Abstract
Purpose: Urothelial carcinoma (UC) is a type of tumor, especially of the urinary bladder, that affects people worldwide. Clarification of its detailed tumor biology and discovery of potential targets for developing treatment strategies are imperative because of frequent recurrences and poor prognosis of advanced UCs. By data mining a published dataset of UC of bladder (UCB) transcriptome (GSE31684) from Gene Expression Omnibus, National Center of Biotechnology Information (GEO, NCBI), we identified that THBS2 was the most significantly upregulated gene among those related to structural molecule activity (GO:0005198). Therefore, we evaluated the clinical significance and prognostic impact of thrombospondin-2 (THBS2) protein, A.K.A. TSP2, which encoded by THBS2 gene.
Materials and Methods: THBS2 immunostaining was performed in 340 UCs of upper urinary tract (UC-UUTs) and 295 UCBs; subsequently, both groups were dichotomized into high- and low-expression subgroups. Moreover, statistical analyses were performed to correlate the association between THBS2 expression and clinicopathological parameters with two survival indexes: disease-specific survival (DSS) and metastasis-free survival (MeFS).
Results: High THBS2 immunoexpression was significantly associated with advanced primary tumor status, nodal metastasis, and vascular invasion in both UC-UUT and UCB groups (all P ≤ .001). In addition, THBS2 overexpression was linked to adverse DSS and MeFS in univariate analyses and served as an independent prognosticator indicating poor outcomes in both groups in multivariate analyses.
Conclusion: THBS2 may play a crucial role in UC progression and may be a novel prognostic marker. Additional investigations to elucidate the molecular pathway are necessary for developing potential THBS2-targeted therapies for UCs.
Keywords: prognosis, THBS2, thrombospondin-2, TSP2, urothelial carcinoma.
Introduction
Urothelial carcinoma (UC), also known as transitional cell carcinoma, is the most common histological type of urinary system malignancy, especially in developed countries 1. UC arises from the urothelium of the entire urinary tract, from the renal pelvis and ureter to the urinary bladder and urethra. The renal pelvis and ureter constitute the upper urinary tract (UUT), and the urinary bladder and urethra constitute the lower urinary tract (LUT). In contrast to UC of the bladder (UCB), the ninth most common malignancy 2, UC of the upper urinary tract (UC-UUT) is relatively uncommon and accounts for only 5%-10% of all UCs 3. Although all UCs share some identical carcinogens, such as cigarette smoking and occupational exposure to aromatic amines 4-6, some diseases have a closer relationship with UC-UUT. For example, patients with Chinese herb nephropathy, endemic Balkans nephropathy, and analgesic nephropathy are more susceptible to UC-UUT than UCB 7-10. Notably, UC-UUT is prevalent in Taiwan, especially in the endemic areas of blackfoot disease, which is caused by arsenic-contaminated water 11-13. In addition, the gene expression profiles of both UC-UUT and UCB are similar 14 and their clinical behaviors are alike after balancing the stage and grade 15. These evidences indicate that the carcinogenesis of UCs along the entire urinary tract may have, at least partly, a similar molecular pathway.
Structural proteins are those forming cellular ultrastructures and include fibrous proteins, globular proteins, motor proteins, and some subsets of membrane proteins. They contribute to extracellular matrix and cytoskeleton formation, cellular motility, and cell-cell adhesion 16. Alterations of these proteins are crucial in the development of tumor invasion and metastasis in oncogenesis 17-19. However, genes associated with structural molecules have not been systemically evaluated in UCs. By data mining a published dataset of UCB transcriptome (GSE31684) from Gene Expression Omnibus, National Center of Biotechnology Information (GEO, NCBI, Bethesda, MD, USA), we identified that THBS2 was the most significantly upregulated gene among those related to structural molecule activity (GO:0005198). THBS2 gene encodes thrombospondin-2 (THBS2, also known as TSP2). THBS2 is a disulfide-linked glycoprotein that mediates extracellular matrix assembly, cell-to-matrix interactions, degradation of matrix metalloproteinase (MMP)-2 and MMP-9, and inhibition of angiogenesis 20. The expression of THBS2 and its prognostic value have been investigated in several cancers 21-28. Nevertheless, to the best of our knowledge, no study has researched the expression of THBS2 in UCs. Hence, we focused on THBS2 as the target for the experiment detailed in the subsequent section.
