Literature DB >> 30190342

Prognostic implications of additional genomic lesions in adult Philadelphia chromosome-positive acute lymphoblastic leukemia.

Anna Lucia Fedullo1, Monica Messina1, Loredana Elia1, Alfonso Piciocchi2, Valentina Gianfelici1, Alessia Lauretti1, Stefano Soddu2, Maria Cristina Puzzolo1, Clara Minotti1, Felicetto Ferrara3, Bruno Martino4, Patrizia Chiusolo5, Valeria Calafiore6, Stefania Paolini7, Marco Vignetti1,2, Antonella Vitale1, Anna Guarini8, Robin Foà9, Sabina Chiaretti9.   

Abstract

To shed light onto the molecular basis of Philadelphia chromosome-positive acute lymphoblastic leukemia and to investigate the prognostic role of additional genomic lesions, we analyzed copy number aberrations using the Cytoscan HD Array in 116 newly diagnosed adult patients with Philadelphia chromosome-positive acute lymphoblastic leukemia enrolled in four different GIMEMA protocols, all based on a chemotherapy-free induction strategy. This analysis showed that patients with Philadelphia chromosome-positive acute lymphoblastic leukemia carry an average of 7.8 lesions/case, with deletions outnumbering gains (88% versus 12%). The most common deletions were those targeting IKZF1, PAX5 and CDKN2A/B, which were detected in 84%, 36% and 32% of cases, respectively. Patients carrying simultaneous deletions of IKZF1 plus CDKN2A/B and/or PAX5 had a significantly lower disease-free survival rate (24.9% versus 43.3%; P=0.026). The only IKZF1 isoform affecting prognosis was the dominant negative one (P=0.003). Analysis of copy number aberrations showed that 18% of patients harbored MEF2C deletions, which were of two types, differing in size: the longer deletions were associated with the achievement of a complete molecular remission (P=0.05) and had a favorable impact on disease-free survival (64.3% versus 32.1% at 36 months; P=0.031). These findings retained statistical significance also in multivariate analysis (P=0.057). KRAS deletions, detected in 6% of cases, were associated with the achievement of a complete molecular remission (P=0.009). These results indicate that in adults with Philadelphia chromosome-positive acute lymphoblastic leukemia a detailed evaluation of additional deletions - including CDKN2A/B, PAX5, IKZF1, MEF2C and KRAS - has prognostic implications and should be incorporated in the design of more personalized treatment strategies.
Copyright © 2019 Ferrata Storti Foundation.

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Year:  2018        PMID: 30190342      PMCID: PMC6355475          DOI: 10.3324/haematol.2018.196055

Source DB:  PubMed          Journal:  Haematologica        ISSN: 0390-6078            Impact factor:   9.941


Introduction

The Philadelphia (Ph) chromosome derives from the t(9;22)(q34;q11) and leads to a BCR-ABL1 rearrangement.[1] The incidence of this chromosomal change in acute lymphoblastic leukemia (ALL) increases with age, being detected in 25% of adults and in about 50% of elderly patients.[2] Prior to the advent of tyrosine kinase inhibitors, the outcome of Ph+ ALL patients was extremely poor,[3-5] and the only possibility of a cure was allogeneic stem cell transplantation (HSCT), when feasible.[6,7] The introduction of tyrosine kinase inhibitors, administered with low doses or without chemotherapy during induction, followed by consolidation chemotherapy and HSCT has markedly improved the management and outcome of adult Ph+ ALL patients, with survival rates at 5 years now approaching 50%.[8-17] Different biological features - the type of fusion transcript (i.e. p190 or p210),[18] the persistence and/or reappearance of minimal residual disease (MRD),[19,20] additional genomic deletions (particularly IKZF1, and to a lesser extent CDKN2A/B and PAX5[21-24]) - and the presence of mutations at relapse are associated with a worse outcome.[25-27] However, a broad and refined biological algorithm that could help to optimize treatment strategies and define better whether some patients could be spared intensive treatment, including HSCT, has so far not been proposed. To this end, in the present study we investigated copy number aberrations (CNA) in 116 newly diagnosed adult Ph+ ALL patients to identify additional molecular lesions with the aim of improving patients’ stratification and management.

