Antibody-independent ApoStream technology isolates folate receptor alpha (FRA)–positive circulating tumor cells from blood of non-small cell lung adenocarcinoma patients.

2012 ◽  
Vol 30 (15_suppl) ◽  
pp. e21028-e21028
Author(s):  
Darren W. Davis ◽  
Christopher Neal ◽  
Vishal Gupta ◽  
Vladislava O. Melnikova ◽  
Jacky Woo ◽  
...  

e21028 Background: The ability to enrich and interrogate circulating tumor cells (CTCs) from blood may allow for the analysis of metastatic dissemination and potential use of CTCs as surrogates for monitoring drug efficacy. We developed ApoStream, a dieletrophoresis field-flow fractionation based platform, for antibody-independent CTC isolation. We demonstrated that ApoStream successfully isolates non-small cell lung adenocarcinoma (NSCLC) CTCs that express Folate Receptor alpha (FRA), a GPI-anchored receptor, which has emerged as a cancer biomarker and potential therapeutic target in multiple cancer types. Methods: ApoStream technology was used to enrich CTCs from NSCLC patients’ blood. CTC enrichment by ApoStream was compared to that of the FDA cleared CellSearch CTC kit. A multiplexed immunofluorescent assay was developed to enable CTC enumeration (Cytokeratin+/CD45-/DAPI+ cells) and analysis of FRA expression (detection by murine antibody clone 26B3) using single cell quantitative laser scanning cytometry (LSC). Results: In a side-by-side comparison with the CellSearch CTC kit, ApoStream isolated significantly higher numbers of CTCs in 9 metastatic adenocarcinoma NSCLC patients (Apostream: mean =139, range 3-487 per 7.5 mL of blood, versus CellSearch kit: mean =2, range 0-8 per 7.5 mL of blood, n= 9, p=0.041). All patients were found to be CTC-positive by ApoStream, while only 3 of 9 (33%) patients were CTC-positive based on the CellSearch kit. LSC analysis demonstrated that 8-33% of all CTCs isolated expressed FRA and that FRA expression was confined to CTCs only. No false positive CTCs and no FRA-expressing cells were isolated by ApoStream from normal donor blood (n=15). Conclusions: All NSCLC adenocarcinoma patients analyzed had FRA-positive CTCs, suggesting that FRA may play a key role in metastasis and that screening of patients with the ApoStream CTC isolation system may identify patients who could benefit from FRA-targeted therapy.

2016 ◽  
Vol 34 (15_suppl) ◽  
pp. e23086-e23086
Author(s):  
Man Chun Leong ◽  
Tse Hui Lim ◽  
Yong Wei Chua ◽  
Chye Ling Tan ◽  
Daniel Shao-Weng Tan ◽  
...  

2018 ◽  
Vol 2018 ◽  
pp. 1-12 ◽  
Author(s):  
Annalisa Milano ◽  
Francesca Mazzetta ◽  
Sabatino Valente ◽  
Danilo Ranieri ◽  
Laura Leone ◽  
...  

Background. Non-small cell lung cancer (NSCLC) is the most common cause of cancer-related mortality; nevertheless, there are few data regarding detection of circulating tumor cells (CTCs) in NSCLC, compared to other kinds of cancers in which their prognostic roles have already been defined. This difference is likely due to detection methods based on the epithelial marker expression which ignore CTCs undergoing epithelial-mesenchymal transition (CTCsEMT). Methods. After optimization of the test with spiking experiments of A549 cells undergoing TGF-β1-induced EMT (A549EMT), the CTCsEMT were enriched by immunomagnetic depletion of leukocytes and then characterized by a RT-PCR assay based on the retrieval of epithelial and EMT-related genes. Blood samples from ten metastatic NSCLC patients before starting treatment and during chemotherapy were used to test this approach by longitudinal monitoring. Ten age- and sex-matched healthy subjects were also enrolled as controls. Results. Recovery experiments of spiked A549EMT cells showed that the RT-PCR assay is a reliable method for detection of CTCsEMT. CTCsEMT were detected in three patients at baseline and in six patients after four cycles of cysplatin-based chemotherapy. Longitudinal monitoring of three patients showed that the CTCsEMT detection is related to poor therapeutic response. Conclusions. The RT-PCR-based approach for the evaluation of CTCsEMT phenotype could be a promising and inexpensive tool to predict the prognosis and the therapeutic response in NSCLC patients.


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