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Prognostic value of vascular mimicry in patients with urothelial carcinoma of the bladder after radical cystectomy

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Oncotarget. 2016; 7:76214-76223. https://doi.org/10.18632/oncotarget.12775

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Lin Zhou, Yuan Chang, Le Xu, Son Tung Nguyen Hoang, Zheng Liu, Qiang Fu, Zongming Lin _ and Jiejie Xu

Abstract

Lin Zhou1,*, Yuan Chang1,*, Le Xu2,*, Son Tung Nguyen Hoang1, Zheng Liu3, Qiang Fu3, Zongming Lin1, Jiejie Xu3

1Department of Urology, Zhongshan Hospital, Fudan University, Shanghai, China

2Department of Urology, Ruijin Hospital, School of Medicine, Shanghai Jiaotong University, Shanghai, China

3Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Fudan University, Shanghai, China

*These authors have contributed equally to this work

Correspondence to:

Zongming Lin, email: zongminglin@gmail.com

Jiejie Xu, email: jjxufdu@fudan.edu.cn

Keywords: vascular mimicry, bladder cancer, recurrence, radical cystectomy, adjuvant chemotherapy

Received: July 25, 2016    Accepted: October 04, 2016    Published: October 20, 2016

ABSTRACT

Vascular mimicry (VM) refers to the plasticity of aggressive cancer cells forming de novo vascular networks, which promoted tumor metastasis. The aim of this study was evaluate the impact of VM on recurrence-free survival (RFS) in urothelial carcinoma of the bladder (UCB). Records from 202 patients treated with radical cystectomy (RC) for UCB at Zhongshan Hospital between 2002 and 2014 were reviewed. The presence of VM was identified by CD31-PAS double staining. Positive VM staining occurred in 19.3% (39 of 202) UCB cases, and it was associated with increased risks of recurrence (Log-Rank p<0.001). VM was identified as an independent prognostic factor (p=0.002). In the cohort with MIBC, patients with VM negative got CSS benefit from the use of ACT (p = 0.048). As for lung metastasis, the combination of VM and TNM stage (AUC 0.792) showed a better prognostic value than TNM stage alone (AUC 0.748, p = 0.008) or VM alone (AUC 0.714, p = 0.023). Vascular mimicry could be a potential prognosticator for recurrence-free survival in patients with UCB after RC. Vascular mimicry seems to predict risk of developing lung metastases after RC. The presence of VM identified a subgroup of patients with MIBC who appeared to benefit from adjuvant chemotherapy.


Prognostic value of vascular mimicry in patients with urothelial carcinoma of the bladder after radical cystectomy | Zhou | Oncotarget

INTRODUCTION

Urothelial carcinoma of the bladder (UCB) is the 7th most prevalent type of cancer in male population worldwide [1]. Radical cystectomy (RC) radical cystectomy is the standard therapy for muscle invasive and high risk non-muscle invasive bladder cancer patients [2]. Cisplatin-based combination chemotherapy is considered conventional first-line regimens for advanced UCB [35]. However, cisplatin-based chemotherapy has a low effective rate of 30%–40% [6]. Recent researches show that cancer stem cells get massive proliferation by enhanced survival after chemotherapy [79].

Tumor vascular mimicry (VM) refers to the formation of microvascular channels by tumor cells [10]. Several studies have shown that fluid can be drainaged by the PAS-positive tubular structures [1113]. Further,Wang et al. [14] and Ricci-Vitiani et al. [15] provided powerful evidence that a part of the endothelial cells differentiated from cancer stem cells in the glioblastoma. In a study reported last year in Nature, Wagenblast et al. [16] discovered that Serpine2 and Slpi could stimulate the formation of VM and accelerate metastasis of breast cancer cells. A 2016 meta-analysis, which combined results from 36 studies on more than a dozen cancer types, estimated that patients’ chances of dying were roughly doubled if their tumors showed evidence of VM [17].

In the present study, we evaluated the VM in UCB patients who underwent RC and explored its relation with recurrence-free survival (RFS), especially in patients receiving adjuvant chemotherapy after surgery.

RESULTS

Association of VM with clinicopathological features

The relationship between VM and clinicopathological features was shown in Table 1. The mean age of patients was 61.7 (SD±11.3) years and the mean Charlson comorbidity index (CCI) was 2.1 (SD±1.6). Eighty-nine (44.3%) patients had recurrence and 39 patients (19.3%) had positive staining of VM (Figure 1). Among these patients, 27 (13.4%) patients with recurrence had positive VM staining, and 62 (30.8%) patients with recurrence did not have positive staining of VM. In addition, positive staining of VM was significantly associated with pathological grade, pathological stage and recurrence (p = 0.035, p = 0.01 and p<0.001 respectively; Table 1).

