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Article

Human Cytomegalovirus and Isocitrate Dehydrogenase Status in Glioma: Association and Prognosis Value in Moroccan Population

by
Coumba Fall
1,
Mohammed Chaoui El Faiz
2,
Nawal Hammass
3,
Hinde El Fatemi
3,
Khalid Hassouni
4,
Laila Bouguenouch
5,
Samira El Fakir
6 and
Bahia Bennani
1,*
1
Laboratory of Human Pathology, Biomedicine and Environment, Faculty of Medicine and Pharmacy Fez, Sidi Mohammed Ben Abdellah University, Sidi Harazem Road, Fez 30070, Morocco
2
Department of Neurosurgery, Hassan II University Hospital Center, Sidi Harazem Road, Fez 30070, Morocco
3
Department of Anatomopathology, Hassan II University Hospital Center, Sidi Harazem Road, Fez 30070, Morocco
4
Department of Radiotherapy, Hassan II University Hospital Center, Sidi Harazem Road, Fez 30070, Morocco
5
Department of Genetic, Hassan II University hospital Center, Sidi Harazem Road, Fez 30070, Morocco
6
Department of Epidemiology, Faculty of Medicine and Pharmacy Fez, Sidi Mohammed Ben Abdellah University, Sidi Harazem Road, Fez, 30070, Morocco
*
Author to whom correspondence should be addressed.
Germs 2022, 12(1), 32-45; https://doi.org/10.18683/germs.2022.1304
Submission received: 22 June 2021 / Revised: 28 November 2021 / Accepted: 8 January 2022 / Published: 31 March 2022

Abstract

Introduction: Human cytomegalovirus (HCMV) and isocitrate dehydrogenase (IDH) have been separately associated to gliomas. IDH is a molecular marker considered in the histo-molecular classification of gliomas as well as in their management and prognosis. However, even if oncomodulatory properties were attributed to HCMV, its association to gliomas remains a controversy. Most of the studies that investigated this association used the histological classification of gliomas; nevertheless, in 2016, the World Health Organization recommended the introduction of molecular characteristics to refine this classification. The aims of this study were to determine the prevalence of HCMV in glioma patients, the association between HCMV and IDH with gliomas and subsequently their associations with survival of patients in a Moroccan cohort. Methods: A series of 102 gliomas and 32 controls were analyzed by nested PCR (nPCR) to determine the HCMV status. PCR and sequencing were used to determine the IDH subtypes in tumors samples. IDH mutation and HCMV status were correlated to the characteristics of the tumors using SPSS, whereas the survival curves were obtained by the Kaplan-Meier method and the log rank test. Results: HCMV shows significant association with gliomas with a detection rate of 30.4% and no case in the control group. The IDH mutation was identified in 40.9–50% of grade II–III gliomas and in 10.9% of grade IV gliomas. A significant association was obtained between survival in patients with glioblastomas and IDH/HCMV status. Glioblastoma patients with HCMV+ and IDHwt had a poor prognostic. Conclusions: HCMV was detected exclusively in tumor cases and was significantly associated with poor prognosis in patients with gliomas and particularly with glioblastomas. The worst overall survival was significantly seen in patients with gliomas HCMV+/IDHwt. So, it will be of interest to consider HCMV and IDH status in gliomas management strategies.

