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PubMed Journals Articles About "Identification Transfer Spatial Transcriptomics Signatures Cancer Diagnosis" RSS

06:15 EST 21st February 2020 | BioPortfolio

Identification Transfer Spatial Transcriptomics Signatures Cancer Diagnosis PubMed articles on BioPortfolio. Our PubMed references draw on over 21 million records from the medical literature. Here you can see the latest Identification Transfer Spatial Transcriptomics Signatures Cancer Diagnosis articles that have been published worldwide.

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Showing "Identification transfer spatial transcriptomics signatures cancer diagnosis" PubMed Articles 1–25 of 33,000+

A Heuristic Algorithm for Identifying Molecular Signatures in Cancer.

Molecular signatures of cancer, e.g., genes or microRNAs (miRNAs), have been recognized very important in predicting the occurrence of cancer. From gene-expression and miRNA-expression data, the challenge of identifying molecular signatures lies in the huge number of molecules compared to the small number of samples. To address this issue, in this work, we propose a heuristic algorithm to identify molecular signatures, termed HAMS, for cancer diagnosis by modeling it as a multi-objective optimization proble...


MicroRNA expression profiling analysis in serum for nasopharyngeal carcinoma diagnosis.

Circulating microRNAs have become reliable sources of non-invasive biomarkers for cancer diagnosis. miRNA expression analysis in blood circulation for the identification of novel signatures might assist the early detection of nasopharyngeal carcinoma (NPC) patients.

Computational tools to detect signatures of mutational processes in DNA from tumours: A review and empirical comparison of performance.

Mutational signatures refer to patterns in the occurrence of somatic mutations that might be uniquely ascribed to particular mutational process. Tumour mutation catalogues can reveal mutational signatures but are often consistent with the mutation spectra produced by a variety of mutagens. To date, after the analysis of tens of thousands of exomes and genomes from about 40 different cancer types, tens of mutational signatures characterized by a unique probability profile across the 96 trinucleotide-based mu...


Identification of differentially expressed circulating serum microRNA for the diagnosis and prognosis of Indian non-small cell lung cancer patients.

Identification of noninvasive blood-based biomarkers is of utmost importance for the early diagnosis and predicting prognosis of advance stage lung cancer patients. MicroRNAs (miRNAs) has been implicated in numerous diseases, however, their role as diagnostic and prognostic biomarkers in Indian lung cancer patients has not been evaluated yet.

Scalable Prediction of Acute Myeloid Leukemia Using High-Dimensional Machine Learning and Blood Transcriptomics.

Acute myeloid leukemia (AML) is a severe, mostly fatal hematopoietic malignancy. We were interested in whether transcriptomic-based machine learning could predict AML status without requiring expert input. Using 12,029 samples from 105 different studies, we present a large-scale study of machine learning-based prediction of AML in which we address key questions relating to the combination of machine learning and transcriptomics and their practical use. We find data-driven, high-dimensional approaches-in whi...

Combination of Gentiana rhodantha and Gerbera anandria in the BL02 formula as therapeutics to non-small cell lung carcinoma acting via Rap1/cdc42 signaling: a Transcriptomics/ Bio-informatics biological validation approach.

Non-small cell lung cancer (NSCLC) ranks the most commonly diagnosed and highest mortality-leading cancer worldwide despite a variety of treatment strategies are available. The highly heterogeneous and aggressive property of NSCLC as well as its poor prognosis indicates the need for novel therapeutic targets identification. The objective of this study is to identify potential targets from the adjuvant herbal formula BL02 using a combined approach of high throughput transcriptomics and network pharmacology.

Transcriptomics-based screening of molecular signatures associated with patients overall survival and their key regulators in subtypes of breast cancer.

Molecular subtypes of breast cancer are associated with differences in prognosis and strategies of molecular targeted therapies. Gene regulatory mechanisms as one of the reasons might modulate these differences. In the present study, we proposed a comprehensive data analysis and systems biology approach to explore molecular signatures which reduce the chance of patients overall survival and the possible mechanisms of their regulation by transcription factors (TFs) and microRNAs (miRNAs) in the main subtyp...

Experimental Delineation of Mutational Signatures Is an Essential Tool in Cancer Epidemiology and Prevention.

Advances in experimental modeling of the mutational signatures of environmental exposures and endogenous mutagenic processes will elucidate the role of mutagenesis in cancer, facilitate carcinogen classification, and enable new molecular cancer epidemiology studies.

Temporal and spatial trends and determinants of aggressive prostate cancer among Black and White men with prostate cancer.

Few studies have reported temporal and spatial trends of aggressive prostate cancer (PC) among black men who are known to have more aggressive disease. We examined these trends for highly aggressive PC at diagnosis among black and white men in Pennsylvania (PA).

Concise whole blood transcriptional signatures for incipient tuberculosis: a systematic review and patient-level pooled meta-analysis.

Multiple blood transcriptional signatures have been proposed for identification of active and incipient tuberculosis. We aimed to compare the performance of systematically identified candidate signatures for incipient tuberculosis and to benchmark these against WHO targets.

Diagnosis and Treatment of Breast Cancer in Men.

Breast cancer occurs in about 1% of men, but the number of men receiving a diagnosis is increasing. Data on male breast cancer (MBC) is limited, and treatment for men is based primarily on treatments used for women. However, some argue that breast cancer in men is a different disease than breast cancer in women. Multiple risk factors, including those with genetic and environmental origins, affect the likelihood of men receiving a breast cancer diagnosis. This article discusses types of MBC, risk factors, tr...

Identification of a 7-microRNA signature in plasma as promising biomarker for nasopharyngeal carcinoma detection.

Circulating microRNAs (miRNAs) have become reliable sources of non-invasive biomarkers for cancer diagnosis. Identification of promising miRNA biomarkers in plasma might benefit a lot to the detection of nasopharyngeal carcinoma (NPC).

