Abstract
BACKGROUND: Recently, deleted in breast cancer 1 (DBC1) has been suggested as a poor prognostic indicator of various human cancers and may possibly have a role as a coactivator of androgen receptor (AR). However, their roles in lymphoma are still unknown. MATERIALS AND METHODS: We investigated the effect of the expression of DBC1 and AR in diffuse large B cell lymphoma (DLBCL). Immunohistochemical expression of DBC1 and AR were evaluated in 101 DLBCL samples by tissue microarray. RESULTS: Positive expression of DBC1 and AR was seen in 73% and 70% of DLBCL, respectively. In total DLBCL patients, DBC1 and AR expression were significantly associated with high clinical stage, elevated serum lactate dehydrogenase levels, and high international prognostic index scores, and they predicted shorter overall survival (OS) and relapse-free survival (RFS) by univariate analysis. DBC1 expression was also an independent prognostic indicator by multivariate analysis (OS, P = .017; RFS, P = .004). Especially, both DBC1 and AR expression significantly correlated with shorter OS and RFS in non-germinal center B cell (non-GCB)-type DLBCL by univariate analysis. In multivariate analysis, DBC1 expression was an independent prognostic predictor for OS (P = .035) and AR expression significantly correlated with RFS (P = .005). CONCLUSION: We demonstrate that the expression of DBC1 and AR are significant prognostic indicators for DLBCL patients, especially for unfavorable non-GCB-type DLBCL.
Introduction
Diffuse large B cell lymphoma (DLBCL) is the most common type of lymphoma, accounting for 31% of non-Hodgkin's lymphoma, and has aggressive clinical courses [1,2]. However, DLBCL is not a homogeneous tumor entity and includes various heterogeneous subgroups. DLBCL has continuously been subclassified according to the origin of tumor cells, clinicopathologic characteristics, and alteration of the genetic background of the tumor [2]. Currently, four distinct subtypes, eight distinct disease entities, and many clinicopathologic variants are recognized in the most recent 2008 World Health Organization classification [2]. However, these are only a minority of DLBCLs and most DLBCLs are given the diagnostic label DLBCL, with no additional specification [2]. Therefore, there is a need to further categorize DLBCL according to the molecular mechanisms involved, to develop specific treatment modalities, and to better predict the prognosis of DLBCL patients.
Deleted in breast cancer 1 (DBC1) gene was firstly found by its deletion in chromosome 8p21 in breast cancer [3]. The characterization of DBC1 originally focused on its inhibition of SIRT1 and the consequences this may have in tumor suppressor [4]. However, despite the original identification of DBC1 by its deletion in breast cancer, over-expression of DBC1 has been reported in various cancers [5–8]. In addition, there was simultaneously increased expression of SIRT1 and DBC1 in advanced human malignant tumors [6,7]. Moreover, DBC1 represses the tumor suppressor BRCA1 [9] and SUV39H1 methyltransferase [10]. DBC1 could induce cellular proliferation by positively modulating steroid hormone receptors [11–13]. Depletion of DBC1 could also induce apoptosis or inhibition of the proliferation of cancer cells [5,13]. Therefore, there is a possibility that DBC1 has a proproliferative effect on the tumor cells. However, exact role of DBC1 in tumorigenesis is still unclear.
Androgen receptor (AR) is a member of the nuclear receptor family and acts as a ligand-regulated transcription factor. Ligand-bound AR binds to specific androgen response elements (AREs) and induces transcription of target genes [14]. In addition, there is evidence that AR may also induce or inhibit transcription of particular target genes by interacting with coregulator proteins, termed coactivators or corepressors [14]. AR is expressed in many types of normal and malignant cells, regardless of sex [15–18]. In addition to the expression in prostatic adenocarcinoma, the expression of AR has been reported in various human malignant tumors, such as breast carcinoma [19], urothelial carcinoma of the bladder [20], gastric carcinoma [21], hepatocellular carcinoma [15,22], and lymphoma [23,24].
Currently, a large number of AR coactivators has been reported, and recently, DBC1 is known to be a novel AR coactivator [12]. DBC1 enhances AR DNA-binding activity and facilitates AR transcriptional activation [12]. In addition, recent gene microarray data in the Oncomine database (www.oncomine.org) of published microarray data indicate that DBC1 expression was increased in both germinal center B cell (GCB) and non-GCB DLBCL types [25,26]. Therefore, it is suggested that DBC1-mediated regulation of AR could be involved in the pathogenesis of DLBCL. However, there is no report concerning the expression pattern and the role of DBC1 and AR in DLBCL. Therefore, here we investigated the expression status of DBC1 and AR in DLBCL and evaluated their relationship to the progression and prognosis of DLBCL patients with surgical samples of DLBCL.
Materials and Methods
Patients and Samples
For this study, we used previously established tissue microarrays (TMAs) from 104 DLBCL patients diagnosed between December 1995 and April 2007 for whom the expressional status of CD10, Bcl6, MUM1, and Bcl2 was known [27]. Among the 104 cases included in the TMAs, three tissue cores had been exhausted by the previous study. For these three cases, we reviewed the original tissue blocks. However, there were no remaining usable samples. Therefore, we finally included 101 cases in the present study. This study had local ethics committee approval obtained from the Chonbuk National University Hospital's Institutional Review Board. Informed consent was provided according to the Declaration of Helsinki.
