Metabolic Lipids in Melanoma Enable Rapid Determination of Actionable BRAF-V600E Mutation with Picosecond Infrared Laser Mass Spectrometry in 10 s.
Lauren KatzTaira KiyotaMichael WoolmanMegan WuLayla PiresAlexa FioranteLan Anna YeWey LeongHal K BermanDanny GhazarianHoward J GinsbergSunit DasAhmed M AmanArash Zarrine-AfsarPublished in: Analytical chemistry (2023)
Rapid molecular profiling of biological tissues with picosecond infrared laser mass spectrometry (PIRL-MS) has enabled the detection of clinically important histologic types and molecular subtypes of human cancers in as little as 10 s of data collection and analysis time. Utilizing an engineered cell line model of actionable BRAF-V600E mutation, we observed statistically significant differences in 10 s PIRL-MS molecular profiles between BRAF-V600E and BRAF-wt cells. Multivariate statistical analyses revealed a list of mass-to-charge ( m / z ) values most significantly responsible for the identification of BRAF-V600E mutation status in this engineered cell line that provided a highly controlled testbed for this observation. These metabolites predicted BRAF-V600E expression in human melanoma cell lines with greater than 98% accuracy. Through chromatography and tandem mass spectrometry analysis of cell line extracts, a 30-member "metabolite array" was characterized for determination of BRAF-V600E expression levels in subcutaneous melanoma xenografts with an average sensitivity and specificity of 95.6% with 10 s PIRL-MS analysis. This proof-of-principle work warrants a future large-scale study to identify a metabolite array for 10 s determination of actionable BRAF-V600E mutation in human tissue to guide patient care.
Keyphrases
- mass spectrometry
- liquid chromatography
- metastatic colorectal cancer
- tandem mass spectrometry
- high performance liquid chromatography
- wild type
- gas chromatography
- endothelial cells
- solid phase extraction
- high resolution
- ms ms
- ultra high performance liquid chromatography
- multiple sclerosis
- poor prognosis
- high resolution mass spectrometry
- induced pluripotent stem cells
- simultaneous determination
- gene expression
- pluripotent stem cells
- data analysis
- electronic health record
- high throughput
- signaling pathway
- artificial intelligence
- big data
- current status
- endoplasmic reticulum stress
- sensitive detection