Methods

Experimental strategy

Bone marrow and/or peripheral blood samples from 116 patients (Table 1) with newly diagnosed Ph+ ALL enrolled in four GIMEMA (Gruppo Italiano Malattie EMatologiche dell’Adulto) trials were analyzed (Online Supplementary Table S1). The study was carried out in four phases (Online Supplementary Figure S1): (i) CNA analysis of 116 samples by Cytoscan; (ii) multiplex ligation-dependent probe amplification analysis; (iii) validation of MEF2C deletions by digital droplet (dd) polymerase chain reaction (PCR); and (iv) MEF2C and KRAS mutational screening.
Table 1.

Patients’ clinical features.

Patients’ clinical features. This study was approved in the context of an Associazione Italiana per la Ricerca sul Cancro (AIRC) project (10007) with Institutional Review Board number 2182/16.06.2011.

Copy number aberration analysis

CNA were analyzed using CytoScan® HD Arrays (Affymetrix, Santa Clara, CA, USA) and Chromosome Analysis Suite (ChAS) software. Germline material from five paired samples was also evaluated. Recurrent deletions were validated with the Salsa MLPA P335 ALL-IKZF1 kit (MRC-Holland, Amsterdam, the Netherlands)[28,29] (Online Supplementary Data). Statistical analyses on clinical correlates are described in the Online Supplementary Data.

Digital droplet polymerase chain reaction assays

MEF2C deletions were validated by ddPCR using the QX200™ Droplet Digital™ PCR System (BioRad, Hercules, CA, USA) and QuantaSoft Analysis Pro software according to the manufacturer’s instructions (Online Supplementary Data).

Mutational screening

Sanger sequencing of PCR products for MEF2C and KRAS exons (Online Supplementary Table S2) was performed with the ABI-Prism 3500 sequencer (Applied Biosystem, Life Technologies, Foster City, CA, USA) (Online Supplementary Data).

Results

CNA analysis revealed 7.8 aberrations/patient (range: 0-28), the majority being losses (88%) with only 12% gains, both spanning from whole chromosomes to focal lesions;[22,23,30-32] no differences were recorded among trials (Figure 1A).
Figure 1.

Overall load and incidence of genetic lesions in Philadelphia chromosome-positive acute lymphoblastic leukemia. (A) Distribution of copy number aberrations in the whole cohort and across different protocols. (B) Percentages of gross chromosomal aberrations. (C) Percentages of deletions of known genes in the whole cohort (n=116) and in the different studies analyzed. (D) Heatmap of IKZF1, CDKN2A/B, and PAX5 deletions in the whole cohort.

Overall load and incidence of genetic lesions in Philadelphia chromosome-positive acute lymphoblastic leukemia. (A) Distribution of copy number aberrations in the whole cohort and across different protocols. (B) Percentages of gross chromosomal aberrations. (C) Percentages of deletions of known genes in the whole cohort (n=116) and in the different studies analyzed. (D) Heatmap of IKZF1, CDKN2A/B, and PAX5 deletions in the whole cohort. Gross chromosomal lesions were found in 42% of cases: the majority were losses of chromosome 7 (18.1%), followed by monosomy of chromosome 9 or 9p deletion (9%) and gain of 1q (7.7%) (Figure 1B, Online Supplementary Table S3). Smaller deletions - limited to one to three genes and defined as focal - were found in 56% of cases. The most frequently deleted region involved the 7p12 cytoband comprising IKZF1[22,23,33,34] which was detected in 97 cases (84%). PAX5 was deleted in 43 patients (36.2%), while 37 (31.9%) had deletions of CDKN2A/B. MLLT3, BTG1, BTLA, CD200 and RB1 were deleted in 30, 27, 21, 17 and 16 cases, respectively (25.9%, 23%, 18.1%, 17.2%, 14.6%, and 13.8%) (Figure 1C). IKZF1 deletions (ΔIKZF1) occurred together with CDKN2A/B and/or PAX5 deletions in 45/97 cases (46.4%) and are defined as ΔIKZF1+CDKN2A and/or PAX5 (Figure 1D): this subset displayed similar lesions to those recently described by Stanulla and colleagues.[35] With regard to potential interactions, we found a significant association between IKZF1 and PAX5 deletions (P=0.01), but not with CDKN2A. Multiplex ligation-dependent probe amplification confirmed IKZF1, PAX5, CDKN2A, BTG1, EBF1, ETV6 and RB1 lesions, and allowed evaluation of IKZF1 isoforms. These isoforms were grouped into four classes:[24,36] wild-type, dominant-negative (comprising Δ4-7 cases, 29.8%), haploinsufficient (including all cases harboring a deletion that involves exon 2 - i.e. Δ2-7, Δ2-8, Δ2-3, Δ1-3 - or the whole gene, 57.7%) and miscellaneous (remaining cases, 11.3%).

