scholarly journals The combination of mammaglobin A and TWIST-1 increases detection of circulating tumor cells in breast cancer

Author(s):  
Georgina Gallucci ◽  
Estefanía Massa ◽  
Carlos C. Funes ◽  
Roberto Tozzini ◽  
Sergio Ghersevich
2011 ◽  
Vol 57 (3) ◽  
pp. 421-430 ◽  
Author(s):  
Athina Markou ◽  
Areti Strati ◽  
Nikos Malamos ◽  
Vasilis Georgoulias ◽  
Evi S Lianidou

BACKGROUND Molecular characterization of circulating tumor cells (CTCs) is crucial to identify novel diagnostic and therapeutic targets for individualized therapies. We developed a multiplexed PCR-coupled liquid bead array to detect the expression of multiple genes in CTCs. METHODS mRNA isolated from immunomagnetically enriched CTCs was subjected to multiplex PCR for KRT19 (keratin 19; also known as CK19), ERBB2 [v-erb-b2 erythroblastic leukemia viral oncogene homolog 2, neuro/glioblastoma derived oncogene homolog (avian); also known as HER2], SCGB2A2 (secretoglobin, family 2A, member 2; also known as MGB1, mammaglobin A), MAGEA3 (melanoma antigen family A, 3), TWIST-1 [twist homolog 1 (Drosophila)], and HMBS (hydroxymethylbilane synthase; also known as PBGD). Biotinylated amplicons were hybridized against fluorescent microspheres carrying gene-specific capture probes and incubated with streptavidin–phycoerythrin. We quantified the captured labeled amplicons and decoded the beads by Luminex flow cytometry. The assay was validated for limit of detection, specificity, and comparison with reverse-transcription quantitative PCR (RT-qPCR), and its clinical performance was evaluated in 64 patients with operable breast cancer, 20 patients with metastasis, and 17 healthy individuals. RESULTS The assay was specific for each gene in complex multiplexed formats and could detect the expression of each gene at the level of a single SK-BR-3 cell. The assay produced results comparable to those for RT-qPCR for each gene. None of the genes tested was detected in the CTC fraction of healthy donors. We detected KRT19, ERBB2, MAGEA3, SCGB2A2, and TWIST1 in 26.6%, 12.5%, 18.7%, 10.9%, and 31.2% of operable breast cancer patients, respectively, and detected the corresponding genes in 65%, 20%, 30%, 20%, and 20% of patients with verified metastasis, respectively. CONCLUSIONS The expression of 6 genes in CTCs can be measured simultaneously and reliably, thereby saving precious sample and reducing the costs and time of analysis.


2014 ◽  
Vol 74 (S 01) ◽  
Author(s):  
M Wallwiener ◽  
AD Hartkopf ◽  
S Riethdorf ◽  
J Nees ◽  
FA Taran ◽  
...  

2015 ◽  
Vol 75 (08) ◽  
Author(s):  
H Schneck ◽  
B Gierke ◽  
M Pawlak ◽  
M Templin ◽  
T Fehm ◽  
...  

2001 ◽  
Vol 6 (2) ◽  
pp. 79-91 ◽  
Author(s):  
RAYMOND L. HOUGHTON ◽  
DAVIN C. DILLON ◽  
DAVID A. MOLESH ◽  
BARBARA K. ZEHENTNER ◽  
JIANGCHUN XU ◽  
...  

Cancers ◽  
2021 ◽  
Vol 13 (5) ◽  
pp. 1119
Author(s):  
Ivonne Nel ◽  
Erik W. Morawetz ◽  
Dimitrij Tschodu ◽  
Josef A. Käs ◽  
Bahriye Aktas

Circulating tumor cells (CTCs) are a potential predictive surrogate marker for disease monitoring. Due to the sparse knowledge about their phenotype and its changes during cancer progression and treatment response, CTC isolation remains challenging. Here we focused on the mechanical characterization of circulating non-hematopoietic cells from breast cancer patients to evaluate its utility for CTC detection. For proof of premise, we used healthy peripheral blood mononuclear cells (PBMCs), human MDA-MB 231 breast cancer cells and human HL-60 leukemia cells to create a CTC model system. For translational experiments CD45 negative cells—possible CTCs—were isolated from blood samples of patients with mamma carcinoma. Cells were mechanically characterized in the optical stretcher (OS). Active and passive cell mechanical data were related with physiological descriptors by a random forest (RF) classifier to identify cell type specific properties. Cancer cells were well distinguishable from PBMC in cell line tests. Analysis of clinical samples revealed that in PBMC the elliptic deformation was significantly increased compared to non-hematopoietic cells. Interestingly, non-hematopoietic cells showed significantly higher shape restoration. Based on Kelvin–Voigt modeling, the RF algorithm revealed that elliptic deformation and shape restoration were crucial parameters and that the OS discriminated non-hematopoietic cells from PBMC with an accuracy of 0.69, a sensitivity of 0.74, and specificity of 0.63. The CD45 negative cell population in the blood of breast cancer patients is mechanically distinguishable from healthy PBMC. Together with cell morphology, the mechanical fingerprint might be an appropriate tool for marker-free CTC detection.


PLoS ONE ◽  
2013 ◽  
Vol 8 (9) ◽  
pp. e74079 ◽  
Author(s):  
Adriana Lasa ◽  
Arnal Garcia ◽  
Carmen Alonso ◽  
Pilar Millet ◽  
Mónica Cornet ◽  
...  

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