- Research article
- Open Access
Impact of uPA/PAI-1 and disseminated cytokeratin-positive cells in breast cancer
BMC Cancer volume 19, Article number: 692 (2019)
The protease uPA and its inhibitor PAI-1 play major roles in hemostasis and are also involved in cancer progression. This is mainly caused by their ability to degrade extracellular matrix-facilitating tumor cell migration. This study aimed to investigate the impact of uPA/PAI-1 and disseminated cytokeratin-positive cells (dCK+) on the outcome and the existence of synergistic effects.
We retrospectively analyzed a cohort of 480 breast cancer cases with known uPA/PAI-1 and dCK+ status. uPA/PAI-1 was tested on fresh tumor samples using a commercial ELISA test. Bone marrow aspirates were investigated immunocytochemically for CK18.
DCK+ cells were identified in 23% of cases. uPA positivity was significantly associated with the occurrence of dCK+ cells (P = 0.028). uPA and PAI-1 were significantly associated with outcome in the subgroup of early-stage cases without chemotherapy. DCK+ cells alone were not prognostic. However, we found synergistic effects. In the subgroup of node-negative cases with and without chemotherapy, the prognostic impact of uPA and PAI-1 was enhanced in cases with additional dCK-positivity (triple +). In cases without chemotherapy, triple-positive status was independently prognostic (HR: 9.3 CI: 1.1–75) next to T stage.
uPA and PAI-1 seem to influence the metastatic potential of dCK+ cells, which underlines its important role in tumor progression.
Breast cancer is the most common malignant tumor and the leading cause of cancer-related death in females in Germany . Prognosis estimation and therapy stratification are mainly based on tumor grade, stage, hormone receptor status, HER2 status, and proliferation rate . Next to those well-established prognostic and predictive markers, several new approaches have been pursued to further improve the prediction of outcome and therapy response in early breast cancer stages. Several multigene assays for fresh and formalin-fixed paraffin-embedded (FFPE) tissue samples have been developed and integrated into clinical practice . The individual immune response has also gained increasing attention in breast cancer as it has in many other entities. Both outcome and response to chemotherapy are influenced by the microenvironment. Denkert al. showed that the extent of tumor-infiltrating lymphocytes is associated with the response to neoadjuvant chemotherapy . Cytotoxic T-cells play an important role in tumor surveillance. The ability of tumors to escape from this surveillance is one of the hallmarks of cancer defined by Hanahan and Weinberg . Matrix degradation is another way to facilitate tumor progression. In this context, the plasminogen/plasmin system has an important function. This system consists of several components, including uPA, which promotes the activation of plasminogen to plasmin, and the uPA-receptor (uPAR) as well as PAI-1 and PAI-2, which function as inhibitors of uPA. uPA, uPAR, and PAI-1 have been found to be important prognostic and predictive biomarkers of tumor progression. Next to their function in matrix degradation, several additional effects, such as activation of proliferation, anti-apoptosis, and angiogenesis have been discovered. This is very likely the reason for the adverse effect of PAI-1 that otherwise would be expected to be cancer suppressive. The prognostic relevance of the plasminogen/plasmin system has been reported in many cancer entities . However, only in breast cancer has the evidence reached a sufficient level for general recommendations regarding its clinical use . High levels of matrix-degrading proteases promote tumor cell migration and dissemination. Circulating tumor cells in the blood stream or disseminated cells in the bone marrow are believed to be the origin of distant metastases. Therefore, their detection can serve as biomarkers indicating an increased risk of disease progression. While testing of circulating tumor cells has not yet been introduced into the clinical routine, many studies have shown its clinical relevance in several cancer entities, including breast cancer. In the latter, it was shown to be prognostic and helpful in monitoring the response of adjuvant therapy . Given the function of proteases in cancer, an association between the level of uPA and PAI-1 and the occurrence of disseminated tumor cells could be assumed. The aim of this retrospective study was to evaluate the relationship and potential interaction of the biomarkers uPA/PAI and disseminated cytokeratin-positive (dCK+) cells in the bone marrow.