Materials and Methods
Data Mining of Transcriptomic Database from GEO to Identify the Most Altered Gene
A transcriptomic dataset (GSE31684), comprising 93 radically resected UCB cases from GEO, NCBI, was selected for research; of these, 78 belonged to muscle-invasive tumors (pT2 to pT4) and 15 to non-muscle-invasive (pTa and pT1); 28 exhibited distant metastasis whereas 49 did not 29. In this data set, GeneChip® Human Genome U133 Plus 2.0 array (Affymetrix, Santa Clara, CA, USA) was used for analysis. After downloading the raw data, Nexus Expression 3 statistical software (BioDiscovery, El Segundo, CA, USA) was used to analyze all probe sets without filtering or preselection. Moreover, under supervision, we inspected the statistical significance of each transcript by comparing the primary tumor invasiveness and the presence or absence of metastatic diseases. We performed functional profiling by using transcriptomes of muscle-infiltrative UCBs (pT2 to pT4) with metastases and those of non-muscle-infiltrative UCBs (pTa and pT1) without metastasis, targeting the transcriptomes associated with structural molecule activity (GO:0005198). Only genes showing significantly differential expression (P < .01) were enrolled.
Study Cohort of Patients and Specimens
The study was approved by the Institutional Review Board of Chi-Mei Medical Center (10501005) and E-Da Hospital (EMRP-104-119). Our well-characterized study cohort comprised 635 consecutive patients with surgically resected UCs from 1996 to 2004 and included 295 patients with UCBs and 340 with UTT-UCs. Histopathological classifications other than UC and variants of UC were excluded. The criteria for inclusion and exclusion and treatment protocols were the same as previously described 30.
Immunohistochemistry and Assessment
Tissue sections were subjected to the routine procedures of deparaffinization, rehydration, and epitope retrieval and were subsequently incubated with an antibody against THBS2 (1:50, Rabbit polyclonal, Novus Biologicals, Littleton, CO, USA) for 1 hour. XXXX tissues with or without incubation of THBS2 antibody were run in parallel as positive and negative control, respectively. We used the H score method to evaluate the expression of THBS2 protein, which combines the intensity and percentage of immunostaining in the tumor cells to create an H score. The equation for assessing the H score is as follows: H score = ΣPi(i + 1), where Pi represents the percentage of stained tumor cells (0%-100%) and i represents the intensity of immunoreactivity (0-3+). This formula yields a score in the range 100-400, where 100 signifies that 100% of the cancer cells are unreactive and 400 signifies that 100% of the cancer cells are strongly immunoreactive (3+).
Statistical Analyses
We used SPSS Version 14.0 (SPSS Inc., Chicago, IL, USA) for statistical analysis. The median H score of THBS2 immunoreactivity was applied as the cut-off value to classify our patient cohort into high- and low-expression subgroups for both the UC-UUT and UCB groups, respectively. We applied Pearson's chi-squared test to compare the association between THBS2 expression and miscellaneous critical categorical clinical and pathological parameters and Mann-Whitney U test for numerical parameters. Two prognostic indices, disease-specific survival (DSS) and metastasis-free survival (MeFS) intervals, were determined from the day of surgical excision to the day patient death or occurrence of metastatic disease. Patients lost to follow-up were excluded from the latest follow-up date. For univariate survival analyses, Kaplan-Meier survival curves, with comparison by using log-rank test, were utilized. Parameters demonstrating P < .05 in univariate analyses were included in multivariate tests by using Cox proportional hazards regression. For all statistical analyses, we used two-tailed tests of significance, and only P < .05 was judged to be statistically significant.