In the 101 patients included in the present study, 59 patients received cyclophosphamide, doxorubicin, vincristine, and prednisone (CHOP) chemotherapy as an initial regimen. Since 2004, rituximab was added and 34 patients were treated with rituximab-CHOP (R-CHOP). Four patients were treated with combined chemotherapy with other regimens and four patients were treated with radiotherapy. The patients were grouped according to their age (<60 years vs ≥60 years), sex, stage (I and II vs III and IV), number of extranodal sites (<2 vs ≥2), serum lactate dehydrogenase (LDH) levels, Eastern Cooperative Oncology Group (ECOG) performance status (0–1 vs 2–4), presence of bulky disease, presence of B symptoms, presence of complete response (CR), immunohistochemical expression of Bcl2, and immunohistochemical subtype of DLBCL by the expression pattern of CD10, Bcl6, and MUM1 (GCB vs non-GCB) [28,29]. We have used the data for immunohistochemical expression for Bcl2 and immunohistochemical subtyping from our previously published report [27]. In addition, the patients were grouped by international prognostic index (IPI) scores [low (score of 0–2) vs high (score of 3–5)] [28,30]. Although there were no data for serum LDH levels in six patients, it was not influenced by the IPI categorization because the IPI scores without including serum LDH levels of six patients were zero, one, or three [27].
Immunohistochemical Staining and Scoring
Immunohistochemical staining was performed by using previously established TMAs. The antigen retrieval procedure was performed with a microwave oven for 12 minutes in sodium citrate buffer. The following markers were used: DBC1 (1:100; Bethyl Laboratories, Montgomery, TX) and AR (1:50; Santa Cruz Biotechnology, Santa Cruz, CA; clone N-20). Immunohistochemical scoring was performed by three pathologists (K.Y.J., S.J.N., and H.S.P.) under a multiviewing microscope with consensus without knowledge of the clinicopathologic information. Positivity for DBC1 and AR immunostaining was evaluated to estimate the percentages of positive tumor cells for each marker. Because it has been reported that DBC1 and AR are expressed primarily in the nuclei [6,7,23,24], we have evaluated only nuclear staining for the estimation of positivity for DBC1 and AR immunostaining. The cases showed nuclear immunoreactivity in more than 30% of tumor cells scored as positive according to the cutoff value used by others and us [6,7,27–29].
Statistical Analysis
End points of interest were overall survival (OS) and relapse-free survival (RFS). The follow-up end point was the date of last contact or the date of death through December 2011. The association between DBC1 and AR expression and other clinicopathologic factors were analyzed using the Pearson chi-squared test or Pearson correlation coefficient. OS was measured from the date of diagnosis to the date of death or last contact. Patients who were alive at last contact were treated as censored for OS analysis. RFS was measured from the date of diagnosis to the date of relapse, death, or last contact. Patients who were alive at last contact and who had not recurred were treated as censored for RFS analysis. Univariate and multivariate Cox proportional hazard regression analyses were performed for the survival analysis. The method by Kaplan and Meier was used to further illustrate the impact of OS and RFS where indicated. Five- and 10-year survival rates were also calculated. Statistical analyses were performed using SPSS software (version 18.0). P values less than .05 were considered statistically significant.
Results
Association of DBC1 and AR Expression with Clinicopathologic Characteristics of DLBCL
The clinicopathologic features are summarized in Table 1. Responses to treatments were assessed according to international workshop criteria [31]. Among the 101 patients with assessable responses, 64 patients (63%) had CR and 37 patients (37%) failed to achieve CR. Nineteen of the 64 patients with CR (30%) relapsed, and 53 patients (52%) of the total group died. The median follow-up was 61.5 months (range, 1–191 months). The OS for the entire group of DLBCL patients was 48%. The 5- and 10-year survival rates for the entire group were 51% and 45%, respectively. By applying the TMA algorithm for the immunohistochemical staining for CD10, Bcl6, and MUM1 described by Hans et al., 37 (37%) patients were classified as GCB-type and 64 patients (63%) as non-GCB-type DLBCL [28]. The clinical features of the total DLBCL patients, GCB-type DLBCL, and non-GCB-type DLBCL are shown in Table 1.
