scholarly journals Intra-Tumoral Angiogenesis Is Associated with Inflammation, Immune Reaction and Metastatic Recurrence in Breast Cancer

2020 ◽  
Vol 21 (18) ◽  
pp. 6708 ◽  
Author(s):  
Masanori Oshi ◽  
Stephanie Newman ◽  
Yoshihisa Tokumaru ◽  
Li Yan ◽  
Ryusei Matsuyama ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Cancer Patients ◽  
Immune Reaction ◽  
M2 Macrophage ◽  
Breast Cancer Patients ◽  
Related Gene ◽  
Mesenchymal Transition ◽  
Metastatic Recurrence ◽  
Gene Sets ◽  
Angiogenesis Pathway

Angiogenesis is one of the hallmarks of cancer. We hypothesized that intra-tumoral angiogenesis correlates with inflammation and metastasis in breast cancer patients. To test this hypothesis, we generated an angiogenesis pathway score using gene set variation analysis and analyzed the tumor transcriptome of 3999 breast cancer patients from The Cancer Genome Atlas Breast Cancer (TCGA-BRCA), Molecular Taxonomy of Breast Cancer International Consortium (METABRIC), GSE20194, GSE25066, GSE32646, and GSE2034 cohorts. We found that the score correlated with expression of various angiogenesis-, vascular stability-, and sphingosine-1-phosphate (S1P)-related genes. Surprisingly, the angiogenesis score was not associated with breast cancer subtype, Nottingham pathological grade, clinical stage, response to neoadjuvant chemotherapy, or patient survival. However, a high score was associated with a low fraction of both favorable and unfavorable immune cell infiltrations except for dendritic cell and M2 macrophage, and with Leukocyte Fraction, Tumor Infiltrating Lymphocyte Regional Fraction and Lymphocyte Infiltration Signature scores. High-score tumors had significant enrichment for unfavorable inflammation-related gene sets (interleukin (IL)6, and tumor necrosis factor (TNF)α- and TGFβ-signaling), as well as metastasis-related gene sets (epithelial mesenchymal transition, and Hedgehog-, Notch-, and WNT-signaling). High score was significantly associated with metastatic recurrence particularly to brain and bone. In conclusion, using the angiogenesis pathway score, we found that intra-tumoral angiogenesis is associated with immune reaction, inflammation and metastasis-related pathways, and metastatic recurrence in breast cancer.

Serum HER-2: sensitivity, specificity, and predictive values for detecting metastatic recurrence in breast cancer patients

2013 ◽  
Vol 139 (6) ◽  
pp. 1005-1013 ◽  
Author(s):  
Patricia Diana Sørensen ◽  
Erik Hugger Jakobsen ◽  
Jonna Skov Madsen ◽  
Eva Brix Petersen ◽  
Rikke Fredslund Andersen ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Cancer Patients ◽  
Breast Cancer Patients ◽  
Predictive Values ◽  
Metastatic Recurrence ◽  
Her 2 ◽  
Sensitivity Specificity

scholarly journals The lingering mysteries of metastatic recurrence in breast cancer

2020 ◽  
Vol 124 (1) ◽  
pp. 13-26
Author(s):  
Alessandra I. Riggio ◽  
Katherine E. Varley ◽  
Alana L. Welm
Keyword(s):  
Breast Cancer ◽  
Cancer Patients ◽  
Metastatic Disease ◽  
Systemic Therapy ◽  
Initial Diagnosis ◽  
Diagnosis And Treatment ◽  
Breast Cancer Patients ◽  
Key Factors ◽  
Metastatic Recurrence ◽  
Metastatic Relapse

AbstractDespite being the hallmark of cancer that is responsible for the highest number of deaths, very little is known about the biology of metastasis. Metastatic disease typically manifests after a protracted period of undetectable disease following surgery or systemic therapy, owing to relapse or recurrence. In the case of breast cancer, metastatic relapse can occur months to decades after initial diagnosis and treatment. In this review, we provide an overview of the known key factors that influence metastatic recurrence, with the goal of highlighting the critical unanswered questions that still need to be addressed to make a difference in the mortality of breast cancer patients.

Capture of EpCAM-negative and vimentin-positive circulating cancer cells (CCCs) from blood of metastatic breast cancer patients using ApoStream.

2012 ◽  
Vol 30 (15_suppl) ◽  
pp. e21029-e21029
Author(s):  
Christopher Neal ◽  
Sujita Sukumaran ◽  
Vishal Gupta ◽  
Insiya Jafferji ◽  
Dave Hasegawa ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Metastatic Breast Cancer ◽  
Cancer Cells ◽  
Cancer Patients ◽  
Cancer Progression ◽  
Laser Scanning ◽  
Metastatic Breast ◽  
Breast Cancer Patients ◽  
Mesenchymal Transition ◽  
Circulating Cancer Cells

e21029 Background: Up-regulation of epithelial mesenchymal transition (EMT) and the reduction of epithelial marker expression is associated with invasion, cancer progression, resistance to conventional therapies and poor prognosis. ApoStream, a novel continuous flow dielectrophoresis field-flow fractionation (DEP-FFF) device, was used to enable antibody-independent capture of circulating cancer cells (CCCs,also referred to as circulating tumor cells, CTC) for subsequent phenotyping of EMT markers. Methods: A side-by-side comparison of CellSearch and ApoStream was performed on 10 metastatic breast cancer patients. A multiplexed immunofluorescent assay and laser scanning cytometry analyses were used to unambiguously identify CK+/CD45–/DAPI+ CCCs and quantify their EpCAM and vimentin expression. Results: ApoStream recovered CK+/CD45–/DAPI+ CCCs from each breast cancer patient sample tested (mean=255 CCCs per 7.5 ml blood, see Table). ApoStream consistently recovered significantly higher number of CCCs compared to CellSearch (p=0.024). ApoStream recovered both EpCAM+ and EpCAM– CCCs in 50% and 90% of patients, respectively. Vimentin+ CCCs were isolated from 90% of patients. Conclusions: ApoStream’s higher capture efficiency demonstrated the majority of CCCs from breast cancer patients were EpCAM negative and vimentin-positive. ApoStream technology can be used to monitor CCCs undergoing EMT. [Table: see text]

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.

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