Results
THBS2 as the Most Upregulated Gene among Those Belonging to Structural Molecule Activity (GO:0005198)
The gene expression profiling is presented in Fig. 1. By analyzing the published transcriptomic database of UCB (GSE31684) from GEO, 15 probes covering 13 genes related to structural molecule activity (GO:0005198) showed highly significant alteration (P < .01), either upregulation or downregulation, associated with a more aggressive disease. When comparing muscle-infiltrative tumors (pT2 to pT4) to non-muscle-infiltrative tumors (pTa and pT1) and the presence to absence of distant metastasis, 11 genes, i.e., THBS2, COL6A2, COL3A1, MAP1B, COL16A1, ACTA2, EPB41L3, TUBB2B, COL8A2, COL18A1, and PDZD2, were upregulated to statistical significance (Table 1, all P < .01). Among them, THBS2 was the most significantly upregulated gene with 2.2182-fold log2 ratio by comparison between more advanced primary tumors (pT2-4) and less advanced ones (pTa and pT1).
Table 1.
Probe | Comparing T2-4 to Ta-T1 | Comparing Meta. to Non-Meta.# | Gene Symbol | Biological Process | Molecular Function | ||
---|---|---|---|---|---|---|---|
log ratio | p-value | log ratio | p-value | ||||
203083_at | 2.2182 | <0.0001 | 0.9344 | 0.003 | THBS2 | cell adhesion | calcium ion binding, heparin binding, protein binding, structural molecule activity |
209156_s_at | 2.1304 | <0.0001 | 0.9732 | 0.0021 | COL6A2 | cell adhesion, cell-cell adhesion, extracellular matrix organization and biogenesis, phosphate transport | extracellular matrix structural constituent, protein binding, protein binding; bridging, structural molecule activity |
215076_s_at | 1.4494 | <0.0001 | 0.5177 | 0.0031 | COL3A1 | circulation, organ morphogenesis, phosphate transport | extracellular matrix structural constituent, structural molecule activity |
226084_at | 1.2832 | <0.0001 | 0.9436 | <0.0001 | MAP1B | dendrite development, microtubule bundle formation | protein binding, structural molecule activity |
204345_at | 1.274 | <0.0001 | 0.5661 | 0.001 | COL16A1 | cell adhesion, female pregnancy, integrin-mediated signaling pathway, phosphate transport | integrin binding, protein binding, structural molecule activity |
200974_at | 1.2155 | 0.0002 | 0.6759 | 0.0087 | ACTA2 | ATP binding, nucleotide binding, protein binding, structural molecule activity | |
212681_at | 1.0972 | 0.0001 | 1.2658 | <0.0001 | EPB41L3 | cortical actin cytoskeleton organization and biogenesis | actin binding, binding, cytoskeletal protein binding, protein binding, structural molecule activity |
214023_x_at | 0.9093 | 0.0018 | 0.9548 | <0.0001 | TUBB2B | microtubule-based movement, microtubule-based process, protein polymerization | GTP binding, GTPase activity, nucleotide binding, protein binding, structural constituent of cytoskeleton, structural molecule activity |
221900_at | 0.8558 | <0.0001 | 0.3936 | 0.0014 | COL8A2 | cell adhesion, cell-cell adhesion, extracellular matrix organization and biogenesis, phosphate transport | extracellular matrix structural constituent, protein binding, protein binding; bridging, structural molecule activity |
213290_at | 0.832 | 0.0002 | 0.5142 | 0.004 | COL6A2 | cell adhesion, cell-cell adhesion, extracellular matrix organization and biogenesis, phosphate transport | extracellular matrix structural constituent, protein binding, protein binding; bridging, structural molecule activity |
209082_s_at | 0.6536 | 0.0015 | 0.4516 | 0.0042 | COL18A1 | angiogenesis, cell adhesion, endothelial cell morphogenesis, extracellular matrix organization and biogenesis, negative regulation of cell proliferation, organ morphogenesis, phosphate transport, positive regulation of apoptosis, positive regulation of cell migration, positive regulation of cell proliferation, visual perception | extracellular matrix structural constituent, metal ion binding, protein binding, structural molecule activity, zinc ion binding |
209493_at | 0.4147 | 0.0095 | 0.436 | 0.0003 | PDZD2 | cell adhesion | protein binding, structural molecule activity |
214577_at | 0.3773 | 0.0029 | 0.3943 | <0.0001 | MAP1B | dendrite development, microtubule bundle formation | protein binding, structural molecule activity |
#, Meta., distal metastasis developed during follow-up; Non-Meta.: no metastatic event developed.