Introduction

Viral infections are responsible for about 20% of all cancers. In fact, several viruses like Epstein-Barr virus (EBV) or the human herpesvirus 8 (HHV8) are classified as oncogenic while the presence of others viruses has been reported in several cancers [1]. Human cytomegalovirus (HCMV) is a herpesvirus that infects at least half of the population in developed countries and almost everyone in developing ones. In the latent state, the host remains asymptomatic [2]. The “viral reactivation” in immuno-compromised patients is often associated with immune suppression, chronic inflammation and cancer. In fact, several HCMV proteins (IE1–72, IE-1/IE-2 and pp65) are implicated in apoptosis inhibition, cell proliferation, stem cells induction, immune escape, metastasis, and angiogenesis, which give an oncomodulatory property to the virus. Moreover, HCMV was detected in several cancers such as primary intracerebral tumors, colorectal, breast cancer and mainly gliomas [2,3].
Gliomas are a highly heterogeneous group. According to the World Health Organization (WHO), they are classified in four prognostic grades on the basis of degree of anaplasia and in different histological subtypes. Gliomas are generally classified in astrocytomas, oligodendrogliomas and ependymomas. Glioblastomas (WHO grade IV) frequently occur at the level of the white matter of the cerebral hemispheres and are unfortunately the most frequent diffuse astrocytomas [4]. Before the first detection of cytomegalovirus by Cobbs [2] and even afterwards, research on gliomas tended to focus on genetic mutations. In fact, histology and grading are not sufficient to fully characterize a glioma. In 2016, the WHO incorporated some molecular characteristics in the CNS classification. In fact, oligodendrogliomas require some molecular changes such as 1p/19q co-deletion, mutations or fusions in key genes located in 1p and also in the promoter of telomerase reverse transcriptase (TERT) [4]; while astrocytomas are characterized by additional mutations that occur in tumor protein 53 (TP53) (80% of cases) and in alpha thalassemia/mental retardation syndrome X-linked gene (ATRX) [4].
These genomic alterations are preceded by changes in microenvironment and particular interest is shown in isocitrate dehydrogenase (IDH)1/2 mutations. Those mutations are found early and frequently (50–80%) in low-grade glioma patients, as well as in a small fraction of glioblastoma patients (2–20%), especially in those with secondary glioblastomas. Mutations in the IDH1 and IDH2 genes are somatic and invariably heterozygous. They can lead to genetic instability [4].
It also was shown that HCMV induces immune suppression, chronic inflammation, cell proliferation and apoptosis inhibition. However, its involvement in gliomas and other brain tumors types remains controversial. A recent study has shown that regardless of the treatment, the virus is associated with poor prognosis in glioma patients especially in high-grades gliomas (HGGs) [5]. Also, HCMV reactivation is frequently observed during radio (chemo) therapy in patients with brain tumors and causes encephalopathy but this data remains insufficient to establish an association between the virus and the patient’s prognosis [6]. In contrast, it is well established that IDH mutation is a better prognosis factor compared to the wild-type IDH in gliomas, making this gene the most important prognostic marker [4]. However, most studies are interested in the association between HCMV and glioma according to histological classification and the involvement of this virus in gliomas depending on IDH status is not largely studied. Thus, this study aimed to verify the association between HCMV and gliomas considering the IDH subgroup in a Moroccan population and to verify its possible impact on patients’ survival.

Methods

Patients and sampling

A prospective study was conducted from February 2014 to December 2019. It included all consenting patients consulting the Neurosurgery Department of Hospital University (CHU) Hassan II of Fez and for whom biopsy or surgical resection was required for diagnosis. Written informed consent was obtained from all adult participants and from parents on the behalf of patients aged less than 18. In the case of illiterate or semi-literate patients, the interviewer read the written consent to them. All participants had a personal interview(requesting information about age, gender, and area) and the clinical outcomes were noted before undergoing biopsy or surgery. Surgical samples (or biopsy) were collected as part of standard clinical practice and for anatomopathological routine exam. They were used to determine IDH1, IDH2 and HCMV status specifically for this study. Two neuropathologists assessed this exam independently using WHO 2007 classification. Glioma types were reclassified (on the basis of WHO 2016 recommendations) after IDH status determination. The patients’ survival data was determined by consulting patients’ history according to the different consulted departments for treatment or following check point appointments with the Neurosurgery department. The long-term survival was defined as a survival of >2 years from the diagnosis of glioma. The Ethics Committee of University Hospital of Fez approved the study protocol.

DNA extraction

DNA was extracted from fresh-frozen samples using phenol-chloroform protocol. Briefly, 30 mg of tissue were ground and the homogenate was treated with 40 μL of lysis buffer (0.2 mg/mL proteinase K (Invitrogen, Themo Scientific, USA), 0.02 mM Triton X-100 (AMRESCO, USA) and 0.06M Tris (pH 9). After an overnight incubation at 37 °C, and reaction inactivation, the lysate was treated with 1 volume of phenol-chloroform-isoamylalcohol (25:24:1, pH 6.6/7.9, Ambion, USA) and the DNA was purified with ethanol. The pellet was dissolved in Tris-EDTA buffer (10 mM Tris-HCl and 0.2 mM EDTA, pH 7.4). DNA concentration was measured with the NanoVue plus system (BiochRom, UK) with detected concentration of samples varying from 100 ng/µL to 400 ng/µL and the A260/A280 ratio ranged between ~1.7 and 1.9. DNA was stored at -80 °C until its use in PCR.

