Mutational Status of the TP53 Gene As a Predictor of Response and Survival in Patients With Chronic Lymphocytic Leukemia: Results From the LRF CLL4 Trial

PurposeTP53 mutations have been described in chronic lymphocytic leukemia (CLL) and have been associated with poor prognosis in retrospective studies. We aimed to address the frequency and prognostic value of TP53 abnormalities in patients with CLL in the context of a prospective randomized trial.Patients and MethodsWe analyzed 529 CLL samples from the LRF CLL4 (Leukaemia Research Foundation Chronic Lymphocytic Leukemia 4) trial (chlorambucil v fludarabine with or without cyclophosphamide) at the time of random assignment for mutations in the TP53 gene. TP53 mutation status was correlated with response and survival data.ResultsMutations of TP53 were found in 40 patients (7.6%), including 25 (76%) of 33 with 17p deletion and 13 (3%) of 487 without that deletion. There was no significant correlation between TP53 mutations and age, stage, IGHV gene mutations, CD38 and ZAP-70 expression, or any other chromosomal abnormality other than 17p deletion, in which concordance was high (96%). TP53 mutations were significantly associated with poorer overall response rates (27% v 83%; P <.001) and shorter progression-free survival (PFS) and overall survival (OS; 5-year PFS: 5% v 17%; 5-year OS: 20% v 59%; P <.001 for both). Multivariate analysis that included baseline clinical variables, treatment, and known adverse genetic factors confirmed that TP53 mutations have added prognostic value.ConclusionTP53 mutations are associated with impaired response and shorter survival in patients with CLL. Analysis of TP53 mutations should be performed in patients with CLL who have progressive disease before starting first-line treatment, and those with mutations should be selected for novel experimental therapies. J Clin Oncol 29: 2223-2229. (C) 2011 by American Society of Clinical Oncology

Specific JAK2 mutation (JAK2R683) and multiple gene deletions in Down syndrome acute lymphoblastic leukemia

Children with Down syndrome (DS) have a greatly increased risk of acute megakaryoblastic leukemia (AMKL) and acute lymphoblastic leukemia (ALL). Both DS-AMKL and the related transient myeloproliferative disorder (TMD) have GATA1 mutations as obligatory, early events. To identify mutations contributing to leukemogenesis in DS-ALL, we undertook sequencing of candidate genes, including FLT3, RAS, PTPN11, BRAF, and JAK2. Sequencing of the JAK2 pseudokinase domain identified a specific, acquired mutation, JAK2R683, in 12 (28%) of 42 DS-ALL cases. Functional studies of the common JAK2R683G mutation in murine Ba/F3 cells showed growth factor independence and constitutive activation of the JAK/STAT signaling pathway. High-resolution SNP array analysis of 9 DS-ALL cases identified additional submicroscopic deletions in key genes, including ETV6, CDKN2A, and PAX5. These results infer a complex molecular pathogenesis for DS-ALL leukemogenesis, with trisomy 21 as an initiating or first hit and with chromosome aneuploidy, gene deletions, and activating JAK2 mutations as complementary genetic events. (Blood. 2009; 113: 646-648)

Characterising the TP53-deleted subgroup of chronic lymphocytic leukemia: an analysis of additional cytogenetic abnormalities detected by interphase fluorescence in situ hybridisation and array-based comparative genomic hybridisation.

Deletion of the TP53 gene on chromosome 17p13.1 is the prognostic factor associated with the shortest survival in CLL. We used array-based comparative genomic hybridisation (arrayCGH) to identify additional DNA copy number changes in peripheral blood samples from 74 LRF CLL4 trial patients, 37 with >or=5% and 37 without TP53-deleted cells. ArrayCGH reliably detected deletions on 17p, including the TP53 locus, in cases with >or=50%TP53-deleted cells detected by fluorescence in situ hybridisation, plus seven additional cases with deleted regions on 17p excluding TP53. Losses on chromosomal regions 18p and/or 20p were found exclusively in cases with >or=5%TP53-deleted cells (por=5%TP53-deleted cases (p=0.02). In particular, amplification of 2p and deletion of 6q were both more frequent. Cases with >20%TP53-deleted cells had the worst prognosis in the LRF CLL4 trial.

Molecular characterization of complete and incomplete immunoglobulin heavy chain gene rearrangements in hairy cell leukemia.

