José
Díaz Arias
Instituto de Investigación Sanitaria de Santiago de Compostela
Santiago de Compostela, EspañaPublications in collaboration with researchers from Instituto de Investigación Sanitaria de Santiago de Compostela (13)
2023
2022
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Prognostic Stratification of Diffuse Large B-cell Lymphoma Using Clinico-genomic Models: Validation and Improvement of the LymForest-25 Model
HemaSphere, Vol. 6, Núm. 4
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Prognostic Stratification of Multiple Myeloma Using Clinicogenomic Models: Validation and Performance Analysis of the IAC-50 Model
HemaSphere, Vol. 6, Núm. 8
2021
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Detection of new drivers of frequent B-cell lymphoid neoplasms using an integrated analysis of whole genomes
PloS one, Vol. 16, Núm. 5, pp. e0248886
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Gene expression profiling identifies FLT3 mutation-like cases in wild-type FLT3 acute myeloid leukemia
PloS one, Vol. 16, Núm. 2, pp. e0247093
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Personally Tailored Survival Prediction of Patients With Follicular Lymphoma Using Machine Learning Transcriptome-Based Models
Frontiers in Oncology, Vol. 11
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Survival prediction and treatment optimization of multiple myeloma patients using machine-learning models based on clinical and gene expression data
Leukemia, Vol. 35, Núm. 10, pp. 2924-2935
2020
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FLT3 inhibitors in the treatment of acute myeloid leukemia: Current status and future perspectives
Minerva Medica, Vol. 111, Núm. 5, pp. 427-442
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Improved personalized survival prediction of patients with diffuse large B-cell Lymphoma using gene expression profiling
BMC Cancer, Vol. 20, Núm. 1
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Novel Mutation Hotspots within Non-Coding Regulatory Regions of the Chronic Lymphocytic Leukemia Genome
Scientific Reports, Vol. 10, Núm. 1
2019
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A Three-Gene Expression Signature Identifies a Cluster of Patients with Short Survival in Chronic Lymphocytic Leukemia
Journal of Oncology, Vol. 2019
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Identification of new putative driver mutations and predictors of disease evolution in chronic lymphocytic leukemia
Blood cancer journal
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New Recurrent Structural Aberrations in the Genome of Chronic Lymphocytic Leukemia Based on Exome-Sequencing Data
Frontiers in Genetics, Vol. 10