Detection of IDH1/IDH2 mutations

To determine the IDH1 and IDH2 status, a region of 400 bp of exon 4 spanning the R100 and R132 mutations of IDH1 gene and a region of 345bp of IDH2 gene spanning the R172 mutation were amplified and sequenced. Primers and PCR conditions were those described by Chotirat et al. in 2012 with slight modifications [7]. The primers sequences were as follows: IDHI-F: 5′-AGCTCTATATGCCATCACTGC-3′, IDH1-R: 5′-AACATGCAAAATCACATTATTGCC-3 for IDH 1 and IDH2-F: 5′- AATTTTAGGACCCCCGTCTG-3′ and IDH2-R: 5′-CTGCAGAGACAAGAGGATGG-3) for IDH2 [7]. PCR reactions were performed in a total volume of 25 μL containing 80 ng of genomic DNA, PCR mixture of 1x Taq Buffer, 1.25U Dream Taq DNA polymerase (Thermo Fisher Scientific, Lithuania), 200 μM of each dNTP (Thermo Fisher Scientific, Lithuania), 0.4 μM of each primer (Invitrogen by Thermo Fisher, Lithuania) and Milli-Q water. The PCR was carried out in Applied Biosystems Veriti thermal cycler (Thermo Fisher Scientific, Singapore) using the following steps: initial denaturation at 98 °C for 30 sec followed by 35 cycles of 98 °C for 10 sec, 60 °C for 30 sec and 72 °C for 30 sec, and final extension at 72 °C for 5 min for IDH1. For IDH2 the reactions steps were modified as follows: initial denaturation of 94 °C for 2 min followed by 35 cycles of 94 °C for 1 min, 57 °C for 1 min, 72 °C for 1 min and final cycle of 72 °C for 5 min.
PCR products were resolved in 1.5% agarose gel, stained with ethidium bromide and visualized in the instrument “iBRIGHT CL1500 imaging system” (Thermo Fisher, Singapore). All amplicons were subsequently purified using the one step ExoSAP-IT purification kit (Thermo Fisher Scientific, Lithuania) and the resulting products were sequenced using the BigDye Terminator v3.1 Cycle Sequencing Kit (Thermo Fisher Scientific, Lithuania) with an 3500 Dx Genetic Analyzer (Applied Biosystems, Life Technologies, USA).

HCMV detection

Nested polymerase chain reaction (nPCR) was used to detect HCMV and was carried out as previously described by Bhattacharjee et al. with slight modifications [8]. The external primers sequences which amplify a 1300 bp region of the major immediate early (IE) gene promoter were: forward primer 5′-CCGAAATACGCGTTTTGAGAT-3′ and reverse primer 5′-CCAAGCCAAAAACAGTATAGC-3′ and the internal primers sequences which amplify a region of 144 bp within the amplicon generated by the external primers were: forward primer 5′-GGCGGAGTT(G/A)TTACGACATTT-3′ and reverse primer 5′ATGCGGTTTTGGCAGTACAT-3′ [8]. PCR with external primers was performed in a total volume of 25 μL containing 200 ng of DNA, PCR mixture of 1x Dream Taq buffer, 1 U Dream Taq DNA polymerase (Thermo Fisher, Lithuania), 200 μM of each dNTP (Thermo Fisher Scientific, Lithuania), 0.4 μM of each primer (Invitrogen by Thermo Fisher, Lithuania) and Milli-Q water. PCR conditions were 95 °C for 5 min, followed by 45 cycles of 94 °C for 30 s, 56 °C for 30 s, and 72 °C for 1 min, with a final extension at 72 °C for 10 min. 1 μL of each PCR product was further used as template in 25 μL of PCR with internal primers (as previously described for external primers). The PCR cycle programs were 95 °C for 5 min, 40 cycles of 95 °C for 20 s, 55 °C for 20 s, and 72 °C for 20 s, 72 °C for 5 min [8]. The PCR products visualization was done as mentioned for IDH1/IDH2 amplicons. Some PCR positive products were sequenced to confirm the specificity of nPCR.

Statistical analysis

Statistical analysis was done using SPSS software (version 20, SPSS Inc., USA). Different associations were determined by Chi-square or Fisher’s exact tests and whenever necessary Kruskal-Wallis test. For all analyses, a p value <0.05 was considered significant. The overall survival (OS) rate of patients with different gliomas histology was determined using Kaplan-Meier survival method with log-rank test for association and also confidence interval defined as 95%.

Results

Population description

During the study period, a total of 134 patients were recruited. Out of 32 non-tumor patients (9 encysted hematoma, 13 meningeal hemorrhage and 10 non-tumor primary cerebral epilepsy), the histological exam showed that 102 patients were with gliomas (46 glioblastomas, 36 astrocytomas (non-glioblastomas), 3 oligodendrogliomas and 17 ependymomas).
The lesion primary site was predominantly the frontal lobe (27.5%) followed by cerebellar site (15.7%) (Table 1). The non-tumoral samples were used as control for HCMV diagnosis.

