| Literature DB >> 28476377 |
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.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