Table 1: Association of VM with clinical characteristics in patients treated by radical cystectomy for urothelial-cell carcinoma of the bladder

Patients

VM

Negative

Positive

p

Gender

0.243

Female

35(17.4%)

31(15.4%)

4(2.0%)

Male

166(82.6%)

131(65.2%)

35(17.4%)

Age (years)

61.65±11.28

61.17±11.56

63.64±9.91

0.263

CCI

2.13±1.61

2.10±1.65

2.28±1.41

0.307

Pathological grade

0.035

 PUNLMP+low grade

48(23.9%)

44(21.9%)

4(2.0%)

 High grade

153(76.1%)

118(58.7%)

35(17.4%)

Pathological stage

0.010

 Ta, Tis, T1

59(29.4%)

54(26.9%)

5(2.5%)

 T2

91(45.3%)

74(36.8%)

17(8.5%)

 T3

30(14.9%)

21(10.4%)

9(4.5%)

 T4

21(10.4%)

13(6.5%)

8(4.0%)

Carcinoma in situ

0.359

 Absent

193(96.0%)

154(76.6%)

39(19.4%)

 Present

8(4.0%)

8(4.0%)

0(0.0%)

LVI

0.074

 Absent

98(48.8%)

84(41.8%)

14(7.0%)

 Present

103(51.2%)

78(38.8%)

25(12.4%)

Lymph-node metastasis

0.105

 Absent

191(95.0%)

156(77.6%)

35(17.4%)

 Present

10(5.0%)

6(3.0%)

4(2.0%)

Necrosis

0.083

 Absent

132(65.7%)

111(55.2%)

21(10.4%)

 Present

69(34.3%)

51(25.4%)

18(9.0%)

Surgical margin

0.623

 Negative

194(96.5%)

157(78.1%)

37(18.4%)

 Positive

7(3.5%)

5(2.5%)

2(1.0%)

Multifocality

0.373

 Unifocal

152(77.2%)

124(62.9%)

28(14.2%)

 Multifocal

45(22.8%)

34(17.3%)

11(5.6%)

Tumor size, cm

0.287

 <3

66(32.8%)

56(27.9%)

10(5.0%)

 ≥3

135(67.2%)

106(52.7%)

29(14.4%)

Adjuvantchemotherapy

0.262

 No

119(59.2%)

99(49.3%)

20(10.0%)

 Yes

82(40.8%)

63(31.3%)

19(9.5%)

Recurrence

<0.001

Absent

112(55.7%)

100(49.8%)

12(6.0%)

Present

89(44.3%)

62(30.8%)

27(13.4%)

Abbreviation: VM, Vascular Mimicry; CCI, Charlson comorbidity index; LVI, lymphovascular invasion; PUNLMP, papillary urothelial neoplasm of low malignant potential;

Vascular mimicry in UCB tissues.

Figure 1: Vascular mimicry in UCB tissues. Brown arrows indicate CD31+ endothelial blood vessels and pink arrows show PAS+/CD31- channels A-B. Scale bars (black lines) = 16.0 um.

Subgroup analysis of the prognostic value of VM in UCB patients after RC

Patients with positive VM staining had a lower rate of RFS compared with those with negative VM staining (p < 0.001; Supplementary Figure S1). The subgroup analysis by pathological grade showed that positive staining of VM was significantly associated with RFS in patients with high grade (p < 0.001; Figure 2B). Stratified multivariate analyses also showed an independent predictive impact of VM in patients with high grade for RFS (HR = 2.197, 95% CI 1.332-3.622, p = 0.002, Figure 2C).

Subgroup analysis to assess prognostic value of VM by pathological grade and T stage.

Figure 2: Subgroup analysis to assess prognostic value of VM by pathological grade and T stage. Kaplan–Meier analysis of RFS in patients with PUNLMP+low grade A., and with high grade B. Kaplan–Meier analysis of RFS in patients with NMIBC D., and with MIBC E. Hazard ratios for RFS probabilities in patients with high grade C. and MIBC F.