Identification of novel lesions

CNA analysis highlighted additional genomic lesions (Table 2, Online Supplementary Table S4). We focused in particular on MEF2C and KRAS deletions since these had prognostic significance (see below). MEF2C deletions were detected in 21 patients (18.1%) and differed in size. According to the length of intron 1-2 losses, deletions were grouped into two categories. One category - detected in 14 cases (67% of MEF2C deleted cases) - was characterized by a larger minimal common region (6.2 Kb) involving introns 1-2 and exon 2 (the first codifying exon), defined ΔMEF2C-long. The other category, detected in seven patients, was smaller (5.4 Kb) and involved only exon 2, and was called ΔMEF2C-short (Figure 2A). ddPCR confirmed MEF2C lesions in all cases. No MEF2C mutations were identified.
Table 2.

Minimal common region (MCR) of identified focal lesions.

Figure 2.

Representation of ΔMEF2C and ΔKRAS. (A) Representation of ΔMEF2C for each patient. Lesions are ordered according to their size: one case had a deletion of the whole gene, one had a deletion that involved only exon 1 spanning from intron 1-2 to the 5′ untranslated region (5′UTR), four had deletions starting from intron 2-3 and ending at 5′-UTR, thereby involving both exons 2 and 1 (the latter being an untranslated exon), 13 had lesions spanning from intron 2-3 to intron 1-2, therefore involving exon 2 (the first codifying exon), with six of them harboring a longer intron 1-2 deletion. Lastly, two cases had deletions that involved only intron 1-2. The first 14 cases were considered as ΔMEF2C-long and the remaining as ΔMEF2C-short. (B) Representation of ΔKRAS for each patient. Lesions are ordered according to their size: in four cases, the deletion encompassed only KRAS itself, whereas in three it involved the short arm of chromosome 12. INTR: intron; EX: exon; 5′UTR: 5′ untranslated region.

Minimal common region (MCR) of identified focal lesions. Representation of ΔMEF2C and ΔKRAS. (A) Representation of ΔMEF2C for each patient. Lesions are ordered according to their size: one case had a deletion of the whole gene, one had a deletion that involved only exon 1 spanning from intron 1-2 to the 5′ untranslated region (5′UTR), four had deletions starting from intron 2-3 and ending at 5′-UTR, thereby involving both exons 2 and 1 (the latter being an untranslated exon), 13 had lesions spanning from intron 2-3 to intron 1-2, therefore involving exon 2 (the first codifying exon), with six of them harboring a longer intron 1-2 deletion. Lastly, two cases had deletions that involved only intron 1-2. The first 14 cases were considered as ΔMEF2C-long and the remaining as ΔMEF2C-short. (B) Representation of ΔKRAS for each patient. Lesions are ordered according to their size: in four cases, the deletion encompassed only KRAS itself, whereas in three it involved the short arm of chromosome 12. INTR: intron; EX: exon; 5′UTR: 5′ untranslated region. KRAS deletions (ΔKRAS) were detected in seven cases (6%); the focal lesion of KRAS started in the 5′ untranslated region and ended in intron 1-2, involving the first non-codifying exon (Figure 2B). The minimal common region consisted of 135 Kb. KRAS was not affected by mutations.

