Shahrzad Soleiman and Abolfazl Movafagh
Islamic Azad University Shahrekord Branch, Iran
Shahid Beheshti University of Medical Sciences, Iran
Scientific Tracks Abstracts: J Mol Biomark Diagn
Introduction & Aim: Sentinel lymph node micrometastasis detection improves outcome for breast cancer
follow up procedure. The aim of the current study is to identify gene profiles that accurately predicted the
outcome of breast cancer patients. The HOXB13/IL17B ratio in addition to mammaglobin expression status
has been evaluated regarding to tumorâ??s features.
Method: Fifty (50) tumor sample from breast cancer patients were analyzed for the expression of three genes
using quantitative-PCR. Also clinical verification for recurrence to distant organs was performed. Three gene
signatures were confirmed based on tumorâ??s stage, grade, ER status using conditional logistic regression.
Results: Based on these findings, the negative reported lymph nodes for metastasis had micro metastasis
in significant values. There was a significant difference between normal and cancer samples in three gene
expression markers and also there was meaningful relationship between three gene expressions with tumorâ??s
grade, stage according to progression of tumor.
Conclusion: A novel gene expression signature predictive of micro metastatic patients was evaluated. In this
analysis, relationship between these genes with tumor features that finding clear role for these genes with
tumorâ??s outcome needs to be established.
Shahrzad Soleimani has completed her Master of Science degree from Shahrekord Azad University, Iran. She is currently working as the Director of Laboratory Science Departments in Jahad University, Isfahan, Iran. She has published more than 5 papers in reputed journals.
E-mail: shahrzadsolimani@yahoo.com
Molecular Biomarkers & Diagnosis received 2054 citations as per Google Scholar report