Development of a decision aid for primary treatment of patients with advanced-stage ovarian cancer.

INTRODUCTION: Despite renewed treatment options for advanced epithelial ovarian cancer, survival remains poor. The Patient Association and the Gynecological Oncology Working Party in the Netherlands have identified a need for a tool to improve shared decision-making. The aim of this study was to develop an evidence-based online decision aid for patients with advanced epithelial ovarian cancer and their medical team. METHODS: First, we identified the patients' and clinicians' needs using surveys and in-depth interviews. Second, we conducted multidisciplinary face-to-face meetings with representatives from all stakeholders (clinicians and patient representatives) to determine the content of the decision aid. Third, we developed the decision aid using standardized criteria and national guidelines. Finally, we tested the usability of the tool with patients and clinicians who participated in the needs assessment. RESULTS: Patients and clinicians indicated the need for more sources of reliable information that include all treatment options available in the Netherlands. Although most interviewees were satisfied with the level of information available at the time of their own treatment, the majority (90%) of the patients stated that no choice of treatment was offered. We developed a consultation sheet and an online decision aid based on patient interviews and team discussions. The sheet contains a summary of all treatment options and login codes for the decision aid; it will be offered to patients at their first consultation. The decision aid can be used at home and includes information about epithelial ovarian cancer and all available treatment options and questions about quality of life and treatment preferences, delivering a personalized summary for discussion during the following consultation about the primary treatment choices. DISCUSSION: In cooperation with patients and clinicians, we developed a decision aid for advanced-stage epithelial ovarian cancer patients and their medical team to support shared decision-making, based on a confirmed need for more extensive information sources. The decision aid is currently under assessment in a multicenter implementation trial.

Prognostic factors for spontaneous regression of high-risk human papillomavirus-positive cervical intra-epithelial neoplasia grade 2.

INTRODUCTION: Since the implementation of human papillomavirus (HPV)-based screening for cervical cancer, the majority of cervical intra-epithelial neoplasia grade 2 (CIN2) lesions are high-risk (hr)HPV positive. Evidence on prognostic factors in hrHPV-positive CIN2 is lacking, hampering the individual counseling of women undergoing observation as routine management. The aim of this study is to identify prognostic factors for the spontaneous regression of hrHPV-positive CIN2. METHODS: A retrospective cohort study was conducted at the Maastricht University Medical Center, the Netherlands. Women with hrHPV-positive CIN2 who underwent observation between January 1, 2000 and April 30, 2013 were included. Regression was defined as Pap 1/2 cytology (normal or atypical squamous cells of undetermined significance (ASCUS) cytology) or ≤CIN1 histology at the 24 month follow-up and no diagnosis of ≥CIN2 before the 24 month follow-up visit. Potential prognostic factors (HPV-16/18, p16 staining, KI67 staining, age, smoking status, last Pap smear result, multiple CIN2 lesions, oral contraception use, and parity) were assessed using logistic regression analysis. RESULTS: A total of 56 women were included in the study, of which 34 (61%) showed spontaneous regression of their lesion. Of all studied potential prognostic factors, only not smoking and nulliparity were significantly associated with disease regression (OR 3.84, 95% CI 1.04 to 14.21, and OR 5.00, 95% CI 1.32 to 19.00, respectively, in the univariate analysis). Both effects remained significant after correction for age and HPV-16/18 in a multivariable regression analysis. In women who smoked, disease regression occurred in 10 of 22 women (46%), compared with 16 of 21 women (76%) who did not smoke. In parous women, regression occurred in 12 of 27 women (44%), compared with 16 of 20 nulliparous women (80%). DISCUSSION: Smoking status and parity may influence the likelihood of disease regression in hrHPV-positive CIN2. These factors could be considered in individual patient counseling regarding the choice between immediate treatment or conservative management.

Development of an Image-Guided Orthotopic Xenograft Mouse Model of Endometrial Cancer with Controllable Estrogen Exposure.

