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Clustered protocadherins methylation alterations in cancer.

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Clustered protocadherins (PCDHs) map in tandem at human chromosome 5q31 and comprise three multi-genes clusters: α-, β- and γ-PCDH. The expression of this cluster consists of a complex mechanism involving DNA hub formation through DNA-CCTC binding factor (CTCF) interaction. Methylation

Modeling familial clustered breast cancer using published data.

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The purpose of this research was to model the familial clustering of breast cancer and to provide an accurate risk estimate for individuals from the general population, based on their family history of breast and ovarian cancer. We constructed a genetic model as an extension of a model by Claus et

US of mammographically detected clustered microcalcifications.

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OBJECTIVE To determine whether ultrasonography (US) can depict breast masses associated with mammographically detected clustered microcalcifications and whether the visibility at US is different between benign and malignant lesions. METHODS Ninety-four patients with 100 mammographically detected

Hypoxia Triggers the Intravasation of Clustered Circulating Tumor Cells

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Circulating tumor cells (CTCs) are shed from solid cancers in the form of single or clustered cells, and the latter display an extraordinary ability to initiate metastasis. Yet, the biological phenomena that trigger the shedding of CTC clusters from a primary cancerous lesion are poorly understood.

Hybrid Clustered Nanoparticles for Chemo-Antibacterial Combinatorial Cancer Therapy.

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Background: A great number of therapeutic limitations, such as chemoresistance, high dosage, and long treatments, are still present in cancer therapy, and are often followed by side effects such as infections, which represent the primary cause of death among patients. Methods: We

Independent component analysis to detect clustered microcalcification breast cancers.

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The presence of clustered microcalcifications is one of the earliest signs in breast cancer detection. Although there exist many studies broaching this problem, most of them are nonreproducible due to the use of proprietary image datasets. We use a known subset of the currently largest publicly

Tumor-homing, size-tunable clustered nanoparticles for anticancer therapeutics.

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We present herein a pH-responsive dynamic DNA nanocluster based on gold nanoparticles with highly packed nucleic acid assembly and evaluate its potential as a drug delivery vehicle with tumor-specific accumulation. Each gold nanoparticle was readily functionalized with various functional DNA

A relative survival model for clustered responses.

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Relative Survival is the ratio of the overall survival of a group of patients to the expected survival for a demographically similar group. It is commonly used in disease registries to estimate the effect of a particular disease when the true cause of death is not reliably known. Regression models

Segmentation of suspicious clustered microcalcifications in mammograms.

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We have developed a multistage computer-aided diagnosis (CAD) scheme for the automated segmentation of suspicious microcalcification clusters in digital mammograms. The scheme consisted of three main processing steps. First, the breast region was segmented and its high-frequency content was enhanced

Stimuli-responsive clustered nanoparticles for improved tumor penetration and therapeutic efficacy.

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A principal goal of cancer nanomedicine is to deliver therapeutics effectively to cancer cells within solid tumors. However, there are a series of biological barriers that impede nanomedicine from reaching target cells. Here, we report a stimuli-responsive clustered nanoparticle to systematically

Accumulation of oxidatively induced clustered DNA lesions in human tumor tissues.

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Increased levels of oxidatively induced DNA damage have been reported in various cases of human pathogenesis like age-related and chronic diseases. Advances in experimental carcinogenesis associate high oxidative stress with genome instability and oncogenic transformation. Cancer biomarkers are

Hierarchical likelihood inference on clustered competing risks data.

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The frailty model, an extension of the proportional hazards model, is often used to model clustered survival data. However, some extension of the ordinary frailty model is required when there exist competing risks within a cluster. Under competing risks, the underlying processes affecting the events

Multiple Clustered Dermatofibromas Associated With Pulmonary Arterial Hypertension.

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BACKGROUND Dermatofibromas (DFs) are common, benign, fibrohistiocytic tumors of the skin. Clinically, if they present in a rapid succession, they are termed multiple eruptive DFs. When they arise in a localized distribution, they are termed multiple clustered dermatofibromas (MCDFs). These DF

Segmentation of Heavily Clustered Nuclei from Histopathological Images.

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Automated cell nucleus segmentation is the key to gain further insight into cell features and functionality which support computer-aided pathology in early diagnosis of diseases such as breast cancer and brain tumour. Despite considerable advances in automated segmentation, it still remains a

Modeling clustered binary data with excess zero clusters.

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We establish a zero-inflated (random-effects) logistic-Gaussian model for clustered binary data in which members of clusters in one latent class have a zero response with probability one, and members of clusters in a second latent class yield correlated outcomes. Response probabilities in terms of

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