From www.bloodjournal.org by guest on September 12, 2016. For personal use only. CLINICAL OBSERVATIONS, INTERVENTIONS, AND THERAPEUTIC TRIALS Hypodiploidy With Less Than 45 Chromosomes Confers Adverse Risk in Childhood Acute Lymphoblastic Leukemia: A Report From the Children’s Cancer Group By Nyla A. Heerema, James B. Nachman, Harland N. Sather, Martha G. Sensel, Mei K. Lee, Raymond Hutchinson, Beverly J. Lange, Peter G. Steinherz, Bruce Bostrom, Paul S. Gaynon, and Fatih Uckun We have determined the prognostic significance of hypodiploidy (F46 chromosomes) in a large cohort of children with acute lymphoblastic leukemia (ALL) treated by the Children’s Cancer Group. Among 1,880 patients, 110 (5.8%) had hypodiploid karyotypes: 87 had 45 chromosomes, 15 had 33 to 44 chromosomes, none had 29 to 32 chromosomes, and 8 had 24 to 28 chromosomes (near-haploidy). Six-year event-free survival (EFS) estimates for patients with 45 chromosomes, 33 to 44 chromosomes, or 24 to 28 chromosomes were 65% (standard deviation [SD], 8%), 40% (SD, 18%), and 25% (SD, 22%), respectively (log rank, P 5 .002; test for trend, P 5 .0009). The combined hypodiploid group had worse outcome than nonhypodiploid patients, with 6-year EFS of 58% (SD, 7%) and 76% (SD, 2%), respectively (P F .0001). EFS for the subgroup with 45 chromosomes was similar to that of patients with pseudodiploidy (P 5 .43) or 47 to 50 chromosomes (P 5 .76). None of the patients with 24 to 28 chromosomes had a t(4;11), a t(9;22), or a t(1;19), and most received highly intensive therapy. The adverse risk associated with 33 to 44 and 24 to 28 chromosomes remained significant in multivariate analyses adjusted for important risk factors including age, white blood cell count, and Philadelphia chromosome status. Thus, hypodiploidy with less than 45 chromosomes, particularly 24 to 28 chromosomes, is a significant adverse risk factor despite treatment with contemporary intensive therapies. r 1999 by The American Society of Hematology. C primarily by age and white blood cell (WBC) count,6 but early response to therapy, as measured by the bone marrow or peripheral blood leukemic blast content, has emerged as an important prognostic variable.7-10 Genetic and biological characteristics, such as the presence of specific chromosomal translocations or fusion transcripts, may provide the tools required for more accurately predicting risk of treatment failure. In addition, further refinement of currently known risk factors may allow better allocation of less or more intensive and potentially toxic therapy to patients with lower or higher risk of failure. Leukemic cell ploidy is a known risk factor for treatment outcome in pediatric ALL: high hyperdiploidy (.50 chromosomes or DNA index .1.16) is associated with improved outcome, whereas a hypodiploid (,46 chromosomes) karyotype is thought to be an adverse risk factor.11-17 Pui et al18 reported particularly poor outcome for patients with nearhaploidy, and similarly, Chessels et al19 reported that hypodiploidy with 24 to 29 chromosomes was a significant independent risk factor for children with ALL. These findings suggested, albeit with small numbers of patients, that subsets of hypodiploid patients may have different treatment outcomes. Therefore, we have examined the prognostic significance of leukemic cell hypodiploidy, including the effect of chromosome number less than 45, in a very large cohort (N 5 1,880) of children with ALL treated on contemporary intensive protocols of the CCG. In both univariate and multivariate analyses, our data indicate that hypodiploid ALL patients with 45 chromosomes have an outcome similar to that of ALL patients with pseudodiploid or low hyperdiploid (47 to 50 chromosomes) ALL, whereas patients with less than 45 chromosomes, particularly those with 24 to 28 chromosomes, achieve poor outcomes despite intensive risk-adjusted therapy. Thus, hypodiploid ALL is heterogeneous with respect to treatment outcome, and novel therapies should be explored for those with 24 to 28 chromosomes. URRENT CHILDREN’S cancer group (CCG) risk groupadjusted intensive therapies for childhood acute lymphoblastic leukemia (ALL) are expected to result in 6-year eventfree survival (EFS) and survival of greater than 75% and 84%, respectively (Harland Sather, CCG unpublished data). These intensive therapies have overcome many of the clinical features, including organomegaly and leukemic cell lineage, that previously were associated with poor outcome.1-5 Thus, the present challenge is to improve our ability to identify and treat appropriately those patients who will fail these current intensive therapies. Higher and lower risk patients are now identified From the Department of Genetics, Hughes Institute, St Paul, MN; the Department of Pediatric Hematology-Oncology, University of Chicago, Chicago, IL; the Department of Preventive Medicine, University of Southern California, Los Angeles, CA; the Group Operations Center, Children’s Cancer Group, Arcadia, CA; the Department of Pediatric Hematology-Oncology, University of Michigan, Ann Arbor, MI; the Division of Oncology, Children’s Hospital of Philadelphia, PA; the Department of Pediatrics, Memorial Sloan-Kettering Cancer Center, New York, NY; the Department of Hematology-Oncology, Children’s Hospitals and Clinics, Minneapolis, MN; the Department of Pediatric Hematology-Oncology, Children’s Hospital, Los Angeles, CA; and the Children’s Cancer Group ALL Biology Reference Laboratory, Hughes Institute, St Paul, MN. Contributing CCG cytogeneticists are given in the Acknowledgment. Submitted March 17, 1999; accepted August 13, 1999. Supported in part by research grants including CCG Chairman’s Grant No. CA-13539 and CA-60437 from the National Cancer Institute, National Institutes of Health. Address reprint requests to Nyla A. Heerema, PhD, c/o The Children’s Cancer Group, Attention Ms. Lucia Noll, PO Box 60012, Arcadia, CA 91066-6012. The publication costs of this article were defrayed in part by page charge payment. This article must therefore be hereby marked ‘‘advertisement’’ in accordance with 18 U.S.C. section 1734 solely to indicate this fact. r 1999 by The American Society of Hematology. 