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First Received Date † | July 2, 2007 | ||||||||
Last Updated Date | November 25, 2008 | ||||||||
Start Date † | October 2006 | ||||||||
Current Primary Outcome Measures † | |||||||||
Original Primary Outcome Measures † | |||||||||
Change History | Complete list of historical versions of study NCT00495924 on ClinicalTrials.gov Archive Site | ||||||||
Current Secondary Outcome Measures † | |||||||||
Original Secondary Outcome Measures † | |||||||||
Descriptive Information | |||||||||
Brief Title † | Perioperative Cancer Cell Dissemination and Systemic Immune Suppression in Resectable Ductal Pancreatic Adenocarcinoma | ||||||||
Official Title † | Prognostic Relevance of Perioperative Cancer Cell Dissemination and Systemic Immune Suppression in Resectable Ductal Pancreatic Adenocarcinoma | ||||||||
Brief Summary | The purpose of this study is to determine whether early recurrence after curative resection of ductal pancreatic adenocarcinoma can be explained by either dissemination of cancer cells during intraoperative tumour manipulation, post-operative systemic immune suppression, alteration of biological properties of circulating cancer cells or a combination of these. |
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Detailed Description | Prognostic relevance of circulating cancer cells and immunosuppression in resectable pancreatic carcinoma
The development of metastasis is a highly selective process favoring the survival of a minor subpopulation of metastatic cells. To produce metastases, tumor cells from this subpopulation must complete a sequence of interrelated steps. To produce clinically relevant distant metastases, the successful metastatic cell must therefore exhibit a complex phenotype that is regulated by transient or permanent changes at the gene level. Many malignant tumors, including pancreatic cancer, contain heterogeneous subpopulations of cells. This heterogeneity is exhibited in a wide range of genetic, biochemical, immunological, and biological characteristics such as growth rate, antigenic and immunogenic status, cell surface receptors and products, enzymes, karyotypes, cell morphologies, invasiveness, drug resistance, and metastatic potential. It is likely that specific tumor cells or colonies within the larger heterogeneous tumor specimen are the forerunners of distant metastases. The overall efficiency of the whole metastatic process itself is low. Although the absolute number of cancer cells required for metastasis in humans is unknown, a positive relationship between the number of circulating cancer cells and the subsequent development of metastases has been the subject of several experimental studies (Fisher, E.R. and Fisher, B. Experimental study of factors influencing development of hepatic metastases from circulating tumor cells. Acta Cytol. 9: 146-159, 1965. Fidler, I.J. The relationship of embolic homogeneity, number, size and viability to the incidence of experimental metastasis. Europ. J. Cancer 9: 223-227, 1973. Liotta, L.A., Kleinerman, J., Saidel, G. Quantitative relationships of intravascular tumor cells, tumor vessels and pulmonary metastasis. Cancer Res. 34: 977-1004, 1974. Weiss, L., Mayhew, E., Glaves, R.P. and Holmes, J.C. Metastatic inefficiency in mice bearing B16 melanomas. Br. J. Cancer 45: 44-53, 1982. Topal B, Aerts JL, Roskams T, Fieuws S, Van Pelt J, Vandekerckhove P, Penninckx F. Cancer cell dissemination during curative surgery for colorectal liver metastases. Eur J Surg Oncol 2005; 31: 506-511). The poor prognosis and lack of effective treatments for pancreatic cancer arise from several causes. There are currently no effective biomarkers useful for early detection of pancreatic cancer that tends to rapidly invade surrounding structures and undergo early metastatic spreading. Moreover, pancreatic cancer is highly resistant to both chemotherapy and radiation therapy. Currently, the molecular basis for these characteristics is unknown. Gene expression profiles provide important information about the molecular characteristics of the cancers and can be used to distinguish closely related cancer subtypes. Gene profiling can also be used to develop candidate biomarkers and to identify groups of genes involved in specific functional aspects of tumor biology. Gene expression profiles that could distinguish between pancreatic tumors, chronic pancreatitis and normal pancreatic tissue have been studied extensively using different microarrays and microarray platforms. The differentially expressed genes in pancreatic tumor tissues were found to be quite specific and highly reproducible among platforms and studies (Crnogorac-Jurcevic T, Efthimiou E, Nielsen T, Loader J, Terris B, Stamp G, Baron A, Scarpa A and Lemoine NR. Expression profiling of microdissected pancreatic adenocarcinomas. Oncogene 2002; 21: 4587-4594. Han H, Bearss DJ, Browne LW, Calaluce R, Naagle RB, Von Hoff DD. Identification of differentially expressed genes in pancreatic cancer cells using cDNA microarray. Cancer Res 2002; 62: 2890-96. Iacobuzio-Donahue CA, Ashfaq R, Maitra A, Adsay NV, Shen-Ong GL, Berg K, Hollingsworth MA, Cameron JL, Yeo CJ, Kern SE, Goggins M, Hruban RH. Cancer Res 2003; 63: 8614-22. Logsdon CD, Simeone DM, Binkley C, Arumugam T, Greenson JK, Giordano TJ, Misek DE, Hanash S. Molecular profiling of pancreatic adenocarcinoma and chronic pancreatitis identifies multiple genes differentially regulated in pancreatic cancer. Cancer Res 2003; 63: 2649-57). 