Mitochondrial Heteroplasmy Shifting as a Potential Biomarker of Cancer Progression.
Carlos Jhovani Pérez-AmadoAmellalli Bazan-CordobaAlfredo Hidalgo-MirandaSilvia Jiménez-MoralesPublished in: International journal of molecular sciences (2021)
Cancer is a serious health problem with a high mortality rate worldwide. Given the relevance of mitochondria in numerous physiological and pathological mechanisms, such as adenosine triphosphate (ATP) synthesis, apoptosis, metabolism, cancer progression and drug resistance, mitochondrial genome (mtDNA) analysis has become of great interest in the study of human diseases, including cancer. To date, a high number of variants and mutations have been identified in different types of tumors, which coexist with normal alleles, a phenomenon named heteroplasmy. This mechanism is considered an intermediate state between the fixation or elimination of the acquired mutations. It is suggested that mutations, which confer adaptive advantages to tumor growth and invasion, are enriched in malignant cells. Notably, many recent studies have reported a heteroplasmy-shifting phenomenon as a potential shaper in tumor progression and treatment response, and we suggest that each cancer type also has a unique mitochondrial heteroplasmy-shifting profile. So far, a plethora of data evidencing correlations among heteroplasmy and cancer-related phenotypes are available, but still, not authentic demonstrations, and whether the heteroplasmy or the variation in mtDNA copy number (mtCNV) in cancer are cause or consequence remained unknown. Further studies are needed to support these findings and decipher their clinical implications and impact in the field of drug discovery aimed at treating human cancer.
Keyphrases
- mitochondrial dna
- copy number
- papillary thyroid
- squamous cell
- oxidative stress
- endothelial cells
- healthcare
- squamous cell carcinoma
- cardiovascular disease
- public health
- cell death
- drug discovery
- genome wide
- childhood cancer
- dna methylation
- machine learning
- coronary artery disease
- endoplasmic reticulum stress
- climate change
- electronic health record
- minimally invasive
- deep learning
- signaling pathway
- social media