 130 base pair (bp) PCR product while the IDH2 forward (5’-GCT GCA GTG GGA CCA CTA TT-3’) and reverse (5’-TGT GGC CTT GTA CTG CAG AG-3’) primers generated a 293 bp PCR product (Arita et al., 2014).

PCR reactions were set at a total volume of 25 µL containing 2 µL of genomic DNA, 3.45 µL of Taq DNA Polymerase (Invitrogen, Thermo Fisher Scientific, Cat. #10342020, Waltham, MA, USA), 0.2 µL of dNTP (Thermo Scientific, Thermo Fisher Scientific, Cat. #R0191, Waltham, MA, USA), and 1 µL of each primer. The PCR was performed using Veriti Thermal Cycler (Applied Biosystem, Thermo Fisher Scientific, Cat. #4375786, Waltham, MA, USA) under the following conditions: initial denaturation at 95oC for 2 minutes followed by 40 cycles of denaturation at 95oC for 30 seconds, annealing at 53oC (IDH1) or 56oC (IDH2) for 30 seconds, and extension at 72oC for 2.5 minutes. The amplified products were then visualized using 2% agarose gel electrophoresis to confirm the presence of a single band of the predicted size. After purification with MinElute PCR Purification Kit (QIAGEN, Cat. #28004, Hilden, Germany), sequencing of the products in both sense and antisense directions was performed using the BigDye Terminator v3.1 Cycle Sequencing Kit (Applied Biosystem, Thermo Fisher Scientific, Cat. #4337455, Waltham, MA, USA). Each sample was categorically defined as positive or negative for IDH1/2 gene mutation based on the sequencing results.

Methylation-specific qRT-PCR

Bisulfite conversions of genomic DNA to convert unmethylated cytosine to uracil were performed using the EZ DNA Methylation-Gold Kit (Zymo Research Cat o. D5005 Lot No. ZRC 200814). Up to 2,000 ng of DNA was treated to obtain adequate converted DNA for MGMT promoter methylation status analysis using a quantitative real-time PCR method as described elsewhere (Rivera et al., 2010).

Immunohistochemistry

Expression of Ki67 was detected by immunohistochemistry staining using antibody for Ki-67 (SP6, rabbit monoclonal antibody, BioCare Medical, Cat. #OAI325T60, Pacheco, CA, USA). A trained pathologist blinded to the IDH1/2 mutation status examined the percentage of positively-stained tumor cells (Zhang et al., 2013).

Surveillance and follow-up

Survival data were collected in the outpatient clinic during patients’ visits, in the ward during patient hospitalization periods, and through phone call or home visit. OS was calculated as the time between the first surgical intervention and death or last follow-up (for censored cases).

Statistical analysis

The associations between IDH gene mutation and clinicopathological features were analyzed. Numerical data are presented as mean and were interpreted using T-test or Mann-Whitney test accordingly. Meanwhile, categorical variables are presented as proportions and were analyzed using Chi-square or Fisher’s exact test. Survival distributions for each group were plotted using the Kaplan-Meier method and compared statistically using the log-rank tests. The reported p values are 2-sided, and p < 0.05 was considered to be statistically significant.

Results

In total, 106 patients were included in this study. The demographic and clinical characteristics of the patients are shown in Table 1. Among 106 patients, 23 (21.7%) of them carried IDH1 mutation as shown by Sanger sequencing (Figure 1). Among this group, 22 were positive for R132H mutation, while one patient was found to harbor an R132G mutation. For further analysis, both mutations were categorized into the IDH1-mutant group. No IDH2 mutations were found. The mean age of the patients was 37.6±18.6 years old. There were 58 (54.7%) men and 48 (45.3%) women included in this study. There were no differences in mean age and sex distribution between IDH1-mutant and IDH1-wild-type groups (p>0.05). A higher proportion of patients with a history of smoking, however, was found in the IDH1-mutant compared to the IDH1-wild-type group (57.1 % vs. 23.8% respectively, p=0.022).

Table 1.

