Breast Cancer Classification Using Nanochannel Arrays

2012 ◽  
Vol 1468 ◽  
Author(s):  
Kelly Flanagan ◽  
Krishna Vattipalli ◽  
Anjan Panneer Selvam ◽  
Shalini Prasad
Keyword(s):  
Breast Cancer ◽  
Electrochemical Impedance ◽  
Cellular Level ◽  
Cancer Diagnostics ◽  
Non Invasive ◽  
Cell Lysate ◽  
Disease Initiation ◽  
Nanochannel Arrays

ABSTRACTThe ability to design a diagnostics platform that can achieve cellular level as well as molecular level classification of targeted biomarkers may be critical toward understanding the fundamental basis of disease initiation and proliferation in breast cancer. In this context, we have looked at breast cancer diagnostics and present the design of a biomedical microdevice for evaluating and classifying cellular samples based on their risk towards metastasis. Primary breast cancer tumors have been shown to contain heterogeneous populations of neoplastic cells. Recent studies have demonstrated that subpopulations of these cells can cooperate in the initiation of collective invasion and metastasis. The role of the sensor we present is to identify the type of cells as non-invasive/”follower” cells that do not result in metastasis or invasive “leader” cells that are thought to be responsible for metastasis, from breast cancer cell lysate samples, thus enabling more selective classification of samples, with the eventual goal of early diagnosis. The device is an electrical immunoassay that incorporates the PDGF- receptor to screen the cell lysate samples for the PGDF binding protein that is preferentially expressed in the invasive, “leader” cells. The sensor comprises of alumina nanochannel arrays integrated on to a microelectronic platform operating on the principle of electrochemical impedance spectroscopy to quantify the PGDF protein from the cell lysates.

scholarly journals Prognostic and Clinicopathological Significance of MiR-155 in Breast Cancer: A Systematic Review

2020 ◽  
Vol 21 (16) ◽  
pp. 5834
Author(s):  
Anna Maria Grimaldi ◽  
Silvia Nuzzo ◽  
Gerolama Condorelli ◽  
Marco Salvatore ◽  
Mariarosaria Incoronato
Keyword(s):  
Breast Cancer ◽  
Systematic Review ◽  
Prognostic Biomarker ◽  
Survival Rates ◽  
Prognostic Significance ◽  
Unmet Need ◽  
Non Invasive ◽  
Clinicopathological Significance ◽  
Present Systematic Review

There is an unmet need for novel non-invasive prognostic molecular tumour markers for breast cancer (BC). Accumulating evidence shows that miR-155 plays a pivotal role in tumorigenesis. Generally, miR-155 is considered an oncogenic miRNA promoting tumour growth, angiogenesis and aggressiveness of BC. Therefore, many researchers have focused on its use as a prognostic biomarker and therapeutic target. However, its prognostic value for BC patients remains controversial. To address this issue, the present systematic review aims to summarize the available evidence and give a picture of a prognostic significance of miR-155 in BC pathology. All eligible studies were searched on PubMed and EMBASE databases through various search strategies. Starting from 289 potential eligible records, data were examined from 28 studies, comparing tissue and circulating miR-155 expression levels with clinicopathological features and survival rates in BC patients. We discuss the pitfalls and challenges that need to be assessed to understand the power of miR-155 to respond to real clinical needs, highlighting the consistency, robustness or lack of results obtained to sate in translating this molecule to clinical practice. Our paper suggests that the prognostic role of miR-155 in the management of BC needs to be further verified.

scholarly journals Exosomes: A Forthcoming Era of Breast Cancer Therapeutics

Cancers ◽  
2021 ◽  
Vol 13 (18) ◽  
pp. 4672
Author(s):  
Banashree Bondhopadhyay ◽  
Sandeep Sisodiya ◽  
Faisal Abdulrahman Alzahrani ◽  
Muhammed A. Bakhrebah ◽  
Atul Chikara ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Cancer Therapeutics ◽  
Therapeutic Strategies ◽  
Breast Cancer Patients ◽  
Liquid Biopsies ◽  
Non Invasive ◽  
Tumor Tissues ◽  
Circulating Markers

Despite the recent advancements in therapeutics and personalized medicine, breast cancer remains one of the most lethal cancers among women. The prognostic and diagnostic aids mainly include assessment of tumor tissues with conventional methods towards better therapeutic strategies. However, current era of gene-based research may influence the treatment outcome particularly as an adjunct to diagnostics by exploring the role of non-invasive liquid biopsies or circulating markers. The characterization of tumor milieu for physiological fluids has been central to identifying the role of exosomes or small extracellular vesicles (sEVs). These exosomes provide necessary communication between tumor cells in the tumor microenvironment (TME). The manipulation of exosomes in TME may provide promising diagnostic/therapeutic strategies, particularly in triple-negative breast cancer patients. This review has described and highlighted the role of exosomes in breast carcinogenesis and how they could be used or targeted by recent immunotherapeutics to achieve promising intervention strategies.

