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PubMed Journals Articles About "Bestbion Market Sphingotec Predictive Biomarkers" RSS

05:59 EDT 30th March 2020 | BioPortfolio

Bestbion Market Sphingotec Predictive Biomarkers PubMed articles on BioPortfolio. Our PubMed references draw on over 21 million records from the medical literature. Here you can see the latest Bestbion Market Sphingotec Predictive Biomarkers articles that have been published worldwide.

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Showing "bestbion market sphingotec predictive biomarkers" PubMed Articles 1–25 of 5,500+

Emerging immune gene signatures as prognostic or predictive biomarkers in breast cancer.

Several multigene assays have been developed to predict the risk of distant recurrence and response to adjuvant therapy in early breast cancer. However, the prognostic or predictive value of current proliferation gene signature-based assays are limited to hormone receptor-positive, human epidermal growth factor receptor 2-negative (HR+/HER2-) early breast cancer. Considerable discordance between the different assays in classifying patients into risk groups has also been reported, thus raising questions abou...


Combination of host immune metabolic biomarkers for the PD-1 blockade cancer immunotherapy.

Current clinical biomarkers for the PD-1 blockade therapy are insufficient because they rely only on the tumor properties such as PD-L1 expression frequency and the amount of tumor mutation burden. Identifying reliable responsive biomarkers based on the host immunity is necessary to improve the predictive values.

Complete Blood Cell Count-Derived Inflammatory Biomarkers in Early-Stage Non-Small-Cell Lung Cancer.

Complete blood cell count (CBC)-derived inflammatory biomarkers are widely used as prognostic parameters for various malignancies, but the best predictive biomarker for early-stage non-small-cell lung cancer (NSCLC) is unclear. We retrospectively analyzed early-stage NSCLC patients to investigate predictive effects of preoperative CBC-derived inflammatory biomarkers.


When the market drives you crazy: Stock market returns and fatal car accidents.

This paper provides evidence that daily fluctuations in the stock market have important - and hitherto neglected - spillover effects on fatal car accidents. Using the universe of fatal car accidents in the United States from 1990 to 2015, we find that a one standard deviation reduction in daily stock market returns is associated with a 0.6% increase in fatal car accidents that happen after the stock market opening. A battery of falsification tests supports a causal interpretation of this finding. Our result...

Exploratory identification of predictive biomarkers in randomized trials with normal endpoints.

One of the main endeavours in present-day medicine, especially in oncological research, is to provide evidence for individual treatment decisions ("stratified medicine"). In the pursuit of optimal treatment decision rules, the identification of predictive biomarkers that modify the treatment effect is essential. Proposed methods have often been based on recursive partitioning since a wide variety of interaction patterns can be captured automatically and the results are easily interpretable. Furthermore, the...

Exploring the Clinical Impact of Predictive Biomarkers in Serous Ovarian Carcinomas.

This review aims to present a summary of the new advances in search of biomarkers that have been recently undercovered and are entering clinical trials for patients with high grade or low grade serous epithelial ovarian cancer.

Biomarkers Predictive of Exacerbations in the SPIROMICS and COPDGene Cohorts.

Chronic obstructive pulmonary disease exacerbations are associated with disease progression, higher healthcare cost, and increased mortality. Published predictors of future exacerbations include previous exacerbation, airflow obstruction, poor overall health, home oxygen use, and gastroesophageal reflux. To determine the value of adding blood biomarkers to clinical variables to predict exacerbations. Subjects from the SPIROMICS (Subpopulations and Intermediate Outcomes Measures in COPD Study) (n = 1,544...

Analysis of Predictive Biomarkers in Patients With Lung Adenocarcinoma From Southern Brazil Reveals a Distinct Profile From Other Regions of the Country.

Adenocarcinoma is the most common histologic subtype of non-small-cell lung cancer, representing 40% of all diagnoses. Several biomarkers are currently used to determine patient eligibility for targeted treatments, including analysis of molecular alterations in and , as well as programmed death-ligand 1 (PD-L1) protein expression. Epidemiologic data reporting the frequency of these biomarkers in Brazilian patients with lung adenocarcinoma (LUAD) are limited, and existing studies predominantly included pati...

