Targeted hybridization-capture-based NGS assays can be a robust and reliable method for detecting 1p/19q co-deletion in gliomas. NGS methodologies provide enhanced resolution of copy number alterations but require a minimum tumor content.
Habitat+Deep Learning feature extraction methods were optimal for predicting grades and Ki67 levels. Deep Learning is optimal for predicting P53 mutation, while the combination of Habitat+ Radiomics models yielded the best prediction for IDH1 mutation.
3 months ago
Clinical • Journal
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TP53 (Tumor protein P53) • IDH1 (Isocitrate dehydrogenase (NADP(+)) 1)
Background: Venetoclax in combination with azacitidine or low-dose cytarabine has become standard treatment for newly diagnosed elderly or unfit patients with acute myeloid leukemia (AML). These real-world data suggested that incorporation of venetoclax combination therapy into existing therapies improved survival in patients with AML. The survival benefit of venetoclax combination therapy was greater in elderly patient and in de novo AML patients than secondary AML patients. Interpretation of the results must be careful because the sample size in the venetoclax group was small.