Literature DB >> 32732530

Prevalence of mitochondrial DNA common deletion in patients with gliomas and meningiomas: A first report from a Malaysian study group.

Abdul Aziz Mohamed Yusoff1, Siti Zulaikha Nashwa Mohd Khair1, Siti Muslihah Abd Radzak1, Zamzuri Idris1, Hsin-Chen Lee2.   

Abstract

BACKGROUND: The 4977-bp common deletion (mtDNA) is a well-established mitochondrial genome alteration that has been described in various types of human cancers. However, to date, no studies on mtDNA in brain tumors have been reported. The present study aimed to determine mtDNA prevalence in common brain tumors, specifically, low- and high-grade gliomas (LGGs and HGGs), and meningiomas in Malaysian cases. Its correlation with clinicopathological parameters was also evaluated.
METHODS: A total of 50 patients with pathologically confirmed brain tumors (13 LGGs, 20 HGGs, and 17 meningiomas) were enrolled in this study. mtDNA was detected by using polymerase chain reaction (PCR) technique and later confirmed via Sanger DNA sequencing.
RESULTS: Overall, mtDNA was observed in 16 (32%) patients and it was significantly correlated with the type of tumor group and sex, being more common in the HGG group and in male patients.
CONCLUSION: The prevalence of mtDNA in Malaysian glioma and meningioma cases has been described for the first time and it was, indeed, comparable with previously published studies. This study provides initial insights into mtDNA in brain tumor and these findings can serve as new data for the global mitochondrial DNA mutations database.

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Year:  2020        PMID: 32732530      PMCID: PMC7478208          DOI: 10.1097/JCMA.0000000000000401

Source DB:  PubMed          Journal:  J Chin Med Assoc        ISSN: 1726-4901            Impact factor:   3.396


1. INTRODUCTION

Primary tumors of the central nervous system (CNS) are among the top 10 leading causes of death worldwide. It is estimated that 18 020 deaths occurred from these tumors in 2020.[1] The common types of primary CNS tumors in adults are gliomas and meningiomas.[2] Gliomas are the most common intra-axial brain tumors, originating from glial cells, and comprise of three main types: astrocytomas, oligodendrogliomas, and ependymomas. According to the World Health Organization (WHO), these gliomas are further classified into four classes, more specifically, into low-grade gliomas (grades WHO I and II) and high-grade gliomas (grades WHO III and IV), based on histopathological and molecular features.[3,4] Low-grade gliomas (LGGs) are relatively slow-growing and benign histopathological characteristics, while high-grade gliomas (HGGs) are highly malignant and aggressive tumors including anaplastic astrocytoma (WHO III) and glioblastoma multiforme (GBM) (WHO IV).[3,4] On the other hand, meningiomas are the most common extra-axial tumors of the meninges in the intracranial space, originating from arachnoid cap cells.[5] They are usually benign and slow growing. These tumors are present in approximately 37% of all primary CNS tumors, and according to the WHO, they are classified into three grades (grade WHO I or benign, grade WHO II or atypical, and grade WHO III or malignant).[4] Gliomas and meningiomas exhibit multiple complex interactions, with a variety of alterations in the genetic and epigenetic composition of the CNS that influence the patient prognosis.[6,7] To date, research on the genesis and development of these tumors has intensively focused on the alteration of the gene in the nucleus. Because of the complexity of genomic changes within these tumor cells, some researchers have shifted their focus to another genome. In addition to the nuclear genome, it is worth considering that there is another genome that needs to be investigated. Mitochondria, which are remarkable organelles, are the ultimate energy power plants for producing ATP via an oxidative phosphorylation (OXPHOS) system and for retaining various cellular functions in cells.[8] Mitochondria contain our second genome, called mitochondrial DNA (mtDNA), which has a circular shape with an approximate size of 16 569 base pairs, encoding 13 proteins that are part of respiratory complexes I, III, IV, and V, 22 transfer RNAs (tRNAs) and two ribosomal RNAs (rRNAs).[9] In 1956, Otto Warburg[10] was the pioneer biochemistry researcher that proposed the relevance of mitochondria with the origin of cancer cells. Warburg’s view believed that mitochondrial alterations in function might enhance tumor growth or promote cancer progression. From then on, different types of mtDNA aberrations have been characterized in human cancers such as point mutations, deletions, rearrangements, and changes in mtDNA content.[11] Mitochondria are also the major source of cellular reactive oxygen species (ROS) and the preferred target of oxidative stress.[12,13] Relatively, ROS are well known to be toxic by-products during mitochondrial electron transport.[14] Excessive ROS exposure can trigger mtDNA damage and initiate a vicious cycle of damage within the mitochondria as well as the injuries implicated in carcinogenesis.[15] Furthermore, oxidative damage to mtDNA can also result in mtDNA deletions by causing double-strand breaks in the DNA.[15] Historically, mitochondrial molecular medicine research has risen dramatically since the 1980s, when the discoveries of point mutations[16] and deletions[17] in mtDNA were believed to be linked to the diseases. In fact, large-scale mtDNA deletions were among the first mtDNA alterations to be discovered to cause human diseases.[17-19] To date, >180 mtDNA deletions that have been reported to be associated with various diseases have been stored in the Mitomap (http://www.mitomap.org), a mitochondrial genome database. One of the most essential large-scale mtDNA deletions that leads to a huge loss of the mitochondrial genome fragment is the 4977-bp mtDNA deletion (mtDNA4977). Known as the “common deletion”, this alteration involves the elimination of nucleotides from the 8470 to the 13 447 position of the human mitochondrial genome. mtDNA4977 eliminates all five tRNA genes (tRNAGly, tRNAArg, tRNAHis, tRNASer, and tRNALeu) and seven genes encoding four Complex I subunits (ND3, ND4, ND4L, partial ND5), one Complex IV subunit (COX III), and two Complex V subunits (ATP6 and partial ATP8), that are vital for sustaining a normal mitochondrial OXPHOS function.[20] mtDNA4977 has been studied in various other tumor types, but there is little information about in the primary CNS tumors.[21,22] The present study is the first prospective study to determine the prevalence of mtDNA4977 and its accumulation in patients with common primary CNS tumors, namely, gliomas and meningiomas.