IDH1/2 detection

DNA amplification using IDH1 specific primers shows the presence of an amplicon of 400 bp in all samples (Figure 1). Sequence analysis of the amplicons showed the presence of IDH1 mutation in 17 cases (16.7%) of all gliomas. The 395G>A (R132H) was the only detected mutation (Figure 2). Moreover, the R100 IDH1 and R172 IDH2 substitutions were not detected in any case. Therefore, no significant association was found between IDH1 mutation and patients’ age or gender (Table 2). A significant association was obtained between IDH1 mutation, grades (p<0.001) and lesion sites (p=0.001). IDH1 mutation was detected predominantly in the frontal lobe samples (Table 2). Gliomas were classified according to IDH status as determined in Table 1.
DNA amplification using IDH2 specific primers showed the presence of an amplicon of 345 bp in all samples (Figure 1). Sequence analysis of the amplicons showed that all samples were IDH2 wt (no R172 mutation).

HCMV detection

PCR products obtained using the external and internal HCMV specific primers were of 1300 pb and 144 pb respectively (Figure 3). So, HCMV was detected in 31/102 (30.4%) gliomas samples and in none case of non-tumors (p<0.001) (Table 2). In gliomas, the virus distribution showed no significant associations with gender, grade or location even if it seemed more prevalent in men than in women (32.4% vs. 26.5%) (Table 2). HCMV infection was significantly associated with age (p=0.001), with predominance in older patients (53.3%).
In glioma patients, HCMV showed no significant association with tumors histology. In gliomas IDHmut and IDHwt patients, HCMV was predominant in grade II-III gliomas and glioblastomas respectively (Table 3) but the association was still non-significant.
Survival analysis:
In gliomas, no association was obtained between OS and glioma histological group (p=0.291) even if glioblastoma showed the lower OS. The determined mean OS (mOS) was 67.9 months for ependymomas, 42.7 months for astrocytomas grades II-III and 23.8 months for glioblastomas (Figure 4a). OS was associated with the age (p=0.012), survival was improved among young patients (<50 years) than in older ones (Figure 4b). The mOS was 63.3 months for young patients (<50 years) vs. 26.4 months for older patients (>50 years).
OS in glioma patients was higher in IDH mutated patients compared to wild type ones (p=0.816) (Figure 5a). The mOS were 37.9 months for IDHwt glioma patients and 44.6 months for IDHmut patients, and the same tendency was observed in grade II-III diffuse gliomas (Figure 6a) and glioblastomas (Figure 7a). Also, HCMV+ glioma patients showed significantly reduced OS (p=0.009) also in glioblastomas (p=0.024) but not in grade II-III gliomas (Figure 5b,Figure 6b,Figure 7b). In HCMV+ gliomas (independently of grades), grade II-III diffuse gliomas and glioblastomas, the patients’ mOS were 34.8 months, 38.4 months and 11.9 months vs. 63.6 months, 43.9 months and 28.7 months in HCMV- patients, respectively.
Combination of IDH/HCMV status showed also significant associations with OS in gliomas (p=0.049) and particularly in glioblastomas (p=0.002) patients but not in grade II-III gliomas (Figure 5c,Figure 6c,Figure 7c). Thus, poor OS was obtained in IDHwt/HCMV+ patients.

