Literature DB >> 18544965

Understanding the molecular basis of histologic grade.

M Ignatiadis1, C Sotiriou.   

Abstract

Histologic grading in breast cancer is based on the evaluation of 3 morphologic features (tubule formation, nuclear pleomorphism and mitotic count), is essentially describing proliferation and differentiation in breast cancer, and is considered an important prognostic factor for this disease. It has been suggested that histologic grade 1 and 3 breast tumors are 2 different diseases that may have distinct molecular origins, pathogenesis and natural history. Different single markers like Ki-67, thymidine labeling index and S phase fraction/flow cytometry have been studied as markers of proliferation, but none of them, with the possible exception of Ki-67, is currently employed routinely in clinical practice. The advent of the powerful microarray technology has enabled scientists to comprehensively study proliferation in breast cancer on a genome-wide scale. A gene expression grade index (GGI) was developed that challenges the existence and clinical relevance of an intermediate grade 2 classification. The GGI could reclassify patients with histologic grade 2 tumors into 2 groups with high versus low risks of recurrence. GGI has also been used to define 2 clinically relevant subgroups in estrogen receptor-positive breast carcinomas. Finally, in the largest meta-analysis of publicly available gene expression and clinical data, 4 stable molecular subgroups of breast cancer have been identified, namely ER-/HER-, HER2+ and ER+/HER2-, which was divided into 2 subgroups (ER+/low proliferation and ER+/high proliferation). In this same meta-analysis, proliferation was shown to be the common driving force responsible for the performance of various breast cancer prognostic signatures. Copyright 2008 S. Karger AG, Basel.

Entities:  

Mesh:

Year:  2008        PMID: 18544965     DOI: 10.1159/000123848

Source DB:  PubMed          Journal:  Pathobiology        ISSN: 1015-2008            Impact factor:   4.342


  24 in total

1.  Tracing the tumor lineage.

Authors:  Nicholas E Navin; James Hicks
Journal:  Mol Oncol       Date:  2010-05-05       Impact factor: 6.603

2.  Evaluation of associations between common variation in mitotic regulatory pathways and risk of overall and high grade breast cancer.

Authors:  Kristen N Stevens; Xianshu Wang; Zachary Fredericksen; V Shane Pankratz; James Cerhan; Celine M Vachon; Janet E Olson; Fergus J Couch
Journal:  Breast Cancer Res Treat       Date:  2011-05-24       Impact factor: 4.872

Review 3.  Insight into the heterogeneity of breast cancer through next-generation sequencing.

Authors:  Hege G Russnes; Nicholas Navin; James Hicks; Anne-Lise Borresen-Dale
Journal:  J Clin Invest       Date:  2011-10-03       Impact factor: 14.808

4.  Inferring tumor progression from genomic heterogeneity.

Authors:  Nicholas Navin; Alexander Krasnitz; Linda Rodgers; Kerry Cook; Jennifer Meth; Jude Kendall; Michael Riggs; Yvonne Eberling; Jennifer Troge; Vladimir Grubor; Dan Levy; Pär Lundin; Susanne Månér; Anders Zetterberg; James Hicks; Michael Wigler
Journal:  Genome Res       Date:  2009-11-10       Impact factor: 9.043

Review 5.  [Translational research and diagnostics for breast cancer].

Authors:  H H Kreipe
Journal:  Pathologe       Date:  2012-11       Impact factor: 1.011

6.  Genomic heterogeneity of breast tumor pathogenesis.

Authors:  Rachel E Ellsworth; Jeffrey A Hooke; Craig D Shriver; Darrell L Ellsworth
Journal:  Clin Med Oncol       Date:  2009-07-29

7.  Genomic distance entrained clustering and regression modelling highlights interacting genomic regions contributing to proliferation in breast cancer.

Authors:  Tim J Dexter; David Sims; Costas Mitsopoulos; Alan Mackay; Anita Grigoriadis; Amar S Ahmad; Marketa Zvelebil
Journal:  BMC Syst Biol       Date:  2010-09-08

Review 8.  [Beyond staging, typing and grading. New challenges in breast cancer pathology].

Authors:  H H Kreipe; P Ahrens; M Christgen; U Lehmann; F Länger
Journal:  Pathologe       Date:  2010-02       Impact factor: 1.011

9.  Identifying grade/stage-related active modules in human co-regulatory networks: a case study for breast cancer.

Authors:  Chenchen Feng; Lina Chen; Wan Li; Hong Wang; Liangcai Zhang; Xu Jia; Zhengqiang Miao; Xiaoli Qu; Weiguo Li; Weiming He
Journal:  OMICS       Date:  2012-12

10.  A taxonomy of epithelial human cancer and their metastases.

Authors:  Olivier Gevaert; Anneleen Daemen; Bart De Moor; Louis Libbrecht
Journal:  BMC Med Genomics       Date:  2009-12-17       Impact factor: 3.063

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