Correlation of circulating tumor cells (CTCs) and clinical biomarker endpoints in metastatic prostate cancer patients.

2012 ◽  
Vol 30 (15_suppl) ◽  
pp. e15124-e15124
Author(s):  
Robert J. Amato ◽  
Vladislava O. Melnikova ◽  
Yujian Zhang ◽  
Wen Liu ◽  
Yuan Wang ◽  
...  

e15124 Background: Circulating tumor cells (CTCs) are found in human blood when cancers undergo metastatic dissemination, and CTCs have been reported as a surrogate marker for tumor response and linked to shorter survival in metastatic prostate cancer patients. This study assessed the use of CTCs as a continuous factor for clinical monitoring of prostate cancers patient in real time and evaluated the association between baseline CTC number, various clinical characteristics, and survival. Methods: CTCs were enumerated using the CellSearch FDA cleared CTC kit in 206 patients with metastatic prostate cancer. Variables including metastatic site, PSA, Gleason score, level of testosterone and androgen treatment were tested for association with CTC number. The probability of patient survival over time was estimated by the Kaplan-Meier method. Results: Baseline CTC numbers were strongly associated with survival (p<0.0001), with overall survival being significantly poorer in patients with ≥5 CTCs. Significantly higher CTC numbers were observed in patients with bone metastasis (mean=41.1 CTCs) compared to those with lymph node metastasis (mean=2.5 CTC, p=0.026). Analysis of the association between CTC counts and PSA level revealed a weak positive correlation between CTC number and PSA (Correlation coefficient r=0.269, Significance level p<0.001). CTC number further correlated with the Gleason score (p=0.009) and lower testosterone levels (p<0.0001). Patients with no androgen depletion had significantly lower numbers of CTCs (median=3.94) compared to those with androgen depletion (median=406, p<0.001). Conclusions: Baseline CTCs are predictive of patient survival and are significantly correlated with clinical characteristics in prostate cancer patients.Our study confirms previous findings that support the use of CTC levels as a prognostic biomarker for prostate cancer patients.

2019 ◽  
Vol 7 (4) ◽  
pp. 131-138 ◽  
Author(s):  
Kotaro Obayashi ◽  
Jun Akatsuka ◽  
Yuki Endo ◽  
Hayato Takeda ◽  
Tatsuro Hayashi ◽  
...  

2019 ◽  
Vol 91 (15) ◽  
pp. 9348-9355 ◽  
Author(s):  
Brenda J. Green ◽  
Vivian Nguyen ◽  
Eshetu Atenafu ◽  
Phillip Weeber ◽  
Bill T. V. Duong ◽  
...  

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.


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