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Immunomagnetic CD45 depletion does not improve cytokeratin 20 RT-PCR in colorectal cancer

  • Christoph Ausch , Nadia Dandachi , Veronika Buxhofer-Ausch , Marija Balic , Klaus Huber , Thomas Bauernhofer , Emil Ogris , Wolfgang Hinterberger , Stephan Braun and Rudolf Schiessel
Published/Copyright: March 22, 2007
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Clinical Chemistry and Laboratory Medicine (CCLM)
From the journal Volume 45 Issue 3

Abstract

Background: Cytokeratin 20 reverse transcriptase polymerase chain reaction (CK20 RT-PCR) of blood and bone marrow specimens has been suggested for assessment of hematogenously disseminated tumor cell (DTC) spread in colorectal cancer (CRC) patients. Considerable discrepancies among the studies reported indicate a need for better evaluation procedures. We investigated whether mononucleated cell (MNC) enrichment by Ficoll density gradient centrifugation followed by immunomagnetic depletion of CD45-positive cells (extended enrichment) allows better detection of DTC-associated CK20 mRNA compared to MNC enrichment by Ficoll density gradient centrifugation alone (Ficoll enrichment).

Methods: We analyzed 53 samples [38 peripheral blood (PB), 15 bone marrow (BM)] from 38 CRC patients. Extended enrichment was performed for 30 specimens (PB and BM, n=15 each), and Ficoll enrichment for 23 blood specimens. Total RNA was extracted, reverse-transcribed and analyzed by real-time RT-PCR using a LightCycler instrument.

Results: Despite extended enrichment, 10 PB and 8 BM samples could not be analyzed because of low cellular yield. The depletion efficiency of CD45 separation was 2 log. RT-PCR of the housekeeping gene PBGD resulted in high and varied crossing point values (mean 37.1+3.0) for five PB and seven BM specimens. Ficoll enrichment yielded 23 analyzable blood specimens for which the mean crossing point value was 26.7+0.5 in PBGD RT-PCR. CK20 RT-PCR of 23 blood samples (all from Dukes D patients) revealed CK20 transcripts in four cases (17%).

Conclusions: Extended enrichment was not superior to Ficoll enrichment; in fact, the sensitivity was lower. Improvement of the reported CK20 RT-PCR assay of Ficoll-enriched MNC populations is warranted.

Clin Chem Lab Med 2007;45:351–6.

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Corresponding author: Christoph Ausch, MD, Ludwig Boltzmann Institute of Surgical Oncology, Department of Surgery, Donauspital, SMZ-Ost, Langobardenstraße 122, 1220 Vienna, Austria Phone: +43-1-288023302, Fax: + 43-1-288023380

References

1. Braun S, Pantel K, Muller P, Janni W, Hepp F, Kentenich CR, et al. Cytokeratin-positive cells in the bone marrow and survival of patients with stage I, II, or III breast cancer. N Engl J Med2000;342:525–33.10.1056/NEJM200002243420801Search in Google Scholar PubMed

2. Braun S, Vogl FD, Naume B, Janni W, Osborne MP, Coombes RC, et al. A pooled analysis of bone marrow micrometastasis in breast cancer. N Engl J Med2005;353:793–802.10.1056/NEJMoa050434Search in Google Scholar PubMed

3. Feezor RJ, Copeland EM III, Hochwald SN. Significance of micrometastases in colorectal cancer. Ann Surg Oncol2002;9:944–53.10.1007/BF02574511Search in Google Scholar PubMed

4. Lugo TG, Braun S, Cote RJ, Pantel K, Rusch V. Detection and measurement of occult disease for the prognosis of solid tumors. J Clin Oncol2003;21:2609–15.10.1200/JCO.2003.01.153Search in Google Scholar PubMed

5. Fiegl H, Millinger S, Mueller-Holzner E, Marth C, Ensinger C, Berger A, et al. Circulating tumor-specific DNA: a marker for monitoring efficacy of adjuvant therapy in cancer patients. Cancer Res2005;65:1141–5.10.1158/0008-5472.CAN-04-2438Search in Google Scholar PubMed

6. Muller HM, Fiegl H, Widschwendter A, Widschwendter M. Prognostic DNA methylation marker in serum of cancer patients. Ann NY Acad Sci2004;1022:44–9.10.1196/annals.1318.008Search in Google Scholar PubMed

7. Widschwendter A, Gattringer C, Ivarsson L, Fiegl H, Schneitter A, Ramoni A, et al. Analysis of aberrant DNA methylation and human papillomavirus DNA in cervicovaginal specimens to detect invasive cervical cancer and its precursors. Clin Cancer Res2004;10:3396–400.10.1158/1078-0432.CCR-03-0143Search in Google Scholar PubMed

8. Cristofanilli M, Budd GT, Ellis MJ, Stopeck A, Matera J, Miller MC, et al. Circulating tumor cells, disease progression, and survival in metastatic breast cancer. N Engl J Med2004;351:781–91.10.1056/NEJMoa040766Search in Google Scholar PubMed