Impact of known and novel deletions on complete molecular response achievement and disease-free survival

We did not find significant differences between patients with ΔIKZF1 and IKZF1 wild-type cases with regard to achievement of complete molecular response (CMR) or disease-free survival (DFS) (Online Supplementary Figure S2). Further stratification according to IKZF1 isoforms showed that patients with the dominant-negative isoform had a lower DFS rate (23.3%; P=0.039) compared to patients with the other isorforms, particularly wild-type (53.3%; P=0.016) and haploinsufficient cases (40.3%; P=0.015); the DFS rate of the miscellaneous group (34.1%) did not differ significantly from that of the dominant-negative cases (Figure 3A). These differences were not statistically significant in the overall survival analysis (Figure 3B).
Figure 3.

Survival probability curves according to IKZF1 status. (A) Disease-free survival and (B) overall survival at 36 months of patients divided according to IKZF1 isoform. (C) Disease-free survival and (D) overall survival at 36 months of ΔIKZF1-only and ΔIKZF1+ CDKN2A and/or PAX5 patients. WT: wild-type; DFS: disease-free survival; OS: overall survival; CR: complete remission.

Survival probability curves according to IKZF1 status. (A) Disease-free survival and (B) overall survival at 36 months of patients divided according to IKZF1 isoform. (C) Disease-free survival and (D) overall survival at 36 months of ΔIKZF1-only and ΔIKZF1+ CDKN2A and/or PAX5 patients. WT: wild-type; DFS: disease-free survival; OS: overall survival; CR: complete remission. We also investigated the outcome of ΔIKZF1+CDKN2A and/or PAX5 cases. The CMR rate did not differ between ΔIKZF1+CDKN2A and/or PAX5 and ΔIKZF1-only cases; contrariwise, ΔIKZF1+CDKN2A and/or PAX5 patients had a significantly worse DFS than ΔIKZF1-only cases (43.3% versus 24.9%; P=0.026) (Figure 3C) and an inferior overall survival (62.6% versus 40.2%; P=0.02) (Figure 3D). The presence of ΔMEF2C-long was associated with a higher rate of CMR achievement (P=0.05); this effect was not influenced by the protocol or the tyrosine kinase inhibitor used (imatinib or dasatinib). Furthermore, ΔMEF2C-long cases were also associated with a significantly better DFS (64.3% versus 32.1%; P=0.031) (Figure 4A) and overall survival (77.9% versus 48.4%; P=0.036) (Figure 4B).
Figure 4.

Survival probability curves according to MEF2C status. (A) Disease-free survival at 36 months of ΔMEF2C versus MEF2C wild-type patients. (B) Overall survival at 36 months of ΔMEF2C versus MEF2C wild-type patients. WT: wild-type; DFS: disease-free survival; OS: overall survival; CR: complete remission.

Survival probability curves according to MEF2C status. (A) Disease-free survival at 36 months of ΔMEF2C versus MEF2C wild-type patients. (B) Overall survival at 36 months of ΔMEF2C versus MEF2C wild-type patients. WT: wild-type; DFS: disease-free survival; OS: overall survival; CR: complete remission. Lastly, ΔKRAS was more frequently found in patients who obtained a CMR (24% versus 3%; P=0.009), but this finding did not have an impact on DFS.

Prognostic impact of known and novel genomic lesions in univariate and multivariate analyses

In univariate analysis, ΔMEF2C-long and ΔKRAS had an impact on CMR achievement, while ΔMEF2C-long and ΔIKZF1+CDKN2A and/or PAX5 influenced DFS (Table 3).
Table 3.

Summary of univariate and multivariate analyses for complete molecular response and disease-free survival for the factors identified.

