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Institute of Pathology, Heinrich-Heine-University, Moorenstr 5, 40225 Duesseldorf, Germany
1 Department of Urology, Heinrich-Heine-University, Duesseldorf, Germany
2 Department of Computational Statistics, Heinrich-Heine-University, Duesseldorf, Germany
(Requests for offprints should be addressed to R Engers; Email: engers{at}med.uni-duesseldorf.de)
| Abstract |
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| Introduction |
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Rac proteins are members of the Rho family of small GTPases involved in the regulation of actin dynamics. So far, three highly homologous Rac proteins have been described in mammals: the ubiquitous Rac1, the hematopoiesis-specific Rac2, and the least-characterized Rac3 (for review see: Wennerberg & Der 2004). Rac1 is a major regulator of the actin cytoskeleton (Ridley et al. 1992), which affects cell cycle progression (Olson et al. 1995), cell adhesion (Hordijk et al. 1997, Kuroda et al. 1998), migration (Keely et al. 1997, Sander et al. 1998, Engers et al. 2001), invasion (Hordijk et al. 1997, Keely et al. 1997, Engers et al. 2001, 2006b), and metastasis (Shan et al. 2005) of tumor cells. Moreover, Rac1 has been implicated in oncogenic transformation of cells. Thus, Rac1 is essential for Ras- and Src-induced transformation of NIH3T3 cells (Qiu et al. 1995, Servitja et al. 2003) and in line with this, mice deficient in the Rac-specific activator, Tiam1, are resistant to the development of Ras-induced skin tumors (Malliri et al. 2002). In addition, Rac1 is also required for BCR/ABL-mediated leukemogenesis (Skorski et al. 1998). In contrast to Rac1, Rac2 is specifically expressed in cells of hematopoietic origin (Didsbury et al. 1989, Wennerberg & Der 2004) and mice genetically deficient in Rac2 are characterized by defects in cellular functions of diverse hematopoietic cells (Croker et al. 2002a,b, Gu et al. 2002, 2003, Carstanjen et al. 2005). Rac3 is most highly expressed in brain, but has also been found in other organs including placenta, kidney, pancreas, and heart (Haataja et al. 1997). However, Rac3 expression in human prostate and prostate carcinomas has not been reported yet. Unlike Rac1 knockout animals, which do not survive embryogenesis (Sugihara et al. 1998), Rac3 knockout animals do survive and show no obvious developmental defects (Corbetta et al. 2005). Nevertheless, Rac3 is hyperactive in breast cancers (Mira et al. 2000) and recently, like Rac1, it has been implicated in the regulation of migration and invasion of ganglioblastoma and breast carcinoma cells (Chan et al. 2005). Moreover, activation of Rac3 has recently been shown to cause transformation of NIH3T3 cells (Joyce & Cox 2003).
Despite these functions of Rac proteins, the potential prognostic relevance of Rac expression in human tumors has not been investigated yet. In the present study, we have analyzed Rac protein expression in benign secretory epithelium, high-grade prostatic intraepithelium neoplasia (HG-PIN), and prostate carcinomas by semiquantitative immunohistochemistry. We found that Rac protein expression is significantly higher in prostate carcinomas and HG-PIN lesions than in the corresponding benign secretory epithelium and we provide evidence that this results mainly from increased expression of the Rac3 isoform. Moreover, in multivariate analysis, Rac overexpression in prostate cancer relative to the corresponding benign secretory epithelium proved to be an independent predictor of decreased disease-free survival (DFS) for patients with prostate cancer.
| Materials and methods |
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In the present study, we investigated Rac protein expression by semiquantitative immunohistochemistry in 60 patients with R0-resected prostate cancer, who underwent radical prostatectomy at the University Hospital of Duesseldorf. Median patient age was 67 years (range, 5579 years). Patients were excluded from the study if they had received neoadjuvant hormonal therapy, if surgical margins were positive, and/or if postoperative PSA values remained above 0.3 ng/ml. Disease recurrence was considered in the following circumstances: a) PSA measurement above 0.3 ng/ml; b) radiological or histological evidence of local recurrence or metastasis. Mean preoperative PSA level was 14.4 ± 12 ng/ml (range, 1.260.5 ng/ml). For one patient the preoperative PSA level was unknown. Appropriate follow-up data were available for 53 patients. Of these, 1 patient died from prostate cancer, 7 from other diseases, and 36 were censored. Median follow-up time of survivors was 7.2 years (range, 214.4 years). The study and its execution were approved by the ethics committee of the Heinrich-Heine-University of Duesseldorf.
