Urology and Andrology

Open journal

ISSN 2572-4665

Determination of Circulating Tumor Cells by Flow Cytometry in the Bladder Cancer Patients

Elif Ercan, Ender Sımsek, Ozen Ozensoy Guler, Abdullah Erdem Canda, Ali Fuat Atmaca and Ahmet Carhan*

Ahmet Carhan, PhD

Professor, Department of Medical Biology, Faculty of Medicine, Ankara Yildirim Beyazit University, Bilkent Yolu 3. Km, Ankara, Turkey; Tel. (0090-312) 324 15 55; Fax: (0090-312) 324 15 05; E-mail: ahmet_carhan@hotmail.com

INTRODUCTION

Cancer is a group of diseases described by unregulated cell growth and the invasion and spread of cells from the origin to other locations in body.1

Bladder Cancer

Bladder cancer (BCa) is the 9th most common cancer worldwide and is observed in men is three to four times higher compared to women.2,3 Deaths from BCa are mainly related to distant metastasis. Therefore, the prevention of metastatic disease remains a very important target in BCa.4

Risk Factors

The main preventable risk factor for BCa is smoking cigarettes in both men and women.5 In addition, occupational diseases (rubber, certain dyes and textiles, paint, and hairdressing supplies), a diet fried meats and an infection caused by Schistosoma hematobium are other risk factors for BCa.6

Transurethral Resection and Radical Cystectomy

Non-muscle invasive disease is usually treated with transurethral resection of bladder tumor (TUR-BT) with or without intravesical therapy, depending on tumor grade and depth of invasion.7 The most effective treatment for the muscle invasive and recurrent high-grade non-muscle invasive urothelial carcinoma of the bladder (UCB) is radical cystectomy (RC) with bilateral pelvic lymphadenectomy with or without perioperative chemotherapy.8

Properties of Bladder Cancers’ Biomarkers

Most patients have superficial tumors and they can be completely removed. However, a great majority of these patients will have a recurrence by 15 years. In these cases, early diagnosis is very important and allows for better clinical outcomes. Potential bladder tumor markers can be used for earlier detection of recurrence; complementary testing to urine cytology to improve the detection rate and managing the cytoscopic evaluation of patient follow-up.7

An ideal BCa marker should have high sensitivity and specificity, be less expensive andmore relieable compare to the urine cytology test.9

Circulating Tumor Cells

Metastasis is the result of the dissemination BCa cells spread into the blood or lymph nodes. However, it is difficult to diagnose metastatic disease before a surgical procedure.10 Most cancer deaths are dependent on metastasis to distant organs due to the dissemination of circulating tumor cells (CTCs), which spread out from the primary tumor. CTCs are related to metastasis.11

One CTC per 109 blood cells was detected in patients with advanced tumors.12 However, it is hard to detect CTC from thelimited amount of blood sample. The most commonly used methods are composed of two steps; sample enrichment and detection. In the detection of CTCs, antigen presenting difference between normal blood and tumor cells is taken into consideration.13,14

Peripheral blood mononuclear cells (PBMC) are used to CTC enrichment depending on the density gradient. PBMC consisting of lymphocytes, monocytes, platelets and tumor cells; are seperated from other cells such as erythrocytes, granulocytes and platelets by density differences.15 There are 3 methods for this process; Ficoll gradient method, OncoQuick method and Lymphoprep method.6,15 The OncoQuick method is a new system and the use of 15-35 mL blood sample in this system is the biggest disadvantage.15,16 Blood contamination risk is less in Ficoll method.6 There are only 2000 to 10000 leucocyte contaminations per milliliter.16,17 Leukocyte contamination is minimized by CD45 depletion.18 CTCs express epithelial antigens, therefore, specific antibodies against epithelial antigens are used to detect CTCs. Ep CAM and cytokeratins are used for positive selection, CD45 for negative selection.16,18

Isolated cells are analyzed by different methods. The most well-known CTC detection method is the CellSearch (Janssen Diagnostics, LLC., Raritan, NJ, USA) system approved by the US FDA.19,20 The CTC detection sensitivity of this system is 78.9% to 82%.21,22 CTC detection in metastatic breast, prostate and colon cancer with the CellSearch system is used prognostically in clinical practice and CTC cut-off values for have been determined. These cut-off values are ≥5, ≥5 and ≥3 for breast, prostate and colon cancer in 7.5 mL of blood, respectively.13

