Expression of steroid and peptide hormone receptors, metabolic enzymes and EMT-related genes in prostate tumors in relation to the presence of the TMPRSS2/ERG fusion

Aim: To analyze an expression pattern of the steroid and peptide hormone receptors, metabolic enzymes and EMT-related genes in prostate tumors in relation to the presence of the TMPRSS2/ERG fusion; and to examine a putative correlation between gene expression and clinical characteristics, to define...

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Hauptverfasser: Gerashchenko, G.V., Mevs, L.V., Chashchina, L.I., Pikul, M.V., Gryzodub, O.P., Stakhovsky, E.O., Kashuba, V.I.
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Veröffentlicht: Інститут експериментальної патології, онкології і радіобіології ім. Р.Є. Кавецького НАН України 2018
Schriftenreihe:Experimental Oncology
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spelling irk-123456789-1455752019-01-25T01:23:40Z Expression of steroid and peptide hormone receptors, metabolic enzymes and EMT-related genes in prostate tumors in relation to the presence of the TMPRSS2/ERG fusion Gerashchenko, G.V. Mevs, L.V. Chashchina, L.I. Pikul, M.V. Gryzodub, O.P. Stakhovsky, E.O. Kashuba, V.I. Original contributions Aim: To analyze an expression pattern of the steroid and peptide hormone receptors, metabolic enzymes and EMT-related genes in prostate tumors in relation to the presence of the TMPRSS2/ERG fusion; and to examine a putative correlation between gene expression and clinical characteristics, to define the molecular subtypes of prostate cancer. Materials and Methods: The relative gene expression (RE) of 33 transcripts (27 genes) and the presence/absence of the TMPRSS2/ERG fusion were analyzed by a quantitative PCR. 37 prostate cancer tissues (T) paired with conventionally normal prostate tissue (CNT) and 21 samples of prostate adenomas were investigated. RE changes were calculated, using different protocols of statistics. Results: We demonstrated differences in RE of seven genes between tumors and CNT, as was calculated, using the 2−ΔCT model and the Wilcoxon matched paired test. Five genes (ESR1, KRT18, MKI67, MMP9, PCA3) showed altered expression in adenocarcinomas, in which the TMPRSS2/ERG fusion was detected. Two genes (INSR, isoform B and HOTAIR) expressed differently in tumors without fusion. Comparison of the gene expression pattern in adenomas, CNT and adenocarcinomas demonstrated that in adenocarcinomas, bearing the TMPRSS2/ERG fusion, genes KRT18, PCA3, and SCHLAP1 expressed differently. At the same time, we detected differences in RE of AR (isoform 2), MMP9, PRLR and HOTAIR in adenocarcinomas without the TMPRSS2/ERG fusion. Two genes (ESR1 and SRD5A2) showed differences in RE in both adenocarcinoma groups. Fourteen genes, namely AR (isoforms 1 and 2), CDH1, OCLN, NKX3-1, XIAP, GCR (ins AG), INSR (isoform A), IGF1R, IGF1R tr, PRLR, PRL, VDR and SRD5A2 showed correlation between RE and tumor stage. RE of four genes (CDH2, ESR2, VDR and SRD5A2) correlated with differentiation status of tumors (Gleason score). Using the K-means clustering, we could cluster adenocarcinomas in three groups, according to gene expression profiles. A specific subtype of prostate tumors is characterized by the activated ERG signaling, due to the presence of TMPRSS2/ERG fusion, and also by high levels of the androgen receptor, prolactin, IGF, INSR and PCA3. Conclusions: We have found the specific differences in expression of the steroid and peptide hormone receptors, metabolic enzymes and EMT-related genes, depending on the pre­sence/absence of the TMPRSS2/ERG fusion in prostate adenocarcinomas, CNT and adenomas. We showed three different gene expression profiles of prostate adenocarcinomas. One of them is characteristic for adenocarcinomas with the TMPRSS2/ERG fusion. Further experiments are needed to confirm these data in a larger cohort of patients. Key Words: prostate tumors, TMPRSS2/ERG fusion, gene expression patterns, steroid receptors, peptide receptors, EMT regulation. 2018 Article Expression of steroid and peptide hormone receptors, metabolic enzymes and EMT-related genes in prostate tumors in relation to the presence of the TMPRSS2/ERG fusion / G.V. Gerashchenko, L.V. Mevs, L.I. Chashchina, M.V. Pikul, O.P. Gryzodub, E.O. Stakhovsky, V.I. Kashuba // Experimental Oncology. — 2018. — Т. 40, № 2. — С. 101–108 — Бібліогр.: 30 назв. — англ. 1812-9269 http://dspace.nbuv.gov.ua/handle/123456789/145575 en Experimental Oncology Інститут експериментальної патології, онкології і радіобіології ім. Р.Є. Кавецького НАН України
institution Digital Library of Periodicals of National Academy of Sciences of Ukraine
collection DSpace DC
language English
topic Original contributions
Original contributions
spellingShingle Original contributions
Original contributions
Gerashchenko, G.V.
Mevs, L.V.
Chashchina, L.I.
Pikul, M.V.
Gryzodub, O.P.
Stakhovsky, E.O.
Kashuba, V.I.
Expression of steroid and peptide hormone receptors, metabolic enzymes and EMT-related genes in prostate tumors in relation to the presence of the TMPRSS2/ERG fusion
Experimental Oncology
description Aim: To analyze an expression pattern of the steroid and peptide hormone receptors, metabolic enzymes and EMT-related genes in prostate tumors in relation to the presence of the TMPRSS2/ERG fusion; and to examine a putative correlation between gene expression and clinical characteristics, to define the molecular subtypes of prostate cancer. Materials and Methods: The relative gene expression (RE) of 33 transcripts (27 genes) and the presence/absence of the TMPRSS2/ERG fusion were analyzed by a quantitative PCR. 37 prostate cancer tissues (T) paired with conventionally normal prostate tissue (CNT) and 21 samples of prostate adenomas were investigated. RE changes were calculated, using different protocols of statistics. Results: We demonstrated differences in RE of seven genes between tumors and CNT, as was calculated, using the 2−ΔCT model and the Wilcoxon matched paired test. Five genes (ESR1, KRT18, MKI67, MMP9, PCA3) showed altered expression in adenocarcinomas, in which the TMPRSS2/ERG fusion was detected. Two genes (INSR, isoform B and HOTAIR) expressed differently in tumors without fusion. Comparison of the gene expression pattern in adenomas, CNT and adenocarcinomas demonstrated that in adenocarcinomas, bearing the TMPRSS2/ERG fusion, genes KRT18, PCA3, and SCHLAP1 expressed differently. At the same time, we detected differences in RE of AR (isoform 2), MMP9, PRLR and HOTAIR in adenocarcinomas without the TMPRSS2/ERG fusion. Two genes (ESR1 and SRD5A2) showed differences in RE in both adenocarcinoma groups. Fourteen genes, namely AR (isoforms 1 and 2), CDH1, OCLN, NKX3-1, XIAP, GCR (ins AG), INSR (isoform A), IGF1R, IGF1R tr, PRLR, PRL, VDR and SRD5A2 showed correlation between RE and tumor stage. RE of four genes (CDH2, ESR2, VDR and SRD5A2) correlated with differentiation status of tumors (Gleason score). Using the K-means clustering, we could cluster adenocarcinomas in three groups, according to gene expression profiles. A specific subtype of prostate tumors is characterized by the activated ERG signaling, due to the presence of TMPRSS2/ERG fusion, and also by high levels of the androgen receptor, prolactin, IGF, INSR and PCA3. Conclusions: We have found the specific differences in expression of the steroid and peptide hormone receptors, metabolic enzymes and EMT-related genes, depending on the pre­sence/absence of the TMPRSS2/ERG fusion in prostate adenocarcinomas, CNT and adenomas. We showed three different gene expression profiles of prostate adenocarcinomas. One of them is characteristic for adenocarcinomas with the TMPRSS2/ERG fusion. Further experiments are needed to confirm these data in a larger cohort of patients. Key Words: prostate tumors, TMPRSS2/ERG fusion, gene expression patterns, steroid receptors, peptide receptors, EMT regulation.
format Article
author Gerashchenko, G.V.