In addition, the subgroup analysis by pT stage showed that positive staining of VM was significantly associated with RFS in NMIBC patients (p = 0.013; Figure 2D) and MIBC stage (p = 0.002; Figure 2E). Stratified multivariate analyses also showed an independent predictive impact of VM in patients with MIBC for RFS (HR = 1.971, 95% CI 1.178-3.299, p = 0.01, Figure 2F).

Association between postoperative adjuvant chemotherapy (ACT) and VM

Recent researches show that cancer stem cells get massive proliferation by enhanced survival after chemotherapy [79]. Wang et al. [14] and Ricci-Vitiani et al. [15] provided powerful evidence that a part of the endothelial cells differentiated from cancer stem cells in the glioblastoma. Therefore, we evaluated the benefit of platinum-based chemotherapy according to the presence of VM in patients who received postsurgical adjuvant chemotherapy. In the overall cohort, chemotherapy did not benefit patients regardless of VM status (Supplementary Figure S2). In the cohort with MIBC, patients with VM negative got CSS benefit from the use of ACT (p = 0.048) (Figure 3B).

Relationship between VM and Benefit from Adjuvant Chemotherapy.

Figure 3: Relationship between VM and Benefit from Adjuvant Chemotherapy. Kaplan–Meier analysis of CSS in patients with VM positive A., and with VM negative B. Kaplan–Meier analysis of OS in patients VM positive C., and with VM negative D.

Prediction of pulmonary metastasis

The lung is one of the most common sites of distant metastasis from bladder cancer. [18] Some studies have shown that diagnosis of asymptomatic lung metastases of UCB increased survival rates [19, 20]. As for lung metastasis, the combination of VM and TNM stage (AUC 0.792) had a higher prognostic value compared with TNM stage alone (AUC 0.748, p = 0.008) or VM alone (AUC 0.714, p = 0.023) (Figure 4A). Recently, Wagenblast et al. [16] discovered that Serpine2 and Slpi could stimulate the formation of VM and accelerate metastasis of breast cancer cells. These two proteins were overexpressed preferentially in human patients that had lung-metastatic relapse. A recent study also implicated Serpins, including SERPIND1, in metastasis of breast cancer to the brain [21]. Based on TCGA data [22], we found that SERPIND1 (log2 fold change=1.97, p=0.028) and SERPINA1 (log2 fold change=1.32, p=0.014) were significantly upregulated in the group of UCB with lung metastasis compared with UCB without lung metastasis (Figure 4B).

ROC analysis for the prediction of lung metastases

Figure 4: ROC analysis for the prediction of lung metastases A. The difference analysis for serpin family between UCB with lung metastasis and UCB without lung metastasis B.

Construction and validation of prognostic nomogram for RFS

According to multivariate analysis of RFS, we built a nomogram model to predict RFS at 2, 5 and 8 years after RC (Table 2 and Figure 5). The calibration plots for our nomogram model are shown for predictions of 2-year RFS (Figure 5). In the overall cohort, the Harrell’s C-index of the our nomogram was a slightly but insignificantly higher than that of BCRC nomogram [23] (0.678 vs. 0.642, p = 0.172). Similarly, the Harrell’s C-index of our nomogram was slightly higher than that of BCRC nomogram among the patients with MIBC (0.666 vs. 0.617) and patients with high pathological grade (0.650 vs. 0.639) (Table 3).

Table 2: Univariate and multivariate Cox analysis of predictive factors of RFS

Univariate analysis

Multivariate analysis

HR

95% CI

p

HR

95% CI

p

Gender

0.978

Female

1

Male

1.008

0.569-1.784

Age (continuous)

1.012

0.994-1.030

0.211

CCI (continuous)

1.052

0.938-1.181

0.387

Pathological grade

0.002

0.055

PUNLMP+low grade

1

1

High grade

2.550

1.413-4.601

1.840

0.986-3.434

Pathological stage

Ta/Tis/T1

1

1

T2

1.532

0.897-2.615

0.118

1.058

0.595-1.881

0.847

T3

2.033

1.040-3.975

0.038

1.059

0.495-2.265

0.883

T4

2.850

1.416-5.735

0.003

1.627

0.756-3.499

0.213

VM

<0.001

0.002

Absent

1

1

Present

2.516

1.599-3.959

2.156

1.325-3.510

Carcinoma in situ

0.613

Absent

1

Present

0.743

0.235-2.351

LVI

0.011

0.279

Absent

1

1

Present

1.738

1.137-2.655

1.307

0.805-2.123

Necrosis

0.021

0.351

Absent

1

1

Present

1.651

1.080-2.524

1.251

0.781-2.003

Squamous differentiation

0.777

Absent

1

Present

0.878

0.356-2.166

Surgical margin

0.336

Negative

1

Positive

1.588

0.582-4.335

Lymph-node metastasis

0.003

0.094

Absent

1

1

Present

2.978

1.433-6.189

1.953

0.892-4.277

Multifocality

0.774

Unifocal

1

Multifocal

1.076

0.653-1.774

Tumor size, cm

0.913

<3

1

≥3

1.025

0.658-1.597

Abbreviation: VM, vascular Mimicry; LVI, lymphovascular invasion; CCI, Charlson comorbidity index.