PURPOSE: We analyzed patients with hairy cell leukemia (HCL) to achieve a better understanding of the differentiation stage reached by HCL cells and to define the key role of the diversification of cell surface makers, especially CD25 expression. PATIENTS AND METHODS: We analyzed 38 previously untreated patients with HCL to characterize their complete (VDJ(H)) and incomplete (DJ(H)) immunoglobulin (Ig) heavy chain (IgH) rearrangements, including somatic hypermutation pattern and gene segment use. RESULTS: A correlation between immunophenotypic profile and molecular data was seen. All 38 cases showed monoclonal amplifications: VDJ(H) in 97%, DJ(H) in 42%, and both in 39%. Segments from the D(H)3 family were used more in complete compared with incomplete rearrangements (45% vs. 12%; P <.005). Furthermore, comparison between molecular and immunophenotypic characteristics disclosed differences in the expression of CD25 antigen; CD25(-) cases, a phenotype associated with HCL variant, showed complete homology to the germline in 3 of 5 cases (60%), whereas this characteristic was never observed in CD25(+) cases (P <.005). Moreover, V(H)4-34, V(H)1-08, and J(H)3 segments appeared in 2, 1, and 2 CD25(-) cases, respectively, whereas they were absent in all CD25(+) cases. CONCLUSION: These results support that HCL is a heterogeneous entity including subgroups with different molecular characteristics, which reinforces the need for additional studies with a larger number of patients to clarify the real role of gene rearrangements in HCL.

Two new 3' PML breakpoints in t(15;17)(q22;q21)-positive acute promyelocytic leukemia.

In the present article, two new types of PML/RARA junctions are described. Both were identified in diagnostic samples from two t(15;17)(q22;q21)-positive acute promyelocytic leukemia (APL) patients who failed to achieve complete remission. By using different sets of primers, reverse transcriptase polymerase chain reaction (RT-PCR) of PML/RARA junctions showed atypical larger bands compared with those generated from the three classical PML breakpoints already described. Sequence analysis of the fusion region of the amplified cDNAs allowed us to determine the specificity of these fragments in both patients. This analysis showed two new hybrid transcripts that were 53 and 306 base pairs (bp) longer than that expressed by the NB4 cell line (PML breakpoint within intron 6), and are the result of the direct joining of RARA exon 3 with PML exon 7a (patient 2) or the 5' portion of PML exon 7b (patient 1), respectively. In patient 1, RT-PCR analysis of the reciprocal RARA/PML junction showed a smaller transcript than that expected in bcr1 cases, while in patient 2 no amplified fragment was obtained. Cytogenetic analysis and/or fluorescence in situ hybridization (FISH) showed that both patients had the t(15;17) translocation. The clinical and hematological profiles expressed by the two patients carrying these unexpected types of PML/RARA rearrangement did not differ significantly from that commonly seen in other APLs with the exception of the poor outcome. Genes Chromosomes Cancer 27:35-43, 2000.

Searching for Predictive Subgroups

Thesis (Ph.D.)--University of Washington, 2016-08

Regenerative Cues of Myeloid Cells on Pancreatic Epithelium

Thesis (Ph.D.)--University of Washington, 2016-07

Exploiting DNA damage repair defects for effective targeting of acute myeloid leukaemia by PARP inhibitors

Abstract for 24th Biennial Congress of the European Association for Cancer Research, 9–12 July 2016, Manchester, UK. Poster Session: Cancer Genomics, Epigenetics and Genome Instability II: Monday 11 July 2016

Avaliação do papel dos polimorfismos em enzimas metabolizadoras e enzimas transportadoras de fármacos em neoplasias hematológicas