Testing of the monoclonal Rac antibody
To verify whether or not the Rac-specific monoclonal antibody we aimed to use for immunohistochemistry (BD Biosciences, Heidelberg, Germany; Clone 102) recognizes all Rac isoforms, which may be expressed by epithelial cells (i.e. Rac1 and Rac3), Cos7 cells were transiently transfected with empty vector (pMT2SM), wild type Rac1, or wild type Rac3 (each kindly provided by Dr J G Collard, Amsterdam, The Netherlands) by the DEAE-Dextran method. The cells were washed twice in PBS (Sigma) and subsequently incubated in a solution containing 2 µg of the respective plasmid and 500 µg DEAE-Dextran (Sigma) for 20 min at 37 °C. Then, chloroquine (80 µM; Sigma) was added and cells were incubated for 2.5 h at 37 °C. Supernatants were subsequently removed and cells were incubated for 2.5 min in 10% DMSO at room temperature. Afterwards, supernatants were replaced by normal growth medium (Dulbeccos modified Eagle medium) supplemented with 10% fetal calf serum and antibiotics (all Sigma) and cells were incubated at 37 °C. Two days after transfection, cells were lysed and Rac protein expression was analyzed by imunoblotting as previously described (Engers et al. 2006b). Equal protein loading was confirmed by re-incubating the same membranes with a mouse monoclonal antibody against glyceraldehyde-3-phosphate dehydrogenase (GAPDH; Abcam, Bad Nauheim, Germany; dilution 1:5000).
Pathological and immunohistochemical evaluation
All tumors were staged using the tumor-node-metastasis (TNM) system (Sobin & Wittekind 2002) and graded according to the system described by Gleason (1988). In addition, all tumors were evaluated for blood vessel invasion (BVI), lymph vessel invasion (LVI), perineural invasion (PNI), and the presence of HG-PIN by the study pathologist. For immunohistochemistry representative 5 µm sections of paraffin-embedded tissue specimens were incubated with a Rac-specific monoclonal antibody (BD Biosciences; Clone 102; dilution 1:250), using a Ventana BenchMark immunohistochemical autostainer (Ventana Medical Systems, Munich, Germany) according to the manufacturers instructions. As a negative control, immunostaining of representative sections were performed by omitting the primary antibody. For quantification, the percentage of positive cells was divided into five groups: 0, 0%; 1, 110%; 2, 1150%; 3, 5180%; and 4, >80%. A scale from 0 (no staining) to 3 (strong immunoreactivity) was assigned to staining intensity. Immunoreactive scores were calculated by multiplying percentage score of positive cells times staining intensity score, yielding an end score of 012 (Engers et al. 2006a). This scoring system was used in the present study, because it is well established in routine diagnostic pathology. For instance, in breast cancer, this scoring system is used to determine hormone receptor expression semiquantitatively and based on the scores provided by the pathologist, clinicians decide whether or not patients will be treated with distinct drugs. In order to exclude potential influences of unknown differences in tissue fixation on immunohistochemical results, Rac immunoreactive ratios, defined as Rac immunoreactive scores in prostate cancer or HG-PIN respectively, relative to Rac immunoreactive scores in the corresponding benign secretory epithelium in the same section, were used for statistical analyses rather than absolute Rac immunoreactive scores. These ratios could be calculated, since in all cases analyzed immunoreactive scores in benign secretory epithelial cells were
1. Rac immunoreactive ratios >1 were defined as Rac overexpression. Clinical data collection and immunohistochemical analyses were performed independently of each other, with respective investigators blinded to the clinical outcome and Rac result until the study was completed.
Tissue collection
To verify whether increased Rac protein expression in prostate cancer as observed by immunohistochemistry is also detectable on the RNA level and to identify the Rac isoforms involved, representative samples of prostate cancer and the respective benign counterparts were collected. Since frozen material of the patients included in our immunohistochemical study was not available, representative tissue samples were collected from seven successively operated radical prostatectomy specimens within 15 min after surgery by the study pathologist. Normal and tumor tissues were identified by gross morphology and immediately verified by microscopy on frozen sections. The percentage of tumor in the respective samples was at least 60%. Collected and microscopically verified tissue samples were snap-frozen in liquid nitrogen and stored at 80 °C until further processing.