2. METHODS

2.1. Patients and samples collection

This study was conducted on a Malay population of patients who referred to Hospital Universiti Sains Malaysia (HUSM) and the Department of Neurosciences during 2015-2018, with a brain tumor diagnosis, either with a glioma or a meningioma. A total of 50 patients were enrolled in the study after providing their written informed consent. Patients who had a previous history of receiving radiotherapy procedures to the brain or chemotherapy for any reason were excluded from the study. All patients underwent the neurological surgery. The histopathological diagnosis of the tumors was performed by a consultant neuropathologist following WHO criteria. This study was approved by the Research Ethics Committee of Universiti Sains Malaysia (USM) adhered to the tenets of the Declaration of Helsinki. The control group used in this study consisted of 20 archival paraffin-embedded tissues obtained from the autopsies of traffic accident victims, which were confirmed to be normal human brain tissues.

2.2. DNA extraction

All total DNA extraction was performed using the QIAamp DNA Mini Kit (Qiagen, Hilden, Germany) guided by the manufacturer’s protocol. The concentration and quality of extracted DNA were measured using the NanoDrop ND1000 spectrophotometer and 1% gel agarose electrophoresis. All qualified DNAs were stored at −80°C until analysis.

2.3. PCR amplification of mtDNA4977

The multiplex PCR assay was performed to detect mtDNA4977 using two sets of primers (P1/P2 and P3/P4). The primer sequences used were as follows: P1, 5′-CTGAGCCTTTTACCACTCCAG-3′; P2, 5′-GGTGATTGATACTCCTGATGCGA-3′; P3, 5′-CCCACTGTAAAGCTAACTTAGCATTAACCT-3′; P4, 5′-GGTTTCGATGAT GTGGTCTTTGG-3′. Samples were denatured at 94°C for 30 s, followed by 30 cycles of denaturation (94°C for 30 s), annealing (59°C for 30 s), extension (72°C for 1 min), and ultimately, a final extension at 72°C for 10 min. PCR products were visualized using SYBR Green staining, following electrophoresis on 1.5 % agarose gels. In the case of mtDNA4977 detection, another single PCR assay was performed with the second pair of primers for further confirmation of mtDNA4977. Primer pairs used to analyze 4977-bp deletion were as follows: L8150, Forward 5′-CCGGGGGTATACTACGGTCA-3′ and H13650, reverse 5′-GGGGAAGCGAGGTTGACCTG-3′. The PCR conditions were as follows: 35 cycles of 30 s at 94°C for denaturation, 30 s at 58°C for annealing, and 1 min at 72°C for the extension. The final extension was performed at 72°C for 5 min.