LYMPHOCYTE COUNT AND PLATELET VOLUME PREDICTS POSTOPERATIVE COMPLICATIONS IN ESOPHAGECTOMY FOR CANCER: A COHORT STUDY.

Biomarkers from routine complete blood count are known predictive factors of long-term outcomes in cancer patients. The value of these biomarkers in the setting of trimodal therapy for esophageal cancer in predicting early postoperative outcomes is not studied.

Prognostic and predictive value of nuclear imaging in endocrine oncology.

In the last few years, the role and use of medical technologies in (neuro)endocrine oncology has greatly evolved allowing not only important diagnostic information but also prognostic stratification in different clinical situations. The terms "prognostic" and "predictive" are commonly used to describe the relationships between biomarkers and patients' clinical outcomes but have quite different meaning. The present work discusses the prognostic and predictive value of nuclear medicine imaging. It critically ...

Therapeutic relevance of targeted sequencing in management of patients with advanced biliary tract cancer: DNA damage repair gene mutations as a predictive biomarker.

In biliary tract cancer (BTC), standard chemotherapy has limited benefit and no molecular targeted agents have been approved. This study investigated the genetic profile of BTC to identify potential new therapeutic targets and predictive biomarkers.

The analysis of medical market in Russia in 2016-2018: main economic indices and research results.

The article presents the main indicators of development of Russian medical market in 2016-2018. The basic data concerning main activities in market of medical services and goods, key figures on patterns and trends of market of medical sphere, pricing policy, organizational forms of medical institutions is presented. The conclusions on the research oт supply and demand in medical market are made. The conclusions related to forecasting and planning of development of Russian medical market in Russia, its pers...

Discovery and validation of peptide biomarkers for discrimination of Dendrobium species by label-free proteomics and chemometrics.

The stems of Dendrobium officinale, a well-known and expensive food material and herbal medicine in Asia, has recently suffered adulterants and counterfeits by using lower-price confusing Dendrobium species such as D. devonianum or D. transparens in the herbal market. However, robust methods that could authenticate D. officinale from its confusing species effectively are still lacking, especially for the dried samples. This study committed to discover specific peptides biomarkers for the authentication of D...

Immunotherapy in head and neck cancer: The great challenge of patient selection.

The development of immune checkpoint inhibitors (ICIs) revolutionized the therapeutic landscape in head and neck cancer. However, the majority of patients present primary resistance to ICIs and do not benefit from use of these agents, highlighting the need of developing predictive biomarkers to better determine who will benefit from treatment with ICIs. Patient's related clinical characteristics, disease related features, pathological and molecular factors, as well as emerging immune predictive biomarkers c...

Distinct Biomarker Profiles and Clinical Characteristics in T1-T2 Glottic and Supraglottic Carcinomas.

In early stage laryngeal squamous cell carcinoma (LSCC) radiotherapy with curative intent is a major treatment modality. TNM classification is used to define patients eligible for radiotherapy. Studies in early stage glottic LSCC identified several predictive biomarkers associated with local control. However, we recently reported that this predictive value could not be confirmed in supraglottic LSCC.

Are Simple Magnetic Resonance Imaging Biomarkers Predictive of Neurodevelopmental Outcome at Two Years in Very Preterm Infants?

Preterm infants are at increased risk of neurodevelopmental impairment due to the vulnerability of the immature brain. Early risk stratification is necessary for predicting outcome in the period of highest neuroplasticity. Several biomarkers in magnetic resonance imaging (MRI) at term equivalent age (TEA) have therefore been suggested.

STUDY OF LIPID BIOMARKERS OF PATIENTS WITH POLYPS AND COLORECTAL CÂNCER.

Colorectal cancer (CRC) is one of the leading causes of cancer worldwide. Early diagnostic methods using serum biomarkers are required. The study of omics, most recently lipidomics, has the purpose of analyzing lipids for a better understanding of human lipidoma. The evolution of mass spectrometry methods, such as MALDI-MS technology, has enabled the detection and identification of a wide variety of lipids with great potential to open new avenues for predictive and preventive medicine.

