Mitochondrial DNA sequence variation and risk of glioma

Glioma grade and mortality in relation to sequence variation in the mitochondrial genome

PURPOSE

Glioma arises from glial cells and comprises ∼80 % of malignant adult brain tumors. The polymorphic mitochondrial genome plays a key role in maintaining redox homeostasis and generation of reactive oxygen species (ROS). ROS have a well-established role in glial tumors. We investigated associations between germline mtDNA variants and haplogroups with glioma grade and glioblastoma (GBM) survival.

METHODS

We conducted germline mtDNA sequencing for 388 patients (300 Caucasians, 88 African Americans [AA]) with incident glioma (105 non-GBM, 283 GBM). Across all patients we identified 1431 homoplasmic mtDNA variants, including 692 variants observed only in Caucasians, 474 only in AAs, and 265 in both groups. We estimated Odds Ratios (OR) and 95 % Confidence Intervals (CI) for mtDNA common variants, haplogroups, and gene variant burden in relation to glioma grade and tertiles of survival in GBM patients. Bonferroni and Benjamini-Hochberg correction were applied for multiple comparisons.

RESULTS

No mtDNA haplogroup was associated with glioma grade or patient survival in GBM. Common variants m.3010G>A, m.195T>C, and m.16189T>C were linked to lower-grade glioma risk. For GBM survival, m.1719G>A, m.14766T>C, m.16129G>A, and m.204T>C were associated with a poorer prognosis while variant m.73A>G was associated with an improved prognosis. A higher variant burden in MT-ND1 and MT-ND5 was associated with a better prognosis. No results remained statistically significant after correction.

CONCLUSION

This is the first comprehensive study of germline mtDNA sequence variation in relation to glioma grade at diagnosis and gliobastoma patient survival. Results warrant further study in larger populations and investigation of biologic mechanisms linking mtDNA polymorphism to these endpoints.

Mitochondrial DNA Haplogroups and SNPs: Risk Factors in Multiple Cancers Based on a Cross-Tumor Analysis in Chinese Population

BACKGROUND

Mitochondrial DNA's (mtDNA) haplogroups and SNPs were associated with the risk of different cancer. However, there is no evidence that the same haplogroup or mitochondrial SNP (mtSNP) exhibits the pleiotropic effect on multiple cancers.

METHODS

We recruited 2,489 participants, including patients with colorectal, hepatocellular, lung, ovarian, bladder, breast, pancreatic, and renal cell carcinoma. In addition, 715 healthy individuals from Northern China served as controls. Next, cross-tumor analysis was performed to determine whether mtDNA variation is associated with multiple cancers.

RESULTS

Our results revealed a significant decrease in the occurrence risk of multiple cancers among individuals belonging to haplogroup A [OR = 0.553, 95% confidence interval (CI) = 0.375-0.815, P = 0.003]. Furthermore, we identified 11 mtSNPs associated with multiple cancers and divided the population into high-risk and low-risk groups. Low-risk groups showed a significantly reduced risk of occurrence compared with high-risk groups (OR = 0.614, 95% CI = 0.507-0.744, P < 0.001). Furthermore, using interaction analysis, we identified a special group of individuals belonging to haplogroup A/M7 and the low-risk population, who exhibit a lower risk of multiple cancers compared with other populations (OR = 0.195, 95% CI = 0.106-0.359, P < 0.001). Finally, gene set enrichment analysis confirmed that haplogroup A/M7 patients had lower expression levels of cancer-related pathway genes compared with haplogroup D patients.

CONCLUSIONS

We found that specific mtDNA haplogroups and mtSNPs may play a role in predicting multiple cancer predisposition in Chinese populations.

IMPACT

This may provide a potential tool for early screening in clinical settings for individuals in the Chinese population.