Patients with breast cancer treated in the Klinikum Augsburg between 1999 and 2010 were included in this study. Bone marrow aspiration by puncture of both iliac bones was performed in all patients in the operating room right before lumpectomy or mastectomy, respectively. Informed and written consent for this procedure was obtained from all patients. Follow-up data were provided by the clinical and population-based cancer registry of Augsburg. Additional information, including data concerning adjuvant therapy, were obtained from the clinical files which were screened for each patient. Neoadjuvant chemotherapy was a criterion of exclusion. The study was approved by the internal review board of the Klinikum Augsburg. Raw data are available from an open repository.
Immunocytochemical evaluation of circulating CK+ cells in the bone marrow
The samples were processed immediately after bone marrow aspiration. The technique has been described previously. In brief, the protocol for preparing the cytological samples was initially established for the detection of CK+ cells in bone marrow aspirates [9, 10]. The mononuclear cells were separated by Ficoll–Hypaque density gradient centrifugation (density, 1.077 g per mole) at 900×g for 30 min. The cells were then washed and centrifuged at 150×g for 5 min. Approximately 1 × 106 cells were placed on each glass slide.
To detect epithelial cells within the peripheral blood, a monoclonal antibody against cytokeratin 18 (Clone CK18 (Clone CK2), 1: 100; Chemicon, Hofheim, Germany) was used. The reactions were developed with the alkaline phosphatase anti–alkaline phosphatase (APAAP) technique combined with a new fuchsin stain to indicate antibody binding, as previously described [9, 10]. CK+ cells and clusters were counted manually (Fig. 1). All slides were screened by an experienced technician. All positive cases were confirmed by a hemato-oncologist (DO). Data concerning interobserver agreement between these two investigators are not available.
uPA/PAI-1 ELISA testing
The lumpectomy or mastectomy specimens were brought to the laboratory of the pathology department immediately after resection without time delay. Representative samples were obtained from the fresh specimens after thinly slicing, based on macroscopic and palpatory examination. Attention was paid to avoid sampling areas with or near core biopsy defect. For the evaluation of the tissue levels of uPA/PAI-1, a commercial enzyme-linked immune sorbent assay (ELISA) test (Femtelle Test (EF 899), Sekisui Diagnostics, Stamford, CT) was used. The test was conducted according to the protocol recommended by the manufacturer and has been described previously . In brief, frozen tissue samples were disrupted by mechanical force under permanent cooling. Tris-Buffer, supplemented with the non-ionic detergent Triton X-100, was used to extract the tumor cell cytosol. The suspensions were centrifuged to separate the soluble fractions from the cell debris. The total protein concentrations of the cytosolic fractions were measured. On day 2, a diluted tissue extract was added to antibody-coated microwells and incubated overnight. On day 3, detection antibodies were added and incubated. After another incubation step with the enzyme conjugates, the reactions were stopped with 0.5 M of H2SO4, and the absorption of the solution was measured using a microwell reader at 450 nm. The levels of uPA and PAI-1 were expressed in nanograms per milligram (ng/mg) of tumor protein. The cut-off-level for uPA and PAI-1 were 3 and 14 ng/mg protein, respectively, which are the same cut-offs routinely used in clinical settings . Cases with values under the cut-offs were classified as negative and all others as positive.
uPA and PAI values were categorized as positive and negative based on the defined cut-offs (3 and 14 ng/mg protein, respectively). All calculations were performed using those dichotomized values.
The Mann-Whitney rank sum test was used to compare numeric values. Correlations were calculated with Pearson Product Correlation. Tabulated data were compared using the chi-squared (χ2) test. For the survival analysis, Kaplan-Meier curves were calculated, and differences were analyzed with the log-rank test. The mean overall survival times were calculated because the median survival was not reached in most analyses. For the determination of the median follow-up time, the method of Schemper and Smith  was used. The Cox regression proportional hazards model was used for the multivariate analysis of cancer-specific analysis. All calculations were performed using the Sigma Plot 13.0 software package (Systat, Richmond, VA, USA). P-values < 0.05 were considered significant. For the survival analyses, we calculated additional thresholds considering the issue of multiple testing using the procedure of Bonferroni-Holm .
