Human tissue kallikreins, uPA and PAI-1 as prognostic markers in ovarian carcinoma [Elektronische Ressource] / Julia Dorn

Julia Dorn

Sujets

• Gesundheit

Informations

• Publié par: technische_universitat_munchen
• Publié le: 01 janvier 2007
• Nombre de lectures: 22

Extrait

Frauenklinik und Poliklinik der Technischen Universität München
Klinikum rechts der Isar
(Direktorin: Univ.-Prof. Dr. M. B. Kiechle)



Human tissue kallikreins, uPA and PAI-1 as prognostic markers in ovarian carcinoma



Julia Dorn





Vollständiger Abdruck der von der Fakultät für Medizin der Technischen Universität München
zur Erlangung des akademischen Grades eines

Doktors der Medizin

genehmigten Dissertation





Vorsitzendes: Univ.-Prof. Dr. D. Neumeier
Prüfer der Dissertation: 1. Univ.-Prof. Dr. M. Schmitt
2. Univ.-Prof. Dr. B. Schmalfeldt
2. Univ.-Prof. Dr. F. Fendt


Die Dissertation wurde am 28.06.2006 bei der Technischen Universität München eingereicht
und durch die Fakultät für Medizin am 13.12.2006 angenommen.








Meiner Familie Julia Dorn: Human tissue kallikreins, uPA and PAI-1 as prognostic markers in ovarian carcinoma; page 1
1. INTRODUCTION .................................................................................................................3
1.1 Ovarian cancer, prognostic and predictive factors..................................................3
1.2 Tumor biological markers in ovarian cancer ............................................................6
1.2.1 CA125 ....................................................................................................................6
1.2.2 Serine proteases ....................................................................................................7
1.2.3 Urokinase-type plasminogen activator system.......................................................8
1.2.4 Tissue kallikrein family .........................................................................................10
2. AIM OF THE STUDY.........................................................................................................21
3. MATERIALS AND METHODS..........................................................................................22
3.1 Patients.......................................................................................................................22
3.2 Tissue collection and extraction..............................................................................22
3.3 ELISA (Enzyme-linked immunosorbent assay)-analysis.......................................22
3.4 Statistical methods....................................................................................................25
4. RESULTS..........................................................................................................................28
4.1 Patient cohort ............................................................................................................28
4.2 Antigen levels of the proteolytic factors in primary tumor extracts of ovarian
cancer patients FIGO I-IV .....................................................................................30
4.3 Stratification of antigen levels of the proteolytic factors in primary tumor
extracts of ovarian cancer patients by nuclear grading ...................................33
4.4 Association of clinical parameters within the patient collective ..........................34
4.5 Assessment of correlation between proteolytic factors uPA, PAI-1, and tissue
kallikreins hK5, hK6, h7, hK8, hK10, hK11, hK13 ..............................................36
4.6 Cox uni- and multivariate proportional hazard regression analysis of clinical,
histomorphological, and proteolytic factors´ influence on overall (OS) and
progression-free survival (PFS) ..........................................................................39
4.7 Antigen levels in primary tumors compared with omentum metastases – impact
on survival.............................................................................................................45
4.8 Validation of previously described optimized cut-offs ..........................................52
5. DISCUSSION ....................................................................................................................53
5.1 Distribution and correlation .....................................................................................54
5.2 Outcome prediction...................................................................................................55
5.3 Predictors of optimal tumor debulking ...................................................................56
5.4 Impact of antigen content in primary tumor and omentum metastasis ...............58 Julia Dorn: Human tissue kallikreins, uPA and PAI-1 as prognostic markers in ovarian carcinoma; page 2
5.5 Optimized cutoffs proteolytic factors......................................................................59
5.6 Conclusions and outlook..........................................................................................59
6. ABSTRACT.......................................................................................................................61
7. APPENDIX ........................................................................................................................63
7.1 TNM and FIGO staging system for ovarian cancer ................................................63
7.2 Classification of nuclear grading of ovarian tumors .............................................63
7.3 Official and alternative kallikrein gene and protein names ...................................64
7.4 Abbreviations.............................................................................................................65
7.5 References .................................................................................................................66
7.6 Publication list...........................................................................................................87
7.7 Acknowledgment.......................................................................................................89
Julia Dorn: Human tissue kallikreins, uPA and PAI-1 as prognostic markers in ovarian carcinoma; page 3
1. Introduction
1.1 Ovarian cancer, prognostic and predictive factors
Every year, almost 7,500 women are newly diagnosed with ovarian cancer in Germany and
as a result up to 6,000 of these patients die of the malignant disease per year. Epithelial
ovarian carcinoma (ovarian cancer) is the third most common neoplasm of the female
reproductive tract, but the leading cause of death from a gynecological malignancy (73; 187).
Early ovarian cancer detection could potentially decrease mortality, still, the tumor commonly
shows no obvious, often only unspecific, signs or symptoms such as general abdominal
discomfort or pain, bowel irregularity, loss of appetite, weight gain or loss or persisting fatigue
until late in its development (175). Moreover, current ovarian cancer screening methods are
limited as sensitivity and specificity of such methods are not high enough. Given the low
prevalence of epithelial ovarian cancer (40 per 100,000 women > 50 years) (205), a clinically
acceptable positive predictive value of 10 % could only be acquainted with a specificity of
>99 % and a sensitivity of > 67 % (73). Therefore, one goal is to tailor the therapeutic
regimen for each of the patients afflicted with ovarian cancer based on the tumor´s unique
molecular signature by finding reliable prognostic and/or predictive factors so that the
patients that are at risk can be directed to clinical trials or more effective ways of treatment.

Established clinical prognostic factors in ovarian carcinoma are:
• Staging of the disease at time of diagnosis
• Retroperitoneal nodal status
• Residual tumor mass after primary surgery
• Histomorphology and cellular differentiation (nuclear grading) of the tumor
• Ascitic fluid volume
• Clinical circumstances such as age, anemia, and performance status

According to the guidelines of the International Federation of Gynecology and Obstetrics,
FIGO (see Appendix), staging of the disease at time of diagnosis represents the major
prognostic factor in ovarian cancer (23). FIGO stage I patients have a 5-year survival of 80-
90 % compared to only 15-20 % for women with advanced disease stage III or IV.
Unfortunately, 65 % of all patients are diagnosed in advanced FIGO stage III or IV (193).
Appropriate intra-operative staging is vitally important for effective post-operative therapy
decision-making. According to recommendations of the German national treatment
guidelines (AGO, Arbeitsgemeinschaft gynäkologischer Onkologen), a staging laparotomy
should be executed by longitudinal abdominal section with bilateral adnectomy,
hysterectomy, infragastric omentectomy, radical paraaortic and pelvic lymphadenectomy,
and appendectomy. Furthermore, multiple cytological washings and random biopsies of the Julia Dorn: Human tissue kallikreins, uPA and PAI-1 as prognostic markers in ovarian carcinoma; page 4
peritoneum, the diaphragm, and of suspect regions is required (158; 164).
Assessment of the nodal status, i.e. lymphogenic metastasis of the iliac, sacral, paraaortal,
and inguinal area is of prognostic value. To assess the nodal status adequately, at least 10
lymph n