Table 1.
Clinicopathologic Variables and the Expression Status of DBC1 and AR in Total DLBCL, Non-GCB-Type DLBCL, and GCB-Type DLBCL.
| Characteristics | Total DLBCL | Non-GCB Type | GCB Type | ||||||||||||
| n | DBC1+ | P | AR+ | P | n | DBC1+ | P | AR+ | P | n | DBC1+ | P | AR+ | P | |
| Age, years | |||||||||||||||
| <60 | 51 | 37 (73%) | .869 | 37 (73%) | .617 | 28 | 22 (79%) | .738 | 21 (75%) | 1.000 | 23 | 15 (65%) | .695 | 16 (70%) | .234 |
| ≥60 | 50 | 37 (74%) | 34 (68%) | 36 | 27 (75%) | 27 (75%) | 14 | 10 (71%) | 7 (50%) | ||||||
| Sex | |||||||||||||||
| Male | 58 | 42 (72%) | .822 | 39 (67%) | .435 | 34 | 27 (79%) | .567 | 26 (76%) | .772 | 24 | 15 (63%) | .371 | 13 (54%) | .173 |
| Female | 43 | 32 (74%) | 32 (74%) | 30 | 22 (73%) | 22 (73%) | 13 | 10 (77%) | 10 (77%) | ||||||
| B symptoms | |||||||||||||||
| Absence | 82 | 59 (72%) | .535 | 56 (68%) | .360 | 49 | 36 (73%) | .291 | 36 (73%) | .609 | 33 | 23 (70%) | .427 | 20 (61%) | .575 |
| Presence | 19 | 15 (79%) | 15 (79%) | 15 | 13 (87%) | 12 (80%) | 4 | 2 (50%) | 3 (75%) | ||||||
| Performance status | |||||||||||||||
| 0 to 1 | 74 | 51 (69%) | .102 | 49 (66%) | .137 | 47 | 32 (68%) | .008 | 31 (66%) | .005 | 27 | 19 (70%) | .550 | 18 (67%) | .353 |
| 2 to 4 | 27 | 23 (85%) | 22 (81%) | 17 | 17 (100%) | 17 (100%) | 10 | 6 (60%) | 5 (50%) | ||||||
| Bulky disease | |||||||||||||||
| Absence | 91 | 67 (74%) | .806 | 64 (70%) | .983 | 59 | 45 (76%) | .850 | 44 (75%) | .788 | 32 | 22 (69%) | .698 | 20 (63%) | .915 |
| Presence | 10 | 7 (70%) | 7 (70%) | 5 | 4 (80%) | 4 (80%) | 5 | 3 (60%) | 3 (60%) | ||||||
| Stage | |||||||||||||||
| I, II | 49 | 31 (63%) | .027 | 29 (59%) | .018 | 27 | 17 (63%) | .028 | 17 (63%) | .057 | 22 | 14 (64%) | .536 | 12 (55%) | .247 |
| III, IV | 52 | 43 (83%) | 42 (81%) | 37 | 32 (86%) | 31 (84%) | 15 | 11 (73%) | 11 (73%) | ||||||
| Extranodal sites | |||||||||||||||
| 0 to 1 | 76 | 54 (71%) | .381 | 51 (67%) | .221 | 47 | 35 (74%) | .511 | 35 (74%) | .870 | 29 | 19 (66%) | .612 | 16 (55%) | .095 |
| ≥2 | 25 | 20 (80%) | 20 (80%) | 17 | 14 (82%) | 13 (76%) | 8 | 6 (75%) | 7 (88%) | ||||||
| LDH | |||||||||||||||
| Normal | 54 | 36 (67%) | .038 | 34 (63%) | .015 | 34 | 22 (65%) | .010 | 22 (65%) | .029 | 20 | 14 (70%) | .928 | 12 (60%) | .255 |
| Elevated | 41 | 35 (85%) | 35 (85%) | 27 | 25 (93%) | 24 (89%) | 14 | 10 (71%) | 11 (79%) | ||||||
| IPI score | |||||||||||||||
| 0 to 2 | 63 | 41 (65%) | .017 | 38 (60%) | .005 | 36 | 23 (64%) | .007 | 22 (61%) | .004 | 27 | 18 (67%) | .847 | 16 (59%) | .550 |
| 3 to 5 | 38 | 33 (87%) | 33 (87%) | 28 | 26 (93%) | 26 (93%) | 10 | 7 (70%) | 7 (70%) | ||||||
| CR | |||||||||||||||
| Absence | 37 | 30 (81%) | .177 | 31 (84%) | .024 | 25 | 21 (84%) | .261 | 22 (88%) | .054 | 12 | 9 (75%) | .503 | 9 (75%) | .265 |
| Presence | 64 | 44 (69%) | 40 (63%) | 39 | 28 (72%) | 26 (67%) | 25 | 16 (64%) | 14 (56%) | ||||||
| Bcl2 | |||||||||||||||
| Negative | 66 | 49 (74%) | .761 | 47 (71%) | .782 | 40 | 32 (80%) | .402 | 31 (78%) | .551 | 26 | 17 (65%) | .663 | 16 (62%) | .904 |
| Positive | 35 | 25 (71%) | 24 (69%) | 24 | 17 (71%) | 17 (71%) | 11 | 8 (73%) | 7 (64%) | ||||||
| CD10 | |||||||||||||||
| Negative | 82 | 60 (73%) | .964 | 58 (71%) | .843 | 64 | 49 (77%) | NA | 48 (75%) | NA | 18 | 11 (61%) | .414 | 10 (56%) | .420 |
| Positive | 19 | 14 (74%) | 13 (68%) | 0 | 0 (0%) | 0 (0%) | 19 | 14 (74%) | 13 (68%) | ||||||
| Bcl6 | |||||||||||||||
| Negative | 46 | 36 (78%) | .300 | 37 (80%) | .041 | 42 | 32 (76%) | .923 | 33 (79%) | .362 | 4 | 4 (100%) | .142 | 4 (100%) | .098 |
| Positive | 55 | 38 (69%) | 34 (62%) | 22 | 17 (77%) | 15 (68%) | 33 | 21 (64%) | 19 (58%) | ||||||
| MUM1 | |||||||||||||||
| Negative | 51 | 33 (65%) | .050 | 32 (63%) | .093 | 22 | 15 (68%) | .252 | 15 (68%) | .362 | 29 | 18 (62%) | .174 | 17 (59%) | .398 |
| Positive | 50 | 41 (82%) | 39 (78%) | 42 | 34 (81%) | 33 (79%) | 8 | 7 (88%) | 6 (75%) | ||||||
| DLBCL type | |||||||||||||||
| GCB | 37 | 25 (68%) | .325 | 23 (62%) | .174 | ||||||||||
| Non-GCB | 64 | 49 (77%) | 48 (75%) | ||||||||||||
| AR | |||||||||||||||
| Negative | 30 | 6 (20%) | <.001 | 16 | 3 (19%) | <.001 | 14 | 3 (21%) | <.001 | ||||||
| Positive | 71 | 68 (96%) | 48 | 46 (96%) | 23 | 22 (96%) | |||||||||
NA indicates not applicable.
