scholarly journals Detection of Circulating Tumor Cells and Circulating Tumor Stem Cells in Breast Cancer by Using Flow Cytometry

10.5772/63423 ◽  
2016 ◽  
Author(s):  
Yanjie Hu ◽  
Jin'e Zheng ◽  
Shiang Huang
Tumor Biology ◽  
2012 ◽  
Vol 33 (2) ◽  
pp. 561-569 ◽  
Author(s):  
Ningfang Wang ◽  
Lan Shi ◽  
Huiyu Li ◽  
Yanjie Hu ◽  
Wen Du ◽  
...  

2016 ◽  
Vol 10 ◽  
pp. BCBCR.S40856 ◽  
Author(s):  
M. Sayed ◽  
A.M. Zahran ◽  
M.S.F. Hassan ◽  
D.O. Mohamed

Purpose Despite the therapeutic advances, disease recurrence remains an ever-present threat to the health and well-being of breast cancer survivors. Assessment of circulating tumor cells (CTCs) and cancer stem cells (CSCs) during and after treatment may be of value in refining treatment. Methods Three 5 mL blood samples were taken from each patient: the first, at diagnosis; the second, after completion of neoadjuvant anthracyclin-based chemotherapy; and the third, a month after surgery and completion of adjuvant radiotherapy. The absolute numbers of CTCs were identified as CD45-cytokeratin+ cells. CTCs per 5 mL of blood were determined by recording all events in the whole suspension. CSCs were identified as cytokeratin+CD44+CD24-/CD45- cells. The CSCs were expressed as a percentage of CTCs. Results Univariate analysis identified the measurements of baseline CTCs and CSCs, taken after chemotherapy and one month after the cessation of radiotherapy, as prognostic factors for both four-year disease-free survival and four-year overall survival. Multivariable analysis identified the third measurement of CSCs, taken one month after the completion of radiotherapy, as the only independent prognostic factor for the four-year disease-free survival (P < 0.002, hazard ratio [HR] = 1.231, 95% CI 1.077–1.407). The initial CTC measurement was the one factor that reached significance on multivariate analysis (P < 0.03, HR 1.969, 95% CI 1.092–3.551) for the four-year overall survival. Correlation was higher between CTC and CSC counts at diagnosis ( r = 0.654, P < 0.001) than after chemotherapy ( r = 0.317, P < 0.03), because of the more rapid decrease in the mean CTC count with chemotherapy. Conclusion The CTC count could be suitable as one of the measures for monitoring response to chemotherapy, while persistence of CSC after cessation of the treatment of nonmetastatic breast cancer, except hormonal therapy when indicated, may be a reason to consider additional therapy in the future. These findings need confirmation in larger randomized trials.


2020 ◽  
Vol 24 ◽  
pp. 102106 ◽  
Author(s):  
Petra Gener ◽  
Sara Montero ◽  
Helena Xandri-Monje ◽  
Zamira V. Díaz-Riascos ◽  
Diana Rafael ◽  
...  

Tumor Biology ◽  
2017 ◽  
Vol 39 (3) ◽  
pp. 101042831769591 ◽  
Author(s):  
Sheefa Mirza ◽  
Nayan Jain ◽  
Rakesh Rawal

Lung cancer stem cells are supposed to be the main drivers of tumor initiation, maintenance, drug resistance, and relapse of the disease. Hence, identification of the cellular and molecular aspects of these cells is a prerequisite for targeted therapy of lung cancer. Currently, analysis of circulating tumor cells has the potential to become the main diagnostic technique to monitor disease progression or therapeutic response as it is non-invasive. However, accurate detection of circulating tumor cells has remained a challenge, as epithelial cell markers used so far are not always trustworthy for detecting circulating tumor cells, especially during epithelial–mesenchymal transition. As cancer stem cells are the only culprit to initiate metastatic tumors, our aim was to isolate and characterize circulating tumor stem cells rather than circulating tumor cells from the peripheral blood of NSCLC adenocarcinoma as limited data are available addressing the gene expression profiling of lung cancer stem cells. Here, we reveal that CD44(+)/CD24(−) population in circulation not only exhibit stem cell–related genes but also possess epithelial–mesenchymal transition characteristics. In conclusion, the use of one or more cancer stem cell markers along with epithelial, mesenchymal and epithelial mesenchymal transition markers will prospectively provide the most precise assessment of the threat for recurrence and metastatic disease and has a great potential for forthcoming applications in harvesting circulating tumor stem cells and their downstream applications. Our results will aid in developing diagnostic and prognostic modalities and personalized treatment regimens like dendritic cell–based immunotherapy that can be utilized for targeting and eliminating circulating tumor stem cells, to significantly reduce the possibility of relapse and improve clinical outcomes.


2021 ◽  
Vol 22 (5) ◽  
pp. 2504
Author(s):  
Liubov A. Tashireva ◽  
Olga E. Savelieva ◽  
Evgeniya S. Grigoryeva ◽  
Yuri V. Nikitin ◽  
Evgeny V. Denisov ◽  
...  

To date, there is indisputable evidence of significant CTC heterogeneity in carcinomas, in particular breast cancer. The heterogeneity of CTCs is manifested in the key characteristics of tumor cells related to metastatic progression – stemness and epithelial–mesenchymal (EMT) plasticity. It is still not clear what markers can characterize the phenomenon of EMT plasticity in the range from epithelial to mesenchymal phenotypes. In this article we examine the manifestations of EMT plasticity in the CTCs in breast cancer. The prospective study included 39 patients with invasive carcinoma of no special type. CTC phenotypes were determined by flow cytometry before any type of treatment. EMT features of CTC were assessed using antibodies against CD45, CD326 (EpCam), CD325 (N-cadherin), CK7, Snail, and Vimentin. Circulating tumor cells in breast cancer are characterized by pronounced heterogeneity of EMT manifestations. The results of the study indicate that the majority of heterogeneous CTC phenotypes (22 out of 24 detectable) exhibit epithelial–mesenchymal plasticity. The variability of EMT manifestations does not prevent intravasation. Co-expression of EpCAM and CK7, regardless of the variant of co-expression of Snail, N-cadherin, and Vimentin, are associated with a low number of CTCs. Intrapersonal heterogeneity is manifested by the detection of several CTC phenotypes in each patient. Interpersonal heterogeneity is manifested by various combinations of CTC phenotypes in patients (from 1 to 17 phenotypes).


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