Parasites in Periodontal Health and Disease: A Systematic Review and Meta-analysis.

BACKGROUND: Periodontitis is an inflammatory disease triggered by the infection of the periodontal sulcus by microbes. Together with the abundant eubacterial microbiota, at least two parasites have often been identified: the amoeba Entamoeba gingivalis and the flagellate Trichomonas tenax. The role of these protists in the pathophysiology of periodontal disease remains to be deciphered. A high diversity in their measured prevalence, mainly due to methodological concerns, prevents further analysis of the aetiological link between these parasites and periodontitis. METHODS: To determine E. gingivalis and T. tenax prevalence in periodontal pockets as compared to healthy sulci, we have conducted a systematic review, searching 3 remote databases (Pubmed, LILACS, and Google Scholar), restricting to papers in which the diagnostic of the parasite was made using molecular methods. A total of 5 studies for E. gingivalis and 2 studies for T. tenax were included for the meta-analysis. RESULTS: In the periodontal pockets, the prevalence of parasites is 76.9% (95%-CI: 71.5-81.7%) for E. gingivalis and 38.6% (95%-CI: 27.2-50.0%) for T. tenax . Both parasites are more abundant in periodontal pockets as compared to healthy sulci, with a risk ratio of 3.96 (95%-CI: 1.57-9.98) for E. gingivalis and 21.82 (95%-CI: 6.71-70.96) for T. tenax . The two subtypes of E. gingivalis exhibited the same risk ratio: 3.30 (95%-CI: 1.27-8.55) for ST1 and 3.30 (95%-CI: 0.42-26.03) for ST2, but ST1 was more prevalent (70.6%, 95%-CI: 65.0-76.2%) than ST2 (43.9%, 95%-CI: 35.5-52.4%) in periodontal pockets. CONCLUSION: Altogether, the data show that parasites are more prevalent in the diseased than in the healthy. However, the differences in prevalence between species and subtypes call for more studies to be able to conclude about their individual contributions in the pathophysiology of periodontal diseases. The heterogeneity in prevalence estimation should be investigated further, in particular to make out biological from methodological heterogeneity.

Revised International Prognostic Index and genetic alterations are associated with early failure to R-CHOP in patients with diffuse large B-cell lymphoma.

Relapsed or refractory diffuse large B-cell lymphoma (DLBCL) cases have a poor outcome. Here we analysed clinico-biological features in 373 DLBCL patients homogeneously treated with rituximab, cyclophosphamide, doxorubicin, vincristine and prednisolone (R-CHOP), in order to identify variables associated with early failure to treatment (EF), defined as primary refractoriness or relapse within 12 months from diagnosis. In addition to clinical features, mutational status of 106 genes was studied by targeted next-generation sequencing in 111 cases, copy number alterations in 87, and gene expression profile (GEP) in 39. Ninety-seven cases (26%) were identified as EF and showed significantly shorter overall survival (OS). Patients with B symptoms, advanced stage, high levels of serum lactate dehydrogenase (LDH) or ß2-microglobulin, low lymphocyte/monocyte ratio and higher Revised International Prognostic Index (R-IPI) scores, as well as those with BCL2 rearrangements more frequently showed EF, with R-IPI being the most important in logistic regression. Mutations in NOTCH2, gains in 5p15·33 (TERT), 12q13 (CDK2), 12q14·1 (CDK4) and 12q15 (MDM2) showed predictive importance for EF independently from R-IPI. GEP studies showed that EF cases were significantly enriched in sets related to cell cycle regulation and inflammatory response, while cases in response showed over-representation of gene sets related to extra-cellular matrix and tumour microenvironment.

Genomic and epigenomic insights into the origin, pathogenesis, and clinical behavior of mantle cell lymphoma subtypes.