2.4. Sanger DNA sequencing

All mtDNA4977 were independently reassessed using Sanger DNA sequencing. Purified PCR products were sequenced using the same primers as that described in the PCR amplification. Sequencing was performed using a Big Dye Terminator cycle sequencing kit (Applied Biosystems Inc., Foster City, CA, USA), according to the manufacturer’s protocol, and sequence reactions were analyzed on an ABI Prism 3700 DNA Analyzer automated sequencer (Applied Biosystems Inc.).

2.5. Statistical analysis

Statistical analyses were performed using GraphPad Prism software version 8.4.1 (GraphPad Software, Inc., San Diego, CA, USA). Demographic parameters of patients were summarized by descriptive statistics, including mean, SD, and range for continuous variables. For categorical variables, frequencies are described as absolute numbers and percentages. The association between mtDNA4977 status and clinicopathological parameters was analyzed using either the chi-square test or Fisher’s exact test. A p-value of <0.05 was considered statistically significant.

3. RESULTS

3.1. Characteristic profile of the study subjects

The main clinicopathological features of the patients are summarized in Table 1. There were 21 males (42%) and 29 females (58%) among 50 CNS tumor patients included in this study, with their age at diagnosis ranging from 15 to 70 years (mean: 51.2 ± 1.90) years.
Table 1

Clinicopathological information of patients with glioma and meningioma

Patients’ parametersn%
Age, y
 <502244
 >502856
 Mean ± SD51.2 ± 1.90
 Range15-70 y
Gender
 Male2142
 Female2958
Tumour type (grade)
 LGG1326
  Pilocytic astrocytoma I24
  Astrocytoma II510
  Ependymoma II48
  Oligodendroglioma II24
 HGG2040
  Anaplastic astrocytoma III48
  Glioblastoma multiforme IV1632
 Meningioma1734

HGG = high-grade glioma; LGG = low-grade glioma.

Clinicopathological information of patients with glioma and meningioma HGG = high-grade glioma; LGG = low-grade glioma. The tumor groups were divided into three groups: 13 patients were included in the LGG group (2 patients with grade I and 11 patients with grade II gliomas), 20 patients were included in the HGG group (4 patients with grade III and 16 patients with grade IV gliomas), and 17 patients were included in the meningioma group, and all these patients were diagnosed with meningioma grade I. Overall, there were 26% of LGG, 40% of HGG, and 34% of meningioma cases.

3.2. Detection of mtDNA4977 in glioma and meningioma patients

To detect mtDNA4977 in glioma and meningioma tissues of patients, mtDNA fragments were amplified using a multiplex PCR assay consisting of two pairs of primers (P1/P2 and P3/P4) (Fig. 1A). One primer pair, P1/P2, was designed to give a 142-bp product at mtDNA nucleotides 9500 to 9641 that are localized inside the mtDNA4977 region. This 142-bp amplicon, corresponding to wild-type mtDNA, was used as an amplification control. Meanwhile, the other pair, P3/P4, that flanked the detected deletion region, allowed only a 262-bp DNA product, in case mtDNA4977 was present. The existence of both amplicons (142 and 262 bp) indicates the presence of heteroplasmy.
Fig. 1

Analysis of the mtDNA4977 by agarose gel electrophoresis. (A) Multiplex PCR was used to amplify mtDNA4977. A 142-bp band corresponds to the wild-type mtDNA and a 262-bp band corresponds to the deleted 4977-bp region. The appearance of both bands indicates the presence of mtDNA4977 (heteroplasmy). The appearance of the only 142-bp band indicates the absence of mtDNA4977. (B) Using the specific primers for validation, a 524-bp PCR product amplified from the mtDNA4977 in tumor patients. The disappearance of any band indicates the absence of mtDNA4977. Lane M: 100-bp DNA marker, Lane 1: Normal sample—no deletion, Lanes 2 to 7: tumor samples.

