Abstract
Background: Endometrial adenocarcinoma is a frequently occurring cancer in women, accounting for 42,000 deaths every year. Despite treatment with standard therapy, occurrence of remote metastases and local recurrences is high. Through help of RT-qPCR minimal residual disease could be detected and characterized, facilitating therapeutic decision making. Materials and Methods: A number of marker genes were first tested in model systems and genes that performed best, were consequently used for the examination of 13 blood samples from endometrial carcinoma patients. Results: Cytokeratin 19 and MIG7 were chosen for the analysis in patient samples. Both genes were found up-regulated in small tumours and in one large tumour, but no statistical correlations could be revealed between expression levels of these two genes and tumour characteristics. Conclusion: There seems to be a coherence between gene expression and the stage of tumorigenesis, but the number of samples is still too small, to be able to obtain statistical significant differences.
Endometrial adenocarcinoma is the fourth most frequent cancer entity occurring in women (1). Every year about 11,300 newly diagnosed endometrium carcinomas are registered (2). The risk of sickening from this malignant disease rises by increasing age, most patients are between 75 and 80 years old at primary diagnosis. Although 5-year survival rates are 72% (Europe) and 84% (USA), about 42,000 women die per year from the consequences of this disease. Thereby, the most prominent risk factors are hormone therapies based on estrogen (3), the metabolic syndrome, diabetes mellitus, nulliparity and different former carcinomas (4). Most frequently the first recognizable symptom is the incidence of postmenopausal bleeding (5), as screening and early diagnosis are largely ineffective. Diagnosis can usually only be made histopathologically by analysis of tissue samples from fractionated uterine abrasion (6). Therapy is mostly limited to surgery, followed by radiation in form of a brachy- or teletherapy (7), seldomly a chemotherapeutical concept using platin derivates is applied. After therapy about 25% of patients show up with recurrence or metastasis (8), so that a consequent follow-up care is indispensable (9). Up until now, there is no multiple-line treatment for progression or recurrence of tumour mass (7).
Therefore, the involvement of circulating and disseminated tumour cells as prognostic and predictive factors for disease and therapy outcome would be of great benefit for therapeutic interventions. Circulating tumour cells (CTCs) are single tumour cells, that detach from the primary tumour, invade lymphatic and blood vessels and circulate with liquor stream (10) and are considered as origin of remote metastasis (11). By entering bone marrow, where these tumour cells are able to form tumour reservoirs (12-17), CTCs turn into disseminated tumour cells (DTCs). CTCs have been already discovered as early as 1869 by Thomas Asworth, who found tumour cells in the blood of a person, who died from metastatic cancer (18). Nowadays the occurrence of CTCs and DTCs is already included in international tumour staging systems (19, 20), as their role in epithelial cancer progression and their linkage to worse prognosis had been clarified (10, 21). But still the detection of CTCs is a technical challenge due to the small number of tumour cells in comparison to the surrounding blood cells (1/106-107 blood cells; (22)). The highly sensitive real-time PCR (RT-PCR) could constitute a solution to this problem. The method is based on the fact, that tumour cells, which are of epithelial origin, express a different panel of genes than mesenchymal blood cells. In the on-hand study the even more sensitive method of TaqMan® RT-PCR (23) was used for the analysis of a set of five genes for their benefit in CTC-detection from blood samples of endometrial carcinoma patients. Cytokeratin 20 (CK20) was already described to be expressed in endometrial carcinoma, but not in healthy tissues, and also not in blood cells (24). Cytokeratin 19 (CK19) is generally considered a marker gene for epithelial cells, used also in the APAAP-staining (25, 26). It had already shown relevance for CTC-detection from blood samples of breast cancer patients (27, 28), and its expression is also described in endometrial carcinoma tissue (29). Cyclin E (CCNE) is also known to be overexpressed in endometrial adenocarcinomas (30) and had been used already in RT-qPCR detection of CTCs from blood samples of different malignant entities and has been shown to be a useful marker in endometrial carcinoma, as was MAL2 (31). Furthermore Mig-7 was described as marker gene for poor prognosis in endometrial carcinoma and had also already been used in RT-qPCR-based detection of CTCs from blood samples of endometrial carcinoma patients (32).
The present study consists of two experimental parts: first, an artificial model system was created by adding cells from endometrial adenocarcinoma cell lines to blood samples of healthy donors. Possible marker genes were tested for their performance in RT-qPCR in this artificial system. In the second part, the genes that seemed to be most suitable for tumour cell detection in the artificial system were subsequently used in RT-qPCR with samples of endometrial adenocarcinoma patients. Their expression was correlated statistically to some tumour characteristics. For this study, five genes were tested as genes that are specific for endometrial cancer. We used different cells from endometrial carcinoma cell lines and added them in different amounts to blood samples. A tumour-specific gene expression is characterized by an increase of gene expression in parallel to an increase of added tumour cells. The most specific genes were used in the analysis of patient samples and marker gene expression was correlated to different tumour characteristics.
