Multiplex bioimaging of single-cell spatial profiles for precision cancer diagnostics and therapeutics.
Mayar AllamShuangyi CaiAhmet F CoskunPublished in: NPJ precision oncology (2020)
Cancers exhibit functional and structural diversity in distinct patients. In this mass, normal and malignant cells create tumor microenvironment that is heterogeneous among patients. A residue from primary tumors leaks into the bloodstream as cell clusters and single cells, providing clues about disease progression and therapeutic response. The complexity of these hierarchical microenvironments needs to be elucidated. Although tumors comprise ample cell types, the standard clinical technique is still the histology that is limited to a single marker. Multiplexed imaging technologies open new directions in pathology. Spatially resolved proteomic, genomic, and metabolic profiles of human cancers are now possible at the single-cell level. This perspective discusses spatial bioimaging methods to decipher the cascade of microenvironments in solid and liquid biopsies. A unique synthesis of top-down and bottom-up analysis methods is presented. Spatial multi-omics profiles can be tailored to precision oncology through artificial intelligence. Data-driven patient profiling enables personalized medicine and beyond.
Keyphrases
- single cell
- rna seq
- artificial intelligence
- high throughput
- induced apoptosis
- cell cycle arrest
- end stage renal disease
- endothelial cells
- machine learning
- newly diagnosed
- quantum dots
- ejection fraction
- big data
- palliative care
- high resolution
- minimally invasive
- fluorescent probe
- escherichia coli
- stem cells
- prognostic factors
- living cells
- squamous cell carcinoma
- young adults
- gene expression
- papillary thyroid
- signaling pathway
- case report
- bone marrow
- pi k akt
- ionic liquid
- lymph node metastasis
- photodynamic therapy
- dna methylation
- klebsiella pneumoniae
- ultrasound guided