Discussion

Primary malignant brain tumors are rare but represent a serious health burden due to their poor outcome. The presence of HCMV in these tumors is largely discussed and its prognostic value was reported in several studies. However, only few studies investigated the association between HCMV and gliomas according to IDH status. This study is the first one conducted in Morocco to determine the prevalence of HCMV in gliomas and its association with IDH status and patients’ survival.
Several studies were interested in the detection of HCMV DNA and proteins in gliomas of different grades of malignancy. Thus, the virus was detected at different rates ranging from 0 to 90% [2,9] and this difference was explained by the tumor’s sample size, diagnosis techniques and geographical area [2,9]. In fact, a great variability in the level of viral detection were observed this last decade with the use of different methodological approaches (IHC, ISH and PCR) and different sampling techniques (fresh or embedded paraffin tissues). In our study, nPCR was used to detect HCMV DNA extracted from fresh-frozen tissues. The primers used target the major immediate-early (IE) gene, which is an important indicator of viral reactivation, and a variety of its products are implicated in immune escape, apoptosis inhibition, cell proliferation and angiogenesis as well as in viral replication [10]. The detection of IE gene using nPCR is largely used [8,11] and has shown large sensitivity when used in fresh-frozen tumor samples. According to Bhattacharjee et al. (2012), this method allows detection of low levels of DNA beyond the limit of real time PCR and helps prevent false positives detection [8].
The nPCR results show that HCMV DNA is present exclusively in tumor group patients. This result may corroborate the hypothesis, which suggests that the tumor microenvironment is favorable to the reactivation of the virus and that the oncomodulatory properties of HCMV could be beneficial to the tumor evolution [10]. So, to verify this hypothesis, it will be necessary to verify the serological status of HCMV in each studied population, ethnic groups or geographical area. In fact, if HCMV is considered as oncomodulator, its rate in cancer cases will depend on its prevalence in the concerned geographical area. Unfortunately, there is a lack of data on HCMV seroprevalence in several countries notably in Morocco rendering its actual incidence undetermined. Therefore, such association must be studied in the future.
The HCMV was detected with a rate of 30.4% (31/102) in gliomas (independently of their histology) (p<0.001). This rate is different from those detected in England (94%) [8], in Iran (70.1%) [12] and in China (28.6–43.6%) [10]. No significant association was obtained between HCMV and gender even if the infection rate appears to be higher in men than in women. However, a significant association was obtained between HCMV and the age of glioma patients (p=0.001) with higher prevalence in older population (>50 years). In fact, in the elderly, HCMV can play a role in the weakness of immunity functions [13] and the progression of immuno-senescence can be responsible for increasing the rate of viral infections recurrence and the risk of mortality [13]. Considering the opportunistic nature of HCMV infection, our result can corroborate the hypothesis of HCMV reactivation following systematic or focal immunosuppression associated to gliomas.
In glioma patients, HCMV tends to be more prevalent in grade IV than in other grades (p=0.1). Even if this difference is not statistically significant, this result can corroborate those obtained in other geographical areas [10,12]. Thus, the high rate of HCMV detected in glioblastomas can be related to the favorable conditions of reactivation related to this tumor characteristics (immune-suppressed phenotype, extensive mitosis, vascularity and necrosis, profound infiltrating cells, and secretion of growth factors and inflammatory cytokines) which are also partially present in anaplastic gliomas [12]. The fact that reactivation occurs only in the tumor microenvironment and not in the surrounding healthy tissue [10] can confirm that the conditions created by the tumor and particularly glioblastoma promote the reactivation of the virus. Thereafter, HCMV plays a role in oncomodulation and in tumor progression. To explain the rates of this virus in different glioma grades, the serological HCMV status is an additional important factor that could be considered. Evidently, the rate of HCMV detection (activated infection) depends on the rate of latent infection and, in some way, on the rate of seropositive patients. Unfortunately, this data is not available.
In this study, the IDH1 (R132) mutation was detected in 16.7% of gliomas and none of R100 IDH1 or R172 IDH2 was found. This result was not surprising since mutations R100 IDH1 and R172 IDH2 were rare in gliomas [14]. The prevalence of the IDH mutations varies according to glioma grade. In fact, Yao et al. showed that IDH mutations were associated with a less aggressive glioma phenotype compared to the wild type and with a less invasive characteristic of low grade gliomas [15]. This was confirmed by our results since IDH1 mutation was detected in 40.9%, 50% and 10.9% of grade II, III and IV respectively (p<0.001). The low mutation rate detected in glioblastomas was comparable to that obtained in other studies notably in the USA (12%) [16]. It also implies a predominance of primary glioblastomas in our cohort (IDHwt: 41/46).
The IDH mutation was not associated with patients’ age even if it was slightly more predominant in younger people (<50 years) (18.1% vs. 13.3% in >50 years). This tendency was reported in others studies [12,17] and can be explained by the frequent occurrence of IDH mutation in grade II-III gliomas (which are predominant in young patients) compared to primary glioblastomas (which are more frequent at old age) [17]. Also, IDH mutations are more frequent in males, which is concordant with the results of most studies [12,17]. This trend has not yet been explained and the implication of hormonal and/or metabolic factors deserves to be explored.
More than half of IDH1 mutations (10/17) were obtained in patients with frontal lobe tumors (p=0.004), which was in accordance with US results [17]. In fact, the IDH mutated gliomas were predominantly located in a single lobe, such as the frontal lobe and temporal lobe, where tumors can be removed simply [15].
