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PubMed Journals Articles About "Sequencing Reveals KCNQ1OT1as Predictive Biomarkers Clinical Outcome Stage" RSS

04:39 EDT 22nd May 2019 | BioPortfolio

Sequencing Reveals KCNQ1OT1as Predictive Biomarkers Clinical Outcome Stage PubMed articles on BioPortfolio. Our PubMed references draw on over 21 million records from the medical literature. Here you can see the latest Sequencing Reveals KCNQ1OT1as Predictive Biomarkers Clinical Outcome Stage articles that have been published worldwide.

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Showing "sequencing reveals KCNQ1OT1as predictive biomarkers clinical outcome stage" PubMed Articles 1–25 of 41,000+

RNA sequencing reveals PNN and KCNQ1OT1as predictive biomarkers of clinical outcome in stage III colorectal cancer patients treated with adjuvant chemotherapy.

5-year overall survival of stage III colorectal cancer (CRC) patients treated with standard adjuvant chemotherapy (ACHT) is highly variable. Genomic biomarkers and/or transcriptomic profiles identified lack of adequate validation. Aim of this study was to identify and validate molecular biomarkers predictive of ACHT response in stage III CRC patients by a transcriptomic approach. From a series of CRC patients who received ACHT, two stage III extreme cohorts (unfavorable vs favorable prognosis) were selected...


The prognostic and predictive impact of inflammatory biomarkers in patients who have advanced-stage cancer treated with immunotherapy.

Optimal prognostic and predictive biomarkers for patients with advanced-stage cancer patients who received immunotherapy (IO) are lacking. Inflammatory markers, such as the neutrophil-to-lymphocyte ratio (NLR), the monocyte-to-lymphocyte ratio (MLR), and the platelet-to-lymphocyte ratio (PLR), are readily available. The authors investigated the association between these markers and clinical outcomes of patients with advanced-stage cancer who received IO.

Predictive and therapeutic biomarkers in chimeric antigen receptor T-cell therapy: A clinical perspective.

The adoptive transfer of genetically engineered T cells modified to express a chimeric antigen receptor (CAR) has shown remarkable activity and induces long-term remissions in patients with advanced hematologic malignancies. To date, little is known about predictive indicators of therapeutic efficacy or serious toxicity after CAR T-cell therapy in clinical practice. Biomarkers are not only potentially able to inform physicians and researchers of immunotherapy targets in particular but could also be used to ...


Tumor-based gene expression biomarkers to predict survival following curative intent resection for stage I lung adenocarcinoma.

Prognostic biomarkers are needed in clinical setting to predict outcome after resection for early-stage lung adenocarcinoma. The goal of this study is to validate tumor-based single-gene expression biomarkers with demonstrated prognostic value in order to move them along the clinical translation pipeline.

A Genomic Analysis Workflow for Colorectal Cancer Precision Oncology.

The diagnosis of colorectal cancer (CRC) is routinely accomplished through histopathologic examination. Prognostic information and treatment decisions are mainly determined by TNM classification, first defined in 1968. In the last decade, patient-specific CRC genomic landscapes were shown to provide important prognostic and predictive information. Therefore, there is a need for developing next generation sequencing (NGS) and bioinformatic workflows that can be routinely used for the assessment of prognostic...

Diagnostic value of cerebro-spinal fluid biomarkers in dementia with lewy bodies.

Dementia with Lewy Bodies (DLB) is the second most common form of dementia after Alzheimer's disease (AD), accounting for 15% to 20% of neuropathologically defined cases. Two-thirds of the patients affected are not or misdiagnosed because of the clinical similarity of these two pathologies. In this review, we evaluate the discriminatory power of cerebrospinal fluid (CSF) biomarkers by focusing more specifically on differential diagnosis between DLB and AD. We focus on the AD biological biomarkers used in cl...

Classic Markers for Infection Perform Poorly in Predicting Residual Infection Prior to Reimplantation.