Mevs, L.V.
Chashchina, L.I.
Pikul, M.V.
Gryzodub, O.P.
Stakhovsky, E.O.
Kashuba, V.I.
author_facet Gerashchenko, G.V.
Mevs, L.V.
Chashchina, L.I.
Pikul, M.V.
Gryzodub, O.P.
Stakhovsky, E.O.
Kashuba, V.I.
author_sort Gerashchenko, G.V.
title Expression of steroid and peptide hormone receptors, metabolic enzymes and EMT-related genes in prostate tumors in relation to the presence of the TMPRSS2/ERG fusion
title_short Expression of steroid and peptide hormone receptors, metabolic enzymes and EMT-related genes in prostate tumors in relation to the presence of the TMPRSS2/ERG fusion
title_full Expression of steroid and peptide hormone receptors, metabolic enzymes and EMT-related genes in prostate tumors in relation to the presence of the TMPRSS2/ERG fusion
title_fullStr Expression of steroid and peptide hormone receptors, metabolic enzymes and EMT-related genes in prostate tumors in relation to the presence of the TMPRSS2/ERG fusion
title_full_unstemmed Expression of steroid and peptide hormone receptors, metabolic enzymes and EMT-related genes in prostate tumors in relation to the presence of the TMPRSS2/ERG fusion
title_sort expression of steroid and peptide hormone receptors, metabolic enzymes and emt-related genes in prostate tumors in relation to the presence of the tmprss2/erg fusion
publisher Інститут експериментальної патології, онкології і радіобіології ім. Р.Є. Кавецького НАН України
publishDate 2018
topic_facet Original contributions
url http://dspace.nbuv.gov.ua/handle/123456789/145575
citation_txt Expression of steroid and peptide hormone receptors, metabolic enzymes and EMT-related genes in prostate tumors in relation to the presence of the TMPRSS2/ERG fusion / G.V. Gerashchenko, L.V. Mevs, L.I. Chashchina, M.V. Pikul, O.P. Gryzodub, E.O. Stakhovsky, V.I. Kashuba // Experimental Oncology. — 2018. — Т. 40, № 2. — С. 101–108 — Бібліогр.: 30 назв. — англ.
series Experimental Oncology
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fulltext Experimental Oncology 40, 101–108, 2018 (June) 101 EXPRESSION OF STEROID AND PEPTIDE HORMONE RECEPTORS, METABOLIC ENZYMES AND EMT-RELATED GENES IN PROSTATE TUMORS IN RELATION TO THE PRESENCE OF THE TMPRSS2/ERG FUSION G.V. Gerashchenko1, #, *, L.V. Mevs1, #, L.I. Chashchina1, M.V. Pikul2, O.P. Gryzodub3, E.O. Stakhovsky2, V.I. Kashuba1 1Institute of Molecular Biology and Genetics NAS of Ukraine, Kyiv 03680, Ukraine 2National Cancer Institute, Ministry of Health of Ukraine, Kyiv 03022, Ukraine 3Institute of Urology, NAMS of Ukraine, Kyiv 04053, Ukraine Aim: To analyze an expression pattern of the steroid and peptide hormone receptors, metabolic enzymes and EMT-related genes in prostate tumors in relation to the presence of the TMPRSS2/ERG fusion; and to examine a putative correlation between gene expression and clinical characteristics, to define the molecular subtypes of prostate cancer. Materials and Methods: The relative gene expression (RE) of 33 transcripts (27 genes) and the presence/absence of the TMPRSS2/ERG fusion were analyzed by a quan- titative PCR. 37 prostate cancer tissues (T) paired with conventionally normal prostate tissue (CNT) and 21 samples of prostate adenomas were investigated. RE changes were calculated, using different protocols of statistics. Results: We demonstrated differences in RE of seven genes between tumors and CNT, as was calculated, using the 2−ΔCT model and the Wilcoxon matched paired test. Five genes (ESR1, KRT18, MKI67, MMP9, PCA3) showed altered expression in adenocarcinomas, in which the TMPRSS2/ERG fusion was detected. Two genes (INSR, isoform B and HOTAIR) expressed differently in tumors without fusion. Comparison of the gene expression pattern in adenomas, CNT and adenocarcinomas demonstrated that in adenocarcinomas, bearing the TMPRSS2/ ERG fusion, genes KRT18, PCA3, and SCHLAP1 expressed differently. At the same time, we detected differences in RE of AR (isoform 2), MMP9, PRLR and HOTAIR in adenocarcinomas without the TMPRSS2/ERG fusion. Two genes (ESR1 and SRD5A2) showed differences in RE in both adenocarcinoma groups. Fourteen genes, namely AR (isoforms 1 and 2), CDH1, OCLN, NKX3-1, XIAP, GCR (ins AG), INSR (isoform A), IGF1R, IGF1R tr, PRLR, PRL, VDR and SRD5A2 showed correlation between RE and tumor stage. RE of four genes (CDH2, ESR2, VDR and SRD5A2) correlated with differentiation status of tumors (Gleason score). Using the K-means clustering, we could cluster adenocarcinomas in three groups, according to gene expression profiles. A specific subtype of prostate tumors is characterized by the activated ERG signaling, due to the presence of TMPRSS2/ERG fusion, and also by high levels of the androgen receptor, prolactin, IGF, INSR and PCA3. Conclusions: We have found the specific differences in expression of the steroid and peptide hormone receptors, metabolic enzymes and EMT-related genes, depending on the pre- sence/absence of the TMPRSS2/ERG fusion in prostate adenocarcinomas, CNT and adenomas. We showed three different gene expression profiles of prostate adenocarcinomas. One of them is characteristic for adenocarcinomas with the TMPRSS2/ERG fusion. Further experiments are needed to confirm these data in a larger cohort of patients. Key Words: prostate tumors, TMPRSS2/ERG fusion, gene expression patterns, steroid receptors, peptide receptors, EMT regulation. Alterations in expression of the androgen recep- tor (AR) are often associated with development of prostate cancer. It is known already that the AR gene expression is regulated by quite many molecular pathways [1]. Another example of frequent altera- tions in prostate tumors is formation of gene fusions of androgen dependent gene TMPRSS2 (transmem- brane protease, serine 2) with the ETS (E26 transfor- mation-specific) family in particular with ERG (ETS related gene) [2]. Previously, we have shown that the TMPRSS2/ERG fusion is present in prostate adeno- carcinoma and even in conventionally normal prostate tissue (CNT) in a group of patients of the Ukrainian population [3]. Therefore, we may speculate that the presence or absence of the gene fusions could be the cause of development of various prostate cancer types with different sensitivity to therapy, recurrence and metastasizing, despite