In most epithelial cancers CTCs are detectable and make possible early evaluation for neoadjuvant chemotherapy in BCa. The presence of CTCs in patients undergoing cystectomy was preoperatively an independent adverse prognostic factor for cancerfree survival.23 Highly sensitive, real-time monitoring of CTCs can be applied with advanced in vivo flow cytometry using diverse detection schematics without the need to extract blood samples.11

Most studies have shown that, the presence of CTCs in patients after RC have a significantly increased risk of disease recurrence and mortality.8

In the study, we aim to show the pre-operation and postoperation enumeration of CTCs, using a conventional method. We preferred to use density-based (Ficoll) and immunomagnetic separation (CD45 negative selection) for the CTC enrichment and CTCs were detected and analysed by flow cytometry.

MATERIALS AND METHODS

The peripheral blood samples (7.5 mL) were collected in vacutainer 10 mL tubes containing the anticoagulant EDTA from cancer patients (Department of Urology, Ankara Yildirim Beyazit University (AYBU) Ankara Ataturk Training and Research Hospital, Ankara, Turkey) and healthy volunteers. All patients signed an informed-consent form to participate in the study, which was approved by the Social and Human Sciences Ethics Committee of AYBU, Turkey (28.08.2015-96). Blood samples were stored at room temperature and assayed within three hours. Mononuclear cells were isolated by Ficoll gradient centrifugation. Then, the retained cells were coated with anti-CD45 microbead to eliminate leucocytes. Magnetic positive cell population were labelled with Anti CK 14, 15, 17, 19+, Anti CK 7,8+, Anti EpCAM+ and Anti CD45.18

Flow Cytometric Analysis of Peripheral Blood Mononuclear Cells (PBMC)

Fresh venous blood was taken from patients before and after surgery and with the density-gradient centrifugation method the peripheral blood mononuclear cells were isolated. Direct immunofluorescence assay was performed using monoclonal antibodies against cell surface markers. Sorting was carried out with BD FACS Aria III Cell Sorter.

Statistical Analysis

The distribution of age and CTC counts was examined by Shapirowilk test. Age was expressed as mean±standard deviation as it showed normal distribution, CTC counts are expressed in median (min-max: minimum-maximum), categorical variables such as gender were expressed in number (%).

The CTC counts of the patient group before and after the operation and the CTC counts of the control group were analyzed by Mann-Whitney U-test. The difference in CTC counts according to operation of the patient group was analyzed by Wilcoxon test. Statistical significance level was accepted as p<0.05.

IBM SPSS Statistics 21.0 (IBM Corp. released 2012. IBM SPSS Statistics for Windows, version 21.0, Armonk, NY, USA: IBM Corp.) program was used for statistical analysis.

RESULTS

The patient group included one (1) female and nine (9) males. The control group contained the same number. The mean age of BCa patient andcontrol group wascalculated as 60.70±17.07 years and 56.90±16.03 years, respectively (Table 1).

 

Table 1. Demographic Characteristics
Patient Group Control Group General
Age 60.70±17.071 56.90±16.03 58.80±16.23
Gender
Female 1 (10.0)2 1 (10.0) 2 (10.0)
Male 9 (90.0) 9 (90.0) 18 (90.0)
Invasive status 4 (40.0) 4 (40.0)
Operation type
RC 2 (20.0) 2 (20.0)
TUR 8 (80.0) 8 (80.0)
1Mean±standard deviation
2number (%)

 

 

All the patients in this prospective study had detectable CTCs. And no CTCs were evaluated on controls. CTCs were evaluated five non-invasive and five invasive patients. Five of ten (50%) patients were studied before and after operation. The preoperation and post-operation CTC counts of the patients included in our study are as in Table 2.

 

 

Table 2. CTC Counts of Patients
Patient No Operation Type CTC Counts before Opere CTC Counts after Opere
1 TUR 13 0
2 TUR 8
3 TUR 5
4 TUR 5 0
5 TUR 21
6 TUR 6 5
7 TUR 15
8 RC 6 2
9 TUR 6
10 RC 4 0

 

Median CTC count before the operation was 6.0 (minmax: 4.0 to 21.0) and after the operation was calculated as 0.0 (minmax: 0.0-5.0) (Table 3). CTC counts decreased significantly after the operation (Z=2.032; p=0.042). No CTC was detected in the control group. The pre-operative CTC counts of the patient group were found significantly higher than the control group (Z=4.047, p<0.001). There was no statistically significant difference between the post-operative CTC counts and the CTC counts of the control group (p=0.254).