Analysis of the mtDNA4977 by agarose gel electrophoresis. (A) Multiplex PCR was used to amplify mtDNA4977. A 142-bp band corresponds to the wild-type mtDNA and a 262-bp band corresponds to the deleted 4977-bp region. The appearance of both bands indicates the presence of mtDNA4977 (heteroplasmy). The appearance of the only 142-bp band indicates the absence of mtDNA4977. (B) Using the specific primers for validation, a 524-bp PCR product amplified from the mtDNA4977 in tumor patients. The disappearance of any band indicates the absence of mtDNA4977. Lane M: 100-bp DNA marker, Lane 1: Normal sample—no deletion, Lanes 2 to 7: tumor samples. In the case of mtDNA4977 detection, the second set of PCR primers was used in a single PCR assay, to verify mtDNA4977. In the presence of mtDNA4977, the PCR amplification product was 524 bp in size (Fig. 1B). In the absence of the deletion or for the wild-type mtDNA amplification, there was no product yield because the fragment was too large (>5 kb) to be generated under the conditions used for PCR. mtDNA4977 was identified in the patient tumor tissue, whereas this deletion was not observed in the normal control tissues. The deletion was verified by repeated analyses, which were finally confirmed using Sanger DNA sequencing (Fig. 2).
Fig. 2

Representative Sanger sequencing chromatogram demonstrating confirmation of mtDNA4977 that contains only one of the 13-bp repeat.

Representative Sanger sequencing chromatogram demonstrating confirmation of mtDNA4977 that contains only one of the 13-bp repeat.

3.3. Prevalence of mtDNA4977 and its clinicopathologic correlation

We determined a total of 16 mtDNA4977 present in 50 enrolled patients by performing PCR, followed by sequencing, for validation. mtDNA4977 was discovered in 32% (16/50) of the cases. All paired peripheral blood samples and brain tissue controls were mtDNA4977-negative. The most common mtDNA4977 detected in 55.0% (11/20) of HGG cases, followed by 17.6% (3/17) of meningioma cases, and 15.4% (2/13) of LGG cases. The clinicopathological information of the patients with and without mtDNA4977 is summarized in Table 2. We further assessed the association of mtDNA4977 with the clinicopathological parameters of CNS tumor patients. Regarding tumor grading, we divided the patients into three groups: LGG, HGG, and meningioma.
Table 2

Association between clinicopathological parameters and mtDNA4977 in patients with glioma and meningioma

Patients’ parametersmDNA4977 statusp
mDNA4977+mDNA4977
No. of patients (n)
 5016 (32.0%)34 (68.0%)...
Gender
 Male11 (52.4%)10 (47.6%)0.0137*,a
 Female5 (17.2%)24 (82.8%)
Age, y
 <506 (27.3%)16 (72.7%)0.5589a
 >5010 (35.7%)18 (64.3%)
Tumour type (grade)
 LGG2 (15.4%)11 (84.6%)0.0172*,b
  Pilocytic astrocytoma I0 (0%)2 (100%)
  Astrocytoma II1 (20.0%)4 (80.0%)
  Ependymoma II1 (25.0%)3 (75.0%)
  Oligodendroglioma II0 (0%)2 (100%)
 HGG11 (55.0%)9 (45.0%)
  Anaplastic astrocytoma III2 (50.0%)2 (50.0%)
  Glioblastoma multiforme IV9 (56.3%)7 (43.7%)
Meningioma3 (17.6%)14 (82.4%)

HGG = high-grade glioma; LGG = low-grade glioma.

a p values correspond to two-sided Fisher’s exact test.

b Chi-square test was used; p value <0.05 was considered significant (*p < 0.05).

