Morfometrična analiza tkivnega označevalca p53 v adenokarcinomu prostate v povezavi z oceno po Gleasonu in vrednostjo PSA Morphometrical analysis of the p53 tissue marker in prostatic adenocarcinoma and its relationship to Gleason score and PSA level Avtor / Author Miha Munda1, Barabara Dariš2, Tine Hajdinjak3, Rajko Kavalar4, Draga Štiblar Martinčič1 Ustanova / Institute 1 Univerza v Mariboru, Medicinska fakulteta, Katedra za histologijo in embriologijo, Maribor, Slovenija; 2Univerza v Mariboru, Medicinska fakulteta, Inštitut za biomedicinske znanosti, Maribor, Slovenija; 3Splošna bolnišnica Murska Sobota, Oddelek za kirurgijo, Odsek za urologijo, Murska Sobota, Slovenija; 4Univerzitetni klinični center Maribor, Oddelek za patologijo, Maribor, Slovenija. 1University of Maribor, Faculty of Medicine, Department of Histology and Embryology, Maribor, Slovenia; 2University of Maribor, Faculty of Medicine, Institute of Biomedical Sciences, Maribor, Slovenia; 3General Hospital Murska Sobota, Department of Surgery, Division of Urology, Murska Sobota, Slovenia; 4University Medical Centre Maribor, Department of Pathology, Maribor, Slovenia. Ključne besede: rak prostate, tkivni označevalci, p53, imunohistokemija Key words: prostate cancer, tissue markers, p53, immunohistochemistry Članek prispel / Received 26.07.2012 Članek sprejet / Accepted 13.03.2013 Naslov za dopisovanje / Correspondence Asist. Miha Munda, dr. vet. med. Univerza v Mariboru, Medicinska fakulteta, Inštitut za anatomijo, histologijo in embriologijo, Ljubljanska 5, Sl-2000 Maribor, Slovenija Telefon +386 23305859 Fax +38622345600 E-pošta: miha.munda@uni-mb.si Izvleček Namen Rak prostate je v svetu zelo pogosta maligna bolezen. K natančnejši oceni bolezni bi lahko pripomogli tkivni označevalci, kot je na primer tudi p53. V vzorcih adenokarcinoma prostate slovenske populacje smo morfometrično analizirali izražanje p53 in njegovo povezavo z oceno po Gleasonu in vrednostjo PSA ter starostjo bolnikov. Metode V retrospektivno pilotno študijo smo vključili 25 bolnikov z opravljeno radikalno prostatektomijo. Tkivni označevalec p53 smo določili imunohi-stokemično in ga izrazili kot indeks p53. Statistično smo poiskali povezave indeksa p53 z oceno po Gleasonu pred in po operaciji, vrednostjo PSA in starostjo bolnikov. Abstract Purpose Prostate cancer is one of the most common malignancies worldwide. The possible prognostic value of tissue markers, such as p53, may give a better understanding of this disease, improve staging accuracy, and help in choosing optimal treatment. In this study, we examined p53 expression and its correlation with Gleason score, prostate-specific antigen (PSA) levels, and patient age in a Slovenian population. Methods: This retrospective pilot study included 25 radical prostatectomy patients. The immunohis-tochemical expression of p53 was determined and expressed as a p53 index. In addition, correlations be- Rezultati Tkivni označevalec p53 je v raku prostate neenakomerno porazdeljen neodvisno od lokalnega Gleason vzorca, vendar korelira z oceno po Gleasonu po operaciji in mejno korelira z vrednostjo PSA. Statistično značilno so med seboj povezani tudi ocena po Gleasonu pred in po operaciji, vrednost PSA in starost bolnika. Zaključek Potrdili smo, da ima p53 lahko napovedno vrednost kljub manjšemu številu primerov, vključenih v to raziskavo. Rezultati pilotne študije kažejo, da je p53 obetajoč tkivni označevalec in bi lahko bil uporaben kot dodatni diagnostični parameter. tween p53 index, Gleason score before and after prostatectomy, PSA level, and patient age were statistically evaluated. Results: The p53 tissue marker was unevenly distributed in prostate cancer independently of local Gleason pattern; however, its expression correlated with Gleason score after prostatectomy and showed borderline correlation with PSA. There were also statistically significant correlations between Gleason score before and after prostatectomy, PSA level, and patient age. Conclusions Despite the low number of cases presented in this study, our results demonstrate that p53 may have predictive value in prostate cancer. Thus, p53 is a promising tissue marker that can be used as an additional diagnostic parameter. INTRODUCTION Prostate cancer is one of the most common malignancies worldwide (1), particularly in developed countries (2), as well as in Slovenia (3). There are many diagnostic and prognostic predictors for prostate cancer, among which Gleason histologic scoring (4) and prostate-specific antigen (PSA) levels are the most clinically relevant. However, these criteria and other clinical diagnostic