 

Table 3. The Distribution of CTC Counts in Patient and Control Group
Patient Group Patient Group Control Group Test Statistics p
n=10 n=10
Pre-Operation 6.0 (4.0-21.0)2 0.0 (0.0-0.0) 4.047 <0.001
n=5 n=10
Post-Operation 0.0 (0.0-5.0) 0.0 (0.0-0.0) 2.070 0.254
Test Statistics 2.032
p 0.042
1In the control group, the results of the single measurements are given.
2median (min-max)

 

DISCUSSION

CTCs are primary tumor cells or metastatic cells in the circulatory system.13 CTCs were first mentioned by Ashworth in 1869.24 The detection of CTCs by using surface antigens is possible with modern techniques.25

Today, individual therapy in cancer has become very important. With the detection and characterization of CTC in patients, this enabled us to use individual treatment. The CTC studies have reached an advanced level with the molecular characterization.26 The detection methods have not been included in clinical practice as their specificity is not yet known.

In non-invasive “liquid biopsy” procedure; exosomes, free circulating DNAs and CTCs are also used in addition to mi RNAs and proteins.27 CTC analyzes allow us follow-up and individualization of treatment.28

The CTC detection study with CellSearch system in patients with BCa was first performed by Naoe et al in 2007. The count was 8 (57%) of 14 BCa patients with distant metastasis, and no CTC was found in 12 BCa patients without metastasis.29 In 2008, Gallagher and colleagues detected CTC with the CellSearch system in 14 (44%) of 33 patients with BCa with distant metastasis.30

There is no specified “CTC cut-off” in the CellSearch system for BCa. Up to now, the sensitivity of the CTC detection in BCa with the CellSearch system has been rather low and the detection ratio have been found 17% to 23%.23 With the CellSearch system, CTC could not be detected in early stage BCa.31

CTC in BCa has been reported to be associated with progression free survival (PFS).32 CTC detection have also been used in various studies, such as; with PCR-based techniques,6,11 with CellSearch system,31,33 but they haven’t been found as sensitive as like routine urology tests.31 Cytokeratins are intracellular proteins, so they can only be detected in urine after cell death.34

In this study, we used flow cytometry approach for the CTC detection.Although CTCs have a heterogeneous nature, this allows us to use multiple markers.13 Various antibodies has been utilised in this method. After CD45 depletion, the detection sensitivity with flow cytometry was reported between 57% to 94%.35

However, it could not be determined a specified “CTC cut-off” for BCa by flow cytometry as the patient number was not enough.

The detection in BCa was performed using flow cytometry as in the other studies. There was a significant decrease in CTC counts for post-operation, no CTC was detected in the control group. The pre-operative CTC counts for the patient group were found to be significantly higher than the control group. The results are promising in terms of CTC detection in BCa by flow cytometry. The study showed a dramatic change between pre- and post-operation CTC counts.

There are systems which doesn’t sort CTCs as mentioned in this article. In this study, we managed to count the CTCs using flow cytometry and could also perform sorting although we did not. If they cultured and characterized, this may provide a better understanding of key biological mechanisms underlying cancer growth and dissemination.36 The results obtained in this study may give oppurtunity to use CTC for diagnostic and therapeutic purposes.

CONCLUSION

The results are promising in terms of CTC detection in BCa by flow cytometry. The study showed a dramatic change between pre and post-operation CTC counts as predictive and prognostic biomarker.

ACKNOWLEDGEMENTS

This study was supported by grants of the AnkaraYildirim Beyazit University Scientific Research Projects with project number of 2593.

CONFLICTS OF INTEREST

The authors declare that they have no conflicts of interest.

1. Pecorino L. Molecular Biology of Cancer, Mechanisms, Targets and Therapeutics. 3rd Oxford, UK: Oxford University Press; 2012.

2. Babjuk M, Oosterlinck W, Sylvester R, et al. EAU guidelines on non-muscle-invasive urothelial carcinoma of the bladder, the 2011 update. Eur Urol. 2011; 59: 997-1008. doi: 10.1016/j.eururo.2011.03.017

3. World Health Organization. Web site. http://www.who.int/healthinfo/global-burden-disease/GBD-report-2004updatepart2.pdf?ua=1. Accessed October 12, 2017.