O cancro é um dos maiores causadores globais de mortalidade e morbilidade, ocorrendo cerca de 14 milhões de novos casos por ano e 8,2 milhões de mortes anuais com esta patologia, números que tendem a aumentar 70% nas próximas duas décadas. A característica tumoral mais nefasta é a sua capacidade de metastização para outros órgãos, um mecanismo que pode ser despoletado pela falha dos mecanismos normais de controlo de crescimento, proliferação e reparação celulares, que facilita o processo de transformação de células normais em células cancerígenas. A oncogénese processa-se em três etapas, a iniciação, a promoção e a progressão e pode ter origem em células estaminais cancerígenas, que regulam as capacidades de propagação e recidiva do tumor. As neoplasias hematológicas resultam de alterações genéticas e /ou epigenéticas que conduzem à desregulação da proliferação, ao bloqueio da diferenciação e/ou à resitência à apoptose. Para além dos fatores de risco exógenos, como agentes carcinogénicos físicos, químicos e biológicos, existem também fatores endógenos, incluindo características genéticas, que podem alterar a predisposição para o aparecimento de neoplasias, bem como influenciar a resposta à terapêutica. Uma das terapêuticas aplicadas no tratamento do cancro é a quimioterapia. Os fármacos administrados a doentes oncológicos seguem normalmente o percurso de absorção, distribuição, metabolização e eliminação. Este curso pode sofrer alterações caso as proteínas transportadoras e metabolizadoras necessárias não atuem corretamente. Para um melhor conhecimento da influência das alterações provocadas por variações nos genes que codificam proteínas transportadoras de efluxo (MDR1, MRP1), proteínas de influxo (OCTN2) e proteínas metabolizadoras (UCK2), o objetivo deste trabalho consistiu na avaliação de polimorfismos nos genes MDR1, MRP1, OCTN2 e UCK2 e da sua relação com a predisposição para o desenvolvimento de neoplasias hematológicas. Para isto, foram utilizadas amostras de 307 doentes com neoplasias hematológicas, 83 de Síndrome Mielodisplásica (SMD), 63 Leucemia Mieloide Aguda (LMA), 16 de Síndrome Mielodisplásica/Neoplasias Mieloproliferativas (SMD/NMP), 77 de Mieloma Múltiplo (MM) e 68 de Gamapatia Monoclonal de Significado Indeterminado (MGUS) e 164 de controlos não neoplásicos e/ou indivíduos saudáveis. As amostras de ADN foram extraídas do sangue periférico com protocolo adequado. De forma a determinar os genótipos correspondentes a cada amostra, realizaram-se técnicas de RFLP-PCR e ARMS-PCR. Posteriormente, calcularam-se estatisticamente as frequências alélicas e genotípicas relativas às variantes polimórficas dos genes MDR1, MRP1, OCTN2 e UCK2 e verificou-se se estavam em Equilíbrio de Hardy-Weinberg. De seguida, avaliou-se a força de associação entre as formas polimórficas e o risco de desenvolvimento de neoplasias hematológicas, através do cálculo do risco relativo por análise de regressão logística. Avaliaram-se ainda os perfis genéticos e a possível relação com o desenvolvimento e progressão da neoplasia com recurso a regressão logística e análise de Kaplan-Meier. De um modo geral as frequências alélicas e genotípicas não se revelaram alteradas comparativamente ao esperado. A análise do odds ratio associado ao polimorfismo rs1045642 do gene MDR1 revelou que o genótipo CT pode constituir um fator de risco aumentado de 1,84x para o desenvolvimento de Gamapatias Monoclonais e 2,27x para o desenvolvimento de Mieloma Múltiplo. Por outro lado, a presença de genótipos portadores do alelo T têm um efeito protetor no desenvolvimento de MM (OR=0,41). O cálculo do risco associado ao polimorfismo rs4148330 do gene MRP1 revela que o genótipo AG é um fator protetor (OR=0,50) para o desenvolvimento de LMA, assim como o alelo G (OR=0,50). Além disso, verificámos que existe uma associação de risco de desenvolver neoplasia com o polimorfismo rs2185268 do gene UCK2. De facto, a presença dos genótipos CC e AC representam um fator de risco 4,59x aumentado para o desenvolvimento de SMD/NMP. O polimorfismo rs274561 do gene OCTN2 não apresenta relação com o risco relativo de desenvolvimento neoplásico. Da avaliação da influência dos polimorfismos em estudo na sobrevivência global dos doentes, podemos assumir que a presença do genótipo GG relativo ao polimorfismo rs2185268 do gene UCK2 representa uma diminuição da sobrevivência em 11 meses. Os resultados obtidos a partir do nosso estudo permitem-nos concluir que os polimorfismos podem ser fatores relevantes na predisposição para o desenvolvimento de neoplasias hematológicas e na progressão destas doenças.

