Abstract
Objective
Pregnancy-associated plasma protein-A (PAPP-A) is a zinc metalloproteinase in the insulin-like growth factor system that is expressed by tissues outside of pregnancy and involved in normal and dysregulated growth. PAPP-A has been implicated in several cancers. However, studies of PAPP-A expression in breast cancer are limited. In this study, we assessed PAPP-A expression in different subtypes of human malignant breast cancer.
Design
Formalin-fixed paraffin-embedded tumor samples from 46 female patients with invasive breast cancer were divided into five defined groups [using markers for HER2, estrogen receptor, progesterone receptor, proliferation] that roughly correlate with molecularly defined subtypes (luminal A, luminal B, luminal/HER2+, HER2+, triple negative). These samples were analyzed for PAPP-A expression by immunohistochemistry.
Results
PAPP-A staining in tumor tissue was detected in 45 of 46 specimens. There was significantly greater extent and intensity of PAPP-A expression in luminal B specimens with high proliferation index than luminal A specimens (P = 0.01). However, there were no differences between specimens positive or negative for HER2 (P = 0.14) or positive and negative for estrogen receptor (P = 0.31).
Conclusion
PAPP-A was detected in almost all breast cancer specimens and a more intense and greater extent of its expression was associated with luminal B specimens compared to luminal A specimens. The role of PAPP-A in breast cancer prognosis, and possibly therapeutics, warrants further investigation.
Keywords: pregnancy-associated plasma protein-A, breast cancer, immunohistochemistry
INTRODUCTION
Pregnancy-associated plasma protein-A (PAPP-A) was originally discovered as one of four proteins found at high levels in late-term plasma of pregnant women [1]. More recently, PAPP-A has been shown to be expressed by multiple tissues and to play additional roles outside of pregnancy [reviewed in 2]. PAPP-A is the founding member of a metzincin subfamily (pappalysins), functioning as an important regulator of local insulin-like growth factor (IGF) availability for receptor binding and activation [2]. IGF receptor signaling strongly influences cancer growth and metastases [3]. However, very little is known about PAPP-A expression in cancer. PAPP-A was found to be elevated in subsets of patients with lung and ovarian cancer [4,5], and overexpression of PAPP-A by a human ovarian cancer cell line was shown to have increased tumor aggressiveness in vivo [6]. Down-regulation of PAPP-A expression decreased lung and ovarian cancer growth in vivo [7,8]. Furthermore, PAPP-A has been identified as a potential target for malignant pleural mesothelioma [9]. Studies of PAPP-A in human breast cancer, subsets of which are IGF-responsive [10], are limited. There is some evidence that PAPP-A plays a role in promoting breast cancer progression [11,12]. However, a recent study suggested that PAPP-A is epigenetically silenced in human breast cancer [13]. In this study, we determined PAPP-A expression by immunohistochemistry in defined subtypes of malignant human breast cancer.
METHODS
Immunohistochemistry (IHC)
Formalin-fixed paraffin-embedded samples from 46 patients with a pathologically proven diagnosis of breast cancer, and who had consented to the use of their tissue in the Mayo Clinic Breast SPORE tissue bank, were selected for this study. Samples were processed as previously described [14,15]. Briefly, paraffin-embedded formalin-fixed tissue blocks were cut at 5 µm and deparaffinized in xylene and rehydrated in a graded series of ethanol. Antigen retrieval was performed with citric acid. Specimens were incubated in methanol with 3% hydrogen peroxide for 30 minutes to block endogenous peroxidase activity then washed with Tris-buffered saline (pH 7.4). Sections were incubated with recombinant anti-human PAPP-A monoclonal antibody [16] 2 µg/ml at room temperature for one hour after blocking for non-discriminant antibody:protein binding (Protein Block, Dako, Carpinteria, CA). After washing, sections were incubated with a secondary antibody and visualized with Novo Red substrate (Vector Laboratories, Burlingame, CA). Negative controls (omission of primary antibody) and positive controls (placenta) were included to ensure quality and specificity of staining. The malignant cells were scored by a pathologist (DWV) based on the percent of positively-stained cells, and the intensity of the staining (weak = 1, medium = 2, strong = 3, intensity of positively-stained cells relative to positively-stained placental controls). The product of the percent of positively-stained cells and the intensity score times 100 was calculated for each specimen and used for comparisons between groups.
