Category Ranking

98%

Total Visits

921

Avg Visit Duration

2 minutes

Citations

20

Article Abstract

By way of a Next-Generation Sequencing NGS high throughput approach, we defined the mutational profile in a cohort of 221 normal karyotype acute myeloid leukemia (NK-AML) enrolled into a prospective randomized clinical trial, designed to evaluate an intensified chemotherapy program for remission induction. , and -ITD were the most frequently mutated genes while , , , , and mutations were more common in the mutated patients ( < 0.05). R132H mutation was strictly associated with mutation and mutually exclusive with and . In the whole cohort of NK-AML, no matter the induction chemotherapy used, by multivariate analysis, the achievement of complete remission was negatively affected by the mutation. Alterations of (ITD) and were associated with a worse overall and disease-free survival ( < 0.05). ITD positive patients who proceeded to alloHSCT had a survival probability similar to ITD negative patients and the transplant outcome was no different when comparing high and low-AR--ITD subgroups in terms of both OS and DFS. In conclusion, a comprehensive molecular profile for NK-AML allows for the identification of genetic lesions associated to different clinical outcomes and the selection of the most appropriate and effective treatment strategies, including stem cell transplantation and targeted therapies.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7464263PMC
http://dx.doi.org/10.3390/cancers12082242DOI Listing

Publication Analysis

Top Keywords

high throughput
8
normal karyotype
8
karyotype acute
8
acute myeloid
8
myeloid leukemia
8
throughput molecular
4
molecular characterization
4
characterization normal
4
leukemia context
4
context prospective
4

Similar Publications

Background: Recent advances in high-throughput sequencing technologies have enabled the collection and sharing of a massive amount of omics data, along with its associated metadata-descriptive information that contextualizes the data, including phenotypic traits and experimental design. Enhancing metadata availability is critical to ensure data reusability and reproducibility and to facilitate novel biomedical discoveries through effective data reuse. Yet, incomplete metadata accompanying public omics data may hinder reproducibility and reusability and limit secondary analyses.

View Article and Find Full Text PDF

With approximately 90% of industrial reactions occurring on surfaces, the role of heterogeneous catalysts is paramount. Currently, accurate surface exposure prediction is vital for heterogeneous catalyst design, but it is hindered by the high costs of experimental and computational methods. Here we introduce a foundation force-field-based model for predicting surface exposure and synthesizability (SurFF) across intermetallic crystals, which are essential materials for heterogeneous catalysts.

View Article and Find Full Text PDF

Reactive oxygen species (ROS) are responsible for the oxidative truncation of polyunsaturated fatty acids (PUFAs). The products of these reactions have been implicated in many diseases such as cancer and atherosclerosis. As increasing attention is directed toward these oxidized phospholipids (oxPLs), higher throughput methods are needed to examine interactions between oxPLs and scavenger receptors in the immune system.

View Article and Find Full Text PDF

Single-cell surface-enhanced Raman scattering (SERS) has emerged as a powerful tool for precision medicine owing to its label-free detection, ultrasensitivity, and unique molecular fingerprinting. Unlike conventional bulk analysis, it enables detailed characterization of cellular heterogeneity, with particular promise in circulating tumor cell (CTC) identification, tumor microenvironment (TME) metabolic profiling, subcellular imaging, and drug sensitivity assessment. Coupled with microfluidic droplet systems, SERS supports high-throughput single-cell analysis and multiparametric screening, while integration with complementary modalities such as fluorescence microscopy and mass spectrometry enhances temporal and spatial resolution for monitoring live cells.

View Article and Find Full Text PDF

High-throughput phytoplankton monitoring and screening of harmful and bloom-forming algae in coastal waters with updated functional screening database.

Mar Pollut Bull

September 2025

Department of Science and Environmental Studies, The Education University of Hong Kong, New Territories, Hong Kong; State Key Laboratory of Marine Environmental Health, City University of Hong Kong, Kowloon, Hong Kong. Electronic address:

Climate change and anthropogenic pressures alter phytoplankton phenology, distribution, and bloom frequency. Healthy phytoplankton communities are crucial for biogeochemical processes, blue carbon sequestration, and climate change mitigation. By employing high-throughput 18S V4 rRNA metabarcoding, we addressed the need for profiling phytoplankton community and response mechanisms in urbanized coastal ecosystems.

View Article and Find Full Text PDF