the similar histological characteristics [4]. One of the important characteristics of normal functioning of prostate epithelial cells is sensitivity to steroid and peptide hormones. In the process of cell transformation, tumor cells often lose the sensitivity to hormones and growth factors and also change their metabolism. The AR is a key element of prostate func- tioning and is involved in malignant transformation. As was shown already, AR signaling plays a primary role in development of androgen resistant and castration- resistant prostate cancer [1]. There are few isoforms of ARs. Some of them are prostate specific. AR expres- Submitted: December 22, 2017. *Correspondence: E-mail: g.v.gerashchenko@imbg.org.ua #These authors contributed equally to this work Abbreviations used: A — prostate adenomas; AR — androgen receptor; CNT — conventionally normal prostate tissue; CPC — clinical and pathological characteristics; EMT — epithelial-to-me- senchymal cell transition; FDR — false discovery rate; N — normal/ conventionally normal prostate tissue; PSA — prostate-specific antigen; qPCR — quantitative polymerase chain reaction; RE — relative gene expression; RNA — ribonucleic acids; T — pros- tate cancer, adenocarcinoma; TNM — International System of Classification of Tumors, based on tumor-node-metastasis; WHO — World Health Organization. Exp Oncol 2018 40, 2, 101–108 102 Experimental Oncology 40, 101–108, 2018 (June) sion can change during prostate carcinogenesis. Thus, the overexpression of AR isoform A (1 isof) decreases proliferation but accelerates invasion of prostate cancer cells, compared with overexpression of AR iso- form B (2 isof) [5]. Also, it was proposed that forma- tion of the fusion between TMPRSS2 and ERG might be controlled by androgens [6]. In prostate cells, the most potent AR ago- nist is dihydrotestosterone. This is a metabolite of testosterone, and the reaction of conversion is catalyzed by SRD5A1 (5α-reductase, type 1) and SRD5A2 (5α-reductase, type 2). The latter are expressed at low levels in normal prostate tissues, but upon prostate cancer progression expression of these enzymes is altered [7]. Noteworthy, pros- tate cancer is a complex pathology and many other hormone receptors and corresponding pathways are involved in tumor development, especially GCR (glucocorticoid receptor, NR3C1 nuclear receptor subfamily 3 group C member 1), IGF1R (insulin like growth factor 1 receptor), ESR1 and ESR2 (estrogen receptors 1 and 2), PRLR (prolactin receptor), VDR (vitamin D receptor) and others. Of note, GCR and AR share several transcriptional targets [8]. All of the three isoforms of GCR (alpha (A), beta (B) and gamma (G)) are very important in de- velopment and progression of prostate cancer [9]. In initiation and also in progression of the prostate cancer the IGF network, including INSR (insulin recep- tor) — (subtypes INSR A and B), IGF1R and IGF2R plays an important role [10–12]. Both estrogen receptors, alpha (ESRα, ESR1) and beta (ESRβ, ESR2) are associated with deve- lopment of prostate cancer [13]. It was shown, that the increased expression of ESRα is observed upon progression, metastasizing, and in androgen resistant phenotype; ESRα could be involved in regulation of ex- pression of the TMPRSS2-ERG fusion [14]. PRL (prolactin) can induce growth and survival of prostate cancer cells [15]. The PRL expression cor- relates with the disease severity. It was shown that vitamin D (calcitriol) influences on prostate cancer cells growth [16]. Furthermore, the TMPRSS2-ERG fusion expression is increased upon activation of VDR and AR. Consequently, expression of TMPRSS2/ERG leads to inactivation of the VDR signaling [17]. We have shown earlier that several genes, regu- lating the epithelial-to-mesenchymal cell transi- tion (EMT), such as CDH1, CDH2, NKX3-1, FN1 and VIM, are expressed differently in prostate tumors [18]. In a present work, we aimed to analyze the expres- sion pattern of a group of the cancer-related genes, de- pending on the presence or absence of the TMPRSS2/ ERG fusion in prostate tumors. Also, we wanted to find the putative correlations between gene expression pat- terns and clinical and pathological characteristics (CPC) to define the molecular subtypes of prostate cancer. MATERIALS AND METHODS A collection of prostate tissues samples. Samples of cancer tissue and CNT (at an opposite side of tumor) were frozen in liquid nitrogen immediately after surgical resection at the National Cancer Insti- tute (Kyiv, Ukraine). Benign prostate tumors (prostate adenoma samples) were collected at the Institute of Urology (Kyiv, Ukraine) after radical prostatectomy and frozen, as described above. The samples were collected in accordance with the Declaration of Hel- sinki and the guidelines issued by the Ethic Committee of the Institute of Urology, the National Cancer Institute and an Ethic Committee of the Institute of Molecular Biology and Genetics. Experimental studies were conducted on 37 prostate adenocarcinoma samples of different Gleason score and stages; 37 paired CNT samples; 21 samples of benign prostate tumors (ade- nomas). Tumor samples were characterized, according to an International System of Classification of Tumors, based on the tumor-node-metastasis (TNM) and the World Health Organization (WHO) criteria. CPC and the presence/absence of the TMPRSS2/ERG fusion, that we have detected earlier [3] are presented on Table 1. Table 1. CPC and TMPRSS2/ERG status (T/ERG) of prostate adenocarci- noma samples Sample number T/ERG Stage Gleason score TNM PSA, ng/ml 1 – ІІ < 7 T2bN0M0 12.8 2 – ІІ < 7 T2сNxM0 27.3 3 – ІІІ < 7 T3bNхM0 23.6 4 – ІІ < 7 T2bNxM0 6.5 5 – II < 7 T2cNxM0 25.2 6 + ІІ < 7 T2аNxM0 18.6 7 + ІІ < 7 T2аN0M0 9.3 8 + ІІ < 7 T2aN0M0 6.0 9 + II < 7 T2pN0M0 5.0 10 + ІІ < 7 T2аN0M0 13.3 11 + II < 7 T2cN0M0 29.1 12 – ІІ 7 T2аNxM0 11.7 13 – ІІ 7 T2сNxM0 13.9 14 – ІІ 7 T2сNxM0 19.8 15 + ІІ 7 T2аNxM0 7.1 16 + І 7 T1сNxM0 8.2 17 + ІІ 7 T2сNxM0 19.3 18 + ІІ 7 T2аNхM0 5.6 19 + ІІ 7 T2cN0M0 14.3 20 + ІІІ 7 T2bN0M0 24.6 21 – ІІІ > 7 T3bNхM0 86.3 22 – ІV > 7 T3aN0M1 37.8 23 – IV > 7 T2сN0M1 22.6 24 – ІІІ > 7 T2сN1M0 2.3 25 – ІІ > 7 T2bNxM0 6.9 26 – III > 7 T3bNxM0 51.0 27 – ІІІ > 7 T2bNxM0 0.5 28 – ІІ > 7 T2bN0M0 20.3 29 + ІІ > 7 T2cN0M0 9.7 30 + IІІ > 7 T3bN0M0 12.1 31 + III > 7 T3aN0M0 25.1 32 + ІІІ > 7 T3bNхM0 16.0 33 + ІІI > 7 T3bN0M0 84.2 34 + ІІІ > 7 Т3bNхМ0 20.9 35 + IV > 7 T2cN1M0 17.0 36 + ІІ > 7 T2bNxM0 33.0 37 + ІІІ > 7 T3bNxM0 106.0 Note: + presence of TMPRSS2/ERG fusion; − absence of TMPRSS2/ERG fusion. Total RNA isolation and cDNA synthesis. 