OS in glioma patients were determined according to several variables: age, tumor histology, IDH status and HCMV infection. Several studies [18,19] reported that survival was associated with the patient’s age in gliomas. The obtained results confirm this data and show that mOS in older patients (>50 years) was 26.4 months compared to 63.3 months for the younger patients (<50 years) (p=0.012). This difference can be explained by the prevalence of glioblastoma in the older population. In fact, patients with glioblastomas had the lowest mOS (23.8 months) compared to those with others astrocytoma types (42.7 months). This result (despite its lack of statistical significance (p=0.291)) was not surprising and is in accordance with those reported in Sweden and the USA (with survival averages of 15.7 and 36 months for glioblastomas and others astrocytomas, respectively) [18,20]. In fact, grade II-III astrocytomas are less aggressive and probably show some molecular characteristics (as IDH mutation) that can be associated with relatively good prognosis; they also occur in younger age and in patients with more active immune response, that will probably have an impact on the tumor evolution and patients’ OS.
Moreover, several studies show significant association between OS and IDH status with a better prognosis in IDH mutated patients. In our study, the OS of glioma patients was not significantly associated with IDH mutation even if a difference in mOS between IDHmut (44.6 months) and IDHwt (37.9 months) was observed. This lack of association was also reported in other studies notably in US and Japan [21,22]. This tendency was also observed with glioma grades. In fact, several hypotheses were formulated to explain the better OS of glioma patients with IDH mutation. It has been demonstrated that IDH1/2 catalyzes the oxidative decarboxylation of isocitrate to α-ketoglutarate (α-KG) and is the main source of NADPH in the human brain. Mutation in IDH1 and IDH2 enzymes leads to the reduction of α-ketoglutarate (KG) to 2-hydroxyglutarate (2-HG) and to a low level of NADPH. The 2-HG has properties of an oncometabolite and its accumulation in the cell contributes to oncogenesis. The reduced production of NADPH in addition to NADPH consumption by mutated IDH1 may make gliomas sensitive to irradiation and chemotherapy [23]. However, patients’ age, composition of tumor population, status of other genes such as 1p/19q and TP53 and their association with IDH can impact the OS and must be considered when analyzing results of studies. In fact, i) oligodendrogliomas grade II generally present positive outcome compared to astrocytomas grade II, so including more oligodendroglioma patients in studies can impact the results of IDH mutation effect on prognosis; ii) IDH mutations are more frequent in young patients, which have generally good prognosis. iii) IDH mutation was strongly associated with the 1p/19q co-deletion and the TP53 mutation. In grade II oligodendrogliomas, an association between the IDH mutation and the 1p/19q co-deletion was reported and a prolonged survival in patients with IDH mutation could simply be due to the 1p/19q co-deletion; iv) in astrocytomas grade II, TP53 mutations were reported as a worse prognostic factor, raising the prognostic impact of IDH mutations in astrocytic tumor [4]. Thus, the lack of association between the OS and IDH status in our study can be explained by the size and composition of the tumor population (only 3 oligodendrogliomas grade II-III, 25 astrocytomas grade II-III and 46 glioblastomas). Further study is warranted to elucidate any potential interactions between these variables.
While IDH mutation is generally defined as a good prognostic factor in patients with glioma, the impact of HCMV on survival remains controversial. Comparison of patients’ OS according to HCMV infection independently of glioma histology showed a significant association (p=0.009). In fact, mOS of HCMV+ glioma patients was lower (34.8 months) compared to HCMV- ones (63.6 months). This result is in accordance with those obtained in several studies [5,6]. When considering glioma grades, the survival analysis showed that HCMV+ glioblastoma patients had significant poor OS (p=0.024) but not in grades II-III glioma. This can be explained by: i) the glioblastoma characteristics (as previously mentioned) that provide favorable molecular and biological microenvironment for HCMV reactivation, while oncomodulatory effects of HCMV would promote tumor progression and thereby contribute to reducing the patient’s OS. In fact, tumor-associated macrophages (TAM) are present in the glioblastoma microenvironment. They display an M2 phenotype and support the establishment of Th2 response (production of cytokines such as IL-10) that can promote immune evasion; they can be also infected by HCMV. It was also demonstrated that high TAM density is a hallmark of reduced overall survival in glioblastoma [24]. ii) HCMV may also remain latent, during a very long time, in neuro stem cells (NSCs). Its reactivation in these cells promotes gliomagenesis in the glioblastoma microenvironment [25].
The glioma patients’ OS was also determined according to combined HCMV and IDH status. The IDHwt/HCMV+ glioblastoma patients subgroup had the worst prognosis, while the IDHmut/HCMV- subgroup significantly had the best prognosis (p=0.002). According to these data, the questions about the possible interaction between IDH and HCMV and the mechanism by which they can impact the OS are raised. In fact, on the one hand, the IDH1-wt activity detected in primary glioblastomas (which is predominant in our study) is an important factor in metabolic adaptation. It supports an aggressive growth of this tumor despite difficult metabolic conditions [23]. IDHwt is also more prevalent in glioblastomas and shows more resistance to radiotherapy and chemotherapy than IDHmut cases. So glioblastomas IDHwt show worse prognosis [23]. On the other hand, HCMV is present in all glioma grades with predominance in glioblastomas and is known to play a role in increasing the tumor aggressiveness; moreover its systemic infection decreases the OS of glioblastoma patients [5]. The lack of association between HCMV presence and IDH status in the present study suggests that HCMV and IDH act as independent factors. Thus, the poor survival observed in IDHwt/HCMV+ patients can be related to the cumulative action of these two probably independent factors. Larger studies are needed to elucidate the links/potential interaction between HCMV and IDH status.