As it has been previously reported, immunoreactivity of DBC1 in DLBCL tissues was found primarily in the nuclei [6,7]. Similarly, AR has been reported to be expressed primarily in the nuclei and minimally in the cytoplasm in hematopoietic malignant cell lines [23], AR expression was mainly localized in the nuclei of tumor cells in DLBCL, and weak cytoplasmic expression was also observed in some cases. The results of immunohistochemical staining for DBC1 and AR are shown in Figure 1. Positive expression of DBC1 and AR was seen in 73% (74/101) and 70% (71/101) of patients (Table 1). In total DLBCL patients, as shown in Table 1, DBC1 expression significantly correlated with advanced clinical stage (P = .027), elevated serum LDH level (P = .038), high IPI score (P = .017), and AR expression (P < .001). The correlation coefficient between DBC1 and AR expression was 0.782 (P < .001). The expression of AR was also significantly correlated with advanced clinical stage (P = .018), elevated serum LDH level (P = .015), high IPI score (P = .005), absence of CR (P = .024), and absence of Bcl6 expression (P = .041). In non-GCB-type DLBCL, DBC1 expression showed significant correlation with high ECOG performance status (P = .008), advanced clinical stage (P = .028), elevated serum LDH level (P = .010), and high IPI score (P = .007). AR expression also showed significant correlation with high ECOG performance status (P = .005), elevated serum LDH level (P = .010 and P = .029, respectively), and high IPI score (P = .004). However, there were no clinicopathologic factors that have statistically significant association with DBC1 or AR expression in GCB-type DLBCL. Of particular note, the correlation between DBC1 expression and AR expression was significant in both non-GCB-type (P < .001) and GCB-type (P < .001) DLBCL.
Figure 1.
Immunohistochemical expression of DBC1 and AR in DLBCL. DBC1 and AR are expressed primarily in the nuclei of the tumor cells. Original magnification, x400.
Expression of DBC1 and AR in DLBCL Was Correlated with Reduced RFS and OS according to Univariate Analysis
Univariate analysis of the expression of DBC1 and AR and its relationship to RFS and OS are shown in Table 2. For DLBCL in general, presence of B symptoms, high ECOG performance status, high clinical stage, increased serum LDH, high IPI score, absence of Bcl6 expression, and non-GCB-type DLBCL predicted shorter OS and RFS (Figure 2, A and B). DBC1 expression predicted shorter OS (P = .001) and RFS (P < .001; Figure 2C). Tumors expressing AR were associated with both significantly shorter OS (P = .003) and RFS (P = .002; Figure 2D). The 5- and 10-year survival rates of DBC1-negative patients were both 78%. In contrast, the patients with DBC1 expression had a 35% 5-year survival rate and a 28% 10-year survival rate. Similarly, the patients with AR expression had a 29% 10-year survival rate, and AR-negative patients had a 69% 10-year survival rate. The 5-year survival rate of R-CHOP-treated patients (65%) was longer than that of CHOP-treated patients (43%). Although, there was no difference in OS between R-CHOP- and CHOP-treated patients (P = .143), R-CHOP-treated patients showed favorable RFS compared with CHOP-treated patients (P = .024). In our DLBCL population, the follow-up duration was different between those two groups since rituximab was added in treatment regimens of DLBCL after 2004. The mean follow-up duration of the R-CHOP-treated group was 34 months (range, 1–92 months), while it was 59 months (range, 2–191 months) for the CHOP-treated group. Therefore, when we did survival analysis in the patients with less than 93 months of follow-up, R-CHOP-treated patients showed significantly longer OS (P < .001) and RFS (P < .001) than those of the CHOP-treated patients. In these patient groups, DBC1 expression also predicted shorter OS (P = .001) and RFS (P = .001) and AR expression also predicted shorter OS (P = .003) and RFS (P = .004).
Table 2.
Five- and 10-Year Survival Rates according to Clinicopathologic Factors and Their Effect on RFS and OS in Total DLBCL Cases by Univariate Analysis.
| Characteristics | n | RFS, HR (95% CI) | P | OS, HR (95% CI) | P | 5 Years (%) | 10 Years (%) |
| Age, years | |||||||
| <60 | 51 | 1 | .346 | 1 | .445 | 51 | 51 |
| ≥60 | 50 | 1.281 (0.765–2.146) | 0.810 (0.471–1.392) | 42 | 25 | ||
| B symptoms | |||||||
| Absence | 82 | 1 | .005 | 1 | .025 | 51 | 44 |
| Presence | 19 | 2.327 (1.287–4.206) | 2.062 (1.097–3.877) | 31 | 31 | ||
| Performance status | |||||||
| 0 to 1 | 74 | 1 | .001 | 1 | .002 | 54 | 46 |
| 2 to 4 | 27 | 2.597 (1.515–4.451) | 2.482 (1.412–4.361) | 28 | 28 | ||
| Bulky disease | |||||||
| Absence | 91 | 1 | .028 | 1 | .179 | 49 | 42 |
| Presence | 10 | 2.316 (1.093–4.910) | 1.729 (0.778–3.844) | 36 | 36 | ||
| Stage | |||||||
| I, II | 49 | 1 | <.001 | 1 | .001 | 66 | 56 |
| III, IV | 52 | 2.785 (1.620–4.788) | 23.0 (17.0–29.0) | 31 | 31 | ||
| Extranodal sites | |||||||
| 0 to 1 | 76 | 1 | .105 | 1 | .407 | 48 | 40 |
| ≥2 | 25 | 1.597 (0.908–2.809) | 1.296 (0.702–2.394) | 45 | 45 | ||
| LDH | |||||||
| Normal | 54 | 1 | .002 | 1 | .036 | 55 | 40 |
| Elevated | 41 | 2.376 (1.392–4.055) | 1.810 (1.041–3.147) | 34 | 34 | ||
| IPI score | |||||||
| 0 to 2 | 63 | 1 | <.001 | 1 | <.001 | 58 | 48 |