RNA extraction and real-time PCR
Frozen tissues were homogenized by mortar and pestle and total RNA was isolated using the RNeasy Mini Kit (Qiagen) including on-column DNA digestion with RNase-free DNase (Qiagen). RNA was reverse transcribed using oligo-dT and Omniscript Reverse Transcriptase (Qiagen). The quantitative real-time PCR was performed using the LightCycler instrument (Roche) and Platinum SYBR Green qPCR SuperMix-UDG (Invitrogen) in total volume of 20 µl. The generation of specific PCR products was confirmed by melting curve analysis and gel electrophoresis and sequencing. Primer efficiencies of each primer pair were determined by means of a logarithmic dilution of a cDNA derived from the prostate carcinoma cell line DU145 and a representative cDNA mix respectively. The following formula was used to calculate the respective primer pair efficiency: E = 10(1/slope) (crossing point plotted versus log of template concentration). Linear standard curves were generated with a logarithmic dilution of cDNA mix by using the LightCycler3 software (Roche). All samples were normalized to the level of GAPDH. To analyze the expressions of Rac1, Rac2, Rac3, and GAPDH respectively, the following primers were used
Protein extraction and Rac3 immunoblotting
Frozen tissues were homogenized by mortar and pestle and lysed in a buffer containing 150 mM NaCl, 20 mM Tris, pH 7.5, 1% Triton-X 100, and protease inhibitors (Roche). Protein concentrations were determined by the Bradford method and equal amounts of protein were separated by SDSPAGE. Expression levels of Rac3 were determined by immunoblotting using a Rac3-specific rabbit polyclonal antibody, kindly provided by Dr I de Curtis (Milano, Italy; Bolis et al. 2003). Equal protein loading was confirmed by re-incubating the same membranes with a mouse monoclonal antibody against GAPDH (Abcam; dilution 1:5000). For detection, the enhanced chemiluminescence detection system was used.
Statistics
Rac protein expression levels in benign, preneoplastic (HG-PIN), and neoplastic lesions as determined by semiquantitative immunohistochemistry as well as RNA expression levels of Rac isoforms in prostate cancer and the corresponding normal counterparts were compared by the Wilcoxon test. Associations between Rac overexpression and different clinicopathological parameters were assessed with Fishers exact test. DFS was calculated from the date of radical prostatectomy to the date of recurrence or last follow-up. The data on various biochemical and pathological parameters as well as Rac expression were analyzed by Cox proportional hazard method, using univariate and multivariate analysis. All P values were two-sided. The analyses were performed with SPSS statistical software version 12.0 (SPSS GmbH, Munich, Germany).
| Results |
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Based on histological evaluation, 37 tumors were categorized as pT2 (organ-confined tumors; 62%) and 23 tumors as pT3 (tumors with extraprostatic extension; 38%). In one patient (2%) a lymph node micrometastasis was observed. No distant metastases were detected at the time of radical prostatectomy. GSs ranged from 5 to 10 with GS 5 in 2 patients (3.3%), GS 6 in 9 patients (15%), GS 7 in 38 patients (63.3%), GS 8 in 4 patients (6.7%), GS 9 in 6 patients (10%), and GS 10 in 1 patient (1.7%). PNI was observed in 46 patients (77%), LVI in 6 patients (10%), and BVI in 2 patients (3%).
The Rac-specific antibody recognizes Rac1 and Rac3 isoforms
To our best knowledge, all Rac-specific antibodies suitable for immunohistochemistry on paraffin-embedded material exhibit at least some cross-reactivity among the different Rac isoforms, because of a high sequence identity of = 88% amongst these isoforms (Wennerberg & Der 2004). According to the manufacturers information, the monoclonal Rac-specific antibody we aimed to use for our immunohistochemical study does not react with Rac-related Rho and Cdc42 proteins. However, its cross-reactivity among different Rac isoforms has not been tested yet. Therefore, we first investigated whether this antibody recognizes all Rac isoforms, which may be expressed by epithelial cells (i.e. Rac1 and Rac3). By transient overexpression of the respective cDNAs in Cos7 cells and immunoblotting, we could demonstrate that this antibody recognizes Rac1 and Rac3 proteins and that both proteins are of the same molecular weight (Fig. 1
). From this we conclude that Rac protein expression in epithelial cells as determined by means of this antibody reflects expression of both Rac1 and Rac3 isoforms.