0006-4971/99/9412-0033$3.00/0 4036 MATERIALS AND METHODS Patients. Diagnosis of ALL required determination of lymphoblast morphology by Wright-Giemsa staining of bone marrow smears, Blood, Vol 94, No 12 (December 15), 1999: pp 4036-4046 From www.bloodjournal.org by guest on September 12, 2016. For personal use only. HETEROGENEITY OF HYPODIPLOID ALL IN CHILDREN 4037 negative lymphoblast staining for myeloperoxidase, and cell surface expression of 2 or more lymphoid differentiation antigens.20 Immunophenotyping was performed centrally in the CCG ALL Biology Reference Laboratory by indirect immunofluorescence and flow cytometry, as previously described.2,20 Patients were classified as B-lineage if $30% of the leukemic cells were positive for CD19 and/or CD24 and less than 30% were positive for 1 or more of the T-cell–associated antigens CD2, CD3, CD5, or CD7. Likewise, patients were classified as T-lineage if $30% of the isolated blasts were positive for 1 or more of the T-cell–associated antigens CD2, CD3, CD5, or CD7 and less than 30% were positive for CD19 and/or CD24. The current study involved children with newly diagnosed ALL enrolled on CCG risk-adjusted protocols between 1988 and 1995. Children 2 to 9 years of age with WBC counts less than 10,000/µL (low-risk ALL) were enrolled on CCG-1881; children 2 to 9 years of age with WBC counts of 10,000 to 49,999/µL or 12 to 23 months of age with WBC counts less than 50,000/µL (intermediate-risk ALL) were enrolled on CCG-1891. After completion of these studies, patients with low- or intermediate-risk ALL were enrolled on a single protocol, CCG-1922, for standard-risk ALL (1 to 9 years of age and WBC counts ,50,000/µL) based on National Cancer Institute (NCI) criteria.6 Children 1 to 9 years of age with WBC counts $50,000/µL or $10 years of age (NCI poor-risk group)6 were assigned to CCG-1882. In addition, children with multiple unfavorable features were enrolled on the CCG-1901 protocol for lymphomatous syndrome ALL.21 Infants less than 12 months of age were excluded from this analysis. All protocols were approved by the NCI and the Institutional Review Boards of the participating CCG-affiliated institutions. Informed consent was obtained from parents, patients, or both, according to the guidelines of the Department of Health and Human Services. EFS and overall survival estimates at 8 years from study entry for the combined group of patients included in this analysis were 74% (standard deviation [SD], 2%) and 82% (SD, 2%), respectively. Cytogenetic analysis. Diagnostic karyotyping of leukemic cells was performed by institutional laboratories before the initiation of therapy. Banded chromosomes were prepared from unstimulated peripheral blood or direct and 24-hour–cultured preparations of fresh bone marrow, as described previously.22 Aberrations were designated according to the ISCN (1995).23 Designation as an abnormal clone required the identification of 2 or more metaphase cells with identical structural abnormalities or extra chromosomes or 3 or more metaphase cells with identical missing chromosomes. Designation as normal required complete analysis of a minimum of 20 banded metaphases from bone marrow only. A minimum of 2 original karyotypes of each abnormal clone or of normal cells were reviewed by at least 2 members of the CCG Cytogenetics Committee. Between 1988 and 1995, a total of 4,986 children were entered on the CCG studies included in this analysis. Among these, 1,880 cases had centrally reviewed and accepted cytogenetic data: 110 cases (6%) were classified as hypodiploid and 1,770 cases (94%) were classified as nonhypodiploid. Classification into ploidy groups was based on the karyotype of the simplest clone. The current cohort of patients with accepted cytogenetic data was similar to concurrently enrolled patients who did not have accepted cytogenetic data with respect to many presenting features, although patients with accepted data were more likely to be white and to have high WBC counts, high platelet and hemoglobin levels, a large mediastinal mass, lymphadenopathy, a T-lineage immunophenotype, Table 1. Recurrent Chromosome Abnormalities Among Hypodiploid Patients Karyotypic Group Abnormality Chromosome loss 27 213 214 220 2X 2Y Dicentric chromosome dic(9;12) dic(9;20) dic(7;9) dic(9;V) Other dicentric Other abnormality del(6q) Abnormal 9p Abnormal 12p Philadelphia chromosome Monosomy 7 Disomy 7 One aberration Two aberrations $Three aberrations Doubling of abnormal clone Numerical abnormality only 24-28 Chromosomes (N 5 8) 33-44 Chromosomes No Dicentric (N 5 13) 33-44 Chromosomes With Dicentric (N 5 2) 45 Chromosomes No Dicentric (N 5 59) 45 Chromosomes With Dicentric (N 5 28) 8 (100) 7 (88) 6 (75) 8 (100) 3 (38) 1 (13) 6 (46) 6 (46) 4 (38) 5 (31) 3 (23) 5 (38) 1 (50) 0 (0) 0 (0) 0 (0) 0 (0) 0 (0) 10 (17) 11 (19) 8 (14) 8 (14) 10 (17) 3 (5) 0 (0) 0 (0) 0 (0) 0 (0) 0 (0) 0 (0) NA NA NA NA NA NA NA NA NA NA 1 (50) 0 (0) 0 (0) 1 (50) 0 (0) NA NA NA NA NA 10 (36) 9 (32) 4 (14) 2 (7) 3 (11) 8* (100) 8* (100) 8* (100) 2 (15) 11 (85) 6 (46) 0 (0) 2 (100) 2 (100) 7 (12) 18 (31) 13 (22) 1 (4) 25 (89) 11 (39) 0 (0) 0 (0) NA† NA† 8 (100) 2 (25) 5 (63) 1 (8) 0 (0) NA† 0 (0) 13 (100) 2 (15) 2 (15) 0 (0) 0 (0) NA† 1 (50) 1 (50) 0 (0) 0 (0) 3 (5) 2 (3) 6 (10) 16 (27) 37 (63) 0 (0) 6 (10) 0 (0) 1 (4) 13 (46) 7 (25) 8 (29) 0 (0) 0 (0) Values are the number of patients with percentages in parentheses. Abbreviation: NA, not applicable. *All monosomies. †By definition, patients with 30 to 44 chromosomes had at least 2 aberrations and patients with 24 to 28 chromosomes had at least 3 aberrations. From www.bloodjournal.org by guest on September 12, 2016. For personal use only. 4038 HEEREMA ET AL and a non-L1 French-American-British (FAB) morphology. However, the actual percentages of patients with or without accepted cytogenetic data in these categories did not appear to differ; thus, the statistical differences may be due to the large sample size. Importantly, various measures of outcome were similar for concurrently enrolled patients with or without accepted cytogenetic data. For example, similar percentages of patients in the 2 groups had M1 (,5% blasts), M2 (5% to 25% blasts), or M3 (.25% blasts) at day 7 of induction therapy (P 5 .50). Greater than 97% of each group achieved remission by the end of induction therapy (P 5 .10), and 6-year EFS estimates were 75% (SD, 