Patients and correlations with clinico-pathological factors
The case characteristics are summarized in Table 1. A total of 480 patients primarily diagnosed and treated between 1999 and 2010 were included, with 80% of the cases from the years 2003 to 2006. The median follow-up time was 81 months (CI: 76–86 months). Presence of dCK+ cells was associated with the occurrence of lymph node metastases (P < 0.005). There was a trend toward a higher rate of dCK+ cells with increasing pT-stage (P = 0.100). uPA and PAI-1 levels were significantly associated with grade (P < 0.001 and P < 0.007) and progesterone receptor negativity (P = 0.01 and P = 0.023). uPA also showed an association with estrogen receptor negativity (P = 0.04), while PAI-1 showed only a trend in this direction (P = 0.06). Furthermore, a significant correlation with HER2 positivity was found for PAI-1 (P = 0.022).
According to national AGO guidelines, chemotherapy was administered in a high frequency in cases with elevated uPA and PAI-1 levels (P < 0.01 and P < 0.009). Nevertheless, there was a considerable number of patients who did not receive chemotherapy despite elevated protease levels (52 and 81 patients).
Correlation of proteases and dCK+ cells with survival
Analyzing the whole cohort (n = 480), we identified an association between uPA, grading, and dCK+ cells with dCK+ rates of 18.8% vs 27.7% in uPA-negative and -positive cases, respectively (P = 0.028; BHST 0.013). There was a trend toward reduced overall survival in patients with high PAI-1 levels with mean overall survival times of 112 months (CI: 104–119 months) versus 118 months (CI: 111–126 months); (P = 0.128 BHST 0.006). Neither uPA- nor dCK+ cell analysis was prognostic with identical Kaplan-Meier curves for positive and negative cases.
Cases with chemotherapy
In cases with administered chemotherapy (N = 291), neither the proteases nor dCK+ cells were prognostic. Also, cases with triple positivity of uPA, PAI-1 and dCK+ cells did not show a different outcome compared to the other constellations.
This subgroup comprised 249 cases. Again, a trend towards impaired outcome was seen in cases with PAI-1 positivity with mean overall survival times of 114 months (CI: 111–126 months) and 126 months (CI: 117–135 months) (P = 0.081 BHST 0.007). A marginally significantly different overall survival was found in uPA-negative versus -positive cases with mean survival times of 123 months (CI: 116–130 months) and 108 months (CI: 100–116 months) (P = 0.065 BHST 0.008). The identification of dCK+ cells was not prognostic (Fig. 2a). However, a significant difference, was found when comparing triple negative cases versus PAI-1-negative versus PAI-1-positive cases with uPA- and PAI-1- positivity (double positive) versus uPA-, PAI-1- and dCK+ cell positivity (triple-positive) (P = 0.022 BHST 0.01) with mean survival times of 127 months (Cl: 116–138 months), 126 months (CI: 117–135 months) (P = 0.045 BHST 0.01), 107 months (CI: 98–116 months), 115 months (CI: 108–122 months), and 90 months (CI: 75–105 months) (Fig. 2b). Pairwise Multiple Comparison Procedures (Holm-Sidak method) revealed significant differences between triple positive cases and PAI-negative cases (P = 0.014) and triple negative cases (P = 0.036). All other combinations, especially the comparison between double and triple positive cases were not significant.
Node-negative cases without chemotherapy
In locally limited tumors without nodal involvement and without known administration of adjuvant chemotherapy, both proteases were highly significant prognostic factors for overall survival (uPA: positive vs negative 91 months (CI: 78–103 months) vs 119 months (CI: 108–129 months); P = 0.006 (BHST 0.017) (Fig. 3a); (PAI-1: positive vs negative 94 months (CI: 84–103 months) vs 125 months (CI: 114–136 months); P = 0.004 BHST 0.025 (Fig. 3b). Disseminated CK+ cells alone were not found to be prognostic in this subgroup (dCK+ cells: positive vs negative 90 months (CI: 89–120 months) vs 112 months (CI: 101–122 months); P = 0.617 (Fig. 3c). However, triple-positive (PAI-1, uPA, dCK+ cells) cases show a significantly (P = 0.002 BHST 0.05) worse outcome compared to cases with less than three positive factors with mean overall survival times of 76 months (CI: 56–98 months) vs 114 (CI: 105–123 months) (Fig. 3d). Pairwise multiple comparison procedures (Holm-Sidak method) revealed only a significant difference between the groups triple positive and one or none positive marker (P = 0.001), all other combinations were not significantly different. The survival was also shorter compared to cases with elevation of both proteases. However, this difference did not reach significance. Including PAI-1, uPA, dCK+ cells, T-stage, and grade into a multivariate analysis revealed T-stage (HR: 3.4 CI: 1.6–7.2) and triple positivity (HR: 9.3 CI: 1.1–75) as independent prognostic factors.
