Pronostic significance of angiogenic/lymphangiogenic, anti-apoptotic, inflammatory and viral factors...

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This article appeared in a journal published by Elsevier. The attachedcopy is furnished to the author for internal non-commercial researchand education use, including for instruction at the authors institution

and sharing with colleagues.

Other uses, including reproduction and distribution, or selling orlicensing copies, or posting to personal, institutional or third party

websites are prohibited.

In most cases authors are permitted to post their version of thearticle (e.g. in Word or Tex form) to their personal website orinstitutional repository. Authors requiring further information

regarding Elsevier’s archiving and manuscript policies areencouraged to visit:

http://www.elsevier.com/copyright

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Leukemia Research 33 (2009) 1627–1635

Contents lists available at ScienceDirect

Leukemia Research

journa l homepage: www.e lsev ier .com/ locate / leukres

Pronostic significance of angiogenic/lymphangiogenic, anti-apoptotic,inflammatory and viral factors in 88 cases with diffuse large B celllymphoma and review of the literature�

Semra Paydas a,∗, Melek Ergin b, Gulsah Seydaoglu c, Seyda Erdogan b, Sinan Yavuz a

a Department of Oncology, Cukurova University Faculty of Medicine, 01330 Adana, Turkeyb Department of Pathology, Cukurova University Faculty of Medicine, 01330 Adana, Turkeyc Department of Biostatistics, Cukurova University Faculty of Medicine, 01330 Adana, Turkey

a r t i c l e i n f o

Article history:Received 11 January 2009Received in revised form 11 February 2009Accepted 14 February 2009Available online 16 March 2009

Keywords:LymphomaVEGF-AVEGF-CCox-2TSP-1SurvivinEBVPrognosisAngiogenesisLymphangiogenesis

a b s t r a c t

Background: Diffuse large B cell lymphoma (DLBCL) is the most common subtype of Non-Hodgkinslymphomas (NHL). The outcome of these patients shows a wide variation. We evaluated the effectof six biologic parameters including Cyclooxygenase-2 (Cox-2), Survivin, Epstein Barr Virus (EBV),Vascular Endothelial Growth Factor-A (VEGF-A), Vascular Endothelial Growth Factor-C (VEGF-C),Thrombospondin-1 (TSP-1) and clinical parameters.Patients and methods: A follow up study was conducted and 88 cases with DLBCL were included in thestudy. The data of 72 patients were eligible for the survival analyses. Immunohistochemistry was used todetect these parameters.Results: The ratio of positive cases for Cox-2, VEGF-A, Survivin, VEGF-C, EBV, TSP-1 were 71.6%, 64.8%,60.2%, 36.4%, 21.6%, 14.8%, respectively. Survivin (+) cases showed higher LDH levels and VEGF-A (+) casesshowed higher beta 2 microglobulin (B2M) levels compared with (−) cases. Mean survival rates werefound to be significantly shorter in cases expressing VEGF-A, VEGF-C, EBV and Survivin than cases notexpressing these. EBV expression (HR: 3.78; 95%CI: 1.47–9.74; p = 0.006), VEGF-C expression (HR: 3.22;95%CI: 1.07–9.68; p = 0.037) and extranodal involvement (HR: 3.02; 95%CI: 1.01–8.97; p = 0.047) werefound to be independent risk factors for prognosis according to the Cox regression analysis.Comment: Lymphangiogenesis (VEGF-C) and EBV related viral lymphomagenesis have been found to berelated with prognosis in DLBCL patients.

© 2009 Elsevier Ltd. All rights reserved.

1. Introduction

NHLs are a group of heterogeneous malignant disorders. DLBCLis the most common subtype and accounts for approximately35–40% of the cases. In this subgroup, there are different clin-ical entities showing different biology and clinical outcomes.Although characteristic morphological, immunophenotypic, cyto-genetic and clinical features have been recognized, DLBCL hasdifferent subgroups showing different outcome clinically, morpho-logically (centroblastic, immunoblastic, anaplastic, plasmablastic,primary mediastinal large B cell lymphoma, primary effusion lym-phoma, intravascular large B cell lymphoma etc) and genetically(Germinal center B cell like (GCB), activated B cell like (ABC) andtype III DLBCL). Classification of NHLs, especially micro array and

� This study has been presented at LLM meeting October 16–18, 2008 New York.∗ Corresponding author. Tel.: +90 322 3386060; fax: +90 322 3386153.