50–70 mg of frozen prostate tissues were mashed to a powder in the liquid nitrogen. Total RNA was extracted by TRI- reagent (SIGMA), according to the manufacturer’s protocol. Total RNA concentration was analyzed by a spectrophotometer (NanoDrop Tech- Experimental Oncology 40, 101–108, 2018 (June) 103 nologies Inc., USA). The quality of the total RNA was determined in a 1% agarose gel by band intensity of 28S and 18S rRNA (28S/18S ratio). cDNA was synthesized from 1 µg of the total RNA, that was treated with the RNase free DNase I (Thermo Fisher Scientific, USA), using RevertAid H-Minus M-MuLV Reverse Transcrip- tase (Thermo Fisher Scientific, USA), according to the manufacturer’s protocol. Quantitative quantitative polymerase chain re- action (qPCR). Relative gene expression (RE) levels of 27 genes (33 transcripts) were detected by qPCR, using Maxima SYBR Green Master mix (Thermo Fisher Scientific, USA) and Bio-Rad CFX96 Real-Time PCR Detection System (USA) under the following condi- tions: 95 °C — 10 min, following 40 cycles of 95 °C — 15 s, 60 °C — 30 s, elongation 72 °C — 30 s. Primers for the different transcripts of INSR and IGF1R and various isoforms of GCR were as published earlier [9, 19]. Primers for others genes were selected, using qPrimerDepot (https://primerdepot.nci.nih.gov/). Four reference genes — TBP, HPRT, ALAS1 and TUBA1B — were used for normalization of the gene expression [20]. The two main models (2-ΔCT and 2-ΔΔCT methods), described earlier [18, 21], were used for the RE level calculation and analysis. Statistical analysis. The Kolmogorov — Smirnov test was used to analyze the normality of distribution. The Kruskal — Wallis test was used to determine differences by multiple comparison between experi- mental groups. The Wilcoxon Matched Pairs test was performed to compare RE in prostate adenocarcinoma and paired CNT. RE fold differences in 2-ΔΔCT model were considered significant when expression changes were more, than 2 fold. The Fisher exact test was per- formed to monitor differences between these sample groups [21]. The Benjamini — Hochberg procedure with false discovery rate (FDR) 0.10–0.25 was used when multiple comparisons were performed [22]. The Dunn — Bonferroni post hoc test was performed to determine RE differences between pairs of prostate samples. The Spearman’s rank correlation test was used to find the putative correlations between RE and CPC of prostate tumors and also correlations between RE of investigated genes. The K-Mean clustering was applied for prostate cancer subtyping and also for the specific gene expression profiles, following by the Kruskal — Wallis and Dunn — Bonferroni post hoc tests for detection of inter-cluster differences in RE. RESULTS Expression of 17 transcripts (11 genes), represent- ing the receptors and metabolic enzymes and also 16 EMT-related transcripts/genes (3 from them are lncRNAs) were studied in prostate adenocarcinomas, CNT and adenomas. Earlier, we have shown that the TMPRSS2/ERG fu- sion was expressed in 21 out of 37 adenocarcinomas [3]. In this group, in 16 paired CNT the TMPRSS2/ERG fusion was detected, and 5 CNT did not show this fusion. Thus, we have 3 groups in a set of the paired adenocarcinomas/ CNT: 1) T–/N– group — the TMPRSS2/ERG fusion was not detected neither in adenocarcinomas nor in CNT (n = 16); 2) T+/N+ group — the TMPRSS2/ERG fusion was found in both, cancer and CNT (n = 16); 3) T+/N– group — the TMPRSS2/ERG fusion was present in ad- enocarcinomas, but not in CNT (n = 5). The Wilcoxon Matched paired test in the 2-ΔCT model showed the differences in RE of 7 genes, when the paired adenocarcinoma (T) and CNT (N) were compared, regardless presence or absence of the TMPRSS2/ERG fusion (Table 2). Table 2. RE differences between prostate adenocarcinoma samples and paired CNT with and without fusion status detection (dependent sam- pling, 2−ΔCT model) Gene Pairs with differences without fusion status detection p-value& Pairs with dif- ferences with fusion status p-value& ESR1 T/N 0.010 T+/N+ 0.038 T+/N– 0.043 INSR (B isof) T/N 0.037 T–/N– 0.039 KRT18 T/N 0.000 T+/N+ 0.007 MKI67 T/N 0.017 T+/N+ 0.003 MMP2 T/N 0.011 no – MMP9 T/N 0.014 T+/N+ 0.011 VIM T/N 0.010 no – HOTAIR T/N 0.007 T–/N– 0.027 PCA3 no – T+/N+ 0.049 Note: &Wilcoxon Matched Pairs test significant with FDR = 0.1. The following five genes were upregulated in ad- enocarcinomas, when T/N pairs with the fusion in both, tumor and CNT were analyzed: ESR1 (p = 0.038), Table 3. Frequency of RE fold changes (2−ΔΔCT) in prostate adenocarcinoma (T) in comparison with paired CNT (N) in groups with different TMPRSS2/ERG status and statistical significant differences in paired T/CNT in 2−ΔCT model Group N RE fold changes AR (1isof) AR (2isof) ESR1 ESR2 GCR (AG isof) GCR (in AG) GCR (in B) INSR (A isof) INSR (B isof) IGF1R IGF1R tr PRLR PRL SRD5A1 SRD5A2 VDR 1 T–/ N– 16 < 0.49 1 4 3 2 0 1 0 0 0 1 3 4 4 2 1 3 > 2.10 1 2 7$ 4 0 0 2 2 4# 2 1 1 2 0 0 1 2 T+/ N+ 16 < 0.49 3 2 1 3 0 1 1 3 0 3 1 1 0 3 4 2 > 2.10 1 2 9$ # 1 1 1 1 0 1 1 0 1 1 2 1 3 3 T+/ N– 5 < 0.49 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 > 2.10 0 1 3# 2 0 0 0 0 2 1 0 0 0 1 0 0 Group N RE fold changes CDH1 CDH2 FN1 VIM OCLN MMP2 MMP9 NKX3-1 PSA KRT18 MKI67 CASP3 XIAP PCA3 HOTAIR SCHLAP1 1 T–/N– 16 < 0.49 4 2 3 1 2 0 1 6 5 2 3 1 0 6 2 6 > 2.10 0 3 3 3 3 1 5 1 3 2 2 0 2 4 9$ # 6 2 T+/N+ 16 < 0.49 5 6 0 0 3 1 0 5 2 0 1 1 0 4 2 3 > 2.10 0 2 2 3 4 3 9$ # 2 1 5# 7$ # 2 0 9$ # 7$ 7$ 3 T+/N– 5 < 0.49 1 2 0 0 0 0 1 0 1 0 1 0 0 0 1 0 > 2.10 2 0 0 1 2 0 1 1 1 1 2 0 0 4$ 1 2 Notes: $statistical significant differences between adenocarcinoma and CNT groups by Fisher exact test (p < 0.05) (2–ΔΔCT); #statistical significant differences between adenocarcinoma and CNT groups by Wilcoxon Matched Pairs test (p < 0.05) (2–ΔCT). 