Literature DB >> 28476377

Nodal metastasis signatures in breast cancer.

Kyeongmee Park1, Joo Hyun Lee2, Hyun Ho Han2, Seong Gyeong Mun2, Suki Kang3, Youn Jin Cha4, Ja-Seung Koo4, Min Ju Kim5, Hye Sun Lee6, Jieun Moon6, Nam Hoon Cho7.   

Abstract

Although the molecular taxonomy of invasive breast cancer is based on heterogeneous histologic types, pathologic nodal (pN) stage remains one of the most important independent prognostic factors. Although node-positive number (NPN) has been widely as an accepted staging algorithm of pN stage, the node-positive ratio (NPR) in totally resected axillary nodes has been considered as another reasonable indicator. We aimed to identify signatures to play a predictive role in nodal metastasis for analytic validation between the primary breast cancers with positive node metastasis and those with negative node metastasis. We validated expression profiles of surrogate candidates extracted from the prior 2D MALDI-TOF data for invasive breast cancer using fluorescence/silver in situ hybridization (FISH/SISH) and immunohistochemistry (IHC) in 151 primary breast cancers accompanied with 102 metastatic nodal tissues. Cox proportional hazards regression analyses indicated that event factors (recurrence or metastasis) were significantly more frequent in cases with CCDN1, c-myc gene amplification, IgHA2 low expression. CCDN1 gene amplification (OR: 5.702, p=0.0006), IgHA2 low expression (OR: 0.16, p=0.0184) remained significant factors for events on multivariate analyses. WDR+/ERK++ was significantly detected in higher pN stage (averaging 6.5 regional nodes or 43% of NPR), while seldom found in pN0-1. In conclusion, both overexpression of WDR1 and p-ERK in the primary breast cancer could play a role in the nodal signature over pN2-3.
Copyright © 2016 Elsevier GmbH. All rights reserved.

Entities:  

Keywords:  Breast cancer; ERK; Node positive number; Node positive ratio; WDR1; c-MET

Mesh:

Substances:

Year:  2016        PMID: 28476377     DOI: 10.1016/j.prp.2016.11.017

Source DB:  PubMed          Journal:  Pathol Res Pract        ISSN: 0344-0338            Impact factor:   3.250


  4 in total

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Authors:  Shoichiro Ono
Journal:  Biochem Biophys Res Commun       Date:  2017-10-19       Impact factor: 3.575

Review 2.  Lymph Nodes in Breast Cancer - What Can We Learn from Translational Research?

Authors:  Florentia Peintinger; Roland Reitsamer; Marjolein L Smidt; Thorsten Kühn; Cornelia Liedtke
Journal:  Breast Care (Basel)       Date:  2018-09-25       Impact factor: 2.860

3.  A novel DNA methylation-based model that effectively predicts prognosis in hepatocellular carcinoma.

Authors:  Xiang-Yong Hao; Tao Wang; Hui Cai; An-Qiang Li; Hao Shi; Tian-Kang Guo; Yan-Fei Shen; Yuan Deng; Li-Tian Wang
Journal:  Biosci Rep       Date:  2021-03-26       Impact factor: 3.840

4.  Axillary Lymph Node Involvement in Breast Cancer: A Random Walk Model of Tumor Burden.

Authors:  Vincent Vinh-Hung; Nicolas Leduc; Jacqueline Baudin; Guy Storme; Nam P Nguyen; Clarisse Joachim; Elsa Cecilia-Joseph; Claire Verschraegen
Journal:  Cureus       Date:  2019-11-27
  4 in total

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