4. Peri-operative immunological changes Suppression of the immune system is a feature of the post-operative stress response, in which natural killer (NK) and lymphocyte activated killer (LAK) cells form an integral component in immune anti-tumor surveillance. However, a tumor type-specific immune reaction in pancreatic cancer or in patients undergoing surgery is lacking. Anti-tumoral activities of NK and LAK cells are reduced immediately after surgery so the additive effects of surgery may be sufficient to improve the ability of disseminated cancer cells to evade the host immune response long enough for metastases to develop (Da Costa ML, Finnegan N, Flynn M, Bouchier-Hayes DJ. Laparotomy and laparoscopy differentially accelerate experimental flank tumourgrowth. Br J Surg 1998; 85: 1439-42.) (Da Costa ML, Redmond HP, Bouchier-Hayes DJ. The effect of laparotomy and laparoscopy on the establishment of spontaneous tumour metastases. Surgery 1998; 124: 516-26). The suppressive immunological changes that follow surgical stress occur along a temporal pattern. Depression of cellular immunity to tumor-associated antigen and depression of delayed-type hypersensitivity are present for up to 3 weeks after surgery. In patients with pancreatic cancer the prevalence of regulatory T cells (Treg) is increased in the peripheral blood as well as in the tumour microenvironment. These Treg cells (CD4+25+) are phenotypically similar to Treg cells from normal donors by coexpression of CD45R0 and CTLA-4 molecules as well as cytokine profile. Regulatory CD4+25+ lymphocytes infiltrate tumor and regional lymph nodes, and suppress activation of CD8+ lymphocytes and helper CD4+25- lymphocytes (Liyanage, U. K., T. T. Moore, H. G. Joo, Y. Tanaka, V. Herrmann, G. Doherty, J. A. Drebin, S. M. Strasberg, T. J. Eberlein, P. S. Goedegebuure, and D. C. Linehan. 2002. Prevalence of regulatory T cells is increased in peripheral blood and tumor microenvironment of patients with pancreas or breast adenocarcinoma. J Immunol 169:2756). However, the oncological significance of changes in activities and numbers of NK, LAK, Treg and dendritic cells still has to be confirmed. 5. Aims / Endpoints
In the present study peripheral venous blood samples will be obtained before the start of surgery, at the end of surgery, on the first day after and on day 7 after surgery through a central venous catheter. Tumour tissue samples and random liver tru-cut biopsies will be obtained intra-operatively. Real-time quantitative RT-PCR technique (TaqManR), based on 3 different target markers (CEA, CK20 and EpCAM mRNA transcripts) and beta-glucuronidase (GUS) as control gene, will be used to detect and quantify circulating cancer cells in the blood stream. Normalized copy numbers (NCN) will be determined in each sample (analyzed in duplicate). RNA extraction from all samples will be performed using RNeasy mini kit(Qiagen, BD Company). Sample preparation, cDNA synthesis and PCR will be performed in separated rooms in order to prevent cross-contamination.
Oligonucleotide microarray analysis of mRNA extracted from the primary pancreatic tumor and from disseminated cancer cells before, during and the day after surgery. The focus of this study is not to identify specific markers for diagnosis or for drug targets but to find indications of metastasis through the study of gene expression in cancer cells circulating in the bloodstream. Our main objective is to analyze expression profiles of circulating pancreatic cancer cells. Changes will be analyzed in the expression of genes representative of several different pathways frequently altered during the progression of cancer such as tumor suppressors, oncogenes, signal transduction molecules, growth factors and angiogenesis factors. Gene expression profile data will be obtained on apoptosis, cell cycle, cell growth and differentiation, cell migration and motility, signal transduction and other cancer-related genes. Latest developments in microarray technology comprise the manufacturing of the complete genome and in designing new amplification strategies to be able to analyze very small samples less than 1 ng total RNA (Xiang CC, Chen M, Kozhich OA, Phan QN, Inman JM, Chen Y, Brownstein MJ. Probe generation directly from small number of cells for DNA microarray studies. Biotechniques 2003; 34: 386-8, 390, 392-3. Schindler H, Wiese A, Auer J, Burtscher H. cRNA target preparation for microarrays: comparison of gene expression profiles generated with different amplification procedures. Anal Biochem 2005; 344: 92-101. Puskás LG, Zvara Á, Hackler L Jr, Van Hummelen P. RNA amplification results in reproducible microarray data with slight ratio bias. Biotechniques 2002; 32: 1330-1341). In the present study the number of cancer cells circulating in the blood stream is expected to be extremely small. Therefore, linear RNA amplification (T7 RNA-polymerase) is used in order to generate enough material for labeling and hybridization on the arrays. Two rounds of amplification are performed routinely. This has been performed successfully and reproducibly starting from as little as 700 cells isolated via Laser Capture Microdissection (data unpublished).