In this study, we retrospectively evaluated the relationship between and the potential interaction of uPA and PAI-1, which are two members of the plasminogen/plasmin system, and the occurrence of dCK + cells in in a cohort of 481 breast cancer cases. uPA and PAI-1 testing for therapy decisions in early breast cancer has been recommended for its routine use in early-stage invasive breast cancer by the American Society of Clinical Oncology  as well as the German AGO guidelines . There are several approaches to evaluate the different factors of the plasmin/plasminogen system. These include immunohistochemical, ELISA- and reverse transcription polymerase chain reaction (RT-PCR) techniques. In the context of cancer, plasma and tumor tissue as well as tumor cells can be evaluated. For this study, a commercial ELISA test that found broad clinical acceptance analyzing fresh tumor tissue was used [15, 16]. This guaranteed a standardized evaluation. Despite this, the adherence to adjuvant chemotherapy in cases of elevated proteinases was low, with approximately 25% cases without adjuvant therapy in the high-risk groups (Table 1). Recently, we and others evaluated the effect of proteinases and multigene-assay testing on therapy decisions and concordantly found a lower impact of proteinase testing [17, 18]. We have no data elucidating the reason for that. One reason might be that the proportion of high-risk cases is rather high, and clinicians may be concerned that the risks due to adjuvant therapy might be higher than the acceptable benefits.
For the evaluation of circulating tumor cells, many different techniques have been developed. This concerns techniques of detection as well as the evaluated compartment of peripheral blood versus bone marrow. We used immunocytochemistry to detect cytokeratin 18-positive epithelial cells . The technique of immunohistochemistry (CK18) based was well established in our laboratory and revealed reliable results [9, 19]. Using the same technique in colon specimens, we also detected positive cells in benign cases with diverticulitis . Therefore, we think it is appropriate to avoid referring to these cells as tumor cells instead of dCK+ cells. Twenty-three percent of the cases in our collective were dCK+. This is a slightly lower rate compared to the pooled analysis including 4703 patients with a positivity rate of 30.6%. The positivity rate in this study, however, differed considerably between the contributing centers from 12.4 to 43.9%. Because of the availability of new methods and generally easier access, more recently performed studies have focused on CTC detection in peripheral blood. The detection rates in peripheral blood using modern techniques, such as the CellSearch™ system, RT-PCR, or immunofluorescence staining [8, 21], and evaluation of bone marrow and peripheral blood have yielded conflicting results. Schindlbeck et al. found comparable results when analyzing samples of peripheral blood and bone marrow . Molloy et al. reported an additional adverse prognostic effect in cases in which tumor cells in both compartments were detected . Only a weak concordance between blood and bone marrow samples was reported by Fehm et al. .
