Low expression levels of hepsin and TMPRSS3 are associated with poor breast cancer survival
verfasst von:
Mikko Pelkonen, Kaisa Luostari, Maria Tengström, Hermanni Ahonen, Bozena Berdel, Vesa Kataja, Ylermi Soini, Veli-Matti Kosma, Arto Mannermaa
Hepsin, (also called TMPRSS1) and TMPRSS3 are type II transmembrane serine proteases (TTSPs) that are involved in cancer progression. TTSPs can remodel extracellular matrix (ECM) and, when dysregulated, promote tumor progression and metastasis by inducing defects in basement membrane and ECM molecules. This study investigated whether the gene and protein expression levels of these TTSPs were associated with breast cancer characteristics or survival.
Methods
Immunohistochemical staining was used to evaluate hepsin levels in 372 breast cancer samples and TMPRSS3 levels in 373 samples. TMPRSS1 mRNA expression was determined in 125 invasive and 16 benign breast tumor samples, and TMPRSS3 mRNA expression was determined in 167 invasive and 23 benign breast tumor samples. The gene and protein expression levels were analyzed for associations with breast cancer-specific survival and clinicopathological parameters.
Results
Low TMPRSS1 and TMPRSS3 mRNA expression levels were independent prognostic factors for poor breast cancer survival during the 20-year follow-up (TMPRSS1, P = 0.023; HR, 2.065; 95 % CI, 1.106–3.856; TMPRSS3, P = 0.013; HR, 2.106; 95 % CI, 1.167–3.800). Low expression of the two genes at the mRNA and protein levels associated with poorer survival compared to high levels (log rank P-values 0.015–0.042). Low TMPRSS1 mRNA expression was also an independent marker of poor breast cancer prognosis in patients treated with radiotherapy (P = 0.034; HR, 2.344; 95 % CI, 1.065–5.160). Grade III tumors, large tumor size, and metastasis were associated with low mRNA and protein expression levels.
Conclusions
The results suggest that the TTSPs hepsin and TMPRSS3 may have similar biological functions in the molecular pathology of breast cancer. Low mRNA and protein expression levels of the studied TTSPs were prognostic markers of poor survival in breast cancer.
The online version of this article (doi:10.1186/s12885-015-1440-5) contains supplementary material, which is available to authorized users.
Veli-Matti Kosma and Arto Mannermaa contributed equally to this work.
Competing interests
The authors declare that they have no competing interests.
Authors’ contributions
MP, VK, V-MK and AM contributed to the conception and design of the study. MT, VK, VM-K and AM were involved in the acquisition of data. MP, KL, MT, HA, BB, YS and AM participated in the analysis and interpretation of data. MP, MT and BB drafted the manuscript. MP, KL, MT, BB, V-MK and AM contributed to the revision of the manuscript. HA and YS provided technical and material support. VK, V-MK and AM provided administrative support. KL, V-MK and AM contributed to the supervision of the study. All authors read and approved the final manuscript.
Globally, breast cancer is the most commonly diagnosed cancer in women, while metastatic disease is the leading cause of cancer-related deaths in this group [1]. Epithelial integrity and intact extracellular matrix (ECM), which includes basement membrane and interstitial connectivity tissue, are essential for normal cell behavior and tissue homeostasis [2]. Remodeling and degradation of the ECM, along with defects in structural cell-adhesion molecules, play a significant role in breast cancer progression [3]. Type II transmembrane serine proteases (TTSPs) are a relatively new subfamily of S1 class serine proteases in humans comprised of 17 proteolytic enzymes [4, 5]. In addition to their roles in normal tissue development and homeostasis, TTSPs are also involved in several human diseases, including cancer, and many show potential as biomarkers of tumor progression and represent prospective therapeutic targets [6, 7]. TTSPs localize to the cell membrane and are able to degrade the ECM and remodel intercellular and cell-ECM junctions. Accordingly, dysregulation of TTSPs is thought to be involved in the early stages of tumorigenesis, tumor growth, and cancer cell invasiveness that lead to metastasis [8, 9]. In this study, we looked at the expression of two members of the TTSP family, hepsin (also called TMPRSS1), which is encoded by the TMPRSS1 gene, and TMPRSS3, encoded by the TMPRSS3 gene.
Hepsin upregulation in malignant tumors has been demonstrated in prostate and ovarian cancers as well as in renal cell carcinoma [10‐13]. A recent study used immunohistochemistry to show that hepsin protein levels were upregulated in human breast cancer tumor samples [14]. TMPRSS1 mRNA overexpression is associated with ER(α)-positive human breast tumors [15], while TMPRSS3 overexpression has been implicated in pancreatic and epithelial ovarian cancers [16, 17]. Missense mutations in the TMPRSS3 gene that lead to structural TMPRSS3 defects are associated with hereditary deafness [18]. Both hepsin and TMPRSS3 belong to the hepsin/TMPRSS subfamily of TTSPs and share structural features [5, 6]. TTSPs are anchored to the cell membrane via an N-terminal transmembrane domain. At the C-terminus, TTSPs have an extracellular serine protease domain that is required for their catalytic activity [4, 7]. Notably, several soluble forms of TTSPs that retain catalytic activity have also been detected [4, 9]. Hepsin and TMPRSS3 appear to be capable of autocatalytic activation, suggesting that they play roles as initiators of proteolytic cascades that lead to ECM remodeling [19, 20]. Overexpressed hepsin activates proteolytic pathways and also directly interferes with cell-cell and cell-ECM adhesion molecules. Hepsin can activate hepatocyte growth factor (HGF) and urokinase-type plasminogen activator- (uPA) mediated proteolytic pathways, which results in ECM degradation [21‐23]. Hepsin plays a physiological role as it directly and specifically cleaves laminin-332 (ln-332, previously termed laminin-5), an important ECM protein involved in maintaining the structural integrity of the basement membrane [24]. It was shown recently that hepsin becomes mislocalized when liver kinase B1 (lkb1) expression is lost and that overexpressed hepsin induces basement membrane degradation in breast cancer [25].