Étude des gènes de fusion MLL dans les leucémies aigues humaines

Les leucémies aigues sont la conséquence d’une prolifération clonale et maligne des cellules hématopoïétiques. Elles surviennent suite à un évènement oncogénique qui se produit dans une cellule souche hématopoïétique (CSH) ou progénitrice. Cela lui confère une certaine instabilité qui engendre l’accumulation d’autres évènements génétiques et/ou épigénétiques responsables du développement clinique de la maladie. Les leucémies MLL représentent environ 10% des leucémies aigues et aujourd’hui, plus de 70 gènes de fusion ont été caractérisés. Les sangs de cordon sont une source importante de CSH et progénitrices. La purification de ces cellules et leur transformation en cellules leucémiques à l’aide de gènes de fusion MLL nous permettent de générer des leucémies aigues humaines dans des souris immunodéficientes NSG et ainsi étudier le potentiel leucémique de différents gènes de fusion MLL. Dans un premier temps, 4 gènes de fusion MLL ont été étudiés : MLL-AF9, MLL-AF4, MLL-ENL et MLL-ELL. In vitro, nous sommes capables de transformer des CSH en cellules leucémiques capables de proliférer rapidement. Les résultats in vivo nous montrent qu’il est possible de générer des leucémies avec les oncogènes MLL-AF9 et MLL-ENL. Pour les fusions MLL-ELL et MLL-AF4, bien que quelques leucémies ont pu être obtenues, plusieurs problèmes techniques nous empêchent aujourd’hui de disposer d’un modèle adéquat permettant l’étude complète de ces oncogènes. Dans un second temps, les leucémies aigues MLL-AF9 ont été étudiées dans un modèle contrôlé où les cellules souches proviennent d’un donneur unique. Grâce à ce modèle, nous avons pu démontrer que l’oncogène MLL-AF9 est suffisant pour induire le développement de la maladie. En effet aucune nouvelle mutation n’a pu être identifiée au cours du développement de la leucémie. Parmi les leucémies myéloïdes aigues (LMA) MLL-AF9 issues de ce modèle, certains gènes non mutés, dont RET, ont été identifiés comme étant de potentiels biomarqueurs de ce sous-groupe de leucémie.

Molecular characterization of human T cell leukemia virus type 1 subtypes in a group of infected individuals diagnosed in Portugal and Spain

Over the past decade, Portugal and Spain received large numbers of immigrants from HTLV-1 endemic areas. Our aim was to investigate the diversity of subtypes circulating in these two countries and the introduction of new variants. We performed a molecular analysis of HTLV-1 strains in patients diagnosed since 1998. LTR and env proviral sequences from 26 individuals were analyzed to generate phylogenetic trees along with reference HTLV-1 subtypes from several geographic origins. Epidemiological and clinical data were recorded. Most subjects were immigrants (57.7%) from South America and Africa. All isolates belonged to the cosmopolitan A subtype. Most carried the transcontinental subgroup A, but five subjects carried subgroup D and one carried subgroup C, previously unreported in Europe. HTLV strains showed separate clusters linked to the patients' geographic origin. Although subjects with HTLV-1 infection tend not to be engaged in high-risk practices, silent dissemination of a broad diversity of HTLV-1 viruses may still occur.

Applying Mathematical Models to Study the Role of the Immune System in Chronic Myelogenous Leukemia

Although tyrosine kinase inhibitors (TKIs) such as imatinib have transformed chronic myelogenous leukemia (CML) into a chronic condition, these therapies are not curative in the majority of cases. Most patients must continue TKI therapy indefinitely, a requirement that is both expensive and that compromises a patient's quality of life. While TKIs are known to reduce leukemic cells' proliferative capacity and to induce apoptosis, their effects on leukemic stem cells, the immune system, and the microenvironment are not fully understood. A more complete understanding of their global therapeutic effects would help us to identify any limitations of TKI monotherapy and to address these issues through novel combination therapies. Mathematical models are a complementary tool to experimental and clinical data that can provide valuable insights into the underlying mechanisms of TKI therapy. Previous modeling efforts have focused on CML patients who show biphasic and triphasic exponential declines in BCR-ABL ratio during therapy. However, our patient data indicates that many patients treated with TKIs show fluctuations in BCR-ABL ratio yet are able to achieve durable remissions. To investigate these fluctuations, we construct a mathematical model that integrates CML with a patient's autologous immune response to the disease. In our model, we define an immune window, which is an intermediate range of leukemic concentrations that lead to an effective immune response against CML. While small leukemic concentrations provide insufficient stimulus, large leukemic concentrations actively suppress a patient's immune system, thus limiting it's ability to respond. Our patient data and modeling results suggest that at diagnosis, a patient's high leukemic concentration is able to suppress their immune system. TKI therapy drives the leukemic population into the immune window, allowing the patient's immune cells to expand and eventually mount an efficient response against the residual CML. This response drives the leukemic population below the immune window, causing the immune population to contract and allowing the leukemia to partially recover. The leukemia eventually reenters the immune window, thus stimulating a sequence of weaker immune responses as the two populations approach equilibrium. We hypothesize that a patient's autologous immune response to CML may explain the fluctuations in BCR-ABL ratio that are regularly seen during TKI therapy. These fluctuations may serve as a signature of a patient's individual immune response to CML. By applying our modeling framework to patient data, we are able to construct an immune profile that can then be used to propose patient-specific combination therapies aimed at further reducing a patient's leukemic burden. Our characterization of a patient's anti-leukemia immune response may be especially valuable in the study of drug resistance, treatment cessation, and combination therapy.