4. Fuessel S, Kunze D, Wirth MP. Bladder cancer biology. In: Canda AE, ed. Bladder Cancer – From basic science to Robotic Surgery. 1st ed. Rijeka, Croatia: InTech; 2010: 4-44.

5. Ferlay J, Soerjomataram I, Ervik M, et al. World cancer research fund international. 2012. London, UK. Web site. http://www.wcrf.org/int/cancer-facts-figures/worldwide-data. Accessed October 12, 2017.

6. Nezos A, Pissimisis N, Lembessis P, et al. Detection of circulating tumor cells in bladder cancer patients. Cancer Treat Rev. 2009; 35(3): 272-279. doi: 10.1016/j.ctrv.2008.11.003

7. Dawam D. Biomarkers of bladder cancer in urine: Evaluation of diagnostic and prognostic significance of current and potential markers. In: Canda AE, ed. Bladder Cancer-From Basic Science to Robotic Surgery. 1st ed. Rijeka, Croatia: InTech; 2012: 47-59. doi: 10.5772/26654

8. Soave A, Riethdorf S, Pantel K, Fisch M, Rink M. Do circulating tumor cells have a role in deciding on adjuvant chemotherapy after radical cystectomy? Curr Urol Rep. 2015; 16(7): 46. doi: 10.1007/s11934-015-0520-z

9. Konety BR. Molecular markers in bladder cancer: A critical appraisal. Urol Oncol. 2006; 24: 326-337. doi: 10.1016/j.urolonc.2005.11.023

10. Kinjo M, Okegawa T, Shigeo H, Kikuo N, Higashihara E. Detection of circulating MUC7-positive cells by reverse transcription-polymerase chain reaction in bladder cancer patients. Int J Urol. 2004; 11(1): 38-43. doi: 10.5772/26654

11. Leotsakos I, Dimopoulos P, Gkioka E, et al. Detection of circulating tumor cells in bladder cancer using multiplex PCR assays. Anticancer Res. 2014; 34(12): 7415-7424.

12. Yu M, Stott S, Toner M, Maheswaran S, Haber DA. Circulating tumor cells: Approaches to isolation and characterization. J Cell Biol. 2011; 192(3): 373-382. doi: 10.1083/jcb.201010021

13. Lowes LE, Allan AL. Recent advances in the molecular characterization of circulating tumor cells. Cancers (Basel). 2014; 6: 595-624. doi: 10.3390/cancers6010595

14. Hou HW, Warkiani ME, Khoo BL, et al. Isolation and retrieval of circulating tumor cells using centrifugal forces. Sci Rep. 2013; 3: 1259. doi: 10.1038/srep01259

15. Rosenberg R, Gertler R, Friederichs J, et al. Comparison of two density gradient centrifugation systems for the enrichment of disseminated tumor cells in blood. Cytometry. 2002; 49(4): 150-158. doi: 10.1002/cyto.10161

16. Paterlini-Brechot P, Benali NL. Circulating tumor cells (CTC) detection: Clinical impact and future directions. Cancer Lett. 2007; 253: 180-204. doi: 10.1016/j.canlet.2006.12.014

17. Zabaglo L, Ormerod MG, Parton M, Ring A, Smith IE, Dowsett M. Cell filtration-laser scanning cytometry for the characterisation of circulating breast cancer cells. Cytometry A. 2003; 55(2): 102-108. doi: 10.1002/cyto.a.10071

18. Simsek E, Ozensoy Guler O, Carhan A, et al. The determination of circulating tumor cells in peripheral blood by flow cytometry. Niche. 2014; 3: 0-0. doi: 10.5152/niche.2015.246

19. Ross JS, Slodkowska EA. Circulating and disseminated tumor cells in the management of breast cancer. Am J Clin Pathol. 2009; 132(2): 237-245. doi: 10.1309/AJCPJI7DEOLKCS6F.

