Basic Science with Preclinical Models to Investigate and Develop Liquid Biopsy: What Are the Available Data and Is It a Fruitful Approach?
Benedetta CenaEmmanuel MelloulNicolas DemartinesOlivier DormondIsmail LabgaaPublished in: International journal of molecular sciences (2022)
The molecular analysis of circulating analytes (circulating tumor-DNA (ctDNA), -cells (CTCs) and -RNA (ctRNA)/exosomes) deriving from solid tumors and detected in the bloodstream-referred as liquid biopsy-has emerged as one of the most promising concepts in cancer management. Compelling data have evidenced its pivotal contribution and unique polyvalence through multiple applications. These data essentially derived from translational research. Therewith, data on liquid biopsy in basic research with preclinical models are scarce, a concerning lack that has been widely acknowledged in the field. This report aimed to comprehensively review the available data on the topic, for each analyte. Only 17, 17 and 2 studies in basic research investigated ctDNA, CTCs and ctRNA/exosomes, respectively. Albeit rare, these studies displayed noteworthy relevance, demonstrating the capacity to investigate questions related to the biology underlying analytes release that could not be explored via translational research with human samples. Translational, clinical and technological sectors of liquid biopsy may benefit from basic research and should take note of some important findings generated by these studies. Overall, results underscored the need to intensify the efforts to conduct future studies on liquid biopsy in basic research with new preclinical models.
Keyphrases
- circulating tumor
- circulating tumor cells
- electronic health record
- ultrasound guided
- fine needle aspiration
- big data
- ionic liquid
- stem cells
- case control
- mesenchymal stem cells
- public health
- endothelial cells
- cell free
- cell therapy
- mass spectrometry
- squamous cell carcinoma
- single molecule
- quality improvement
- oxidative stress
- high resolution
- papillary thyroid
- deep learning
- current status
- multidrug resistant
- signaling pathway
- artificial intelligence
- cell proliferation
- cell death
- lymph node metastasis
- drug induced