scholarly journals Zinc Signaling in the Mammary Gland: For Better and for Worse

Biomedicines ◽  
2021 ◽  
Vol 9 (9) ◽  
pp. 1204
Author(s):  
Moumita Chakraborty ◽  
Michal Hershfinkel
Keyword(s):  
Breast Cancer ◽  
Mammary Gland ◽  
Cancer Progression ◽  
Cellular Level ◽  
Normal Mammary Gland ◽  
Dna And Rna ◽  
Dna And Rna Synthesis ◽  
Zinc Signaling ◽  
Epithelial Physiology

Zinc (Zn2+) plays an essential role in epithelial physiology. Among its many effects, most prominent is its action to accelerate cell proliferation, thereby modulating wound healing. It also mediates affects in the gastrointestinal system, in the testes, and in secretory organs, including the pancreas, salivary, and prostate glands. On the cellular level, Zn2+ is involved in protein folding, DNA, and RNA synthesis, and in the function of numerous enzymes. In the mammary gland, Zn2+ accumulation in maternal milk is essential for supporting infant growth during the neonatal period. Importantly, Zn2+ signaling also has direct roles in controlling mammary gland development or, alternatively, involution. During breast cancer progression, accumulation or redistribution of Zn2+ occurs in the mammary gland, with aberrant Zn2+ signaling observed in the malignant cells. Here, we review the current understanding of the role of in Zn2+ the mammary gland, and the proteins controlling cellular Zn2+ homeostasis and signaling, including Zn2+ transporters and the Gq-coupled Zn2+ sensing receptor, ZnR/GPR39. Significant advances in our understanding of Zn2+ signaling in the normal mammary gland as well as in the context of breast cancer provides new avenues for identification of specific targets for breast cancer therapy.

Identification of non-invasive biomarkers for early detection of breast cancer: A Review

2021 ◽  
Vol 2 (1) ◽  
pp. 01-05
Author(s):  
Asima Tayyab
Keyword(s):  
Breast Cancer ◽  
Early Breast Cancer ◽  
Potential Role ◽  
Small Volume ◽  
Breast Cancer Diagnosis ◽  
Diagnostic Purpose ◽  
Diagnose Breast Cancer ◽  
Non Invasive ◽  
Early Stages

Despite decades of research, diagnostic tests with specificity and accuracy for early breast cancer are yet unavailable. Major problems associated with poor diagnosis are either due to incompetency of reported biomarkers or small volume of patients under study. Moreover, heterogeneity of the disease further complicates the struggle of identifying effective biomarkers. Therefore, to improve the survival rate, look for new, sensitive and specific biomarkers for early breast cancer diagnosis is need of hour. In this study, we have reviewed recently reported serum biomarkers and categorized them based on their biomolecular nature such as protein, ctDNA, epigenetics regulation and miRNA. Potential role of these available biomarkers in early diagnosis of breast cancer has also been discussed. Based on the facts obtained from literature review, it is revealed that using any individual biomolecule as a biomarker is not sufficient to diagnose breast cancer at early stages rather it is suggested that a panel of proteins or miRNAs would offer better sensitivity and specificity. Whereas, unavailability of a potential ctDNA and epigenetics regulation candidate for diagnostic purpose is and suggest the use of more sophisticated techniques to unwound these regulations in serum especially at early stages of breast cancer.

The role of circCNIH4 in the adipocyte's effects on metastasis of breast cancer cells.

2020 ◽  
Vol 38 (15_suppl) ◽  
pp. e13086-e13086
Author(s):  
Xiu Chen ◽  
Jinhai Tang
Keyword(s):  
Breast Cancer ◽  
Wound Healing ◽  
Cell Invasion ◽  
Invasion And Migration ◽  
Non Invasive ◽  
In Vivo Experiments ◽  
And Migration ◽  
Mcf 7

e13086 Background: Obesity is associated with the risk of breast cancer(BCa) incidence and development. However, biological changes in obesity BCa individuals are still uncertain. Nowadays, circCNIH4, one of novel non-coding RNAs, was found to be a non-invasive biomarker in cancers. Methods: We verified the cancer-promoting role of obesity in BCa patients by comparing BMI indexes of 33 BCa and 44 benign tumor patients. Then we cocultured viscera adipose cells(HPA-v) and BCa cells(MCF-7/H and MDA-MB-231/H) to confirm the function of adipocytes on metastasis of BCa cells through wound healing, transwell assays. In vivo experiments were also performed. We analyzed the expression level of circCNIH4 in MCF-7/H, MDA-MB-231/H and different subtypes of BCa cells by quantitative polymerase chain reaction. Simultaneously, we identified inhibited effects of circCNIH4 on metastasis of BCa cells by wound healing, transwell assays and verified the location of circCNIH4 by FISH. Luciferase Assay was used to detect harbored miRNA. Rescue experiments were then applied. Results: We found the BMI of BCa patients(24.37±2.51) was much higher than benign patients(22.97±2.91). Metastasis of BCa cells were obviously promoted after in vitro and in vivo experiments. Then we found the expression of circCNIH4 in MCF-7/H and MDA-MB-231/H were down-regulated 0.71 and 0.52 than that in MCF-7 and MDA-MB-231. Also, circCNIH4 was positively correlated with less aggressive types of BCa cells. Overexpression of circCNIH4 in MDA-MB-231 could suppress cell invasion and migration, while silencing of it in MCF-7 promoted cell invasion and migration. The FISH assay demonstrated that circCNIH4 mainly located in the cytoplasm and might function as a “sponge” for miRNA. MiR-135b functioned as a tumor promoter gene from data of 93 BCa patients (HR = 2.27; 1.01 − 5.12), and it could be captured by circCNIH4 via luciferase and rescued assays. Conclusions: In this study, we revealed that BMI or viscera adipocytes could deteriorate prognosis of BCa and circCNIH4 could be a novel biomarker for non-invasive BCa. In details, circCNIH4 mainly suppressed the adipocyte's pro-metastasis effects on BCa by capturing miR-135b.