9. Cristofanilli M, Hayes DF, Budd GT, Ellis MJ, Stopeck A, Reuben JM, et al. Circulating tumor cells: a novel prognostic factor for newly diagnosed metastatic breast cancer. J Clin Oncol2005;23:1420–30.10.1200/JCO.2005.08.140Search in Google Scholar PubMed

10. Vlems FA, Diepstra JH, Cornelissen IM, Ruers TJ, Ligtenberg MJ, Punt CJ, et al. Limitations of cytokeratin 20 RT-PCR to detect disseminated tumour cells in blood and bone marrow of patients with colorectal cancer: expression in controls and downregulation in tumour tissue. Mol Pathol2002;55:156–63.10.1136/mp.55.3.156Search in Google Scholar PubMed PubMed Central

11. Bustin SA, Gyselman VG, Williams NS, Dorudi S. Detection of cytokeratins 19/20 and guanylyl cyclase C in peripheral blood of colorectal cancer patients. Br J Cancer1999;79:1813–20.10.1038/sj.bjc.6690289Search in Google Scholar

12. Champelovier P, Mongelard F, Seigneurin D. CK20 gene expression: technical limits for the detection of circulating tumor cells. Anticancer Res1999;19:2073–8.Search in Google Scholar

13. Funaki NO, Tanaka J, Ohshio G, Onodera H, Maetani S, Imamura M. Cytokeratin 20 mRNA in peripheral venous blood of colorectal carcinoma patients. Br J Cancer1998;77:1327–32.10.1038/bjc.1998.221Search in Google Scholar

14. Jung R, Petersen K, Kruger W, Wolf M, Wagener C, Zander A, et al. Detection of micrometastasis by cytokeratin 20 RT-PCR is limited due to stable background transcription in granulocytes. Br J Cancer1999;81:870–3.10.1038/sj.bjc.6690778Search in Google Scholar

15. Soeth E, Roder C, Juhl H, Kruger U, Kremer B, Kalthoff H. The detection of disseminated tumor cells in bone marrow from colorectal-cancer patients by a cytokeratin-20-specific nested reverse-transcriptase-polymerase-chain reaction is related to the stage of disease. Int J Cancer1996;69:278–82.10.1002/(SICI)1097-0215(19960822)69:4<278::AID-IJC7>3.0.CO;2-USearch in Google Scholar

16. Guo J, Xiao B, Jin Z, Qin L, Chen J, Chen H, et al. Detection of cytokeratin 20 mRNA in peripheral blood of patients with colorectal cancer by immunomagnetic bead enrichment and real-time reverse transcriptase-polymerase chain reaction. J Gastroenterol Hepatol2005;20:1279–84.10.1111/j.1440-1746.2005.03894.xSearch in Google Scholar

17. Sabile A, Louha M, Bonte E, Poussin K, Vona G, Mejean A, et al. Efficiency of Ber-EP4 antibody for isolating circulating epithelial tumor cells before RT-PCR detection. Am J Clin Pathol1999;112:171–8.10.1093/ajcp/112.2.171Search in Google Scholar

18. Weitz J, Kienle P, Lacroix J, Willeke F, Benner A, Lehnert T, et al. Dissemination of tumor cells in patients undergoing surgery for colorectal cancer. Clin Cancer Res1998;4:343–8.Search in Google Scholar

19. Guo J, Xiao B, Zhang X, Jin Z, Chen J, Qin L, et al. Combined use of positive and negative immunomagnetic isolation followed by real-time RT-PCR for detection of the circulating tumor cells in patients with colorectal cancers. J Mol Med2004;82:768–74.10.1007/s00109-004-0590-8Search in Google Scholar

20. International Union Against Cancer. TNM classification of malignant tumors, 5th ed. New York: Springer, 1997.Search in Google Scholar

21. Dandachi N, Balic M, Stanzer S, Halm M, Resel M, Hinterleitner TA, et al. Critical evaluation of real-time reverse transcriptase-polymerase chain reaction for the quantitative detection of cytokeratin 20 mRNA in colorectal cancer patients. J Mol Diagn2005;7:631–7.10.1016/S1525-1578(10)60597-1Search in Google Scholar

22. Witzig TE, Bossy B, Kimlinger T, Roche PC, Ingle JN, Grant C, et al. Detection of circulating cytokeratin-positive cells in the blood of breast cancer patients using immunomagnetic enrichment and digital microscopy. Clin Cancer Res2002;8:1085–91.Search in Google Scholar

23. Gottschalk J, Jautzke G, Zimmer C, Cervos-Navarro J. HEA 125 and Ber EP4: two monoclonal anti-epithelial, non-cytokeratin antibodies distinguishing metastatic carcinomas from glial tumors. Clin Neuropathol1993;12:68–72.10.1002/1097-0142(19930815)72:4<1343::AID-CNCR2820720432>3.0.CO;2-GSearch in Google Scholar