Summary of univariate and multivariate analyses for complete molecular response and disease-free survival for the factors identified. In multivariate analysis for CMR, performed taking into account white blood cell count, age, tyrosine kinase inhibitor use and the genomic lesions described above, the only factor that retained statistical significance was ΔKRAS (P=0.01); a trend was noted for ΔMEF2C-long deletions (P=0.075) (Table 3). In multivariate analysis for DFS, considering ΔMEF2C-long, ΔIKZF1+CDKN2A and/or PAX5, white blood cell count and CMR as variables, the factors that had a negative impact were ΔMEF2C-long (P=0.057) and white blood cell count (P=0.05), while a trend towards a worse DFS was observed for ΔIKZF1+CDKN2A and/or PAX5 (P=0.089) (Table 3). HSCT did not affect the prognostic role of the above-mentioned lesions.

Discussion

The management of adults with Ph+ ALL currently relies on the use of first,[8-10,13-16] second[11,12] and third[37] generation tyrosine kinase inhibitors, either alone[9-12] or in combination with chemotherapy,[8,13-16,37] followed - if feasible and necessary - by HSCT. These approaches have greatly improved the outcome of Ph+ ALL: nowadays, virtually all patients - independent of age - achieve a complete hematologic remission, coupled to a CMR in a variable proportion of cases. Nonetheless, in all reported studies the long-term outcome is in the range of 50% at 5 years; thus, additional prognosticators capable of better stratifying patients into high- and low-risk categories are urgently needed to further optimize treatment. Moreover, another unsolved issue is whether all eligible patients should undergo HSCT,[7,17] a procedure still associated with short-and long-term side effects, as well as treatment-related mortality. This is particularly important for patients who obtain a CMR. To address these issues we sought to identify additional genomic lesions with prognostic significance in adult Ph+ ALL using high density Cytoscan arrays. We found that adult Ph+ ALL patients carried an average of 7.8 aberrations each, with deletions outnumbering gains, in line with other ALL subsets.[22,30,38,39] Macro-aberrations were identified in 48% of cases and micro-aberrations in the majority of patients: among the latter, the most frequent was ΔIKZF1, which was detected in 84% of cases. ΔIKZF1 has been regarded as a poor prognostic marker in both childhood and adult ALL.[34,36,39-41] This finding was not, however, confirmed in our cohort: in fact, the presence of ΔIKZF1 alone was not associated with a worse DFS. A further evaluation of the various IKZF1 isoforms showed that only the dominant-negative genotype was deleterious for outcome. In addition, patients with ΔIKZF1+CDKN2A and/or PAX5, accounting for almost half the ΔIKZF1 cases, experienced a significantly inferior DFS (P=0.005) and overall survival (P=0.02), in line with previous reports on ALL in general.[28,29,36,39,42,43] ΔIKZF1+CDKN2A and/or PAX5 also had a prognostic impact in multivariate analysis; survival analysis was carried out merging all cases enrolled in the different trials together in order to gain statistical significance. Recently, studies have been focused on the presence of additional karyotypic aberrations in Ph+ ALL.[44-48] These studies have highlighted that a high percentage of Ph+ ALL cases (60-80%) harbor additional chromosomal abnormalities, with the most frequent aberrations involving chromosomes 7, 9, and 14. Patients with additional abnormalities, particularly loss of 9/9p and/or CDKN2A, have a worse outcome. These results point to the importance of screening for other molecular markers, and not only IKZF1, in agreement with our findings on ΔIKZF1+CDKN2A and/or PAX5. At variance from these reports, our study also identified novel lesions that had a favorable impact on outcome. Among these, it is worth mentioning ΔMEF2C, which occurred in 18.1% of patients and was of two sizes, a long deletion, encompassing introns 1-2 and exon 2, and a second, smaller one, involving only exon 2. MEF2C is a transcription factor involved in B-cell survival and proliferation whose overexpression is associated with an unfavorable prognosis in T-ALL and acute myeloid leukemia.[49-52] In our study, the presence of ΔMEF2C-long was associated with achievement of a CMR (P=0.05) and with a significantly better DFS compared to the remaining cases (P=0.031) also in a multivariate model; as for IKZF1 deletions, survival analysis was performed merging the whole cohort because of the sample sizes. ΔMEF2C-long was widely distributed among cases, with no association with white blood cell count, age, type of fusion protein or additional deletions. To our knowledge, this is the first report that correlates ΔMEF2C-long with prognosis in Ph+ ALL: Martinelli et al.[40] and Mullighan et al.[22,41] described ΔMEF2C in Ph+ ALL, but did not demonstrate a correlation with outcome. Finally, ΔKRAS was associated with a higher rate of CMR achievement upon induction (P=0.01), but not with a better DFS. In conclusion, we show that additional genetic lesions can be found at presentation in adult Ph+ ALL patients and that these lesions have prognostic significance, with the IKZF1 dominant-negative isoform and ΔIKZF1+CDKN2A and/or PAX5 negatively affecting outcome, and ΔMEF2C and ΔKRAS being instead associated with a more favorable prognosis. Screening for these genetic lesions should, therefore, be performed at the time of diagnosis for a more refined prognostic stratification, and for a more personalized and tailored management of Ph+ ALL patients.
  51 in total

