Classification of formalin-fixed bladder cancer cells with laser tweezer Raman spectroscopy.
Nga Tsing TangRichard RobinsonRichard D SnookMichael D BrownNoel W ClarkePeter GardnerPublished in: The Analyst (2023)
Bladder cancer is a common cancer that is relatively hard to detect at an early stage because of its non-obvious symptoms. It is known that bladder cells can be found in urine samples which potentially could be used for early detection of bladder cancer. Raman spectroscopy is a powerful non-invasive tool for accessing biochemical information of cells. Combined with laser tweezers, to allow isolation of single cells, Raman spectroscopy has been used to characterise a number of bladder cells that might be found in a urine sample. Using principal component-canonical variates analysis (PC-CVA) and k -fold validation, the results shows that the invasive bladder cancer cells can be identified with accuracy greater than 87%. This demonstrates the potential of developing an early detection method that identifies the invasive bladder cancer cells in urine samples.
Keyphrases
- raman spectroscopy
- induced apoptosis
- spinal cord injury
- cell cycle arrest
- early stage
- endoplasmic reticulum stress
- squamous cell carcinoma
- machine learning
- healthcare
- urinary tract
- oxidative stress
- dna methylation
- lymph node
- signaling pathway
- high resolution
- genome wide
- pi k akt
- depressive symptoms
- cell proliferation
- risk assessment
- social media
- human health
- childhood cancer