E-mail address: [email protected] (S. Paydas).

other developing technologies will be more informative to deter-mine the biology of these entities [1]. There are many studiesdetermining the prognostic and predictive value of various biologicparameters in this heterogeneous entity. So far, several biologicmarkers have been reported, some of which give prognostic andsome predictive information about the biology of these differentsubgroups. In this paper we studied angiogenic, lymphangiogenic,anti-apoptotic, inflammatory and viral markers in DLBCL.

In this study VEGF-A and VEGF-C as angiogenic and lymphangio-genic, Survivin as anti-apoptotic, Cox-2 for inflammation and EBVfor viral lymphomagenesis and TSP-1 have been studied and theprognostic importance of these have been compared with classicalprognostic factors including age, stage, B symptom, internationalprognostic index (IPI), extranodal involvement, lactic dehydroge-nase (LDH), B2M and overall survival (OS).

2. Patients and methods

Patients were evaluated with standard methods including history, physicalexamination and biochemical–hematological tests. Ann Arbor Staging System was

0145-2126/$ – see front matter © 2009 Elsevier Ltd. All rights reserved.doi:10.1016/j.leukres.2009.02.015

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1628 S. Paydas et al. / Leukemia Research 33 (2009) 1627–1635

Table 1Distributions of biological parameters.

n (%)

COX-2 Negative 25(28.4)Positive 63(71.6)

TSP-1 Negative 75(85.2)Positive 13(14.8)

EBV Negative 69(78.4)Positive 19(21.6)

SURVIVIN Negative 35(39.8)Positive 53(60.2)

VEGF-A Negative 31(35.2)Positive 57(64.8)

VEGF-C Negative 56(63.6)Positive 32(36.4)

Table 2Distributions of combination of biological parameters.

Parameter Both (+) Both (−) Either one +

EBV/Survivin 32 40 16EBV/VEGF-A 28 44 16EBV/VEGF-C 47 31 10EBV/TSP1 59 26 3EBV/Cox2 22 50 16VEGF-A/Cox2 13 30 45VEGF-A/Survivin 18 30 40VEGF-A/TSP1 28 50 10VEGF-A/VEGF-C 30 27 31VEGF-C/Survivin 25 41 22VEGF-C/Cox2 18 45 25VEGF-C/TSP1 51 29 8Survivin/Cox2 12 36 40Survivin/TSP1 32 46 10TSP-1/Cox2 21 58 9

used to determine the disease status of the patients. Biopsy samples were re-evaluated according to the WHO classification. VEGF-A, VEGF-C, Cox-2, TSP-1,EBV-LMP-1 and Survivin were studied by immunohistochemistry. Originally, 177cases with NHL including low and high grade lymphomas were evaluated for sixparameters; each parameter was published in whole group [2–5]. In this study,88 cases with DLBCL were evaluated for all of these six biologic parameters. Five-micron-thick sections were cut from formalin-fixed and paraffin-embedded tissueblocks, dewaxed and hydrated. Usual immunohistochemical staining procedureswere applied to the samples for every biological parameter. Sections were incu-bated with Survivin (Santa Cruz Biotechnology Inc. cat# sc-17779 Positive control:tonsil staining pattern: nuclear), TSP-1 (Thrombospondine-1: Novacastra Cat # NCL-TSP1 Positive control: placenta, staining pattern: cytoplasmic), VEGF-A (VEGF (A-20)Santa Cruz Biotechnology Inc. cat# sc-150 Positive control: tonsil, staining pat-tern: cytoplasmic), VEGF-C (VEGF-C Zymed Laboratories Inc. cat# 18-2255 Positivecontrol: colon carcinoma, staining pattern: cytoplasmic), EBV-LMP1 (Epstein-Barrvirus-latent membrane protein, Novacastra NCL-EBV-CS1- Positive control: Hodgkindisease, staining pattern: cytoplasmic), and Cox-2 (Cyclooxygenase-2 NovacastraNCL-COX-2 Positive control: Ulcerative colitis staining pattern: H score:). Cytoplas-mic staining for EBV, LMP1, VEGF-A, VEGF-C, TSP-1 and nuclear staining for Survivinat the tumor cells were considered as positive. Immunohistochemical Score (IHS)was determined by combining an estimate of the ratio (%) of immunoreactive cells(quantity score) with an estimate of the staining intensity (intensity score) for Cox-2. The details of staining steps and evaluation parameters were explained in ourprevious papers [2–5].