Association between clinicopathological parameters and mtDNA4977 in patients with glioma and meningioma HGG = high-grade glioma; LGG = low-grade glioma. a p values correspond to two-sided Fisher’s exact test. b Chi-square test was used; p value <0.05 was considered significant (*p < 0.05). Interestingly, in this study, it was revealed that there was a significant association between mtDNA4977 status and tumor groups (p = 0.0172). mtDNA4977 was significantly more frequently detected in the HGG group (55.0%) than in the LGG (15.4%) and meningioma (17.6%) groups. Our data also showed that, mtDNA4977 frequency in male patients was 52.4% (n = 11/21), which was significantly higher than that in female patients (17.2%; n = 5/29) (p = 0.0137). Moreover, mtDNA4977 frequency in the >50 years age group was 35.7% (n = 10/28), which was higher than that in the <50 years age group (27.3%; n = 6/22), but with no statistical significance between them (p = 0.5589). It was concluded that there were significant correlations between mtDNA4977 status with gender and tumor group. However, no significant association was identified between mtDNA4977 status and age.

4. DISCUSSION

Gliomas and meningiomas are the most common types of adult brain tumors in Malaysia (accounting for approximately 28% and 36%, respectively, of brain tumors), with a poor prognosis.[23] The accumulation of genetic alterations is believed to be a direct reflection of the multiple steps involved in brain tumorigenesis. Some reports suggest that mtDNA may be altered in patients with brain tumors.[21,22] The deletion between nucleotides 8470 and 13 447 of the human mitochondrial genome (established known as mtDNA4977), which may lead to OXPHOS system failure, seems to be particularly crucial because of the elimination of some tRNAs and coding region genes, which are essential for the entire normal mitochondrial function and biogenesis process.[24] Also considered as a pathogenic mutation, mtDNA4977 is believed to play a physiological role in energy production catastrophes and aberrant ROS production of human diseases.[25,26] In humans, the brain is the most energy-demanding organ and tends to have a greater number of mitochondria. mtDNA deletions accumulate more rapidly in tissues with greater metabolic activity and a lower cell turnover, such as brain tissues, which leads to an enhanced oxidative stress that may contribute to dramatically accelerate deletions in brain tissues. Mitochondrial OXPHOS is the predominant source of energy in cells, in which the energy transferred by electrons passing through the electron transport chain (ETC). The essential subunits of ETC complexes are encoded by mtDNA. As a consequence of alterations/deletions of mtDNA in cells, in particular mtDNA-encoded core subunits, cells exhibit increased oxidative stress and a defective OXPHOS function, which leads to pro-tumorigenic effects.[27] Complex 1 represents about 40% of the proton-motive energy driving OXPHOS, making it, by far, the largest ETC complex. Complex 1 failure (due to heteroplasmic ND5 mutations) has been demonstrated to induce apoptosis resistance and activation of the PI3K/Akt pathway, which can potentially result in higher tumorigenicity.[28] In addition, the loss or disruption of some mitochondrial tRNA genes, particularly in mtDNA4977, is believed to trigger the impairment of the mtDNA-encoded proteins translation, consequently resulting in an enhanced ROS production and disease.[24,29] mtDNA4977 has been previously reported to accumulate in various disorders, including mitochondrial diseases and many types of cancer.[21,30] The initial finding of mtDNA4977 was described in 1989 by Wallace’s group in a patient with Kearns-Sayre/chronic external ophthalmoplegia plus syndrome,[19] and later it was often reported to accumulate in diverse human tissues with aging.[31,32] mtDNA4977 has been reported in patients with cancer since the earliest descriptions by Máximo et al,[33,34] who revealed a high frequency of mtDNA4977 in primary sporadic gastric carcinomas. Furthermore, mtDNA4977 was discovered to vary between 0% and 100% in a variety of human cancers.