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2.  Randomized study of reduced-intensity chemotherapy combined with imatinib in adults with Ph-positive acute lymphoblastic leukemia.

Authors:  Yves Chalandon; Xavier Thomas; Sandrine Hayette; Jean-Michel Cayuela; Claire Abbal; Françoise Huguet; Emmanuel Raffoux; Thibaut Leguay; Philippe Rousselot; Stéphane Lepretre; Martine Escoffre-Barbe; Sébastien Maury; Céline Berthon; Emmanuelle Tavernier; Jean-François Lambert; Marina Lafage-Pochitaloff; Véronique Lhéritier; Sylvie Chevret; Norbert Ifrah; Hervé Dombret
Journal:  Blood       Date:  2015-04-15       Impact factor: 22.113

3.  Novel gene targets detected by genomic profiling in a consecutive series of 126 adults with acute lymphoblastic leukemia.

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Journal:  Haematologica       Date:  2014-09-26       Impact factor: 9.941

4.  Prognostic value of rare IKZF1 deletion in childhood B-cell precursor acute lymphoblastic leukemia: an international collaborative study.

Authors:  J M Boer; A van der Veer; D Rizopoulos; M Fiocco; E Sonneveld; H A de Groot-Kruseman; R P Kuiper; P Hoogerbrugge; M Horstmann; M Zaliova; C Palmi; J Trka; E Fronkova; M Emerenciano; M do Socorro Pombo-de-Oliveira; W Mlynarski; T Szczepanski; K Nebral; A Attarbaschi; N Venn; R Sutton; C J Schwab; A Enshaei; A Vora; M Stanulla; M Schrappe; G Cazzaniga; V Conter; M Zimmermann; A V Moorman; R Pieters; M L den Boer
Journal:  Leukemia       Date:  2015-07-23       Impact factor: 11.528

5.  Philadelphia-positive acute lymphoblastic leukemia patients already harbor BCR-ABL kinase domain mutations at low levels at the time of diagnosis.

Authors:  Simona Soverini; Antonella Vitale; Angela Poerio; Alessandra Gnani; Sabrina Colarossi; Ilaria Iacobucci; Giuseppe Cimino; Loredana Elia; Annalisa Lonetti; Marco Vignetti; Stefania Paolini; Giovanna Meloni; Valeria di Maio; Cristina Papayannidis; Marilina Amabile; Anna Guarini; Michele Baccarani; Giovanni Martinelli; Robin Foà
Journal:  Haematologica       Date:  2010-12-29       Impact factor: 9.941

Review 6.  The evolving role of chemotherapy and hematopoietic cell transplants in Ph-positive acute lymphoblastic leukemia in adults.

Authors:  M R Litzow; A K Fielding; S M Luger; E Paietta; Y Ofran; J M Rowe; A H Goldstone; M S Tallman; H M Lazarus
Journal:  Bone Marrow Transplant       Date:  2017-06-05       Impact factor: 5.483

7.  Integrated transcript and genome analyses reveal NKX2-1 and MEF2C as potential oncogenes in T cell acute lymphoblastic leukemia.