Anzeige
This is the first study to examine TMPRSS3 gene expression in a set of clinical breast cancer samples and to investigate whether altered TMPRSS1 and TMPRSS3 gene expression has an impact on the clinical outcome of breast cancer patients. Here, we analyzed the associations of mRNA and protein expression of these genes with clinicopathological parameters and breast cancer-specific survival. Recently, we reported that TMPRSS3 SNP rs3814903 associated with both breast cancer risk and survival and SNP rs11203200 associated with breast cancer survival [26]. Furthermore, TMPRSS1 SNPs rs12151195 and rs12461158 remained independent prognostic factors of breast cancer survival [26]. Our previous study showed that another member of the TTSP family, matriptase (encoded by the ST14 gene), is associated with breast cancer survival [27]. We also showed that several TMPRSS6 (encoding matriptase-2) variants are related to breast cancer prognosis and matriptase-2 expression levels decrease with tumor progression [28]. These previous findings prompted us to investigate whether altered expression of hepsin and TMPRSS3 might also have a role in the molecular pathology of breast cancer. Although the physiological substrates for TMPRSS3 remain unclear, it is possible that the biological mechanisms that lead to ECM degradation are similar to those of hepsin. When overexpressed in breast cancer, hepsin and TMPRSS3 could promote cancer cell invasiveness via dysregulated proteolytic activity. This results in defects in the basement membrane and in uncontrolled ECM degradation. However, the expression levels seem to decrease as tumor malignancy increases, and low expression levels of these proteins are associated with poor breast cancer survival as well as with the adjuvant treatments the patients received.
Methods
Patients
The patient samples used in this study were obtained from the Kuopio Breast Cancer Project (KBCP) sample set, which includes 497 potential breast cancer cases from the Northern Savo region of Eastern Finland. The patients were diagnosed at Kuopio University Hospital between April 1990 and December 1995 [27, 29]. All the patients are of Caucasian race. The KBCP, including this study, was approved by the official Research Ethics Committee of Hospital District of Northern Savo. Informed written consents were obtained from all of the patients and this study was carried out in compliance with the Declaration of Helsinki. Patient follow-up status was last revised in February 2011. Table 1 shows the clinicopathological characteristics of the breast tumor cases in this study as well as data on the adjuvant treatments the patients received.
Table 1
Clinicopathological charasteristics of the patients
Cases in TMPRSS1
Cases in TMPRSS3
Cases in TMPRSS1*
Cases in TMPRSS3
mRNA expression
mRNA expression
protein expression
protein expression
Clinical variable
n
%
n
%
n
%
n
%
Breast tumor samples
Malignant
125
88.7
167
87.9
372
100
373
100
Benign
16
11.3
23
12.1
Histological type
Ductal
89
63.2
118
62.1
236
63.5
237
63.5
Lobular
20
14.2
31
16.3
73
19.6
72
19.3
Other malignant
16
11.3
18
9.5
63
16.9
64
17.2
Benign
16
11.3
23
12.1
Age at diagnosis
< = 39
12
9.6
14
8.4
31
8.3
31
8.3
40–49
22
17.6
29
17.4
91
24.5
91
24.4
50–59
29
23.2
38
22.8
88
23.7
88
23.6
60–69
18
14.4
28
16.7
53
14.2
54
14.5
> = 70
44
35.2
58
34.7
109
29.3
109
29.2
Tumor grade
I
24
19.2
28
16.8
87
23.4
88
23.6
II
51
40.8
74
44.3
162
43.6
161
43.2
III
48
38.4
60
35.9
105
28.2
106
28.4
NA
2
1.6
5
3.0
18
4.8
18
4.8
Tumor size
T1
46
36.8
63
37.7
173
46.5
174
46.6
T2
64
51.2
84
50.3
160
43.0
160
42.9
T3
9
7.2
12
7.2
19
5.1
20
5.4
T4
6
4.8
8
4.8
15
4.0
15
4.0
NA
5
1.4
4
1.1
Nodal status
Negative
71
56.8
87
52.1
197
53.0
198
53.1
Positive
51
40.8
73
43.7
155
41.6
155
41.5
NA
3
2.4
7
4.2
20
5.4
20
5.4
Stage
I
34
27.2
42
25.1
121
32.5
122
32.7
II
74
59.2
97
58.1
184
49.5
184
49.3
III
10
8.0
14
8.4
32
8.6
32
8.6
IV
4
3.2
7
4.2
13
3.5
13
3.5
NA
3
2.4
7
4.2
22
5.9
22
5.9
ER status
Negative
40
32.0
50
29.9
82
22.0
83
22.2
Positive
83
66.4
111
66.5
270
72.6
270
72.4
NA
2
1.6
6
3.6
20
5.4
20
5.4
PR status
Negative
56
44.8
70
41.9
140
37.6
141
37.8
Positive
67
53.6
91
54.5
212
57.0
211
56.6
NA
2
1.6
6
3.6
20
5.4
21
5.6
HER2 status
Negative
99
79.2
130
77.8
299
80.4
299
80.2
Positive
19
15.2
24
14.4
46
12.3
46
12.3
NA
7
5.6
13
7.8
27
7.3
28
7.5
ER/PR/HER2 status
Triple-negative
24
19.2
29
17.4
42
11.3
43
11.5
Non-triple-negative
94
75.2
122
73.0
289
77.7
288
77.2
NA
7
5.6
16
9.6
41
11.0
42
11.3
Radiotherapy
Yes
66
52.8
84
50.3
205
55.1
208
55.8
No
59
47.2
83
49.7
167
44.9
165
44.2
Chemotherapy
Yes
18
14.4
26
15.6
69
18.5
69
18.5
No
107
85.6
141
84.4
303
81.5
304
81.5
Tamoxifen
Yes
23
18.4
31
18.6
62
16.7
62
16.6
No
102
81.6
136
81.4
310
83.3
311
83.4
Latest follow-up status
Alive
38
30.4
52
31.2
149
40.1
149
39.9
Died of breast cancer
42
33.6
56
33.5
112
30.1
113
30.3
Died of other reason
45
36.0
59
35.3
111
29.8
111
29.8
NA, data not avalaible; *hepsin
RNA extraction and cDNA synthesis
Human breast tumor tissue sample retrieval during surgery, RNA extraction from the tumor samples and cDNA synthesis were performed as described in Kauppinen et al. [27]. The mirVana™ miRNA Isolation Kit (Life Technologies, Carlsbad, CA) was used to extract total RNA from frozen tissue samples, and the High Capacity cDNA Reverse Transcription Kit (Life Technologies) for cDNA synthesis. RNA extraction and cDNA synthesis were performed according to the manufacturer’s instructions.