[20] In this study, the prevalence of mtDNA4977 in brain tumors, particularly in gliomas and meningiomas, and its association with clinicopathological parameters was investigated. mtDNA4977 was found in 16 patients, resulting in a 32% prevalence among glioma and meningioma cases. To the best of our knowledge, to date, there have been no studies conducted on the mitochondrial genetic alterations involving mtDNA4977 found in brain tumor cases. The present study is believed to be the first report of mtDNA4977 detection in CNS/brain tumor in Malaysia patients. Therefore, there is little comparable data, especially in Asia, due to the limited number of mtDNA4977 studies, mainly in gliomas and meningiomas. By searching the literature published in PubMed, Scopus, Google Scholar, and other databases, mtDNA4977 has been widely studied in breast cancer. A study in Vietnam reported that 68.8% of breast cancer cases had the mtDNA4977,[35] while another study in China reported a 48% mtDNA4977 percentage in the blood of breast carcinoma patients.[36] A separate study conducted in China revealed the accumulation of mtDNA4977 in all cases of primary breast cancer and benign breast disease.[37] Other than breast cancer, mtDNA4977 has also been reported in other cancer types. Perhaps the earliest study, by Lee et al[38] reported a 49% mtDNA4977 percentage in oral cancer Taiwanese patients. A previous study involving Chinese patients performed by Dai et al[39] on lung cancer determined a 54.1% mtDNA4977 frequency. In a study that involved gastric cancer also in China patients, Wang and Lu[40] reported a higher rate (79.6%) of mtDNA4977 in gastric cancer tissues. In 2014, Dimberg et al[41] revealed that 80.7% (71/88) of the colorectal cancer cases in Vietnamese patients were found to have mtDNA4977. A lower percentage of the mtDNA4977 in cancerous tissues has also been reported in other cancers. A study in Taiwan reported that 5% of breast cancer cases had the mtDNA4977,[42] whereas also in Taiwanese cases, Wu et al[43] detected only a 9.7% of mtDNA4977 frequency in gastric carcinomas. In another study, Upadhyay et al[44] identified a low frequency of mtDNA4977 (5.1%) in Indian patients with esophageal cancer. The lower incidence of the mtDNA4977 has also been identified in hepatocellular cancer in Korean (11.1%) and Chinese (9.52%) patients, in two previous studies by Gwak et al[45] and Guo et al,[46] respectively. Compared with the previous studies for all different types of cancer in Asia, the prevalence of mtDNA4977 in this study was comparable to that in other Asian countries. Research on mtDNA4977 from various cancer cases outside Asia reported higher prevalence results, compared with this study. Studies from Caucasian populations, such as the United States, Brazil, and Poland, reported a prevalence of mtDNA4977 in breast,[47] colorectal,[48] and endometrial cancer,[49] of 46.2%, 52.2%, and 81%, respectively. A study in Argentina by Pavicic and Richard[50] reported a prevalence of this deletion of 45.3% in breast cancer. A Swedish study by Dimberg et al[41] yielded a prevalence of 67.6% in colorectal cancer samples, which is twice the value obtained in this study. Genetic variations among racial/ethnic groups, as well as the difference in cancer types, may influence the wide variation of mtDNA4977 rates in Asian and Caucasian populations. Although numerous studies in different populations have been performed to determine associations between the mtDNA4977 and various types of cancer, to date, no study has been conducted in brain tumor cases. Due to the limitations of existing data, the exact role of mtDNA4977 in brain tumorigenesis is still unknown. However, it has been hypothesized that mtDNA deletions might appear either through spontaneous errors during mtDNA replication (replication slippage) or aberrancy of double-strand break repair (DBS).[51-54] Furthermore, it has been clarified that mtDNA4977 is generated as a consequence of frequent fork stalling, a process that is mediated by the mitochondrial replisome, but independent of canonical DSB repair.[55] It is also believed that increased oxidative stress in cancer cells results in genomic instability in both mitochondria and the nucleus.[56] Therefore, it is suggested that under oxidative stress conditions, excessive ROS production can trigger the accumulation of deletions.[57-59] The mitochondrial genome with the deleted 4977 bp has been noted to contribute to a deficient mitochondrial bioenergetic state.[24,25] Wei and his colleagues demonstrated that a self-accelerating vicious cycle of mitochondrial ROS is induced in cybrids harboring mtDNA4977, following a brief intense oxidative stress treatment.[60] These outcomes suggest that mtDNA4977 plays a pivotal role in the pathophysiology process of the disease.