7 research outputs found

    Ki67 predicts progression in early CIN: Validation of a multivariate progressionrisk model, Cellular Oncology 26

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    Abstract. This study of early CIN biopsies (25 CIN1 and 65 CIN2) with long follow-up was done to validate, in a new group of patients, the value of Ki67 immuno-quantitative features to predict high CIN grade in a follow-up biopsy (often denoted to as "progression"), as described in a previous study. Each biopsy in the present study was classified with the previously described Ki67-model (consisting of the stratification index and the % positive nuclei in the middle third layer of the epithelium) as "low-risk" or "high-risk", and matched with the follow-up outcome (progression-or-not). Furthermore, it was studied whether subjective evaluation of the Ki67 sections by experienced pathologists, who were aware of the prognostic quantitative Ki67 features, could also predict the outcome. Thirdly, the reproducibility of routine use of the quantitative Ki67-model was assessed. Fifteen cases progressed (17%) to CIN3, 2/25 CIN1 (8%) and 13/65 CIN2 (20%), indicating that CIN grade (as CIN1 or CIN2) is prognostic and that the percentage of CIN1 and CIN2 cases with progression in the present study is comparable to many previous studies. However, the quantitative Ki67 model had stronger prognostic value than CIN grade as none of the 40 "Ki67-model low-risk" patients progressed, in contrast to 15 (30%) of the 50 "Ki67-model high-risk" patients (p < 0.001). In multivariate analysis, neither CIN grade nor any of the other quantitative Ki67 features added to the abovementioned prognostic Ki67-model. Subjective analysis of the Ki67 features was also prognostic, although quantitative assessments gave better results. Routine application of the quantitative Ki67-model in CIN1 and CIN2 was well reproducible. In conclusion, the results confirm that quantitative Ki67 features have strong prognostic value for progression in early CIN lesions

    Interaction of epithelial biomarkers, local immune response and condom use in cervical intraepithelial neoplasia 2-3 regression

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    Objective. Cervical intraepithelial neoplasia grades 2-3 (CIN2-3) are usually treated by cone excision, although only 30% progress to cancer and 6-50% regress spontaneously. Biomarkers predicting CIN2-3 regression would be of great clinical value and could reduce unnecessary cone excision and associated complications. The aim of this study was to investigate whether punch-biopsy derived immunohistochemical biomarkers, local immune response, CIN lesion size and condom use are independently correlated to regression of CIN2-3. Methods. A prospective population-based cohort study of 162 women aged 25-40, with first-time onset diagnosis of CIN2-3 in colposcopy-directed biopsies was carried out. The median biopsy-cone interval was 16 weeks. Regression was defined as CIN1 or less in the cone biopsy. Results. The regression rate was 21% (34/162). pRb>30% in the lower epithelial half was the strongest predictor for regression (30% regression, p 2.5 mm and CD4 + - strom

    The molecular genetics and morphometry-based endometrial intraepithelial neoplasia classification system predicts disease progression in endometrial hyperplasia more accurately than the 1994 world health organization classification system

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    BACKGROUND. The objective of this study was to compare the accuracy of disease progression prediction of the molecular genetics and morphometry-based Endometrial Intraepithelial Neoplasia (EIN) and World Health Organization 1994 (WHO94) classification systems in patients with endometrial hyperplasias. METHODS. A multicenter, multivariate analysis was conducted on 477 patients with endometrial hyperplasia who were required to have a 1-year minimum disease-free interval from the time of the index biopsy (1-18 years of follow-up). The results from that analysis were compared with the results from 197 patients who had < 1 year of follow-up. RESULTS. Twenty-four of 477 hyperplasias (5.0%) progressed to malignant disease over an average of 4 years (maximum, 10 years). According to the WHO94 classification, 16 of 123 atypical hyperplasias (13%) and 8 of 354 nonatypical hyperplasias (2.3%) progressed (hazard ratio [HR] = 7). Twenty-two of 118 EINs (19%) and 2 of 359 non-EINs (0.6%) progressed (HR = 45). EIN was prognostic within each WHO94 subcategory. Progression rates were 3% in simple hyperplasias, 22% in complex hyperplasias, 17% in simple atypical hyperplasias, and 38% in complex atypical hyperplasias with EIN, compared with progression rates of 0.0-2.0% in all hyperplasias if EIN was absent. EIN detected precancerous lesions (sensitivity, 92%) better than WHO94 atypical hyperplasias collectively (67%) or complex atypical hyperplasias alone (46%). In a Cox regression analysis, EIN was the strongest prognostic index of future endometrial carcinoma. The same was true for patients with < 1 year of follow-up (HR for EIN, atypical hyperplasia, and complex atypical hyperplasia: 58, 7, and 8, respectively). CONCLUSIONS. The EIN classification system predicted disease progression more accurately than the WHO94 classification and identified many women with benign changes that would have been regarded as high risk according to the WHO94 classification system

    A national, prospective observational study of first recurrence after primary treatment for gynecological cancer in Norway

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    INTRODUCTION: Gynecological cancer patients are routinely followed up for five years after primary treatment. However, the value of such follow up has been debated, as retrospective studies indicate that first recurrence is often symptomatic and occurs within two to three years of primary treatment. We prospectively investigated time to first recurrence, symptoms at recurrence, diagnostic procedures, and recurrence treatment in gynecological cancer patients after primary curative treatment. MATERIAL AND METHODS: Clinicians from 21 hospitals in Norway interviewed 680 patients with first recurrence of gynecological cancer (409 ovarian, 213 uterine, and 58 cervical cancer patients) between 2012 and 2016. A standardized questionnaire was used to collect information on self-reported and clinical variables. RESULTS: Within two years of primary treatment, 72% of ovarian, 64% of uterine, and 66% of cervical cancer patients were diagnosed with first recurrence, and 54, 67, and 72%, respectively, had symptomatic recurrence. Of symptomatic patients, 25-50% failed to make an appointment before their next scheduled follow-up visit. Computer tomography was the most common diagnostic procedure (89% of ovarian, 76% of uterine, and 62% of cervical cancer patients), and recurrence treatment in terms of chemotherapy was most frequently planned (86% of ovarian, 46% of uterine, and 62% of cervical cancer patients). CONCLUSIONS: A majority of patients experienced symptomatic recurrence, but many patients failed to make an appointment earlier than scheduled. Most first recurrences occurred within two years of primary treatment; the mean annual incidence rate for years 3-5 after primary treatment was <7%. New models for follow up of gynecological cancer patients could be considered
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