| 3 to 5 | 38 | 3.252 (1.938–5.458) | 2.632 (1.530–4.529) | 30 | 30 | ||
| Treatment | |||||||
| R-CHOP | 36 | 1 | .024 | 1 | .143 | 65 | NA |
| CHOP | 60 | 2.121 (1.103–4.077) | 1.649 (0.845–3.219) | 43 | 38 | ||
| Bcl2 | |||||||
| Negative | 66 | 1 | .467 | 1 | .499 | 45 | 38 |
| Positive | 35 | 0.814 (0.468–1.417) | 0.817 (0.454–1.469) | 52 | 52 | ||
| CD10 | |||||||
| Negative | 82 | 1 | .102 | 1 | .294 | 45 | 40 |
| Positive | 19 | 0.536 (0.254–1.131) | 0.668 (0.314–1.420) | 54 | 54 | ||
| Bcl6 | |||||||
| Negative | 46 | 1 | .026 | 1 | .004 | 34 | 23 |
| Positive | 55 | 0.553 (0.329–0.930) | 0.448 (0.258–0.777) | 58 | 58 | ||
| MUM1 | |||||||
| Negative | 51 | 1 | .178 | 1 | .323 | 55 | 43 |
| Positive | 50 | 1.425 (0.851–2.384) | 1.316 (0.764–2.266) | 40 | 40 | ||
| DLBCL type | |||||||
| GCB | 37 | 1 | .005 | 1 | .018 | 62 | 62 |
| Non-GCB | 64 | 2.321 (1.289–4.179) | 2.132 (1.138–3.995) | 39 | 32 | ||
| DBC1 | |||||||
| Negative | 27 | 1 | <.001 | 1 | .001 | 78 | 78 |
| Positive | 74 | 4.817 (2.065–11.239) | 4.699 (1.867–11.827) | 35 | 28 | ||
| AR | |||||||
| Negative | 30 | 1 | .002 | 1 | .003 | 69 | 69 |
| Positive | 71 | 3.026 (1.527–5.997) | 3.149 (1.481–6.699) | 36 | 29 | ||
| DBC1/AR | |||||||
| -/- | 24 | 1 | .001 | 1 | .002 | 76 | 76 |
| +/- or -/+ | 9 | 1.768 (0.498–6.272) | .378 | 1.468 (0.392–5.490) | .569 | 59 | 59 |
| +/+ | 68 | 4.413 (1.884–10.340) | .001 | 4.187 (1.663–10.544) | .002 | 34 | 26 |
HR indicates hazard ratio; 5 years, 5-year survival rate; 10 years, 10-year survival rate; NA, not applicable; -/-, DBC1-/AR-; +/-, DBC1+/AR-; -/+, DBC1-/AR+; +/+, DBC1+/AR+.
Figure 2.
Kaplan-Meier survival analysis in total DLBCL cases. OS and RFS of IPI risk groups (A) and GCB-versus non-GCB-type DLBCL (B). Relationship of DBC1 expression (C) and AR expression (D) to OS and RFS.
In non-GCB type, high ECOG performance status, high clinical stage, high IPI score, DBC1 expression, and AR expression predicted shorter OS and RFS (Figure 3, A and B). In GCB type, high clinical stage, high number of extranodal involvement, and high IPI score predicted shorter OS. However, there was no factor significantly associated with RFS in GCB type. Only the expression of DBC1 was a possible predictor of RFS (P = .064; Figure 3, C and D). When separately considering DLBCL patients with low or high IPI scores, DBC1 expression predicted significantly worse OS and RFS within both low IPI (OS, P = .013; RFS, P = .023) and high IPI (OS, P = .036; RFS, P = .033) categories. AR expression also predicted significantly shorter OS (P = .028) within the low IPI category but not in high IPI category.
Figure 3.
Kaplan-Meier survival analysis in non-GCB- and GCB-type DLBCL. Relationship of DBC1 (A) and AR expression (B) to OS and RFS in non-GCB-type DLBCL. Relationship of DBC1 (C) and AR expression (D) to OS and RFS in GCB-type DLBCL.
There was significant correlation between DBC1 and AR expression, and positive correlative roles between these two molecules in cell biology have been suggested. Therefore, we performed further survival analysis with the combined expression patterns of DBC1 and AR. As shown in Figure 4, DLBCL coexpressing DBC1 and AR (DBC1+/AR+ group) showed the most unfavorable OS and RFS compared with other subgroups in total DLBCL (log rank: OS, P = .001; RFS, P < .001) and non-GCB type (log rank: OS, P = .002; RFS, P < .001). The 10-year survival rate of the DBC1+/AR+ group was 26% in total DLBCL and only 17% in non-GCB type. In contrast, the 10-year survival rate of DBC1-/AR- group was 76% in total DLBCL and 75% in non-GCB type (Table 2).
Figure 4.
Kaplan-Meier survival analysis DLBCL according to the combined expression pattern of DBC1 and AR. OS and RFS in total DLBCL (A), non-GCB-type DLBCL (B), and GCB-type DLBCL (C).
Expression of DBC1 in DLBCL Was an Independent Prognostic Factor for Worse Survival Outcome by Multivariate Analysis
The variables significantly correlated with OS or RFS by univariate analysis were included in multivariate analysis for OS or RFS. The variables included in multivariate analysis for OS and RFS of total DLBCL were presence of B symptoms, ECOG performance status, presence of bulky disease, stage, serum LDH levels, IPI score, immunohistochemical subtype of DLBCL, and the expression of BCL6, DBC1, and AR. For total DLBCL, stage, ECOG performance status, presence of bulky disease, and DBC1 expression were independent prognostic factors significantly associated with both OS and RFS. The patients with DBC1 expression had a 3.137-fold [95% confidence interval (CI), 1.23–8.0] greater risk of lower OS (P = .017) and a 3.909-fold (95% CI, 1.536–9.95) greater risk of lower RFS (P = .004) than those who did not express DBC1. DBC1 expression was also a prognostic factor significantly associated with OS in non-GCB-type DLBCL. The patients having DBC1-expressing tumors had a 3.695-fold (95% CI, 1.098–12.437) greater risk of death than those who did not express DBC1 (P = .035). In non-GCB-type DLBCL, AR expression was significantly associated with lower RFS (P = .005) by multivariate analysis. However, in GCB-type DLBCL, only the clinical stage of DLBCL was an independent predictor of OS (P = .020). Other factors did not associate with OS or RFS by multivariate analysis in GCB-type DLBCL (Tables 3 and 4).
