scholarly journals Gene expression comparison between primary estrogen receptor‐positive and triple‐negative breast cancer with paired axillary lymph node metastasis

2021 ◽  
Author(s):  
Marissa K. Srour ◽  
Ying Qu ◽  
Nan Deng ◽  
Kjirsten Carlson ◽  
James Mirocha ◽  
...  
2021 ◽  
pp. 305-312
Author(s):  
Dharmendra Singh ◽  
Soumen Mukherjee

Background: Axillary lymph node metastasis (ALNM) is one of the important prognostic factors of breast cancer. The objective of this study was to assess the risk of ALNM in different molecular subtypes determined by estrogen receptor (ER), progesterone receptor (PR), and human epidermal growth factor receptor 2 (her2neu) of breast cancer. Methods: This retrospective study was conducted on patients who had undergone upfront breast conserving surgery (BCS) or modified radical mastectomy (MRM). Patients were classified as HR (hormone receptor) +/ her2neu- (ER or PR positive and her2neu negative), HR+/her2neu+ (ER or PR positive and her2neu positive), HR-/her2neu- (ER, PR and her2neu negative or triple negative or basal type), and HR-/her2neu+ (ER or PR negative and her2neu positive). The association between clinicopathological variables and ALNM was evaluated in logistic regression analyses. Results: In this study, 476 patients met the inclusion criteria, and had 67.2% ALNM at diagnosis. ALNM was statistically significantly correlated with age ≤ 40 years (p=0.026), tumor grade (p=0.007), pathological tumor size (P<0.001), estrogen receptor (P=0.045), molecular subtypes (P=0.021), LVI (P<0.001), and PNI (P<0.001). Post Hoc test revealed that HR-/her2neu+ subtypes of breast cancer had the highest and HR+/her2neu- had the lowest risk of ALNM.   Conclusion: ALNM may be predicted by molecular subtypes of breast cancer. The risk of ALNM is less in TNBC although it is clinically more aggressive. These findings may play an important role in gauging the individualized axillary management in breast cancer.


2019 ◽  
Vol 37 (15_suppl) ◽  
pp. 565-565 ◽  
Author(s):  
Marissa K. Srour ◽  
Bowen Gao ◽  
Farnaz Dadmanesh ◽  
Ying Qu ◽  
Xiaojiang Cui ◽  
...  

565 Background: Sentinel lymph node (SLN) biopsy guides breast cancer treatment and prognostication. To date, there have been few studies examining the genetics of SLN metastasis in triple negative breast cancer (TNBC). The aim of this study is to characterize and compare gene expression patterns of primary breast cancers and autologous matched SLN metastases. Methods: Patients with stage 2-3 ER/PR negative, HER2 negative TNBC with macrometastasis to the SLN who did not have neoadjuvant therapy were selected. The tumor-specific area was isolated from breast and SLN paraffin embedded tissue sections. Gene expression of a panel of 2567 cancer-associated genes was analyzed with the HTG EdgeSeq system coupled with the Illumina Next Generation Sequencing (NGS) platform. Results were validated with RNA-scope assays for RNA in situ detection. Results: 18 pairs of TNBC and matched SLN metastasis were analyzed for 2567 genes. Compared with the primary TNBC, SLN metastasis had 34 statistically significant upregulated genes and 31 downregulated genes. SLN metastasis had at least a 5-fold change (FC) in upregulation in 3 genes and downregulation in 3 genes, compared to primary TNBC [Table]. Notably, there was an upregulation of anti-apoptosis and survival signaling genes (i.e. BIRC3) in the SLN metastasis. There was also an upregulation of chemotaxis genes (CCL13, CXCL19, CXCL21, CXCR5, TNFSF11, p<0.001). The most striking feature is the downregulation of genes known to regulate cell microenvironment interaction (MMP2, MMP14, COL1A1, COL1A2, COL5A2, COL6A6, COL11A1, COL17A1). Conclusions: In TNBC, SLN metastasis has a distinct gene expression profile. Genes associated with anti-apoptosis, survival responses, and chemotaxis are upregulated, and genes associated with regulation of extracellular matrix are downregulated. Upregulated and downregulated genes with at least a 5-fold change in gene expression in lymph node metastasis compared with TNBC.[Table: see text]


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