104 Experimental Oncology 40, 101–108, 2018 (June) KRT18 (p = 0.007), MKI67 (p = 0.003), MMP9 (p = 0.011) and PCA3 (p = 0.049). In adenocarcinomas without fu- sion INSR (B isof) (p = 0.039) and HOTAIR (p = 0.027) were expressed at the higher levels, than in the paired CNT. Only one gene, ESR1, showed significant chang- es in RE in adenocarcinomas with the presence of the fusion, compared with CNT without fusion (p = 0.043). When the 2-ΔΔCT model was used, we found 6 genes with significant differences in RE between adenocarci- nomas and CNT (Table 3). Three genes (MMP9, MKI67, and SCHLAP1) where expressed at the higher levels in tumors, compared with CNT (the T+/N+ group) (p < 0.05), two genes (ESR1 and HOTAIR) have shown increased RE in T+/N+ and T–/N– groups (p < 0.05). Only one gene, the PCA3 was significantly increased in T+/N+ and T+/N– groups (p < 0.05). Hence, the data obtained by the two abovemen- tioned models are only partially overlapping. This could be due to different statistical calculations. Earlier, we have discussed that CNT isolated from patients with prostate tumors do not represent the normal tissue, therefore they can’t be considered as an adequate control [18]. In order to avoid working with inadequate controls, adenomas were used as the control instead. Noteworthy, the TMPRSS2/ERG fusion was detected in 4 adenomas as well. No differences in the gene expression patterns were found in these Table 4. RE differences between pairs of groups with different TMPRSS2/ ERG status Gene/transcript p-value* Pairs with differences p-value** AR (2 isof) 0.024 T–/A 0.017 ECR1 < 0.001 T–/A 0.002 T+/A < 0.001 N–/A 0.040 PRLR 0.017 T–/A 0.009 SRD5A2 0.002 T–/A 0.039 T+/A 0.003 N+/A 0.020 KRT18 0.007 T+/A 0.008 MMP9 0.001 T–/A 0.003 N–/A 0.012 OCLN 0.021 no – VIM 0.045 no – PCA3 0.001 T+/A 0.001 N+/A 0.001 HOTAIR 0.003 T–/A 0.002 SCHLAP1 0.010 T+/A 0.011 Notes: *Kruskal — Wallis test data significant with FDR = 0.1; **Dunn — Bonferroni post hoc method for multiple comparisons. Fig. 1. RE of genes with significant differences between 5 groups with presence (+) or absence (–) of fusion transcript. *p < 0.05 in comparision with adenomas group (A) (Dunn — Bonferoni post hoc test for multiple comparisions) AR (2 isof) Median 25%-75% Min-Max T- T+ N- N+ A 0.002 0.003 0.004 0.005 0.006 0.007 0.008 0.009 0.010 0.020 0.030 0.040 0.050 0.060 0.070 0.080 0.090 0.100 RE , 2 -∆ C T,r .u . * ESR1 T- T+ N- N+ A 0.0050 0.0075 0.0250 0.0500 0.0750 0.2500 0.5000 0.7500 2.5000 RE , 2 -∆ C T,r .u . * * * PRLR T- T+ N- N+ A 0.02 0.03 0.04 0.05 0.06 0.07 0.08 0.09 0.10 0.20 0.30 0.40 0.50 0.60 0.70 0.80 0.90 1.00 2.00 RE , 2 -∆ C T,r .u . * SRD5A2 T- T+ N- N+ A 0.04 0.05 0.06 0.07 0.08 0.090.10 0.20 0.30 0.40 0.50 0.60 0.70 0.80 0.901.00 2.00 3.00 4.00 RE , 2 -∆ C T,r .u . * ** KRT18 T- T+ N- N+ A 0.50 0.75 2.50 5.00 7.50 25.00 50.00 75.00 RE , 2 -∆ C T,r .u . * MMP9 T- T+ N- N+ A 0.05 0.50 5.00 RE , 2 -∆ C T,r .u . * * PCA3 T- T+ N- N+ A 0.0005 0.0050 0.0500 0.5000 5.0000 50.0000 RE , 2 -∆ C T,r .u . * * HOTAIR T- T+ N- N+ A 5E-5 0.0005 0.0050 0.0500 0.5000 RE , 2 -∆ C T,r .u . * SCHLAP1 T- T+ N- N+ A 0.0005 0.0050 0.0500 0.5000 5.0000 RE , 2 -∆ C T,r .u . * Experimental Oncology 40, 101–108, 2018 (June) 105 4 adenomas, compared with adenomas without fusion. For further comparison, only the group of adenomas without fusion was analyzed (n = 17). Also, CNT samples without fusion (n = 5) from adenocarcinoma pairs with the fusion were attributed to total CNT fusion negative (N–) group after verification of RE differences in CNT sample groups for all investigated genes. The Kruskal — Wallis test (with FDR = 0.1) has shown significant differences of RE in 11 out of 33 trans cripts/ genes between 5 investigated groups (T+, T–, N+, N– and A–), while the Dunn — Bonferroni post hoc method of the multiple comparisons has confirmed changes only for 9 transcripts/genes (Table 4, Fig. 1). Increased RE levels in the adenocarcinoma and CNT groups, compared to the adenoma group was shown for 6 genes 1) ECR1 T–/A– group (p = 0.002), T+/A– (p < 0.001), N–/A– (p = 0.040); 2) KRT18 T+/A– (p = 0.008); 3) MMP9 T–/A– (p = 0.003), N–/A– (p = 0.012); 4) PCA3 T+/A– (p = 0.001), N+/A– (p = 0.001); 5) HOTAIR T–/A– (p = 0.002), and 6) SCHLAP1 T+/A– (p = 0.011). Decreased RE levels in the adenocarcinoma and CNT groups, compared to the adenoma group, was detected for 3 genes: 1) AR (2 isof) T–/A– (p = 0.0172), 2) PRLR T–/A– (p = 0.0088) and 3) SRD5A2 T–/A– (p = 0.0393), T+/A– (p = 0.0034), N+/A– (p = 0.0203). Correlations of CPC with RE levels. The Spear- man Rank Order Correlations (rs) analysis of CPC characteristics and RE of a set of genes in prostate adenocarcinomas has revealed a number of positive and negative correlations (Table 5A). For example, there is the reverse correlation between the Gleason score and RE of ESR2, VDR and SRD5A2: rs = –0.354, rs = –0.382 (p < 0.05), rs = –0.520 (p < 0.01), respec- tively. Also, RE of GCR (in AG) and PRL showed the direct correlations with a tumor stage, and 8 genes — AR (1 isof), AR (2 isof), INSR (A isof), IGF1R, IGF1R tr, PRLR, VDR and SRD5A2 showed the negative corre- lation with the tumor stage. Levels of the PSA in serum correlate negatively with RE of VDR and SRD5A2. Correlations of RE levels between investigated genes. Investigation of RE correlations in prostate adenocarcinomas have shown 131 significant correla- tions (from p < 0.0001 to p < 0.05) (Table 5B). Among them 34 have the highest score rs = |0,524–0,936| (from p < 0.0001 to p < 0.05). A maximal number of strong RE correlations showed INSR (A isof) — 7 correlations, AR (1 isof), GCR (in AG), IGF1R, Table 5. Spearman Rank Order Correlations (rs) of CPC with genes RE (5A) and rs among genes RE in prostate adenocarcinomas (5B) 5A AR (1 isof) AR (2 isof) ESR1 ESR2 GCR (AG isof) GCR (in AG) GCR (in B) INSR (A isof) INSR (B isof) IGF1R IGF1R tr PRLR PRL VDR SRD5A1 SRD5A2 GL 0.023 0.033 -0.238 -0.354 0.157 0.178 0.073 -0.157 -0.304 -0.146 -0.086 -0.009 0.007 -0.382 0.051 -0.520 Stage -0.381 -0.390 -0.235 0.142 0.261 0.377 -0.087 -0.478 -0.187 -0.441 -0.486 -0.326 0.437 -0.444 -0.005 -0.395 PSA, ng/ml -0.147 -0.097 -0.029 -0.271 -0.001 -0.016 -0.304 -0.178 -0.315 -0.319 -0.317 -0.254 -0.168 -0.409 0.067 -0.461 Age -0.154 -0.069 0.113 -0.011 