Association between microRNAs expression in primary breast cancer and presence of circulating tumor cells (CTC) in peripheral blood.

2017 ◽  
Vol 35 (15_suppl) ◽  
pp. e23022-e23022
Author(s):  
Michal Mego ◽  
Matus Hajduk ◽  
Marian Karaba ◽  
Gabriel Minarik ◽  
Juraj Benca ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Cancer Patients ◽  
Peripheral Blood ◽  
Primary Tumor ◽  
Epithelial Mesenchymal Transition ◽  
Breast Cancer Patients ◽  
Mesenchymal Transition ◽  
Tumor Dissemination ◽  
Fresh Frozen ◽  
Different Levels

e23022 Background: CTCs play major role in tumor dissemination and progression and represent one of the key component of metastatic cascade. MicroRNAs (miRs) are involved in regulation in several biological processes in cancer including invasion, epithelial-mesenchymal transition (EMT) and disease progression. The aim of this study was to identify miRs in primary tumor associated with presence of CTCs in peripheral blood (PB) in non-metastatic breast cancer patients. Methods: This translational study included 79 patients with primary breast cancer for whom fresh frozen tumor tissue and status of CTCs in peripheral blood were available. CTCs were detected before surgery by qRT-PCR assay for expression of epithelial (CK19) or epithelial-mesenchymal transition (EMT) genes (TWIST1, SNAIL1, SLUG, ZEB1). Total RNA was extracted from fresh frozen primary tumor and the expression profiles were obtained using Human microRNA Microarray v21.0 (Agilent Technologies). Results: We analyzed 48 (60.8%) tumor samples from patients with presence of CTCs in PB and 31 (39.2%) tumors with non-detectable CTCs. From CTCs positive patients, in 20 (41.7%) of them epithelial CTCs (EP_CTC) were detected while in 28 (38.3%) CTCs with EMT (CTC_EMT) phenotype were present. We identified 178 miRs that were expressed at significantly different levels (FDR < 0.05) in tumors with presence of any type of CTCs in PB compared to tumors with non-detectable CTCs. We also identified 174 and 137 miRs (33 overlapping) that were expressed at significantly different levels in tumors with EP_CTCs and CTC_EMT, respectively, compared to tumors with non-detectable CTCs. Overlapping miRs with highest different levels in expression (FDR < 0.01) were miR-3137, miR-3138, miR-3168, miR-605-5p, miR-6165 and miR-6790-5p. Conclusions: We identified for the first time miRs expressed in primary tumor associated with CTCs in peripheral blood in breast cancer patients. Moreover, we identified miRs specifically associated with various subpopulations of CTCs. We suppose, that these miRs could be involved in tumor dissemination and might lead to identification of new therapeutic targets. Study was supported by APVV-14-0327.

Classifying circulating, mutation bearing tumor cells from breast cancer patients.

2013 ◽  
Vol 31 (15_suppl) ◽  
pp. 580-580
Author(s):  
William Strauss ◽  
Paul W. Dempsey ◽  
Jessamine Winer-Jones ◽  
Catherine Bingham ◽  
R. Katherine Alpaugh ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Cancer Patients ◽  
Tumor Cells ◽  
Molecular Analysis ◽  
New Technologies ◽  
Epithelial Mesenchymal Transition ◽  
Breast Cancer Patients ◽  
Disease Heterogeneity ◽  
Mesenchymal Transition ◽  
Tissue Biopsy

580 Background: The treatment of advanced breast cancer demands systemic therapies that can address disease heterogeneity and the development of treatment resistance without a “real-time” molecular window into disease biology. New technologies have focused on increased capture and molecular analysis of circulating tumor cells (CTCs) including cells undergoing epithelial mesenchymal transition (EMT). We conducted a pilot experiment to test the efficiency of capture and cytokeratin (CK) detection and the presence of single point variants (SNV) to determine the best utility of scoring alternatives for CTC. Methods: EpCAM expressing CTC were recovered from breast cancer patients using CellSearch (Veridex) and LiquidBiopsy (Cynvenio Biosystems). EpCAM recovery and CK scoring were indexed in spiked samples and in 12 inflammatory breast cancer (IBC) patient samples using antibodies against CKs 7, 8 or CKs 1-8, 10, 13-16, 18, 19. Additionally, LiquidBiopsy template was analyzed using an Ampliseq 1.0 panel on the IonTorrent PGM. SNV present in the CTC but not white blood cell (WBC) negative controls were identified and where possible, compared to tissue biopsy SNV analyzed using Foundation One (Foundation Medicine). Results: CTCs were detected using CellSearch 10/12 (83%) (range 0-2502 CTC/7.5ml) and LiquidBiopsy 12/12 (100%) (range 6-2800 CTC/7.5mL). More CK positive events were scored using CKs 1-8, 10, 13-16, 18, 19 than CKs 7, 8 in patient samples. Upon sequencing, shared germline polymorphisms were observed in CTC and WBC. Conversely, 1 or 2 SNV were detected in the Epcam selected population but not WBC controls from 6/12 patients (frequency 1.1%-2.1% with 520-5160x coverage) with SNV observed in TP53, MPL, PIK3ca, MET and IDH1. All but one of the PIK3ca mutations were absent in evaluable tissue biopsy. Conclusions: CTC recovery and scoring are two separate events. Altered CK detection emphasized the need to tailor CTC classification to specific disease settings. Sequence analysis showed one correlated SNV among 6 evaluable comparisons to tissue reflecting variable analysis as well as the biologic disparity of metastatic disease. This pilot demonstrates the feasibility of using CTC for molecular analysis.

