The analysis of circulating tumor cells (CTCs) is important for cancer diagnosis and prognosis. Microfluidics has been employed for CTC analysis due to its scaling advantages and high performance. However, pre-analytical methods for CTC sample preparation are often combined with microfluidic platforms because a large sample volume is required to detect extremely rare CTCs. Among pre-analytical methods, Ficoll-Paque ™ , OncoQuick ™ , and RosetteSep ™ are commonly used to separate cells of interest. To compare their performance, we spiked L3.6pl pancreatic cancer cells into healthy blood samples and then employed each technique to prepare blood samples, followed by using a microfluidic platform to capture and detect L3.6pl cells. We found these three methods have similar performance, though the slight edge of RosetteSep ™ over Ficoll-Paque ™ is statistically significant. We also studied the effects of the tumor cell concentrations on the performance of the frequently used Ficoll-Paque ™ method. Furthermore, we examined the repeatability and variability of each pre-analytical technique and the microfluidics-enabled detection. This study will provide researchers and clinicians with comparative data that can influence the choice of sample preparation method, help estimate CTC loss in each pre-analytical method, and correlate the results of clinical studies that employ different techniques.
Keyphrases
- circulating tumor cells
- induced apoptosis
- circulating tumor
- single cell
- cell cycle arrest
- liquid chromatography
- molecularly imprinted
- cell therapy
- stem cells
- papillary thyroid
- squamous cell carcinoma
- high throughput
- signaling pathway
- cell death
- machine learning
- mass spectrometry
- mesenchymal stem cells
- cell proliferation
- deep learning
- artificial intelligence
- decision making
- bone marrow
- real time pcr
- high resolution
- cell free
- data analysis