Two-stage exchange arthroplasty remains the treatment of choice for chronic periprosthetic joint infections. This retrospective study conducted between 2009 and 2015 examined the diagnostic value of biomarkers for residual infection between stages. The biomarkers evaluated included C-reactive protein prior to reimplantation, preimplantation synovial fluid white blood cell count and percent neutrophils, and the intraoperative histologic synovial white blood cell count per high-power field (×400) on permanen...

Consensus Statement on Circulating Biomarkers for Advanced Prostate Cancer.

In advanced prostate cancer (PC), there is increasing investigation of circulating biomarkers, including quantitation and characterization of circulating tumour cells and cell-free nucleic acids, for therapeutic monitoring and as prognostic and predictive biomarkers. However, there is a lack of consensus and standardisation regarding analyses, reporting, and integration of results into specific clinical contexts. A consensus meeting on circulating biomarkers was held to address these topics.

Biomarkers and risk factors for sepsis in stage 5 chronic kidney disease: a retrospective case-control study.

To assess the predictive value of procalcitonin (PCT) in the risk of sepsis in patients with stage 5 chronic kidney disease (CKD).

A biomimetic lipid membrane device reveals the interaction of cancer biomarkers with human serum lipidic moieties.

A major problem for the detection of cancer biomarkers in plasma or serum is that common clinical practice does not require the patient to be in a fasting state. Considering that lipoproteins are the main population affected by food intake, we hypothesized that biomarkers could be embedded in lipid particles and thereby opens a new avenue for detection.

Pilot study: placental biomarker predictive capability (sFlt-1, PlGF and their ratio) of postpartum maternal outcome.

Prenatal measurement of placental biomarkers was able to improve screening and diagnosis of preeclampsia. Little is known about the clinical role of placental biomarkers in the postpartum period.

Stromal organization as predictive biomarker for the treatment of colon cancer with adjuvant bevacizumab; a post-hoc analysis of the AVANT trial.

Intra-tumoral stroma has become increasingly important in understanding tumor biology, tumor progression and clinical outcome. The amount itself, quantified as the tumor-stroma ratio (TSR), has proven to be prognostic in stage I-III colon cancer. Also, alterations in stromal organization have been found to provide prognostic and predictive information in certain cancers. Here, we evaluated the predictive value of stromal organization in high-risk stage II and III colon cancer with respect to adjuvant bevaci...

PanelomiX for the Combination of Biomarkers.

Proteomics has allowed the discovery and validation of a massive number of biomarkers. However most of them suffer from insufficient specificity and sensitivity and therefore didn't translate to clinical practice. Combining biomarkers with different properties into panels can be an efficient way to bypass these limitations and facilitate the translation of biomarkers into clinical practice.

Immune Biomarkers of Response to Immune-Checkpoint Inhibitors in Head and Neck Squamous Cell Carcinoma.

Anti-PD-1 agents have become the standard of care for platinum-refractory recurrent/metastatic head and neck squamous cell carcinoma and are currently being evaluated in various disease settings. However, despite the gain in overall survival seen in some of the clinical trials, the majority of patients display primary resistance and do not benefit from these agents. Taking into consideration the potentially severe immune-related toxicities and their high cost, the search for predictive biomarkers of respons...

Neuroendocrine neoplasms: current and potential diagnostic, predictive and prognostic markers.

Some biomarkers for functioning and non-functioning neuroendocrine neoplasms (NENs) are currently available. Despite their application in clinical practice, results should be interpreted cautiously. Considering the variable sensitivity and specificity of these parameters there is an unmet need for novel biomarkers to improve diagnosis and predict patient outcome. Nowadays, several new biomarkers are being evaluated and may become future tools for the management of NENs. These biomarkers include: (1) peptide...

The discovery of novel predictive biomarkers and early-stage pathophysiology for the transition from gestational diabetes to type 2 diabetes.

Gestational diabetes mellitus (GDM) affects up to 20% of pregnancies, and almost half of the women affected progress to type 2 diabetes later in life, making GDM the most significant risk factor for the development of future type 2 diabetes. An accurate prediction of future type 2 diabetes risk in the early postpartum period after GDM would allow for timely interventions to prevent or delay type 2 diabetes. In addition, new targets for interventions may be revealed by understanding the underlying pathophysi...

