| Literature DB >> 19526059 |
Yaakov Bentov1, Theodore J Brown, Mohammad R Akbari, Robert Royer, Harvey Risch, Barry Rosen, John McLaughlin, Ping Sun, Shiyu Zhang, Steven A Narod, Robert F Casper.
Abstract
INTRODUCTION: The etiology of ovarian cancer is largely unknown. One hypothesis is that the inefficient removal of the blood clots and fibrin products which are deposited in the vicinity of the ovary by retrograde menstruation might be associated with an increased risk of ovarian cancer. Several single nucleotide polymorphisms within genes which comprise the fibrinolytic system have been shown to have functional effects on the rate of blood clot degradation. These were considered to be candidate genes in the present study. AIM: We studied the genotype distributions of 12 functional SNPs of four genes (tPA, uPA PAI1 and TAFI) among 775 ovarian cancer cases and 889 controls.Entities:
Mesh:
Year: 2009 PMID: 19526059 PMCID: PMC2691597 DOI: 10.1371/journal.pone.0005918
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Subject characteristics of the ESCC cases and controls.
| Variable | Cases | Controls | P-Value | |
| Total Number, n | 775 | 889 | – | |
| Age, Mean (range) | 57.8 (26–79) | 56.3 (28–94) | 0.003 | |
| Ethnicity, n (%) | Caucasian | 654 (84.4) | 814 (91.5) | 0.0002 |
| French-Canadian | 77 (9.9) | 65 (7.3) | ||
| East Asian | 33 (4.3) | 5 (0.6) | ||
| Indian | 11 (1.4) | 5 (0.6) | ||
| Histology, n (%) | Serous | 407(52.5) | – | – |
| Endometrioid | 176 (22.7) | – | ||
| Mucinouse | 73 (9.4) | – | ||
| Clear Cell | 49 (6.3) | – | ||
| Other | 70(9.1) | – | ||
Genotypes of the 11 functional variants of 4 genes on the 775 cases and 889 controls.
| Variant | Gene | MAF | Cases, n (%) | Controls, n (%) | OR | P-Value |
|
|
| 0.34 | ||||
| C/C | 532 (70.8) | 647 (73.4) | 1.00 | 1.00 | ||
| C/T | 206 (27.4) | 219 (24.8) | 0.95 | 0.60 | ||
| T/T | 13 (1.8) | 16 (1.8) | 1.07 | 0.37 | ||
|
|
| 0.25 | ||||
| Pro/Pro | 427(55.3) | 496 (55.8) | 1.00 | 1.00 | ||
| Pro/Leu | 300 (38.9) | 340 (38.2) | 1.00 | 0.97 | ||
| Leu/Leu | 45 (5.8) | 53 (6.0) | 1.00 | 0.97 | ||
|
|
| 0.46 | ||||
| 4G4G | 226 (29.3) | 257 (28.9) | 1.00 | 1.00 | ||
| 4G5G | 372 (48.2) | 440 (49.5) | 0.96 | 0.71 | ||
| 5G5G | 174 (22.5) | 192 (21.6) | 1.02 | 0.82 | ||
|
|
| 0.41 | ||||
| A/A | 260 (33.9) | 315 (35.5) | 1.00 | 1.00 | ||
| A/G | 362 (47.3) | 425 (47.9) | 1.03 | 0.79 | ||
| G/G | 144 (18.8) | 148 (16.6) | 1.08 | 0.27 | ||
|
|
| 0.21 | ||||
| A/A | 452 (59.7) | 558 (63.0) | 1.00 | 1.00 | ||
| A/G | 268 (35.4) | 295 (33.3) | 1.12 | 0.30 | ||
| G/G | 37 (4.9) | 33 (3.7) | 1.17 | 0.20 | ||
|
|
| 0.01 | ||||
| C/C | 749 (97.0) | 866 (97.4) | 1.00 | 1.00 | ||
| C/T | 23 (3.0) | 22 (2.5) | 1.17 | 0.62 | ||
| T/T | 0 (0.0) | 1 (0.1) | – | – | ||
|
|
| 0.30 | ||||
| Thr/Thr | 374 (48.6) | 450 (50.6) | 1.00 | 1.00 | ||
| Thr/Ile | 327 (42.5) | 354 (39.8) | 1.12 | 0.29 | ||
| Ile/Ile | 69 (8.9) | 85 (9.6) | 0.97 | 0.73 | ||
|
|
| 0.34 | ||||
| C/C | 314 (43.0) | 388 (43.8) | 1.00 | 1.00 | ||
| C/− | 320 (43.8) | 396 (44.7) | 1.06 | 0.57 | ||
| −/− | 96 (13.2) | 101 (11.5) | 1.10 | 0.24 | ||
|
|
| 0.26 | ||||
| G/G | 398 (55.0) | 482 (54.6) | 1.00 | 1.00 | ||
| G/A | 277 (38.3) | 335 (37.9) | 0.99 | 0.90 | ||
| A/A | 49 (6.7) | 66 (7.5) | 0.93 | 0.44 | ||
|
|
| 0.32 | ||||
| Ala/Ala | 346(46.3) | 392 (44.3) | 1.00 | 1.00 | ||
| Ala/Thr | 324 (43.4) | 405 (45.8) | 0.96 | 0.68 | ||
| Thr/Thr | 77 (10.3) | 88 (9.9) | 1.00 | 0.96 |
Minor Allele Frequency.
P-value and odds ratio (OR) are adjusted for age and ethnicity using multivariate logistic regression analysis.