Biomarkers of mitochondrial origin: a futuristic cancer diagnostic.
Sukanya GayanGargee JoshiTuli DeyPublished in: Integrative biology : quantitative biosciences from nano to macro (2022)
Cancer is a highly fatal disease without effective early-stage diagnosis and proper treatment. Along with the oncoproteins and oncometabolites, several organelles from cancerous cells are also emerging as potential biomarkers. Mitochondria isolated from cancer cells are one such biomarker candidates. Cancerous mitochondria exhibit different profiles compared with normal ones in morphology, genomic, transcriptomic, proteomic and metabolic landscape. Here, the possibilities of exploring such characteristics as potential biomarkers through single-cell omics and Artificial Intelligence (AI) are discussed. Furthermore, the prospects of exploiting the biomarker-based diagnosis and its futuristic utilization through circulatory tumor cell technology are analyzed. A successful alliance of circulatory tumor cell isolation protocols and a single-cell omics platform can emerge as a next-generation diagnosis and personalized treatment procedure.
Keyphrases
- single cell
- artificial intelligence
- rna seq
- high throughput
- early stage
- papillary thyroid
- machine learning
- deep learning
- big data
- induced apoptosis
- oxidative stress
- squamous cell
- extracorporeal membrane oxygenation
- gene expression
- cell therapy
- sentinel lymph node
- current status
- copy number
- young adults
- genome wide
- cell cycle arrest
- lymph node
- childhood cancer