3. Statistics

The results are reported as mean ± SD or n and percentages (%)ranges. The categorical variables between the groups were analyzedby using the Chi square test or Fisher’s exact test Comparisons wereapplied using the student t test. The predictors of survival were ana-lyzed by the Kaplan–Meier method and compared by the Mantellog-rank test. Overall Survival (OS) was defined as the time intervalbetween diagnosis and death of any cause related to lymphoma orcensoring. Censoring was defined as being alive at the last follow- Ta

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S. Paydas et al. / Leukemia Research 33 (2009) 1627–1635 1629

Fig. 1. (a) Survival curve according to the Cox-2 expression. (b) Survival curve according to the TSP-1 expression. (c) Survival curve according to the EBV expression. (d)Survival curve according to the Survivin expression. (e) Survival curve according to the VEGF-A expression. (d) Survival curve according to the VEGF-C expression.

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1630 S. Paydas et al. / Leukemia Research 33 (2009) 1627–1635

up. A multivariate analysis was performed with the variables thathave a p value < 0.2 in the univariate analysis or that were consid-ered clinically or pathophysiologically important (age) with usingthe Cox regression model. A p value less than 0.05 was consideredto be significant. Age has been used as a continuous variable, notcategorized. The IPI 0 + 1 + 2 were categorized into low grade and3 + 4 were categorized into high grade for IPI.

4. Results

Eighty eight cases with DLBCL were included in this study.Female/male ratio was 39/49, mean age was 53.7 ± 15.6 (range20–82). 56.5% of the cases had early and 43.5% of the cases hadadvanced stage disease. Two thirds of the patients had extra-nodal involvement. Anemia, leucopenia and thrombocytopeniawere detected in 56.8%, 8.6% and 4.9% of the cases at diagnosis,respectively. LDH was high in 75% of the cases and 55.6% of thecases had high B2M level. Cox-2 was found to be positive in 71.6%,TSP-1 in 14.8%, EBV in 21.6%, Survivin in 60%, VEGF-A in 64.8% andVEGF-C in 36.4% of the cases. The expression of these biologicalparameters has been shown in Table 1. Distributions of combinationof these biological parameters have been shown in Table 2. Whenwe compared the clinical and biological parameters, there wasan association between Survivin expression and lymphadenopa-thy (0.031), EBV expression and high LDH (0.013), and VEGF-Aexpression and high B2M (0.007). Table 3 shows the correlationbetween clinical parameters and examined biological parametersin this study. Among these six parameters there was a correlationbetween VEGF-A and Cox-2 (kappa: 0.21, p: 0.038), VEGF-A and Sur-vivin (kappa: 0.27, p: 0.010) and VEGF-A and VEGF-C (kappa: 0.43,p: 0.0001).

Overall survival times were shorter in cases with EBV, Survivin,VEGF-A, and VEGF-C expression as compared to cases not express-ing these parameters (p values were 0.0001, 0.02, 0.03 and 0.001,respectively). The median follow up time was 22 months (min: 1max: 154). The 5-year OS was 49% for all cases (mean survival rate:88 months, median: 60 months). The shortest survival time wasseen in cases showing EBV expression: mean survival time was 21months in EBV positive cases while this time was 106 months incases without EBV expression. As expected, cases with advancedstage disease, having higher IPI and developing relapse had shortersurvival. Table 4 shows the overall survival times of the cases andFig. 1 shows the survival curves of the cases according to the Cox-2, TSP-1, EBV, Survivin, VEGF-A and VEGF-C expression. Double,either or no expression for these parameters and their overall sur-vival times has been shown in Table 5. In all cases showing doubleexpression for these biologic parameters showed shorter survivaltimes as compared with no expression.

When we evaluated these six biologic parameters and clinicalparameters including stage, age, IPI and extra-nodal involvementin multivariate analyses, the independent prognostic factors werefound to be EBV expression (HR: 3.78; 95%CI: 1.47–9.74; p = 0.006),VEGF-C expression (HR: 3.22; 95%CI: 1.07–9.68; p = 0.037) andextranodal involvement (HR: 3.02; 95%CI: 1.01–8.97; p = 0.047).