scholarly journals Spectrum of Epithelial-Mesenchymal Transition Phenotypes in Circulating Tumour Cells from Early Breast Cancer Patients

Cancers ◽  
2019 ◽  
Vol 11 (1) ◽  
pp. 59 ◽  
Author(s):  
Aleksandra Markiewicz ◽  
Justyna Topa ◽  
Anna Nagel ◽  
Jaroslaw Skokowski ◽  
Barbara Seroczynska ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Cancer Patients ◽  
Early Breast Cancer ◽  
Epithelial Mesenchymal Transition ◽  
Tumour Cells ◽  
Molecular Heterogeneity ◽  
Stem Cell Markers ◽  
Circulating Tumour Cells ◽  
Breast Cancer Patients ◽  
Mesenchymal Transition

Circulating tumour cells (CTCs) can provide valuable prognostic information in a number of epithelial cancers. However, their detection is hampered due to their molecular heterogeneity, which can be induced by the epithelial-mesenchymal transition (EMT) process. Therefore, current knowledge about CTCs from clinical samples is often limited due to an inability to isolate wide spectrum of CTCs phenotypes. In the current work, we aimed at isolation and molecular characterization of CTCs with different EMT status in order to establish their clinical significance in early breast cancer patients. We have obtained CTCs-enriched blood fraction from 83 breast cancer patients in which we have tested the expression of epithelial, mesenchymal and general breast cancer CTCs markers (MGB1/HER2/CK19/CDH1/CDH2/VIM/PLS3), cancer stem cell markers (CD44, NANOG, ALDH1, OCT-4, CD133) and cluster formation gene (plakoglobin). We have shown that in the CTCs-positive patients, epithelial, epithelial-mesenchymal and mesenchymal CTCs markers were detected at a similar rate (in 28%, 24% and 24%, respectively). Mesenchymal CTCs were characterized by the most aggressive phenotype (significantly higher expression of CXCR4, uPAR, CD44, NANOG, p < 0.05 for all), presence of lymph node metastases (p = 0.043), larger tumour size (p = 0.023) and 7.33 higher risk of death in the multivariate analysis (95% CI 1.06–50.41, p = 0.04). Epithelial-mesenchymal subtype, believed to correspond to highly plastic and aggressive state, did not show significant impact on survival. Gene expression profile of samples with epithelial-mesenchymal CTCs group resembled pure epithelial or pure mesenchymal phenotypes, possibly underlining degree of EMT activation in particular patient’s sample. Molecular profiling of CTCs EMT phenotype provides more detailed and clinically informative results, proving the role of EMT in malignant cancer progression in early breast cancer.

scholarly journals Loss of inter-cellular cooperation by complete epithelial-mesenchymal transition supports favorable outcomes in basal breast cancer patients

Oncotarget ◽  
2018 ◽  
Vol 9 (28) ◽  
pp. 20018-20033 ◽  
Author(s):  
Anne Grosse-Wilde ◽  
Rolf E Kuestner ◽  
Stephanie M Skelton ◽  
Ellie MacIntosh ◽  
Aymeric Fouquier d’Hérouël ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Cancer Patients ◽  
Epithelial Mesenchymal Transition ◽  
Breast Cancer Patients ◽  
Mesenchymal Transition ◽  
Basal Breast Cancer ◽  
Cellular Cooperation

scholarly journals SNORA71B promotes breast cancer cells across blood–brain barrier by inducing epithelial-mesenchymal transition

Breast Cancer ◽  
2020 ◽  
Vol 27 (6) ◽  
pp. 1072-1081
Author(s):  
Sijia Duan ◽  
Xuliang Luo ◽  
Huihui Zeng ◽  
Xiang Zhan ◽  
Chunlei Yuan
Keyword(s):  
Breast Cancer ◽  
Brain Metastasis ◽  
Cancer Cells ◽  
Cancer Patients ◽  
Blood Brain Barrier ◽  
Epithelial Mesenchymal Transition ◽  
Brain Barrier ◽  
Breast Cancer Patients ◽  
Mesenchymal Transition ◽  
Blood Brain

Abstract Background Brain metastasis (BM) is a dreadful complication that significantly impacts the quality of life in breast cancer patients. A key process during brain metastasis is the migration of cancer cells across blood–brain barrier (BBB). However, the role of snoRNAs regulating BBB in BM is still unknown. Methods Here SNORic and GEO databases were used to identify differentially expressed snoRNAs between brain metastatic and non-metastatic breast cancer (BC) tissues. The effects of SNORA71B on the capacities of proliferation, migration, invasion, epithelial-mesenchymal transition (EMT), and BBB invasion of BC cells were evaluated by CCK8, transwell, western blot, and BBB model, respectively. Results SNORA71B was highly expressed in high BM BC tissues and cells compared to low BM BC controls. Survival analysis revealed high expression of SNORA71B was significantly associated with poor PPS and OS in breast cancer patients. ROC curve showed that SNORA71B might act as biomarker for breast cancer. Moreover, SNORA71B significantly promoted proliferation, migration, and invasion of BC cells with different BM abilities. Importantly, SNORA71B promoted the EMT process of low BM BC cells. SNORA71B knockdown inhibited the high BM BC cells across BBB, while EMT activator dramatically abrogated this inhibited effect. Conclusions In conclusion, SNORA71B promotes BC cells across the BBB partly via inducing EMT.

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