Literature DB >> 12584585

A ratio of apoptosis to mitosis, proliferation pattern and prediction of radiotherapy response in cervical carcinoma.

A Gasinska1, K Urbanski, A Gruchala, B Biesaga, Z Kojs.   

Abstract

The prognostic significance of apoptotic (AI) and mitotic (MI) indices, and the ratio of these parameters (AI/MI), MIB-1 labeling index (MIB-1LI) and proliferation pattern was studied in 130 (FIGO stage IB-IIIB) squamous cervical cancer patients before radiotherapy. Also the influence of the patients age and tumors pathological features (stage, grade, degree of keratinization) and DNA ploidy on the biological parameters were analysed. AI and MI were assessed on histological sections stained with hematoxylin and eosin, and the MIB-1LI on specimens stained with rabbit anti-human Ki-67 antibody (DAKO Ltd). Sections stained with MIB-1 antibody were used for assessment of the tumor proliferation pattern. The median age of the patients was 55 years (29-80). The median values for MIB-1LI, AI, MI, AI/MI, were: 52.3%, 1.1%, 1.5, and 0.9, respectively. In the univariate analysis median values for cut-off points were used for MIB-1LI, and AI, however, for other parameters significant cut-off points have been chosen. For MI it was 2.6 and for the AI/MI ratio 0.7. The median time of follow-up was 29 months, with a range of 2-145 months. The univariate analysis showed that tumor stage (p=0.7009), grade (p=0.6660) and AI (p=0.9378) had negligible influence on patients survival. However, MI >2.6 (p=0.0442), AI/MI <or=0.7 (p=0.0190), and random or mixed type of proliferation (p=0.0163) were significant prognostic factors. Cox multivariate analysis showed that MI, AI/MI, degree of keratinization and type of proliferation were significant prognostic factors for cervical cancer patients treated with radiotherapy.

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Year:  2002        PMID: 12584585

Source DB:  PubMed          Journal:  Neoplasma        ISSN: 0028-2685            Impact factor:   2.575


  2 in total

1.  Proliferation index: a continuous model to predict prognosis in patients with tumours of the Ewing's sarcoma family.

Authors:  Samantha Brownhill; Dena Cohen; Sue Burchill
Journal:  PLoS One       Date:  2014-08-26       Impact factor: 3.240

2.  Studying the regression profiles of cervical tumours during radiotherapy treatment using a patient-specific multiscale model.

Authors:  Christos A Kyroudis; Dimitra D Dionysiou; Eleni A Kolokotroni; Georgios S Stamatakos
Journal:  Sci Rep       Date:  2019-01-31       Impact factor: 4.379

  2 in total

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