data often do not sufficiently satisfy the clinical requirements for predicting the course of disease development or for deciding optimal therapy (5-8). Some tissue markers, such as bcl-2, p53, Ki-67, and caveolin-1, play an important role in the detection and identification of prostate cancer (5, 9). The possible predictive value of tissue markers may lead to a better understanding of this disease, improve staging accuracy, and help in choosing optimal treatment. Tumor growth occurs due to the loss of balance between cell growth (proliferation) and/or cell death (apoptosis), mostly because of increased cell proliferation (10). Proliferation and apoptosis could be determined by tissue markers. Induction of the gene that encodes p53, a tumor-inhibitory protein, con- trols the cell cycle of damaged cells, and if required, directs the cell to undergo apoptosis, thereby preventing irreparable cells from proliferating (11, 12). In tumor cells, the p53 gene is mainly mutated causing these cells to divide uncontrollably (13). It has been reported that in prostate cancer, p53 expression correlates with clinical parameters, and as such, can predict biochemical recurrence following radical prostatectomy (14-20). The purpose of this preliminary study was to determine the possible significance of the p53 tissue marker as a prognostic indicator in patients undergoing radical prostatectomy. To this end, we morpho-metrically evaluated p53 expression levels in prostate cancer specimens, and determined its relationship to Gleason score, PSA levels, and patient age in a Slovenian population. MATERIAL AND METHODS At the beginning of this study, the p53 (NCL-L-p53-DO7, Leica Biosystems, Melbourne, Australia) antibody was tested to determine optimal staining conditions. Specifically, different dilutions (1:25, 1:30, 1:50, 1:60, 1:75, 1:100) were tested with the immunohistochemical protocol to determine the best dilution to use. We also examined p53 expression in various tissues of different tumor types to determine the best tissue to use as a positive control in our experiments. We performed a preliminary retrospective study on 25 patients with prostatic adenocarcinoma. Gleason score before (needle biopsy) and after operation (radical prostatectomy), PSA levels before needle biopsy, and patient age were included in the data pool. Patient data were anonymously obtained from the Department of Urology at the University Medical Centre Maribor. The tissue blocks were collected from the Department of Pathology, where the tissue samples were fixed in 10% buffered formalin for 1-3 days after radical prostatectomy, processed in a tissue processor (TP 1020, Leica), and embedded in paraffin (Paraplast, McCormick Scientific, St. Louis, MO 63134, USA). Paraffin-embedded tissue samples were cut in 4-pm-thick sections and treated according to the p53 immunohistochemical staining protocol (clone DO7, Leica/Novocastra,). Briefly, deparaffiniza-tion, rehydration in 100%, 96%, and 70% alcohol, heat-induced antigen retrieval in citrate buffer (pH 6.03), and blocking of endogenous peroxidase activity were performed. This was followed by blocking of nonspecific binding, incubation with anti-p53 (1:50 dilution) for 90 min, incubation with polymeric peroxidase-linked secondary antibody for 40 min, and treated with diaminobenzidine (DAB, 1:20 dilution) for 5 min. In the last step, the nuclei were counterstained with Mayer's aqueous hema-toxylin for 1 min, after which slides were covered with a cover glass. Breast cancer tissue was used as a positive control for p53 expression, and prostatic adenocarcinoma with no primary antibody applied was used as the negative control. Analysis of p53 tissue marker expression was performed under a microscope (DM 2500, Leica). For each specimen, three fields of view with the highest density of p53 nuclear staining ("hot spots") (Fig. 1) were examined under a 400X magnification and chosen for quantitative analysis. Cell nuclei (1000) of prostatic glands were counted in the three fields of view on each slide, and those stained with p53 were counted separately. The nuclear staining of p53 was expressed as a p53 index (number of cells with positive p53 staining per 1000 counted cells). The p53 index was correlated with Gleason scores and PSA levels using Spearman's rank correlation coefficient. Statistical analysis was carried out using the IBM SPSS Statistics version 19 (SPSS Inc., Chicago, IL, USA). P-values less than 0.05 (two tailed) were considered statistically significant. Figure 2. Uneven p53 staining at Gleason score of 6; 100X magnification. RESULTS Gleason score