Clinical and Pathological Characteristics of Both UC-UUT and UCB Groups
As shown in Table 2, there was a male predominance (n = 216, 73.2%) in the UCB group, in contrast to the lack of a gender predominance in the UC-UUT group (M/F, 46.5%/53.5%). In both groups, most patients were elderly (mean age >65 y). Sixty-two of the 340 patients (18.2%) with UC-UUT had multiple tumors; among them, 49 patients had synchronous tumors in both the renal pelvis and ureter. Most patients had muscle-infiltrating tumors (pT2-4, 46.8% and 41.7% for UC-UUT and UCB groups, respectively). Similarly, most tumors were classified as having a high histopathological grade (83.5% and 81% for UC-UUT and UCB groups, respectively). Furthermore, 8.2% (n = 28) and 9.8% (n = 29) of the patients with UC-UUT and UCB, respectively, had lymph node metastasis at diagnosis. Vascular invasion and perineural invasion were identified in 31.1% (n = 106) and 5.6% (n = 19) UC-UUTs as well as in 16.6% (n = 49) and 6.8% (n = 20) UCBs.
Table 2.
Parameter | Category | Upper Urinary Tract Urothelial Carcinoma | Urinary Bladder Urothelial Carcinoma | ||||||
---|---|---|---|---|---|---|---|---|---|
Case No. | THBS2 Expression | p-value | Case No. | THBS2 Expression | p-value | ||||
Low | High | Low | High | ||||||
Gender& | Male | 158 | 75 | 83 | 0.384 | 216 | 110 | 106 | 0.534 |
Female | 182 | 95 | 87 | 79 | 37 | 42 | |||
Age (years)# | 340 | 65.94+/-10.01 | 65.22+/-9.69 | 0.214 | 295 | 66.04+/-12.67 | 66.05+/-11.78 | 0.704 | |
Tumor location& | Renal pelvis | 141 | 70 | 71 | 0.685 | - | - | - | - |
Ureter | 150 | 78 | 72 | - | - | - | - | ||
Renal pelvis & ureter | 49 | 22 | 27 | - | - | - | - | ||
Multifocality& | Single | 278 | 142 | 136 | 0.339 | - | - | - | - |
Multifocal | 62 | 28 | 34 | - | - | - | - | ||
Primary tumor (pT) & | pTa | 89 | 63 | 26 | <0.001* | 84 | 68 | 16 | <0.001* |
pT1 | 92 | 50 | 42 | 88 | 46 | 42 | |||
pT2-pT4 | 159 | 57 | 102 | 123 | 33 | 90 | |||
Nodal metastasis& | Negative (pN0) | 312 | 163 | 149 | <0.001* | 266 | 141 | 125 | 0.001* |
Positive (pN1-pN3) | 28 | 7 | 21 | 29 | 6 | 23 | |||
Histological grade & | Low grade | 56 | 34 | 22 | 0.079 | 56 | 44 | 12 | 0.001* |
High grade | 284 | 136 | 148 | 239 | 103 | 136 | |||
Vascular invasion& | Absent | 234 | 132 | 102 | <0.001* | 246 | 134 | 112 | <0.001* |
Present | 106 | 38 | 68 | 49 | 13 | 36 | |||
Perineural invasion& | Absent | 321 | 166 | 155 | 0.009* | 275 | 141 | 134 | 0.066 |
Present | 19 | 4 | 15 | 20 | 6 | 14 | |||
Mitotic rate (per 10 high power fields)# | 340 | 11.59+/-12.31 | 13.02+/-12.24 | 0.072 | 295 | 12.10+/-14.67 | 16.70+/-13.03 | <0.001* |
&, Chi-Square test; #, Mann-Whitney U test; * Statistically significant.
Association Between THBS2 Immunoreactivity and Critical Clinical and Pathological Parameters
Table 2 shows that high THBS2 expression was significantly associated with a more advanced primary tumor status (pT status, Fig. 2), lymph node metastasis at diagnosis, and vascular invasion in both UC-UUT and UCB groups (all P ≤ .001). THBS2 overexpression was significantly associated with perineural invasion in UC-UUTs (P = .009) as well as a high histological grade and higher mitotic activity in UCBs (both P ≤ .001).