Quantitative real-time PCR
Of the KBCP sample set, 125 invasive breast cancer samples and 16 benign breast tumor samples were available for TMPRSS1 mRNA absolute quantification by real-time PCR, and 167 invasive and 23 benign samples were available for TMPRSS3 mRNA quantification. TaqMan Gene Expression Assays (Life Technologies) were used according to the manufacturer’s instructions (assay #Hs01056332_m1 for TMPRSS1 and #Hs00225161_m1 for TMPRSS3), and peptidylprolyl isomerase A (PPIA) was used as an endogenous control [Human Cyc Pre-Developed TaqMan Assay Reagents (20X), Life Technologies] [30]. Brilliant III Ultra-Fast QPCR Master Mix (Agilent Technologies, Santa Clara, CA) and Mx3000P real-time PCR system with MxPro-Mx3000P v4.10 software (Agilent Technologies) were used according to the manufacturer’s instructions. The PCR thermal profile was 1 cycle at 95-°C for 3 min followed by 45-55 cycles at 95-°C for 20 s plus 30 s at 60-°C. The assays for the studied gene and the control were in the same reaction. Samples were analyzed in triplicate in 96-well plates. The amount of cDNA varied from 2-75 ng in a final volume of 20-μl, and each plate included standard curves for sample quantification using a serial dilution of cDNA that was synthesized from 5 randomly-selected KBCP tumor samples. The relative mRNA expression values were calculated by dividing the raw expression of the studied gene with the raw PPIA expression in the sample.
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Immunohistochemistry
For immunohistochemical staining, 372 invasive breast cancer tumor samples were available for hepsin analysis and 373 samples were available for TMPRSS3 analysis. Immunohistochemical staining was performed on 4-μm sections cut from the tissue microarray (TMA) blocks. The TMA blocks were constructed with a custom-built instrument (Beecher Instruments, Silver Spring, MD). The sample diameter of the tissue core in the array block was 1000 μm and three samples from tumor tissue of each case were studied. After deparaffinization and rehydration, the sections for TMPRSS3 analysis were heated in a microwave oven for 3 × 5 min in citrate buffer (pH 6.0). The sections for hepsin analysis were not heated. The slides were treated for 5 min with 5 % hydrogen peroxide to block endogenous peroxidase, then incubated for 35 min at room temperature in 1.5 % normal serum diluted in PBS to block non-specific binding. The blocked sections were incubated overnight at 4-°C with the rabbit polyclonal primary antibody against hepsin (LS-C24203/28374; LifeSpan BioSciences, Seattle, WA) at a dilution of 1:250 or with an antibody against TMPRSS3 (NBP1-19582; Novus Biologicals, Littleton, CO) at a dilution of 1:250. The slides were then incubated with a biotinylated secondary antibody for 35 min and with an avidin-biotin-peroxidase complex for 45 min [Vectastain Elite ABC Kit (anti-rabbit IgG); Vector Laboratories, Burlingame, CA]. Slides were rinsed with PBS after each step of the immunostaining procedure. The color was developed using diaminobenzidine tetrahydrochloride (DAB; Sigma, St. Louis, MO). The slides were counterstained with Mayer's hematoxylin, washed, dehydrated, cleared, and mounted with Depex (BDH, Poole, UK). For the negative controls, the primary antibody was omitted.
Three slides from each TMA block were examined in triplicate by two researchers (BB, HA) under the supervision of a senior pathologist (YS). The immunoreactivity of hepsin and TMPRSS3 in the cytoplasm of epithelial tumor cells was analyzed, and the intensity and the extent of staining were scored (0, negative; 1, weak; 2, moderate; 3, intense; Fig. 1a-d). The three slides were evaluated separately by researchers and were re-evaluated when values were inconsistent to achieve a consensus. The tumor samples were divided into low and high expression groups according to the median value of immunohistochemical staining scores.
Fig. 1
Immunohistochemical staining of hepsin and TMPRSS3 in invasive ductal breast cancer. Cytoplasmic immunostaining of epithelial tumor cells: a, weak staining of hepsin (score of 1 for intensity); b, intense staining of hepsin (score of 3); c, weak staining of TMPRSS3 (score of 1); d, intense staining of TMPRSS3 (score of 3). All panels, 400x magnification
×
Statistical analysis
Statistical analyses were performed using IBM SPSS Statistics 19 software (IBM Corporation, Armonk, NY). The non-parametric Mann-Whitney U test and the Kruskal-Wallis test were used to study differences in continuous mRNA expression values according to different clinicopathological parameters. Fisher’s exact test was used to study associations between protein expression and clinicopathological parameters. The odds ratios (ORs) and the 95 % confidence intervals (95 % CIs) were determined using logistic regression analysis to describe the strength of statistically significant associations between expression levels and clinicopathological characteristics. The Kaplan-Meier method was used in univariate survival analyses. Multivariate Cox’s proportional hazards analysis was carried out in a forward stepwise method to estimate the hazard factors having an impact on breast cancer-specific death and relapse. In addition to mRNA and protein expressions, Cox regression analysis examined the following clinicopathological parameters: tumor grade, nodal status, tumor size, estrogen receptor (ER) status, progesterone receptor (PR) status, and tumor histologic type. In addition, the adjuvant treatments were used as variables in the analyses including the treatment data. All statistical tests were two-sided, and a P value of 0.05 was considered statistically significant.
We used an online Kaplan-Meier survival analysis tool to validate the value of TMPRSS1 and TMPRSS3 as prognostic biomarkers in breast cancer (http://kmplot.com/analysis/index.php?p=service&cancer=breast) [31]. The Kaplan-Meier plotter uses gene expression data and relapse-free and overall survival information which are downloaded from GEO (Affymetrix microarrays only), EGA and TCGA. The patient samples are divided into two groups according to the median gene expression value similar to our analysis method. The groups are then compared by Kaplan-Meier plot and the hazard ratio with 95 % confidence intervals and log rank P values are calculated [31].