before and after operation, PSA levels before needle biopsy, patient age, and tissue blocks were available for 25 patients with prostate adenocarcinoma. The mean patient age at the time of diagnosis was 63±5 years (range 53-71). The results of our statistical analyses are in Table 1. The nuclear staining of p53 was unevenly distributed, regardless of local Gleason pattern (Fig. 2). The p53 index ranged between 0.050 and 0.206 (mean 0.135±0.42). It significantly and positively correlated with Gleason score after operation (r=0.483; P=0.023) (Table 1), and showed a borderline statistically significant correlation (r=0.413; P=0.056) with PSA level. Gleason scores before (r=0.439; P=0.028) and after operation (r=0.414; P=0.04) correlated with PSA level. In addition, Gleason scores after operation also correlated with patient age (r=0.598; P=0.002). There was also a significant correlation (r=0.414; P=0.013) between Gleason score before and after operation. PSA levels ranged between 1.81 and 34.4 ng/ml (mean 8.02 ng/ml ±7.02). PSA level before needle biopsy significantly (r=0.478; P=0.016) correlated with patient age. There were no significant correlations between p53 index and patient age or between p53 index and Gleason score before operation. CONCLUSIONS The prognosis after prostatectomy is usually based upon clinical findings, such as the preoperative PSA level, and pathological findings, such as Gleason score and pathological stage. These conventional variables have proved useful in predicting biochemical failure. However, cancers with similar characteristics can exhibit different chemical behaviors and biological properties, thereby yielding different clinical outcomes. On the other hand, currently available conventional clinical variables may not be sufficient to identify indolent disease for which an operation may not be necessary. Other variables that may improve outcome prediction in prostate cancer include tissue markers. Knowledge of the staining characteristics of these tissue markers may explain the tumor dynamics and aggressiveness, which could consequently lead to a better prediction of disease outcome. The goal of our study was to determine the correlation between p53 expression with Gleason score, PSA level, and patient age, and to identify the possible predictive value of p53 in Slovenian patients following radical prostatectomy. p53 staining in slow progressing prostatic adenocarcinoma is weakly expressed and is irregularly disseminated in the tissue, while in some other cancer types it is distributed more evenly, and is thus easier to evaluate. We used a specific three field counting approach on classic microscopy image processing, trying to reach more indicative p53 values. In the present pilot study, we found out that p53 expression strongly correlates with Gleason score after operation, and exhibits a borderline statistically significant correlation with PSA level. These data indicate that p53 expression could be an indicator of malignancy. In addition, as Table 1: Correlations between p53 index, Gleason score, PSA level, and patient age. (ng - nanogram; mL - milliliter; NS - not significant; RP - radical prostatectomy; r - correlation coefficient) p53 index (0.135 ± 0.42) PSA level (8.02 ng/mL ± 7.02) Gleason score aftei RP age (63 years ± 5) NS r=0.478 P=0.016 r=0.598 P=0.002 Gleason score after RP r=0.483 P=0.023 r=0.414 P=0.040 — Gleason score on needle biopsy NS r=0.439 P=0.028 r=0.492 P=0.013 PSA level (8.02 ng/mL ± 7.02) r=0.413 P=0.056 — r=0.414 P=0.040 expected, patient age and Gleason score after operation positively correlate as well. Despite the low number of cases, our results show that PSA serum levels have a significant dual correlation with Gleason score before operation (on needle biopsy), and with Gleason score after operation. A study by Bauer and coworkers (16) demonstrated that p53 expression in prostatectomy specimens significantly predicts disease recurrence. It has also been reported that pre-operative patients who are p53-negative have a better prognosis for a longer period of time following radical prostatectomy (9). Thus, our data are in accordance with other studies, which have shown that p53 is a useful prognostic factor of patients with radical prostatectomy (21, 22), and also of patients after radiation therapy failure (23). Here, we confirm that p53 may have predictive value according to its significant correlation with Gleason score and PSA level after operation, despite the low number of cases that were included in our study. Future studies will include a larger sample size, and will also investigate other tissue markers, as we believe that examining a combination of different tissue markers might improve their prognostic value. These preliminary results were presented at the International Symposium of Clinical and Applied Anatomy, Maribor, Slovenia, July 2011. ACKNOWLEDGEMENTS We would like to thank Dr. Boris Pospihalj, Head of the Department of Pathology, Hospital in Slovenj Gradec, Slovenia, for his help and support. REFERENCES 1. Garcia M, Jemal A, Ward EM, Center MM, Hao Y, Siegel RL, et al. Global Cancer Facts & Figures. American Cancer Society 2007, Atlanta. 