scholarly journals Detection of tumor cells in peripheral blood samples from patients with germ cell tumors using immunocytochemical and reverse transcriptase-polymerase chain reaction techniques

1998 ◽  
Vol 22 (8) ◽  
pp. 771-775 ◽  
Author(s):  
MO Hildebrandt ◽  
F Bläser ◽  
J Beyer ◽  
W Siegert ◽  
MY Mapara ◽  
...  
2008 ◽  
Vol 26 (35) ◽  
pp. 5742-5747 ◽  
Author(s):  
Christiane A. Voit ◽  
Gregor Schäfer-Hesterberg ◽  
Martina Kron ◽  
Alexander C.J. van Akkooi ◽  
Juergen Rademaker ◽  
...  

Purpose This study analyzes (1) the value of tyrosinase reverse-transcriptase polymerase chain reaction (RT-PCR) of aspirates obtained by ultrasound-guided fine-needle aspiration cytology (US-FNAC) of sentinel nodes (SNs) in patients with melanoma before sentinel lymph node biopsy (SLNB) and (2) the value of RT-PCR of blood samples of all SLNB patients. Patients and Methods Between 2001 and 2003, 127 patients with melanoma (median Breslow depth, 2.1 mm) underwent SLNB. FNAC was performed in all SNs of all patients pre- and post-SLNB. The aspirates were partly shock-frozen for RT-PCR and were partly used for standard cytology. Peripheral blood was collected at the time of SLNB and at every outpatient visit thereafter. Results Thirty-four (23%) of 120 SNs were positive for melanoma. SN involvement was predicted by US-FNAC with a sensitivity of 82% and a specificity of 72%. Additional tyrosinase RT-PCR revealed the same sensitivity of 82% and a specificity of 72%. At a median follow-up time of 40 months from first blood sample, peripheral-blood RT-PCR was a significant independent predictor of disease-free survival (DFS) and overall survival (OS; P < .001). Conclusion US-FNAC is highly accurate and eliminates the need for SLNB in 16% of all SLNB patients. RT-PCR of the aspirate or excised SN does not improve sensitivity or specificity. RT-PCR of blood samples predicts DFS and OS.


2010 ◽  
Vol 32 (5) ◽  
pp. 391-394
Author(s):  
Adriene Siqueira de Melo ◽  
Virginia Maria Barros de Lorena ◽  
Suellen Carvalho de Moura Braz ◽  
Yara de Miranda Gomes

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