5. Discussion

DLBCL is the most frequent subtype of NHLs. DLBCL is het-erogeneous entity; clinically, morphologically and genetically.Classification of NHLs, especially DLBCL, is a continuous process.Micro array and other developing technologies will be more infor-mative to determine the biology of these entities [1]. There are manystudies determining the prognostic and predictive role of variousbiologic parameters in this heterogeneous entity. Here we studiedVEGF-A for angiogenesis, VEGFC for lymphangiogenesis, Survivin

Table 4Overall survival times of the cases according to the expression of the examinedbiologic parameter.

Overall survival (month)mean/median

Total/dead n p value

COX-2 Negative 113/– 22/5Positive 71/57 50/21 0.2

TSP-1 Negative 90/– 61/21Positive 39/30 11/5 0.4

EBV Negative 106/– 57/15Positive 21/13 15/11 0.0001

SURVIVIN Negative 118/– 37/7Positive 60/35 40/19 0.02

VEGF-A Negative 112/– 28/6Positive 66/35 44/20 0.03

VEGF-C Negative 109/– 48/11Positive 40/23 24/15 0.001

IPI grade Low 106/– 46/12High 35/31 26/14 0.006

Stage Early 107/– 44/11Advanced 56/31 28/15 0.01

EN inv No 110/– 24/5Yes 63/31 48/21 0.03

Relapse No 140/– 13/1Yes 43/30 22/13 0.001

for anti-apoptotic signal, Cox-2 for inflammatory and EBV for virallymphomagenesis in DLBCL.

5.1. Survivin

Survivin is a 165 kDa protein that belongs to the IAP family. Sur-vivin has multiple functions including cytoprotection, inhibition ofcell death and cell cycle regulation and it is important in mitoticprocess which is very important in malignant cell survival [6,7].Survivin is over-expressed in most of the malignant tumors whilethere is no expression it is not expressed in differentiated adult tis-sues. In lymphomas the frequency of Survivin expression changesaccording to the subtype of NHL and is between 55–100%. In DLBCLSurvivin has been shown in 55–82% of the cases [8–14]. Survivin hasbeen found to be a poor prognostic indicator in DLBCL: overexpres-sion of it has been shown to be correlated with reduced remissionrates and shorter survival times. Thus Survivin expression has beenfound in more aggressive forms of this entity: high IPI, the pres-ence of B symptom and/or extranodal disease, high LDH, shorter5-year OS, older age and advanced stage were found to be associ-ated with Survivin expression but Survivin expression has not beenfound to be related with all the poor prognostic indicators in allstudies [8–10,13,15–24]. In our cases, we found Survivin expressionin 60% of the cases and this expression was found to be associatedwith lymphadenopathy and high LDH which is associated with hightumor burden and shorter OS.

5.2. VEGF-A and VEGF-C

Angiogenesis and lymphangiogenesis are the essential stepsin carcinogenesis and VEGF-A and VEGF-C are the main play-ers of tumor angiogenesis/lymphangiogenesis [25–28]. There isan important association between the angiogenesis and lymphan-giogenesis and also with inflammatory signals ([29–31]. In DLBCLangiogenesis has been studied in a relatively higher number of thecases, however lymphangiogenesis has been studied in very lim-ited number of these cases. VEGF-A expression in DLBCL has beenfound in 60–80% of the cases and generally it has been found that

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S. Paydas et al. / Leukemia Research 33 (2009) 1627–1635 1631

Table 5Overall survival times of the cases with or without one or more biologic parameter.