The plasminogen/plasmin system plays a crucial role in the degradation of several proteins, including fibrin, which leads to the dissolution of fibrin clots. Through cleavage, uPA activates plasminogen to plasmin, and PAI-1 is the physiological inhibitor in this context. Next to its function in fibrinolysis, this system is of high importance for the process of wound healing, which is the next step of repair after an injury. Here PAI-1 is not just an inhibitor of uPA, but an active player with distinct functions . At least to some extent, cancer progression can be understood as a misdirected form of wound healing processes. The ability of uPA to degrade extracellular matrix is believed to facilitate tumor cell migration [26, 27]. Therefore, we assumed an association between uPA tissue levels and the occurrence of dCK+ cells. Indeed, we have identified such a relationship with a significantly higher rate (18.8% vs 27.7%) of dCK+ positivity in uPA-positive cases (P = 0.028). Such an effect was also found for PAI-1, but it was considerably lower (20.1% vs 24.2%) and did not reach significance. During wound healing, PAI-1 is expressed at the edge of an injury, stimulating attachment-detachment-reattachment processes [25, 28]. For detachment and cell migration, interaction between PAI-1 and uPA and its receptor uPAR and the lipoprotein receptor-related protein 1 (LRP1) is needed. This is a complex system, and our data may indicate that uPA plays an especially important role in the detachment of tumor cells and tumor migration. To our knowledge, only a few studies have addressed the topic of interaction between uPA/aPAR or PAI-1 with circulating tumor cells [29,30,31]. Mego et al. and Thomas et al. reported in concordance to our results associations between uPA and the occurrence of circulating tumor cells [29, 30]. Meng et al. found an association between HER2-postivitiy and uPA-expression on circulating tumor cells . We found a trend toward a higher HER2-positivity in uPA-positive cases and a significant association with PAI-1 positivity (Table 1). Association with circulating tumor cells and HER2 indicate an adverse effect. The prognostic significance of uPA/PAI in tumor tissue has been confirmed in several studies [16, 32, 33]. However, we emphasize that it was not the main goal of our study to re-evaluate the prognostic relevance of uPA/PAI-1. We therefore evaluated uPA and PAI-1 separately. In our case series, we found a clear trend toward poor overall survival in PAI-1-positive cases when we analyzed the whole collective. In the subgroup of node-negative cases, PAI-1 (P = 0.081) and uPA (P = 0,031) showed prognostic relevance regarding overall survival. This prognostic effect was much stronger in the subgroup of node-negative cases without chemotherapy which is in accordance with the literature . This is also in agreement with prior evidence [16, 34] indicating that patients in early breast cancer stages and those with elevated proteases benefit from adjuvant chemotherapy. The presence of dCK+ cells was associated with nodal status and by trend with tumor size. However, it was not prognostic concerning overall survival regardless of nodal status and application of adjuvant chemotherapy. This is in contrast to data from the literature using the same method of cell detection [9, 19, 35]. The main difference compared to the most previously published studies is the choice of endpoint. Because of the retrospective design, we have chosen overall survival, while many other used disease-free or tumor-specific survival, which might be more precise and therefore ideal for a prospective approach. However, we possibly identified an additive effect when dCK+ cells were identified in cases with uPA/PAI-1 positivity. This finding must be considered with caution because the difference between double and triple positive cases lacked significance. In node-negative cases without chemotherapy, triple positivity (uPA+; PAI-1+, dCK+) and T-stage were the only independent prognostic factors. This could indicate that uPA and PAI-1 not only facilitate detachment and migration of tumor cells but may also help those cells to persist within the bloodstream and bone marrow and to develop distant metastases. PAI-1 promotes angiopoesis and inhibits p53-induced apoptosis , two major hallmarks of cancer. Activation of invasion, a third hallmark, has been mentioned above . Fibrin is believed to protect cancer cells from immune surveillance, which displays the fourth hallmark. Because PAI-1 inhibits fibrinolysis, this is very likely to also promote metastases formation [27, 37]. Additionally, uPA/uPAR are mitogenic which is the 5th hallmark . This broad and very complex interaction between uPA, PAI-1, and dCK+ cells could explain the observed additive and maybe even synergistic effects of those three factors regarding outcomes of patients in early breast cancer stages. However, this hypothesis has not been proven by the data of this study and requires further evaluation.
This study is limited by its retrospective design. In this context, the results of the bone marrow evaluation could not be re-evaluated, and we do not have data concerning the interobserver agreement of the two investigators. Being unable to control and/or monitor the different factors that may influence such a complex system makes it difficult to draw definitive conclusions. Although our complete collective comprises a relatively large number of patients with a considerable follow-up, the need to analyze subgroups makes this collective still rather small. A further limitation is the missing availability of further biomaterial for additional analyses like co-expression of different markers on dCK+ cells. Despite these limitations this study could serve as a basis of further investigations employing modern detection methods combined with single cell analyses.
