Literature DB >> 16482602

Comparison of stage-specific outcome of breast cancer based on 5th and 6th AJCC staging system.

Seung Il Kim1, Byeong Woo Park, Kyong Sik Lee.   

Abstract

BACKGROUND AND OBJECTIVES: To investigate the appropriateness of the new staging system (AJCC 6th edition) for breast carcinoma.
METHODS: We reviewed the clinicopathologic data of 1,768 breast cancer patients, and their disease stages were re-categorized by the new system. The overall survival (OS) and distant relapse free survival (DRFS) rates were compared between those patients whose stages by the old system (AJCC 5th edition) remained the same (the remainders) and those patients whose stages moved up (the upstaged cases) as well as between the subgroups in the new system.
RESULTS: The 10-year DRFS rates of the upstaged cases in each stage were poorer than those of the remainders, and statistical significance was demonstrated for stage IIB and stage IIIA. The 10-year OS rates were also poorer in the upstaged cases, and statistical significance was demonstrated for stage IIIA. Subgroup analysis within the new system between the node-negative versus node-positive subgroups in stages IIA and IIB showed a significant OS difference. The DRFS difference was also shown between the subgroups in stage IIA.
CONCLUSIONS: The new staging system seems to more accurately reflect disease outcome, however, a re-evaluation might be required to reflect the impact of nodal involvement upon the new staging system.

Entities:  

Mesh:

Year:  2006        PMID: 16482602     DOI: 10.1002/jso.20513

Source DB:  PubMed          Journal:  J Surg Oncol        ISSN: 0022-4790            Impact factor:   3.454


  5 in total

1.  Time to Surgery and Breast Cancer Survival in the United States.

Authors:  Richard J Bleicher; Karen Ruth; Elin R Sigurdson; J Robert Beck; Eric Ross; Yu-Ning Wong; Sameer A Patel; Marcia Boraas; Eric I Chang; Neal S Topham; Brian L Egleston
Journal:  JAMA Oncol       Date:  2016-03       Impact factor: 31.777

2.  The Will Rogers phenomenon, breast cancer and race.

Authors:  Mary R Nittala; Eswar K Mundra; S Packianathan; Divyang Mehta; Maria L Smith; William C Woods; Shawn McKinney; Barbara S Craft; Srinivasan Vijayakumar
Journal:  BMC Cancer       Date:  2021-05-17       Impact factor: 4.430

3.  Dysregulation of DNA methylation patterns may identify patients with breast cancer resistant to endocrine therapy: A predictive classifier based on differentially methylated regions.

Authors:  Fan Zhang; Yukun Cui
Journal:  Oncol Lett       Date:  2019-05-27       Impact factor: 2.967

4.  Clinical relevance of lymph node ratio in breast cancer patients with one to three positive lymph nodes.

Authors:  S I Kim; S-H Cho; J S Lee; H-G Moon; W C Noh; H J Youn; B K Ko; B-W Park
Journal:  Br J Cancer       Date:  2013-08-13       Impact factor: 7.640

5.  Transcriptional profile of fibroblasts obtained from the primary site, lymph node and bone marrow of breast cancer patients.

Authors:  Paulo Roberto Del Valle; Cintia Milani; Maria Mitzi Brentani; Maria Lucia Hirata Katayama; Eduardo Carneiro de Lyra; Dirce Maria Carraro; Helena Brentani; Renato Puga; Leandro A Lima; Patricia Bortman Rozenchan; Bárbara Dos Santos Nunes; João Carlos Guedes Sampaio Góes; Maria Aparecida Azevedo Koike Folgueira
Journal:  Genet Mol Biol       Date:  2014-09       Impact factor: 1.771

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.