Subject Characteristics (n=106)

Variable Total IDH1-wild-type IDH1-mutant P-value
Number of patients, n (%) 106 (100) 83 (78.3) 23 (21.7)
Mean age, years (SD) 37.6 (18.6) 37.1 (20.1) 39.3 (12.1) 0.768#
Sex, n (%)
Male 58 (54.7) 43 (51.8) 15 (65.2) 0.253
Female 48 (45.3) 40 (48.2) 8 (34.8)
A history of smoking, n (%)
Yes 23 (29.9) 15 (23.8) 8 (57.1) 0.022##
No 54 (70.1) 48 (76.2) 6 (42.9)
Karnofsky Performance Scale pre-surgery (n=85), mean ± SD 53.2 (18.1) 52.9 (18.3) 54.7 (17.7) 0.755#
Reported symptom of seizure, n (%)
Yes 25 (29.8) 18 (26.5) 7 (43.8) 0.226##
No 59 (70.2) 50 (73.5) 9 (56.2)
Tumor location (include this lobe/not)
Frontal 26/52 17/45 9/7 0.029
Temporal 36/42 27/35 9/7 0.364
Parietal 32/46 25/37 7/9 0.804
Occipital 7/71 6/56 1/15 1##
Others 16/62 15/47 1/15 0.169##
Histological type, n (%)
astrocytic 85 (80.2) 71 (85.5) 14 (62.5) <0.001##
mixed (oligoastroglial) 5 (4.7) 2 (2.4) 3 (12.5)
oligodendroglial 8 (7.55) 2 (2.4) 6 (25)
ependymal 8 (7.55) 8 (9.6) 0 (0)
Grade, n (%)
Grade I 10 (9.4) 9 (10.8) 1 (4.4) 0.091##
Grade II 36 (34) 23 (27.7) 13 (56.5)
Grade III 17 (16) 14 (16.9) 3 (13)
Grade IV 43 (40.6) 37 (44.6) 6 (26.1)
Combined grade, n (%)
Grade I & IV 54 (50.9) 47 (56.6) 7 (30.4) 0.026
Grade II & III 52 (49.1) 36 (43.4) 16 (69.6)
Ki67, mean (SD), n=93 13.4 (13.3) 14.99 (13.97) 7.7 (8.99) 0.027#
MGMT promoter methylation, n (%)
Methylated 12 (25) 7 (18) 5 (55.6) 0.032##
Unmethylated 36 (75) 32 (82) 4 (44.4)
Interval between onset of symptoms to initial surgical interventions, months (SD) (n=84) 6.4 (10.1) 4.64 (6.8) 13.3 (16.6) 0.025#
Median overall survival, month (SD) (n=80) 23.8 (8.4) 10.5 (3.3) 42.4 (10.1) 0.016###
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#, Mann-Whitney U test, ##, Fisher’s exact test, ###, Kaplan-Meier with log-rank test, Chi-square tests were performed for the rest of the analyses

Figure 1.

Figure 1

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Nucleotide Sequencing Results Showing Wild-Type (A) and Mutant (B) IDH1 Genes

The mean Karnofsky Performance Status (KPS) scale before surgery was 53.2±18.1. The IDH1-mutant and wild-type groups had similar KPS on admission (54.7±17.7 vs. 52.9±18.3, respectively, p=0.755). About 30% of the patients reported a symptom of seizures. There was no association between the occurrence of seizures and IDH1 mutation (p=0.226).

A significant association was found between IDH1 mutation and tumor location. Patients with IDH1 mutations had a higher proportion of frontal lobe involvement as compared to wild-type patients (56.25% vs. 27.4 % respectively, p=0.029).

IDH1 mutations were also shown to be significantly associated with histological subtypes of glioma (p<0.001). Our study showed that 16.5% of astrocytomas harbored IDH1 mutation. This frequency was much lower compared to oligoastrocytomas (60%) and oligodendrogliomas (75%). No patient with ependymoma was positive for this mutation.

According to the degree of malignancy, the most commonly found glioma in decreasing order of frequency was grade IV (40.6%), followed by grade II (34%), grade III (16%), and grade I (9.4%). Most of the IDH1 mutations were found in grade II gliomas (56.5%). Percentages of samples with IDH1 mutation were 36.1% in grade II glioma, 17.7% in grade III glioma, 14% in grade IV glioma, and 10% in grade I glioma. As much as 30.8% of grades II and III glioma harbor IDH1 mutation compared to 13% in the grades I and IV glioma group. In total, grades II and III gliomas accounted for 69.6% of IDH1 mutations. This was significantly higher than the proportion of mutation in grades I and IV (p=0.026). Expression of Ki67 was found to be significantly higher in the IDH1-wild-type group compared to the IDH1-mutant group (p=0.027).

Due to the limited quantity of retrospective samples, MGMT methylation analysis was performed in prospective samples only. Two samples were excluded from further analyses as they did not allow for adequate interpretation of methylation-specific qPCR results. Among 48 samples analyzed, 12 (25%) of them showed methylation in MGMT promoters (Figure 2). IDH1-mutants showed a significantly higher proportion of MGMT methylation compared to the wild-type group (55.6% vs 18%, p=0.032).