Team Combat Identification: Effects of Gender, Spatial Visualization, and Disagreement.

The combat identification (CID) abilities of same-gender and mixed-gender dyads were experimentally assessed, along with measures of spatial skills and team communication.

Somatic gene mutation signatures predict cancer type and prognosis in multiple cancers with Pan-Cancer 1000 gene panel.

Most cancers are caused by somatic mutations. Some common mutations in the same cancer type can form a "signature" to specifically predict the prognosis or to distinguish it from other cancers. In this study, 710 somatic cell mutations were identified in 142 cases, including digestive, lung and urogenital cancers, and the digestive cancers were further divided into liver, stomach, intestinal, esophageal and cardia cancer. The above mutations were located in 166 genes. In addition, a group of high-frequency ...

Impact of age at diagnosis of de novo metastatic prostate cancer on survival.

An older age at the diagnosis of prostate cancer has been linked to worse prostate cancer-specific survival (PCSS). However, these studies were conducted before the approval of many life-prolonging drugs. This study was aimed at describing outcomes in a contemporary cohort of men diagnosed with de novo metastatic prostate cancer (mPCa) and assessing associations with the age at diagnosis while controlling for known prognostic factors.

Modeling Cell-Cell Interactions from Spatial Molecular Data with Spatial Variance Component Analysis.

Technological advances enable assaying multiplexed spatially resolved RNA and protein expression profiling of individual cells, thereby capturing molecular variations in physiological contexts. While these methods are increasingly accessible, computational approaches for studying the interplay of the spatial structure of tissues and cell-cell heterogeneity are only beginning to emerge. Here, we present spatial variance component analysis (SVCA), a computational framework for the analysis of spatial molecula...

Diabetes care management patterns before and after a cancer diagnosis: A SEER-Medicare matched cohort study.

Diabetes places patients with cancer at an increased risk of infections, hospitalizations, and mortality. The objective of the current study was to characterize diabetes care management patterns among patients with cancer in the year before and, separately, after cancer diagnosis. The authors hypothesized that diabetes care declines after a diagnosis of cancer.

The Eleventh ENBDC Workshop: Advances in Technology Help to Unveil Mechanisms of Mammary Gland Development and Cancerogenesis.

The eleventh annual workshop of the European Network for Breast Development and Cancer, Methods in mammary gland biology and breast cancer, took place on the 16th to 18th of May 2019 in Weggis, Switzerland. The main topics of the meeting were high resolution genomics and proteomics for the study of mammary gland development and cancer, breast cancer signaling, tumor microenvironment, preclinical models of breast cancer, and tissue morphogenesis. Exciting novel findings in, or highly relevant to, mammary gla...

Spatial distribution of breast cancer in Sudan 2010-2016.

Breast cancer is the most prevalent cancer among females worldwide including Sudan. The aim of this study was to determine the spatial distribution of breast cancer in Sudan.

Novel therapeutic interventions in cancer treatment using protein and peptide-based targeted smart systems.

Cancer, being the most prevalent and resistant disease afflicting any gender, age or social status, is the ultimate challenge for the scientific community. The new generation therapeutics for cancer management has shifted the approach to personalized/precision medicine, making use of patient- and tumor-specific markers for specifying the targeted therapies for each patient. Peptides targeting these cancer-specific signatures hold enormous potential for cancer therapy and diagnosis. The rapid advancements in...

Gene signatures of tumor inflammation and epithelial-to-mesenchymal transition (EMT) predict responses to immune checkpoint blockade in lung cancer with high accuracy.

Treatment of non-small cell lung cancer (NSCLC) with immune checkpoint blockade (ICB) has resulted in striking clinical responses, but only in a subset of patients. The goal of this study was to evaluate transcriptional signatures previously reported in the literature in an independent cohort of NSCLC patients receiving ICB.

Prognostic implications of autophagy-associated gene signatures in non-small cell lung cancer.

Autophagy, a highly conserved cellular proteolysis process, has been involved in non-small cell lung cancer (NSCLC). We tried to develop a prognostic prediction model for NSCLC patients based on the expression profiles of autophagy-associated genes. Univariate Cox regression analysis was used to determine autophagy-associated genes significantly correlated with overall survival (OS) of the TCGA lung cancer cohort. LASSO regression was performed to build multiple-gene prognostic signatures. We found that the...

Identification of tumor-associated antigens with diagnostic ability of colorectal cancer by in-depth immunomic and seroproteomic analysis.

Colorectal cancer (CRC) is the third most common cancer and the second leading cause of cancer related death worldwide. Its diagnosis at early stages would significantly improve the survival of CRC patients. The humoral immune response has been demonstrated useful for cancer diagnosis, predating clinical symptoms up to 3 years. Here, we employed an in-depth seroproteomic approach to identify proteins that elicit a humoral immune response in CRC patients. The seroproteomic approach relied on the immunoprec...

The functions and targets of miR-212 as a potential biomarker of cancer diagnosis and therapy.

Cancer is a major health problem worldwide. An increasing number of researchers are studying the diagnosis, therapy and mechanisms underlying the development and progression of cancer. The study of noncoding RNA has attracted a lot of attention in recent years. It was found that frequent alterations of miRNA expression not only have various functions in cancer but also that miRNAs can act as clinical markers of diagnosis, stage and progression of cancer. MiR-212 is an important example of miRNAs involved in...

Spatial-Temporal Cluster Analysis of Childhood Cancer in California.

The observance of non-random space-time groupings of childhood cancer has been a concern of health professionals and the general public for decades. Many childhood cancers are suspected to have initiated in utero; therefore, we examined the spatial-temporal randomness of the birthplace of children who later developed cancer.


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