Materials and Methods
Cells. Epithelial adenocarcinoma cell lines HEC-1A and RL95-1 (ATCC: HTB-112 and CRL-1671 respectively; ATCC, Wesel, Germany) were cultured according to the distributor´s recommendations. Cells were grown to sub-confluency and fed every third day. For sub-culturing and counting cells had to be detached from the bottom of the cell culture flask by trypsin/EDTA (Biochrom, Berlin, Germany) and ingested in their normal culture media. For the spiking experiments required cell numbers were assembled by diluting the cell solution with PBS (Biochrom, Berlin, Germany). Cells were added to the healthy blood samples after the Trizol-step during RNA-isolation to prevent immunological reactions of the blood cells with the tumour cells. 0, 10, 100 and 1000 cells/ml blood were added to different blood samples.
Blood samples. For the collection of blood sample from endometrial carcinoma patients an ethical vote (LMU 148-12) was on hand, according to the Declaration of Helsinki. Blood was only collected after explaining matters to the patient and obtaining a written consent. The fraction of mononuclear cells, which also contains CTCs, is enriched via density gradient centrifugation of the blood sample (33). About 20 ml blood was withdrawn from healthy donors and 13 endometrial carcinoma patients, diluted to about 30 ml with PBS (Biochrom, Berlin, Germany). The diluted blood was carefully layered onto 20 ml Histopaque 1077 (Invitrogen, Darmstadt, Germany) in a Falcon tube and a density gradient centrifugation was carried out at 400 × g for 30 min. Then the buffy coat containing lymphocytes, and in case of patient samples also circulating tumour cells, was aspired, transferred to a fresh tube and filled with PBS. Thereby cells were washed during a following centrifugation step at 250 × g and 4°C for 10 min. Supernatant was removed and the harvested cell pellet was air-dried and then kept on −80°C until further use. For RNA isolation cell pellets were thawn and resuspended in 1 ml Trizol LS (Invitrogen, Darmstadt, Germany). Then 0.2 ml chloroform (Merck, Darmstadt, Germany) were added and suspension was agitated vigorously and centrifugated at 12,000 × g and 4°C for 15 min. After centrifugation three phases could be discerned, of which the clear upper phase containing RNA is carefully aspired and transferred in a fresh tube, 1 ml isopropanol (Merck) was added and the solution was stored at -20°C overnight. After another centrifugation step at 12,000 × g, 4°C for 10 min supernatant can be carefully removed from the RNA pellet, and pellet is washed in 75% ethanol (Merck) by centrifugation at 12,000 × g, 4°C for 10 min. Then RNA pellet was air dried and resolved in 20 μl DEPC-water. The RNA amount and quality were determined by photometry (Nanodrop, Implen, München, Germany) and denaturing agarose gel electrophoresis, respectively.
For experiments in the artificial system, blood samples from healthy donors were treated as described, only after the Trizol-step, the designated amount of tumour cells (HEC 1A, RL95-2) was added. It is crucial to add the tumour cells at this step of the experimental procedure, to prevent immunologic agglutination of tumour cells with normal blood cells, influencing results of Real-Time qPCR.
Reverse Transcription and RT-PCR. For reverse transcription 4 μg of RNA were interspersed with the reagents from the SuperScript III First Strand Synthesis Super Mix Kit (Invitrogen, Darmstadt, Germany) in the order described in the manual and reaction steps were carried out as stated in the product manual. CDNA samples were then kept on -20°C until further use.
Two μl of these cDNA are then mixed within the wells of a PCR Plate (MicroAmp® Fast Optical 96-well plate with barcode, ABI, Foster City, CA, USA) with 18 μl of the target gene specific reaction master mix, consisting of 1 μl of gene specific TaqMan-Primer (Hs99999905_m1 for GAPDH, Hs_03003631_g1 for 18S, Hs00761767_m1 for CK19, Hs00300643_m1 for CK20, Hs00180319_m1 for CCNE, Hs00294541_m1 for MAL2, Hs00706258_m1 for Mig7; ABI, Foster City, CA, USA) 10μl TaqMan® Fast Universal PCR Mastermix (ABI, Foster City, CA, USA) and 7 μl distilled water. The plate was sealed with an optical adhesive cover (ABI) and placed into the 7500 Fast Real Time PCR system (ABI). Each gene was analyzed in quadruplicates at RT and water controls were included. 18S and GAPDH were used as internal controls for the reaction. PCR was run in the following cycles: initial denaturation (95°C for 20 sec), 40 amplification cycles (95°C, 3 sec; 60°C, 30 sec). Fluorescence was displayed in the SDS 1.3.1 software.