Overall survival (month) mean/median Total/dead n p

EBV SURVIVIN Both (−) 120/– 30/6 0.2*

Either one + 81/– 29/10 0.0001**

Both (+) 18/13 13/10 0.001***

EBV VEGF-A Both (−) 117/– 26/5 0.2*

Either one + 85/– 33/11 0.0001**

Both (+) 19/33 13/10 0.0006***

EBV VEGF-C Both (−) 125/– 41/6 0.0008*

Either one + 44/31 23/14 0.0001**

Both (+) 10/13 8/6 0.008***

EBV TSP-1 Both (−) 108/– 48/12 0.004*

Either one + 34/30 22/12 0.0004**

Both (+) 10/5 2/2 0.1***

EBV COX-2 Both (−) 1/8 20/4 0.5*

Either one + 87/– 39/12 0.002**

Both (+) 22/13 13/10 0.0005***

SURVIVIN COX-2 Both (−) 116/– 12/3 0.4*

Either one + 96/– 30/6 0.1**

Both (+) 50/30 30/17 0.005***

TSP-1 COX-2 Both (−) 108/– 20/5 0.6*

Either one + 78/60 43/16 0.1**

Both (+) 33/19 9/5 0.1***

VEGF-A COX-2 Both (−) 126/– 12/2 0.6*

Either one + 84/– 26/7 0.1**

Both (+) 61/30 34/17 0.05***

VEGF-C COX-2 Both (−) 125/– 17/3 0.6*

Either one + 90/– 36/10 0.02**

Both (+) 30/19 19/13 0.002***

VEGF-A SURVIVIN Both (−) 127/– 18/3 0.6*

Either one + 71/– 24/7 0.01**

Both (+) 44/27 30/16 0.008***

VEGF-C SURVIVIN Both (−) 134/– 24/3 0.05*

Either one + 77/60 32/12 0.0007**

Both (+) 25/23 16/11 0.03***

VEGF-A TSP-1 Both (−) 105/– 25/6 0.2*

Either one + 77/57 39/15 0.009**

Both (+) 23/19 8/5 0.09***

VEGF-C TSP-1 Both (−) 104/– 43/11 0.1*

Either one + 53/35 23/10 0.002**

Both (+) 21/14 6/5 0.1***

VEGF-C COX-2 Both (−) 121/– 22/4 0.3*

Either one + 84/– 32/10 0.006**

Both (+) 30/19 18/12 0.01***

VGF-A COX-2 Both (−) 118/– 15/3 0.6*

Either one + 83/– 26/7 0.06**

Both (+) 57/27 31/16 0.04***

VEGF-A VEGF-C Both (−) 111/– 27/6 0.6*

Either one + 93/– 22/5 0.004**

Both (+) 40/23 23/15 0.03***

SURVIVIN TSP-1 Both (−) 127/– 29/5 0.003*

Either one + 51/31 35/18 0.2**

Both (+) 46/– 8/3 0.4***

* p between both (−) and either one+ groups** p between either one + and both+ groups

*** p between both (−) and both (+) groups

lymphomas showing higher angiogenic potential are related withshortest disease free survival (DFS) and/or OS and poor prognos-tic indicators including aggressive histology and/or transformedmorphology [32–43]. Additionally, correlations between VEGF-Aand Cox-2, Survivin and VEGF-C were detected. These correlationsshow and confirm the strong prognostic value of VEGF-A and com-plex interaction with lymphangiogenesis, anti-apoptotic signalsand also inflammatory signals [44–52]. We found VEGF-A expres-

sion in 65% of the cases, this expression was found to be associatedwith high B2M and shorter survival.

VEGF-C expression has been studied in small number of thecases and in these studies. In one study covering 39 cases, VEGF-Cexpression has been found in almost all of the cases with DLBCL. Inone study VEGF-C was found to be associated with high LDH andIPI, in second study VEGF-C was found to be associated with angio-genesis, higher IPI and shorter OS [41,49,53]. We found VEGF-C

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1632 S. Paydas et al. / Leukemia Research 33 (2009) 1627–1635

expression in only one third of the cases; however in our studyVEGF-C was one of the most important prognostic parametersamong the biologic and clinical prognostic indicators. We needmore studies covering more patients to solve this discrepancy tounderstand the biologic significance of VEGF-C in DLBCL.

5.3. TSP-1

TSP-1 is a 450 kDa extra cellular matrix protein with multi-functional capacity. Classically it is known that TSP-1 is a potentinhibitor of physiological angiogenesis. It may suppress the cellcycle, inhibits angiogenesis, metastasis and is important in suppres-sion of carcinogenesis [54–57]. Regulation of cell growth, motilityand apoptosis both in physiological and pathological conditions arevariable. The main function of TSP-1 is not clear and controversialresults have been shown in different studies. It can stimulate tumorgrowth, but also induce apoptosis. It blocks tumoral invasion andinhibits tumor angiogenesis. TSP-1 expression in tumors must becarefully evaluated because of its stimulatory and inhibitory effectson tumors. The function of TSP-1 may be dependent on the celltype and microenvironment. It has been shown that TSP-1 overex-pression in some cancers and cancer cell lines inhibits angiogenesisand suppresses tumor progression [58–61]. For example, elevatedTSP1/TSP2 levels have been found in bone marrow cultures fromMM patients as compared to healthy donors and an interactionbetween MM plasma cells and microenvironment. With these find-ings, it has been suggested that CD47 and TSP1/TSP2 may have arole in the pathogenesis of MM [62]. In our study we did not findan important data about the TSP-1 expression in lymphomas. Wefound TSP-1 expression in 15% of the cases, and TSP-1 expressingcases showed shorter survival (39 months vs. 90 months) but differ-ence was statistically non significant,. Also double positive cases forTSP-1 and other biologic markers such as Survivin, VEGF-A, VEGF-C, EBV and Cox-2 showed the shortest survival times as comparedcases without TSP-1 expression and other parameters. Although wedid not find an important prognostic importance of TSP-1 in DLBCL,shorter survival in cases with TSP-1 suggest that TSP-1 may be abad prognostic indicator in DLBCL and must be studied in furtherstudies.