0.211 0.187 0.357 -0.058 -0.066 -0.004 -0.090 -0.056 -0.052 0.261 -0.156 0.032 5B Gene/ transcript T/ERG AR (1 isof) AR (2 isof) ESR1 ESR2 GCR (AG isof) GCR (in AG) GCR (in B) INSR (A isof) INSR (B isof) IGF1R IGF1R tr PRLR PRL VDR SRD5A1 SRD5A2 AR (1 isof) 0.331 1.000 AR (2 isof) 0.486 0.665 1.000 ESR1 0.156 0.383 0.291 1.000 ESR2 -0.294 -0.049 -0.096 0.252 1.000 GCR (AG isof) -0.118 0.017 0.043 0.461 0.297 1.000 GCR (in AG) -0.239 -0.071 -0.025 0.267 0.457 0.855 1.000 GCR (in B) -0.007 0.204 0.322 0.307 0.322 0.539 0.584 1.000 INSR (A isof) 0.074 0.518 0.405 0.435 0.301 0.060 0.060 0.217 1.000 INSR (B isof) -0.367 0.217 0.202 0.445 0.418 0.340 0.388 0.258 0.589 1.000 IGF1R 0.349 0.532 0.488 0.382 0.119 0.071 0.023 0.303 0.751 0.486 1.000 IGF1R tr 0.332 0.560 0.461 0.324 0.043 0.008 -0.051 0.230 0.755 0.450 0.936 1.000 PRLR 0.097 0.464 0.443 0.322 -0.079 0.087 -0.130 0.162 0.462 0.315 0.446 0.458 1.000 PRL -0.314 -0.263 -0.401 -0.293 0.093 -0.053 -0.051 -0.260 -0.391 -0.050 -0.371 -0.325 -0.038 1.000 VDR -0.001 0.291 0.280 0.340 0.241 0.063 0.025 0.247 0.536 0.278 0.248 0.237 0.232 -0.250 1.000 SRD5A1 0.194 -0.033 -0.041 -0.091 0.134 -0.029 0.125 -0.163 0.256 0.079 0.249 0.304 -0.227 -0.136 -0.035 1.000 SRD5A2 -0.222 0.319 0.058 0.328 0.505 -0.038 -0.023 0.080 0.424 0.491 0.422 0.398 0.329 -0.029 0.406 0.091 1.000 CDH1 0.125 0.439 0.374 0.124 0.116 -0.136 -0.153 0.311 0.601 0.296 0.716 0.631 0.367 -0.335 0.304 0.118 0.429 CDH2 -0.358 0.272 0.155 0.118 0.125 0.518 0.530 0.289 0.120 0.311 -0.007 -0.064 0.253 0.156 0.049 -0.138 0.116 CASP3 -0.045 0.492 0.389 0.130 0.104 0.261 0.314 0.340 0.332 0.348 0.248 0.239 0.220 -0.161 0.172 0.174 0.118 FN1 -0.250 0.069 0.099 0.343 0.168 0.499 0.520 0.362 0.039 0.364 -0.104 -0.140 0.001 -0.057 0.070 -0.229 -0.049 KRT18 0.449 -0.064 0.103 -0.313 -0.263 -0.512 -0.527 -0.328 0.063 -0.381 0.220 0.221 -0.051 -0.153 -0.055 0.258 -0.174 OCLN 0.467 0.631 0.516 0.150 -0.177 -0.190 -0.246 0.044 0.634 0.079 0.619 0.619 0.276 -0.268 0.326 0.267 -0.009 MKI67 0.317 0.356 0.430 -0.094 -0.128 -0.248 -0.161 -0.085 0.315 -0.090 0.140 0.186 0.087 -0.129 0.408 0.174 0.032 MMP2 -0.141 -0.053 -0.185 0.149 0.365 0.313 0.374 -0.124 -0.072 0.089 -0.350 -0.305 -0.331 0.056 0.137 0.205 0.205 MMP9 -0.027 -0.278 -0.175 0.462 0.355 0.213 0.099 -0.201 0.136 0.109 0.000 0.014 -0.078 0.014 0.208 0.162 0.211 NKX3-1 0.231 0.540 0.538 0.071 -0.038 -0.104 -0.105 0.366 0.562 0.212 0.632 0.592 0.495 -0.293 0.351 0.064 0.307 PSA 0.338 0.346 0.304 -0.330 -0.434 -0.658 -0.717 -0.307 0.168 -0.305 0.299 0.356 0.202 -0.215 -0.087 0.160 0.037 VIM -0.235 -0.235 -0.444 0.209 0.034 0.268 0.203 -0.316 -0.101 0.226 -0.201 -0.125 -0.164 0.244 -0.116 0.296 0.027 XIAP 0.077 0.572 0.524 0.235 0.101 0.177 0.191 0.427 0.562 0.349 0.416 0.439 0.389 -0.178 0.355 0.064 0.084 PCA3 0.344 0.151 0.380 -0.092 -0.315 -0.341 -0.388 0.042 0.193 -0.111 0.408 0.402 0.095 -0.304 -0.124 0.054 -0.257 HOTAIR -0.290 0.025 0.020 0.133 0.006 0.549 0.469 0.293 -0.053 0.203 -0.136 -0.163 0.300 0.260 0.019 -0.509 -0.157 SCHLAP1 0.338 -0.047 0.071 -0.421 -0.536 -0.477 -0.545 -0.440 -0.169 -0.587 -0.118 -0.098 -0.148 -0.057 -0.258 0.148 -0.445 Notes: p < 0.0001 (dark blue bold type), p < 0.001 (dark blue bold+italic type), p < 0.01 (red bold type), p < 0.05 (red). 106 Experimental Oncology 40, 101–108, 2018 (June) IGF1R tr — 6 correlations. This big number of correla- tions confirms robust relationships between gene ex- pression profiles and the close connections pathways, where these genes belong to. Expression profiling of adenocarcinomas. To determine the putative molecular subtypes of the prostate adenocarcinomas, showing the certain gene expression profile, the K-means clustering was per- formed, with analysis of RE of all of the studied genes and CPC (Gleason score and tumor stages) in the adenocarcinoma group. We found three specific clus- ters (Fig. 2, Table 6), that included 33 out of 37 cancer samples (89%). These clusters showed the significant differences in RE of 21 out of 33 transcripts. The larg- est distance is between clusters 1 and 3. All three clusters consist of tumors with the various Gleason scores (6, 7, 9). The cluster 1 contains 12 samples with the TMPRSS2/ERG fusion. Also, in this group the highest expression of AR, epithelial markers (CDH1, NKX3-1, OCLN) and prostate cancer markers (PSA, PCA3, KRT18, SCHLAP1) is detected. The cluster 3 contains the tumors with the highest Gleason score and a tumor stage index. By other words, the cluster 3 consists of the most aggressive tumors. This assumption is supported by the RE data. For exam- ple, in this group we found the lowest expression of AR, epithelial markers (CDH1, OCLN, NKX3-1), SRD5A2, INSR (A and B) and IGF1R, and the high levels of PRL, lncRNA SCHLAP1 and HOTAIR, and also of mesenchy- mal markers (VIM, FN1, MMP2). We have to mention, however, that the cluster 3 contains the lowest number of samples with the fusion — only 2 out of 8. The gene expression profile in cluster 2 has a mixed pattern. For example, several epithelial and luminal markers, such as KRT18, PCA3 and PSA show the lowest expression, and other genes, namely mesen- chymal markers CDH2, MMP2, FN1 and VIM are highly expressed. DISCUSSION The TMPRSS2-ERG fusion transcript iso- form 2 (EF194202.1) was first detected in prostate tumor samples by Lapointe et al. [23]. It is known that formation of this fusion transcript leads to overex- pression of the ERG protein, which is involved in the signaling pathways associated with prostate cancer development [24, 25]. We wanted to enlighten the influence of this fusion on expression of some prostate cancer-associated receptors, enzymes and EMT- associated genes. Thus, in paired adenocarcinoma/ CNT samples we have found the specific changes in RE in cancers with the fusion for 5 genes, whereas RE alterations for tumors without fusion were found only for 2 genes. The high level of ESR1 in tumors where the fusion was detected was associated with faster cancer progression [14]. In the present work we found among adenocar- cinomas, CNT and adenomas that the ESR1 and SRD5A2 genes showed altered expression regard- Table 6. Prostate adenocarcinomas RE means of clusters and statistical significant