[60] mtDNA deletion can result in elevated oxidative stress, which, in turn, creates more accumulation of the deleted mtDNA in cells. On the other hand, external environmental factors (including ionizing radiation, ultraviolet radiation, and exogenous chemicals) are thought to have an impact on mtDNA4977 formation.[61-65] The combination of endogenous and exogenous factors may lead to deletion accumulation of mtDNA, which in turn may lead to the induction of human cancer. mtDNA4977 was detected in some tumor tissues, and this deletion was absent in all peripheral blood of patients and normal brain tissue subjects. It has been acknowledged that post-mitotic highly aerobic tissues (contain large numbers of mitochondria), such as the brain, skeletal muscle, kidneys, and heart, tend to be the most affected, but theoretically, any organ can be involved.[66-68] Moreover, cancer cells require sufficient energy to support their uncontrolled rapid proliferation. Therefore, it is relevant that mtDNA alterations are often found at certain levels in post-mitotic tissues, as the clonal expansion of aberrations exists within these cells over time. Wallace[69] demonstrated high levels of clonally expanded mtDNA mutations in the brain and skeletal muscles. The rationale for the absence of deletions in other patients might be that cells undergo apoptosis when the mitochondrial mutation load increases to a certain threshold value.[43] Brain tumor cells, mostly high-grade tumors, tend to grow and spread more rapidly, and have the ability to invade and destroy the surrounding normal brain tissues. Besides, this tumor is difficult to remove without excessive damage to nearby normal brain tissues. Due to these reasons, non-tumor tissues adjacent to the tumor tissues were not used in this study. Alternatively, the patient’s peripheral blood, as well as normal human brain tissues obtained from motor vehicle accidents, served as a control. In the present study, we found a significant correlation between mtDNA4977 and the tumor group (LGG, HGG, and meningioma), which means mtDNA4977 was more common in HGG than in other groups (p = 0.0172). It was also revealed that mtDNA4977 status was significantly correlated with the gender group (p = 0.0137). Notably, it was identified that the mtDNA4977 frequency in the <50-year cases was only 27%, lower than that in the >50-year samples (35.7%), despite the lack of statistical significance between them (p = 0.5589). In colorectal cancer research, Dimberg et al[41] observed that there was no statistically significant association between mtDNA4977 and clinical parameters, such as gender, age, and tumor localization. Most of the findings from previous studies of mtDNA4977 in human cancer reported no correlation with clinicopathological features. Discrepancies in population characteristics and research methods may have also contributed to the prevalence of mtDNA4977 in this study. The older age cases in this study may have influenced the deletion prevalence, as mtDNA4977 has been found to be significantly higher in elderly individuals.[15,70,71] Corral-Debrinski et al[70] suggested that the accumulation of mtDNA deletions might contribute to the neurological impairment, often associated with human aging. More advanced or combination methods (such as real-time quantitative PCR, next-generation sequencing) could be used for further investigation to enhance the sensitivity of mtDNA4977 detection. In conclusion, we demonstrated that the overall prevalence of mtDNA4977 in glioma and meningioma patients was 32%, which is in agreement with previously published results. There was a significant correlation between mtDNA4977 and the tumor group, which shows that mtDNA4977 was higher in the HGG group than in the LGG, and meningioma groups. Also, a statistically significant difference was found between mtDNA4977 and gender, which indicates that mtDNA4977 was prevalent in males than in females. This study provides initial insights into how mtDNA4977 might contribute to brain tumor, and this finding can serve as new data for the global database of mtDNA mutations. Further studies with a larger sample sizes (with the extended follow-up and survival rate data) are required to investigate mtDNA4977 and its associated clinicopathological features. A more detailed analysis is necessary to establish the exact role of this mitochondrial genetic alteration in brain tumor cases in the Malaysian population.

