Efficient Detection of Suspected areas in Mammographic Breast Cancer Images

A novel and sensitive RF magnetron sputtered tin oxide (SnO2) thin film based breast cancer immunosensor that combines exquisite sensitivity, rapid determination and specificity with a simple, inexpensive and easy-to-use technology has been realized.

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An ESIPT based chromogenic and fluorescent ratiometric probe for Zn2+ with imaging in live cells and tissues

New Journal of Chemistry ◽

10.1039/c8nj04695f ◽

2019 ◽

Vol 43 (4) ◽

pp. 1857-1863 ◽

Cited By ~ 6

Author(s):

Saswati Gharami ◽

Krishnendu Aich ◽

Deblina Sarkar ◽

Paramita Ghosh ◽

Nabendu Murmu ◽

...

Keyword(s):

Breast Cancer ◽

Cancer Cells ◽

Potential Application ◽

Human Breast Cancer ◽

Breast Cancer Cells ◽

Live Cells ◽

Human Breast Cancer Cells ◽

Human Breast ◽

Efficient Detection ◽

Ratiometric Probe

A benzothiazole based fluorescent probe for selective and efficient detection of Zn2+ showing potential application in human breast cancer cells.

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Surrogate-assisted firefly algorithm for breast cancer detection

Journal of Intelligent & Fuzzy Systems ◽

10.3233/jifs-201124 ◽

2021 ◽

pp. 1-12

Author(s):

Wenhua Zhu ◽

Hu Peng ◽

Chaohui Leng ◽

Changshou Deng ◽

Zhijian Wu

Keyword(s):

Breast Cancer ◽

Cancer Detection ◽

Firefly Algorithm ◽

Severe Disease ◽

Breast Cancer Detection ◽

Breast Cancer Dataset ◽

Cancer Dataset ◽

Computation Cost ◽

Women Health ◽

Efficient Detection

Breast cancer is a severe disease for women health, however, with expensive diagnostic cost or obsolete medical technique, many patients are hard to obtain prompt medical treatment. Thus, efficient detection result of breast cancer while lower medical cost may be a promising way to protect women health. Breast cancer detection using all features will take a lot of time and computational resources. Thus, in this paper, we proposed a novel framework with surrogate-assisted firefly algorithm (FA) for breast cancer detection (SFA-BCD). As an advanced evolutionary algorithm (EA), FA is adopted to make feature selection, and the machine learning as classifier identify the breast cancer. Moreover, the surrogate model is utilized to decrease computation cost and expensive computation, which is the approximation function built by offline data to the real object function. The comprehensive experiments have been conducted under several breast cancer dataset derived from UCI. Experimental results verified that the proposed framework with surrogate-assisted FA significantly reduced the computation cost.

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HER2 Phenotyping of CTCs By Peptide-Functionalized Nanoparticles As The Diagnostic Biomarkers of Anti-HER2 Treatment in Breast Cancer

10.21203/rs.3.rs-504941/v1 ◽

2021 ◽

Author(s):

Mengting Wang ◽

Yaxin Liu ◽

Bin Shao ◽

Xiaoran Liu ◽

Chen Wang ◽

...

Keyword(s):