Figure 2.

Figure 2

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qRT-PCR Showing the Amplification of Methylated MGMT Promoter (Green curve), Unmethylated MGMT Promoter (Blue Curve), and a COL2A1 Control (Red Curve). Examples of a glioma sample with (A) and without (B) MGMT promoter methylation

Patients without IDH mutations had a significantly shorter interval between onset of symptoms and initial surgical interventions compared to the patients carrying the mutation (mean 4.64±6.8 months vs. 13.3±16.6 months, p=0.025). Kaplan-Meier survival analysis demonstrated that patients with IDH1 mutations had a longer OS compared to those in the wild-type group (median OS 42.4±10.1 vs. 10.5±3.3 months) (Figure 3). A significant p-value of 0.016 for the difference in OS was obtained through log-rank tests.

Figure 3.

Figure 3

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Kaplan-Meier Survival Analysis Demonstrating that IDH1-mutant Glioma Patients (Straight Line) had a Significantly Longer Overall Survival (p = 0.016; log-rank test).

Discussion

Our study showed that 21.7% of glioma patients harbored IDH1 mutations. Previous studies in Asian populations revealed the frequency of IDH1 mutations in Asian patients to range from as low as 7.8% in Japan to 74% in China (Yusoff et al., 2016). The studies were performed in the East and South Asian populations. A previous study in Southeast Asia was performed in Malaysia, showing the incidence of IDH1 mutation at 35% (Yusoff et al., 2016). Their study, however, included all types of brain tumors, including meningioma and medulloblastoma. To our knowledge, our study is the first study to identify the incidence of IDH1 mutation in glioma and the association with clinicopathological profiles in a Southeast Asian population.

Our study did not find any significant associations between IDH1 mutation and sex as well as age at the time of diagnosis. These findings were consistent with independent studies that also did not see any difference in relation to sex (Yan et al., 2012; Zhang et al., 2013; Yusoff et al., 2016). However, other studies showed that this mutation was associated with the age at diagnosis (Qi et al., 2014; Ohno et al., 2016). Patients with IDH1 mutated glioma were reported to be younger than patients with wild-type IDH1 gene (Yan et al., 2009, 2012; Molenaar et al., 2014; Qi et al., 2014; Ohno et al., 2016). The disagreement in this regard may be due to the mixture of different tumor types in the IDH1-wild-type group in our study. Presumably, the number of patients with IDH1-wild-type tumors with younger average age (i.e., pilocytic astrocytoma, ependymoma) was higher than that of those with primary GBM, thus lowering the total average age in this group.

Interestingly, our study found a significant association between IDH1 mutation and smoking. Patients with IDH1 mutation have a higher proportion of smokers compared to the group without the mutation (57.1% vs. 23.8% respectively, p=0.022). A previous study in patients with myelodysplastic syndromes (MDS) and chronic myelomonocytic leukemia (CMML) showed that smoking more than two packs per day or smoking for more than 40 years were associated with IDH1 mutations (Madanat et al., 2017). IDH1/2 mutations have also been associated with extensive smoking history in patients with lung adenocarcinoma (Toth et al., 2018). In the case of glioma, previous studies have failed to show an association between glioma risk and smoking status, intensity, duration, or age at smoking initiation (Holick et al., 2007). A meta-analysis of 24 cohort or case-control studies also revealed that cigarette smoking is not significantly associated with adult glioma in the overall population. They did find a small but statistically significant association in female smokers (Li et al., 2016). A more recent study from Korea, however, reported that current smokers had a higher risk to have malignant glioma compared to those who never smoked (Ahn et al., 2020). Several mechanisms have been proposed to explain this association. Smoking may induce multiple distinct mutational signatures, including IDH mutation, in tissues directly and indirectly exposed to smoking (Ahn et al., 2020; Madanat et al., 2017). Nicotine has also been shown to enhance the proliferation and migration of human glioma cells. Recently, the role of cigarette smoking in breaching the blood-brain barrier via the impairment of endothelial tight junctions has also been shown, possibly facilitating penetration of environmental carcinogens to the brain (Ahn et al., 2020). To the best of our knowledge, our study is the first study showing an association between IDH1 mutation and smoking in patients with glioma. The fact that patients with IDH1 mutation are more likely to be smokers can provide insight into the role of smoking in glioma formation, as IDH1 mutation is a frequent, likely early event in gliomagenesis (Turkalp et al., 2014). The role of smoking in inducing IDH mutation, and the mechanisms behind it, require further study.