Our results indicate a potential biological interaction between the protease uPA, its inhibitor PAI-1, and dCK+ cells and an independent prognostic effect. uPA and PAI-1 were prognostic in the subgroup of node-negative breast cancer patients without chemotherapy. The adverse effect of an elevated proteolytic system may have been counteracted by adjuvant chemotherapy. Our data further underline the importance of the hemostatic system for tumor progression. However, this hypothesis has not been proven by the data of this study and requires further evaluation.
Availability of data and materials
Raw data are available from an open repository:
Arbeitsgemeinschaft Gynäkologische Onkologie
Alkaline phosphatase anti-alkaline phosphatase
- BHST :
Bonferroni-Holm significance treshold
95% confidence interval
Circulating tumor cells
- dCK +:
Disseminating cytokeratin positive
Enzyme-linked immune sorbent assay
Human epidermal growth factor receptor 2
Lipoprotein receptor-related protein 1
Plasminogen activator inhibitor
Reverse transcription polymerase chain reaction
Urokinase-type plasminogen activator
Urokinase-type plasminogen activator receptor
Krebs in Deutschland für 2013/2014. Berlin; 2017.
Tyagi NK, Dhesy-Thind S. Clinical practice guidelines in breast cancer. Curr Oncol. 2018;25(Suppl 1):S151–60.
Nicolini A, Ferrari P, Duffy MJ. Prognostic and predictive biomarkers in breast cancer: past, present and future. Semin Cancer Biol. 2017.
Denkert C, Loibl S, Noske A, Roller M, Muller BM, Komor M, Budczies J, Darb-Esfahani S, Kronenwett R, Hanusch C, et al. Tumor-associated lymphocytes as an independent predictor of response to neoadjuvant chemotherapy in breast cancer. J Clin Oncol. 2010;28(1):105–13.
Hanahan D, Weinberg RA. Hallmarks of cancer: the next generation. Cell. 2011;144(5):646–74.
Dass K, Ahmad A, Azmi AS, Sarkar SH, Sarkar FH. Evolving role of uPA/uPAR system in human cancers. Cancer Treat Rev. 2008;34(2):122–36.
Harris LN, Ismaila N, McShane LM, Andre F, Collyar DE, Gonzalez-Angulo AM, Hammond EH, Kuderer NM, Liu MC, Mennel RG, et al. Use of biomarkers to guide decisions on adjuvant systemic therapy for women with early-stage invasive breast Cancer: American Society of Clinical Oncology clinical practice guideline. J Clin Oncol. 2016;34(10):1134–50.
Janni WJ, Rack B, Terstappen LW, Pierga JY, Taran FA, Fehm T, Hall C, de Groot MR, Bidard FC, Friedl TW, et al. Pooled analysis of the prognostic relevance of circulating tumor cells in primary breast Cancer. Clin Cancer Res. 2016;22(10):2583–93.
Braun S, Pantel K, Müller P, Janni W, Hepp F, Kentenich CR, Gastroph S, Wischnik A, Dimpfl T, Kindermann G, et al. Cytokeratin-positive cells in the bone marrow and survival of patients with stage I, II, or III breast cancer. N Engl J Med. 2000;342(8):525–33.
Pantel K, Schlimok G, Angstwurm M, Weckermann D, Schmaus W, Gath H, Passlick B, Izbicki JR, Riethmuller G. Methodological analysis of immunocytochemical screening for disseminated epithelial tumor cells in bone marrow. J Hematother. 1994;3(3):165–73.
Jänicke F, Prechtl A, Thomssen C, Harbeck N, Meisner C, Untch M, Sweep CG, Selbmann HK, Graeff H, Schmitt M, et al. Randomized adjuvant chemotherapy trial in high-risk, lymph node-negative breast cancer patients identified by urokinase-type plasminogen activator and plasminogen activator inhibitor type 1. J Natl Cancer Inst. 2001;93(12):913–20.
Schemper M, Smith TL. A note on quantifying follow-up in studies of failure time. Control Clin Trials. 1996;17(4):343–6.
Wang D, Li Y, Wang X, Liu X, Fu B, Lin Y, Larsen L, Offen W. Overview of multiple testing methodology and recent development in clinical trials. Contemp Clin Trials. 2015;45(Pt A:13–20.
