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New screening tool could improve the survival rate of patients with hepatocellular carcinoma from 20% to 90%

A new machine-learning model using serum fusion-gene levels predicts HCC with an accuracy of 83-91%, significantly improving upon current biomarkers like serum alpha-fetal protein. This breakthrough tool may help identify patients at risk and monitor cancer recurrence, leading to improved survival rates.

SourceElsevier·JournalAmerican Journal Of Pathology·TypeComputational simulation/modeling·DateJun 17, 2024

NTRK gene fusion in papillary thyroid cancer: A clinicogenomic biobank and record linkage study from Finland

Researchers identified NTRK gene fusion in 1.5% of Finnish papillary thyroid cancer patients, with notable co-occurring genetic alterations and favorable treatment outcomes. The study highlights the potential for biobank samples linked to electronic health records to describe patient characteristics and outcomes.

SourceImpact Journals LLC·JournalOncotarget·TypeObservational study·DateFeb 19, 2024

New assay identifies clinically relevant gene fusions in pediatric tumors more accurately and efficiently

Researchers developed a novel assay that integrates data from four fusion callers to identify disease-related gene fusions in pediatric tumors with high accuracy and efficiency. The new bioinformatics platform detected fusions, prioritized them, and custom curated downstream processes for consensus fusion calling.

SourceElsevier·JournalJournal of Molecular Diagnostics·TypeExperimental study·DateFeb 13, 2024

Physicists improve understanding of heat and particle flow in the edge of a fusion device

Researchers have discovered a hill-like bump of electric charge at the X-point in tokamaks, which prevents plasma particles from traveling straight between upstream and downstream areas. This finding could lead to more accurate predictions about exhaust and make future large-scale facilities less vulnerable to internal damage.

SourceDOE/Princeton Plasma Physics Laboratory·JournalPhysics of Plasmas·DateApr 15, 2019

Skin cancer-causing fusion gene identified

A novel fusion gene NUP160-SLC43A3 has been identified in skin cancer cells, leading to rapid tumor progression and a significantly shorter duration between symptoms onset and hospital visit. This discovery has potential implications for new diagnostic and therapeutic approaches for angiosarcoma.

SourceKumamoto University·JournalCancer Research·DateNov 1, 2015

Fusion gene contributes to glioblastoma progression

Researchers identified a fusion between FGFR3 and TACC3 genes in human glioblastoma samples, which promoted tumor growth and progression in a mouse model. The fusion protein escaped regulation by miR-99a, indicating its potential as a prognostic marker and drug target for glioblastoma treatment.

SourceJCI Journals·JournalJournal of Clinical Investigation·DateJan 9, 2013

Not all lung cancer patients who could benefit from crizotinib are identified by FDA-approved test

A recent University of Colorado Cancer Center case study found a patient with ALK+ lung cancer who tested negative for the EML4-ALK fusion gene using the FDA-approved FISH assay, yet showed dramatic response to crizotinib. Next-gen sequencing revealed genetic shards that may have avoided detection by the test.

SourceUniversity of Colorado Anschutz Medical Campus·JournalJournal of Thoracic Oncology·DateAug 28, 2012