20. Allan AL, Keeney M. Circulating tumor cell analysis: Technical and statistical considerations for application to the clinic. J Oncol. 2010; 2010. doi: 10.1155/2010/426218

21. Deng G, Herrler M, Burgess D, Manna E, Krag D, Burke JF. Enrichment with anti-cytokeratin alone or combined with anti-EpCAM antibodies significantly increases the sensitivity for circulating tumor cell detection in metastatic breast cancer patients. Breast Cancer Res. 2008; 10(4): R69. doi: 10.1186/bcr2131

22. Riethdorf S, Fritsche H, Müller V, et al. Detection of circulating tumor cells in peripheral blood of patients with metastatic breast cancer: A validation study of the CellSearch system. Clin Cancer Res. 2007; 13(3): 920-928. doi: 10.1158/1078-0432.CCR-06-1695

23. Alva A, Friedlander T, Clark M, et al. Circulating tumor cells as potential biomarkers in bladder cancer. J Urol. 2015; 194: 790-798. doi: 10.1158/1078-0432.CCR-06-1695

24. Ashworth T. A case of cancer in which cells similar to those in the tumours were seen in the blood after death. Aust Med J. 1869; 14: 146-149.

25. Alberts B, Johnson A, Lewis J, et al. Molecular Biology of the Cell. 6th ed. New York, USA: Garland Science; 2015.

26. Balic M, Lin H, Williams A. Progress in circulating tumor cell capture and analysis: Implications for cancer management. Expert Rev. 2012; 12(3): 303-312. doi: 10.1586/erm.12.12

27. Zhang C, Guan Y, Sun Y, Ai D, Guo Q. Tumor heterogeneity and circulating tumor cells. Cancer Lett. 2016; 374(2): 216-223. doi: 10.1016/j.canlet.2016.02.024

28. Eccles SA, Aboagye EO, Ali S, et al. Critical research gaps and translational priorities for the successful prevention and treatment of breast cancer. Breast Cancer Res. 2013; 15(5): 92. doi: 10.1186/bcr3493

29. Naoe M, Ogawa Y, Morita J, et al. Detection of circulating urothelial cancer cells in the blood using the CellSearch System. Cancer. 2007; 109: 1439-1445. doi: 10.1002/cncr.22543

30. Gallagher DJ, Milowsky MI, Ishill N, et al. Detection of circulating tumor cells in patients with urothelial cancer. Ann Oncol. 2008; 20(2): 305-308. doi: 10.1093/annonc/mdn627

31. Gazzaniga P, Gradilone A, de Berardinis E, et al. Prognostic value of circulating tumor cells in nonmuscle invasive bladder cancer: A cellsearch analysis. Ann Oncol. 2012; 23(9): 2352-2356. doi: 10.1093/annonc/mdr619

32. Nagata M, Muto S, Horie S. Molecular biomarkers in bladder cancer: Novel potential indicators of prognosis and treatment outcomes. Dis Markers. 2016. doi: 10.1155/2016/8205836

33. Rink M, Chun FKH, Minner S, et al. Detection of circulating tumour cells in peripheral blood of patients with advanced nonmetastatic bladder cancer. BJU Int. 2011; 107: 1668-1675. doi: 10.1111/j.1464-410X.2010.09562.x.

34. Alkibay T, Gürocak S. Ürogenital tümörler. In: Anafarta K, Arıkan B, Bedük Y, ed. Temel Üroloji. 4th ed. Ankara, Turkey: Güneş Tıp Kitapevi; Solar Medical Book; 2011: 737-739.

35. Liu Z, Fusi A, Klopocki E, et al. Negative enrichment by immunomagnetic nanobeads for unbiased characterization of circulating tumor cells from peripheral blood of cancer patients. J Transl Med. 2011; 9: 70. doi: 10.1186/1479-5876-9-70

36. Hong B, Zu Y. Detecting circulating tumor cells: Current challenges and new trends. Theranostics. 2013; 3(6): 377-394. doi: 10.7150/thno.5195

LATEST ARTICLES

Quality Assurance of General Purpose, Keratin Based and Dye lock Hair Shampoos

Saima Siddique*, Zahida Parveen, Zeeshan Ali and Sidra Mehmood

doi.

Blood Sample from the Patient

Hypertriglyceridemia-Induced Pancreatitis: A Case Report and Literature Review

Maarten Bulterys, Melvin Willems* and Agnes Meersman

doi.

From Neck Pain to a Life-Threatening Condition: A Case Report

Floris Vandewoude* and Sören Verstraete

doi.

LATEST ARTICLES

Original Research

2024 Aug

Saima Siddique*, Zahida Parveen, Zeeshan Ali and Sidra Mehmood

Cross Sectional Study, peer reviewed

2024 Jul

Amanuel P. Beta, Dereje Abera, Legese Belayneh and Isayas A. Kebede

Case Report, peer reviewed

2024 Jul

Syeda Rukh*, Sathyanarayana Machani and Milind Awale