Results
Low mRNA expression and low protein expression are associated with advanced breast cancer tumor malignancy
The results of quantitative real-time PCR and immunohistochemical staining were analyzed for associations with the clinicopathological parameters of each patient. Table 2 presents the statistical association results for TMPRSS1 and TMPRSS3 mRNA expression, and Additional file 1: Table S1 presents the statistical association results for hepsin and TMPRSS3 protein expression. TMPRSS1 and TMPRSS3 mRNA expression was high in well-differentiated malignant breast tumors compared to benign breast tumors (Table 2; Additional file 2: Figure S1A-B). However, poorly differentiated tumors expressed low mRNA levels of both genes (TMPRSS1: P = 0.000015 and TMPRSS3: P = 0.0002; Kruskal-Wallis test; Table 2; Additional file 2: Figure S1A-B). Likewise, logistic regression analysis showed that low hepsin expression levels were associated with poorly differentiated tumors (P = 0.00009; OR, 3.289; 95 % CI, 1.811-5.973; Additional file 1: Table S1), as were low levels of TMPRSS3 protein expression (P = 0.0000002; OR, 5.006; 95 % CI, 2.721-9.209; Additional file 1: Table S1).
Table 2
Significant clinical variables associated with TMPRSS1 and TMPRSS3 mRNA expression
TMPRSS1 expressiona
TMPRSS3 expressiona
Clinical variable
n (%)
P
Median / IQR
n (%)
P
Median / IQR
Tumor type
0.002
NS
Benign
16 (11.3)
0.27 / 0.57
23 (12.1)
0.98 / 0.56
Malignant
125 (88.7)
0.96 / 2.10
167 (87.9)
0.92 / 1.74
Tumor grade
0.000015
0.0002
I
24 (19.5)
0.000007b
2.03 / 2.74
28 (17.3)
0.016b
1.76 / 2.80
II
51 (41.5)
NSc
1.67 / 2.41
74 (45.7)
NSc
1.29 / 2.03
III
48 (39.0)
0.000004d
0.55 / 0.88
60 (37.0)
0.0001d
0.55 / 0.84
ER status
0.000003
0.0027
Negative
40 (32.5)
0.45 / 0.84
50 (31.1)
0.55 / 0.84
Positive
83 (67.5)
1.67 / 2.44
111 (68.9)
1.24 / 2.34
PR status
0.001
0.0076
Negative
56 (45.5)
0.59 / 1.39
70 (43.5)
0.67 / 1.21
Positive
67 (54.5)
1.53 / 2.57
91 (56.5)
1.32 / 2.41
HER2 status
0.001
0.017
Negative
99 (83.9)
1.12 / 2.25
130 (84.4)
1.08 / 2.46
Positive
19 (16.1)
0.35 / 0.75
24 (15.6)
0.58 / 0.89
ER/PR/HER2 status
0.001
NS
Triple-negative
24 (20.3)
0.49 / 0.98
29 (19.2)
0.69 / 1.86
Non-triple-negative
94 (79.7)
1.12 / 2.33
122 (80.8)
1.09 / 1.81
IQR, Interquartile range; NS, Not significant
aMann-Whitney U test was used for subgroups of two variables and Kruskal-Wallis test for subgroups of several variables
bP value for comparing mRNA expression in benign tumors versus grade I tumors
cP value for comparing mRNA expression in grade I tumors versus grade II tumors
dP value for comparing mRNA expression in grade I tumors versus grade III tumors
The results in Table 2 and Additional file 1: Table S1 show that mRNA and protein expression levels were high in well-differentiated tumors and low in poorly differentiated tumors. Furthermore, logistic regression analysis showed that low hepsin and TMPRSS3 protein expression levels were positively associated with advanced clinical stages III and IV (hepsin: P = 0.005; OR, 2.757; 95 % CI, 1.354-5.611 and TMPRSS3: P = 0.028; OR, 2.176; 95 % CI, 1.086-4.361) and that low hepsin expression was positively associated with larger tumor sizes (T3 and T4; P = 0.034; OR, 2.266; 95 % CI, 1.065-4.82), which indicates more extensive disease. The Mann-Whitney U test showed that low TMPRSS1 and TMPRSS3 expression levels were associated with ER-negative status, PR-negative status, and HER2-positive status (Table 2). In addition, low TMPRSS1 mRNA expression was associated with triple-negative tumors (Table 2). As shown by the logistic regression analysis, low hepsin protein expression associated with positive nodal status, while low TMPRSS3 protein expression with PR-negative status and triple-negative tumors (Additional file 1: Table S1).
Low mRNA and protein expression levels predict poor breast cancer survival
Statistical analysis of 20-year follow-up data revealed that the mRNA and protein expression levels of the studied genes had prognostic value for the breast cancer patients in this study. The univariate Kaplan-Meier analysis showed that low mRNA expression of TMPRSS1 (log rank, P = 0.042; Fig. 2a) and TMPRSS3 (log rank, P = 0.015; Fig. 2b) predicted poorer breast cancer-specific survival compared to high expression, as did low expression of the TMPRSS3 protein (log rank, P = 0.028; Fig. 2d) during the 20-year follow-up period. Similarly, low protein expression of hepsin (log rank, P = 0.035, Fig. 2c) predicted poorer breast cancer-specific survival during the 10-year follow-up period, yet was not significant during the 20-year follow-up period (P = 0.315, Fig. 2c).
