Pathological and Biological Aspects of Colorectal Cancer Treatment.
In case you object to the disclosure of your thesis, you can contact firstname.lastname@example.org
[S.l. : s.n.]
Number of pages
RU Radboud Universiteit Nijmegen, 10 september 2008
Promotor : Krieken, J.H.J.M. van Co-promotores : Nagtegaal, I.D., Rutten, H.J., Brule, A.J. van den
Display more detailsDisplay less details
SubjectUMCN 1.2: Molecular diagnosis, prognosis and monitoring
Pathological and biological aspects of colorectal cancer treatment. This thesis describes several pathological and biological aspects of colorectal cancer treatment. Different patient populations were investigated including patients with mobile rectal cancer enrolled in the Dutch TME trial, patients with locally advanced rectal cancer (LARC) and patients with stage III colon cancer. Which prognostic factors should be included in modern staging of rectal cancer? What are the crucial prognostic factors after radiochemotherapy in patients with LARC? Which markers can be used to predict therapy response in LARC patients? What is the value of thymidylate synthase genotyping and immunohistochemistry in patients with stage III colon cancer? These are a few examples of the questions that will be discussed in the present thesis. The pathological aspects of this thesis focussed on the tumor and treatment-related prognostic factors, focussing on the circumferential margin (CRM) in both patients with mobile cancer and LARC. The biological aspects that were studied in this thesis include the role of the epithelial adhesion molecule (Ep-CAM) in the event of tumor budding. The contribution of E-cadherin, another adhesion molecule, to the development of signet ring cell carcinomas from mucinous rectal carcinoma was also described. In addition, the prognostic value of cyclooxygenase 2 (Cox-2) in patients of the TME trial was investigated. Finally, the prognostic and predictive value of apoptosis, programmed cell death, in patients with LARC was assessed in order to search for biological markers that can predict tumor response to neoadjuvant therapy
Upload full text
Use your RU credentials (u/z-number and password) tolog in with SURFconextto upload a file for processing by the repository team.