Temperature Variation in Breast Tissue Model With and Without Tumor Based on Porous Media

The human body is made by 200 different types of cells, which are separated by voids. Blood supplies the nutrients and minerals to all cells within the tissue through these voids. The breast tissue is treated as a porous media in the study. Tumor includes the vascular (blood) and the extra-vascular (solid) regions. The porosity of a tumor is higher than normal tissue. The present work deals with the temperature variation of normal and tumorous breast tissue based on porous media. The finite element method is used to solve the two-dimensional bio-heat equation. The results show that the temperature profile of normal breast tissue in the porous media model is almost identical with the conventional bio-heat model at correction factor is equal to 0:6. The temperature of tumor region in the porous media model is slightly lower than the conventional bio-heat model. When the porosity is increased, the temperature of normal breast tissue is increased. But in tumorous breast tissue, the temperature is slightly increased in skin surface to anterior part of the tumor and slightly decreased in tumor region. The temperature of normal and tumorous breast tissue is increased when metabolism, blood velocity, and room temperature are increased in the porous media model. The central temperature of the tumor region reaches a steady state faster than anterior and posterior temperature of both normal and tumorous breast tissue in conventional bio-heat model and porous media model.

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MR quantification of abnormal stromal enhancement in the periphery of invasive breast tumors

Journal of Clinical Oncology ◽

10.1200/jco.2009.27.15_suppl.636 ◽

2009 ◽

Vol 27 (15_suppl) ◽

pp. 636-636

Author(s):

N. Nabavizadeh ◽

C. Klifa ◽

D. Newitt ◽

Y. Lu ◽

J. Hattangadi ◽

...

Keyword(s):

Breast Tissue ◽

Normal Breast Tissue ◽

Disease Free Survival ◽

Normal Breast ◽

Intensity Change ◽

High Signal ◽

Breast Cancer Patients ◽

Post Contrast ◽

Tumor Region ◽

The Mean

636 Background: In dynamic contrast-enhanced MRI (DCEMRI), properties of tissue microvasculature and overall vascularity can be quantified using kinetics of contrast enhancement. It has been shown that areas with high signal enhancement ratio (SER) were significantly correlated with high tumor vascularity, and that mean SER in nearby non-cancerous breast stroma was significantly associated with disease free survival. No universally accepted methods exist to determine the optimal extent of histologically normal breast tissue to treat. Although a relationship between normal tissue SER and recurrence has been observed, the spatial relationship of enhancement within the non-cancerous stroma with respect to proximity of the tumor has not been shown. We hypothesized that abnormalities in vasculature exist within the histologically normal breast stroma that can be detected by measuring changes in enhancement intensity. Methods: We performed a secondary analysis of pre-treatment DCEMRI data from 27 invasive breast cancer patients. An automated, user-independent program was used to segment breast tissue from all other structures. A SER threshold was set to identify invasive tumor regions, and a tumor proximity map was generated giving the 3D distance of each normal breast tissue voxel to the nearest tumor voxel. A percent enhancement (PE) map was calculated for the normal stroma using the signal intensity change between the pre-contrast and post-contrast images. The proximity and PE maps were then combined to measure breast tissue enhancement at various distances from the tumor. Results: PE levels in normal breast tissue situated within 2 cm of the tumor region were significantly higher than at all more distant regions. Pairwise comparisons with Turkey's adjusted p-values indicated that the mean PE at 0 cm-1 cm is significantly higher than all other distant levels (p = < 0.0001) and the mean PE at 1 cm-2 cm is significantly higher than 5 cm-6 cm (p = 0.006). Conclusions: Here, we show that the normal-appearing breast stroma within 0 cm to 2 cm of a primary tumor exhibits higher enhancement levels than stroma located far from the tumor. These results suggest that tissue surrounding the tumor region may contain tumor-related angiogenesis. These findings could help personalize surgery and radiation techniques. No significant financial relationships to disclose.

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Ezrin expression in primary breast cancer, metastatic lymph nodes and normal breast tissue

Geburtshilfe und Frauenheilkunde ◽

10.1055/s-0030-1254964 ◽

2010 ◽

Vol 70 (05) ◽

Author(s):

D Gschwantler-Kaulich ◽

C Natter ◽

S Steurer ◽

I Walter ◽

C Singer

Keyword(s):

Breast Cancer ◽

Lymph Nodes ◽

Primary Breast Cancer ◽

Breast Tissue ◽

Normal Breast Tissue ◽

Normal Breast ◽

Metastatic Lymph Nodes ◽

Metastatic Lymph ◽

Ezrin Expression

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Hormone Receptor Expression Variations in Normal Breast Tissue: Preliminary Results of a Prospective Observational Study

Journal of Personalized Medicine ◽

10.3390/jpm11050387 ◽

2021 ◽

Vol 11 (5) ◽

pp. 387

Author(s):

Giacomo Santandrea ◽

Chiara Bellarosa ◽

Dino Gibertoni ◽

Maria C. Cucchi ◽

Alejandro M. Sanchez ◽

...

Keyword(s):

Hormone Receptor ◽

Breast Tissue ◽

Normal Breast Tissue ◽

Normal Breast ◽

Receptor Expression ◽

Hormonal Stimulation ◽

Tissue Samples ◽

Hormonal Receptor ◽

Hormone Receptor Expression ◽

Cystic Disease Fluid Protein

Normal breast tissue undergoes great variations during a woman’s life as a consequence of the different hormonal stimulation. The purpose of the present study was to examine the hormonal receptor expression variations according to age, menstrual cycle, menopausal state and body mass index. To this purpose, 49 tissue samples of normal breast tissue, obtained during surgery performed for benign and malignant conditions, were immunostained with Estrogen (ER), Progesterone (PR) and Androgen receptors (AR). In addition, Ki67 and Gross Cystic Disease Fluid Protein were studied. The data obtained revealed a great variability of hormone receptor expression. ER and AR generally increased in older and post-menopausal women, while young women presented a higher proliferative rate, evaluated with Ki67. PR increase was observed in women with BMI higher than 25. The different hormonal receptor expression could favor the development of breast cancer.