Nomogram for predicting RFS of UCB patients after RC.

Figure 5: Nomogram for predicting RFS of UCB patients after RC. Nomogram to predict RFS at 2, 5 and 8 years after RC (left). The calibration plots for predicting RFS at 2 years (right).

Table 3: Prognostication comparison of built-up nomogram and BCRC nomogram

No. of patients

C-index

AIC

Nomogram

BCRC nomogram

p

Nomogram

BCRC nomogram

Overall

202

0.678

0.642

0.172

853.9

863.0

MIBC

142

0.666

0.617

0.223

612.9

621.7

High pathological grade

154

0.650

0.639

0.694

688.1

692.9

Abbreviation: C-index, concordance index; AIC, Akaike’s information criterion; MIBC, muscle invasive bladder cancer.

DISCUSSION

Although several anti-angiogenic agents have received U.S. approval for use in cancer patients, including Avastin and Nexavar, they only temporarily slow tumor growth; the tumors often become resistant. The evidence now suggests that vascular mimicry is one of the ways in which tumors develop a blood supply independently from classical angiogenesis [24]. The inner wall of VM consists of laminin, collagens, and heparin sulfate proteoglycans [10, 25]. Several studies provided strong evidence that fluid could be drainaged along the PAS-positive tubular structures that were surrounded by tumor cells [1113]. Vascular mimicry may also promote metastasis, the migration of tumor cells to new parts of the body, which is responsible for most cancer deaths. The process of VM is controlled by complex signaling pathways including cancer stem cell, hypoxia, and angiogenesis related pathways [26]. These signaling pathways may be tractable as potential therapeutic targets and be good indicators for metastatic potential.

Our research mainly focused on the effect of VM on RFS in a large cohort of UCB patients (n=202) after RC. We found that positive rate of VM was 19.4% and in multivariate analysis VM resulted an independent risk predictor of RFS. Stratified Analysis showed that VM could help refine the risk stratification in the pathological grade or pathological T stage. Furthermore, our nomogram model slightly improved outcome prognosis than BCRC nomogram in patients with MIBC or high pathological grade. Therefore, our results indicated that VM could stimulate metastasis of UCB.

The most favorite sites of UCB metastasis are to lymph nodes, lungs, liver and bone [18]. Some studies have shown that diagnosis of asymptomatic lung metastases of UCB increased survival rates. [19, 20] The presence of VM may play an important regulating role in the metastasis of UCB, and may be used as a marker for predicting the potential metastasis. As for lung metastasis, the combination of VM and TNM stage (AUC 0.792) had a higher forecast precision compared with TNM stage alone or VM alone. As far as we know, currently there is no useful predictive tool for predicting lung metastasis of UCB.

More importantly, in the cohort with MIBC, patients with VM negative got CSS benefit from the use of ACT. This will be useful for better selection and management of patients who would receive ACT. According to the cancer stem cell (CSC) theory, at an early stage of systematic chemotherapy the majority of bladder non-CSCs are killed. However, a small proportion of bladder CSCs is selectively enriched by enhanced survival after chemotherapy, which results in local recurrence and distant metastasis [79].

The signaling pathways underlying VM offer new targets for tumor cell’s stemness associated with metastasis and drug resistance. CVM-1118, a derivative of a plant compound, to curb the activity of Nodal, a gene that drives VM by making cancer cells more like stem cells [27]. In this year a phase I clinical trials was started to evaluate the safety of CVM-1118 in people with a variety of untreatable cancers and to assess its effectiveness [24].

Our study is limited by its retrospective design and the small sample sizes, which requires a multicenter, prospective study to validate. Given the heterogeneous nature of UCB and the population of our study, our conclusion might be overestimated and non-comprehensive due to these factors.