Mantle cell lymphoma (MCL) is a mature B-cell neoplasm initially driven by CCND1 rearrangement with 2 molecular subtypes, conventional MCL (cMCL) and leukemic non-nodal MCL (nnMCL), that differ in their clinicobiological behavior. To identify the genetic and epigenetic alterations determining this diversity, we used whole-genome (n = 61) and exome (n = 21) sequencing (74% cMCL, 26% nnMCL) combined with transcriptome and DNA methylation profiles in the context of 5 MCL reference epigenomes. We identified that open and active chromatin at the major translocation cluster locus might facilitate the t(11;14)(q13;32), which modifies the 3-dimensional structure of the involved regions. This translocation is mainly acquired in precursor B cells mediated by recombination-activating genes in both MCL subtypes, whereas in 8% of cases the translocation occurs in mature B cells mediated by activation-induced cytidine deaminase. We identified novel recurrent MCL drivers, including CDKN1B, SAMHD1, BCOR, SYNE1, HNRNPH1, SMARCB1, and DAZAP1. Complex structural alterations emerge as a relevant early oncogenic mechanism in MCL, targeting key driver genes. Breakage-fusion-bridge cycles and translocations activated oncogenes (BMI1, MIR17HG, TERT, MYC, and MYCN), generating gene amplifications and remodeling regulatory regions. cMCL carried significant higher numbers of structural variants, copy number alterations, and driver changes than nnMCL, with exclusive alterations of ATM in cMCL, whereas TP53 and TERT alterations were slightly enriched in nnMCL. Several drivers had prognostic impact, but only TP53 and MYC aberrations added value independently of genomic complexity. An increasing genomic complexity, together with the presence of breakage-fusion-bridge cycles and high DNA methylation changes related to the proliferative cell history, defines patients with different clinical evolution.

Insight into genetic predisposition to chronic lymphocytic leukemia from integrative epigenomics.

Genome-wide association studies have provided evidence for inherited genetic predisposition to chronic lymphocytic leukemia (CLL). To gain insight into the mechanisms underlying CLL risk we analyze chromatin accessibility, active regulatory elements marked by H3K27ac, and DNA methylation at 42 risk loci in up to 486 primary CLLs. We identify that risk loci are significantly enriched for active chromatin in CLL with evidence of being CLL-specific or differentially regulated in normal B-cell development. We then use in situ promoter capture Hi-C, in conjunction with gene expression data to reveal likely target genes of the risk loci. Candidate target genes are enriched for pathways related to B-cell development such as MYC and BCL2 signalling. At 14 loci the analysis highlights 63 variants as the probable functional basis of CLL risk. By integrating genetic and epigenetic information our analysis reveals novel insights into the relationship between inherited predisposition and the regulatory chromatin landscape of CLL.

CCND2 and CCND3 hijack immunoglobulin light-chain enhancers in cyclin D1- mantle cell lymphoma.

Mantle cell lymphoma (MCL) is characterized by the t(11;14)(q13;q32) translocation resulting in overexpression of cyclin D1. However, a small subset of cyclin D1- MCL has been recognized, and approximately one-half of them harbor CCND2 translocations while the primary event in cyclin D1-/D2- MCL remains elusive. To identify other potential mechanisms driving MCL pathogenesis, we investigated 56 cyclin D1-/SOX11+ MCL by fluorescence in situ hybridization (FISH), whole-genome/exome sequencing, and gene-expression and copy-number arrays. FISH with break-apart probes identified CCND2 rearrangements in 39 cases (70%) but not CCND3 rearrangements. We analyzed 3 of these negative cases by whole-genome/exome sequencing and identified IGK (n = 2) and IGL (n = 1) enhancer hijackings near CCND3 that were associated with cyclin D3 overexpression. By specific FISH probes, including the IGK enhancer region, we detected 10 additional cryptic IGK juxtapositions to CCND3 (6 cases) and CCND2 (4 cases) in MCL that overexpressed, respectively, these cyclins. A minor subset of 4 cyclin D1- MCL cases lacked cyclin D rearrangements and showed upregulation of CCNE1 and CCNE2. These cases had blastoid morphology, high genomic complexity, and CDKN2A and RB1 deletions. Both genomic and gene-expression profiles of cyclin D1- MCL cases were indistinguishable from cyclin D1+ MCL. In conclusion, virtually all cyclin D1- MCLs carry CCND2/CCND3 rearrangements with immunoglobulin genes, including a novel IGK/L enhancer hijacking mechanism. A subset of cyclin D1-/D2-/D3- MCL with aggressive features has cyclin E dysregulation. Specific FISH probes may allow the molecular identification and diagnosis of cyclin D1- MCL.