Survival Analyses for UC-UUT and UCB Groups
The survival analyses are summarized in Table 3and Table 4. In univariate analysis, advanced primary tumor status (pT), nodal metastatic disease, high histopathological grade, and vascular and perineural invasions were significantly associated with shorter DSS and MeFS intervals in both UC-UUT and UCB groups (all P < .05). Multifocal tumors were significantly linked to both worse DSS (P = .0042) and MeFS (P = .0196), whereas tumor location was negatively associated with DSS (P = .0120) only in the UC-UUT group. High mitotic activity (more than 10 mitoses per 10 high power fields) significantly correlated with both shorter DSS (P = .0001) and MeFS (P = .0002) intervals in the UCB group.In multivariate analysis of the UC-UUT group, multifocal tumors, nodal metastasis, high histological grade, and perineural invasion were predictive of both adverse DSS and MeFS (all P < .05). Higher pT status and vascular invasion were independent prognosticators for only DSS and MeFS, respectively (both P < .05). Multivariate analysis for UCB group indicated that advanced tumor status was an independent prognostic factor for both adverse DSS and MeFS (P < .001 and P = .023, respectively). Perineural invasion and high mitotic rate only predicted dismal DSS (P = .009 and P = .037, respectively), whereas lymph node metastasis only predicted unfavorable MeFS (P = .021).
Table 3.
Parameter | Category | Case No. | Disease-specific Survival | Metastasis-free Survival | ||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
Univariate analysis | Multivariate analysis | Univariate analysis | Multivariate analysis | |||||||||
No. of event | p-value | R.R. | 95% C.I. | p-value | No. of event | p-value | R.R. | 95% C.I. | p-value | |||
Gender | Male | 158 | 28 | 0.9301 | - | - | - | 32 | 0.7904 | - | - | - |
Female | 182 | 33 | - | - | - | 38 | - | - | - | |||
Age (years) | < 65 | 138 | 26 | 0.8660 | - | - | - | 30 | 0.8470 | - | - | - |
≥ 65 | 202 | 35 | - | - | - | 40 | - | - | - | |||
Tumor side | Right | 177 | 34 | 0.7188 | - | - | - | 38 | 0.3074 | - | - | - |
Left | 154 | 26 | - | - | - | 32 | - | - | - | |||
Bilateral | 9 | 1 | - | - | - | 0 | - | - | - | |||
Tumor location | Renal pelvis | 141 | 24 | 0.0120* | 1 | - | 0.976 | 31 | 0.0659 | - | - | - |
Ureter | 150 | 22 | 0.940 | 0.500-1.767 | 25 | - | - | - | ||||
Renal pelvis & ureter | 49 | 15 | 1.140 | 0.319-4.074 | 14 | - | - | |||||
Multifocality | Single | 273 | 48 | 0.0042* | 1 | - | 0.012* | 52 | 0.0196* | 1 | - | 0.006* |
Multifocal | 62 | 18 | 2.729 | 1.247-5.973 | 18 | 2.175 | 1.254-3.773 | |||||
Primary tumor (pT) | pTa | 89 | 2 | <0.0001* | 1 | - | 0.040* | 4 | <0.0001* | 1 | - | 0.228 |
pT1 | 92 | 9 | 3.086 | 0.656-14.514 | 15 | 2.712 | 0.877-8.383 | |||||
pT2-pT4 | 159 | 50 | 4.580 | 1.003-20.919 | 51 | 2.479 | 0.770-7.976 | |||||
Nodal metastasis | Negative (pN0) | 312 | 42 | <0.0001* | 1 | - | <0.001* | 55 | <0.0001* | 1 | - | 0.002* |
Positive (pN1-pN3) | 28 | 19 | 4.935 | 2.681-9.085 | 15 | 2.623 | 1.578-4.847 | |||||
Histological grade | Low grade | 56 | 4 | 0.0171* | 1 | - | 0.026* | 3 | 0.0019* | 1 | - | 0.126* |
High grade | 284 | 57 | 3.099 | 1.144-8.395 | 67 | 2.862 | 1.420-11.425 | |||||
Vascular invasion | Absent | 234 | 24 | <0.0001* | 1 | - | 0.084 | 26 | <0.0001* | 1 | - | 0.001* |
Present | 106 | 37 | 1.691 | 0.932-3.068 | 44 | 2.643 | 1.456-4.130 | |||||
Perineural invasion | Absent | 321 | 50 | <0.0001* | 1 | - | 0.001* | 61 | <0.0001* | 1 | - | 0.029* |
Present | 19 | 11 | 3.375 | 1.608-7.084 | -- | 9 | 2.282 | 1.089-4.784 | ||||
Mitotic rate (per 10 high power fields) | < 10 | 173 | 27 | 0.1268 | - | - | - | 30 | 0.0581 | - | - | - |
>= 10 | 167 | 34 | - | - | - | 40 | - | - | - | |||
THBS2 expression | Low | 170 | 14 | <0.0001* | 1 | - | 0.017* | 17 | <0.0001* | 1 | - | 0.002* |
High | 170 | 47 | 2.133 | 1.146-3.969 | 53 | 2.471 | 1.401-4.357 |
* Statistically significant.