Endometrial cancer (EC) is the most common gynaecological malignancy in Western society and the majority of cases are estrogen dependent. While endocrine drugs proved to be of insufficient therapeutic value in the past, recent clinical research shows promising results by using combinational regimens and pre-clinical studies and identified potential novel endocrine targets. Relevant pre-clinical models can accelerate research in this area. In the present study we describe an orthotopic and estrogen dependent xenograft mouse model of EC. Tumours were induced in one uterine horn of female athymic nude mice using the well-differentiated human endometrial adenocarcinoma Ishikawa cell line-modified to express the luciferase gene for bioluminescence imaging (BLI). BLI and contrast-enhanced computed-tomograph (CE-CT) were used to measure non-invasive tumour growth. Controlled estrogen exposure was achieved by the use of MedRod implants releasing 1.5 µg/d of 17ß-estradiol (E2) in ovariectomized mice. Stable E2 serum concentration was demonstrated by LC-MS/MS. Induced tumours were E2 responsive as increased tumour growth was observed in the presence of E2 but not placebo, assessed by BLI, CE-CT, and tumour weight at sacrifice. Metastatic spread was assessed macroscopically by BLI and histology and was seen in the peritoneal cavity, in the lymphovascular space, and in the thoracic cavity. In conclusion, we developed an orthotopic xenograft mouse model of EC that exhibits the most relevant features of human disease, regarding metastatic spread and estrogen dependency. This model offers an easy to manipulate estrogen dosage (by simply adjusting the MedRod implant length), image-guided monitoring of tumour growth, and objectively measurable endpoints (including tumour weight). This is an excellent in vivo tool to further explore endocrine drug regimens and novel endocrine drug targets for EC.

Blocking 17ß-hydroxysteroid dehydrogenase type 1 in endometrial cancer: a potential novel endocrine therapeutic approach.

The enzyme type 1 17ß-hydroxysteroid dehydrogenase (17ß-HSD-1), responsible for generating active 17ß-estradiol (E2) from low-active estrone (E1), is overexpressed in endometrial cancer (EC), thus implicating an increased intra-tissue generation of E2 in this estrogen-dependent condition. In this study, we explored the possibility of inhibiting 17ß-HSD-1 and impairing the generation of E2 from E1 in EC using in vitro, in vivo, and ex vivo models. We generated EC cell lines derived from the well-differentiated endometrial adenocarcinoma Ishikawa cell line and expressing levels of 17ß-HSD-1 similar to human tissues. In these cells, HPLC analysis showed that 17ß-HSD-1 activity could be blocked by a specific 17ß-HSD-1 inhibitor. In vitro, E1 administration elicited colony formation similar to E2, and this was impaired by 17ß-HSD-1 inhibition. In vivo, tumors grafted on the chicken chorioallantoic membrane (CAM) demonstrated that E1 upregulated the expression of the estrogen responsive cyclin A similar to E2, which was impaired by 17ß-HSD-1 inhibition. Neither in vitro nor in vivo effects of E1 were observed using 17ß-HSD-1-negative cells (negative control). Using a patient cohort of 52 primary ECs, we demonstrated the presence of 17ß-HSD-1 enzyme activity (ex vivo in tumor tissues, as measured by HPLC), which was inhibited by over 90% in more than 45% of ECs using the 17ß-HSD-1 inhibitor. Since drug treatment is generally indicated for metastatic/recurrent and not primary tumor, we next demonstrated the mRNA expression of the potential drug target, 17ß-HSD-1, in metastatic lesions using a second cohort of 37 EC patients. In conclusion, 17ß-HSD-1 inhibition efficiently blocks the generation of E2 from E1 using various EC models. Further preclinical investigations and 17ß-HSD-1 inhibitor development to make candidate compounds suitable for the first human studies are awaited. Copyright © 2017 Pathological Society of Great Britain and Ireland. Published by John Wiley & Sons, Ltd.

High mRNA levels of 17ß-hydroxysteroid dehydrogenase type 1 correlate with poor prognosis in endometrial cancer.