2. Jemal A, Bray F, Center MM, Ferlay J, Ward E, For-man D, et al. Global cancer statistics. Ca Cancer J Clin 2011; 61: 69-90. 3. Primic Žakelj M. Cancer Incidence in Slovenia 2006. Institute of Oncology, 2007, Ljubljana. 4. Epstein JI, Partin AW, Suvageot J, Walsh PC. Prediction of progression following radical prostatectomy. A multivariate analysis of 721 men with long-term follow-up. Am J Surg Pathol 1996; 20: 286-92. 5. Goto T, Nguyen BP, Nakano M, Ehara H, Yama-moto N, Deguchi T. Utility of Bcl-2, P53, Ki-67, and caveolin-1 immunostaining in the prediction of biochemical failure after radical prostatectomy in a Japanese population. Urology 2008; 72(1): 167-71. 6. Jhaveri F, Zippe CD, Klein EA, Kupelian PA. Biochemical failure does not predict overall survival after radical prostatectomy for localized prostate cancer: 10-year results. Urology 1999; 54(5): 884-90. 7. Vergis R, Corbishley CM, Norman AR, Bartlett J, Jhavar S, Borre M, et al. Intrinsic markers of tumour hypoxia and angiogenesis in localised prostate cancer and outcome of radical treatment: a retrospective analysis of two randomised radiotherapy trials and one surgical cohort study. Lancet Oncol 2008; 9(4): 342-51. 8. Kehinde EO, Maghrebi MA, Anim JT. The importance of determining the aggressiveness of prostate cancer using serum and tissue molecular markers. Can J Urol 2008; 15(2): 39 6 7 - 74. 9. Oxley JD, Winkler MH, Parry K, Brewster S, Abbot C, Gillatt DA. p53 and bcl-2 immunohistochemis-try in preoperative biopsies as predictors of bio- chemical recurrence after radical prostatectomy. BJU Int 2002; 89(1): 27-32. 10. Alberts B, Johnson A, Lewis J, Raff M, Roberts K, Walter P. Molecular biology of the cell, 5th edn. New York; Garland Publishing 2008: 1217. 11. Thomas NSB, Latchman DS. Apoptosis and cell cycle control in cancer, 1st edn. Oxford; Bios Scientific Publishers 1996: 59-63. 12. Thomas NSB, Latchman DS. Apoptosis and cell cycle control in cancer, 1st edn. Oxford; Bios Scientific Publishers 1996: 116-18. 13. Alberts B, Johnson A, Lewis J, Raff M, Roberts K, Walter P. Molecular biology of the cell, 5th edn. New York; Garland Publishing 2008: 1001. 14. Miyake H, Muramaki M, Kurahashi T, Takenaka A, Fujisawa M. Expression of potential molecular markers in prostate cancer: correlation with clini-copathological outcomes in patients undergoing radical prostatectomy. Urol Oncol 2008; 28(2): 145-51. 15. Munda M, Hajdinjak T, Kavalar R, Štiblar Martinčič D. p53, Bcl-2 and AgNOR tissue markers: Model approach in predicting prostate cancer characteristics. JIMR 2009; 37: 1868-76. 16. Bauer JJ, Sesterhenn IA, Mostofi FK, McLeod DG, Srivastava S, Moul JW. Elevated levels of apoptosis regulator proteins p53 and bcl-2 are independent prognostic biomarkers in surgically treated clinically localized prostate cancer. J Urol 1996; 156(4): 1511-16. 17. Agrawal S, Dunsmuir WD. Molecular markers in prostate cancer. Part I: predicting lethality. Asian J Androl 2009; 11: 14-21. 18. Chin JL, Reiter RE. Molecular markers and prostate cancer prognosis. Clin Prostate Cancer 2004; 3: 157-64. 19. Ross JS, Sheehan CE, Fisher HA. Prognostic markers in prostate cancer. Expert Rev Mol Diagn 2002; 2: 129-42. 20. Moul JW. Angiogenesis, p53, Bcl-2 and Ki-67 in the progression of prostate cancer after radical prostatectomy. Eur Urol 1999; 35: 399-407. 21. Quinn DI, Henshall SM, Head DR, Golovsky D, Wilson JD, Brenner PC, et al. Prognostic significance of p53 nuclear accumulation in localized prostate cancer treated with radical prostatectomy. Cancer Res 2000; 60(6); 1585-94. 22. Leibovich BC, Cheng L, Weaver AL, Myers RP, Bostwick DG. Outcome prediction with p53 im-munostaining after radical prostatectomy in patients with locally advanced prostate cancer. J Urol 2000; 163(6): 1756-60. 23. Rakozy C, Grignon DJ, Li Y, Gheiler E, Gurura-janna B, Pontes JE, et al. p53 gene alterations in prostate cancer after radiation failure and their association with clinical outcome: a molecular and immunohistochemical analysis. Pathol Res Pract 1999; 195(3): 129-35.