differences between them Cl us te r nu m be r Nu m be r of c as es Pe rc en t- ag e (% ) T/ ER G st at us (+ ) St ag e G le as on sc or e T/ ER G AR (1 is of ) AR (2 is of ) CD H1 NK X3 -1 KR T1 8 PS A O CL N XI AP IG F1 R IG FR tr PC A3 SC HL AP 1 CD H2 FN 1 VI M 1 12 36.4 12 2 7 0.94 2.10 0.03 4.92 0.82 31.78 537.05 1.76 0.48 4.32 4.33 22.61 0.55 0.09 4.5 9.50 2 13 39.4 4 2 6 0.00 1.57 0.02 3.03 0.34 15.11 166.95 0.51 0.38 3.21 3.26 0.22 0.01 0.32 9.42 13.04 3 8 24.2 2 3 9 0.01 0.97 0.01 1.92 0.21 26.15 299.15 0.42 0.23 1.02 0.94 7.98 0.67 0.14 10.8 14.10 p-value < 0.05 *, *** *** *** *** *** * * *, *** **, *** **, *** * *, ** * Cl us te r nu m be r M M P2 M M P9 HO TA IR ES R1 ES R2 IN SR (A is of ) IN SR (B is of ) VD R SR D5 A1 SR D5 A2 G CR (A G is of ) G CR (B is of ) G CR (in A G ) G CR (in B ) PR LR PR L M KI 67 CA SP 3 1 8.22 1.18 0.01 0.44 0.03 0.48 0.35 0.16 0.10 0.46 2.49 0.00 2.41 8.45 0.12 0.00 0.25 0.35 2 16.43 2.52 0.03 0.81 0.05 0.46 0.60 0.23 0.07 0.82 3.26 4.73 3.65 2.50 0.12 0.00 0.14 0.38 3 16.15 4.28 0.02 0.22 0.03 0.15 0.23 0.09 0.07 0.25 4.15 0.00 4.88 0.85 0.05 0.01 0.23 0.28 p-value < 0.05 * ** **, *** *, ** **, *** ** *** *** Notes: *differences between 1 and 2 clusters; **differences between 2 and 3 clusters; ***differences between 1 and 3 clusters (Dunn — Bonferroni post hoc method for multiple comparisons). Fig. 2. Prostate adenocarcinomas RE profiling by K-means clustering 0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 No rm al ize d m ea ns Cluster 1 Cluster 2 Cluster 3 TMPRSS2/ERG AR (1 iso f) AR (2 iso f) CDH1 NKX3-1 KRT18 PSA OCLN IGF1R IGFR tr PCA3 SCHLAP1 CDH2 FN1 VIM MMP2 MMP9 HOTAIR ESR1 ESR2 INSR (A iso f) INSR (B iso f) SRD5A1 SRD5A2 GCR (A G iso f) GCR (B iso f) GCR (in AG) GCR (in B) PRLR MKI67 CASP3 XIAP VDR PRL Experimental Oncology 40, 101–108, 2018 (June) 107 less presence of the TMPRSS2-ERG fusion, while AR, MMP9 and HOTAIR were affected only in cases with no fusion, and expression of KRT18, PCA3 and SCHLAP1 were changed in adenocarcinomas with the fusion. Noteworthy, in adenomas we have detected the highest SRD5A2 RE levels. It is known that in- creased SRD5A2 in adenomas provokes hyperplasia extension through NF-kB and AR isoform 7 conferring 5α-reductase inhibitors resistance [26]. From other hand decreased levels of SRD5A2 in adenocarcinomas is associated with the enhanced cell migration and invasion [7]. Moreover, when SRD5A2 gene was re- introduced, cell migration and invasion was inhibited, due to F-actin reorganization [27]. The high RE of lncRNA SCHLAP1 adenocarcino- mas with the fusion predict unfavorable prognosis of disease [28]. The other lncRNA, HOTAIR when it expressed at the high levels in adenocarcinomas without fusion enhances proliferation and invasion at late stages of prostate cancer [29]. Earlier, we could not find a correlation between frequency of the fusion transcript detection and CPC, such as the Gleason score and stage [3], therefore we didn’t analyze TMPRSS2/ERG dependent changes for investigated genes in sample groups with different CPC. Now we found many correlations between CPC and RE of the genes, encoding receptors/enzymes in total group of adenocarcinomas. Eight out of ten significant (p < 0.01 to p < 0.05) correlations were negative, i.e. expression of these genes was decreas- ing upon cancer progression. Furthermore, large quantity of the RE correlations of investigated genes allow us to perform the clustering of patients with ad- enocarcinomas. We clustered prostate adenocarcino- mas in three groups, based on the RE of 33 transcripts and also CPC characteristics. Our experimental data on the RE profiles in pros- tate adenocarcinomas are in concordance with the literature data [1, 2, 4]. It is widely accepted, that high expression of epithelial and luminal markers is usu- ally accompanied by low expression of mesenchymal markers, and that we have observed in cluster 1. Noteworthy, we showed simultaneous high expression of the fusion transcript, PCA3 and NKX3-1 in one clus- ter. It seems, that the fusion transcript and PCA3 do not influence negatively on expression of the tumor sup- pression gene NKX3-1 and vice versa, as they belong to different pathways [1, 4]. At the other hand, the oncogenic PCA3 pathway [28, 30], probably, acts in parallel with the ERG pathway [23, 24]. To summarize subtyping data, it is essential to note specific cluster features. Cluster 1, which contains all fusion positive adenocarcinomas, has the most char- acteristic expression profile namely fusion positive androgen dependent luminal subtype 1. Probably on- cogenic pathways in this group are ERG and PCA3 [25, 30] with high sensitivity to androgens, prolactin, IGF, INS stimulation oncogenic signaling. We suppose that cluster 3 is another luminal prostate cancer subtype most of all it is fusion negative with androgen independent and castra- tion resistant characteristics [30] (fusion negative androgen independent luminal subtype 2). It has molecular characteristic properties as the lowest expression of AR, epithelial markers (CDH1, OCLN, NKX3-1), SRD5A2, INSR (A and B) and IGF1R, high levels of mesenchymal markers (VIM, FN1, MMP2) and lncRNAs SCHLAP1 and HOTAIR. Moreover, in- creasing RE of HOTAIR may cause the resistance for enzalutamide [29]. It is unique cluster with the highest PRL level, which could promote cancer progression through the PRL/STAT5 signaling pathway [15]. This is could mean prolactin administration of this cluster carcinogenesis. We assume that cluster 2 is mixed stem-like an- drogen dependent subtype. The lowest expression of some epithelial and luminal markers KRT18, PCA3, PSA and high expression for mesenchymal markers CDH2, MMP2, and tendency to RE growth of FN1, and VIM are characteristics of stem-like (basal) prostate cancer, in spite of high AR, CDH1, NKX3-1 RE. The highest RE levels of ESR1, SRD5A2, INSR B, PRLR and lncRNA HOTAIR give to this cluster peculiar car- cinogenic property. CONCLUSIONS We have analyzed RE of 33 transcripts from 27 genes to find alterations in prostate tumors, de- pending on the presence or absence of the TMPRSS2/ ERG fusion. The significant differences of RE (p < 0.05) for 7 genes were detected, when compared