Breast Cancer ◽

Combination Therapy ◽

Dynamic Change ◽

Progression Free Survival ◽

Chemotherapeutic Agents ◽

Her2 Status ◽

Her2 Overexpression ◽

Breast Cancer Patients ◽

Efficient Detection ◽

High Efficient

Abstract Background: The efficacy of anti-human epidermal growth factor receptor 2 (HER2/neu) treatment is impacted by tissue-based evaluation bias due to tumor heterogeneity and dynamic changes of HER2 in breast cancer. Circulating tumor cell (CTC)-based HER2 phenotyping provides an integral and real-time assessment, benefiting accurate HER2 diagnosis for improved therapeutics.Methods: The study was exploratory. Fifty-four breast cancer patients, including 26 histopathologic HER2/neu-positive (Histo-HER2/neu+) and 28 HER2/neu-negative (Histo-HER2/neu+), were enrolled for blood draws before a new line of treatment. We used peptide-functionalized magnetic nanoparticles to isolate CTCs from 2.0 mL whole blood and determined HER2 phenotypes of the enriched CTCs by immunocytochemistry (ICC). We investigated the correlation of the enumeration and HER2 phenotyping on baseline CTCs with the diagnosis, the prognosis, and the efficacy of the trastuzumab in combination with chemotherapeutic agents of breast cancer. We also explored the dynamic change of HER2 phenotypes on CTCs after the combination therapy in a cohort of Histo-HER2/neu+ individuals (n = 14).Results: We achieved high-efficient detection of the CTC-positive cases (≥ 3 CTCs) (38/54, 70.4%), from whom 71.1% (27/38) had a concordant HER2 status on CTCs and tumor tissues at baseline. Pretheraputic CTC enumeration showed a significant correlation with the histopathologic diagnosis (e.g. estrogen receptor/progesterone receptor (ER/PR) status or proliferation of cancer cells) and the progression-free survival/overall survival (PFS/OS) of breast cancer. However, it was not a practicable biomarker to predict the efficacy of the trastuzumab-based combination therapy. In contrast, we demonstrated a significantly higher possibility of good overall responses in the patients with < 3 CTCs (P = 0.006) or with HER2 overexpression in CTCs (CTC-HER2+) at baseline, as compared to the individuals without HER2 overexpression in CTCs (CTC-HER2–) (P = 0.028).Conclusions: We demonstrate the significance of the peptide-functionalized magnetic nanoparticle in noninvasive detection and HER2 phenotyping of CTCs, and highlight its diagnostic and prognostic values for the patients about to start the anti-HER2 treatment.

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Multiplex immunofluorescence to measure dynamic changes in tumor-infiltrating lymphocytes and PD-L1 in early-stage breast cancer

Breast Cancer Research ◽

10.1186/s13058-020-01378-4 ◽

2021 ◽

Vol 23 (1) ◽

Author(s):

Katherine Sanchez ◽

Isaac Kim ◽

Brie Chun ◽

Joanna Pucilowska ◽

William L. Redmond ◽

...

Keyword(s):

Breast Cancer ◽

Hierarchical Linear Modeling ◽

Immune Cell ◽

Early Stage ◽

Post Treatment ◽

Early Stage Breast Cancer ◽

Linear Modeling ◽

Dynamic Changes ◽

Efficient Detection ◽

The Impact

Abstract Background The H&E stromal tumor-infiltrating lymphocyte (sTIL) score and programmed death ligand 1 (PD-L1) SP142 immunohistochemistry assay are prognostic and predictive in early-stage breast cancer, but are operator-dependent and may have insufficient precision to characterize dynamic changes in sTILs/PD-L1 in the context of clinical research. We illustrate how multiplex immunofluorescence (mIF) combined with statistical modeling can be used to precisely estimate dynamic changes in sTIL score, PD-L1 expression, and other immune variables from a single paraffin-embedded slide, thus enabling comprehensive characterization of activity of novel immunotherapy agents. Methods Serial tissue was obtained from a recent clinical trial evaluating loco-regional cytokine delivery as a strategy to promote immune cell infiltration and activation in breast tumors. Pre-treatment biopsies and post-treatment tumor resections were analyzed by mIF (PerkinElmer Vectra) using an antibody panel that characterized tumor cells (cytokeratin-positive), immune cells (CD3, CD8, CD163, FoxP3), and PD-L1 expression. mIF estimates of sTIL score and PD-L1 expression were compared to the H&E/SP142 clinical assays. Hierarchical linear modeling was utilized to compare pre- and post-treatment immune cell expression, account for correlation of time-dependent measurement, variation across high-powered magnification views within each subject, and variation between subjects. Simulation methods (Monte Carlo, bootstrapping) were used to evaluate the impact of model and tissue sample size on statistical power. Results mIF estimates of sTIL and PD-L1 expression were strongly correlated with their respective clinical assays (p < .001). Hierarchical linear modeling resulted in more precise estimates of treatment-related increases in sTIL, PD-L1, and other metrics such as CD8+ tumor nest infiltration. Statistical precision was dependent on adequate tissue sampling, with at least 15 high-powered fields recommended per specimen. Compared to conventional t-testing of means, hierarchical linear modeling was associated with substantial reductions in enrollment size required (n = 25➔n = 13) to detect the observed increases in sTIL/PD-L1. Conclusion mIF is useful for quantifying treatment-related dynamic changes in sTILs/PD-L1 and is concordant with clinical assays, but with greater precision. Hierarchical linear modeling can mitigate the effects of intratumoral heterogeneity on immune cell count estimations, allowing for more efficient detection of treatment-related pharmocodynamic effects in the context of clinical trials. Trial registration NCT02950259.

