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MetabolomicsUntargeted LC-HRMS Based-Plasma Metabolomics Reveals 3-O-Methyldopa as a New Biomarker of Poor Prognosis in High-Risk Neuroblastoma
Neuroblastoma (NB) is the most common extracranial malignant tumor in children. Although the survival rate of NB has improved over the years, the outcome of NB still remains poor for over 30% of cases. A more accurate risk stratification remains a key point in the study of NB and the availability of...
2023-07-14 | MTBLS4294 | MetaboLights
MetabolomicsNMR-based metabolomics identifies patients at high risk of death within two years after acute myocardial infarction in the AMI-Florence II cohort
Risk stratification and management of acute myocardial infarction patients continue to be challenging despite considerable efforts made in the last decades by many clinicians and researchers. The aim of this study was to investigate the metabolomic fingerprint of acute myocardial infarction using nu...
2018-10-02 | MTBLS395 | MetaboLights
MetabolomicsSerum metabolomic profiles identify ER-positive early breast cancer patients at increased risk of disease recurrence in a multicentre population

PURPOSE: Detecting signals of micrometastatic disease in early breast cancer (EBC) patients could improve risk stratification and allow better tailoring of adjuvant therapies. We have previously shown that postoperative serum metabolomic profiles are predictive of relapse in a si...

2017-03-02 | MTBLS424 | MetaboLights
TranscriptomicsImpact of Gene Expression Profiling Based Risk Stratification in Patients with Myeloma Receiving Initial Therapy with Lenalidomide and Dexamethasone
Detection of specific chromosomal abnormalities by FISH and metaphase cytogenetics allows risk stratification in multiple myeloma (MM); however, gene expression profiling (GEP) based signatures may enable more specific risk categorization. We examined the utility of two GEP-based risk stratification...
ORGANISM(S): Homo sapiens 
2011-08-25 | E-GEOD-31504 | biostudies-arrayexpress
ProteomicsRisk stratification of thyroid papillary cancer based on proteomics and machine learning
Papillary thyroid cancer (PTC) is the most common type of thyroid carcinoma accounting for 85%. Most PTCs have a low risk of recurrence and metastasizing and not all low-risk PTCs need immediate surgery. However, cases are often recognized as low-risk only after surgery. Our study aimed to find a pr...
ORGANISM(S): Homo Sapiens 
2024-03-13 | PXD050577 |
ProteomicsMetabolic gene expression-based stratification and prognostic risk predictive model validation studies
Metabolic gene expression-based stratification and prognostic risk predictive model of head and neck squamous cell carcinoma.
ORGANISM(S): Homo sapiens (Human) 
2026-05-25 | PXD073947 | Pride
Human Lcmsms 
TranscriptomicsTranscriptional instability in sepsis
The temporal evolution of sepsis was monitored by transcriptional profiling of five critically ill children with meningococcal sepsis and sepsis-induced multiple organ failure. Blood was sampled at 6 time points during the first 48 hours of their admission to pediatric intensive care, where the chil...
ORGANISM(S): Homo sapiens 
2013-04-03 | E-MEXP-3850 | biostudies-arrayexpress
TranscriptomicsClassification of Myeloma Using Global MicroRNA Profiling
Myeloma is a heterogeneous disease. In this work we used global microRNA profiling to classify clinical samples from UK MRC Myeloma IX, and developed a microRNA-based M-bM-^@M-^\outcome classifierM-bM-^@M-^] for risk stratification. Global microRNA expression profiling was carried out in 163 newly d...
ORGANISM(S): Homo sapiens 
2013-07-31 | E-GEOD-41276 | biostudies-arrayexpress
ProteomicsCirculating proteomic panels for diagnosis and risk stratification of acute-on-chronic liver failure in patients with viral hepatitis B
Circulating proteomic panels for diagnosis and risk stratification of acute-on-chronic liver failure in patients with viral hepatitis B
ORGANISM(S): Homo Sapiens 
2025-11-14 | PXD070798 |
TranscriptomicsTranscription profiling of bone marrow samples of 31 children with acute lymphoblastic leukemia to identify changes in gene expression that are associated with the current risk assignment, irrespective of the genetic subtype
We analyzed bone marrow samples of 31 children with acute lymphoblastic leukemia to identify changes in gene expression that are associated with the current risk assignment, irrespective of the genetic subtype
ORGANISM(S): Homo sapiens 
2004-06-28 | E-MEXP-120 | biostudies-arrayexpress
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