5.4. EBV

EBV belongs to the herpes virus family and infects B cellsand epithelial cells. EBV-induced upregulation of angiogenic fac-tors may play a significant role in tumor progression. EBVassociated hemopoietic neoplasias are Hodgkin’s lymphoma andnon-Hodgkin’s lymphomas [63–66]. The highest prevalence hasbeen reported in HIV related lymphomas: nearly 100% of pri-mary central nervous system lymphomas, 80% of DLBCL withimmunoblastic features, 30–50% of Burkitt’s lymphomas, 60% ofplasmablastic lymphomas, 70% of primary effusion lymphoma, andnearly 100% of Hodgkin’s lymphomas. In one of the largest stud-ies about EBV and lymphoma (n: 520); EBV-encoded RNA-1 in situhybridization (EBER-ISH) positivity has been detected in 7.4% and31% of the cases with B-NHL and T-NHL, respectively [67–73]. InDLBCL, EBV has been found in 9–12% of the cases using EBER-ISH,in one of these latent membrane protein-1 (LMP-1) has been foundin only 3% of the cases [51,74,75]. In most of these studies, EBVwas found to be a bad prognostic indicator and has been foundto be associated with older age, advanced stage, more than oneextranodal involvement, presence of B symptom, poor responseto initial therapy, higher IPI and shorter disease free and overallsurvival [76]. EBV and older age is an important relation and inrecent times and the nosological category of senile or age-relatedEBV (+) B-lymphoproliferative disorder has been proposed for thesepatients [76]. In non-GCB subtype, in multivariate analysis, it has

been determined that EBER-ISH positivity is significant in non-GCBDLBCL patients; OS is poorer in EBER (+) cases [51]. In our studygroup, EBV-LMP1 expression was found in 22% of the cases andwas associated with high LDH and EBV was found to be the mostimportant poor prognostic indicator and cases with EBV expressionhad the shortest survival times.

5.5. Cox-2

The association between chronic inflammation and cancer is avery old history proposed by Rudolf Virchow [6,14]. Cyclooxyge-nase is a key enzyme required for the conversion of arachidonicacid to prostaglandins and two isoforms of this enzyme have beenidentified. Cox-2 induction is very important in sites of inflam-mation and cancer and Cox-2 overexpression reduces apoptosis,increases the invasive capacity of malignant cells and angiogenesis.With these properties Cox-2 gene overexpression has a critical rolein carcinogenesis in many cancers [77–83]. Cox-2 overexpressionwas found to be a bad prognostic indicator. In some studies, Cox-2 has been found to be associated with shorter survival, but wasnot found to be related with all poor prognostic indicators. On theother hand, selective inhibition of Cox-2 has been found to be asso-ciated with response in a variety of cancers cells or cancer cell lines[32,33,71,84]. Cox-2 expression in hemopoietic neoplasms has beenstudied in relatively limited number of the cases [85]. Cox-2 expres-sion by immunohistochemistry has been studied in 52 cases withmalignant lymphoma, and has been detected in 57% of the NHL.Cox-2 expression has been found to be correlated with advancedstage and poor response to chemotherapy [86]. In our study, wefound Cox-2 expression in 72% of the cases and did not show a cor-relation with clinical parameters. OS times were shorter in Cox-2expressors but statistically non significant.

