Clinical cancer genomic profiling.
Debyani ChakravartyDavid B SolitPublished in: Nature reviews. Genetics (2021)
Technological innovation and rapid reduction in sequencing costs have enabled the genomic profiling of hundreds of cancer-associated genes as a component of routine cancer care. Tumour genomic profiling can refine cancer subtype classification, identify which patients are most likely to benefit from systemic therapies and screen for germline variants that influence heritable cancer risk. Here, we discuss ongoing efforts to enhance the clinical utility of tumour genomic profiling by integrating tumour and germline analyses, characterizing allelic context and identifying mutational signatures that influence therapy response. We also discuss the potential clinical utility of more comprehensive whole-genome and whole-transcriptome sequencing and ultra-sensitive cell-free DNA profiling platforms, which allow for minimally invasive, serial analyses of tumour-derived DNA in blood.
Keyphrases
- single cell
- copy number
- rna seq
- minimally invasive
- papillary thyroid
- genome wide
- high throughput
- ejection fraction
- end stage renal disease
- machine learning
- gene expression
- squamous cell carcinoma
- newly diagnosed
- stem cells
- transcription factor
- circulating tumor
- bone marrow
- single molecule
- childhood cancer
- robot assisted
- dna damage
- smoking cessation