Fig. 2
Kaplan-Meier survival analysis of the breast cancer patients according to mRNA and protein expression levels. Patients were divided into high and low expression groups relative to the median expression values. Expression of a, TMPRSS1 mRNA (median follow-up time 9.84 years); b, TMPRSS3 mRNA (median follow-up time 9.54 years); c, hepsin protein (median follow-up time 11.05 years); and d, TMPRSS3 protein (median follow-up time 10.94 years)
×
In the multivariate Cox regression survival analysis, low mRNA expression of TMPRSS1 (P = 0.023; HR, 2.065; 95 % CI, 1.106-3.856; Table 3; Fig. 3a) and TMPRSS3 (P = 0.013; HR, 2.106; 95 % CI, 1.167-3.800; Table 3; Fig. 3b) remained independent factors for predicting poor breast cancer survival. The clinicopathological parameters that remained independent prognostic factors of poor survival included positive nodal status and large tumor size (T3, T4) when TMPRSS1 expression was studied in the multivariate survival analysis. In the multivariate survival analysis of TMPRSS3 expression, ER-negative status and lobular histology were independent prognostic factors in addition to positive nodal status and large tumor size. Positive nodal status and large tumor size were statistically more significant than low mRNA expression levels in terms of poor breast cancer prognosis. Associations between protein expression and breast cancer prognosis could not be identified in the multivariate survival analysis (data not shown).
Table 3
Multivariate Cox regression analyses of clinicopathological variables, mRNA and protein expression levels, and breast cancer survival
Variable
B (SE)
Wald
RR (95 % CI)
P
Multivariate survival analysis with TMPRSS1 mRNA expression
Nodal status
Negative
Ref.
Positive
0.786 (0.339)
5.369
2.194 (1.129–4.265)
0.020
Tumor size
T1
Ref.
T2
0.678 (0.421)
2.597
1.970 (0.864–4.492)
0.107
T3, T4
1.385 (0.504)
7.563
3.997 (1.489–10.729)
0.006
TMPRSS1 mRNA expression*
Low
0.725 (0.318)
5.187
2.065 (1.106–3.856)
0.023
High
Ref.
Multivariate survival analysis with TMPRSS3 mRNA expression
Nodal status
Negative
Ref.
Positive
1.091 (0.320)
11.596
2.976 (1.589–5.575)
0.001
Tumor size
T1
Ref.
T2
0.317 (0.373)
0.769
1.386 (0.668–2.874)
0.380
T3, T4
1.256 (0.452)
7.720
3.511 (1.448–8.516)
0.005
TMPRSS3 mRNA expression*
Low
0.745 (0.301)
6.111
2.106 (1.167–3.800)
0.013
High
Ref.
Histology
Ductal
0.472 (0.551)
0.734
1.603 (0.545–4.715)
0.391
Lobular
1.501 (0.589)
6.497
4.487 (1.415–14.231)
0.011
Medullary, others
Ref.
ER status
Negative
0.628 (0.310)
4.109
1.873 (1.021–3.437)
0.043
Positive
Ref.
Multivariate survival analysis with combined TMPRSS1-TMPRSS3 mRNA expression
Combined mRNA expression†
Low
0.909 (0.325)
7.803
2.482 (1.312–4.698)
0.005
Others
Ref.
Nodal status
Negative
Ref.
Positive
0.975 (0.360)
7.327
2.650 (1.309–5.368)
0.007
Tumor size
T1
Ref.
T2
0.481 (0.433)
1.233
1.617 (0.692–3.779)
0.267
T3, T4
1.281 (0.505)
6.427
3.600 (1.337–9.691)
0.011
Multivariate survival analysis with combined hepsin-TMPRSS3 protein expression
Nodal status
Negative
Ref.
Positive
0.905 (0.227)
15.942
2.473 (1.586–3.857)
0.00007
Tumor size
T1
Ref.
T2
0.176 (0.235)
0.559
1.192 (0.752–1.888)
0.455
T3, T4
0.891 (0.321)
7.696
2.438 (1.299–4.576)
0.006
Histology
Ductal
0.255 (0.322)
0.628
1.291 (0.687–2.426)
0.428
Lobular
0.903 (0.343)
6.909
2.466 (1.258–4.834)
0.009
Medullary, others
Ref.
Tumor grade
I
Ref.
II
0.711 (0.290)
6.025
2.036 (1.154–3.591)
0.014
III
0.532 (0.337)
2.493
1.702 (0.880–3.294)
0.114
Combined protein expression†
Low
0.432 (0.214)
4.087
1.541 (1.013–2.342)
0.043
Others
Ref.
Note: Analyses included tumor grade, histology, tumor size, nodal status, ER and PR status
B (SE), B coefficient with standard error; HR (95 % CI), hazard ratio of breast cancer death with a 95 % confidence interval; Ref., reference category in the multivariate analysis
*The relative median value of mRNA expression level was used in the analyses
†The ‘combined low group’ included all cases with low expression levels of both genes
Fig. 3
Cox regression multivariate analysis of breast cancer survival. Patients were divided into high and low expression groups relative to the median expression values (a, b). Cox regression analysis of survival according to the expression of (a), TMPRSS1 mRNA (median follow-up time 9.79 years); b, TMPRSS3 mRNA (median follow-up time 9.51 years); c, TMPRSS1 and TMPRSS3 mRNA (median follow-up time 9.79 years); and d, hepsin and TMPRSS3 protein expression (median follow-up time 11.05 years). In addition to expression levels, tumor grade, nodal status, tumor size, hormone receptor status, and histologic type were included in the multivariate analyses. Positive nodal status and large tumor size (T3, T4) were other parameters that were significantly associated with poorer breast cancer survival in the multivariate analyses
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Associations between relapse-free survival during the 20-year follow-up period and expression levels were studied using univariate Kaplan-Meier analysis. Patients with low levels of TMPRSS3 mRNA and low levels of TMPRSS3 protein had more frequent relapses (TMPRSS3: log rank, P = 0.009; Additional file 3: Figure S2A and TMPRSS3: log rank, P = 0.003; Additional file 3: Figure S2B). In the Cox regression multivariate analysis, both low TMPRSS3 mRNA expression and low TMPRSS3 protein expression remained independent factors that had an effect on relapse occurrence (Additional file 3: Figure S2C-D). When studied separately, the association of local recurrence with expression levels was not as strong as the association of distant recurrence with expression levels (data not shown). During 20-year follow-up period, distant metastasis occurred more frequently in patients with low TMPRSS1 expression levels (Additional file 4: Figure S3A), low TMPRSS3 expression levels (Additional file 4: Figure S3B), and low TMPRSS3 protein expression levels (Additional file 4: Figure S3C).
