Evidence map›Paper›PMID 15038405›Full record

ArticleWiener klinische Wochenschrift2004

Bcl-2 expression and other clinicopathologic parameters in uterine leiomyosarcoma.

Klaus Bodner, Barbara Bodner-Adler, Oliver Kimberger, Klaus Czerwenka, Klaus Mayerhofer

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Article in Wiener klinische Wochenschrift, 2004. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.3field-weighted citation impact, top 35% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 5 citations in OpenAlex.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors at 1 institution in 1 country.

Klaus BodnerDepartments of Gynecology & Obstetrics, University of Vienna Medical School, Vienna, Austria. klausbodner@yahoo.com
Barbara Bodner-Adler
Oliver Kimberger
Klaus Czerwenka
Klaus Mayerhofer
Medical University of Vienna · AT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe bcl-2 protein, which is involved in cell-cycle regulation and apoptosis, seems to play an important role in the growth of tumors. Until recently, only one study described the frequent expression of bcl-2 in uterine leiomyosarcomas (LMS) and indicated its important prognostic role. Thus, the aims of the present study were to examine bcl-2 expression in patients with uterine LMS and to determine if the expression of this protein would influence the prognosis. In addition, a possible association between bcl-2 expression and various clinicopathologic parameters was evaluated. PATIENTS AND

methodsBcl-2 expression was investigated using immunohistochemical techniques on paraffin-embedded tissue from 21 patients with uterine LMS. The immunohistochemical findings were correlated with different clinicopathologic parameters (FIGO stage, age, vascular-space involvement and recurrence of disease) of the patients.

resultsBcl-2 was expressed in 57% (12/21) of uterine LMS: 3/12 (25%) stained weakly positive, 3/12 (25%) stained moderately positive and 6/12 (50%) stained strongly positive. Nine (43%) cases were negative. Evaluation of the correlation between bcl-2 expression and several clinicopathologic parameters identified a significant negative correlation between vascular-space involvement and bcl-2 expression (p=0.04). The relationship between bcl-2 expression and FIGO stage, age and recurrence of disease did not reach statistical significance. A univariate Cox model revealed significantly longer overall survival in women with bcl-2-positive LMS compared with women with bcl-2-negative LMS (p=0.03).

conclusionsSignificant negative correlation was found between bcl-2 expression and vascular-space involvement and improved survival rates in patients with bcl-2-positive tumors. Though limited by the small number of patients, these data indicate the role of bcl-2 expression in uterine LMS.

Indexed as

AdultAgedBiomarkers, TumorCombined Modality TherapyFemaleFollow-Up StudiesHumansImmunoenzyme TechniquesLeiomyosarcomaMiddle AgedNeoplasm InvasivenessNeoplasm Recurrence, LocalNeoplasm StagingPrognosisProto-Oncogene Proteins c-bcl-2Retrospective StudiesBiomarkers, TumorProto-Oncogene Proteins c-bcl-2

Identifiers

PMID15038405
OpenAlexW76924175

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.