CONCLUSION

Vascular mimicry could be a useful predictor of recurrence-free survival in UCB patients after RC. Vascular mimicry seems to predict risk of developing lung metastases after RC. The presence of VM identified a subgroup of MIBC patients who appeared to get benefit from adjuvant chemotherapy.

PATIENTS AND METHODS

Study population

This study was approved by the Clinical Research Ethics Committee of Zhongshan Hospital (Fudan University, Shanghai, China) and written informed consent was obtained from each patient. Records from 202 patients treated with RC for UCB at Zhongshan Hospital between 2002 and 2014 were reviewed and merged into a computerized database. Pathologic data included histologic type, tumor grade according to the 2004 World Health Organization classification [28], tumor and nodal stage according to the 2009 TNM classification [29], size of tumor, number of tumor, the presence of lymphovascular invasion (LVI), tumor necrosis, squamous differentiation and surgical margin status. A positive surgical margin was defined as the presence of tumor at the bladder and urethral and/or ureteral margin. LVI was determined according to the presence of carcinoma cells within an endothelium space. Patients whose chemotherapy regimen was recorded received platinum-based treatment. No patient had distant metastatic disease at the time of cystectomy. Recurrence-free survival (RFS) was defined as time from date of RC to local and/or metastatic recurrence, based on histologic or radiologic evidence. We calculated overall survival (OS) from the date of RC to the date of death from all causes. The cancer-specific survival (CSS) was defined as the interval from the date of RC to the date of death from UCB. During the entire study period, the follow-up protocol comprised history, physical examination, urine cytology, and laboratory measurements every 3–4 month in the first year, semi-annually in the second year, and annually thereafter. The follow-up period ended in June 2016.

CD31-PAS double staining

Microarray development and immunohistochemistry were performed according to the methods previously applied [30]. Brifely, the slides were dewaxed in xylene and graded alcohols, hydrated, and washed in phosphate-buffered saline. After the endogenous peroxidase was inhibited by 3% H2O2 for 30 minutes, the slides were pretreated in a pressure cooker (3 minutes in sodium citrate buffer; pH = 6) and then incubated with 10% normal goat serum for 30 minutes. After overnight incubation at 4 °C with primary antibodies (anti-CD 31 antibody, Code M0823, Dako, diluted 1/40), the slides were incubated with the secondary antibodies for 30 min. Reaction products were visualized by incubation with 3,3′-diaminobenzidine. The slides were then stained with Periodic Acid-Schiff (PAS) Kit (Sigma) according to manufacturer’s instructions. PAS staining, haematoxylin and eosin staining, and CD31 immunohistochemistry were used to evaluate the presence and extent of mimicry as previously described [4, 13, 14]. Samples of UCB with high expression of VM formation served as the positive control. Negative control sections were treated with normal non-immune IgG instead of the primary antibody. Small vessel-like structures in the tumor that were PAS-positive but CD31-negative were presumed to be VM channels particularly if they contained red blood cells. All quantification was performed in a blinded setting.

Statistical analysis

The chi-square test or Fisher exact was used for categorical variables, and the t-test or Wilcoxon rank-sum test for continuous variables. Kaplan-Meier analysis was used to determine RFS. Log-rank test was used to compare survival between subgroups. The Cox proportional hazards regression model was applied to perform univariate and multivariate analyses, and those parameters that demonstrated a statistically significant effect on RFS in the univariate analysis were included in the multivariate analysis. Harrell’s index of concordance (C-index) and Akaike information criterion (AIC) were calculated to compare the accuracy of the prognostic model models, while Hanley-McNeil test was used to compare between C index [31, 32]. Statistical analyses were performed with SPSS, version 20.0 (IBM, Armonk, NY), Stata SE, version 13.0 (Stata, College Station, TX) and R software packages, version 3.1.2 (The R Foundation for Statistical Computing, http://www.r-project.org/). A two-sided p value of less than 0.05 was considered to be statistically significant for all reports.

CONFLICTS OF INTEREST

The authors declare no conflict of interest.

FUNDING/SUPPORT AND ROLE OF THE SPONSOR

This study was funded by grants from National Key Projects for Infectious Diseases of China (2012ZX10002012-007, 2016ZX10002018-008), National Natural Science Foundation of China (31100629, 31270863, 81372755, 31470794, 81401988, 81402082, 81402085, 81471621, 81472227, 81472376, 31570803, 81501999 and 81572352) and Program for New Century Excellent Talents in University (NCET-13-0146). All these study sponsors have no roles in the study design, in the collection, analysis, and interpretation of data.

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