A gene signature that distinguishes conventional and leukemic nonnodal mantle cell lymphoma helps predict outcome.

Mantle cell lymphoma (MCL) is an aggressive B-cell malignancy, but some patients have a very indolent evolution. This heterogeneous course is related, in part, to the different biological characteristics of conventional MCL (cMCL) and the distinct subgroup of leukemic nonnodal MCL (nnMCL). Robust criteria to distinguish these MCL subtypes and additional biological parameters that influence their evolution are not well defined. We describe a novel molecular assay that reliably distinguishes cMCL and nnMCL using blood samples. We trained a 16-gene assay (L-MCL16 assay) on the NanoString platform using 19 purified leukemic samples. The locked assay was applied to an independent cohort of 70 MCL patients with leukemic presentation. The assay assigned 37% of cases to nnMCL and 56% to cMCL. nnMCL and cMCL differed in nodal presentation, lactate dehydrogenase, immunoglobulin heavy chain gene mutational status, management options, genomic complexity, and CDKN2A/ATM deletions, but the proportion with 17p/TP53 aberrations was similar in both subgroups. Sequential samples showed that assay prediction was stable over time. nnMCL had a better overall survival (OS) than cMCL (3-year OS 92% vs 69%; P = .006) from the time of diagnosis and longer time to first treatment. Genomic complexity and TP53/CDKN2A aberrations predicted for shorter OS in the entire series and cMCL, whereas only genomic complexity was associated with shorter time to first treatment and OS in nnMCL. In conclusion, the newly developed assay robustly recognizes the 2 molecular subtypes of MCL in leukemic samples. Its combination with genetic alterations improves the prognostic evaluation and may provide useful biological information for management decisions.

The reference epigenome and regulatory chromatin landscape of chronic lymphocytic leukemia.

Chronic lymphocytic leukemia (CLL) is a frequent hematological neoplasm in which underlying epigenetic alterations are only partially understood. Here, we analyze the reference epigenome of seven primary CLLs and the regulatory chromatin landscape of 107 primary cases in the context of normal B cell differentiation. We identify that the CLL chromatin landscape is largely influenced by distinct dynamics during normal B cell maturation. Beyond this, we define extensive catalogues of regulatory elements de novo reprogrammed in CLL as a whole and in its major clinico-biological subtypes classified by IGHV somatic hypermutation levels. We uncover that IGHV-unmutated CLLs harbor more active and open chromatin than IGHV-mutated cases. Furthermore, we show that de novo active regions in CLL are enriched for NFAT, FOX and TCF/LEF transcription factor family binding sites. Although most genetic alterations are not associated with consistent epigenetic profiles, CLLs with MYD88 mutations and trisomy 12 show distinct chromatin configurations. Furthermore, we observe that non-coding mutations in IGHV-mutated CLLs are enriched in H3K27ac-associated regulatory elements outside accessible chromatin. Overall, this study provides an integrative portrait of the CLL epigenome, identifies extensive networks of altered regulatory elements and sheds light on the relationship between the genetic and epigenetic architecture of the disease.

A comprehensive flow-cytometry-based immunophenotypic characterization of Burkitt-like lymphoma with 11q aberration.