Classification
Patient tumors included in this study were divided into five immunohistochemically-defined groups [estrogen receptor (ER), progesterone receptor (PR), HER2, proliferation (Ki67)] that roughly correlate with molecularly-defined subtypes [17]. Specimens that were ER+/PR+/HER2−/Ki67 low (less than 13.5%) were classified as luminal A; specimens that were ER+/PR + or −/HER2−/Ki67 high (greater than or equal to 13.5%) were classified as luminal B, specimens that were ER+/PR+ or −/HER2+ were classified as luminal/HER2+; specimens that were ER−/HER2+ were classified as HER2+, and patients that were ER− (less than 1% nuclear staining)/PR−/HER2− were classified as basal-like/triple negative.
Statistics
The product of the percent of positively-stained cells, the intensity score and 100 was compared between groups using Kruskal-Wallis one-way analysis of variance. Pearson’s chi squared test was used to compare the distributions of the percent of positively-stained cells between the classification groups. These tests were used to determine if our null hypothesis that there was no difference in PAPP-A staining between breast cancer subtypes was correct. JMP 9.0.3 (SAS Institute, Inc. Cary, NC) was used for all tests. Graphs were made with Prism 6 (GraphPad Software, Inc. La Jolla, CA).
RESULTS
There were 46 specimens available for review, and PAPP-A protein expression (Figure 1 and Tables 1–2) was detected in 45 of these (98%). Representative IHCs are presented in Figure 2. There was a significant difference in the product of the percent of positively-stained malignant cells and the intensity when comparing all groups (P = 0.019). The luminal A specimens had a significantly lower product [median 120, interquartile range (IQR) 25–160] than the luminal B specimens (median 200, IQR 150–278; P = 0.01). There was no significant difference in the product of PAPP-A expression between all HER2− (n = 26; median product 160, interquartile range 95–202.5) and HER2+ patients (n = 20; median product 195, interquartile range 100–300; P = 0.14), between all ER− (n = 18; median product 190, interquartile range 95–300) and ER+ patients (n = 28; median product 160, interquartile range 100–210; P = 0.31), or between grades (I–III; P = 0.52). Almost no staining was detected in non-malignant tissue.
Table 1.
Age (years; median, interquartile range) | 59 (50–67) | |
Histology (n, %) | ||
Infiltrating Ductal Carcinoma | 39 (81%) | |
Infiltrating Lobular Carcinoma | 4 (8%) | |
Mixed | 3 (6%) | |
ER (n, %) | ||
positive | 29 (63%) | |
negative | 17 (37%) | |
HER2 (n, %) | ||
positive | 20 (43%) | |
negative | 26 (57%) | |
Ki67 (%, median, interquartile range) | 25 (9–43) | |
Grade | ||
1 | 7 | |
2 | 15 | |
3 | 20 | |
Not reported | 4 | |
Stage* | ||
0 | 2 (4%) | |
1 | 19 (40%) | |
2 | 13 (27%) | |
3 | 6 (13%) | |
4 | 8 (17%) |
Total not equal 100% due to rounding
Table 2.
ER−/PR− /HER2− |
ER+/PR+ /HER2− /Ki67 low |
ER+/PR+ /HER2− /Ki67 high |
ER+/PR+/ HER2+ |
ER−/PR− /HER2+ |
||
---|---|---|---|---|---|---|
n | 7 | 9 | 10 | 9 | 11 | |
Intensity n (%) | ||||||
none | 1 (11%) | |||||
weak | 1 (14%) | 3 (33%) | 1 (11%) | 1 (9%) | ||
moderate | 4 (57%) | 4 (44%) | 6 (60%) | 3 (33%) | 3 (27%) | |
strong | 2 (29%) | 1 (11%) | 4 (40%) | 5 (56%) | 7 (64%) | |
% positive* | 70 (50–90) | 60 (25–80) | 95 (67.5–100) | 70 (50–85) | 90 (60–100) | |
Product* | 160 (80–210) | 120 (25–160) | 200 (150–278) | 180 (100–255) | 270 (120–300) |
The medians, with the interquartile ranges in parentheses, are reported in the table for the percent of positively-stained cells and the product of the intensity and percent of positively-stained cells. The product of the percent of positively-stained cells and the intensity score times 100 was calculated for each specimen and used for comparisons between groups.