adenocarcinomas and corresponding CNTs, using the 2-ΔCT model. Five genes (ESR1, KRT18, MKI67, MMP9, PCA3) showed differential expression, when the paired samples with compared that were bearing the fusion; and only two genes (INSR (B isof) and HOTAIR) — when samples did not expressed the fusion product. When the 2-ΔΔCT model was used, the number of the differentially expressed genes were six (MMP9, MKI67, PCA3, SCHLAP1) and two (ESR1, HOTAIR) when the tissues expressed the fusion or regardless the pres- ence of the fusion, respectively. When adenomas, CNT and adenocarcinomas were compared, the KRT18, PCA3 and SCHLAP1 genes showed significant differences in RE in adenocarcino- mas with the fusion. In adenocarcinomas without the fusion, such properties were shown by the AR (2 isof), MMP9, PRLR the HOTAIR genes. The ESR1 and SRD5A2 gene expression was altered in both types of adenocarcinomas. Using the statistical analysis, we created three clusters of adenocarcinomas, based on gene RE and CPC characteristic. One of clusters was represented by adenocarcinomas with the TMPRSS2/ERG fusion. Further experiments are needed to confirm these data in a larger patient cohort. REFERENCES 1. Zhou Y, Bolton E, Jones J. Androgens and androgen receptor signaling in prostate tumorigenesis. J Mol Endocrinol 2015; 54: 15–29. 108 Experimental Oncology 40, 101–108, 2018 (June) 2. Cancer Genome Atlas Research Network. The Mo- lecular Taxonomy of Primary Prostate Cancer. Cell 2015; 163: 1011–25. 3. Mevs L, Gerashchenko G, Rosenberg E, et al. Detection of prostate specific ETS fusion transcripts in cancer samples. Biopolym Cell 2017; 33: 256–67. 4. Shtivelman E, Beer T, Evans C. Molecular pathways and targets in prostate cancer. Oncotarget 2014; 5: 7217–59. 5. Zeng R, Liu Z, Sun Y, et al. Differential expression and function of AR isoforms in prostate cancer. Oncol Rep 2012; 27: 492–8. 6. Lin C, Yang L, Tanasa B, et al. Nuclear receptor- induced chromosomal proximity and DNA breaks underlie specific translocations in cancer. Cell 2009; 139: 1069–83. 7. Audet-Walsh Е, Yee T, Tam I, et al. Inverse regula- tion of DHT synthesis enzymes 5α-reductase types 1 and 2 by the androgen receptor in prostate cancer. Endocrinol 2017; 158: 1015–21. 8. Isikbay M, Otto K, Kregel S, et al. Glucocorticoid re- ceptor activity contributes to resistance to androgen-targeted therapy in prostate cancer. Horm Cancer 2014; 5: 72–89. 9. Kach J, Long T, Selman P, et al. Selective glucocorticoid receptor modulators (SGRMs) delay castrate-resistant prostate cancer growth. Mol Cancer Ther 2017; 16: 1680–92. 10. Sharon M, Pozniak Y, Geiger T, et al. TMPRSS2-ERG fusion protein regulates insulin-like growth factor-1 receptor (IGF1R) gene expression in prostate cancer: involvement of transcription factor Sp1. Oncotarget 2016; 7: 51375–92. 11. Samani A, Yakar S, Le Roith D, et al. The role of the IGF system in cancer growth and metastasis: overview and recent insights. Endocr Rev 2007; 28: 20–47. 12. Heidegger I, Kern J, Ofer P, et al. Oncogenic functions of IGF1R and INSR in prostate cancer include enhanced tumor growth, cell migration and angiogenesis. Oncotarget 2014; 5: 2723–35. 13. Jia M, Dahlman-Wright K, Gustafsson J. Estrogen receptor alpha and beta in health and disease. Best Pract Res Clin Endocrinol Metab 2015; 29: 557–68. 14. Setlur S, Mertz K, Hoshida Y, et al. Estrogen-depen- dent signaling in a molecularly distinct subclass of aggressive prostate cancer. J Natl Cancer Inst 2008; 100: 815–25. 15. Sackmann-Sala L, Goffin V. Prolactin-induced prostate tumorigenesis. Adv Exp Med Biol 2015; 846: 221–42 16. Kambale P, Haldar D, Kabi B, et al. Study of vitamin D receptor gene polymorphism (FokI, TaqI and ApaI) among prostate cancer patients in North India. J Clin Diagn Res 2017; 11: BC05–8. 17. Roberts J, Martin R, Piyarathna D, et al. Vita- min D receptor activation reduces VCaP xenograft tumor growth and counteracts ERG activity despite induction of TMPRSS2:ERG. Oncotarget 2017; 8: 44447–64. 18. Gerashchenko G, Mankovska O, Dmitriev A, et al. Epithelial-mesenchymal transition related gene expression in prostate tumours. Biopolym Cell 2017; 33: 335–55. 19. Flannery C, Rowzee A, Choe G, et al. Development of a quantitative PCR assay for detection of human insulin-like growth factor receptor and insulin receptor isoforms. Endo- crinol 2016; 157: 1702–8. 20. Schmidt U, Fuessel S, Koch R. Quantitative multi- gene expression profiling of primary prostate cancer. Prostate 2006; 66: 1521–34. 21. Rosenberg E, Gerashchenko G, Hryshchenko N, et al. Expression of cancer-associated genes in prostate tumors. Exp Oncol 2017; 39: 131–7. 22. Benjamini Y, Hochberg Y. Controlling the false discov- ery rate: a practical and powerful approach to multiple testing. J Royal Statist Society 1995; 57: 289–300. 23. Lapointe J, Kim Y, Miller M, et al. A variant TMPRSS2 iso- form and ERG fusion product in prostate cancer with implications for molecular diagnosis. Mod Pathol 2007; 20: 467–73. 24. Luo J, Liu S, Zuo Z, et al. Discovery and classification of fusion transcripts in prostate cancer and normal prostate tissue. Amer J Pathol 2015; 185: 1834–45. 25. Feng F, Brenner C, Hussain M, et al. Molecular pathways: targeting ETS gene fusions in cancer. Clin Cancer Res 2014; 20: 4442–8. 26. Austin D, Strand D, Love H, et al. NF-κB and andro- gen receptor variant 7 induce expression of SRD5A isoforms and confer 5ARI resistance. Prostate 2016; 76: 1004–18. 27. Aggarwal S, Singh M, Kumar A, et al. SRD5A2 gene expression inhibits cell migration and invasion in prostate cancer cell line via F-actin reorganization. Mol Cell Biochem 2015; 408: 15–23. 28. Smolle M, Bauernhofer T, Pummer K, et al. Current insights into long non-coding RNAs (LncRNAs) in prostate cancer. Int J Mol Sci 2017; 22: E473–90. 29. Zhang A, Zhao J, Kim J, et al. LncRNA HOTAIR enhances the androgen-receptor-mediated transcriptional program and drives castration-resistant prostate cancer. Cell Rep 2015; 13: 209–21. 30. Teixeira A, Marchit S, Emmanuel Dias-Neto E, et al. Going viral? Linking the etiology of human prostate cancer to the PCA3 long noncoding RNA and oncogenic viruses. EMBO Mol Med 2017; 9: 1327–30. Copyright © Experimental Oncology, 2018