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The presence of Circulating tumor cells in blood of patients with solid tumors has been a topic of investigation for over 60 years7 and has been recognized as a primary liquid biopsy from before their first inclusion into the collective term in 20108. However, CTCs are rare, and they are difficult to selectively isolate from whole blood9. There are however numerous methods for capturing and enriching CTCs, as illustrated by the following reviews10,11, covering physical/microfluidic approaches as well as cell surface marker selection methods. Many of these methods are time consuming, labor intensive and often involve multiple steps/systems to achieve the required selectivity.
Capture of CTCs from whole blood in this protocol is reliant on their size (> 8 µm) and lack of deformity in the background of phenotypically normal red and white blood cells that pass through the microfluidics pores within the microfluidic cell capture slides. Therefore, correct sample loading, proper slide priming, and prevention of clogging are critical steps for maintaining capture efficiency and sample recovery.
For the workflow to be successful, blood sample management is the key factor; ensuring that fresh blood is utilized for sample processing and maintaining the correct transport and storage conditions to prevent hemolysis. Degradation of red blood cells or white blood cells will impact quality of CTC capture and sensitivity of detection of any rare genomic variants, respectively. If hemolysis, clotting, or visible sample degradation is observed, the sample should not be processed, as these conditions may reduce CTC recovery and downstream mutation detection sensitivity.
Since CTCs can be present at levels below 1 CTC per 10 million white blood cells in whole blood, it is essential to capture as large a volume as is permissible for enrichment. The microfluidic cell capture slides can accommodate 10 mL of blood in line with standard blood capture tubes such as Streck and EDTA, which typically hold ~7.5–10 mL blood. A reduction in blood volume collected will directly impact on CTC capture sensitivity and subsequent genomic variant detection. Obtaining volumes beyond this routine from patients undergoing treatment can be challenging both clinically and ethically. Beyond increasing volume more than 10ml or utilizing diagnostic leukapheresis samples to increase WBC/CTC populations12, increasing sensitivity with larger volumes is beyond the scope of the Genesis platform currently.
The protocol was run as outlined in the standard SOP but with care taken to ensure fresh blood collection, comprehensive mixing of EDTA with blood on collection and careful storage of collected blood prior to use, illustrating the potential for this protocol to be utilized in a clinical setting where routine standard operating procedures are valued. However, because this protocol was demonstrated using contrived samples, validation with clinical patient specimens is required before routine clinical implementation.
The sensitivity of detection of mutations within a CTC population is dependent on both the presence of CTCs within a standard whole blood sample and subsequent detection of somatic mutations within that CTC population, which is dependent upon the frequency of the mutation in the CTC subpopulation. These two confounding factors will ultimately limit overall sensitivity of detection of mutations in a captured CTC population; having a greater impact in early detection samples, compared to late-stage samples that are likely to have higher CTC counts and higher mutation bearing CTC populations.
Current blood based liquid biopsy studies are heavily biased towards circulating tumor DNA present in plasma as an indication of tumor presence. Typically, detection of ctDNA is based on the presence of tumor specific genomic markers e.g. SNVs, structural variants, MSI-H, TMB and CGP. CTCs as a lesser utilized and yet equally viable biomarker in liquid biopsy are known to shed into the blood stream from growing and potentially metastasizing tumors8. Analysis of CTCs is primarily focused on cell surface markers used for their capture or for post capture validation utilizing established or custom antibody panels e.g. pan-Cytokeratin, Vimentin, PD-L1, EpCAM etc. In contrast, molecular analysis of CTCs is limited in adoption due to the challenges of selectively enriching and capturing CTCs from whole blood followed by precise analysis of the CTC subpopulation. The current method utilizes a standardized workflow incorporating established protocols for CTC capture followed by molecular analysis using ddPCR with off-the-shelf assays for known pathologically relevant genomic mutations in contrived whole blood samples. This approach is significant because it enables mutation profiling directly from enriched CTCs, complementing plasma ctDNA-based liquid biopsy approaches.
Utilizing the current approach, captured rare CTCs can be investigated for both their presence in whole blood and the presence of pathologically relevant genomic markers within the CTC population. Studies have shown the value of assessing both the ctDNA profile of patients with cancer and the CTC reservoir circulating in parallel to ctDNA13, with the assessment of both sources of mutations expanding the overall molecular landscape of individual patients. This has the potential for the development of pathology testing paradigms within the scope of translational research initially, but ultimately in a clinical setting. The new paradigm would incorporate both CTC presence as an indication of cancer presence/progression and pathological mutations present within the CTC captured cells potentially indicating clonal expansion or therapeutic resistance14. The implication for this is that the development of metastasis and clonal expansion, followed by subsequent drug resistance could be monitored at both the ctDNA level and the CTC level in concert, directly impacting on therapy selection in later stage cancer.
Future applications may include adapting this workflow to additional cancer-associated mutations and testing its performance in longitudinal clinical samples.