2%) and 76% (SD, 1%) for patients with or without accepted data, respectively (P 5 .36). Statistical methods. Analyses were based on patient follow-up through June 20, 1998. Clinical, demographic, and laboratory features of hypodiploid and nonhypodiploid patients were compared using x2 tests for homogeneity of proportions. Outcome was analyzed using life table methods and associated statistics. The primary endpoint examined was EFS from study entry; events included induction failure (nonresponse to therapy or death during induction), leukemic relapse at any site, death during remission, or second malignant neoplasm, whichever occurred first. Patients not experiencing an event at the time of EFS analysis were censored at the time of their last contact. The KaplanMeier24 life table estimate of EFS and its SD25 are provided for selected time points. An approximate 95% confidence interval (CI) can be obtained from the life table estimate 61.96 SDs. Life table comparisons of EFS outcome pattern for patient groups used the log rank statistic.25,26 P values are based on the pattern of outcome across the entire period of patient follow-up; values #.05 are referred to as statistically significant and values between .06 and .10 are considered to have borderline statistical significance. Within the hypodiploid group, we also compared presenting features and outcome for patients with 24 to 28 chromosomes (near-haploidy), 33 to 44 chromosomes, and 45 chromosomes (no patients had 29 to 32 chromosomes). These numerical cutoffs were based on the distinct cytogenetic features found in patients with near-haploidy, as well as on previous reports that such patients have a very poor outcome.18,19 Multivariate analysis of the prognostic effect of hypodiploid status was performed using the Cox regression model.27 Significance levels were based on the likelihood ratio test. The relative risks associated with hypodiploid status were estimated using the exponentiated maximum likelihood coefficient from the multivariate regression analysis. RESULTS Karyotypes of children with hypodiploid ALL. Of the 110 hypodiploid patients, the majority (N 5 87) had 45 chromosomes in the simplest clone. Of the patients with less than 45 chromosomes, 8 were near-haploid with 24 to 28 chromosomes (1 with 24; 1 with 25; 2 with 26; 3 with 27; and 1 with 28); none Table 2. Clinical and Biological Presenting Features for Patients With Hypodiploid ALL Hypodiploid Variable Age (yrs) WBC (3109/L) FAB morphology Immunophenotype NCI Risk Group‡ Philadelphia chromosome Liver Mediastinal mass Lymph nodes Nonhypodiploid* Category 45 Chromosomes (N 5 87) 33-44 Chromosomes (N 5 15) 24-28 Chromosomes (N 5 8) .45 Chromosomes (N 5 1,770) 1-9 $10 ,20 20-49 $50 L1 L1/L2 L2/L1 L2 B-lineage T-lineage CD101 CD102 Standard Poor Positive Negative Normal Moderately enlarged Markedly enlarged Absent Moderately enlarged Markedly enlarged Normal Moderately enlarged Markedly enlarged 60 (69) 27 (31) 45 (52) 17 (20) 25 (29) 61 (70) 4 (5) 13 (15) 9 (10) 52 (93) 4 (7) 63 (9) 6 (91) 42 (48) 45 (52) 6 (7) 81 (93) 42 (48) 44 (51) 1 (1) 85 (98) 0 (0) 2 (2) 41 (47) 42 (48) 4 (5) 9 (60) 6 (40) 8 (53) 4 (27) 3 (20) 10 (67) 2 (13) 1 (7) 2 (13) 8 (80) 2 (20) 7 (64) 4 (36) 6 (40) 9 (60) 1 (7) 14 (93) 6 (40) 7 (47) 2 (13) 14 (93) 0 (0) 1 (7) 11 (73) 3 (20) 1 (7) 5 (63) 3 (38) 4 (50) 1 (13) 3 (38) 4 (50) 1 (13) 1 (13) 2 (25) 6 (100) 0 (0) 6 (100) 0 (0) 4 (50) 4 (50) 0 (0) 8 (100) 7 (87) 1 (13) 0 (0) 7 (87) 1 (13) 0 (0) 1 (13) 5 (63) 2 (25) 1,386 (78) 384 (22) 1,113 (63) 261 (15) 396 (22) 1,368 (78) 152 (9) 103 (6) 123 (7) 1,024 (84) 198 (16) 1,122 (19) 266 (81) 1,101 (62) 669 (38) 37 (2) 1,733 (98) 874 (50) 825 (47) 64 (3) 1,603 (91) 85 (5) 2 (5) 898 (51) 753 (43) 119 (7) P Value† .007; .76 .07; .88 .002; .61 .08; .55 .08; .02 .002; .83 .004; .75 .89; .02 .10; .007 .84; .02 Values are the number of patients with percentages in parentheses. *Nonhypodiploid included 578 normal diploid patients, 496 pseudodiploid patients, 204 low hyperdiploid (47 to 50 chromosomes) patients, and 492 high hyperdiploid (.50 chromosomes) patients. †Global x2 test for homogeneity; the first P value refers to comparison between combined hypodiploid group and nonhypodiploid group and the second P value refers to comparison among hypodiploid subgroups. ‡NCl standard risk 5 1 to 9 years of age with WBC count less than 50,000/µL; NCl poor risk 5 $10 years of age or WBC count $50,000/µL.11 From www.bloodjournal.org by guest on September 12, 2016. For personal use only. HETEROGENEITY OF HYPODIPLOID ALL IN CHILDREN had between 29 and 32 chromosomes; and 15 had 33 to 44 chromosomes (1 with 33; 2 with 34; 1 with 36; 1 with 40; 1 with 42; 1 with 43; and 8 with 44). Six patients with a modal chromosome number of 46 were classified as hypodiploid: 4 cases had Down syndrome with loss of another chromosome; 2 additional cases each had 45 chromosomes in the simplest clone. Recurrent karyotypic aberrations of the hypodiploid patients are summarized in Table 1. A doubling of the hypodiploid clone was seen in 2 patients with 24 to 28 chromosomes and in 2 patients with 33 to 44 chromosomes. The majority (5/8) of patients with 24 to 28 chromosomes had numerical aberrations only, whereas only 2 of 15 patients with 33 to 44 chromosomes (1 with 33 and 1 with 34 chromosomes) lacked structural aberrations. All patients with 24 to 28 chromosomes had disomy of chromosome 21, 4 had disomy 18, and 2 each had disomy 8, 10, or 14. Four of these patients had 2 sex chromosomes (3 were XY and 1 was XX). Among patients with 33 to 44 chromosomes, 7 had monosomy 7, 6 had monosomy 13, 5 had monosomy 20, 4 had monosomy 14, and 8 had monosomy X (3 females and 5 males). Among patients in the subgroups with 33 to 44 and 45 chromosomes, the frequency of specific recurring aberrations differed among subsets with and without a dicentric chromosome. Among those with 45 chromosomes, dic(9;12), dic(9;20), dic (7;9), and dic(9;V) were particularly common. Six patients with 45 chromosomes had numerical abnormalities only (1 had Fig 1. EFS for hypodiploid and nonhypodiploid ALL subgroups. Probabilities for patients with normal diploidy (N 5 578); pseudodiploidy (N 5 496); low hyperdiploidy (47 to 50 chromosomes, N 5 204); high hyperdiploidy (G50 chromosomes, N 5 492); 45 chromosomes (N 5 87); 33 to 44 chromosomes (N 5 12); or I28 chromosomes (N 5 11). 