Table 3.
Five- and 10-Year Survival Rates according to Clinicopathologic Factors and Their Effect on RFS and OS in Non-GCB- and GCB-Type DLBCL by Univariate Analysis.
| Characteristics | n | RFS, HR (95% CI) | P | OS, HR (95% CI) | P | 5 Years (%) | 10 Years (%) |
| Non-GCB | |||||||
| Age, years | |||||||
| <60 | 29 | 1 | .441 | 1 | .578 | 32 | 32 |
| ≥60 | 37 | 0.791 (0.436–1.435) | 1.194 (0.640–2.225) | 40 | 20 | ||
| B symptoms | |||||||
| Absence | 51 | 1 | .032 | 1 | .156 | 38 | 25 |
| Presence | 15 | 2.085 (1.064–4.086) | 1.689 (0.819–3.480) | 33 | 33 | ||
| Performance status | |||||||
| 0 to 1 | 49 | 1 | <.001 | 1 | .002 | 44 | 31 |
| 2 to 4 | 17 | 3.685 (1.955–6.946) | 2.865 (1.485–5.527) | 18 | 18 | ||
| Bulky disease | |||||||
| Absence | 60 | 1 | .026 | 1 | .520 | 38 | 29 |
| Presence | 6 | 3.003 (1.141–7.903) | 1.409 (0.496–4.001) | 20 | 20 | ||
| Stage | |||||||
| I, II | 27 | 1 | .004 | 1 | .013 | 55 | 36 |
| III, IV | 39 | 2.576 (1.359–4.883) | 2.374 (1.204–4.681) | 24 | 24 | ||
| Extranodal sites | |||||||
| 0 to 1 | 48 | 1 | .488 | 1 | .647 | 33 | 20 |
| ≥2 | 18 | 1.265 (0.650–2.462) | 0.840 (0.398–1.773) | 47 | 47 | ||
| LDH | |||||||
| Normal | 35 | 1 | .007 | 1 | .217 | 43 | 26 |
| Elevated | 28 | 2.335 (1.267–4.305) | 1.497 (0.789–2.842) | 30 | 30 | ||
| IPI score | |||||||
| 0 to 2 | 37 | 1 | <.001 | 1 | .015 | 46 | 31 |
| 3 to 5 | 29 | 3.213 (1.748–5.906) | 2.176 (1.162–4.076) | 25 | 25 | ||
| Treatment | |||||||
| R-CHOP | 19 | 1 | .135 | 1 | .417 | 45 | NA |
| CHOP | 43 | 1.773 (0.837–3.756) | 1.372 (0.640–2.944) | 37 | 29 | ||
| Bcl2 | |||||||
| Negative | 41 | 1 | .477 | 1 | .349 | 35 | 25 |
| Positive | 25 | 0.797 (0.427–1.489) | 0.729 (0.375–1.414 | 39 | 39 | ||
| DBC1 | |||||||
| Negative | 15 | 1 | .001 | 1 | .006 | 78 | 78 |
| Positive | 49 | 6.914 (2.133–22.415) | 5.286 (1.623–17.220) | 26 | 18 | ||
| AR | |||||||
| Negative | 16 | 1 | .001 | 1 | .005 | 69 | 69 |
| Positive | 48 | 6.154 (2.183–17.347) | 4.401 (1.558–12.433) | 26 | 18 | ||
| DBC1/AR | |||||||
| -/- | 13 | 1 | .001 | 1 | .008 | 75 | 75 |
| +/- or -/+ | 5 | 0.691 (0.072–6.658) | .749 | 0.518 (0.053.5.096) | .573 | 67 | 67 |
| +/+ | 46 | 6.818 (2.097–22.160) | .001 | 4.225 (1.301–13.724) | .017 | 24 | 17 |
| GCB | |||||||
| Age, years | |||||||
| <60 | 23 | 1 | .057 | 1 | .105 | 72 | 72 |
| ≥60 | 15 | 2.859 (0.971–8.420) | 0.382 (0.119–1.223) | 41 | NA | ||
| B symptoms | |||||||
| Absence | 34 | 1 | .197 | 1 | .103 | 66 | 66 |
| Presence | 4 | 2.307 (0.648–8.220) | 2.935 (0.804–10.720) | 25 | 25 | ||
| Performance status | |||||||
| 0 to 1 | 28 | 1 | .321 | 1 | .137 | 67 | 67 |
| 2 to 4 | 10 | 1.729 (0.586–5.100) | 2.359 (0.761–7.310) | 45 | 45 | ||
| Bulky disease | |||||||
| Absence | 33 | 1 | .144 | 1 | .072 | 64 | 64 |
| Presence | 5 | 2.599 (0.723–9.344) | 3.337 (0.899–12.381) | 40 | 40 | ||
| Stage | |||||||
| I, II | 22 | 1 | .060 | 1 | .024 | 79 | 79 |
| III, IV | 16 | 2.696 (0.958–7.584) | 3.904 (1.198–12.724) | 34 | 34 | ||
| Extranodal sites | |||||||
| 0 to 1 | 30 | 1 | .098 | 1 | .036 | 69 | 69 |
| ≥2 | 8 | 2.482 (0.847–7.275) | 3.326 (1.085–10.197) | 33 | 33 | ||
| LDH | |||||||
| Normal | 21 | 1 | .085 | 1 | .074 | 72 | 72 |
| Elevated | 14 | 2.681 (0.873–8.230) | 2.786 (0.907–8.557) | 38 | 38 | ||
| IPI score | |||||||
| 0 to 2 | 28 | 1 | .082 | 1 | .029 | 70 | 70 |
| 3 to 5 | 10 | 2.507 (0.890–7.064) | 3.400 (1.136–10.170) | 36 | 36 | ||
| Treatment | |||||||
| R-CHOP | 17 | 1 | .229 | 1 | .471 | 81 | NA |
| CHOP | 17 | 2.284 (0.595–8.771) | 1.684 (0.408–6.956) | 55 | 55 | ||
| Bcl2 | |||||||
| Negative | 27 | 1 | .476 | 1 | .773 | 57 | 57 |
| Positive | 11 | 0.630 (0.177–2.241) | 0.826 (0.226–3.016) | 73 | 73 | ||
| DBC1 | |||||||
| Negative | 12 | 1 | .160 | 1 | .105 | 80 | 80 |
| Positive | 25 | 2.513 (0.696–9.072) | 3.573 (0.765–16.681) | 51 | 51 | ||
| AR | |||||||
| Negative | 14 | 1 | .876 | 1 | .501 | 68 | 68 |
| Positive | 23 | 0.921 (0.326–2.599) | 1.502 (0.459–4.912) | 56 | 56 | ||
| DBC1/AR | |||||||
| -/- | 11 | 1 | .285 | 1 | .440 | 78 | 78 |
| +/- or -/+ | 4 | 3.652 (0.731–18.255) | .115 | 2.761 (0.456–16.703) | .269 | 50 | 50 |
| +/+ | 22 | 1.749 (0.470–6.506) | .404 | 2.636 (0.565–12.293) | .217 | 54 | 54 |
HR indicates hazard ratio; 5 years, 5-year survival rate; 10 years, 10-year survival rate; NA, not applicable; -/-, DBC1-/AR-; +/-, DBC1+/AR-; -/+, DBC1-/AR+; +/+, DBC1+/AR+.