We previously described a subset of MYC translocation-negative aggressive B-cell lymphomas resembling Burkitt lymphoma, characterized by proximal gains and distal losses in chromosome 11. In the 2016 WHO classification, these MYC-negative lymphomas were recognized as a new provisional entity, 'Burkitt-like lymphoma with 11q aberration'. Here we present an immunophenotype analysis of Burkitt-like lymphomas with 11q aberration. Cells were acquired by fine needle aspiration biopsy from 10 young adult patients, 80% of whom presented recurrence-free 5-year survival. Twenty-three MYC-positive Burkitt lymphomas, including three carrying both MYC rearrangement and 11q aberration, served as controls. By immunohistochemistry, all Burkitt-like lymphomas with 11q aberration were CD20+/CD10+/BCL6+/BCL2-/MUM1-/MYC+/EBV-, usually LMO2+/CD44-/CD43- and sometimes CD56+, and showed high proliferation rate. By flow cytometry, Burkitt-like lymphoma with 11q aberration immunophenotypically resembled MYC-positive Burkitt lymphoma, except for significantly (adjusted P<0.001) more frequent CD38higher expression in Burkitt lymphoma (91% MYC-positive Burkitt lymphoma vs 10% Burkitt-like lymphoma with 11q aberration), more frequently diminished CD45 expression in Burkitt lymphoma (74% vs 10%), an exclusive CD16/CD56 and highly restricted CD8 expression in Burkitt-like lymphoma with 11q aberration (60% vs 0% and 40% vs 4%, respectively). We showed high diagnostic accuracy and effectiveness of flow cytometry in Burkitt lymphoma. CD16/CD56 expression without CD38higher and the lack of CD16/CD56 with CD38higher expression proves to be a reliable, fast, and cost-effective method for diagnosing 11q aberration and MYC rearrangements in CD10(+) aggressive lymphomas, respectively. In addition, we confirmed a pattern of an inverted duplication with telomeric loss of 11q, as a recurrent 11q abnormality, but one case presented alternative changes, possibly resulting in an equivalent molecular effect. Our findings reveal similarities along with subtle but essential differences in the immunophenotype of Burkitt-like lymphoma with 11q aberration and MYC-positive Burkitt lymphoma, important for the differential diagnosis, but also for understanding the pathogenesis of Burkitt-like lymphoma with 11q aberration.

Genome-wide association analysis implicates dysregulation of immunity genes in chronic lymphocytic leukaemia.

Several chronic lymphocytic leukaemia (CLL) susceptibility loci have been reported; however, much of the heritable risk remains unidentified. Here we perform a meta-analysis of six genome-wide association studies, imputed using a merged reference panel of 1,000 Genomes and UK10K data, totalling 6,200 cases and 17,598 controls after replication. We identify nine risk loci at 1p36.11 (rs34676223, P=5.04 × 10-13), 1q42.13 (rs41271473, P=1.06 × 10-10), 4q24 (rs71597109, P=1.37 × 10-10), 4q35.1 (rs57214277, P=3.69 × 10-8), 6p21.31 (rs3800461, P=1.97 × 10-8), 11q23.2 (rs61904987, P=2.64 × 10-11), 18q21.1 (rs1036935, P=3.27 × 10-8), 19p13.3 (rs7254272, P=4.67 × 10-8) and 22q13.33 (rs140522, P=2.70 × 10-9). These new and established risk loci map to areas of active chromatin and show an over-representation of transcription factor binding for the key determinants of B-cell development and immune response.

Clinicopathological characteristics and genomic profile of primary sinonasal tract diffuse large B cell lymphoma (DLBCL) reveals gain at 1q31 and RGS1 encoding protein; high RGS1 immunohistochemical expression associates with poor overall survival in DLBCL not otherwise specified (NOS).

