| Literature DB >> 22931099 |
Rui-Xue Cui1, Na Liu, Qing-Mei He, Wen-Fei Li, Bi-Jun Huang, Ying Sun, Ling-Long Tang, Mo Chen, Ning Jiang, Lei Chen, Jing-Ping Yun, Jing Zeng, Ying Guo, Hui-Yun Wang, Jun Ma.
Abstract
BACKGROUND: Breast cancer metastasis suppressor 1 (BRMS1) is a metastasis suppressor gene. This study aimed to investigate the impact of BRMS1 on metastasis in nasopharyngeal carcinoma (NPC) and to evaluate the prognostic significance of BRMS1 in NPC patients.Entities:
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Year: 2012 PMID: 22931099 PMCID: PMC3517767 DOI: 10.1186/1471-2407-12-376
Source DB: PubMed Journal: BMC Cancer ISSN: 1471-2407 Impact factor: 4.430
The correlations between BRMS1 expression and the clinicopathological characteristics of nasopharyngeal carcinoma
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| Gender | | | | | | | | | |
| Male | 28 (66.7) | 60 (76.9) | 0.226 | 44 (77.2) | 74 (76.3) | 0.898 | 72 (72.7) | 134 (76.6) | 0.286 |
| Female | 14 (33.3) | 18 (23.1) | | 13 (22.8) | 23 (23.7) | | 27 (27.3) | 41 (23.4) | |
| Age (years) | | | | | | | | | |
| ≤ 46 | 20 (47.6) | 37 (47.4) | 0.985 | 31 (54.4) | 49 (50.5) | 0.643 | 51 (51.5) | 86 (49.1) | 0.401 |
| > 46 | 22 (52.4) | 41 (52.6) | | 26 (45.6) | 48 (49.5) | | 48 (49.5) | 89 (50.9) | |
| WHO type | | | | | | | | | |
| Type III | 40 (95.2) | 74 (94.9) | 1.000 | 56 (98.2) | 94 (96.9) | 1.000 | 96 (97.0) | 168 (96.0) | 0.482 |
| Other type | 2 (4.8) | 4 (5.1) | | 1 (1.8) | 3 (3.1) | | 3 (3.0) | 7 (4.0) | |
| VCA-IgA | | | | | | | | | |
| ≥ 1:320 | 23(54.8) | 41(52.6) | 0.818 | 28(49.1) | 48(49.5) | 0.965 | 51(51.5) | 89(50.9) | 0.917 |
| < 1:320 | 19(45.2) | 37(47.4) | | 29(50.9) | 49(50.5) | | 48(48.5) | 86(49.1) | |
| EA-IgA | | | | | | | | | |
| ≥ 1:20 | 20(47.6) | 43(55.1) | 0.432 | 33(57.9) | 50(51.5) | 0.445 | 53(53.5) | 93(53.1) | 0.950 |
| < 1:20 | 22(52.4) | 35(44.9) | | 24(42.1) | 47(48.5) | | 46(46.7) | 82(46.9) | |
| AER | | | | | | | | | |
| ≥ 63% | 8(19.0) | 23(29.5) | 0.213 | 17(29.8) | 26(26.8) | 0.687 | 25(25.3) | 49(28.0) | 0.623 |
| < 63% | 34(81.0) | 55(70.5) | | 40(70.2) | 71(73.2) | | 74(74.7) | 126(72.0) | |
| UICC 7th T stage | | | | | | | | | |
| T1 | 5 (11.9) | 16 (20.5) | 0.470 | 11 (19.3) | 18 (18.6) | 0.996 | 16 (16.2) | 34 (19.4) | 0.853 |
| T2 | 17 (40.5) | 22 (28.2) | | 18 (31.6) | 32 (33.0) | | 35 (35.4) | 54 (30.9) | |
| T3 | 9 (21.4) | 19 (24.4) | | 16 (28.1) | 26 (26.8) | | 25 (25.3) | 45 (25.5) | |
| T4 | 11 (26.2) | 21 (26.9) | | 12 (21.1) | 21 (21.6) | | 23 (23.2) | 42 (23.7) | |
| UICC 7th N stage | | | | | | | | | |
| N0 | 4 (9.5) | 14 (17.9) | 0.644 | 8 (14.0) | 14 (14.4) | 0.837 | 12 (12.1) | 28 (16.0) | 0.732 |
| N1 | 22 (52.4) | 36 (46.2) | | 24 (42.1) | 47 (48.5) | | 46 (46.5) | 83 (47.4) | |
| N2 | 10 (23.8) | 16 (20.5) | | 15 (26.3) | 20 (20.6) | | 25 (25.3) | 36 (20.6) | |
| N3 | 6 (14.3) | 12 (15.4) | | 10 (17.5) | 16 (16.5) | | 16 (16.2) | 28 (16.0) | |
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| No | 4 (9.5) | 14 (17.9) | 0.307 | 8 (14.0) | 14 (14.4) | 0.806 | 12 (12.1) | 28 (16.0) | 0.382 |
| Yes | 38 (90.5) | 64 (82.1) | | 49 (86.0) | 83 (85.6) | | 87 (87.9) | 147 (84.0) | |
| | | | | | | | | ||
| I | 0 (0.0) | 4 (5.1) | 0.513 | 1 (1.8) | 3 (3.1) | 0.949 | 8 (2.9) | 8 (2.9) | 0.538 |