4039 a constitutional structural abnormality): 2X, 1 patient; 218, 1 patient; 27, 1 patient; 222, 1 patient; and 220, 2 patients. In contrast, only 2 patients in the group with 33 to 44 chromosomes had dicentric chromosomes. Thirteen patients with 33 to 44 chromosomes had structural aberrations, and 8 patients were missing a sex chromosome (2X, 3 patients; and 2Y, 5 patients). Among the combined group of patients with 33 to 45 chromosomes, monosomies, particularly of chromosomes 7 (N 5 17) and 13 (N 5 17), were frequent in patients lacking a dicentric chromosome. Four of the 7 patients with a Philadelphia chromosome (Ph) also had monosomy 7. In addition to the 17 patients with monosomy 13, 6 patients had partial deletions of 13q (data not shown). Monosomy of chromosome 14, which has not been reported previously, and monosomy of chromosome 20 also were relatively frequent, occurring in 12 and 13 patients, respectively. Other abnormalities that occurred frequently among all hypodiploid patients included an abnormal chromosome arm 9p, an abnormal chromosome arm 12p, a deletion of chromosome arm 6q, and a Ph. Many patients in the 33 to 44 or 45 chromosome group had 2 or more abnormalities. Constitutional structural abnormalities were observed in 7 patients, including the 4 cases with Down syndrome as well as 3 patients with a modal chromosome number of 45: 1 had inv(1)(q23q32), 1 had t(3;17)(q25;q23), and 1 had t(10;13)(q26;q21). From www.bloodjournal.org by guest on September 12, 2016. For personal use only. 4040 Clinical and biological features of children with hypodiploid ALL. Distinguishing characteristics of hypodiploid patients at presentation are shown in Table 2. Hypodiploid patients were more likely than nonhypodiploid patients to be $10 years of age (P 5 .007), to be classified as poor risk by NCI criteria (P 5 .002), to have L2/L1 or L2 FAB morphology (P 5 .002), or to have a Ph (P 5 .004). Comparison of the frequencies of WBC count and T-lineage and CD101 immunophenotypes reached borderline significance. No statistically significant differences were observed for other laboratory or clinical parameters, including sex, race, organomegaly, platelet or hemoglobin levels, or presence of central nervous system (CNS) disease, HEEREMA ET AL t(4;11), t(1;19), or Down syndrome (data not shown). Within the hypodiploid group, patients in each of the subgroups were generally similar with respect to their presenting features, except that those with 24 to 28 chromosomes were less likely to have hepatomegaly (P 5 .02) and more likely to have enlarged lymph nodes (P 5 .02) and be CD101 (P 5 .02); those with 45 chromosomes were less likely to have a mediastinal mass (P 5 .007). Treatment outcome. Early treatment response was similar for the 101 hypodiploid and 1,408 nonhypodiploid patients with a marrow evaluation on day 7 of induction chemotherapy: 75% of each group achieved a rapid response (M1 or M2 marrow Fig 2. EFS for patients with less than 45 chromosomes and H45 chromosomes according to NCI risk classification.11 (A) NCI standard risk (1 to 9 years of age with WBC counts F50,000/mL). (B) NCI poor risk (H10 years of age or WBC counts H50,000/mL). (Inset) Number of patients remaining in follow-up. From www.bloodjournal.org by guest on September 12, 2016. For personal use only. HETEROGENEITY OF HYPODIPLOID ALL IN CHILDREN status) and 25% were slow responders (M3 marrow status). Within the hypodiploid subgroups, 80 patients with 45 chromosomes, 15 patients with 33 to 44 chromosomes, and 6 patients with 24 to 28 chromosomes underwent a day-7 marrow evaluation. A rapid early response was achieved by 75% of those with 45 chromosomes, 80% of those with 33 to 44 chromosomes, and 67% of those with 24 to 28 chromosomes, although the comparison did not reach statistical significance (P 5 .81). Nearly all hypodiploid and nonhypodiploid patients ($97% in each group) achieved remission by the end (day 28) of induction chemotherapy (P 5 .68). Within the hypodiploid subgroups, 97% of patients with 45 chromosomes and 100% of those with either 33 to 44 chromosomes or 24 to 28 chromosomes achieved remission by day 28 (P 5 .95). EFS was significantly different between hypodiploid patients and nonhypodiploid patients, with 6-year estimates of 58% (SD, 7%) and 76% (SD, 2%), respectively (log rank, P , .0001). Overall survival for hypodiploid and nonhypodiploid patients also was significantly different, with 6-year estimates of 67% (SD, 7%) and 84% (SD, 1%), respectively (log rank, P , .0001). Within the hypodiploid group, we observed a significant trend for progressively worse outcome with decreasing chromosome number, with 6-year EFS of 65% (SD, 8%), 40% (SD, 18%), and 25% (SD, 22%) for the 3 groups, respectively (Fig 1; log rank, P 5 .002; test for trend, P 5 .0009). By comparison, patients with normal diploidy, pseudodiploidy, low hyperdiploidy (47 to 50 chromosomes), and high hyperdiploidy (.50 chromosomes) had 6-year EFS of 81% (SD, 2%), 70% (SD, 3%), 66% (SD, 6%), and 80% (SD, 3%), respectively (Fig 1). Notably, the subgroup of hypodiploid patients with 45 chromosomes had an EFS outcome similar to that of patients with either pseudodiploidy (P 5 .43) or low hyperdiploidy (P 5 .76). Overall survival also was significantly different for the 3 hypodiploid subgroups, with 6-year estimates of 72% (SD, 7%), 47% (SD, 15%), and 50% (SD, 35%), respectively (log rank, P 5 .02; test for trend, P 5 .01). Among patients classified as NCI standard risk (1 to 9 years of age with WBC counts ,50,000/µL), those with less than 45 chromosomes had significantly worse EFS outcome than those with $45 chromosomes, with estimates of 30% (SD, 15%) and 79% (SD, 2%), respectively (P , .0001; Fig 2A). Similarly, among patients classified as NCI poor risk (age $10 years or WBC $50,000/µL), those with less than 45 chromosomes had significantly worse EFS outcome than those with $45 chromosomes, with estimates of 39% (SD, 21%) and 69% (SD, 3%), respectively (P 5 .002; Fig 2B). Furthermore, among patients with less than 45 chromosomes, the outcome of high-risk patients, all of whom received highly intensive chemotherapy, was not significantly different from that of standard-risk