Literature DB >> 16929117

Problems in histological grading of malignancy and its clinical significance in patients with operable breast cancer.

Kansei Komaki1, Nobuya Sano2, Akira Tangoku3.   

Abstract

Although the histological grading of malignancy in patients with operable breast cancer, typically consisting of three factors: tubular formation, mitotic counts, and nuclear atypia, plays an important role in identifying patients at high risk of recurrence, the most effective combination of factors is still not completely clear. In assessing prognosis, the problems of clinical application of the grade of malignancy are not only related to the assemblage of the factors employed, but also to the heterogeneity within the tumor and interobserver variations. In a review of the correlation between the histological grading system for malignancy in operable breast cancer patients and the recurrence rate, only the grade of nuclear atypia statistically correlated with the rate of recurrence. Furthermore, a grading system consisting of mitotic counts and nuclear atypia was more significantly correlated to the risk of recurrence than was the system based on the three factors described above. Concerning the heterogeneity of histologic features within the primary tumor, a system based on the grade of mitotic counts or nuclear atypia showed a high degree of heterogeneity, but a system based on the grade of tubular formation showed low heterogeneity and bimodal distribution.

Entities:  

Mesh:

Year:  2006        PMID: 16929117     DOI: 10.2325/jbcs.13.249

Source DB:  PubMed          Journal:  Breast Cancer        ISSN: 1340-6868            Impact factor:   4.239


  17 in total

1.  Tracing the tumor lineage.

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

Review 2.  Evolution of the cancer genome.

Authors:  Ondrej Podlaha; Markus Riester; Subhajyoti De; Franziska Michor
Journal:  Trends Genet       Date:  2012-02-16       Impact factor: 11.639

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.  PET Imaging on Dynamic Metabolic Changes after Combination Therapy of Paclitaxel and the Traditional Chinese Medicine in Breast Cancer-Bearing Mice.

Authors:  Yao Chen; Ling Wang; Hao Liu; Fahuan Song; Caiyun Xu; Kai Zhang; Qing Chen; Shuang Wu; Yunqi Zhu; Ying Dong; Min Zhou; Hong Zhang; Mei Tian
Journal:  Mol Imaging Biol       Date:  2018-04       Impact factor: 3.488

Review 5.  Intra-tumour heterogeneity: a looking glass for cancer?

Authors:  Andriy Marusyk; Vanessa Almendro; Kornelia Polyak
Journal:  Nat Rev Cancer       Date:  2012-04-19       Impact factor: 60.716

6.  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

7.  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

8.  Perinucleolar compartment prevalence is a phenotypic pancancer marker of malignancy.

Authors:  John T Norton; Callie B Pollock; Chen Wang; Julian C Schink; J Julie Kim; Sui Huang
Journal:  Cancer       Date:  2008-08-15       Impact factor: 6.860

9.  Pre-therapy Somatostatin Receptor-Based Heterogeneity Predicts Overall Survival in Pancreatic Neuroendocrine Tumor Patients Undergoing Peptide Receptor Radionuclide Therapy.

Authors:  Rudolf A Werner; Harun Ilhan; Sebastian Lehner; László Papp; Norbert Zsótér; Imke Schatka; Dirk O Muegge; Mehrbod S Javadi; Takahiro Higuchi; Andreas K Buck; Peter Bartenstein; Frank Bengel; Markus Essler; Constantin Lapa; Ralph A Bundschuh
Journal:  Mol Imaging Biol       Date:  2019-06       Impact factor: 3.488

10.  Molecular changes in primary breast tumors and the Nottingham Histologic Score.

Authors:  Rachel E Ellsworth; Jeffrey A Hooke; Brad Love; Darrell L Ellsworth; Craig D Shriver
Journal:  Pathol Oncol Res       Date:  2009-02-05       Impact factor: 3.201

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.