Most endometrial cancers (ECs) are diagnosed at an early stage and have a good prognosis. However, 20-30% develop recurrence and have poor survival. Recurrence-risk prediction at diagnosis is hampered by the scarcity of prognostic markers. Most ECs are estrogen related, and recent studies show that estrogen exposure in EC is controlled intracrinally. We aim at assessing any association between patient prognosis and the pathways controlling the intracrine estrogen generation in EC: (a) the balance between 17ß-hydroxysteroid-dehydrogenase-type 1 (HSD17B1), that generates active estrogens, and HSD17B2, converting active into poorly active compounds; (b) the balance between steroid sulphatase (STS, that activates estrogens) and estrogen-sulphotransferase (SULT1E1, that deactivates estrogens); (c) the levels of aromatase (ARO), that converts androgen into estrogens. mRNA levels of HSD17B1, HSD17B2, STS, SULT1E1 and ARO were determined among 175 ECs using cDNA microarray. Proteins were explored by immunohistochemistry. Patients with high mRNA of HSD17B1 had a poorer prognosis compared with those with low levels. Combining the expression of HSD17B1 and HSD17B2, patients with high tumour expression of HSD17B1 and low levels of HSD17B2 had the poorest prognosis. Contrarily, women that had high tumour levels of HSD17B2 and low of HSD17B1 had the best outcome. No differences were seen between mRNA level of other the genes analysed and prognosis. At the protein level, HSD17B2, STS and SULT1E1 were highly expressed, whereas HSD17B1 was low and ARO was almost absent. In conclusion, HSD17B1 is a promising marker to predict EC prognosis. Immunohistochemical detection of this protein in ECs has low sensitivity and should be improved for future clinical applications.

Paper-Based Survivorship Care Plans May be Less Helpful for Cancer Patients Who Search for Disease-Related Information on the Internet: Results of the Registrationsystem Oncological Gynecology (ROGY) Care Randomized Trial.

BACKGROUND: The Institute of Medicine recommends Survivorship Care Plans (SCPs) for all cancer survivors. However, it is unclear whether certain patient groups may or may not benefit from SCPs. OBJECTIVE: The aim was to assess whether the effects of an automatically generated paper SCP on patients' satisfaction with information provision and care, illness perceptions, and health care utilization were moderated by disease-related Internet use. METHODS: Twelve hospitals were randomized to either SCP care or usual care in the pragmatic cluster randomized Registrationsystem Oncological GYnecology (ROGY) Care trial. Newly diagnosed endometrial cancer patients completed questionnaires after diagnosis (N=221; response: 74.7%, 221/296), 6 months (n=158), and 12 months (n=147), including patients' satisfaction with information provision and care, illness perceptions, health care utilization (how many times patients visited a medical specialist or primary care physician about their cancer in the past 6 months), and disease-related Internet use (whether patients used the Internet to look for information about cancer). RESULTS: In total, 80 of 221 (36.2%) patients used the Internet to obtain disease-related information. Disease-related Internet use moderated the SCP care effect on the amount of information received about the disease (P=.03) and medical tests (P=.01), helpfulness of the information (P=.01), and how well patients understood their illness (P=.04). All stratified analyses were not statistically significant. However, it appeared that patients who did not seek disease-related information on the Internet in the SCP care arm reported receiving more information about their disease (mean 63.9, SD 20.1 vs mean 58.3, SD 23.7) and medical tests (mean 70.6, SD 23.5 vs mean 64.7, SD 24.9), finding the information more helpful (76.7, SD 22.9 vs mean 67.8, SD 27.2; scale 0-100), and understanding their illness better (mean 6.6, SD 3.0 vs mean 6.1, SD 3.2; scale 1-10) than patients in the usual care arm did. In addition, although all stratified analyses were not significant, patients who did seek disease-related information on the Internet in the SCP care arm appeared to receive less information about their disease (mean 65.7, SD 23.4 vs mean 67.1, SD 20.7) and medical tests (mean 72.4, SD 23.5 vs mean 75.3, SD 21.6), did not find the information more helpful (mean 78.6, SD 21.2 vs mean 76.0, SD 22.0), and reported less understanding of their illness (mean 6.3, SD 2.8 vs mean 7.1, SD 2.7) than patients in the usual care arm did. CONCLUSIONS: Paper SCPs appear to improve the amount of information received about the disease and medical tests, the helpfulness of the information, and understanding of the illness for patients who do not search for disease-related information on the Internet. In contrast, paper SCPs do not seem beneficial for patients who do seek disease-related information on the Internet. TRIAL REGISTRATION: ClinicalTrials.gov NCT01185626; https://clinicaltrials.gov/ct2/show/NCT01185626 (Archived by WebCite at http://www.webcitation.org/6fpaMXsDn).