Literature DB >> 19172293

Histological grading in a large series of advanced stage ovarian carcinomas by three widely used grading systems: consistent lack of prognostic significance. A translational research subprotocol of a prospective randomized phase III study (AGO-OVAR 3 protocol).

Stefan Kommoss1, Dietmar Schmidt, Friedrich Kommoss, Juergen Hedderich, Philipp Harter, Jacobus Pfisterer, Andreas du Bois.   

Abstract

While there is no doubt that histologic grading is applicable in early stage ovarian carcinoma, it is still in controversial discussion concerning advanced stage ovarian carcinoma. It was the aim of this study to assess the three most widely used grading systems for ovarian carcinoma in terms of prognostic significance, concordance rates, and reproducibility in a large number of advanced stage ovarian carcinomas of all types after standardized chemotherapy. Representative hematoxylin and eosin slides from 334 cases of stage IIB-IV ovarian carcinoma (prospective randomized, multi-center, phase III study) were used. The first round was grading of all cases according to FIGO, GOG, and Silverberg by one author. The second round (after 1 year) was 30 randomly selected cases graded by three authors. None of the three grading systems was prognostically significant (FIGO p = 0.38; GOG p = 0.70; Silverberg p = 0.92). The concordance rates between the three systems were as follows: FIGO/GOG 95.5%, kappa = 0.929; Silverberg/FIGO 69.9%, kappa = 0.533; Silverberg/GOG 66.8%, kappa = 0,481. Grading of advanced stage ovarian carcinomas was of no value for estimation of prognosis in this homogeneously treated patient group. Alternative methods should be defined, which might help to separate patients with high risk of tumor progression from others with low risk.

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Year:  2009        PMID: 19172293     DOI: 10.1007/s00428-009-0725-y

Source DB:  PubMed          Journal:  Virchows Arch        ISSN: 0945-6317            Impact factor:   4.064


  26 in total

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Journal:  Histopathology       Date:  2007-12-13       Impact factor: 5.087

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Journal:  Cancer       Date:  1998-03-01       Impact factor: 6.860

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Journal:  Cancer       Date:  1980-02       Impact factor: 6.860

Review 5.  Ovarian tumorigenesis: a proposed model based on morphological and molecular genetic analysis.

Authors:  Ie-Ming Shih; Robert J Kurman
Journal:  Am J Pathol       Date:  2004-05       Impact factor: 4.307

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Journal:  Gynecol Oncol       Date:  1984-01       Impact factor: 5.482

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Journal:  Histopathology       Date:  1991-11       Impact factor: 5.087

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Authors:  Anais Malpica; Michael T Deavers; Carmen Tornos; Robert J Kurman; Robert Soslow; Jeffrey D Seidman; Mark F Munsell; Erich Gaertner; David Frishberg; Elvio G Silva
Journal:  Am J Surg Pathol       Date:  2007-08       Impact factor: 6.394

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Authors:  B Sorbe; B Frankendal; B Veress
Journal:  Obstet Gynecol       Date:  1982-05       Impact factor: 7.661

10.  Comparison of the usefulness between a new universal grading system for epithelial ovarian cancer and the FIGO grading system.

Authors:  Shin ichi Ishioka; Satoru Sagae; Katsuhiko Terasawa; Masaki Sugimura; Yoshihiro Nishioka; Kuniko Tsukada; Ryuichi Kudo
Journal:  Gynecol Oncol       Date:  2003-06       Impact factor: 5.482

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  6 in total

Review 1.  [Histological grading of epithelial ovarian cancer. Review and recommendation].

Authors:  S Hauptmann; A du Bois; I Meinhold-Herlein; J Pfisterer; S Avril
Journal:  Pathologe       Date:  2014-09       Impact factor: 1.011

2.  Construction of Metabolic Molecular Classification and Immune Characteristics for the Prognosis Prediction of Ovarian Cancer.

Authors:  Kexin Wang; Hui He; Xue Feng
Journal:  J Immunol Res       Date:  2022-06-25       Impact factor: 4.493

3.  Gene expression profile for predicting survival in advanced-stage serous ovarian cancer across two independent datasets.

Authors:  Kosuke Yoshihara; Atsushi Tajima; Tetsuro Yahata; Shoji Kodama; Hiroyuki Fujiwara; Mitsuaki Suzuki; Yoshitaka Onishi; Masayuki Hatae; Kazunobu Sueyoshi; Hisaya Fujiwara; Yoshiki Kudo; Kohei Kotera; Hideaki Masuzaki; Hironori Tashiro; Hidetaka Katabuchi; Ituro Inoue; Kenichi Tanaka
Journal:  PLoS One       Date:  2010-03-12       Impact factor: 3.240

4.  ZNF385B and VEGFA are strongly differentially expressed in serous ovarian carcinomas and correlate with survival.

Authors:  Bente Vilming Elgaaen; Ole Kristoffer Olstad; Leiv Sandvik; Elin Odegaard; Torill Sauer; Anne Cathrine Staff; Kaare M Gautvik
Journal:  PLoS One       Date:  2012-09-28       Impact factor: 3.240

5.  DNA methylation subtypes for ovarian cancer prognosis.

Authors:  Lili Yin; Ningning Zhang; Qing Yang
Journal:  FEBS Open Bio       Date:  2021-02-03       Impact factor: 2.693

6.  Bioinformatics analysis of gene expression profile of serous ovarian carcinomas to screen key genes and pathways.

Authors:  Hongjun Fei; Songchang Chen; Chenming Xu
Journal:  J Ovarian Res       Date:  2020-07-21       Impact factor: 4.234

  6 in total

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