Table 4.
Parameter | Category | Case No. | Disease-specific Survival | Metastasis-free Survival | ||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
Univariate analysis | Multivariate analysis | Univariate analysis | Multivariate analysis | |||||||||
No. of event | p-value | R.R. | 95% C.I. | p-value | No. of event | p-value | R.R. | 95% C.I. | p-value | |||
Gender | Male | 216 | 41 | 0.4906 | - | - | - | 61 | 0.2745 | - | - | - |
Female | 79 | 11 | - | - | - | 16 | - | - | - | |||
Age (years) | < 65 | 121 | 17 | 0.1315 | - | - | - | 32 | 0.8786 | - | - | - |
≥ 65 | 174 | 35 | - | - | - | 45 | ||||||
Primary tumor (pT) | pTa | 84 | 1 | <0.0001* | 1 | - | <0.001* | 4 | <0.0001* | 1 | - | 0.023* |
pT1 | 88 | 9 | 4.203 | 0.463-38.147 | 23 | 3.326 | 0.998-11.080 | |||||
pT2-pT4 | 123 | 42 | 18.697 | 2.142-163.230 | 50 | 5.159 | 1.528-17.418 | |||||
Nodal metastasis | Negative (pN0) | 266 | 41 | 0.0001* | 1 | - | 0.550 | 61 | <0.0001* | 1 | - | 0.021* |
Positive (pN1-pN3) | 29 | 11 | 1.242 | 0.610-2.530 | 16 | 2.050 | 1.114-3.773 | |||||
Histological grade | Low grade | 56 | 2 | 0.0016* | 1 | - | 0.854 | 5 | 0.0007* | 1 | - | 0.924 |
High grade | 239 | 50 | 1.158 | 0.243-5.518 | 72 | 1.052 | 0.367-3.015 | |||||
Vascular invasion | Absent | 246 | 37 | 0.0010* | 1 | - | 0.181 | 54 | <0.0001* | 1 | - | 0.665 |
Present | 49 | 15 | 0.629 | 0.319-1.240 | 23 | 1.141 | 0.630-2.063 | |||||
Perineural invasion | Absent | 275 | 44 | <0.0001* | 1 | - | 0.009* | 67 | 0.0003* | 1 | - | 0.085 |
Present | 20 | 8 | 3.004 | 1.313-6.874 | 10 | 1.886 | 0.916-3.881 | |||||
Mitotic rate (per 10 high power fields) | < 10 | 139 | 12 | 0.0001* | 1 | - | 0.037* | 23 | 0.0002* | 1 | - | 0.086 |
>= 10 | 156 | 40 | 2.054 | 1.044-4.039 | 54 | 1.572 | 0.938-2.635 | |||||
THBS2 expression | Low | 147 | 10 | <0.0001* | 1 | - | 0.033* | 18 | <0.0001* | 1 | - | 0.004* |
High | 148 | 42 | 2.204 | 1.065-4.562 | 59 | 2.275 | 1.307-3.960 |
* Statistically significant.
Prognostic Impact of THBS2 Expression on UC-UUTs and UCBs
In univariate analysis, high THBS2 expression was significantly associated with poor DSS and MeFS in both the UC-UUT and UCB groups (Table 3and Table 4; Fig. 3, all P < 0.0001). In multivariate analysis, THBS2 overexpression was an independent negative prognosticator that predicted unfavorable outcomes in both UC groups (all P < 0.05).