patients (P 5 .79). Ten hypodiploid patients with 45 chromosomes had a dic(9;12), and there was a trend for improved outcome (relative risk 5 .55) among this group, with all events occurring within 2.5 years of diagnosis. However, log rank analysis showed similar outcome for these patients and other patients with 45 chromosomes, with 6-year EFS of 78% (SD, 18%) and 63% (SD, 9%), respectively (P 5 .40). Overall survival also 4041 was similar for the 2 subsets (P 5 .70). Nine hypodiploid patients with 45 chromosomes had a dic(9;20). Outcome for these patients was similar to that of other patients with 45 chromosomes, with 6-year EFS of 63% (SD, 22%) and 65% (SD, 9%), respectively (P 5 .93). Overall survival also was similar for these 2 groups (P 5 .83). There were a total of 405 events in the nonhypodiploid group, 28 events in the group with 45 chromosomes, and 15 events in the group with less than 45 chromosomes (Table 3). The most common event in all 3 groups was a relapse involving the marrow, either isolated or combined with relapse at another site. Relapses involving the marrow were significantly more frequent among the hypodiploid subgroup with less than 45 chromosomes than in patients with 45 chromosomes (P 5 .001). Other types of events, including extramedullary relapses, occurred with similar frequency in these 2 groups. The poorer outcome of the 23 patients with less than 45 chromosomes prompted us to examine their clinical and biological characteristics and treatment in more detail. The majority of these patients had B-lineage, CD101 ALL, and none of the patients in the 24 to 28 modal number subgroup had a Ph, a t(4;11), a t(1;19), CNS disease at diagnosis, or Down syndrome. Only 1 patient in the 33 to 44 modal number group was Ph1. Most patients with 24 to 28 chromosomes lacked marked organomegaly, and only 1 patient had a mediastinal mass. Karyotypes, race, NCI risk group, and outcome for the 23 patients with less than 45 chromosomes are shown in Table 4. Nearly all of these patients were white; 10 of the 23 patients (4 with modal number 24 to 28 and 6 with modal number 33 to 44) were classified as NCI standard risk and 13 patients (4 with Table 3. Frequency and Type of First Events for Hypodiploid and Nonhypodiploid Patients Event Type Marrow relapse Isolated Combined Total* Other event† CNS relapse, isolated Testicular relapse, isolated Other relapse Second malignancy Induction failure or death in induction Death in remission Total Total events NonHypodiploid Hypodiploid Hypodiploid hypodiploid 24-28 33-44 45 (N 5 1,770) (N 5 8) (N 5 15) (N 5 87) 11 (13) 3 (3) 14 (16) 8 (53) 0 (0) 8 (53) 3 (38) 1 (13) 4 (50) 206 (12) 23 (1) 229 (13) 5 (6) 0 (0) 1 (13) 69 (4) 2 (2) 0 (0) 0 (0) 0 (0) 0 (0) 0 (0) 0 (0) 0 (0) 0 (0) 17 (1) 11 (1) 7 (0) 3 (3) 4 (5) 14 (16) 0 (0) 1 (7) 1 (7) 0 (0) 1 (13) 2 (18) 30 (2) 42 (2) 176 (10) 28 9 6 405 Values are the number of patients. The percentage of all patients for given group is in parentheses. *Any relapse involving the marrow, alone or in combination with relapse at another site. †All events other than a relapse involving the marrow. From www.bloodjournal.org by guest on September 12, 2016. For personal use only. 4042 HEEREMA ET AL Table 4. Clinical Characteristics, Karyotypes, and Outcome for Patients With Less Than 45 Chromosomes Patient No. Modal Chromosome Number 1 2 3 4 5 6 24 25 26 26 27 27 White White White White White Black Standard Standard Poor Poor Standard Poor 7 8 9 27 28 33 Other* White White Poor Standard Poor 10 34 Hispanic Poor 11 34 White Poor 12 36 White Poor 13† 40 White Poor 14‡ 42 White Standard 15 43 White Poor 16 44 White Standard 17 18 19 44 44 44 White White Hispanic Standard Poor Standard 20 44 White Poor 21 44 White Poor 22 44 Black Standard 23 44 White Standard NCI Risk Group Race Karyotype Outcome 24,X,121/48,idem,x2/46,XX 25,X,2Y,114,121/46,XY 26,X,1Y,114,121/46,XY 26,XY,1del(5)(q13q33),121/52,idem,x2 27,X,1X,118,121,1mar/46,XX 27,X,1Y,1del(13)(q1?4q2?2),118,121/ 27,idem,2del(13)(q1?4q2?2), 1dup(13)(q1?3q1?4)/46,XY 27,X,18,110,118,121/46,XX 28,X,18,19,110,118,121/46,XX 3371n8,X,11,12,13,16,17,18,110,111,112,115, 116,222/46,XY 3471n8,X,1Y,11,15,16,18,110,111,118,119,121, 122/46,XY 3471n8,X,11,15,16,inv(7)(p1?5q11.2),18,110,111, 113,114,119,121,122/6973n8,XX,2X,11,22, 23,24,15,16, inv(7)(p1?5q11.2),29,111,212, 113,114,215, 216,217,218,119,120,121, 122/46, XX 36,XX,23,24,25,27,29,213,215,216,217,217, 220,1mar/72,idemx2/46, XX 40,X,2Y,23,der(4)t(3;4)(p21;p16),27,29,215,216, 217,218,12mar/46, XY 42,XY,23,25,der(6)t(6;7)(p25; q11.2),27,add(8)(p21),der(9)t(9;12) (p22;p13) t(9;22)(q34;q11),der(12)t(9;12)(p22;p13),213, der(15;17) (q10;q10),add(22)(p11),1mar/46,XY 43,X,2X,add(1)(p3?4),t(2;12)(p21;p13),27,t(7; 9)(p13;p22),add(12)(p11), 215/46,XX 44,XX,der(2)t(2;7)(q31;p15),27,psudic(9;16)(p2?2; p1?1.2),der(12)t(7;12)(q1?1.2;p11.2)/45, idem,1mar/46,XX 44,X,2Y,add(12)(p11),213/46,XY 44,X,2X,26,der(9)t(6;9)(p11.1;p13)/46,XX 44,XY,add(1)(q4?),del(2)(p1?),add(6)(p21),add(11) (p11.1),?i(12)(p10)x2, 214,220,221,1mar/46,XY 44,X,2Y,der(6)del(6)(p22)del(6)(q12),i(9)(q10), der(12)t(12;14)(p1?3;q11.2 ),214,add(14)(q32), add(16)(p13)/46,XY 44,XX,der(4)t(4;18)(p1?5; q11,21),add(9)(p13),218,220/46,XX 44,X,2Y,add(9)(p22),del(11)(q2?1q2?3),213,add(17) (p1?3),der(19)t(1;19) (q23;p13)/46,XY 44,XY,dic(9;12)(p11;p12),215 Alive postrelapse Died postrelapse Died in first remission Died after a postrelapse BMT Alive, event-free Alive, event-free after a BMT in first remission Alive postrelapse Died postrelapse Alive, event-free Died postrelapse Died after a postrelapse BMT Alive, event-free Alive, event-free Died post-2nd relapse, after a first remission BMT Died, postrelapse Alive, postrelapse Alive, event-free Alive, event-free Alive, event-free Died in first remission Died postrelapse Died postrelapse Died postrelapse *Race other than white, black, or hispanic. †Bone marrow transplant in remission. ‡Ph1 patient. modal number 24 to 28 and 9 with modal number 33 to 44) were classified as NCI poor risk. Specific karyotypic features for these 23 patients were summarized above (Table 1) and are shown in Table 4 for comparison with outcome and other features. Of the 8 patients with 24 to 28 chromosomes, half are survivors. Two of the 4 patients are alive after a relapse, and 2 