It is very well known that carcinogenesis is a complex andmultistep process. Lymphomagenesis is a complex process andsequential and/or combined events are necessary for the develop-ment/progression of the lymphomas. Angiogenesis is one of the firststeps in the development of neoplasias. Inflammation is anotherimportant regulator of the tumorigenesis. Viral factors generallyplay a cofactor role in this complicated cascade. The inhibitors ofapoptotic cell death are the important players. The interactionsbetween endothelium and tumor cells and microenvironment havevery important roles in the development of cancer and we are learn-ing more clearly their roles in these complex processes. There ismuch evidence on the cross talk between angiogenesis and viralcarcinogenesis [87]. LMP1 increases the VEGF production and someother angiogenic factors such as Cox-2, MMP-9, IL-8 and NFKB. EBVand VEGF (+) cases had higher rate of recurrence, node positivityand lower survival times [3,4,88,89]. So there are many interactionsbetween these players in every step.

The net results of these findings are not clear enough but tailoredtreatments according to the responsible factors will be more usefulin some subgroups of these patients. For this reason we would liketo see the role of different pathways in lymphomagenesis and stud-ied angiogenic, lymphangiogenic, anti-apoptotic, viral, endothelialand inflammatory mediators. We found an important associationbetween EBV and VEGF-A expression and EBV and VEGF-A positivecases showed the shortest survival. This finding suggests the impor-tant role of angiogenesis in the pathogenesis of DLBCL and EBVcontribution to lymphomagenesis. It has been shown that LMP1must be a major target for gene therapy [54]. On the other handangiogenesis inhibitors are able to inhibit tumor growth in mousemodels [2,3,90]. VEGF anti-sense is an anti-sense oligonucleotidethat targets VEGF, by inhibiting angiogenesis and tumor cell prolif-eration. These findings suggest the anti- LMP1 and anti-angiogenicdrugs will be novel therapeutic strategies for lymphomas as shownin other malignant tumors. Poor survival rates in cases with double

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VEGF-A and EBV expressors may suggest the importance of target-ing both the angiogenesis and EBV in the therapy of these caseswith unfavorable characteristics. Targeting both the angiogenesisand EBV may be important in the therapy of cases with NHL express-ing EBV and/or VEGF-A. For example drugs targeting angiogenesisand lymphangiogenesis may be more useful in such cases [44,91].

Survivin has been found to be associated with resistance tochemotherapy and/or radiation therapy, and associated with poorprognosis. Thus, inhibition of Survivin induces or enhances apopto-sis in tumor cells. It is known that some antitumor agents can reduceSurvivin expression. These findings suggest that Survivin may be apromising molecular target in DLBCL like other malignancies [6,16]Survivin is not expressed in normal tissues, for this reason it is anideal target for cancer therapy and Survivin antagonizing modalitieshave been developed. YM155, a small-molecule Survivin suppres-sant, and its efficacy has been shown in a phase II study. It wasproposed that these agents not only increase the objective responsewhen used with conventional chemotherapeutics, but also cir-cumvent drug resistance which is very important in malignantdiseases [19]. We found a significant association between Survivinand VEGF-A expression and this is compatible with the known asso-ciation between angiogenesis and inhibition of apoptosis.

This may suggest the better response in cases treated by thecombination of angiogenesis inhibitors and Survivin inhibitors.

Our results and literature data suggest that it is possible toincrease the therapeutic efficacy of conventional anti-neoplasticdrugs with the addition of anti-angiogenic, anti-inflammatory andanti-Survivin strategies. As an example in a multicenter phase IIstudy, low dose cyclophosphamide and high dose celecoxib havebeen successfully used in relapsed/refractory cases [92]. VEGFinhibitor bevacizumab has been used with R-CHOP and ORR andCR rates were found to be 85 and 38%, respectively [93].

6. Conclusion

(1) Anti-apoptotic factor Survivin and viral factor EBV positivitywere found to be associated with higher LDH.

(2) VEGF-A (+) cases showed higher B2M levels indicating highertumor burden.

(3) The correlation between angiogenic factor VEGF-A and inflam-mation marker Cox-2, and anti-apoptotic factor Survivin andlymphangiogenic factor VEGF-C suggest the crosstalk betweenangiogenic and inflammatory signals.

(4) EBV, VEGF-C and extranodal involvement were found to beindependent risk factors among all the biologic factors and clin-ical prognostic factors. This finding needs to be confirmed withlarger study groups. The shortest survival times were foundin EBV positive cases and this finding supports the prognosticvalue of EBV in DLBCL.

(5) Angiogenic/lymphangiogenic and anti-apoptotic signals areimportant in the pathogenesis of DLBCL. EBV related virallymphomagenesis is important biologic parameter in DLBCL.These findings suggest that different therapeutic approachesare needed for these cases.

Acknowledgement

We thank Terry Fox Foundation for support.

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