Evaluation. Fluorescence intensities were converted to CT, ΔCT, ΔΔCT and RQ-values (RQ-values were generated as described in Livak et al. (34)) by the SDS software and could be transferred to Microsoft® Excel™, which was then used to draw respective graphs. Statistical comparison of tumour features and gene expression values was done via SPSS V.22.
Results
To save precious patient material, considered marker genes were first analyzed in an artificial system, consisting of blood samples from healthy donors to which a certain amount of HEC 1A and RL95-2 tumour cells are added. For these spiking experiments, both cell lines were used in equal amounts, as a mixture of cell lines has already been shown useful for such experiments in the breast cancer background (28, 35). Unfortunately CK 20 expression could not be detected in these experiments. The other four genes show a more or less strong increase in gene expression by increasing number of tumour cells added to the blood sample (Figure 1). The greatest increase was seen for Mig7. Already in the sample of 10 tumour cells added per ml blood an increase in gene expression could be noted, and the expression rises up to 160 in RQ-value in the 100-cells-sample. CK19 also showed a great boost in the 10 and 100 cells/ml sample, but almost no further increase in gene expression was seen in the 1,000-cells sample. An increase in gene expression for the CCNE2 gene could be noted in the sample, in which 100 cells were added per ml blood, and the increase for MAL2 was hardly notable. Therefore, CK19 and Mig7 were selected for analysis of patient samples, as increase in gene expression is much lower for the other two genes analyzed.
By comparing gene expression with tumour characteristics (Table I), an interesting fact was found: the highest gene expression values for CK19 and Mig7 were found in three pT1a, N0, M0, G1, FIGO IA patients (Patient 3, 8 and 12) and in one patient with advanced disease (patient 11; pT4b, pN2, pM1, G2, FIGO IVB). Besides that finding, no coherence could be found between gene expression and tumour characteristics.
An analysis of gene expression in different patient subgroups concerning patient age at primary diagnosis (p-values 0.7206 and 0.1741 for CK19 and Mig7 respectively), tumour size (p=0.98922 for CK19 and 0.6601 for Mig7), lymph node affection (p=0.9913 for CK19 and 0.9384 for Mig7), metastatic status (p-values: 0.3974, 0.8656 for CK19 and Mig7 respectively), grading (p=0.5672 and 0.3524 for CK19 and Mig7) and FIGO stage (p-values: 0.9581 for CK19, 0.6732 for Mig7) did not reveal any statistical significant coherences (Table II).
Discussion
As it has already been described in the literature, 20% of endometrial adenocarcinoma patients have an occurrence of circulating tumour cells in the blood (36), and it has been shown by immunomagnetic/immunofluorescence assays, that they were associated with myometrial invasion and lymph node positivity (37). Therefore, CTCs could be rather useful blood biomarkers for a non-invasive diagnosis of endometrial adenocarcinoma (38) and for the prediction of distant metastasis in patients with endometrial adenocarcinoma, what until now did not succeed with other methods (39-41).
The preliminary experiments of the on-hand study, using blood samples from healthy donors spiked with tumour cell line cells represent a good model system to examine marker genes and their respective RT-PCR primers. CK20, which has been described to be a good marker gene (24), did not work in our experiments, probably due to a non-optimal performing primer. Another primer for CK20 should be tested in further experiments. The advantage of this artificial system is that no precious patient material is wasted. For a closer relation of gene expression values and tumour characteristics and to receive statistically more meaningful results, a greater number of patient samples would have to be analyzed. Additionally it would make sense, to have one of the gold-standard methods in CTC-detection, like the CellSearch® system (42, 43) running simultaneously, to be able to state more precise conclusions. Furthermore, more marker genes, like NUCKS, which has been shown to be a risk factor for poor prognosis and recurrence in endometrial cancer (44), or estrogen receptor α (ERα), which has been identified as a predictive biomarker for endometrial adenocarcinoma by tissue microarrays (45), would help refine analysis, in order to not only detect, but also characterize tumour cells from blood samples, what could then in turn have a prognostic value and influence treatment strategies (46).
Acknowledgements
The Authors thank T. Thormeyer for helping with statistical analysis.
- Received April 18, 2016.
- Revision received May 20, 2016.
- Accepted May 23, 2016.
- Copyright© 2016 International Institute of Anticancer Research (Dr. John G. Delinassios), All rights reserved