This study did not show a significant difference in Karnofsky Performance Status (KPS) score on admission (before surgery). This agrees with previous studies, which also did not find a significant association between IDH mutation and KPS score (Qi et al., 2014). Previous studies have shown that IDH1 mutation is independently associated with preoperative seizures (Chen et al., 2017; Li et al., 2018). The D-2-hydroxyglutarate (D2HG) product of mutant IDH1 has a similar chemical structure to glutamate, an excitatory neurotransmitter. D2HG is released by tumor cells into the microenvironment, activating neuronal NMDA receptors, therefore increasing neuronal activity. This leads to glioma-related epilepsy (Chen et al., 2017; Li et al., 2018). This association has been particularly shown in lower-grade glioma. However, the result for higher grade glioma has been inconsistent. Chen (2017) showed that the relationship between IDH1 mutations and seizures did not depend on the grade of the glioma. Other studies have shown this association in GBM, but not in anaplastic glioma (Yang et al., 2014; Toledo et al., 2017; Li et al., 2018). Our study, which included glioma from all grades, did not show an association between seizures and IDH1 mutation.

This study showed that IDH1 mutation is associated with the location of the tumor. IDH1 mutated tumors were more frequently located in the frontal lobe (p=0.026). This is in accordance with previous reports, which also showed a higher proportion of frontal lobe tumor location in patients with IDH1 mutation (Yan et al., 2012; Zhang et al., 2013; Qi et al., 2014). The underlying mechanisms of this association need further investigation.

Our study showed that 16.5% of astrocytoma harbor IDH1 mutation. This is much lower compared to the frequency of this mutation in oligoastrocytomas (60%) and in oligodendrogliomas (75%). No patients with ependymoma showed this mutation. Previous studies have indeed shown the association of IDH1 mutation with histology and grading of gliomas (Yan et al., 2009; Qi et al., 2014; Yusoff et al., 2016; Wang et al., 2016; Deng et al., 2018). The percentage of oligodendroglioma samples with IDH1 mutation in our study is quite similar to those in previous studies (Mukasa et al., 2012; Senhaji et al., 2016; Wang et al., 2016). However, the percentage of mutations in the astrocytoma group in our study (16.5%) is much lower compared to the previous study in China (60.6%) (Wang et al., 2016) and in Morocco (63.2%) (Senhaji et al., 2016).

This study showed that IDH1 mutations were found more commonly in grades II and III of glioma. In this study, 30.8% of grades II and III gliomas harbor IDH1 mutation compared to 13% in the grades I and IV glioma group. This number, however, is smaller compared to that in the previous study. IDH1 R132 mutation is reported to occur in 55-80% of grades II and III oligodendrogliomas and astrocytomas (Van den Bent et al., 2010; Uno et al., 2011a). A study in Japan showed that IDH1 mutation was found in 10% of GBM (Grade IV), 28% of anaplastic astrocytoma (grade III), and 59% of diffuse astrocytoma (grade II) (Mukasa et al., 2012). A study in India also showed that the highest percentage of IDH1 mutation cases was seen in grade II diffuse astrocytoma (70%), compared to grade III anaplastic astrocytoma (33.33%), grade IV glioblastoma multiforme (GBM) (13.04%), grade II oligoastrocytoma (50%), anaplastic oligoastrocytoma (66.67%), and oligodendroglioma grade II (70%) (Devi et al., 2018). Similar data from Europe revealed that 72.7% of diffuse astrocytomas (WHO grade II) harbor IDH1 mutation, 64.0% in anaplastic astrocytomas WHO grade III, 82.0% in oligodendrogliomas WHO grade II, 69.5% in anaplastic oligodendrogliomas WHO grade III, 81.6% in oligoastrocytomas WHO grade II, and 66.1% in anaplastic oligoastrocytomas WHO grade III (Hartmann et al., 2009). A study in a southeast Asian population, however, showed that GBM WHO grade IV harbors the highest percentage of mutation (64.3%), followed by grade III anaplastic ependymoma (14.3%), grade III anaplastic oligodendroglioma (14.3%), and grade II astrocytoma (7.14%). That study, however, had a small number of samples, especially in grade II (4 samples) and grade III (5 samples) (Yusoff et al., 2016).

Our study showed that IDH1 mutation was associated with lower expression of Ki-67. This is in line with a previous study in 118 patients with primary GBM from China (Yan et al., 2012). This association has been proposed to be caused by the low proliferation rate accompanying IDH1 mutation (Yan et al., 2012). This association may need further investigation.