are alive event-free for 5 and 9 years; 1 of the event-free survivors underwent bone marrow transplantation in first remission. Of the 4 patients who died, 1 died after a postrelapse bone marrow transplant, 1 died in remission, and 2 died after a relapse. Because of the small number of patients in the group with modal number of 24 to 28 chromosomes, we were unable to identify differences in treatment that could account for their poor outcome. Half of the 8 patients with modal number of 24 to 28 chromosomes were treated on protocols for higher risk ALL, indicating that, regardless of specific regimen, they would have received relatively intensive therapy. No obvious associations were noted between karyotype and outcome for these patients with modal number 24 to 28. From www.bloodjournal.org by guest on September 12, 2016. For personal use only. HETEROGENEITY OF HYPODIPLOID ALL IN CHILDREN Among the 15 patients with 33 to 44 chromosomes, 7 are survivors. Six of these 7 patients remain event-free for 3 to 6 years after study entry; 1 of these event-free survivors underwent bone marrow transplantation in first remission. One patient is alive 2 years after a relapse. Of the 8 patients who died, 1 died in first remission and the other 7 died after a relapse. Five of the 7 were in postrelapse remission at the time of death. One of the 7 patients had Ph1 ALL, underwent bone marrow transplant in first remission, and died after a second marrow relapse. Another patient died after a postrelapse bone marrow transplant. No obvious associations were noted between karyotype and outcome for these patients with modal number 33 to 44. In addition to the 5 hypodiploid patients with less than 45 chromosomes who underwent bone marrow transplantation, 5 hypodiploid patients with 45 chromosomes also had a transplant. Two patients who had a transplant after a relapse remain alive 2.5 and 3 years posttransplant (6.7 and 8.5 years after study entry); the other 3 (1 had a transplant in remission and 2 had transplants after a relapse) died. Multivariate analysis. The independent significance of hypodiploidy with less than 45 chromosomes relative to hypodiploidy with 45 chromosomes or nonhypodiploidy was determined using a multivariate analysis. Significant factors identified by stepwise regression for inclusion in the multivariate analysis model included age, WBC count, spleen size, race, and Ph status. Using this model, hypodiploidy for all patients with less than 45 chromosomes remained a significant adverse risk factor for EFS: relative to the nonhypodiploid group, estimated relative risks and their 95% CI were 1.53 (1.04, 2.25), 3.34 (1.65, 6.74), and 5.72 (2.53, 12.95) for patients with 45 chromosomes, 33 to 44 chromosomes, or 24 to 28 chromosomes, respectively (P , .0001). DISCUSSION We have assessed the prognostic significance of hypodiploidy in a very large cohort of children with ALL. As has been observed previously,16 the majority (79%) of hypodiploid patients had 45 chromosomes, whereas the remainder had less than 45 chromosomes. Most patients had multiple cytogenetic abnormalities, particularly dicentrics, monosomies, and abnormalities of 6q, 9p, and 12p. In contrast to their counterparts with 33 or more chromosomes, hypodiploid patients with 24 to 28 chromosomes generally had numerical, rather than structural abnormalities (see below). Although hypodiploid patients were more likely than their nonhypodiploid counterparts to have some unfavorable characteristics, presenting features were generally similar within the hypodiploid subgroups; approximately half of all hypodiploid patients were classified as poor risk by NCI criteria. Similar to previous reports,16,18 our results indicate that patients whose leukemic cells have a hypodiploid karyotype have a poorer EFS and survival compared with nonhypodiploid patients. Notably, however, our data demonstrate that hypodiploid patients with 45 chromosomes have EFS and survival 4043 outcomes similar to those of patients with pseudodiploidy or low hyperdiploidy (47 to 50 chromosomes), whereas patients with less than 45 chromosomes have significantly worse outcome. Moreover, there was a significant trend for progressively worse outcome with decreasing chromosome number: patients with 45 chromosomes had the best outcome, patients with 33 to 44 chromosomes had intermediate outcome, and patients with 24 to 28 chromosomes had the worst outcome. Interestingly, the poor outcome of hypodiploid patients with less than 45 chromosomes was due to an excess of marrow relapses rather than to high rates of CNS or other extramedullary relapses. The poorer outcome for patients with less than 45 chromosomes also was observed for patients regardless of NCI risk classification. In addition, the prognostic effects of hypodiploidy with 33 to 44 or 24 to 28 chromosomes were maintained in a multivariate analysis adjusted for important risk factors, including age, WBC count, and Ph status. These findings indicate that leukemic cell hypodiploidy comprises a heterogeneous group of patients with respect to clinical features at diagnosis and treatment outcome. The 8 patients with 24 to 28 chromosomes (near-haploidy) represent a unique subgroup of ALL patients who lack certain adverse risk factors: the majority are white with B-lineage, CD101 ALL, and lack CNS disease, t(9;22), t(1;19), or t(4;11), but have a poor outcome due to high rates of marrow relapse. Two of these patients had a second abnormal cell line with twice the number of chromosomes seen in the near-haploid clone; 5 had numerical abnormalities only. Disomies of the sex chromosomes as well as autosomes 21, 18, 14, 10, and 8 were frequent. Previous studies also noted a high frequency of numerical abnormalities and, in cases with nearhaploidy, the presence of a second abnormal cell line with twice the number of chromosomes found in the near-haploid clone.11 In one of the larger series previously studied, Pui et al16 reported that 31 patients with 45 or fewer chromosomes had worse outcome than patients in other ploidy groups, although the significance of this difference was not maintained in a multivariate analysis. In a later study, Pui et al18 reported that hypodiploid patients with fewer than 45 chromosomes, including those with near-haploidy, had