Liedtke C, Thill M, Jackisch C, Thomssen C, Muller V, Janni W, Janni W. Committee* AGOB: AGO recommendations for the diagnosis and treatment of patients with early breast Cancer: update 2017. Breast Care (Basel). 2017;12(3):172–83.
Kolben T, Augustin D, Armbrust R, Kolben TM, Degenhardt T, Burgmann M, Goess C, Ditsch N, Kates R, Harbeck N, et al. Impact of guideline-based use of uPA/PAI-1 on patient outcome in intermediate-risk early breast cancer. Breast Cancer Res Treat. 2016;155(1):109–15.
Harbeck N, Schmitt M, Meisner C, Friedel C, Untch M, Schmidt M, Sweep CG, Lisboa BW, Lux MP, Beck T, et al. Ten-year analysis of the prospective multicentre chemo-N0 trial validates American Society of Clinical Oncology (ASCO)-recommended biomarkers uPA and PAI-1 for therapy decision making in node-negative breast cancer patients. Eur J Cancer. 2013;49(8):1825–35.
Ettl J, Klein E, Hapfelmeier A, Grosse Lackmann K, Paepke S, Petry C, Specht K, Wolff L, Hofler H, Kiechle M. Decision impact and feasibility of different ASCO-recommended biomarkers in early breast cancer: prospective comparison of molecular marker EndoPredict and protein marker uPA/PAI-1. PLoS One. 2017;12(9):e0183917.
Jakubowicz E, Martin B, Hoffmann R, Kröncke T, Jung T, Steierl R, Steinfeld D, Schenkirsch G, Kriegsmann J, Märkl B. EndoPredict versus uPA/PAI-1 in breast cancer: comparison of markers and association with clinicopathological parameters. Breast J. 2019;25(3):450–4.
Braun S, Vogl FD, Naume B, Janni W, Osborne MP, Coombes RC, Schlimok G, Diel IJ, Gerber B, Gebauer G, et al. A pooled analysis of bone marrow micrometastasis in breast cancer. N Engl J Med. 2005;353(8):793–802.
Märkl B, Wilhelms N, Anthuber M, Schenkirsch G, Schlimok G, Oruzio D. Circulating cytokeratin-positive cells and tumor budding in colorectal cancer. World J Clin Oncol. 2016;7(6):433–40.
Politaki E, Agelaki S, Apostolaki S, Hatzidaki D, Strati A, Koinis F, Perraki M, Saloustrou G, Stoupis G, Kallergi G, et al. A comparison of three methods for the detection of circulating tumor cells in patients with early and metastatic breast Cancer. Cell Physiol Biochem. 2017;44(2):594–606.
Schindlbeck C, Andergassen U, Hofmann S, Juckstock J, Jeschke U, Sommer H, Friese K, Janni W, Rack B. Comparison of circulating tumor cells (CTC) in peripheral blood and disseminated tumor cells in the bone marrow (DTC-BM) of breast cancer patients. J Cancer Res Clin Oncol. 2013;139(6):1055–62.
Molloy TJ, Bosma AJ, Baumbusch LO, Synnestvedt M, Borgen E, Russnes HG, Schlichting E, van't Veer LJ, Naume B. The prognostic significance of tumour cell detection in the peripheral blood versus the bone marrow in 733 early-stage breast cancer patients. Breast Cancer Res. 2011;13(3):R61.
Fehm T, Hoffmann O, Aktas B, Becker S, Solomayer EF, Wallwiener D, Kimmig R, Kasimir-Bauer S. Detection and characterization of circulating tumor cells in blood of primary breast cancer patients by RT-PCR and comparison to status of bone marrow disseminated cells. Breast Cancer Res. 2009;11(4):R59.
Simone TM, Higgins CE, Czekay RP, Law BK, Higgins SP, Archambeault J, Kutz SM, Higgins PJ. SERPINE1: a molecular switch in the proliferation-migration dichotomy in wound-"activated" keratinocytes. Adv Wound Care (New Rochelle). 2014;3(3):281–90.
Mekkawy AH, Pourgholami MH, Morris DL. Involvement of urokinase-type plasminogen activator system in cancer: an overview. Med Res Rev. 2014;34(5):918–56.
Kwaan HC, McMahon B. The role of plasminogen-plasmin system in cancer. Cancer Treat Res. 2009;148:43–66.