Conclusions

In summary, HCMV was exclusively present in glioma and was significantly associated with shorter survival, particularly of patients with glioblastoma. No association between IDH status and HCMV presence was found but in IDHwt glioblastoma cases HCMV infection was predominant. However, a combination of HCMV and IDH status was significantly associated with OS in gliomas and IDHwt/HCMV+ patients showed poorer survival. So, it will be of interest to consider the combined status of HCMV and IDH in glioma management strategies.

Author Contributions

CF: carried out molecular experiments and statistical analysis, drafted the manuscript, and gave final approval of the version to be published. MCF: participated to study design, sample and data collection and interpretation, and gave final approval of the version to be published. NH: participated in pathological exam, gliomas reclassification and gave final approval of the version to be published. HF: participated in pathological exams, gave final approval of the version to be published. KH: participated to the study design and data interpretation, final approval of the version to be published. LB: participated in the molecular experiment, gave final approval of the version to be published. SF: participated in the statistical analysis and data interpretation, gave final approval of the version to be published. BB:conception and design of the study, data collection, analysis and interpretation, critical revision of the article, final approval of the version to be published. All authors read and approved the final version of the manuscript.

Funding

This work was supported by the University Hospital Hassan II of Fez, Faculty of Medicine and Pharmacy of Fez, USMBA and Laboratory of Human Pathology Biomedicine and Environment of the same Faculty. The funding source was involved in collection, management and analysis of data.

Institutional Review Board Statement

The present study was stated and approved by the Institutional Review Board of the Hassan II University Hospital of Fez, Morocco. The study was performed in accordance with the Declaration of Helsinki.

Acknowledgments

The authors would like to express their profound gratefulness to the staffs of Neurosurgery, Radiotherapy and Anatomo-pathology Departments of Hassan II University Hospital for their help in specimens and data collection.

Conflicts of Interest

All authors—none to declare.