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By immunohistochemistry, we found that in human prostate tissues Rac was expressed by benign epithelial cells, HG-PIN lesions, prostate cancer, and inflammatory cells (Fig. 2A and B
). In contrast, fibromuscular stromal cells were almost entirely negative (Fig. 2B
). Interestingly, in inflammatory cells, benign secretory epithelial cells, and HG-PIN lesions Rac expression were exclusively restricted to the cytoplasm (Fig. 2A and B
), whereas in a small proportion of prostate cancers (n = 7, 11.7%), some of the tumor cells exhibited an additional nuclear expression pattern (Fig. 2C
). Moreover, while Rac expression in inflammatory cells, including lymphocytes, plasma cells, neutrophilic granulocytes, and histiocytes was constantly very strong, Rac expression in prostate cancer, HG-PIN lesions, and the respective benign prostatic glands sometimes varied considerably. Therefore, Rac expression in benign, premalignant, and malignant epithelial cells was analyzed by semiquantitative immunohistochemistry. We found that in 30 out of 60 carcinomas (50%) Rac expression levels were higher, in 27 carcinomas (45%) identical to, and in 3 carcinomas (5%) lower than in the respective corresponding benign secretory epithelial cells. Moreover, in 27 out of 53 HG-PIN lesions (51%) Rac expression levels were higher, in 22 HG-PIN lesions (41.5%) identical to, and in 4 HG-PIN lesions (7.5%) lower than in the corresponding benign secretory epithelial cells. In total, Rac expression levels proved significantly higher in prostate carcinomas (P < 0.001) and HG-PIN lesions (P < 0.001) than in the respective benign secretory epithelial cells (Fig. 2D
). However, no difference was seen between Rac expression levels in prostate carcinomas and HG-PIN lesions.
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To analyze potential associations between Rac protein expression in prostate cancer and different clinicopathological factors (age, preoperative PSA, LVI, BVI, PNI, pT, pN, GS, and disease recurrence), Rac immunoreactive ratios (e.g., Rac expression levels in prostate cancer relative to those in the corresponding benign secretory epithelial cells) were dichotomized into two categories (>1 vs
1, e.g., Rac overexpression versus no overexpression of Rac). Given a mean preoperative PSA level of 14.4 ng/ml in our cohort, preoperative PSA levels were dichotomized into < 15 ng/ml vs
15 ng/ml. GS was subdivided into < 7 vs
7, and pT stage into organ-confined tumors (pT2) versus tumors with extraprostatic extension (pT3). Other parameters such as LVI, BVI, PNI, and pN were categorized into present versus not present. As shown in Table 1
, Rac overexpression in prostate carcinoma was statistically significantly associated with the presence of PNI (P = 0.005), high GSs (i.e.
7; P = 0.043), and with disease recurrence (P = 0.041), but not with any other parameter.
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Since the follow-up times of patients in this cohort varied between 24 and 173 months, the Cox proportional hazards model and single-parameter analysis was used to determine the prognostic significance of each of the different clinicopathological factors (i.e. age, preoperative PSA, LVI, BVI, PNI, pT, pN, and GS) as well as Rac protein overexpression. As shown in Table 2
, age, LVI, BVI, PNI, and pN did not significantly predict DFS. In contrast, Rac protein overexpression (P = 0.045), preoperative PSA level (P = 0.044), pT stage (P = 0.002), and GS (P = 0.001) significantly predicted decreased DFS (Table 2
).
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2 P = 0.043; Table 3
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To verify whether increased Rac expression in prostate cancer as observed on the protein level by immunohistochemistry was also detectable on the RNA level, seven representative samples of prostate cancer and the respective normal counterparts were analyzed by real-time PCR. These analyses were initially performed for Rac1 and Rac3 only, because in contrast to Rac1 and Rac3, Rac2 is known to be exclusively expressed by hematopoietic cells (Wennerberg & Der 2004). Thus, we found that the sum of Rac1 and Rac3 expression levels was significantly higher in prostate carcinomas (mean = 1.65-fold, range 1.11- to 2.61-fold, P = 0.018) than in the corresponding normal tissues (Fig. 3A
). More specifically, in six out of seven cases RNA expression levels of Rac1 were higher (mean = 1.39-fold, range 1.04- to 2.23-fold) in prostate cancer than in the corresponding normal tissue, whereas in one case we observed a marked down-regulation of Rac1 in prostate cancer by ~50% in comparison with the normal counterpart (Fig. 3B
). In total, however, these differences in Rac1 RNA expression levels between tumor and benign tissue samples were not sufficient to reach statistical significance (P = 0.176).
