| Literature DB >> 32235479 |
Leonie Konczalla1, Anna Wöstemeier1, Marius Kemper1, Karl-Frederik Karstens1, Jakob Izbicki1, Matthias Reeh1.
Abstract
The idea of a liquid biopsy to screen, surveil and treat cancer patients is an intensively discussed and highly awaited tool in the field of oncology. Despite intensive research in this field, the clinical application has not been implemented yet and further research has to be conducted. However, one component of the liquid biopsy is circulating tumor cells (CTCs) whose potential for clinical application is evaluated in the following. CTCs can shed from primary tumors to the peripheral blood at any time point during the progress of a malignant disease. Following, one single CTC can be the origin for distant metastasis at later cancer stage. Thus, CTCs have great potential to either be used in cancer diagnostics and patient stratification or to function as a target for new therapeutic approaches to stop tumor dissemination and metastasis at the very early beginning. Due to the biological fundamental role of CTCs in tumor progression, here, we provide an overview of CTCs in gastrointestinal cancers and their potential use in the clinical setting. In particular, we discuss the usage of CTC for screening and stratifying patients' risk. Moreover, we will discuss the potential role of CTCs for treatment specification and treatment monitoring.Entities:
Keywords: cancer diagnosis; circulating tumor cells; free DNA; liquid biopsy; solid cancer/tumor
Year: 2020 PMID: 32235479 PMCID: PMC7235836 DOI: 10.3390/diagnostics10040192
Source DB: PubMed Journal: Diagnostics (Basel) ISSN: 2075-4418
Figure 1Clinical applications of CTC diagnostic in cancer patients at different timepoints of disease and therapy.
Clinical significance of CTCs in gastrointestinal cancers as tools for screening, staging, prognosis prediction, therapy alignment and monitoring.
| Author, Year | Entity | No. of Patients | Detection Method | CTC No. (%) | End-Point | Clinical Significance | |
|---|---|---|---|---|---|---|---|
|
| Kang et al., 2017 [ | Gastric cancer | 116 | FAST | 99 (85) | - | - |
| Sefrioui et al., 2017 [ | Pancreatic cancer | 49 | size-based Screencell Cyto filtration | 33 (67) | - | no | |
| Rosenbaum et al., 2017 [ | Pancreatic cancer | 171 | CellSearch | 115 (67) | - | No, low specificity for PDAC (63%) | |
| Castro et al., 2018 [ | Healthy people | 3388 | CellSearch | - | - | Ongoing ICELLATE2 study | |
| Yang et al., 2018 [ | Gastric cancer | 40 | Microfluidic chip | 20 (75) | - | yes | |
|
| Qiao et al., 2017 [ | Esophageal squamous cell carcinoma | 103 | FACS | 47/59 (80) | OS; PFS | yes |
| Pernot et al., 2017 [ | Gastric and esopahgeal junction cancer | 60 | CellSearch | - | OS; PFS; treatment monitoring | yes | |
| Konczalla et al., 2019 [ | Esophageal cancer | 76 | CellSearch | 15 (20) | OS; PFS | yes, CTC count as predictive marker in non-metastatic disease | |
| Reeh et al., 2015 [ | Esophageal cancer | 100 | CellSearch | 18 (18) | OS; PFS | yes | |
| Effenberger et al., 2018 [ | Pancreatic cancer | 69 | CellSearch | 23 (33) | OS; PFS | yes | |
| Buscail et al., 2019 [ | Pancreatic cancer | 22 PDAC 28 healthy controls | CellSearch/RosettSep/Oncoquick | CellSearch: Peripheral 2 (22); portal vein 5 (22) | OS; PFS | yes, combination of two sampling sites and combination with tumor exosome analysis are sensitive prognosis prediction tools | |
| Amantini et al., 2019 [ | Pancreatic cancer | 20 | ScreenCell | 20 (20) | OS; PFS; molecular expression pattern | yes | |
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| Yin et al., 2012 [ | Esophageal cancer | 72 | rT-PCR | - | Radiotherapy (RT) response | Yes, CTC count variation due to RT correlated with response rate | |
| Brabender et al., 200 [ | Esophageal cancer | 29 | rT-PCR | - | - | Yes, reduced chemotherapy response in patients with ERCC1 positive CTCs | |
| Lankiewicz et al., 2008 [ | Colorectal cancer | 34 | Multiplex PCR | 20 (59) | - | Yes, CTC cound predicts chemotherapy response, moreover EGFR status of CTCs could predict likelihood of targeted therapy response | |
| Gazzaniga et al., 2010 [ | Colorectal cancer | 40 | CELLection Dynabeads® | 27 (68) | PFS; OS; molecular expression pattern | Yes, patients with ALDH1, survivin and MRP5 positive CTCs had significantly shorter PFS | |
| Takeda et al., 2019 [ | Colorectal cancer | 34 | Microfluidic chips | 34 | - | Comparison of mutational status of CTCs, ctDNA and primary tumor tissue revealed great heterogeneity | |
| Iwatsuki et al., 2013 [ | Gastric cancer | 87 | CellSearch | 62 (71) | - | Yes, 36% of discordant HER2 status between primary tumor and CTCs, predict likelihood of targeted therapy response | |
| Kolodziejczyk et al., 2007 [ | Gastric cancer | 32 | FACS | - | - | Yes, neo-adjuvant chemotherapy significantly reduces CTC count in responders | |
| Neki et al., 2013 [ | Colorectal cancer | 14 | CellSearch | 14; 4 (29) after chemotherapy | PFS; OS; | Yes, CTC negative patients after chemotherapy had significantly better treatment response | |
| Lu et al., 2011 [ | Colorectal cancer | 141 | rT-PCR | 141 (100) | PFS; OS | Yes, CTC persistence after surgical resection was a significant marker for early recurrence | |
| Tol et al., 2009 [ | Colorectal cancer | 467 | CellSearch | 467 (100) | PFS; OS; | CTC count provides additional information to CT imaging for early recurrence monitoring |
Figure 2Workflow of liquid biopsy with CTC enrichment and following detection by either immunocytological detection, genome-based identification via pRT-PCR or functional secretion assays of viable CTCs.