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1.
Am J Hematol ; 98(6): E134-E138, 2023 06.
Artículo en Inglés | MEDLINE | ID: mdl-36882876

RESUMEN

(A) Correlation matrix of unsupervised co-regulated genes, based on the 208 genes included in the NanoString platform. Some of the clusters of co-regulated genes corresponded to the following: Inflammatory cells; Epstein-Barr virus; B-cells; Cytotoxic T-cells; T-cells; and Proliferation. (B) Analysis of genomic alterations by targeted sequencing. Distribution of mutations in the 62 analyzed genes. Rows correspond to sequenced genes, columns represent individual patients. Color coding: green, missense; blue, synonymous; pink, frameshift; violet, Indel; red, stop gained; yellow, UTR.


Asunto(s)
Infecciones por Virus de Epstein-Barr , Linfoma Extranodal de Células NK-T , Humanos , Herpesvirus Humano 4/genética , Infecciones por Virus de Epstein-Barr/complicaciones , Infecciones por Virus de Epstein-Barr/genética , Infecciones por Virus de Epstein-Barr/patología , Linfoma Extranodal de Células NK-T/terapia , Mutación , Células Asesinas Naturales/patología
2.
Clin Case Rep ; 8(7): 1269-1273, 2020 Jul.
Artículo en Inglés | MEDLINE | ID: mdl-32695373

RESUMEN

Only proven pathogenic mutations associated with myeloid neoplasms are key to establish the clonal nature of the bone marrow fibrosis. In cases with genetic variants of uncertain meaning, the clinical picture may be required to rule out secondary causes.

4.
Clin Case Rep ; 7(7): 1395-1398, 2019 Jul.
Artículo en Inglés | MEDLINE | ID: mdl-31360496

RESUMEN

We report a de novo aleukemic form of MCL with a complex monosomic karyotype with LOH for multiple chromosomes and TP53 mutation. Additionally, whereas D816V KIT was not found, the c-Kit transmembrane domain p.M541L variant was detected which is the most common SNP of KIT gene in humans with controversial pathogenic role. In these cases, it is crucial to perform a rapid broad molecular study for an accurate diagnosis which could help to initiate targeted therapy.

5.
Br J Haematol ; 182(4): 534-541, 2018 08.
Artículo en Inglés | MEDLINE | ID: mdl-29978453

RESUMEN

The Grupo Español de Linfomas y Trasplantes de Médula Ósea International Prognostic Index (GELTAMO-IPI) stratifies four risk groups in diffuse large B cell lymphoma (DLBCL) patients treated with immunochaemotherapy: low (LR), low-intermediate (LIR), high-intermediate (HIR), and high (HR). The present study explores the effect of GELTAMO-IPI in the DLBCL subtypes defined by the immunohistochaemistry-based Hans algorithm, Germinal Centre B (GCB) and non-GCB. A multivariate Cox regression model including GELTAMO-IPI risk groups, cell of origin (COO) subtypes and their product was developed to evaluate interaction between the two variables. The COO subtype was available in 839 patients (380 GCB; 459 non-GCB) and both the GELTAMO-IPI and the COO subtype in 780 (353 GCB; 427 non-GCB). There were no differences in 5-year overall survival (OS) between the two subtypes. The Cox model revealed interaction between the GELTAMO-IPI risk groups and the COO subtypes (P = 0·005), indicating that GELTAMO-IPI has a different effect in the two subtypes. Three risk groups were stratified in both COO subtypes: in the GCB subtype, LR, LIR and the combined HIR+HR had 5-year OS of 100%, 75% and 52%, respectively. In the non-GCB subtype, LR, the combined LIR+HIR and HR had a 5-year OS of, 97%, 82% and 35% respectively. GELTAMO-IPI identifies a genuine poor outcome group of patients in the DLBCL non-GCB subtype.


Asunto(s)
Algoritmos , Centro Germinal , Linfoma de Células B Grandes Difuso , Adulto , Anciano , Protocolos de Quimioterapia Combinada Antineoplásica/administración & dosificación , Supervivencia sin Enfermedad , Femenino , Centro Germinal/metabolismo , Centro Germinal/patología , Humanos , Inmunoterapia , Linfoma de Células B Grandes Difuso/metabolismo , Linfoma de Células B Grandes Difuso/mortalidad , Linfoma de Células B Grandes Difuso/patología , Linfoma de Células B Grandes Difuso/terapia , Masculino , Persona de Mediana Edad , Pronóstico , Medición de Riesgo , Factores de Riesgo , Tasa de Supervivencia
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