Low TMPRSS1 mRNA expression is associated with poor survival in patients treated with radiotherapy
Associations between the studied expression levels and breast cancer-specific and overall survival according to the adjuvant therapies given to the patients were analyzed using univariate Kaplan-Meier analysis and multivariate Cox regression survival analysis. Low TMPRSS1 mRNA expression was associated with both poor breast cancer-specific survival (log rank, P = 0.030; Cox regression analysis, P = 0.034; HR, 2.344; 95 % CI, 1.065-5.160; Fig. 4a) and poor overall survival (log rank, P = 0.006; Cox regression analysis, P = 0.007; HR, 2.392; 95 % CI, 1.276-4.484; Fig. 4b) in patients who were treated with radiotherapy. There were no significant survival differences according to the TMPRSS1 mRNA level in patients who did not receive radiotherapy. Furthermore, the Kaplan-Meier estimates of patients who received chemotherapy showed that low TMPRSS1 mRNA expression was associated with poor breast cancer-specific survival (log rank, P = 0.028) and poor overall survival (log rank, P = 0.028).
Fig. 4
Low TMPRSS1 mRNA expression is associated with poor survival in patients treated with radiotherapy in Cox regression multivariate analysis. Cox regression analysis of a, breast cancer-specific survival and b, overall survival according to the TMPRSS1 mRNA expression in patients treated with radiotherapy. Adjustments were made for age, stage, grade, histologic type, hormone receptor status, hormonal treatment, and chemotherapy
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When the treatment data was included in the survival analyses, low TMPRSS3 mRNA expression was associated with poor breast cancer-specific survival (log rank, P = 0.039) in all the treated patients and remained an independent factor predicting more frequent relapse occurrence (log rank, P = 0.023; Cox regression analysis, P = 0.021; HR, 1.831; 95 % CI, 1.094–3.063). Low TMPRSS3 protein expression also predicted poorer relapse-free survival (log rank, P = 0.011; Cox regression, P = 0.031; HR, 1.520; 95 % CI, 1.040–2.221) compared with high TMPRSS3 expression. No significant results were found between different treatment groups regarding TMPRSS3 expression.
The combination of low TMPRSS1-TMPRSS3 mRNA and hepsin-TMPRSS3 protein expression predicts poor breast cancer survival
The statistical associations between mRNA and protein expression levels were assessed using Spearman rank correlation coefficient. TMPRSS1 expression levels correlated with hepsin protein expression levels (r = 0.18; P = 0.05; n = 112), and TMPRSS3 expression levels correlated with TMPRSS3 protein expression levels (r = 0.24; P = 0.04; n = 147). Positive correlations were also found between TMPRSS1 and TMPRSS3 mRNA expression (r = 0.39; P = 0.000007; n = 123) and between hepsin and TMPRSS3 protein expression (r = 0.27; P = 0.0000001; n = 371). Consequently, combined TMPRSS1 and TMPRSS3 mRNA expression and combined hepsin and TMPRSS3 protein expression were tested for statistical association with clinicopathological parameters and breast cancer-specific survival. The combination variables were formed so that the breast cancer cases that expressed low mRNA levels of both of the studied genes formed the ‘low combined mRNA expression group’ and the remaining cases formed the other (reference) group. A similar approach was used to forming a ‘low protein expression’ group. Breast cancer cases with low combined expression were associated with clinicopathological parameters that indicate advanced tumor malignancy (Additional file 5: Table S2).
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Univariate Kaplan-Meier survival analyses showed that low levels of both mRNA (log rank, P = 0.013; Additional file 6: Figure S4A) and protein expression (log rank, P = 0.001; Additional file 6: Figure S4B) indicated poorer breast cancer prognosis, with low expression levels associated with poor breast cancer survival and distant recurrence during the 20-year follow-up period (Additional file 6: Figure S4C-D). Both low mRNA (P = 0.005; HR, 2.482; 95 % CI, 1.312–4.698; Table 3; Fig. 3c) and low protein expression (P = 0.043; HR, 1.541; 95 % CI, 1.013-2.342; Table 3; Fig. 3d) remained independent factors for survival in the multivariate Cox regression analysis, as did positive nodal status and large tumor size (data not shown). Taken together, these results indicate that the protein expression levels of hepsin and TMPRSS3 correlate with the mRNA levels of TMPRSS1 and TMPRSS3, respectively. Further, low expression levels of TMPRSS1 and TMPRSS3 mRNA and hepsin and TMPRSS3 predict advanced tumor malignancy and poorer prognosis.
The prognostic value of low TMPRSS1 and TMPRSS3 mRNA expression levels in breast cancer was validated in a public gene expression dataset
The results obtained from the online Kaplan-Meier plotter analysis tool presented that both low TMPRSS1 and TMPRSS3 expression were significantly associated with poorer relapse-free survival (TMPRSS1: log rank, P = 0; HR, 0.61; 95 % CI, 0.55–0.69; n = 3554; Additional file 7: Figure S5A and TMPRSS3: log rank, P = 3.8e-10; HR, 0.66; 95 % CI, 0.58–0.73; n = 3554; Additional file 7: Figure S5B), overall survival (TMPRSS1: log rank, P = 0.0083; HR, 0.73; 95 % CI, 0.57–0.92; n = 1117; Additional file 7: Figure S5C and TMPRSS3: log rank, P = 0.00005; HR, 0.58; 95 % CI, 0.46–0.74; n = 1117; Additional file 7: Figure S5D), and distant metastasis-free survival in breast cancer (TMPRSS1: log rank, P = 0.000099; HR, 0.67; 95 % CI, 0.55–0.82; n = 1609; Additional file 7: Figure S5E and TMPRSS3: log rank, P = 0.0000039; HR, 0.62; 95 % CI, 0.51–0.76; n = 1609; Additional file 7: Figure S5F).