Table 4.
Multivariate Cox Regression Analysis for RFS and OS in Total DLBCL, Non-GCB Type, and GCB Type.
| Characteristics | RFS, HR (95% CI) | P | OS, HR (95% CI) | P |
| Total DLBCL | ||||
| Stages III and IV (versus I and II) | 2.775 (1.456–5.290) | .002 | 2.703 (1.450–5.037) | .002 |
| DBC1 positive (versus negative) | 3.909 (1.536–9.950) | .004 | 3.137 (1.230–8.000) | .017 |
| Bcl6 positive (versus negative) | 0.789 (0.422–1.473) | .456 | 0.440 (0.243–0.795) | .007 |
| Performance status 2 to 4 (versus 0–1) | 2.309 (1.296–4.113) | .005 | 1.811 (1.006–3.261) | .048 |
| Bulky disease presence (versus absence) | 2.737 (1.246–6.011) | .012 | 2.528 (1.091–5.855) | .030 |
| Non-GCB | ||||
| Stages III and IV (versus I and II) | 2.234 (1.166–4.280) | .015 | 2.319 (1.160–4.636) | .017 |
| AR positive (versus negative) | 4.541 (1.562–13.197) | .005 | 1.899 (0.455–7.925) | .379 |
| DBC1 positive (versus negative) | 2.368 (0.508–11.044) | .273 | 3.695 (1.098–12.437) | .035 |
| Performance status 2 to 4 (versus 0–1) | 2.363 (1.232–4.532) | .010 | 2.007 (1.020–3.948) | .044 |
| GCB | ||||
| Stages III and IV (versus I and II) | 4.166 (1.258–13.800) | .020 | ||
| DBC1 positive (versus negative) | 3.663 (0.723–18.547) | .117 |
Discussion
In the present study, we investigated the possible clinical significance of the expression of DBC1 and AR in DLBCL patients. Of significance, positive expression of DBC1 and AR were seen in 73% (74/101) and 70% (71/101) of patients, respectively, and the expression of DBC1 and AR showed significant correlation. In addition, the expression pattern of DBC1 and AR were significantly associated with high clinical stage, elevated serum LDH level, and high IPI score, and they both predicted shorter OS and RFS in DLBCL. In multivariate analysis, DBC1 expression was an independent prognostic indicator of OS and RFS in total DLBCL patients. In non-GCB-type DLBCL, DBC1 expression was an independent prognostic indicator of OS and AR expression significantly correlated with RFS. These findings suggest that DBC1 and AR may be involved in the progression of DLBCL and their expression is a clinically significant prognostic indicator in DLBCL patients, especially in non-GCB type. In line with this study, DBC1 was also a poor prognostic indicator of human malignant tumors, such as breast cancer [6], gastric carcinoma [7], and esophageal squamous cell carcinoma [5]. However, the expression of DBC1 and AR in lymphoid organs are underestimated and there is no report on the clinical significance of their expression in lymphoma. Therefore, this is the first report evaluating the clinicopathologic significance of DBC1 and AR in human DLBCL.
In this report, we present DBC1 as an indicator of poor prognosis of DLBCL. Consistently, DBC1 predicted poor survival of the various cancer patients [5–7]. A recent report showed that DBC1 enhances AR DNA-binding activity and facilitates AR transcriptional activation [12]. In this study, the expression of DBC1 and AR were significantly correlated in DLBCL. Sixty-eight of 74 (96%) cases of DBC1-positive DLBCL were positive for AR. In addition, both AR and DBC1 expression were significantly associated with poor prognosis of DLBCL patients. Especially, DLBCL coexpressing DBC1 and AR had shorter survival times, and DLBCL expressing neither of the two showed the longest survival time. In the DBC1-/AR-group, there was no difference in the 10-year survival rates between GCB (78%) and non-GCB type (75%). In contrast, the 10-year survival rate was significantly deferent between GCB (54%) and non-GCB type (17%) in the DBC1+/AR+ group. In addition, our previous report also indicated SIRT1 as an indicator of poor prognosis of DLBCL despite the opposing roles of SIRT1 and DBC1 [27]. There was also a high correlative association between DBC1 and SIRT1 expression [6,7]. Therefore, we analyzed the correlation between DBC1 and SIRT1 with previously reported SIRT1 expression in DLBCL [27] and DBC1 expression in this study. In this analysis, they were also significantly correlated (P = .003). Sixty of 74 (81%) cases of DBC1-expressing DLBCL showed SIRT1 positivity. Therefore, our results suggest that cooperation of DBC1 with AR, as an AR coactivator, may be involved in the progression of DLBCL rather than having a role as an SIRT1 inhibitor.