Authors:  Irene Homminga; Rob Pieters; Anton W Langerak; Johan J de Rooi; Andrew Stubbs; Monique Verstegen; Maartje Vuerhard; Jessica Buijs-Gladdines; Clarissa Kooi; Petra Klous; Pieter van Vlierberghe; Adolfo A Ferrando; Jean Michel Cayuela; Brenda Verhaaf; H Berna Beverloo; Martin Horstmann; Valerie de Haas; Anna-Sophia Wiekmeijer; Karin Pike-Overzet; Frank J T Staal; Wouter de Laat; Jean Soulier; Francois Sigaux; Jules P P Meijerink
Journal:  Cancer Cell       Date:  2011-04-12       Impact factor: 31.743

8.  The role of BCR/ABL isoforms in the presentation and outcome of patients with Philadelphia-positive acute lymphoblastic leukemia: a seven-year update of the GIMEMA 0496 trial.

Authors:  Giuseppe Cimino; Fabrizio Pane; Loredana Elia; Erica Finolezzi; Paola Fazi; Luciana Annino; Giovanna Meloni; Marco Mancini; Alessandra Tedeschi; Francesco Di Raimondo; Giorgina Specchia; Giuseppe Fioritoni; Pietro Leoni; Antonio Cuneo; Cristina Mecucci; Giuseppe Saglio; Franco Mandelli; Robin Foà
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9.  A novel integrated cytogenetic and genomic classification refines risk stratification in pediatric acute lymphoblastic leukemia.

Authors:  Anthony V Moorman; Amir Enshaei; Claire Schwab; Rachel Wade; Lucy Chilton; Alannah Elliott; Stacey Richardson; Jeremy Hancock; Sally E Kinsey; Christopher D Mitchell; Nicholas Goulden; Ajay Vora; Christine J Harrison
Journal:  Blood       Date:  2014-06-23       Impact factor: 22.113

10.  Correlation between deletion of the CDKN2 gene and tyrosine kinase inhibitor resistance in adult Philadelphia chromosome-positive acute lymphoblastic leukemia.

Authors:  Na Xu; Yu-ling Li; Xuan Li; Xuan Zhou; Rui Cao; Huan Li; Lin Li; Zi-yuan Lu; Ji-xian Huang; Zhi-ping Fan; Fen Huang; Hong-sheng Zhou; Song Zhang; Zhi Liu; Hong-qian Zhu; Qi-fa Liu; Xiao-li Liu
Journal:  J Hematol Oncol       Date:  2016-04-18       Impact factor: 17.388

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9.  Gene Deletions and Prognostic Values in B-Linage Acute Lymphoblastic Leukemia.

Authors:  Qiuyun Fang; Yang Song; Xiaoyuan Gong; Jun Wang; Qinghua Li; Kaiqi Liu; Yahui Feng; Qishan Hao; Yan Li; Hui Wei; Guangji Zhang; Yuntao Liu; Benfa Gong; Ying Wang; Chunlin Zhou; Dong Lin; Bingcheng Liu; Shuning Wei; Runxia Gu; Yingchang Mi; Jianxiang Wang
Journal:  Front Oncol       Date:  2021-06-02       Impact factor: 6.244

10.  Newly proposed threshold and validation of white blood cell count at diagnosis for Philadelphia chromosome-positive acute lymphoblastic leukemia: risk assessment of relapse in patients with negative minimal residual disease at transplantation-a report from the Adult Acute Lymphoblastic Leukemia Working Group of the JSTCT.

Authors:  Yu Akahoshi; Yasuyuki Arai; Satoshi Nishiwaki; Takayoshi Tachibana; Akihito Shinohara; Noriko Doki; Naoyuki Uchida; Masatsugu Tanaka; Yoshinobu Kanda; Souichi Shiratori; Yukiyasu Ozawa; Katsuhiro Shono; Yuta Katayama; Junji Tanaka; Takahiro Fukuda; Yoshiko Atsuta; Shinichi Kako
Journal:  Bone Marrow Transplant       Date:  2021-07-30       Impact factor: 5.174

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