Bk. Linderholm et al., The expression of vascular endothelial growth factor correlates with mutant p53 and poor prognosis in human breast cancer, CANCER RES, 61(5), 2001, pp. 2256-2260
Wild-type p53 protein has been shown to inhibit angiogenesis through thromb
ospondin in the preclinical setting, Here, we determined the associations b
etween the expression of the angiogenic factor vascular endothelial growth
factor (VEGF) and the p53 status, including different mutation sites and ty
pes, in primary breast cancer. Cytosols from 224 primary breast cancer pati
ents were analyzed with an enzyme immunoassay for determination of human VE
GF(165) protein content. p53 status was determined hv cDNA-based sequencing
of the entire coding region, by immunohistochemistry (IHC). and by a p53 l
uminometric immunoassay (I,IA) method. Statistically significant associatio
ns was found between higher VEGF content and non-wild-type p53 status for a
ll methods; sequence-based data (P = 0.0019), IHC data (P = 0.0068), and th
e I,IA method (r = 0.427: P > 0.001), Highest VEGF values were detected in
tumors with p53 insertions, deletions, and stop codon mutations (P = 0.0043
). Combining p53 status and VEGF content resulted in additional prognostic
information, relapse-free survival (RFS: P = 0.0377), overall survival (OS;
P = 0.0319), and breast cancer corrected survival (BCCS: P = 0.0292). In m
ultivariate analysis, the relative hazard increased when the VEGF data were
added to the p53 status, with a relative hazard of 1.7 for RFS and 3.0 for
BCCS, compared with 1.1 fur RFS and 1.4 for BCCS among the patients with e
ither high VEGF content or p53 mutation. Higher VEGF content was statistica
lly significantly correlated with a worse outcome fur patients with estroge
n receptor-positive tumors receiving adjuvant tamoxifen: RFS (P = 0.0471),
OS (P = 0.0134), BCCS (P = 0.0064), as well as in multivariate analysis wit
h point estimates of 3.4 and 2.1 fur BCCS and RFS, respectively, VEGF expre
ssion is related to p53 status in human breast cancer patients. Combining V
EGF with p53 status resulted in better prognostic prediction.