AIMS: We aimed to define the clinicopathological characteristics of 29 primary sinonasal diffuse large B cell lymphoma (DLBCLsn ) in a series of 240 cases of DLBCL not otherwise specified [DLBCLall (NOS) ], including DLBCLsn training set (n = 11) and validation set (n = 18), and DLBCLnon-sn (n = 211). METHODS AND RESULTS: In the training set, 82% had a non-germinal center B-cell-like (Hans' Classifier) (non-GCB) phenotype and 18% were Epstein-Barr virus-encoded small RNAs (EBER)+ . The genomic profile showed gains(+) of 1q21.3q31.2 (55%), 10q24.1 (46%), 11q14.1 (46%) and 18q12.1q23 (46%); losses(-) of 6q26q27 (55%) and 9p21.3 (64%); and copy number neutral loss of heterozygosity (LOH) (acquired uniparental disomy, UPD) at 6p25.3p21.31 (36%). This profile is comparable to DLBCLNOS (GSE11318, n = 203.) and closer to non-GCB/activated B-cell-like subtype (ABC). Nevertheless, +1q31, -9p21.3 and -10q11.1q26.2 were more characteristic of DLBCLsn (P < 0.001). Array results were verified successfully by fluorescence in situ hybridization (FISH) on +1q21.3 (CKS1B), -6q26 (PARK2), +8q24.21 (MYC), -9p21.3 (MTAP, CDKN2A/B), -17p13.1 (TP53) and +18q21.33 (BCL2) with 82-91% agreement. Minimal common regions included biologically relevant genes of MNDA (+1q23.1), RGS1 and RGS13 (+1q31.2), FOXP1 (+3p13), PRDM1 (BLIMP1) and PARK2 (-6q21q26), MYC (+8q24.21), CDKN2A (-9p21.3), PTEN (-10q23.31), MDM2 (+12q15), TP53 (-17p13.1) and BCL2 (+18q21.33). Correlation between DNA copy number and protein immunohistochemistry was confirmed for RGS1, RGS13, FOXP1, PARK2 and BCL2. The microenvironment had high infiltration of M2-like tumour associated macrophages (TAMs) and CD8+ T lymphocytes that associated with higher genomic instability. The DLBCLsn validation set confirmed the clinicopathological characteristics, all FISH loci and immunohistochemistry (IHC) for RGS1. RGS1, one of the most frequently altered genes, was analysed by IHC in DLBCLall and high RGS1 expression associated with non-GCB, EBER+ and unfavourable overall survival (hazard ratio = 1.794; P = 0.016). CONCLUSIONS: DLBCLsn has a characteristic genomic profile. High RGS1 IHC expression associates with poor overall survival in DLBCLall (NOS) .

Genetic Predisposition to Chronic Lymphocytic Leukemia Is Mediated by a BMF Super-Enhancer Polymorphism.

Chronic lymphocytic leukemia (CLL) is an adult B cell malignancy. Genome-wide association studies show that variation at 15q15.1 influences CLL risk. We deciphered the causal variant at 15q15.1 and the mechanism by which it influences tumorigenesis. We imputed all possible genotypes across the locus and then mapped highly associated SNPs to areas of chromatin accessibility, evolutionary conservation, and transcription factor binding. SNP rs539846 C>A, the most highly associated variant (p = 1.42 × 10(-13), odds ratio = 1.35), localizes to a super-enhancer defined by extensive histone H3 lysine 27 acetylation in intron 3 of B cell lymphoma 2 (BCL2)-modifying factor (BMF). The rs539846-A risk allele alters a conserved RELA-binding motif, disrupts RELA binding, and is associated with decreased BMF expression in CLL. These findings are consistent with rs539846 influencing CLL susceptibility through differential RELA binding, with direct modulation of BMF expression impacting on anti-apoptotic BCL2, a hallmark of oncogenic dependency in CLL.

Clinical impact of clonal and subclonal TP53, SF3B1, BIRC3, NOTCH1, and ATM mutations in chronic lymphocytic leukemia.