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In contrast to Rac1, all prostate cancer samples examined exhibited higher RNA expression levels of Rac3 than the respective benign counterparts (mean = 3.10-fold, range 1.43- to 4.80-fold) and these differences proved to be statistically significant (P = 0.018; Fig. 3D
). These differences cannot simply be attributed to the choice of a distinct housekeeping gene (i.e. GAPDH) for normalization, because normalization for another housekeeping gene (adenine phosphoribosyltransferease) gave rise to similar results (data nor shown). Interestingly, all carcinomas exhibited higher ratios of Rac3/Rac1 RNA expression (mean = 0.77, range 0.101.80) than the respective normal counterparts (mean = 0.26, range 0.070.59; Fig. 3D
). We conclude that these data on the RNA level support our results obtained by semiquantitative immunohistochemistry on the protein level. Moreover, these results suggest that at least on the RNA level increased overall Rac expression in prostate cancer results mainly from up-regulation of Rac3 and only to a minor extent from up-regulation of Rac1.
Evaluating Rac3 expression in prostate cancer and its benign counterpart by immunoblotting
In the next step, we investigated whether increased Rac3 expression in prostate cancer as determined on the RNA level can also be observed on the protein level by immunoblotting. So far, only two Rac3-specific antibodies have been described in the literature (Haataja et al. 1997, Bolis et al. 2003). Of these, one antibody was recently found to cross-react with another yet unknown protein of approximately the same molecular weight as Rac3 (Cho et al. 2005), strongly limiting its applicability. Thus, the only Rac3-specific antibody available so far is the one generated by Dr Ivan de Curtis group (Bolis et al. 2003). However, this antibody is unsuitable for immunohistochemistry on paraffin-embedded tissues (Dr I de Curtis, personal communication). Therefore, we applied this antibody in the present study to determine Rac3 protein expression by immunoblotting and using frozen tissue samples of the same patients as analyzed for Rac3 expression on the RNA level. Due to the limited amount of available frozen tissue samples, these analyses had to be restricted to patients no. 2, 5, and 6. As shown in Fig. 3E
, all prostate carcinomas analyzed exhibited markedly higher Rac3 expression levels than the respective normal counterpart. Increased Rac3 expression in prostate cancer did not result from unequal protein loading as verified by re-incubating the same membrane with an antibody against GAPDH. These results are in line with the results obtained by real-time PCR and therefore suggest that increased Rac expression in prostate cancer, when compared with the respective normal counterpart, results mainly from increased expression of the Rac3 isoform.
| Discussion |
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In our study, Rac protein expression was mainly investigated by semiquantitative immunohistochemistry, using a monoclonal Rac-specific antibody of which we showed that it recognizes all Rac isoforms, known to be expressed by epithelial cells (i.e. Rac1 and Rac3). We found that overall Rac protein expression levels were significantly higher in prostate cancer than in the respective corresponding benign secretory epithelium (P < 0.001). This was supported by the fact that in additional cases, representatively analyzed by real-time PCR, the sum of Rac1 and Rac3 RNA expression levels was also significantly higher in prostate cancer than in the respective benign counterparts (P = 0.018). These results indicate that increased Rac expression is a common phenomenon in prostate cancer.
In search for the relative contribution of Rac1 and Rac3 isoforms to increased Rac expression in prostate cancer, we found by isoform-specific real-time PCR that all prostate carcinomas analyzed, exhibited significantly higher Rac3 expression levels (mean, 3.1-fold) than the respective normal counterparts. This also held true for the protein level as shown by immunoblotting of representative tissue samples of the same patients. In most of the cases examined by real-time PCR, Rac1 expression levels were also higher in tumor tissues than in the corresponding normal tissue samples, but these differences were markedly less pronounced than for Rac3 and probably due to the limited number of cases (n = 7), they did not reach statistical significance. As Rac1 is also expressed by inflammatory cells, one might speculate that differences in Rac1 expression as detected by real-time PCR between tumor and normal tissue samples were merely caused by differences in the extent of inflammation. However, this was not the case as verified by histological examination of the respective frozen tissue sections (data not shown) and by Rac2-specific real-time PCR. Interestingly, on average there was a threefold increase in the ratio of Rac3/Rac1 expression levels in all prostate carcinomas when compared with the respective normal counterparts. This suggests that increased overall Rac expression in prostate cancer results mainly from up-regulation of Rac3 and only to a minor extent from up-regulation of Rac1.