The Use of Biomarkers in Clinical Management Guidelines: A Critical Appraisal.

In cardiovascular disease (CVD), biomarkers (i.e., "biological markers") could have multiple roles in understanding the complexity of cardiovascular (CV) pathophysiology and to offer an integrated approach to management. Biomarkers could help in daily practice as a diagnostic tool, to monitor therapy response, to assess prognosis and as early marker of CV damage, or to stratify risk. In recent years, the role of biomarkers in CVD is even more relevant and some have recently been included in clinical managem...

Homologous recombination in lung cancer, germline and somatic mutations, clinical and phenotype characterization.

Identifying new predictive biomarkers in lung cancer that will prolong survival for additional subgroups of patients is of utmost importance. We report response to treatment and survival among homologous recombination deficient (HRD) lung cancer patients mostly BRCA mutation carriers to better define the predictive value of HRD status among non-small cell lung cancer (NSCLC).

Neurofilament light chain plasma concentration predicts neurodegeneration and clinical progression in nondemented elderly adults.

Previous studies demonstrated that plasma neurofilament light chain (NFL) played important predictive roles in disease progression and neurodegeneration in the preclinical phase of familial Alzheimer's disease (AD). However, whether plasma NFL has the same predictive roles in sporadic AD is still unclear. In this study, 243 cognitively normal (CN) participants from the ADNI database were divided into two subgroups (CN- and CN+) according to CSF Aβ or AV45-PET. Associations of baseline plasma NFL concentrat...

Addressing Heterogeneity in Als Clinical Trials.

Amyotrophic lateral sclerosis (ALS) is a debilitating neurodegenerative disorder, with complex biology and significant clinical heterogeneity. Many preclinical and early phase ALS clinical trials have yielded promising results that could not be replicated in larger Phase 3 confirmatory trials. One reason for the lack of reproducibility may be ALS biological and clinical heterogeneity. Therefore, in this review, we explored sources of ALS heterogeneity that may reduce statistical power to evaluate efficacy i...

Circulating biomarkers predictive of tumor response to cancer immunotherapy.

: The advent of checkpoint blockade immunotherapy has revolutionized cancer treatment. Over seven immunotherapy drugs have already been FDA approved with multiple indications, and countless more are being investigated in ongoing clinical trials. However, clinical response to immunotherapies is highly heterogeneous among individual patients and between cancer types. This represents a challenge to oncologists when choosing specific immunotherapies for personalized medicine. As a result, the abilities to predi...

New avenues in pancreatic cancer: exploiting microRNAs as predictive biomarkers and new approaches to target aberrant metabolism.

. Most pancreatic cancer patients are diagnosed at advanced-stages and first-line regimens (FOLFIRINOX and gemcitabine/nab-paclitaxel) provide limited survival advantage and are associated with considerable toxicities. In this grim scenario, novel treatments and biomarkers are warranted.. MicroRNAs (miRNAs) emerged as biomarkers for cancer prognosis and chemoresistance and blood-based miRNAs are being evaluated as indicators of therapeutic activity. Moreover, aberrant metabolism, such as aerobic glycolysis,...

Stock Market Prediction Using Optimized Deep-ConvLSTM Model.

Stock market prediction acts as a challenging area for the investors for obtaining the profits in the financial markets. A greater number of models used in stock market forecasting is not capable of providing an accurate prediction. This article proposes a stock market prediction system that effectively predicts the state of the stock market. The deep convolutional long short-term memory (Deep-ConvLSTM) model acts as the prediction module, which is trained by using the proposed Rider-based monarch butterfly...

Preliminary clinical trial to explore predictive biomarkers of response to sublingual immunotherapy for Japanese cedar pollinosis.

As part of the planning for a future multicenter study, this preliminary clinical trial was performed to explore candidate biomarkers useful for predicting the therapeutic effects of sublingual immunotherapy (SLIT) for Japanese cedar pollinosis (JCP) using serum samples from patients.


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