| II | 13 (31.0) | 22 (28.2) | | 17 (29.8) | 27 (27.8) | | 79 (28.8) | 79 (28.8) | |
| III | 13 (31.0) | 22 (28.2) | | 19 (33.3) | 31 (32.0) | | 85 (31.0) | 85 (31.0) | |
| IV | 16 (38.0) | 30 (38.5) | | 20 (35.1) | 36 (37.1) | | 102 (37.2) | 102 (37.2) | |
| | | | | | | | | ||
| No | 24 (57.1) | 67 (85.9) | 35 (61.4) | 83 (85.6) | 59 (59.6) | 150 (85.7) | |||
| Yes | 18 (42.8) | 11 (14.1) | 22 (38.6) | 14 (14.4) | 40 (40.4) | 25 (14.3) | |||
* p value was calculated using the chi-squared or Fisher's exact tests. #: The presence of distant metastasis on or before the last follow-up (April 30, 2011).
Figure 1BRMS1 expression in NPC cells and tissues. Quantitative RT-PCR (A) and western blotting analysis (B) of BRMS1 mRNA and protein expression in parental NPC cells. Quantitative RT-PCR analysis of BRMS1 mRNA was normalized to glyceraldehyde 3-phosphate dehydrogenase (GAPDH). The quantitative RT-PCR data are represented as the mean ± SD (* p < 0.01; Student’s t-test). Equal protein loading was determined by α-tubulin in western blotting. (C) analysis of BRMS1 protein expression in NPC and noncancerous nasopharyngeal (NNP) tissues using immunohistochemistry ( IHC). The NNP tissue (upper left) showed strong BRMS1 staining. The NPC tissues showed various degrees of BRMS1 staining: weak (upper right), moderate (lower left) and strong (lower right) (magnification, 100×).
Figure 2BRMS1 inhibits NPC cell migration and invasion in vitro and suppresses lung metastasis in vivo. (A) The effect of BRMS1 overexpression on cell migration in the wound healing assay. The right panels show a slower wound healing response in the BRMS1-overexpressing cells than in the vector control cells 24 h after scratching (magnification, 40×). (B) The effect of BRMS1 overexpression on cell invasion in the Transwell migration assay. The left panels are representative photomicrographs (magnification, 100×), while the right panels are the numbers of trans-membrane cells per field (magnification, 100×) counted in five random fields for each of the BRMS1-overexpressing and control groups in triplicate parallel experiments. (* p < 0.01; Student’s t-test). (C) BRMS1 overexpression inhibits metastasis in murine NPC xenografts. Mouse tumor xenografts were created (n = 8 per group). Representative macroscopic photographs of pulmonary metastases; the arrowheads indicate the metastatic nodules on the surface of the lungs (upper left in C). The average numbers of metastases in each group are shown in parallel on the right. Lung sections from each group were stained with hematoxylin and eosin (H&E) to quantify the degree of lung metastasis (lower left in C). Histograms depicting the average number of microscopic metastases in each group are shown on the right. (* p < 0.01; Student’s t-test).
Figure 3Survival analysis of BRMS1 expression in the training set, testing set and overall patient population. (A) Low BRMS1 expression was correlated with poor distant metastasis-free survival (upper in A) and overall survival (lower in A) in the training cohort. These results were validated in the testing cohort (B) and overall patient population (C). HR: hazard ratio; CI: confidence interval. The HR values were calculated using a univariate Cox regression analysis, and the p values were calculated using the log-rank test.