significantly worse outcome than patients in all other ploidy groups, suggesting that the precise number of chromosomes may be an important determinant of risk. More recently, Chessells et al19 reported that hypodiploidy with 24 to 29 chromosomes was a significant and independent risk factor for children treated on the Medical Research Council (MRC) United Kingdom ALL group (UKALL) protocol X. Our data confirm and extend these previous reports by demonstrating that hypodiploidy in ALL comprises a heterogeneous group with respect to treatment outcome, with progressively worse outcome for those with 45, 33 to 44, and 24 to 28 chromosomes. Patients in the subgroup with 24 to 28 chromosomes represent a subset of ALL patients with a particularly poor outcome. These findings suggest that novel treatment programs are warranted for children with ALL and a hypodiploid leukemic cell karyotype with 24 to 28 chromosomes. From www.bloodjournal.org by guest on September 12, 2016. For personal use only. 4044 HEEREMA ET AL ACKNOWLEDGMENT Contributing Cytogeneticists Investigator A.A. Al Saadi D.C. Arthur H. Aviv B.L. Barnoski P. Benn R. Best D.S. Borgaonkar C. Bradley A. Brothman M.G. Butler Z. Chen H. Chen P.D. Cotter A.J. Dawson G. Dewald Y.-S. Fan P.A. Farber A.B. Glassman T.W. Glover W. Golden S. M. Golin D. Harris N.A. Heerema R. Higgins J.V. Higgins B. Hirsch D.K. Kalousek M.M. LeBeau C. Lee K. Leppig S. Lewis W.D. Loughman C.B. Lozzio R.E. Magenis L. McGavran L.E. McMorrow A. Milatovitch T.K. Mohandas B. Mouron A. Murch P. Nowell K. Opheim L. Pasztor S. Patil C. Pehl M.A. Perle A. Pettigrew C. Phillips K. Rao K.E. Richkind K.N. Rosenbaum D. Roulston C. Sandlin W.G. Sanger K.L. Satya-Prakash S. Schwartz G.S. Sekhon S. Sheldon S. Soukup R. Sparkes R. Stallard W.S. Stanley J. Stone P. Storto K.S. Theil B. Torchia D. Van Dyke N.V. Vigfusson D. Warburton J.R. Waterson S.L. Wenger G. Williams K.-L. Yin C.W. Yu T. Zadeh M.C. Zapata S. Zneimer Institution William Beaumont Hospital, Royal Oak, MI University of Minnesota, Minneapolis, MN University of Medicine and Dentistry, Newark, NJ University Medical Center, Camden, NJ University of Connecticut Health Center, Farmingham, CT Richland Memorial Hospital, Columbia, SC Medical Center of Delaware, Wilmington, DE Children’s Hospital and Medical Center, Seattle, WA University of Utah, Salt Lake City, UT Vanderbilt University, Nashville, TN Genzyme Genetics, Scottsdale, AZ Louisiana State University Medical Center, Shreveport, LA Children’s Hospital, Oakland, CA Cytogenetics/HSC, Winnepeg, MB, Canada Mayo Clinic, Rochester, MN London Health Science Centre, London, ON, Canada Geisinger Medical Center, Danville, PA M.D. Anderson Cancer Center, Houston, TX University of Michigan, Ann Arbor, MI Rainbow Babies & Children’s Hospital, Cleveland, OH University of Pittsburgh, Pittsburgh, PA Children’s Mercy Hospital, Kansas City, MO Indiana University, Indianapolis, IN Children’s Mercy Hospital, Kansas City, MO Butterworth Hospital, Grand Rapids, MI University of Minnesota, Minneapolis, MN British Columbia Children’s Hospital, Vancouver, BC, Canada University of Chicago, IL Izaak Walton Killam Children’s Hospital, Halifax, NS, Canada University of Washington, Seattle, WA Scottish Rite Children’s Hospital, Atlanta, GA Children’s Hospital, Oakland, CA University of Tennessee Medical Center, Knoxville, TN Oregon Health Sciences Center, Portland, OR Children’s Hospital of Denver, CO University of Medicine & Dentistry, Newark, NJ Children’s Hospital and Medical Center, Cincinnati, OH Harbor/University of California Los Angeles Medical Center, Torrance, CA Children’s Mercy Hospital, Kansas City, MO King Edward Memorial Hospital, Perth, Australia Children’s Hospital of Philadelphia, PA Children’s Hospital and Medical Center, Seattle, WA Children’s Mercy Hospital, Kansas City, MO University of Iowa, Iowa City, IA Loma Linda University, Redlands, CA New York University Medical Center, New York, NY University of Kentucky, Lexington, KY Emory University Hospital, Atlanta, GA University of North Carolina, Chapel Hill, NC Genzyme Genetics, Santa Fe, NM Children’s Hospital National Medical Center, Washington, DC University of Chicago, IL Memorial Genetics Center, Long Beach, CA University of Nebraska, Omaha, NB Medical College of Georgia, Augusta, GA Rainbow Babies & Children’s Hospital, Cleveland, OH University of Wisconsin, Madison, WI University of Michigan, Ann Arbor, MI Children’s Hospital and Medical Center, Cincinnati, OH University of California, Los Angeles, CA Rainbow Babies & Children’s Hospital, Cleveland, OH Genetics and IVF Institute, Fairfax, VA and Children’s Hospital National Medical Center, Washington, DC Genetrix, Inc, Scottsdale, AZ Michigan State University, Lansing, MI Children’s Hospital of Columbus, OH Western Reserve Healthcare, Youngstown, OH Henry Ford Health System, Detroit, MI Sacred Heart Medical Center, Spokane, WA Columbia Presbyterian College of Physicians & Surgeons, New York, NY Children’s Hospital Medical Center, Akron, OH University of Pittsburgh, PA Manitoba Cancer Foundation, Winnepeg, MB, Canada Children’s Hospital of Los Angeles, CA Valley Children’s Hospital, Fresno, CA Genetics Center, Orange, CA Children’s Medical Center, Dayton, OH Kaiser-Permanente, San Jose, CA From www.bloodjournal.org by guest on September 12, 2016. For personal use only. HETEROGENEITY OF HYPODIPLOID ALL IN CHILDREN REFERENCES 1. Uckun F, Reaman G, Steinherz P, Arthur D, Sather H, Trigg M, Tubergen D, Gaynon P: Improved clinical outcome for children with T-lineage acute lymphoblastic leukemia after contemporary chemotherapy: A Children’s Cancer Group Study. Leuk Lymphoma 24:57, 1996 2. Uckun FM, Sather HN, Gaynon PS, Arthur DC, Trigg ME, Tubergen DG, Nachman J, Steinherz PG, Sensel MG, Reaman GH: Clinical features and treatment outcome of children with myeloid antigen positive acute lymphoblastic leukemia: A report from the Children’s Cancer Group. Blood 90:28, 1997 3. Nachman JB, Sather HN, Sensel MG, Trigg ME, Cherlow JM, Lukens JN, Wolff L, Uckun FM, Gaynon PS: Augmented post-induction therapy for children with high-risk acute lymphoblastic leukemia and a slow response to initial therapy. N Engl J Med 338:1663, 1998 4. Nachman J, Sather HN, Cherlow JM, Sensel MG, Gaynon PS, Lukens JN, Wolff