Czekay RP, Aertgeerts K, Curriden SA, Loskutoff DJ. Plasminogen activator inhibitor-1 detaches cells from extracellular matrices by inactivating integrins. J Cell Biol. 2003;160(5):781–91.
Thomas C, Wiesner C, Melchior SW, Schmidt F, Gillitzer R, Thuroff JW, Pfitzenmaier J. Urokinase-plasminogen-activator receptor expression in disseminated tumour cells in the bone marrow and peripheral blood of patients with clinically localized prostate cancer. BJU Int. 2009;104(1):29–34.
Mego M, Karaba M, Minarik G, Benca J, Sedlackova T, Tothova L, Vlkova B, Cierna Z, Janega P, Luha J, et al. Relationship between circulating tumor cells, blood coagulation, and urokinase-plasminogen-activator system in early breast cancer patients. Breast J. 2015;21(2):155–60.
Meng S, Tripathy D, Shete S, Ashfaq R, Saboorian H, Haley B, Frenkel E, Euhus D, Leitch M, Osborne C, et al. uPAR and HER-2 gene status in individual breast cancer cells from blood and tissues. Proc Natl Acad Sci U S A. 2006;103(46):17361–5.
Mengele K, Harbeck N, Reuning U, Magdolen V, Schmitt M. Tumor-associated prognostic factors of the plasminogen activator family: determination and clinical value of u-PA, t-PA, PAI-1, and PAI-2. Hamostaseologie. 2005;25(3):301–10.
Kantelhardt EJ, Vetter M, Schmidt M, Veyret C, Augustin D, Hanf V, Meisner C, Paepke D, Schmitt M, Sweep F, et al. Prospective evaluation of prognostic factors uPA/PAI-1 in node-negative breast cancer: phase III NNBC3-Europe trial (AGO, GBG, EORTC-PBG) comparing 6xFEC versus 3xFEC/3xDocetaxel. BMC Cancer. 2011;11:140.
Harbeck N, Kates RE, Look MP, Meijer-Van Gelder ME, Klijn JG, Kruger A, Kiechle M, Janicke F, Schmitt M, Foekens JA. Enhanced benefit from adjuvant chemotherapy in breast cancer patients classified high-risk according to urokinase-type plasminogen activator (uPA) and plasminogen activator inhibitor type 1 (n = 3424). Cancer Res. 2002;62(16):4617–22.
Banys-Paluchowski M, Krawczyk N, Fehm T. Potential role of circulating tumor cell detection and monitoring in breast Cancer: a review of current evidence. Front Oncol. 2016;6:255.
Placencio VR, DeClerck YA. Plasminogen activator Inhibitor-1 in Cancer: rationale and insight for future therapeutic testing. Cancer Res. 2015;75(15):2969–74.
Palumbo JS, Degen JL. Mechanisms linking tumor cell-associated procoagulant function to tumor metastasis. Thromb Res. 2007;120(Suppl 2):S22–8.
The authors are thankful to Carmen Sailer and Monika Hallabrin for their excellent technical assistance. This work is part of M. Kazik’s doctoral thesis.
Ethics approval and consent to participate
The study was approved by the internal review board of the Universitätsklinikum Augsburg, Stenglinstraße 2, 86156 Augsburg. Rev_No.: 2014–3. All patients provided written and informed consent for the intraoperative bone marrow biopsy. An additional consent for the retrospective analyses of the data is deemed unnecessary due to the regional law (Bayerisches Krankenhausgesetz (BayKrG) in der Fassung der Bekanntmachung vom 28. März 2007 (GVBl. S. 288, BayRS 2126–8-G) Art.27 Abs4).
Consent for publication
B. Märkl received free femtelle™ test kits from the American Diagnostica GmbH and Sekisui Diagnostics GmbH for previous studies. All other authors declare that they have no conflicts of interest.
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Märkl, B., Kazik, M., Harbeck, N. et al. Impact of uPA/PAI-1 and disseminated cytokeratin-positive cells in breast cancer. BMC Cancer 19, 692 (2019). https://doi.org/10.1186/s12885-019-5857-0
- Breast cancer
- Circulating tumor cells