Identification of novel breast cancer-associated transcripts by uniGene database mining and gene expression analysis in normal and malignant cells

2012 ◽  
Vol 52 (3) ◽  
pp. 316-329
Author(s):  
Stéphanie A.-S. Laversin ◽  
Vinaya M. Phatak ◽  
Des G. Powe ◽  
Geng Li ◽  
Amanda K. Miles ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Gene Expression ◽  
Expression Analysis ◽  
Gene Expression Analysis ◽  
Malignant Cells ◽  
Database Mining ◽  
Unigene Database

scholarly journals An open-label, pilot study of veliparib and lapatinib in patients with metastatic, triple-negative breast cancer

2021 ◽  
Vol 23 (1) ◽  
Author(s):  
Erica M. Stringer-Reasor ◽  
Jori E. May ◽  
Eva Olariu ◽  
Valerie Caterinicchia ◽  
Yufeng Li ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Gene Expression ◽  
Dna Repair ◽  
Pilot Study ◽  
Expression Analysis ◽  
Triple Negative Breast Cancer ◽  
Gene Expression Analysis ◽  
Triple Negative ◽  
Egfr Inhibition ◽  
Link Type

Abstract Background Poly (ADP-ribose)-polymerase inhibitors (PARPi) have been approved for cancer patients with germline BRCA1/2 (gBRCA1/2) mutations, and efforts to expand the utility of PARPi beyond BRCA1/2 are ongoing. In preclinical models of triple-negative breast cancer (TNBC) with intact DNA repair, we have previously shown an induced synthetic lethality with combined EGFR inhibition and PARPi. Here, we report the safety and clinical activity of lapatinib and veliparib in patients with metastatic TNBC. Methods A first-in-human, pilot study of lapatinib and veliparib was conducted in metastatic TNBC (NCT02158507). The primary endpoint was safety and tolerability. Secondary endpoints were objective response rates and pharmacokinetic evaluation. Gene expression analysis of pre-treatment tumor biopsies was performed. Key eligibility included TNBC patients with measurable disease and prior anthracycline-based and taxane chemotherapy. Patients with gBRCA1/2 mutations were excluded. Results Twenty patients were enrolled, of which 17 were evaluable for response. The median number of prior therapies in the metastatic setting was 1 (range 0–2). Fifty percent of patients were Caucasian, 45% African–American, and 5% Hispanic. Of evaluable patients, 4 demonstrated a partial response and 2 had stable disease. There were no dose-limiting toxicities. Most AEs were limited to grade 1 or 2 and no drug–drug interactions noted. Exploratory gene expression analysis suggested baseline DNA repair pathway score was lower and baseline immunogenicity was higher in the responders compared to non-responders. Conclusions Lapatinib plus veliparib therapy has a manageable safety profile and promising antitumor activity in advanced TNBC. Further investigation of dual therapy with EGFR inhibition and PARP inhibition is needed. Trial registration ClinicalTrials.gov, NCT02158507. Registered on 12 September 2014

Gene expression analysis of invasive breast carcinoma yields differential patterns in luminal subtypes of breast cancer

2021 ◽  
pp. 151814
Author(s):  
Ahmed S. Abdelhafiz ◽  
Merhan A. Fouda ◽  
Nahla A. Elzefzafy ◽  
Iman I. Taha ◽  
Omar M. Mohemmed ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Gene Expression ◽  
Breast Carcinoma ◽  
Expression Analysis ◽  
Gene Expression Analysis ◽  
Invasive Breast Carcinoma

scholarly journals Gene expression analysis supports tumor threshold over 2.0 cm for T-category breast cancer

2016 ◽  
Vol 2016 (1) ◽  
Author(s):  
Hiroko K. Solvang ◽  
Arnoldo Frigessi ◽  
Fateme Kaveh ◽  
Margit L. H. Riis ◽  
Torben Lüders ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Gene Expression ◽  
Expression Analysis ◽  
Gene Expression Analysis ◽  
T Category

scholarly journals Quantitative hormone receptor (HR) expression and gene expression analysis in HR+ inflammatory breast cancer (IBC) vs non-IBC

BMC Cancer ◽  
2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Toshiaki Iwase ◽  
Kenichi Harano ◽  
Hiroko Masuda ◽  
Kumiko Kida ◽  
Kenneth R. Hess ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Gene Expression ◽  
Expression Analysis ◽  
Inflammatory Breast Cancer ◽  
Hormone Receptor ◽  
Gene Expression Analysis
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