AR is a ligand-regulated transcription factor [14] and it is distributed in various normal and malignant cells [15–18]. AR expression in human hematopoietic malignancies, including leukemic cells [32], non-Hodgkin's lymphoma cells [23,24], and Hodgkin's lymphoma cells [23], has also been demonstrated. Recent data in the Oncomine microarray database also showed increased AR expression in DLBCL [33]. The expression rate of AR in human tissues was reported to vary from 12.9% to 100% according to the scoring methods [15–22, 34–37]. In our study, 70% (71 of 101) of DLBCL expressed AR and that was relatively higher than expectation. Interestingly, AR expression was significantly associated with CR rate. AR-negative DLBCL had an 84% CR rate, while AR-positive DLBCL showed only a63% CR rate. Similarly, AR-negative breast cancer patients (24.5%) showed a higher CR rate following neoadjuvant chemotherapy than AR-positive (12.8%) patients [38]. In urothelial carcinoma, AR expression decreased the chemosensitivity of tumor cells and increased the migration of tumor cells [39]. In addition, AR promoted hepatic tumorigenesis by increasing cellular oxidative stress and DNA damage, as well as suppressing p53 [15]. Moreover, a recent report suggested that androgen therapy may have a benefit in the treatment of AR-expressing ovarian tumors based on the finding that the expression of AR decreased when the tumor was exposed to platinum-based chemotherapy [40]. Therefore, it has been suggested that AR expression may be involved in both progression of DLBCL and resistance to chemotherapeutic agents. In our previous report, SIRT1 expression was also associated with low a CR rate in DLBCL patients [27]. Therefore, when we analyzed the correlation of AR and SIRT1 expression, there was significant correlation between the expression of AR and SIRT1 (P = .003). Fifty-eight of 71 (82%) cases of AR-expressing DLBCL were also positive for SIRT1. Therefore, there is a possibility that AR-mediated chemoresistance may be related to SIRT1 expression in tumor cells. However, the exact role of AR in human malignant tumors is still unclear and further study is needed. The clinical significance of AR expression in malignant tumors has also been addressed in several conflicting reports. In some reports, cancer cells showed higher AR expression than in normal tissues [15,34,41] and AR expression was correlated with poor clinical courses in prostatic cancer [34], male breast cancer [19], gastric carcinoma [21], and hepatocellular carcinoma [22]. In contrast, other reports have shown that AR expression was associated with favorable clinical course [18,20,35–37] or did not affect the clinical course [16,17].
Currently, most DLBCL patients are treated with R-CHOP- based chemotherapy. After addition of rituximab to CHOP chemotherapy, the survival of patients improved significantly [42]. In our patient population, R-CHOP-treated patients showed significantly longer RFS than CHOP-treated patients. When we did survival analysis in the follow-up of 67 matched patients, R-CHOP-treated patients showed significantly longer OS and RFS. Accordingly, because the recent chemotherapeutic regimens are based on R-CHOP, we performed additional survival analysis with the incorporation of the DBC1 and AR expression data within the R-CHOP-treated patients. In the R-CHOP-treated subgroup, DBC1 expression predicted shorter OS (P = .006) and RFS (P = .027) despite a small patient group (n = 34). AR expression was also a predictor of OS (P = .051) and RFS (P = .072), although with borderline significance.
Although DLBCL is clustered as one diagnostic category, DLBCL is a heterogeneous group composed of B cells with various genetic, molecular, and developmental backgrounds [1,2]. One of the classifications of DLBCL that can be done easily in clinical practice is the division of DLBCL into GCB and non-GCB subgroups by immunohistochemical staining. GCB versus non-GCB subgrouping of DLBCL significantly affected the prognosis of the patients [27,28]. According to the Hans algorithm, the lack of germinal center cell phenotype is associated with poor prognosis [28]. Our results also demonstrated the non-GCB group as having a poor prognosis. In addition, despite the improvement of an outcome of both GCB and non-GCB groups with R-CHOP chemotherapy, the non-GCB immune phenotype remains a poor prognostic factor [43]. In our 36 patients treated with R-CHOP chemotherapy, the non-GCB group had shorter OS than the GCB group (P = .081; 5-year survival rates: GCB, 70%; non-GCB, 42%; mean survival time: GCB, 61 ± 25 months; non-GCB, 50 ± 30 months). Interestingly, in our study, both DBC1 and AR expression significantly correlated with shorter OS and RFS in the non-GCB subtype. Therefore, we suggest that DBC1 and AR targeted therapy could be a good additional stratagem for the treatment of DLBCL patients with poor prognosis.
Taken together, our findings suggest that the DBC1-AR pathway may have a role in the progression of DLBCL and the expression of DBC1 and AR are clinically significant prognostic indicators for DLBCL patients, especially those with non-GCB-type DLBCL. In addition, our findings suggest that modulation of DBC1- and AR-related steroid hormone pathways could be new therapeutic targets for the treatment of DLBCL.
Footnotes
This work was supported by the National Research Foundation of Korea grant funded by the Korean Government (No. 2012-0009320) and by a grant (2011) from Chonbuk National University Medical School Alumni Association Fund.
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