24. Moldenhauer G, Momburg F, Moller P, Schwartz R, Hammerling GJ. Epithelium-specific surface glycoprotein of Mr 34,000 is a widely distributed human carcinoma marker. Br J Cancer1987;56:714–21.10.1038/bjc.1987.276Search in Google Scholar

25. Went PT, Lugli A, Meier S, Bundi M, Mirlacher M, Sauter G, et al. Frequent EpCam protein expression in human carcinomas. Hum Pathol2004;35:122–8.10.1016/j.humpath.2003.08.026Search in Google Scholar

26. Pantel K, Otte M. Occult micrometastasis: enrichment, identification and characterization of single disseminated tumour cells. Semin Cancer Biol2001;11:327–37.10.1006/scbi.2001.0388Search in Google Scholar

27. Koch M, Kienle P, Hinz U, Antolovic D, Schmidt J, Herfarth C, et al. Detection of hematogenous tumor cell dissemination predicts tumor relapse in patients undergoing surgical resection of colorectal liver metastases. Ann Surg2005;241:199–205.10.1097/01.sla.0000151795.15068.27Search in Google Scholar

28. Schuster R, Max N, Mann B, Heufelder K, Thilo F, Grone J, et al. Quantitative real-time RT-PCR for detection of disseminated tumor cells in peripheral blood of patients with colorectal cancer using different mRNA markers. Int J Cancer2004;108:219–27.10.1002/ijc.11547Search in Google Scholar

29. Thorban S, Rosenberg R, Maak M, Friederichs J, Gertler R, Siewert JR. Impact of disseminated tumor cells in gastrointestinal cancer. Expert Rev Mol Diagn2006;6:333–43.10.1586/14737159.6.3.333Search in Google Scholar

30. Burchill SA, Lewis IJ, Selby P. Improved methods using the reverse transcriptase polymerase chain reaction to detect tumour cells. Br J Cancer1999;79:971–7.10.1038/sj.bjc.6690155Search in Google Scholar

31. Ladanyi A, Soong R, Tabiti K, Molnar B, Tulassay Z. Quantitative reverse transcription-PCR comparison of tumor cell enrichment methods. Clin Chem2001;47:1860–3.10.1093/clinchem/47.10.1860Search in Google Scholar

32. Vlems F, Soong R, Diepstra H, Punt C, Wobbes T, Tabiti K, et al. Effect of blood sample handling and reverse transcriptase-polymerase chain reaction assay sensitivity on detection of CK20 expression in healthy donor blood. Diagn Mol Pathol2002;11:90–7.10.1097/00019606-200206000-00005Search in Google Scholar

33. Vlems FA, Ladanyi A, Gertler R, Rosenberg R, Diepstra JH, Roder C, et al. Reliability of quantitative reverse-transcriptase-PCR-based detection of tumour cells in the blood between different laboratories using a standardised protocol. Eur J Cancer2003;39:388–96.10.1016/S0959-8049(02)00631-7Search in Google Scholar

34. Lindemann F, Schlimok G, Dirschedl P, Witte J, Riethmuller G. Prognostic significance of micrometastatic tumor cells in the bone marrow of colorectal cancer patients. Lancet1992;340:685–8.10.1016/0140-6736(92)92230-DSearch in Google Scholar

35. O'Connor OJ, Cahill RA, Kirwan WO, Redmond HP. The impact of bone marrow micrometastases on metastatic disease free survival in patients with colorectal carcinoma. Colorectal Dis2005;7:406–9.10.1111/j.1463-1318.2005.00792.xSearch in Google Scholar

36. Woelfle U, Breit E, Zafrakas K, Otte M, Schubert F, Muller V, et al. Bi-specific immunomagnetic enrichment of micrometastatic tumour cell clusters from bone marrow of cancer patients. J Immunol Methods2005;300:136–45.10.1016/j.jim.2005.03.006Search in Google Scholar

37. Naume B, Borgen E, Nesland JM, Beiske K, Gilen E, Renolen A, et al. Increased sensitivity for detection of micrometastases in bone-marrow/peripheral-blood stem-cell products from breast-cancer patients by negative immunomagnetic separation. Int J Cancer1998;78:556–60.10.1002/(SICI)1097-0215(19981123)78:5<556::AID-IJC5>3.0.CO;2-GSearch in Google Scholar

38. Brabletz T, Jung A, Spaderna S, Hlubek F, Kirchner T. Opinion: migrating cancer stem cells-an integrated concept of malignant tumour progression. Nat Rev Cancer2005;5:744–9.10.1038/nrc1694Search in Google Scholar

39. Hernandez BY, Frierson HF, Moskaluk CA, Li YJ, Clegg L, Cote TR, et al. CK20 and CK7 protein expression in colorectal cancer: demonstration of the utility of a population-based tissue microarray. Hum Pathol2005;36:275–81.10.1016/j.humpath.2005.01.013Search in Google Scholar

Published Online: 2007-03-22
Published in Print: 2007-03-01

©2007 by Walter de Gruyter Berlin New York

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