Abstract S5-5: Identification of a Clinically Relevant Gene Signature in Triple Negative and Basal-Like Breast Cancer

Author(s):  
A Rody ◽  
T Karn ◽  
C Liedtke ◽  
L Pusztai ◽  
E Ruckhäberle ◽  
...  
2011 ◽  
Vol 13 (5) ◽  
Author(s):  
Achim Rody ◽  
Thomas Karn ◽  
Cornelia Liedtke ◽  
Lajos Pusztai ◽  
Eugen Ruckhaeberle ◽  
...  

2010 ◽  
Vol 28 (15_suppl) ◽  
pp. 521-521
Author(s):  
A. Rody ◽  
T. Karn ◽  
C. Liedtke ◽  
E. Ruckhäberle ◽  
L. Hanker ◽  
...  

2009 ◽  
Vol 27 (15_suppl) ◽  
pp. 11016-11016 ◽  
Author(s):  
P. S. Ray ◽  
J. Wang ◽  
Y. Qu ◽  
M. Shin-Sim ◽  
J. Shamonki ◽  
...  

11016 Background: Class identification studies have proposed 3 prognostically relevant molecular subtypes of breast cancer: luminal, HER2 and basal-like. The latter is associated with poor prognosis but its molecular basis is not clear. We hypothesized a direct correlation between FOXC1 expression and basal-like breast cancer. Methods: Expression of FOXC1, CK5, CK14, EGFR, c-Kit, αB-crystallin, ITGB4 and FOXC2 in basal-like breast cancer was examined using publicly available microarray datasets. A molecular signature of 40 genes sharing co-ordinate up or down regulation with FOXC1 was identified on one microarray (49 patients) and validated on 5 other microarrays (1,232 patients). The clinical significance of FOXC1 gene expression and the FOXC1 gene signature was evaluated using censored survival data. FOXC1 protein expression was assessed by immunohistochemistry (IHC) of a 96-sample breast cancer tissue microarray. Normal breast epithelial, luminal and basal breast cancer cells transfected with FOXC1 vectors were evaluated for cell proliferation, migration and invasion. Results: FOXC1 was found to be consistently and exclusively upregulated in basal-like triple negative breast cancer and was associated with poor overall survival (p<0.0001). The FOXC1 gene signature accurately predicted the basal-like phenotype. IHC analysis of FOXC1 protein expression in human breast cancers confirmed its potential to be used as a clinical biomarker of basal-like breast cancer. Normal breast epithelial cells and luminal breast cancer cells with low or no FOXC1 expression underwent epithelial-to-mesenchymal transition and displayed increased cellular proliferation, migration, invasion, and expression of basal cell markers when FOXC1 was overexpressed. In contrast, knockdown of FOXC1 by shRNA in basal-like breast cancer cells conferred luminal phenotype. Breast cancer progression-linked signaling pathways like NF-κB and p38MAPK were significantly stimulated in basal-like breast cancer as well as by in vitro FOXC1 overexpression. Conclusions: FOXC1 is a dominant determinant of the basal-like phenotype of breast cancer. We propose FOXC1 to be the single best molecular marker of and a potential therapeutic target for basal-like / triple negative breast cancer. No significant financial relationships to disclose.


Cancers ◽  
2021 ◽  
Vol 13 (21) ◽  
pp. 5590
Author(s):  
Alyssa Vito ◽  
Nader El-Sayes ◽  
Omar Salem ◽  
Yonghong Wan ◽  
Karen L. Mossman

The era of immunotherapy has seen an insurgence of novel therapies driving oncologic research and the clinical management of the disease. We have previously reported that a combination of chemotherapy (FEC) and oncolytic virotherapy (oHSV-1) can be used to sensitize otherwise non-responsive tumors to immune checkpoint blockade and that tumor-infiltrating B cells are required for the efficacy of our therapeutic regimen in a murine model of triple-negative breast cancer. In the studies herein, we have performed gene expression profiling using microarray analyses and have investigated the differential gene expression between tumors treated with FEC + oHSV-1 versus untreated tumors. In this work, we uncovered a therapeutically driven switch of the myeloid phenotype and a gene signature driving increased tumor cell killing.


2020 ◽  
Vol 184 (2) ◽  
pp. 325-334
Author(s):  
Ji-Yeon Kim ◽  
Hae Hyun Jung ◽  
Insuk Sohn ◽  
Sook Young Woo ◽  
Hyun Cho ◽  
...  

2019 ◽  
Vol 1 (Supplement_1) ◽  
pp. i11-i12
Author(s):  
Benjamin Vincent ◽  
Maria Sambade ◽  
Shengjie Chai ◽  
Marni Siegel ◽  
Luz Cuaboy ◽  
...  

Abstract INTRODUCTION: Approximately 50% of patients with metastatic triple negative breast cancer (TNBC) will develop brain metastases (BM). Routinely treated with radiotherapy and/or surgery, survival is generally less than one year. There are no approved systemic therapies to treat TNBC BM. We characterized the genomic and immune landscape of TNBC BM to foster the development of effective brain permeable anti-cancer agents, including immunotherapy. EXPERIMENTAL PROCEDURES: A clinically-annotated BCBM biobank of archival tissues was created under IRB approval. DNA (tumor/normal) and RNA (tumor) were extracted from TNBC primaries and BM; whole exome (WES) and RNA sequencing (RNASeq) was performed. Mutations were determined from WES as those co-identified by two variant callers (Strelka|Cadabra). Immune gene signature expression, molecular subtype identification, and T cell receptor repertoires were inferred from RNAseq. RESULTS: 32 TNBC patient tissues (14 primaries, 18 BCBM, 6 primary-BCBM matched), characterized as basal-like by PAM50, were analyzed. Top exome mutation calls included ten genes in ≥19% of BCBMs including TP53, ATM, and PIK3R1, and four genes in ≥18% of primaries including TP53 and PIK3R1. Many immune gene signatures were lower in BM compared to primaries including B cell, dendritic cell, regulatory T cell, and IgG cluster (p&lt; 0.05). A signature of PD-1 inhibition responsiveness was higher in BM compared with primaries (p&lt; 0.05). BCBM T cell receptor repertoires showed higher evenness and lower read count (both p &lt; 0.01) compared to primaries. CONCLUSIONS: TNBC BM compared to primaries that metastasize to the brain show lower immune gene signature expression, higher PD-1 inhibition response signature expression, and T cell receptor repertoire features less characteristic of an active antigen-specific response. Mutations common to TNBC BM and primaries include TP53 and PIK3R1. Given that non-BCBM (i.e. lung and melanoma) show response to checkpoint inhibitors, these findings collectively support further study of immunotherapy for TNBC BM.


2011 ◽  
Vol 17 (4) ◽  
pp. 438-440 ◽  
Author(s):  
Mateya E. Trinkaus ◽  
Shahin Sayed ◽  
Samuel Mukono Gakinya ◽  
Zahir Moloo ◽  
Wedad Hanna ◽  
...  

2020 ◽  
Vol Volume 13 ◽  
pp. 6497-6509
Author(s):  
Li Yuan Wei ◽  
Xiao Jun Zhang ◽  
Li Wang ◽  
Li Na Hu ◽  
Xu Dong Zhang ◽  
...  

2008 ◽  
Vol 26 (15_suppl) ◽  
pp. 1009-1009 ◽  
Author(s):  
L. A. Carey ◽  
H. S. Rugo ◽  
P. K. Marcom ◽  
W. Irvin ◽  
M. Ferraro ◽  
...  

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