Back to Search
Start Over
Label-free microfluidic enrichment of cancer cells from non-cancer cells in ascites
- Source :
- Scientific Reports, Vol 11, Iss 1, Pp 1-9 (2021), Scientific Reports
- Publication Year :
- 2021
- Publisher :
- Nature Portfolio, 2021.
-
Abstract
- The isolation of a patient's metastatic cancer cells is the first, enabling step toward treatment of that patient using modern personalized medicine techniques. Whereas traditional standard-of-care approaches select treatments for cancer patients based on the histological classification of cancerous tissue at the time of diagnosis, personalized medicine techniques leverage molecular and functional analysis of a patient's own cancer cells to select treatments with the highest likelihood of being effective. Unfortunately, the pure populations of cancer cells required for these analyses can be difficult to acquire, given that metastatic cancer cells typically reside in fluid containing many different cell populations. Detection and analyses of cancer cells therefore require separation from these contaminating cells. Conventional cell sorting approaches such as Fluorescence Activated Cell Sorting or Magnetic Activated Cell Sorting rely on the presence of distinct surface markers on cells of interest which may not be known nor exist for cancer applications. In this work, we present a microfluidic platform capable of label-free enrichment of tumor cells from the ascites fluid of ovarian cancer patients. This approach sorts cells based on differences in biomechanical properties, and therefore does not require any labeling or other pre-sort interference with the cells. The method is also useful in the cases when specific surface markers do not exist for cells of interest. In model ovarian cancer cell lines, the method was used to separate invasive subtypes from less invasive subtypes with an enrichment of ~ sixfold. In ascites specimens from ovarian cancer patients, we found the enrichment protocol resulted in an improved purity of P53 mutant cells indicative of the presence of ovarian cancer cells. We believe that this technology could enable the application of personalized medicine based on analysis of liquid biopsy patient specimens, such as ascites from ovarian cancer patients, for quick evaluation of metastatic disease progression and determination of patient-specific treatment.
- Subjects :
- Cell biology
Science
Cell
Gene Expression
Cell Separation
Models, Biological
Article
medicine
Biomarkers, Tumor
Ascitic Fluid
Humans
Neoplasm Invasiveness
Liquid biopsy
Precision Medicine
Cancer
Ovarian Neoplasms
Multidisciplinary
Magnetic-activated cell sorting
business.industry
Liquid Biopsy
Ascites
High-Throughput Nucleotide Sequencing
Cell sorting
Microfluidic Analytical Techniques
Translational research
medicine.disease
Neoplastic Cells, Circulating
Biomechanical Phenomena
medicine.anatomical_structure
Cancer cell
Mutation
Cancer research
Medicine
Female
Personalized medicine
Tumor Suppressor Protein p53
Ovarian cancer
business
Multiplex Polymerase Chain Reaction
Biomarkers
Subjects
Details
- Language :
- English
- ISSN :
- 20452322
- Volume :
- 11
- Issue :
- 1
- Database :
- OpenAIRE
- Journal :
- Scientific Reports
- Accession number :
- edsair.doi.dedup.....9cb7b0c686b40f54afaada7e93d4d0f5