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Figure 1. Agarose gel electrophoresis of IDH1 and IDH2 amplification products. Lanes 1 and 2: 400 bp PCR products obtained with IDH1 primers, lane 3: negative control, lane 4: molecular-weight size standard (50 bp DNA ladder, Thermofisher), lane 5 to lane 7: 345 bp PCR product obtained with IDH2 primers, lane 8: negative control.
Figure 1. Agarose gel electrophoresis of IDH1 and IDH2 amplification products. Lanes 1 and 2: 400 bp PCR products obtained with IDH1 primers, lane 3: negative control, lane 4: molecular-weight size standard (50 bp DNA ladder, Thermofisher), lane 5 to lane 7: 345 bp PCR product obtained with IDH2 primers, lane 8: negative control.
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Figure 2. Electropherogram of the DNA sequencing of IDH1 gene. a/: indicated the wildtype; b/: indicated the mutated 395G>A (R132H). A—adenine; C– cytosine; G—guanine; T—thymine.
Figure 2. Electropherogram of the DNA sequencing of IDH1 gene. a/: indicated the wildtype; b/: indicated the mutated 395G>A (R132H). A—adenine; C– cytosine; G—guanine; T—thymine.
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Figure 3. Agarose gel electrophoresis of HCMV amplification products obtained using two sets of primers. Lane 1: Molecular-weight size standard (100 bp DNA ladder plus, Invitrogen by Thermo Scientific), lanes 2 and 3: 1300bp PCR products obtained with the external primers, lane 4: negative control, lanes 5 and 6: 144 bp PCR products obtained with the internal primers, lane 7 negative control.
Figure 3. Agarose gel electrophoresis of HCMV amplification products obtained using two sets of primers. Lane 1: Molecular-weight size standard (100 bp DNA ladder plus, Invitrogen by Thermo Scientific), lanes 2 and 3: 1300bp PCR products obtained with the external primers, lane 4: negative control, lanes 5 and 6: 144 bp PCR products obtained with the internal primers, lane 7 negative control.
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Figure 4. Kaplan Meier overall survival (OS) curves according to glioma: histological type (a), patients’ age (b). Survival was better in ependymoma followed by astrocytoma; OS was significantly better in patients aged under 50 years (p=0.012).
Figure 4. Kaplan Meier overall survival (OS) curves according to glioma: histological type (a), patients’ age (b). Survival was better in ependymoma followed by astrocytoma; OS was significantly better in patients aged under 50 years (p=0.012).
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Figure 5. Kaplan Meier overall survival (OS) curves according to IDH (a), HCMV (b) and IDH/HCMV subgroups (c) in glioma patients. Patients with IDH mutation have a better OS than those IDHwt in all gliomas but the difference remains statistically insignificant. HCMV+ was a poor prognosis factor in gliomas (p=0.009) and combination of HCMV and IDH status was significantly associated to OS in gliomas patients (0.049).
Figure 5. Kaplan Meier overall survival (OS) curves according to IDH (a), HCMV (b) and IDH/HCMV subgroups (c) in glioma patients. Patients with IDH mutation have a better OS than those IDHwt in all gliomas but the difference remains statistically insignificant. HCMV+ was a poor prognosis factor in gliomas (p=0.009) and combination of HCMV and IDH status was significantly associated to OS in gliomas patients (0.049).
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Figure 6. Kaplan Meier overall survival (OS) curve according to IDH (a), HCMV (b) and IDH/HCMV subgroups (c) in grade II-III diffuse gliomas. IDH and HCMV status were not associated to OS in gliomas grades II-III.
Figure 6. Kaplan Meier overall survival (OS) curve according to IDH (a), HCMV (b) and IDH/HCMV subgroups (c) in grade II-III diffuse gliomas. IDH and HCMV status were not associated to OS in gliomas grades II-III.
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Figure 7. Kaplan Meier overall survival (OS) curves according to IDH (a), HCMV (b) and IDH/HCMV subgroups (c) in glioblastomas. HCMV and combination of HCMV/IDH was significantly associated with OS in glioblastomas (p=0.024 and p=0.002 respectively).
Figure 7. Kaplan Meier overall survival (OS) curves according to IDH (a), HCMV (b) and IDH/HCMV subgroups (c) in glioblastomas. HCMV and combination of HCMV/IDH was significantly associated with OS in glioblastomas (p=0.024 and p=0.002 respectively).
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Table 1. Population description.
Table 1. Population description.
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Table 2. Association of HCMV and IDH status with patient characteristics.
Table 2. Association of HCMV and IDH status with patient characteristics.
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Table 3. HCMV according to histo-molecular classification.
Table 3. HCMV according to histo-molecular classification.
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Fall, C.; El Faiz, M.C.; Hammass, N.; El Fatemi, H.; Hassouni, K.; Bouguenouch, L.; El Fakir, S.; Bennani, B. Human Cytomegalovirus and Isocitrate Dehydrogenase Status in Glioma: Association and Prognosis Value in Moroccan Population. Germs 2022, 12, 32-45. https://doi.org/10.18683/germs.2022.1304

AMA Style

Fall C, El Faiz MC, Hammass N, El Fatemi H, Hassouni K, Bouguenouch L, El Fakir S, Bennani B. Human Cytomegalovirus and Isocitrate Dehydrogenase Status in Glioma: Association and Prognosis Value in Moroccan Population. Germs. 2022; 12(1):32-45. https://doi.org/10.18683/germs.2022.1304

Chicago/Turabian Style

Fall, Coumba, Mohammed Chaoui El Faiz, Nawal Hammass, Hinde El Fatemi, Khalid Hassouni, Laila Bouguenouch, Samira El Fakir, and Bahia Bennani. 2022. "Human Cytomegalovirus and Isocitrate Dehydrogenase Status in Glioma: Association and Prognosis Value in Moroccan Population" Germs 12, no. 1: 32-45. https://doi.org/10.18683/germs.2022.1304

APA Style

Fall, C., El Faiz, M. C., Hammass, N., El Fatemi, H., Hassouni, K., Bouguenouch, L., El Fakir, S., & Bennani, B. (2022). Human Cytomegalovirus and Isocitrate Dehydrogenase Status in Glioma: Association and Prognosis Value in Moroccan Population. Germs, 12(1), 32-45. https://doi.org/10.18683/germs.2022.1304

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