Results 71 to 80 of about 187,404 (263)

Assessment of Circulating MicroRNAs for the Diagnosis and Disease Activity Evaluation in Patients with Ulcerative Colitis by Using the Nanostring Technology [PDF]

open access: yes, 2015
Background: Clinical decision and patient care management in inflammatory bowel diseases is largely based on the assessment of clinical symptoms, while the biomarkers currently in use poorly reflect the actual disease activity.
Alexandra Touroutoglou   +31 more
core   +1 more source

Circulating histones as clinical biomarkers in critically ill conditions

open access: yesFEBS Letters, EarlyView.
Circulating histones are emerging as promising biomarkers in critical illness due to their diagnostic, prognostic, and therapeutic potential. Detection methods such as ELISA and mass spectrometry provide reliable approaches for quantifying histone levels in plasma samples.
José Luis García‐Gimenez   +17 more
wiley   +1 more source

Development and Validation of a 9-Gene Prognostic Signature in Patients With Multiple Myeloma

open access: yesFrontiers in Oncology, 2019
Background: Multiple myeloma (MM) is one of the most common types of hematological malignance, and the prognosis of MM patients remains poor.Objective: To identify and validate a genetic prognostic signature in patients with MM.Methods: Co-expression ...
Xiao-Ping Liu   +5 more
doaj   +1 more source

The epithelial barrier theory proposes a comprehensive explanation for the origins of allergic and other chronic noncommunicable diseases

open access: yesFEBS Letters, EarlyView.
Exposure to common noxious agents (1), including allergens, pollutants, and micro‐nanoplastics, can cause epithelial barrier damage (2) in our body's protective linings. This may trigger an immune response to our microbiome (3). The epithelial barrier theory explains how this process can lead to chronic noncommunicable diseases (4) affecting organs ...
Can Zeyneloglu   +17 more
wiley   +1 more source

An eight-mRNA signature outperforms the lncRNA-based signature in predicting prognosis of patients with glioblastoma

open access: yesBMC Medical Genetics, 2020
Background The prognosis of the glioblastoma (GBM) is dismal. This study aims to select an optimal RNA signature for prognostic prediction of GBM patients. Methods For the training set, the long non-coding RNA (lncRNA) and mRNA expression profiles of 151
Zhenyu Gong   +4 more
doaj   +1 more source

Transcriptomic profiling of peroxisome-related genes reveals a novel prognostic signature in hepatocellular carcinoma

open access: yesGenes and Diseases, 2022
Emerging evidence suggests that peroxisomes play a role in the regulation of tumorigenesis and cancer progression. However, the prognostic value of peroxisome-related genes has been rarely investigated.
Liewang Qiu   +4 more
doaj   +1 more source

An immune cell infiltration-related gene signature predicts prognosis for bladder cancer

open access: yesScientific Reports, 2021
To explore novel therapeutic targets, develop a gene signature and construct a prognostic nomogram of bladder cancer (BCa). Transcriptome data and clinical traits of BCa were downloaded from UCSC Xena database and Gene Expression Omnibus (GEO) database ...
Hualin Chen   +3 more
doaj   +1 more source

Hypoxia-immune-related microenvironment prognostic signature for osteosarcoma

open access: yesFrontiers in Cell and Developmental Biology, 2022
Introduction: Increasing evidences have shown that hypoxia and the immune microenvironment play vital roles in the development of osteosarcoma. However, reliable gene signatures based on the combination of hypoxia and the immune status for prognostic ...
Wenshuo Zhang   +5 more
doaj   +1 more source

Integrative analyses of transcriptome sequencing identify novel functional lncRNAs in esophageal squamous cell carcinoma. [PDF]

open access: yes, 2017
Long non-coding RNAs (lncRNAs) have a critical role in cancer initiation and progression, and thus may mediate oncogenic or tumor suppressing effects, as well as be a new class of cancer therapeutic targets. We performed high-throughput sequencing of RNA
Ai, B   +32 more
core   +1 more source

From omics to AI—mapping the pathogenic pathways in type 2 diabetes

open access: yesFEBS Letters, EarlyView.
Integrating multi‐omics data with AI‐based modelling (unsupervised and supervised machine learning) identify optimal patient clusters, informing AI‐driven accurate risk stratification. Digital twins simulate individual trajectories in real time, guiding precision medicine by matching patients to targeted therapies.
Siobhán O'Sullivan   +2 more
wiley   +1 more source

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