Detection of tumor cells in blood using CD45 magnetic cell separation followed by nested mutant allele-specific amplification of p53 and K-ras genes in patients with colorectal cancer
H. Iinuma et al., Detection of tumor cells in blood using CD45 magnetic cell separation followed by nested mutant allele-specific amplification of p53 and K-ras genes in patients with colorectal cancer, INT J CANC, 89(4), 2000, pp. 337-344
A new method for detecting circulating tumor cells that is based on magneti
c-activated cell separation (MACS) and nested mutant allele-specific amplif
ication (nested MASA) was evaluated in patients with colorectal cancer usin
g the p53 and K-ras genes as genetic markers. By negative selection with an
ti-CD45 monoclonal antibody-conjugated supermagnetic microbeads, the propor
tion of tumor cells was enriched 9-fold. By the combination of MACS and nes
ted MASA, 10 tumor cells in 10(7) normal peripheral blood mononuclear cells
could be detected without false-positives. Using this method, we examined
blood taken from the tumor drainage veins of 23 patients with colorectal ca
ncer. Eighty-seven percent (20/23) of primary tumor tissues showed p53 and/
or K-ras gene mutations. Forty-five percent (9/20) of patients with p53 and
/or K-ras mutations in the primary tumor showed the same mutated genes in t
he blood samples. There was a significant association between the presence
of p53 and K-ras gene mutation in the blood and tumor size, depth of invasi
on, and venous invasion. Blood gene mutation was detected in 80% (4/5) of s
amples from patients with synchronous liver metastases. Sixty percent (3/5)
of patients with mutant genes in the blood developed asynchronous liver me
tastases after surgery. The overall survival of patients with p53 and/or K-
ras gene mutation-positive findings in blood was significantly shorter than
that of patients testing negative on Kaplan-Meier analysis. Our results su
ggest that the method may be useful for reliable detection of tumor cells c
irculating in the blood and may help to identify patients at high risk for
relapse. (C) 2000 Wiley-Liss, Inc.