A multivariable Cox regression analysisof BRMS1 expression and survival in nasopharyngeal carcinoma
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| sex (men vs. women) | 0.51 | 0.20-1.27 | 0.15 | 0.29 | 0.11-0.79 | 0.11 |
| age (> 46 vs. ≤ 46) | 1.16 | 0.55-2.46 | 0.54 | 1.11 | 0.53-2.35 | 0.72 |
| WHO type (type I vs. type II) | 0.89 | 0.20-3.99 | 0.80 | 1.31 | 0.26-5.02 | 0.81 |
| TNM stage (III, IV vs. I, II) | 3.91 | 1.35-11.29 | 2.59 | 0.99-6.83 | ||
| BRMS1 (low vs. high) | 4.54 | 2.11-9.76 | 6.56 | 2.97-14.41 | ||
| VCA-IgA (≥ 1:320 vs. < 1:320) | 0.73 | 0.26-2.03 | 0.93 | 0.41 | 0.15-1.13 | 0.21 |
| EA-IgA (≥ 1:20 vs. < 1:20) | 1.44 | 0.52-4.01 | 0.76 | 1.80 | 0.66-4.92 | 0.88 |
| AER (≥ 63% vs. < 63%) | 0.73 | 0.36-1.47 | 0.35 | 1.51 | 0.74- 2.51 | 0.07 |
| | | | | | | |
| sex (men vs. women) | 0.56 | 0.22-1.38 | 0.28 | 0.76 | 0.36-1.80 | 0.62 |
| age (> 46 vs. ≤ 46) | 1.25 | 0.65-2.43 | 0.47 | 1.54 | 0.77-3.10 | 0.14 |
| WHO type (type I vs. type II) | 1.05 | 0.13-8.39 | 0.60 | 0.67 | 0.08-5.60 | 0.42 |
| TNM stage (III, IV vs. I, II) | 3.19 | 1.24-8.21 | 3.91 | 1.38-11.11 | ||
| BRMS1 (low vs. high) | 3.31 | 1.69-6.47 | 4.39 | 2.14-9.01 | ||
| VCA-IgA (≥ 1:320 vs. < 1:320) | 0.47 | 0.19-1.15 | 0.97 | 0.44 | 0.18-1.10 | 0.71 |
| EA-IgA (≥ 1:20 vs. < 1:20) | 2.78 | 1.12-6.94 | 0.19 | 2.33 | 0.91-5.98 | 0.31 |
| AER (≥ 63% vs. < 63%) | 0.57 | 0.26-1.29 | 0.32 | 1.03 | 0.49-2.19 | 0.71 |
| | | | | | | |
| sex (men vs. women) | 0.63 | 0.34-1.18 | 0.18 | 0.57 | 0.30-1.07 | 0.15 |
| age (> 46 vs. ≤ 46) | 1.18 | 0.72-1.92 | 0.38 | 1.32 | 0.80-2.18 | 0.25 |
| WHO type (type I vs. type II) | 0.90 | 0.28-2.91 | 0.74 | 0.89 | 0.27-2.88 | 0.57 |
| TNM stage (III, IV vs. I, II) | 3.39 | 1.68-6.86 | 3.24 | 1.60-6.57 | ||
| BRMS1 (low vs. high) | 3.59 | 2.17-5.92 | 4.77 | 2.82-8.06 | ||
| VCA-IgA (≥ 1:320 vs. < 1:320) | 0.62 | 0.31-1.21 | 0.84 | 0.53 | 0.27-1.04 | 0.29 |
| EA-IgA (≥ 1:20 vs. < 1:20) | 1.91 | 0.95-3.85 | 0.16 | 1.64 | 0.82-3.29 | 0.72 |
| AER (≥ 63% vs. < 63%) | 1.20 | 0.70-2.07 | 0.36 | 1.69 | 1.00-2.86 | |
# The variables were selected using the backward Wald stepwise selection method. * The p values were calculated using an adjusted Cox regression model. The following parameters were included as covariates in each of these models: sex (men vs. women), age (> 46 vs. ≤ 46), WHO type (type I vs. type II), TNM stage (III and IV vs. I and II), BRMS1 expression (low vs. high) VCA-IgA (≥ 1:320 vs. < 1:320), EA-IgA (≥ 1:20 vs. < 1:20) and AER (≥ 63% vs. < 63%). VCA-IgA: viral capsid antigenimmunoglobulin A; EA-IgA: early antigenimmunoglobulin A; AER: antienzyme rate (AER) of Epstein-Barr virus (EBV) DNase-specific neutralizing antibody; HR: hazard ratio; CI: confidence interval.