The role of core biopsy in the preoperative classification of breast cancer according to prognostic factors

2013 ◽  
Vol 85 (1) ◽  
pp. 1-7
Author(s):  
S. Lanitis ◽  
P. Lazari ◽  
Ch. Kontovounisios ◽  
Ch. Karaliotas ◽  
G. Sgourakis ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Prognostic Factors ◽  
Core Biopsy

Role of normalization of breast thermogram images and automatic classification of breast cancer

2017 ◽  
Vol 35 (1) ◽  
pp. 57-70 ◽  
Author(s):  
Dayakshini Sathish ◽  
Surekha Kamath ◽  
Keerthana Prasad ◽  
Rajagopal Kadavigere
Keyword(s):  
Breast Cancer ◽  
Automatic Classification

scholarly journals Formulation of probability-based pervasive information set features and Hanman transform classifier for the categorization of mammograms

2021 ◽  
Vol 3 (6) ◽  
Author(s):  
Jyoti Dabass ◽  
M. Hanmandlu ◽  
Rekha Vig
Keyword(s):  
Breast Cancer ◽  
Deep Learning ◽  
Statistical Analysis ◽  
Fuzzy Set ◽  
State Of The Art ◽  
Entropy Function ◽  
Information Set ◽  
Learning Architectures

AbstractWith aim of detecting breast cancer at the early stages using mammograms, this study presents the formulation of five feature types by extending the information set to encompass the concept of an intuitionist fuzzy set. The resulting pervasive information set gives not only the certainty of the pixel intensities of mammograms to a class but also the deficiency in the fuzzy modeling referred to as the hesitancy. The generalized adaptive Hanman Anirban fuzzy entropy function is shown to be equivalent to the hesitancy entropy function. The probability-based fuzzy Hanman transform and the pervasive Information with probability taking the role of hesitancy degree help derive the above five feature types termed as probability-based pervasive Information set features. The effectiveness of each feature type is demonstrated on the mini-MIAS and DDSM databases for the multi-class categorization of mammograms using the Hanman transform classifier. The statistical analysis by ANOVA test proves that the features are statistically significant and the experimental results are shown to be clinically relevant by the expert radiologists. The performance of the five feature types is either superior to or equal to that of some deep learning architectures on comparison but they outperform the state-of-the-art literature methods in the classification of breast cancer using mammograms.

scholarly journals Regulation of Exosomes in the Pathogenesis of Breast Cancer

2021 ◽  
Author(s):  
Congjian Shi ◽  
Hongqin Yang ◽  
Zhengchao Wang ◽  
Zhenghong Zhang
Keyword(s):  
Breast Cancer ◽  
Lipid Bilayers ◽  
Cell Types ◽  
Cancer Diagnostics ◽  
Major Health Problem ◽  
Major Health ◽  
Diagnostic Strategies ◽  
Therapeutic Tools ◽  
Common Malignancy

Extracellular vesicles (EVs) are a heterogeneous group of endogenous nanoscale vesicles that are secreted by various cell types. Based on their biogenesis and size distribution, EVs can be broadly classified as exosomes and microvesicles. Exosomes are enveloped by lipid bilayers with a size of 30–150 nm in diameter, which contain diverse biomolecules, including lipids, proteins and nucleic acids. Exosomes transport their bioactive cargoes from original cells to recipient cells, thus play crucial roles in mediating intercellular communication. Breast cancer is the most common malignancy among women and remains a major health problem worldwide, diagnostic strategies and therapies aimed at breast cancer are still limited. Growing evidence shows that exosomes are involved in the pathogenesis of breast cancer, including tumorigenesis, invasion and metastasis. Here, we provide a straightforward overview of exosomes and highlight the role of exosomes in the pathogenesis of breast cancer, moreover, we discuss the potential application of exosomes as biomarkers and therapeutic tools in breast cancer diagnostics and therapeutics.

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