Discussion
Urothelial carcinoma is a cancer with high recurrent rate and the 5-year overall survival is still unsatisfactory for advanced disease in spite of the introduction of adjuvant chemotherapy 31. Therefore, it is mandatory for scientists and physicians to develop more effective therapeutic strategies for high-risk patients.
THBS2 belongs to the thrombospondin (THBS/TSP) family of five calcium-binding matricellular glycoproteins, THBS1-THBS5. They are classified into two subgroups, namely trimeric and pentameric proteins, according to the oligomerization state and domain structure. THBS1 and THBS2 are trimeric proteins, whereas the others are pentameric 32. THBS1 and THBS2 have similar molecular structures and share 85% amino acid conservation and therefore have similar binding domains. Among the THBS/TSP family of proteins, only THBS1 and THBS2 contain the three type I properdin-like repeats, which contribute to the inhibition of angiogenesis 32. THBS2 interacts with various cell-surface receptors, growth factors, cytokines, and proteases to modulate cell-matrix adhesion, motility, chemotaxis, wound healing, angioinhibition, among others 33. It also participates in tumorigenesis, mainly by inhibiting angiogenesis and by negatively regulating MMP-2 and MMP-9 34. Therefore, THBS2 is usually considered to a tumor-suppressive gene. However, studies investigating THBS2 expression in various tumors have yielded inconsistent results. In a colorectal cancer study, THBS2 gene expression was negatively correlated with liver metastasis (P = .02) and M1 status (P = .03) 21; high THBS2 immunoreactivity was not only associated with tumor response to neoadjuvant chemoradiotherapy but also with an independent and good prognostic factor for DSS and MeFS in patients with rectal cancer 28. In one pancreatic cancer cell line study, the invasive property of the transfectants overexpressing THBS2 transcripts and protein was significantly suppressed (P < .05) 22. THBS2 gene downregulation was also observed in prostate cancer tissues and cell lines 25. In addition, overexpression of THBS2 also proved to be a favorable prognostic factor for overall survival in patients with gastric cancer 26. By contrast, in Chijiwa, et al., THBS2 transcriptional levels were significantly higher in lung adenocarcinoma compared with normal pulmonary tissues (P < .0001) and were significantly higher in tumors with more advanced T statuses and stages compared with early cancers (P = .0179 for T3/4 to T1/2; P = .0136 for stages II/III to I) 23. In the same study, THBS2 gene upregulation predicted poor overall survival (P = .0139) 23. In a recent study by Naumnik, et al., the serum concentration of THBS2 was significantly higher in patients with non-small cell lung cancer compared with healthy controls (P = .002); in addition, high serum concentration of THBS2 correlated with shorter survival (P = .007) 27. The conflict maybe due to the divergent role of the same molecule in the differing microenvironments of various cancers. The current work is the first investigating the clinical correlation of THBS2 expression in both UCB and UC-UUT. The oncogenic property of THBS2 on UC maybe related to a mechanism other than the antiangiogenic effect.
Conclusion
The present study revealed overexpression of THBS2 played a significant role in tumor progression of UC. Overexpression of THBS2 was not only significantly associated with aggressive clinicopathological parameters but was also an independent poor prognostic biomarker predicting shorter DSS and MeFS in both UC-UUT and UCB. Additional investigations to elucidate the molecular pathway are necessary for developing potential THBS2-targeted therapies for both groups of UCs, similar to how we have previously developed hopeful molecular targets for UCs 35-41.
Acknowledgments
This study was supported by grants from Kaohsiung Medical University “Aim for the Top Universities” (KMU-TP104E31, KMU-TP104G00, KMU-TP104G01, KMU-TP104G04), the health and welfare surcharge of tobacco products, Ministry of Health and Welfare (MOHW105-TDU-B-212-134007), Ministry of Science and Technology (MOST103-2314-B-037-059-MY3), and Kaohsiung Medical University Hospital (KMUH101-1R46, KMUH103-3M37). The present work was also supported by grants from E-DA Hospital to I-W Chang (EDAHP105062).
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