Discussion
This is the first study to link altered TMPRSS3 expression to breast cancer tumor progression and to show that low TMPRSS1 and TMPRSS3 expression, both at the mRNA and protein levels, has prognostic value for poorer survival of breast cancer patients. Importantly, this is also the first cancer study to show that altered TMPRSS3 expression has prognostic value for cancer-related death. In benign breast tumor cells, the expression levels of TMPRSS1 and TMPRSS3 are consistently low, whereas the expression levels are higher in cancer cells. In malignant samples, there was clearly a high degree of intertumor variation in the expression levels of the studied genes. However, our results indicated that despite overexpression in well-differentiated tumors, the expression levels decreased as the tumors acquired more malignant characteristics. Poorly differentiated tumors expressed lower levels of both TMPRSS1 and TMPRSS3. Notably, both mRNA and protein expression levels were associated with the clinical characteristics of breast cancer: Low expression levels predicted poorer survival and increased risk of distant metastasis compared to high expression levels. Low TMPRSS1 and TMPRSS3 expression remained independent factors affecting breast cancer-specific survival in the Cox regression analysis.
These results are consistent with previous studies that reported TMPRSS1 overexpression in various cancers, especially in prostate cancer [10‐14], as well as TMPRSS3 overexpression in pancreatic and ovarian cancers [16, 17]. We found a notable difference in TMPRSS1 and TMPRSS3 mRNA expression between benign samples and grade I malignant tumors in that grade I breast cancer samples expressed considerably higher levels of TMPRSS1 and TMPRSS3 than benign samples. This finding supports the theory that hepsin is related to prostate cancer and suggests that hepsin and TMPRSS3 may also play important roles in the early phases of breast carcinogenesis [32, 33]. Our hepsin and TMPRSS3 immunohistochemical staining results correlated with the mRNA expression results. Specifically, samples with more intense cytoplasmic staining were associated with lower tumor grade and stage, and samples with low expression levels were linked to grade III and stage III and IV tumors. Low mRNA expression levels were common in tumors that did not express hormone receptors but that were HER2-positive. In addition, hepsin expression was low in samples with positive nodal status. In the current study, many of the clinical variables that are generally related to advanced breast tumor progression and higher breast cancer mortality rate were linked with low expression levels of the studied genes [34, 35].
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Our survival results indicated that low expression of both of the studied genes was an independent prognostic factor in breast cancer. Along with positive nodal status and large tumor size (T3, T4), low mRNA expression remained an independent factor for breast cancer survival. Similarly to our results, Dhanasekaran et al. showed previously that low hepsin protein expression in human prostate cancer samples correlated with poor prostate cancer prognosis [36]. In their study, absent or low hepsin immunostaining was dominant in benign samples, whereas hepsin staining was strong in cancer samples. The strongest hepsin staining was in the precursor lesions of prostate cancer (HG-PIN). Yet among cancer samples, absent or low hepsin expression was associated with prostate-specific antigen (PSA) elevation after radical prostatectomy and large tumor size, indicating poorer survival. In contrast, regarding tumor malignancy, high TMPRSS1 mRNA expression correlated with advanced tumor stages in prostate cancer [37]. Roemer et al. showed that in renal cell carcinoma, decreased TMPRSS1 mRNA expression was an independent factor that predicted poorer renal cell carcinoma-specific survival [38]. They suggested that hepsin may be involved in both the early and late development of renal cell carcinoma. However, Betsunoh et al. have observed that hepsin overexpression is associated with poorer renal cell carcinoma survival [39]. In human hepatocellular carcinoma, Chen et al. found that decreased TMPRSS1 mRNA expression predicted shorter survival time [40]. These studies illustrate variations among the different studies; even so, many of these studies are in agreement with our findings.
In this study we have shown that altered TMPRSS1 and TMPRSS3 expressions are associated with the occurrence of relapses and that low TMPRSS3 mRNA and protein expression are independent factors affecting distant metastasis occurrence. Aberrant expression of TTSPs is associated with tumor invasion and metastasis in various epithelial cancers [6, 41]. Supporting our results, Vasioukhin hypothesized that hepsin may promote metastasis in prostate cancer [32]. This hypothesis suggested that in the initial stages of metastasis, hepsin overexpression might stimulate the invasion of primary tumor cells but, once the cells metastasized, hepsin expression would no longer be essential in distant lesions. We found that distant metastases occurred more frequently during follow-up, in patients with low expression levels of the studied genes in primary tumors. This finding supports the theory that distant metastases are more likely to occur once a certain stage in tumor development is reached, and expression of proteolytic serine proteases is needed from primary tumors to achieve that stage. When local breast cancer relapses and distant metastasis were studied together, low TMPRSS3 mRNA and protein expression remained independent factors that affected relapse in the Cox regression analyses. On the other hand, based on prostate cancer cell line studies, Srikantan et al. suggested that hepsin overexpression could have antitumorigenic effects and hinted that hepsin might be involved in some sort of positive feedback response [42]. They suggested that decreased hepsin expression could be linked with poor prostate cancer prognosis as exogenously provided hepsin negatively regulated the growth of metastatic prostate cancer cells. However, the first hepsin expression study in MDA-MB-231 and HER18 breast cancer cell lines showed that low hepsin expression levels reduced cell viability and the colony formation rate [14]. Wittig-Blaich et al. showed in a prostate cancer cell line study that the consequences of increased hepsin expression at the cellular level depend on the cell’s microenvironment, and the authors suggested that hepsin overexpression must be spatially and temporally restricted for the efficient development of tumors and metastases [43]. Taken together, these findings support the theory that, depending on the phase of tumorigenesis and metastasis, hepsin expression might either promote or suppress tumors and metastasis.