Genomic studies have revealed the complex clonal heterogeneity of chronic lymphocytic leukemia (CLL). The acquisition and selection of genomic aberrations may be critical to understanding the progression of this disease. In this study, we have extensively characterized the mutational status of TP53, SF3B1, BIRC3, NOTCH1, and ATM in 406 untreated CLL cases by ultra-deep next-generation sequencing, which detected subclonal mutations down to 0.3% allele frequency. Clonal dynamics were examined in longitudinal samples of 48 CLL patients. We identified a high proportion of subclonal mutations, isolated or associated with clonal aberrations. TP53 mutations were present in 10.6% of patients (6.4% clonal, 4.2% subclonal), ATM mutations in 11.1% (7.8% clonal, 1.3% subclonal, 2% germ line mutations considered pathogenic), SF3B1 mutations in 12.6% (7.4% clonal, 5.2% subclonal), NOTCH1 mutations in 21.8% (14.2% clonal, 7.6% subclonal), and BIRC3 mutations in 4.2% (2% clonal, 2.2% subclonal). ATM mutations, clonal SF3B1, and both clonal and subclonal NOTCH1 mutations predicted for shorter time to first treatment irrespective of the immunoglobulin heavy-chain variable-region gene (IGHV) mutational status. Clonal and subclonal TP53 and clonal NOTCH1 mutations predicted for shorter overall survival together with the IGHV mutational status. Clonal evolution in longitudinal samples mainly occurred in cases with mutations in the initial samples and was observed not only after chemotherapy but also in untreated patients. These findings suggest that the characterization of the subclonal architecture and its dynamics in the evolution of the disease may be relevant for the management of CLL patients.

High-resolution copy number analysis of paired normal-tumor samples from diffuse large B cell lymphoma.

Copy number analysis can be useful for assessing prognosis in diffuse large B cell lymphoma (DLBCL). We analyzed copy number data from tumor samples of 60 patients diagnosed with DLBCL de novo and their matched normal samples. We detected 63 recurrent copy number alterations (CNAs), including 33 gains, 30 losses, and nine recurrent acquired copy number neutral loss of heterozygosity (CNN-LOH). Interestingly, 20 % of cases acquired CNN-LOH of 6p21 locus, which involves the HLA region. In normal cells, there were no CNAs but we observed CNN-LOH involving some key lymphoma regions such as 6p21 and 9p24.1 (5 %) and 17p13.1 (2.5 %) in DLBCL patients. Furthermore, a model with some specific CNA was able to predict the subtype of DLBCL, 1p36.32 and 10q23.31 losses being restricted to germinal center B cell-like (GCB) DLBCL. In contrast, 8p23.3 losses and 11q24.3 gains were strongly associated with the non-GCB subtype. A poor prognosis was associated with biallelic inactivation of TP53 or 18p11.32 losses, while prognosis was better in cases carrying 11q24.3 gains. In summary, CNA abnormalities identify specific DLBCL groups, and we describe CNN-LOH in germline cells from DLBCL patients that are associated with genes that probably play a key role in DLBCL development.

Detection of chromothripsis-like patterns with a custom array platform for chronic lymphocytic leukemia.

Chronic lymphocytic leukemia (CLL) is a common disease with highly variable clinical course. Several recurrent chromosomal alterations are associated with prognosis and may guide risk-adapted therapy. We have developed a targeted genome-wide array to provide a robust tool for ascertaining abnormalities in CLL and to overcome limitations of the 4-marker fluorescence in situ hybridization (FISH). DNA from 180 CLL patients were hybridized to the qChip®Hemo array with a high density of probes covering commonly altered loci in CLL (11q22-q23, 13q14, and 17p13), nine focal regions (2p15-p16.1, 2p24.3, 2q13, 2q36.3-q37.1, 3p21.31, 8q24.21, 9p21.3, 10q24.32, and 18q21.32-q21.33) and two larger regions (6q14.1-q22.31 and 7q31.33-q33). Overall, 86% of the cases presented copy number alterations (CNA) by array. There was a high concordance of array findings with FISH (84% sensitivity, 100% specificity); all discrepancies corresponded to subclonal alterations detected only by FISH. A chromothripsis-like pattern was detected in eight cases. Three showed concomitant shattered 5p with gain of TERT along with isochromosome 17q. Presence of 11q loss was associated with shorter time to first treatment (P = 0.003), whereas 17p loss, increased genomic complexity, and chromothripsis were associated with shorter overall survival (P < 0.001, P = 0.001, and P = 0.02, respectively). In conclusion, we have validated a targeted array for the diagnosis of CLL that accurately detects, in a single experiment, all relevant CNAs, genomic complexity, chromothripsis, copy number neutral loss of heterozygosity, and CNAs not covered by the FISH panel. This test may be used as a practical tool to stratify CLL patients for routine diagnostics or clinical trials.