DISCUSSION
Specific PAPP-A immunostaining was found in 45 of 46 individual patient breast cancer specimens, including luminal A, luminal B, luminal/HER2+, HER2+, and triple negative subtypes. PAPP-A was overexpressed in the luminal B group with a high proliferation index when compared to the luminal A group. Although the average highest staining for PAPP-A was observed in HER2 subtypes, there was no statistically significant difference in expression between this and other subtypes due to the wide distribution of staining in this subtype. Thus, PAPP-A is expressed in human breast cancer and may be associated with a more aggressive phenotype, as luminal B is associated with worse survival than luminal A [18].
Very little is known about PAPP-A in human breast cancer. An early study suggested that PAPP-A tumor immunopositivity was associated with early recurrence in patients with stage I breast cancer [11]. It was later reported that the polyclonal antibody in that study recognizes other antigens, in particular haptoglobin-related protein [19]. Therefore, it was unclear whether the immunoreactivity in malignant cells was associated with PAPP-A or other co-purifying proteins during antibody generation. In contrast, the antibody we used for immunostaining is a well-characterized and specific monoclonal antibody [16], which adds confidence to our results. However, larger studies might clarify differences in expression between subtypes of breast cancer.
Our data showing intense immunostaining for PAPP-A protein associated with aggressive forms of breast cancer seemingly conflict with those of Loddo et al. [13]. In their study, loss of PAPP-A through epigenetic silencing was associated with mitotic delay in the genesis of breast cancer. The reason for the differential findings is unclear, but may depend on the stage of breast cancer development and progression. In other studies relevant to PAPP-A and breast cancer, infants exposed to high maternal concentrations of PAPP-A during pregnancy were reported to have an increased future risk of breast cancer development [20], and increased PAPP-A mRNA expression was found in breast cancer cell lines expressing mutant p53 [21].
IGF signaling is involved with tumorigenesis [22], and several studies have shown a correlation between IGF receptor expression and breast cancer aggressiveness [10]. Clinical trials targeting IGF receptor have been disappointing as there is no clear biomarker for patient selection [23]. We did not investigate the expression of IGF receptor or other related markers in this study, although any associations with PAPP-A expression would be interesting. The described role of PAPP-A in regulating local IGF availability for receptor binding and activation and its high degree of expression in breast cancer suggests PAPP-A might be a predictive biomarker for anti-PAPP-A therapies. As PAPP-A can be targeted [24], these investigations should be pursued as well.
In summary, PAPP-A expression was detected in almost all breast cancer specimens. There was more extensive and intense PAPP-A expression in luminal B than in luminal A specimens. The role of PAPP-A in breast cancer and its potential as a therapeutic target warrants further study.
HIGHLIGHTS.
PAPP-A expression was assessed by immunohistochemistry in human breast cancer
Specific staining for PAPP-A was found in almost all breast cancer specimens
The extent and intensity of staining was greater in the more aggressive subtypes
ACKNOWLEDGMENTS
The authors wish to thank Sean C. Harrington for excellent technical assistance and Hanne M. Lucier for help with manuscript submission.
Research reported in this publication was supported by the National Cancer Institute of the National Institutes of Health under award number P50CA 116201, and an unrestricted research grant from Ansh Labs (to CAC). The content is solely the responsibility of the authors and does not necessarily represent the official view of the National Institutes of Health. The funding sources had no involvement in study design; in the collection, analysis and interpretation of data; in the writing of the report; or in the decision to submit the article for publication.
Footnotes
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Contributor Information
Aaron S. Mansfield, Email: Mansfield.Aaron@mayo.edu.
Daniel W. Visscher, Email: Visscher.Daniel@mayo.edu.
Steven N. Hart, Email: Hart.Steven@mayo.edu.
Chen Wang, Email: Wang.Chen@mayo.edu.
Matthew P. Goetz, Email: Goetz.Matthew@mayo.edu.
Claus Oxvig, Email: co@mb.au.dk.
Cheryl A. Conover, Email: Conover.Cheryl@mayo.edu.
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