L, Trigg ME: Response of children with high-risk acute lymphoblastic leukemia treated with and without cranial irradiation: A report from the Children’s Cancer Group. J Clin Oncol 16:920, 1998 5. Steinherz PG, Gaynon PS, Breneman JC, Cherlow JM, Grossman NJ, Kersey JH, Johnstone HS, Sather HN, Trigg ME, Uckun FM, Bleyer WA: Treatment of patients with acute lymphoblastic leukemia with bulky extramedullary disease and T-cell phenotype or other poor prognostic features: Randomized controlled trial from the Children’s Cancer Group. Cancer 82:600, 1998 6. Smith M, Arthur D, Camitta B, Carroll AJ, Crist W, Gaynon P, Gelber R, Heerema N, Korn EL, Link M, Murphy S, Pui CH, Pullen J, Reaman G, Sallan SE, Sather H, Shuster J, Simon R, Trigg M, Tubergen D, Uckun F, Ungerleider R: Uniform approach to risk classification and treatment assignment for children with acute lymphoblastic leukemia. J Clin Oncol 14:18, 1996 7. Gaynon PS, Desai AA, Bostrom BC, Hutchinson RJ, Lange BJ, Nachman JB, Reaman GH, Sather HN, Steinherz PG, Trigg ME, Tubergen DG, Uckun FM: Early response to therapy and outcome in childhood acute lymphoblastic leukemia: A review. Cancer 80:1717, 1997 8. Gajjar A, Ribeiro R, Hancock ML, Rivera GK, Mahmoud H, Sandlund JT, Crist WM, Pui CH: Persistence of circulating blasts after 1 week of multiagent chemotherapy confers a poor prognosis in childhood acute lymphoblastic leukemia. Blood 86:1292, 1995 9. Gaynon PS, Bleyer WA, Steinherz PG, Finklestein JZ, Littman P, Miller DR, Reaman G, Sather H, Hammond GD: Day 7 marrow response and outcome for children with acute lymphoblastic leukemia and unfavorable presenting features. Med Pediatr Oncol 18:273, 1990 10. Riehm H, Reiter A, Schrappe M, Berthold F, Dopfer R, Gerein V, Ludwig R, Ritter J, Stollmann B, Henze G: Corticosteroid-dependent reduction of leukocyte count in blood as a prognostic factor in acute lymphoblastic leukemia in childhood (therapy study ALL-BFM 83). Klin Padiatr 199:151, 1987 11. Raimondi SC: Current status of cytogenetic research in childhood acute lymphoblastic leukemia. Blood 81:2237, 1993 12. Secker-Walker LM, Chessells JM, Stewart EL, Swansbury GJ, Richards S, Lawler SD: Chromosomes and other prognostic factors in acute lymphoblastic leukaemia: A long-term follow-up. Br J Haematol 72:336, 1989 13. Rivera GK, Raimondi SC, Hancock ML, Behm FG, Pui CH, Abromowitch M, Mirro J Jr, Ochs JS, Look AT, Williams DL, Murphy S, Dahl G, Kalwinsky D, Evans W, Kun L, Simone J, Crist W: Improved outcome in childhood acute lymphoblastic leukaemia with reinforced 4045 early treatment and rotational combination chemotherapy. Lancet 337:61, 1991 14. Gibbons B, MacCallum P, Watts E, Rohatiner AZ, Webb D, Katz FE, Secker-Walker LM, Temperley IJ, Harrison CJ, Campbell RH, Nash R, Broadbent V, Chessels J: Near haploid acute lymphoblastic leukemia: Seven new cases and a review of the literature. Leukemia 5:738, 1991 15. Trueworthy R, Shuster J, Look T, Crist W, Borowitz M, Carroll A, Frankel L, Harris M, Wagner H, Haggard M, Mosijczuk A, Pullen J, Steuber P, Land V: Ploidy of lymphoblasts is the strongest predictor of treatment outcome in B-progenitor cell acute lymphoblastic leukemia of childhood: A Pediatric Oncology Group study. J Clin Oncol 10:606, 1992 16. Pui CH, Williams DL, Raimondi SC, Rivera GK, Look AT, Dodge RK, George SL, Behm FG, Crist WM, Murphy SB: Hypodiploidy is associated with a poor prognosis in childhood acute lymphoblastic leukemia. Blood 70:247, 1987 17. Bloomfield CD, Secker-Walker LM, Goldman AI, Van Den Berghe H, de la Chapelle A, Ruutu T, Alimena G, Garson OM, Golomb HM, Rowley JD, Kaneko Y, Whang-Peng J, Prigogina E, Philip P, Sandberg AA, Lawler SD, Mitelman F: Six-year follow-up of the clinical significance of karyotype in acute lymphoblastic leukemia. Cancer Genet Cytogenet 40:171, 1989 18. Pui CH, Carroll AJ, Raimondi SC, Land VJ, Crist WM, Shuster JJ, Williams DL, Pullen DJ, Borowitz MJ, Behm FG, Look T: Clinical presentation, karyotypic characterization, and treatment outcome of childhood acute lymphoblastic leukemia with a near-haploid or hypodiploid less than 45 line. Blood 75:1170, 1990 19. Chessels JM, Swansbury GJ, Reeves B, Bailey CC, Richards SM: Cytogenetics and prognosis in childhood lymphoblastic leukaemia: Results of MRC UKALL X. Medical Research Council Working Party in Childhood Leukaemia. Br J Haematol 99:93, 1997 20. Uckun FM, Muraguchi A, Ledbetter JA, Kishimoto T, O’Brien R, Roloff JS, Gajl-Peczalska K, Provisor A, Koller B: Biphenotypic leukemic lymphocyte precursors in CD21CD191 acute lymphoblastic leukemia and their putative normal counterparts in human fetal hematopoietic tissues. Blood 73:1000, 1989 21. Steinherz PG, Siegel SE, Bleyer WA, Kersey J, Chard R Jr, Coccia P, Leiken S, Lukens J, Neerhout R, Nesbit M, Miller DR, Reaman G, Sather H, Hammond D: Lymphomatous presentation of childhood acute lymphoblastic leukemia A subgroup at high risk of early treatment failure. Cancer 68:751, 1991 22. Heerema NA, Palmer CG, Baehner RL: Karyotypic and clinical findings in a consecutive series of children with acute lymphocytic leukemia. Cancer Genet Cytogenet 17:165, 1985 23. Mitelman F (ed): ISCN (1995): An International System for Human Cytogenetic Nomenclature. Basel, Switzerland, Karger, 1995 24. Kaplan EL, Meier P: Nonparametric estimation from incomplete observations. J Am Stat Assoc 53:457, 1958 25. Peto R, Pike MC, Armitage P, Breslow NE, Cox DR, Howard SV, Mantel N, McPherson K, Peto J, Smith PG: Design and analysis of randomized clinical trials requiring prolonged observation of each patient, II. Analysis and examples. Br J Cancer 35:1, 1977 26. Mantel N: Evaluation of survival data and two new rank order statistics arising in its consideration. Cancer Chemother Rep 50:163, 1966 27. Cox DR: Regression models and life tables. J R Stat Soc B 34:187, 1972 From www.bloodjournal.org by guest on September 12, 2016. For personal use only. 1999 94: 4036-4045 Hypodiploidy With Less Than 45 Chromosomes Confers Adverse Risk in Childhood Acute Lymphoblastic Leukemia: A Report From the Children's Cancer Group Nyla A. Heerema, James B. Nachman, Harland N. Sather, Martha G. Sensel, Mei K. Lee, Raymond Hutchinson, Beverly J. Lange, Peter G. Steinherz, Bruce Bostrom, Paul S. 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