Non-coding recurrent mutations in chronic lymphocytic leukaemia.

Chronic lymphocytic leukaemia (CLL) is a frequent disease in which the genetic alterations determining the clinicobiological behaviour are not fully understood. Here we describe a comprehensive evaluation of the genomic landscape of 452 CLL cases and 54 patients with monoclonal B-lymphocytosis, a precursor disorder. We extend the number of CLL driver alterations, including changes in ZNF292, ZMYM3, ARID1A and PTPN11. We also identify novel recurrent mutations in non-coding regions, including the 3' region of NOTCH1, which cause aberrant splicing events, increase NOTCH1 activity and result in a more aggressive disease. In addition, mutations in an enhancer located on chromosome 9p13 result in reduced expression of the B-cell-specific transcription factor PAX5. The accumulative number of driver alterations (0 to ≥4) discriminated between patients with differences in clinical behaviour. This study provides an integrated portrait of the CLL genomic landscape, identifies new recurrent driver mutations of the disease, and suggests clinical interventions that may improve the management of this neoplasia.

Efecto de la motivación del entrenador sobre la carga interna y el rendimiento físico de un juego de fútbol reducido / Efect of coach motivation in training load and physical performance of small sided games / Efeito motivação do treinador em carga de treinamento e desempenho físico de pequenos jogos lados

Los juegos reducidos de fútbol son una estrategia de entrenamiento muy empleada en la actualidad. Manipulando sus parámetros configuradores, el entrenador puede conseguir diferentes propósitos. El objetivo del trabajo fue analizar la influencia de la motivación del entrenador sobre la intensidad de un juego reducido (JR) de 3 contra 3 y su efecto sobre el rendimiento físico de jugadores de categoría alevín. Doce futbolistas realizaron el mismo juego reducido con motivación del entrenador (JME) y sin motivación del técnico (JSME). La carga interna de cada tarea fue cuantificada mediante el registro de la frecuencia cardíaca. Antes y después del JR los jugadores realizaron un test de velocidad (sprint de 30-m), un test de fuerza explosiva de piernas (test triple Hop) y un test de agilidad (test de Illinois). La participación motivante del entrenador provoca una frecuencia cardíaca media, expresada como porcentaje de la frecuencia cardíaca máxima, significativamente mayor que la obtenida sin la motivación del entrenador (89.12±4.29% vs. 82.15±3.12% respectivamente). Además, se ha observado una pérdida significativa de rendimiento en el test de velocidad (5.15±0.21s pre-test y 5.43±0.27 s post-test), agilidad (20.25 ± 0.86s pre-test y 21.01±0.99s post-test) y salto con pierna hábil (4.88±0.43 m pre-test y 4.58±0.41 m post-test) tras realizar el JME. El JSME sólo provoca un descenso significativo del rendimiento en el test de velocidad (5.28±0.27s pre-test y 5.51±0.22s post-test). La motivación del entrenador aumenta la intensidad del JR 3 contra 3 (AU)