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Expression of c-kit protein in cancer versus normal breast tissue

Współczesna Onkologia ◽

10.5114/wo.2012.30058 ◽

2012 ◽

Vol 4 ◽

pp. 306-309 ◽

Cited By ~ 1

Author(s):

Abdolhassan Talaiezadeh ◽

Seyed Nematollah Jazayeri ◽

Jamal Nateghi

Keyword(s):

Breast Tissue ◽

Normal Breast Tissue ◽

Normal Breast

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Accelerated aging in normal breast tissue of women with breast cancer

Breast Cancer Research ◽

10.1186/s13058-021-01434-7 ◽

2021 ◽

Vol 23 (1) ◽

Author(s):

Shoghag Panjarian ◽

Jozef Madzo ◽

Kelsey Keith ◽

Carolyn M. Slater ◽

Carmen Sapienza ◽

...

Keyword(s):

Breast Cancer ◽

Dna Methylation ◽

Anomaly Detection ◽

Breast Tissue ◽

Preventive Intervention ◽

Normal Breast Tissue ◽

Accelerated Aging ◽

Normal Breast ◽

Age Related ◽

Unsupervised Anomaly Detection

Abstract Background DNA methylation alterations have similar patterns in normal aging tissue and in cancer. In this study, we investigated breast tissue-specific age-related DNA methylation alterations and used those methylation sites to identify individuals with outlier phenotypes. Outlier phenotype is identified by unsupervised anomaly detection algorithms and is defined by individuals who have normal tissue age-dependent DNA methylation levels that vary dramatically from the population mean. Methods We generated whole-genome DNA methylation profiles (GSE160233) on purified epithelial cells and used publicly available Infinium HumanMethylation 450K array datasets (TCGA, GSE88883, GSE69914, GSE101961, and GSE74214) for discovery and validation. Results We found that hypermethylation in normal breast tissue is the best predictor of hypermethylation in cancer. Using unsupervised anomaly detection approaches, we found that about 10% of the individuals (39/427) were outliers for DNA methylation from 6 DNA methylation datasets. We also found that there were significantly more outlier samples in normal-adjacent to cancer (24/139, 17.3%) than in normal samples (15/228, 5.2%). Additionally, we found significant differences between the predicted ages based on DNA methylation and the chronological ages among outliers and not-outliers. Additionally, we found that accelerated outliers (older predicted age) were more frequent in normal-adjacent to cancer (14/17, 82%) compared to normal samples from individuals without cancer (3/17, 18%). Furthermore, in matched samples, we found that the epigenome of the outliers in the pre-malignant tissue was as severely altered as in cancer. Conclusions A subset of patients with breast cancer has severely altered epigenomes which are characterized by accelerated aging in their normal-appearing tissue. In the future, these DNA methylation sites should be studied further such as in cell-free DNA to determine their potential use as biomarkers for early detection of malignant transformation and preventive intervention in breast cancer.

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Postmenopausal Dense Breasts Maintain Premenopausal Levels of GH and Insulin-like Growth Factor Binding Proteins in Vivo

The Journal of Clinical Endocrinology & Metabolism ◽

10.1210/clinem/dgz323 ◽

2020 ◽

Vol 105 (5) ◽

pp. 1617-1628 ◽

Cited By ~ 1

Author(s):

Nina Dabrosin ◽

Charlotta Dabrosin

Keyword(s):

Postmenopausal Women ◽

Breast Density ◽

Breast Tissue ◽

Normal Breast Tissue ◽

Normal Breast ◽

Dense Breast ◽

Breast Cancers ◽

Dense Breast Tissue ◽

Dense Breasts

Abstract Context Dense breast tissue is associated with 4 to 6 times higher risk of breast cancer by poorly understood mechanisms. No preventive therapy for this high-risk group is available. After menopause, breast density decreases due to involution of the mammary gland. In dense breast tissue, this process is haltered by undetermined biological actions. Growth hormone (GH) and insulin-like binding proteins (IGFBPs) play major roles in normal mammary gland development, but their roles in maintaining breast density are unknown. Objective To reveal in vivo levels of GH, IGFBPs, and other pro-tumorigenic proteins in the extracellular microenvironment in breast cancer, in normal breast tissue with various breast density in postmenopausal women, and premenopausal breasts. We also sought to determine possible correlations between these determinants. Setting and Design Microdialysis was used to collect extracellular in vivo proteins intratumorally from breast cancers before surgery and from normal human breast tissue from premenopausal women and postmenopausal women with mammographic dense or nondense breasts. Results Estrogen receptor positive breast cancers exhibited increased extracellular GH (P < .01). Dense breasts of postmenopausal women exhibited similar levels of GH as premenopausal breasts and significantly higher levels than in nondense breasts (P < .001). Similar results were found for IGFBP-1, -2, -3, and -7 (P < .01) and for IGFBP-6 (P <.05). Strong positive correlations were revealed between GH and IGFBPs and pro-tumorigenic matrix metalloproteinases, urokinase-type plasminogen activator, Interleukin 6, Interleukin 8, and vascular endothelial growth factor in normal breast tissue. Conclusions GH pathways may be targetable for cancer prevention therapeutics in postmenopausal women with dense breast tissue.

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