Extracellular microvesicle microRNAs as predictive biomarkers for targeted therapy in metastastic cutaneous malignant melanoma.

Mitogen activated-protein kinase pathway inhibitors (MAPKis) improve treatment outcome in patients with disseminated BRAFV600 mutant cutaneous malignant melanoma (CMM) but responses are of limited duration due to emerging resistance. Although extensive research in mechanisms of resistance is being performed, predictive biomarkers for durable responses are still lacking. We used miRNA qPCR to investigate if different levels of extracellular microvesicle microRNA (EV miRNA) in matched plasma samples collected...

Peripheral Lymphocyte Multidrug Resistance Activity as a Predictive Tool of Biological Therapeutic Response in Rheumatoid Arthritis.

Multidrug resistance (MDR) transporters may be used as biomarkers to monitor disease progression in RA and as a predictive tool to establish responsiveness to biological therapy. In this multicenter clinical trial, we aimed to assess the predictive value of MDR1, MRP1 and BCRP activity measurement for biological therapeutic response in RA before as well as 4 to 6 and 12 weeks after the initiation of biological therapy.

Fluid and imaging biomarkers for Huntington's disease.

Huntington's disease is a chronic progressive neurodegenerative condition for which there is no disease-modifying treatment. The known genetic cause of Huntington's disease makes it possible to identify individuals destined to develop the disease and instigate treatments before the onset of symptoms. Multiple trials are already underway that target the cause of HD, yet clinical measures are often insensitive to change over typical clinical trial duration. Robust biomarkers of drug target engagement, disease...

Precision diagnostics based on machine learning-derived imaging signatures.

The complexity of modern multi-parametric MRI has increasingly challenged conventional interpretations of such images. Machine learning has emerged as a powerful approach to integrating diverse and complex imaging data into signatures of diagnostic and predictive value. It has also allowed us to progress from group comparisons to imaging biomarkers that offer value on an individual basis. We review several directions of research around this topic, emphasizing the use of machine learning in personalized pred...

Exosomes in tuberculosis: Still terra incognita?

Today, diagnosis, vaccination, and treatment of tuberculosis (TB) remain major clinical challenges. Therefore, an introduction of new diagnostic measures and biomarkers is necessary to improve infection control. The ideal biomarker for TB infection can be defined as a host or pathogen-derived biomolecule, which is potent for identifying infection and determining its clinical stage. Exosomes, defined as cell-derived nanovesicles released into biological fluids, are involved in cell-cell communication and imm...

Clinical and morphological comparisons of idiopathic macular holes between stage 3 and stage 4.

To compare clinical and morphological differences in idiopathic macular holes (IMHs) between stage 3 and stage 4.

Re-testing of predictive biomarkers on surgical breast cancer specimens is clinically relevant.

The accuracy of predictive and prognostic biomarker assessment in breast cancer is paramount since these guide therapy decisions. The aim was to investigate the concordance of biomarkers and immunohistochemical (IHC)-based surrogate tumor subtypes between core needle biopsies (CNB) and consecutive paired breast cancer surgical resections.

Invited review-next-generation sequencing: a modern tool in cytopathology.

In recent years, cytopathology has established itself as an independent diagnostic modality to guide clinical management in many different settings. The application of molecular techniques to cytological samples to identify prognostic and predictive biomarkers has played a crucial role in achieving this goal. While earlier studies have demonstrated that single biomarker testing is feasible on cytological samples, currently, this provides only limited and increasingly insufficient information in an era where...

Evaluation of PD-L1 biomarker for immune checkpoint inhibitor (PD-1/PD-L1 inhibitors) treatments for urothelial carcinoma patients: A meta-analysis.

Newly published results of clinical trials has demonstrated immune checkpoint inhibitors as robust antitumor agents for urothelial carcinoma patients. However, searching for predictive biomarkers is still on the way. Previous clinical trials used PD-L1 as biomarkers, however, whether it can predict the objective response rate and overall survival is controversial. This is the first and latest study to pool the newest data in order the evaluate PD-L1 biomarker.


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