Small sided games are a training strategy widely used currently. Manipulating their parameters, the coach can achieve different purposes. The aim was to analyze the influence of coach motivation on the intensity of small sided games of 3 vs. 3 and their effect on physical performance in youth male football players (U11). Twelve players made the same game with (JME) and without (JSME) coach motivation. The internal load of each task was quantified by recording heart rate. Before and after small sided games, soccer players perform a speed test (sprint 30-m), explosive strength (triple Hop test) and agility test (Illinois test). Small sided games with coach motivation get a greater mean hear rate, expressed as percentage of HRmax (89.12±4.29% vs. 82.15±3.12%). In addition small sided games with coach motivation significantly decreases performance in sprint test (5.15±0.21s pre-test and 5.43±0.27 s post-test) agility tests (20.25 0.86s pre-test and 21.01±0.99s post-test) and jump test (4.88±0.43 m pre-test and 4.58±0.4 m post-test). Small sided games without coach motivation only significantly decrease performance in sprint test (5.28±0.27s pre-test and 5.51±0.22s post-test). Motivation coach increases intensity in small sided games of 3 vs. 3 (AU)

Jogos de futebol reduzida são uma estratégia de treinamento muito usado hoje. Manipulando seus parâmetros configurators, o treinador pode obter efeitos diferentes. O objetivo foi analisar a influência da motivação do treinador da intensidade de um jogo pequeno (JR) 3 em 3, e seu efeito sobre o desempenho físico dos jogadores na categoria júnior. Doze jogadores fizeram o mesmo jogo pequeno, treinador motivado (JME) sem a motivação do técnico (JSME). A carga interna de cada tarefa foi quantificada através da gravação de freqüência cardíaca. Antes e depois de jogadores JR realizado um teste de velocidade (sprint de 30-m), um teste de força explosiva perna (test triple Hop) e um teste de agilidade (test de Illinois). A participação treinador motivador causa uma frequência cardíaca média, expresso em percentagem da frequência cardíaca máxima, significativamente mais elevada do que a obtida sem a motivação do treinador (89.12±4.29% vs. 82.15±3.12% respectivamente). Além disso, verificou-se uma perda significativa de desempenho no teste de velocidade (5.15±0.21s pre-test e 5.43±0.27 s post-test), agilidade (20.25 ± 0.86s pre-test e 21.01±0.99s post-test) e saltar com a perna de trabalho (4.88±0.43 m pre-test e 4.58±0.41 m post-test) depois JME. O JSME só provoca uma queda significativa no desempenho em teste de velocidade (5.28±0.27s pre-test e 5.51±0.22s post-test). A motivação do treinador, aumenta a intensidade do JR de 3 em 3 (AU)

Landscape of somatic mutations and clonal evolution in mantle cell lymphoma.

Mantle cell lymphoma (MCL) is an aggressive tumor, but a subset of patients may follow an indolent clinical course. To understand the mechanisms underlying this biological heterogeneity, we performed whole-genome and/or whole-exome sequencing on 29 MCL cases and their respective matched normal DNA, as well as 6 MCL cell lines. Recurrently mutated genes were investigated by targeted sequencing in an independent cohort of 172 MCL patients. We identified 25 significantly mutated genes, including known drivers such as ataxia-telangectasia mutated (ATM), cyclin D1 (CCND1), and the tumor suppressor TP53; mutated genes encoding the anti-apoptotic protein BIRC3 and Toll-like receptor 2 (TLR2); and the chromatin modifiers WHSC1, MLL2, and MEF2B. We also found NOTCH2 mutations as an alternative phenomenon to NOTCH1 mutations in aggressive tumors with a dismal prognosis. Analysis of two simultaneous or subsequent MCL samples by whole-genome/whole-exome (n = 8) or targeted (n = 19) sequencing revealed subclonal heterogeneity at diagnosis in samples from different topographic sites and modulation of the initial mutational profile at the progression of the disease. Some mutations were predominantly clonal or subclonal, indicating an early or late event in tumor evolution, respectively. Our study identifies molecular mechanisms contributing to MCL pathogenesis and offers potential targets for therapeutic intervention.