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Virus-Like Particles in a Human Breast Cancer: Structural Similarity to Previously Reported Particles

Proceedings, annual meeting, Electron Microscopy Society of America ◽

10.1017/s0424820100072332 ◽

1973 ◽

Vol 31 ◽

pp. 378-379

Author(s):

G. Kasnic ◽

S. E. Stewart ◽

C. Urbanski

Keyword(s):

Breast Cancer ◽

Biological Activity ◽

Human Breast Cancer ◽

Osteogenic Sarcoma ◽

Human Tumor ◽

Structural Similarity ◽

Cell Tumor ◽

Human Breast ◽

Human Tumor Cell ◽

Type Particle

We have reported the maturation of an intracisternal A-type particle in murine plasma cell tumor cultures and three human tumor cell cultures (rhabdomyosarcoma, lung adenocarcinoma, and osteogenic sarcoma) after IUDR-DMSO activation. In all of these studies the A-type particle seems to develop into a form with an electron dense nucleoid, presumably mature, which is also intracisternal. A similar intracisternal A-type particle has been described in leukemic guinea pigs. Although no biological activity has yet been demonstrated for these particles, on morphologic grounds, and by the manner in which they develop within the cell, they may represent members of the same family of viruses.

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Further Ultrastructural Observations on Metastatic Nodules of Human Breast Cancer

Proceedings, annual meeting, Electron Microscopy Society of America ◽

10.1017/s042482010010086x ◽

1968 ◽

Vol 26 ◽

pp. 224-225

Author(s):

John L. Swedo ◽

R. W. Talley ◽

John H. L. Watson

Keyword(s):

Breast Cancer ◽

Human Breast Cancer ◽

Estrogen Therapy ◽

Specimen Preparation ◽

Human Breast ◽

Autophagic Vacuoles ◽

Previous Communication ◽

Linear Profiles ◽

Metastatic Nodule

Since the report, which described the ultrastructure of a metastatic nodule of human breast cancer after estrogen therapy, additional ultrastructural observations, including some which are correlative with pertinent findings in the literature concerning mycoplasmas, have been recorded concerning the same subject. Specimen preparation was identical to that in.The mitochondria possessed few cristae, and were deteriorated and vacuolated. They often contained particulates and fibrous structures, sometimes arranged in spindle-shaped bundles, Fig. 1. Another apparent aberration was the occurrence, Fig. 2 (arrows) of linear profiles of what seems to be SER, which lie between layers of RER, and are often recognizably continuous with them.It was noted that the structure of the round bodies, interpreted as within autophagic vacuoles in the previous communication, and of vesicular bodies, described morphologically closely resembled those of some mycoplasmas. Specifically, they simulated or reflected the various stages of replication reported for mycoplasmas grown on solid nutrient. Based on this observation, they are referred to here as “mycoplasma-like” structures, in anticipation of confirmatory evidence from investigations now in progress.

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