Neither the expression nor the role of Rac3 has been investigated in prostate cancer yet, and only very little is known about the role of Rac1 in prostate cancer. Given the known oncogenic/transforming potentials of Rac1 and Rac3 in other cell types (Qiu et al. 1995, Joyce & Cox 2003, Servitja et al. 2003), one might speculate that Rac signaling plays a major role in prostate carcinogenesis. This is supported by the fact that significantly increased Rac protein expression levels were not only observed in prostate cancer, but also in preneoplastic HG-PIN lesions, suggesting that increased Rac expression occurs early in prostate carcinoma development. We are aware of the fact that increased Rac expression does not necessarily implicate increased Rac activity. Rac proteins are known to cycle between a GDP-bound inactive and a GTP-bound active state (Wennerberg & Der 2004) and antibodies specific for either of these states are not available so far. Nevertheless, in our cohort, we have recently shown that the Rac-specific activator, Tiam1, is overexpressed in almost all prostate carcinomas (Engers et al. 2006a) and interestingly, overexpression of Rac significantly correlates with strong Tiam1 overexpression (data not shown). This suggests that at least in this cohort increased Rac expression is likely to reflect increased Rac activity. The potential mechanism through which Rac signaling might induce prostate carcinogenesis remains to be determined. Rac stimulates several important signaling pathways, including the p38 mitogen-activated protein kinase, the c-Jun N-terminal Kinase, and the extracellular signal-regulated kinase pathways (Coso et al. 1995, Zhang et al. 1995, Frost et al. 1996), which are known to regulate gene transcription. Therefore, it is conceivable that increased Rac expression might induce transcription of distinct oncogenes and/or inhibit transcription of distinct tumor suppressor genes, which consequently results in oncogenic transformation.
In addition to their effects on transformation, Rac1 and Rac3 have also been implicated in the regulation of migration and invasion of tumor cells (Price & Collard 2001, Chan et al. 2005), but studies on Rac3 in this respect are very scarce. Interestingly, the effects of Rac1 on migration and invasion in vitro may be either stimulating or inhibitory, depending on the cell-substrate used, the fact as to whether or not the formation of E-cadherin-mediated cellcell adhesions is prevented, and the cell type studied (Sander et al. 1998, Braga et al. 1999, Engers et al. 2001, Price & Collard 2001). Given these heterogeneous effects of Rac1 on migration and invasion of epithelial cells in vitro, the effect of increased Rac expression in a given tumor in vivo on DFS might be positive or negative. In prostate cancer, we found that increased Rac expression (relative to the corresponding benign secretory epithelium) is significantly associated with decreased DFS in univariate and most importantly also in multivariate analysis, including several factors typically used to predict the prognosis of patients with prostate cancer. This suggests that in prostate cancer increased Rac expression is an indicator of tumor aggressiveness. In addition, our results suggest that Rac overexpression is a new independent predictor of disease recurrence for patients with prostate cancer and that tumors with higher Rac expression levels than in the corresponding benign secretory epithelium require more aggressive treatment.
The cohort of our study is restricted to 60 patients with R0-resected prostate cancer including 53 patients with appropriate follow-up. Despite its limited size, the strength of this cohort is its restriction to R0-resected tumors, because thus disease recurrence indeed reflects tumor aggressiveness (i.e. the development of metastasis) rather than being merely the result of incomplete surgical excision of the primary tumor. Furthermore, our cohort is representative as evidenced by the fact that well-established prognostic factors, including preoperative PSA level, pT stage, and GS, were also significantly associated with disease recurrence in both univariate and multivariate analysis in our study. Of these, only the preoperative PSA level lost its prognostic effect when Rac overexpression was included into the multivariate analysis. To date, we have evaluated Rac expression only in radical prostatectomy specimens, but if this marker is to be used as part of a pretreatment decision-making tool, its predictive power has to be validated in studies on biopsy specimens as well.
In conclusion, the present study suggests that increased Rac protein expression is an early event in prostate cancer development, which appears to result mainly from up-regulation of the Rac3 isoform. Moreover, Rac overexpression in prostate cancer relative to the corresponding benign prostate epithelial cells is an independent predictor of disease recurrence, which in addition to the so far established prognostic factors in prostate cancer, provides valuable information to the clinician in order to optimize the postoperative treatment planning of individual patients. It will be interesting to analyze its predictive power in further studies on biopsy specimens as well as in other tumor cell types.
| Acknowledgements |
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