Based on their proteolytic activity at the cell surface, TTSPs could contribute to tumor progression by affecting initiation of the metastatic process in primary breast cancer tumors. Several substrates for hepsin have been linked to epithelial carcinogenesis, including HGF and uPA. Hepsin and another TTSP, matriptase, efficiently convert inactive pro-HGF to biologically active HGF that, in turn, activates the HGF receptor c-Met [21, 22]. This leads to basement membrane disorganization. Abnormal activation of the HGF/c-Met signaling pathway by aberrant hepsin overexpression is a possible mechanism for the enhancement of tumor progression. In addition, hepsin converts potently pro-uPA into active uPA, which initiates the degradation of ECM by cleaving plasminogen into plasmin [23]. Hepsin may also directly contribute to tumor progression and metastasis by causing defects in cell junctions. Miao et al. showed in human and mouse ovarian cancer cell line studies that hepsin overexpression contributes to ovarian cancer progression via cell membrane interactions with desmosomes [44]. By immunofluorescence they showed that, in addition to cytoplasm hepsin co-localizes with desmosomes at the cell junctions; further, intact desmosomes are required for the membrane localization of hepsin. Supporting these findings, Partanen et al. recently reported that hepsin partially co-localizes with the desmosomal junction protein desmoplakin and, in breast cancer, the two proteins no longer co-localize when lkb1 expression is lost [25]. Notably, loss of lkb1 causes hepsin to relocalize from desmosomes to cytoplasm. Taken together, these studies indicate that the mislocalization and overexpression of hepsin could potentially initiate basement membrane degradation and lead to tumor cell invasion.
The limitations of our study include that TMPRSS3 expression in cancer has not nearly been studied as extensively as the expression of TMPRSS1. More work needs to be done to study the biological role of TMPRSS3 in cancer. Nonetheless, our study presents in a coherent clinical breast cancer sample set that TMPRSS3 is a credible prognostic biomarker. In contrast to our results, a previous study presented that hepsin overexpression was associated with positive nodal status and tumor stage in breast cancer [14]. However, no survival analyses were done in that study and the analysis methods were different. In addition, to validate our results and the prognostic value of the studied genes in a large clinical breast cancer microarray database, we used an online Kaplan-Meier survival analysis tool [31]. Similar to our study, in these analyses the cohorts were divided into two groups according to the median expression of TMPRSS1 and TMPRSS3. Based on the survival curves displayed and the logrank P values both low TMPRSS1 and TMPRSS3 expression significantly associated with poorer relapse-free survival, overall survival, and distant metastasis-free survival [31]. To sum up, the survival trend was exactly alike compared to our results.
When the treatment data was included in the multivariate survival analyses, low TMPRSS1 mRNA expression remained an independent factor of poor prognosis in patients who were treated with radiotherapy. It must be highlighted that low TMPRSS1 expression remained the only significant variable regarding prognosis which excludes for example poor differentiation level of breast cancer cells in these analyses. Furthermore, no significant results were found in patients who were not given any adjuvant therapies. When TMPRSS1 expression level is higher and epithelial integrity is still rather intact it might be that radiation induced cellular lethality is much more aggressive in breast cancer cells. However, when TMPRSS1 expression is low and epithelial integrity already damaged it appears that the remaining breast cancer cells are radioresistant leading to these cells surviving which has negative impact on the clinical outcome. Our results indicate that low TMPRSS1 expression may independently reduce the therapeutic function of radiation yet the specific cellular mechanisms remain unclear. Interestingly, Nakamura et al. showed in an endometrial cancer cell line study that hepsin overexpression resulted in significant cell accumulation at the G2/M phase leading to cell cycle arrest [45]. Cancer cells in general are thought to be the most radiotherapy sensitive exactly at the G2/M phase [46]. These previous studies comply our results even though our significant results are related to mRNA expression and in breast cancer tumor samples. In a previous study of our group we found several TMPRSS1 and TMPRSS3 SNP genotypes that associated with survival in patients treated with radiotherapy [26]. We have planned to study in the future the potential associations between our current results with the ones from our SNP study.
The combinations of low expression levels of mRNA and protein were independent factors that predicted poor survival. This suggests that TTSPs are prognostic biomarkers for breast cancer. Matriptase (encoded by the ST14 gene) is a TTSP that, similar to hepsin, can activate pro-HGF. A recent study showed that hepsin and matriptase are direct pericellular activators of pro-HGF and hypothesized that their suggested ability to autoactivate might be the initial step in HGF/c-Met-mediated basement membrane degradation [47]. Our previous study of matriptase expression in breast cancer resulted in conclusions that were similar to those in the present study in that low matriptase expression was associated with poorer breast cancer survival [27]. However, others have reported the opposite and other studies of matriptase expression in breast cancer have not given consistent results [48]. Notably, since matriptase and hepsin have identical substrates and since both have possible tumor progression and metastasis-promoting activities, further studies of TMPRSS3 are needed to better understand its functions and substrates. Structurally, TMPRSS3 is almost identical to hepsin, and here we have shown that their mRNA and protein expression patterns are very similar in different phases of breast carcinogenesis and correlate with breast cancer prognosis. Co-expression of these proteolytic serine proteases could enhance their effects on tumor cell invasion and metastasis.
Conclusions
In closing, this study expands our knowledge of the biological processes behind breast cancer by investigating hepsin and TMPRSS3 expression in human breast tumors. Low mRNA and protein expression levels of the studied TTSPs were prognostic markers of poor survival in breast cancer. Furthermore, low TMPRSS1 mRNA expression is an independent marker of poor clinical outcome in patients treated with radiotherapy. We think that our results give emphasis to the role of altered expression of hepsin and TMPRSS3 in promoting breast tumor progression and metastasis as their role in breast cancer is still rather unexplored. The results showed that both TTSPs have potential as prognostic biomarkers.
Acknowledgments
We thank Helena Kemiläinen, Eija Myöhänen and Jaana Hoffrén (MHS) for skillful technical assistance. The Kuopio Breast Cancer Project (KBCP) was financially supported by the special Government Funding (EVO) of Kuopio University Hospital Grants, the Cancer Fund of Northern Savo, the Finnish Cancer Organizations, the Academy of Finland and by the strategic fund of the University of Eastern Finland. The funding sources had no involvement in the study design, in the collection, analysis and interpretation of data or in the writing of the report.
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The authors declare that they have no competing interests.
Authors’ contributions
MP, VK, V-MK and AM contributed to the conception and design of the study. MT, VK, VM-K and AM were involved in the acquisition of data. MP, KL, MT, HA, BB, YS and AM participated in the analysis and interpretation of data. MP, MT and BB drafted the manuscript. MP, KL, MT, BB, V-MK and AM contributed to the revision of the manuscript. HA and YS provided technical and material support. VK, V-MK and AM provided administrative support. KL, V-MK and AM contributed to the supervision of the study. All authors read and approved the final manuscript.