A previous study has shown that IDH1 mutation is associated with methylated MGMT promoter (Yan et al., 2012). Our study showed a similar result with IDH1 mutation detected in 41.7% of methylated MGMT, compared to 11.1 % in the unmethylated group (p=0.032). In our study, glioma with IDH1 mutation showed a higher MGMT promoter methylation compared to glioma without this mutation (55.6% vs. 18%, p=0.032). The role of IDH1 mutation in oncogenesis has been suggested to be caused by the involvement of this mutation in the inactivation of tumor suppressor genes through promoter hypermethylation (Yan et al., 2012).

Our study showed that patients without IDH1 mutation have a significantly shorter duration between onset and initial surgery compared to the patients with the mutation (mean 4.64±6.8 months vs. 13.3±16.6 months, p=0.025). A similar result was reported previously (Nobusawa et al., 2009), showing that the mean time from first clinical symptom to the diagnosis of GBM is significantly longer in patients with IDH1 mutation (15.2 months vs. 3.9 months). This association has been proposed to be caused by the low proliferation rate accompanying IDH1 mutation. Another study, however, did not observe a difference in interval between initial symptom and surgery between GBM with and without IDH1 mutation (Ohno et al., 2016). The authors suggested that the result indicated that the proliferation rate of IDH1 mutated glioma is not different from that of IDH1 wild type GBM (Ohno et al., 2016). Further studies need to be performed to clarify this issue.

Our study showed that patients with IDH1 mutation have a better prognosis. Median OS of IDH1 mutated group was 42.4 months, much longer compared to IDH1 wild type group at 10.5 months (p=0.016). This agrees with previous studies, which show a clear association between IDH1 mutation and favorable clinical outcome (van den Bent et al., 2010; Qi et al., 2011; SongTao et al., 2012; Yan et al., 2012; Wang et al., 2014; Yang et al., 2015). IDH1 mutation has been shown to be associated with better OS in grade III anaplastic oligodendroglioma and anaplastic oligoastrocytoma (van den Bent et al., 2010; Wang et al., 2014), grade IV glioblastoma (SongTao et al., 2012; Yan et al., 2012), grade I glioma (Qi et al., 2011), and grade II glioma (Wang et al., 2014). Some researchers have postulated that increased survival in patients with low-grade glioma with IDH mutations is an indication of the influence of IDH mutations in response to chemotherapy, not different biological behaviors (Turkalp et al., 2014). Some researchers hypothesize that IDH1/2 mutations consume NADPH and alpha-ketoglutarate, which, in normal conditions, prevent cells from experiencing oxidative stress, thereby increasing sensitivity to radiotherapy (Lee et al., 2007; Fu et al., 2010; Kloosterhof et al., 2011). Zhu (2011) reported that the presence of IDH mutations might provide a protective mechanism in glioma patients by interfering with tumor cell metabolism, making them susceptible to cell death. Indeed, previous studies have shown that gliomas with IDH1 mutation had a better response to treatment with chemotherapeutic agent temozolomide (Houillier et al., 2010; Hartmann et al., 2011; Kim and Liau, 2012; SongTao et al., 2012; Yang et al., 2015), indicating the role of IDH1 mutation as a predictive marker. However, several studies also showed improved prognosis regardless of chemotherapy, indicating the role of IDH1 mutation as a prognostic factor (Van den Bent et al., 2010; Yan et al., 2012; Wang et al., 2014). A study in China reported that IDH mutation has prognostic significance with more prolonged survival in the IDH mutant group. However, they reported that the mutation could not predict a better response to concomitant chemoradiotherapy in anaplastic glioma (Qi et al., 2011). Further studies need to be performed to elaborate more about this point.

In conclusion, our study in Indonesian patients with glioma showed that 21.7% of patients with glioma harbor IDH1 mutations, but no IDH2 mutations. IDH1 mutation is significantly associated with smoking, frontal lobe involvement, oligodendroglial histology, grades II and III tumors, lower Ki67 expression, methylation of MGMT promoter, shorter interval between onset of symptoms and initial surgical interventions, and longer OS. These results suggest that identification of IDH1 mutations is an important step in the management of patients with glioma in Indonesia, and should be incorporated in daily clinical practice. Further studies need to be done to elaborate more about the role of IDH mutations, including its role in determining patient’s response to treatment such as chemotherapy.

Acknowledgments

This research was supported by the PDUPT Grant from Indonesian Ministry of Research and Higher Education number 2613/UN1.DITLIT/DIT-LIT/LT/2019 to R.G.M, and the Teuku Jacob Fellowship Grant from the Faculty of Medicine, Public Health, and Nursing, Universitas Gadjah Mada to R.G.M.

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