Although most of the microarray challenges are known and under control, the present study has an important specific challenge that is the isolation and enrichment of the circulating cancer cells. Currently, the proportion of circulating cancer cells to other nucleated blood cells (leucocytes) is unknown in patients suffering from pancreatic cancer. Therefore, the first step will be to determine the number of cancer cells per ml blood in pancreatic cancer patients and to determine the variability among different patients. A second step is to develop an enrichment method to concentrate the cancer cells without selecting specific types of cancer cells or loss of information on the initial proportion of cancer cells in each patient's blood stream. The fastest way to isolate the circulating cancer cells is using flow cytometry after density-gradient pre-enrichment in combination with negative selection strategies to discard leukocytes (CD45+ and CD34+) from the sorted 'circulating' cancer cells. Isolating cells with LCM has been used many times successfully for microarray studies. It has been reported that LCM can easily dissect several thousands of cells from pancreatic tissue with a RNA-yield of around 1ng/1000 cells (Datson NA, Meijer L, Steenbergen PJ. Morsiak MC, van der Laan S, Meijer OC, de Kloet ER. Expression profiling in laser-microdissected hippocampal subregions in rat brain reveals large subregion specific differences in expression. Eur J Neurosci 2004; 20: 2541-54. Player A, Barrett JC, Kawasaki ES. Laser capture microdissection, microarrays and the precise definition of a cancer cell. Expert Rev Mol Diagn 2004; 4: 831-40. Espina V, Geho D, Mehta AI, Petricoin EF 3rd, Liotta LA, Rosenblatt KP. Pathology of the future: molecular profiling for targeted therapy. Cancer Invest 2005; 23: 36-46. Crnogorac-Jurcevic T, Efthimiou E, Nielsen T, Loader J, Terris B, Stamp G, Baron A, Scarpa A and Lemoine NR. Expression profiling of microdissected pancreatic adenocarcinomas. Oncogene 2002; 21: 4587-4594).
Since a tumor type-specific immune reaction in pancreatic cancer or in patients undergoing surgery is lacking, the present study will assess the systemic immunological changes including cytokine levels before and at different time intervals following potentially curative surgery in pancreatic cancer patients. PBMC will be extracted from peripheral venous blood and used for further analysis under FACS (fluorescence-activated cell sorter) to determine the prevalence of:
Univariate analysis as well as corrected, multivariate analysis will be performed in order to identify the optimally combined prognostic group of factors: patient-, tumour-, and treatment-associated factors as well as the amounts of disseminated cancer cells, their genetic expression profile and immunological changes following surgery. The events to study will be cancer recurrence (disease free survival DFS) and death (overall survival OS). 9. Expected patient accrual "Single center study": UZ.Gasthuisberg - KU.Leuven, Belgium Expected annual patient registration: 30 pts / year Duration of patient accrual: 2 years |
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Study Phase | |||||||||
Study Type † | Observational | ||||||||
Study Design † | Prospective | ||||||||
Condition † |
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Intervention † | Procedure: Pancreatic resection (PD) | ||||||||
Study Arms / Comparison Groups | |||||||||
Publications * | |||||||||
* Includes publications given by the data provider as well as publications identified by National Clinical Trials Identifier (NCT ID) in Medline. |
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Recruitment Information | |||||||||
Recruitment Status † | Recruiting | ||||||||
Enrollment † | 100 | ||||||||
Estimated Completion Date | October 2008 | ||||||||
Primary Completion Date | |||||||||
Eligibility Criteria † | Inclusion Criteria:
Exclusion Criteria:
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Gender | Both | ||||||||
Ages | 18 Years and older | ||||||||
Accepts Healthy Volunteers | Yes | ||||||||
Contacts †† |
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Location Countries † | Belgium | ||||||||
Expanded Access Status | |||||||||
Administrative Information | |||||||||
NCT ID † | NCT00495924 | ||||||||
Responsible Party | |||||||||
Secondary IDs †† | G.0635.07 | ||||||||
Study Sponsor † | Katholieke Universiteit Leuven | ||||||||
Collaborators †† |
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Investigators † |
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Information Provided By | Katholieke Universiteit Leuven | ||||||||
Verification Date | March 2008 | ||||||||
† Required WHO trial registration data element. †† WHO trial registration data element that is required only if it exists. |