ACKNOWLEDGMENTS

This study was supported by the Research University Grant (RUI) from Universiti Sains Malaysia (Research University Grant: 1001/PPSP/8012218 and 1001/PPSP/8012242). We thank Mrs. Wan Salihah Wan Abdullah for her technical assistance in the Lab.
  69 in total

1.  Microsatellite instability, mitochondrial DNA large deletions, and mitochondrial DNA mutations in gastric carcinoma.

Authors:  V Máximo; P Soares; R Seruca; A S Rocha; P Castro; M Sobrinho-Simões
Journal:  Genes Chromosomes Cancer       Date:  2001-10       Impact factor: 5.006

Review 2.  The 2016 World Health Organization Classification of Tumors of the Central Nervous System: a summary.

Authors:  David N Louis; Arie Perry; Guido Reifenberger; Andreas von Deimling; Dominique Figarella-Branger; Webster K Cavenee; Hiroko Ohgaki; Otmar D Wiestler; Paul Kleihues; David W Ellison
Journal:  Acta Neuropathol       Date:  2016-05-09       Impact factor: 17.088

3.  Mitochondrial respiratory complex I dysfunction promotes tumorigenesis through ROS alteration and AKT activation.

Authors:  Lokendra Kumar Sharma; Hezhi Fang; Jiangtao Liu; Rasika Vartak; Janice Deng; Yidong Bai
Journal:  Hum Mol Genet       Date:  2011-09-02       Impact factor: 6.150

Review 4.  Mitochondrial DNA sequence variation in human evolution and disease.

Authors:  D C Wallace
Journal:  Proc Natl Acad Sci U S A       Date:  1994-09-13       Impact factor: 11.205

5.  Deletions of mitochondrial DNA in Kearns-Sayre syndrome.

Authors:  M Zeviani; C T Moraes; S DiMauro; H Nakase; E Bonilla; E A Schon; L P Rowland
Journal:  Neurology       Date:  1988-09       Impact factor: 9.910

Review 6.  An overview of meningiomas.

Authors:  Robin A Buerki; Craig M Horbinski; Timothy Kruser; Peleg M Horowitz; Charles David James; Rimas V Lukas
Journal:  Future Oncol       Date:  2018-08-07       Impact factor: 3.404

7.  Cancer cell mitochondria confer apoptosis resistance and promote metastasis.

Authors:  Mariola Kulawiec; Kjerstin M Owens; Keshav K Singh
Journal:  Cancer Biol Ther       Date:  2009-07-16       Impact factor: 4.742

8.  Quantitative analysis of mitochondrial DNA 4977-bp deletion in sporadic breast cancer and benign breast diseases.

Authors:  Chuanzhong Ye; Xiao-Ou Shu; Wanqing Wen; Larry Pierce; Regina Courtney; Yu-Tang Gao; Wei Zheng; Qiuyin Cai
Journal:  Breast Cancer Res Treat       Date:  2007-05-31       Impact factor: 4.872

9.  Deletion of a 4977-bp Fragment in the Mitochondrial Genome Is Associated with Mitochondrial Disease Severity.

Authors:  Yanchun Zhang; Yinan Ma; Dingfang Bu; Hui Liu; Changyu Xia; Ying Zhang; Sainan Zhu; Hong Pan; Pei Pei; Xuefei Zheng; Songtao Wang; Yufeng Xu; Yu Qi
Journal:  PLoS One       Date:  2015-05-29       Impact factor: 3.240

10.  Mitochondrial electron transport chain, ROS generation and uncoupling (Review).

Authors:  Ru-Zhou Zhao; Shuai Jiang; Lin Zhang; Zhi-Bin Yu
Journal:  Int J Mol Med       Date:  2019-05-08       Impact factor: 4.101

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Review 1.  Research highlights on contributions of mitochondrial DNA microsatellite instability in solid cancers - an overview.

Authors:  Abdul Aziz Mohamed Yusoff; Siti Muslihah Abd Radzak; Siti Zulaikha Nashwa Mohd Khair
Journal:  Contemp Oncol (Pozn)       Date:  2022-03-30

Review 2.  The Uprising of Mitochondrial DNA Biomarker in Cancer.

Authors:  Siti Zulaikha Nashwa Mohd Khair; Siti Muslihah Abd Radzak; Abdul Aziz Mohamed Yusoff
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