Abstract
Bone marrow and peripheral blood samples from 362 patients with acute lymphoblastic leukaemia (ALL) proliferating cell and 90 patients with acute myeloid leukaemia (AML) were analysed for S-phase fractions, Ki67 antigen, and proliferating cell nuclear antigen expression. The S-phase fractions were correlated with in vitro drug resistance to 15 different anticancer agents. Leukaemia cells isolated from bone marrow had higher S-phase fractions than leukaemia cells isolated from peripheral blood (in initial ALL, median values resp. 6.9 and 2.7%, in initial AML resp. 5.3 and 1.3%; both P<0.01). Relapse ALL samples derived from bone marrow showed increased S-phase fractions (median 9.9%) compared with initial ALL samples (median 6.9%; P<0.01). ALL samples obtained at initial diagnosis showed higher S-phase fractions (median 6.9%) and higher Ki67 expression (median 30%) than initial AML samples (median resp. 5.3 and 14%; both P<0.05). The S-phase fractions were not related to white blood cell count, age, or gender. Within initial ALL, the S-phase fraction correlated significantly but modestly strong (ρ=0.3–0.5; P<0.05) with sensitivity to antimetabolites (cytarabine, mercaptopurine, thioguanine), L-asparaginase, teniposide, and vincristine. Similar results were found within subgroups of initial ALL (nonhyperdiploid and common/precursor-B-lineage ALL). In relapsed ALL and AML such correlations were not found. In conclusion, cell proliferation differs between leukaemia subgroups and increased proliferation is associated with increased in vitro sensitivity to several anticancer agents in initial ALL.
Similar content being viewed by others
Main
The prognosis of childhood acute leukaemia has improved during the past decades. This has been accomplished by the introduction of refined schedules of combination chemotherapy (Reiter et al, 1994; Pui and Evans, 1998; Stevens et al, 1998; Creutzig et al, 2001). As a consequence of the improved prognosis and risk-adapted treatment, the prognostic significance of a number of parameters at presentation has decreased. At present, the most important prognostic features are age at presentation, white blood cell count, cell morphology, immunophenotype, and genotype (DNA ploidy and certain chromosomal abnormalities) (Creutzig et al, 1990; Kersey, 1997; Pui and Evans, 1999). More recently, in vitro drug resistance (Klumper et al, 1995b; Hongo et al, 1997; Kaspers et al, 1997, 1998; Asselin et al, 1999) and the presence of minimal residual disease (Van Dongen et al, 1998; Eckert et al, 2001; Nyvold et al, 2002) in the course of treatment have shown to be strong independent prognostic factors in childhood acute lymphoblastic leukaemia (ALL).
Contradictory findings have been reported concerning the prognostic value of the S-phase fractions of leukaemia cells. In childhood acute leukaemia, the S-phase fraction has been found to correlate with clinical (prognosis and age) and cell biological features (immunophenotype and genotype) at presentation (Dow et al, 1982; Look et al, 1982; Smets et al, 1983, 1995; Duque et al, 1993; Vidriales et al, 1995; Kamikubo et al, 2000; Braess et al, 2001). A review of the literature stated, however, that the S-phase fractions were not prognostic for treatment response or response duration in acute leukaemia in general (Duque et al, 1993). Nevertheless, others reported that bone marrow S-phase fractions of >6% were shown to be strongly predictive for poor outcome in childhood ALL patients (Dow et al, 1982; Smets et al, 1995). In agreement with these findings, in 204 acute myeloblastic leukaemia (AML) patients, a high number of cells in S phase related to shorter survival (Vidriales et al, 1995) and a low proportion of G0-phase cells during induction chemotherapy correlated with subsequent remission in AML (Kamikubo et al, 2000). In contrast, however, in a recent study with 187 AML samples that were cytogenetically classified into prognostic subgroups, a high proliferative activity was associated with a higher complete remission rate in both the normal (n=99) and unfavourable groups (n=29) (Braess et al, 2001).
It has been demonstrated by others that stimulation of cell proliferation of leukaemia cells by preincubation with growth factors could enhance in vitro sensitivity to cytarabine (Butturini et al, 1990; Bai et al, 1999). This indicates that pretreatment with growth factors as chemosensitising approach may be useful for patients with childhood acute leukaemia. In the present study, it was investigated if cell proliferation of acute childhood leukaemia was related to in vitro drug resistance. This was determined by analysing the correlation between the S-phase fractions and the in vitro resistance to 15 different anticancer agents assessed with the methyl-thiazol–tetrazolium (MTT) assay.
Materials and methods
Peripheral blood and bone marrow samples
The local ethical committee has given its permission to perform this study. Bone marrow and peripheral blood samples were collected with informed consent from a total of 452 children with acute leukaemia. From these patients, 362 were diagnosed as ALL and 90 as AML. From the ALL patients, 213 samples were taken at initial diagnosis and 149 at relapsed disease. For the AML samples, 68 were obtained from patients at initial diagnosis and the remaining 22 samples from relapsed patients. In total, 282 bone marrow and 170 peripheral blood samples were included. This cohort of samples has been used for several studies over the past years, but no data have been reported that were focused on drug resistance in relation to cell proliferation. Six different groups participated in the study: the Dutch Childhood Leukaemia Study Group (DCLSG, Den Haag, The Netherlands); the Sophia Children's Hospital, Rotterdam, The Netherlands; the COALL Study Group (Hamburg, Germany); the ALL-BFM Study Group (Berlin, Germany); the AML-BFM Study Group (Münster, Germany); the Rigshospitalet, Copenhagen, Denmark. Immunophenotyping and DNA index flow cytometry were performed following standard procedures at the reference laboratories of the participating groups. Hyperdiploid samples were defined as having a DNA index between 1.16 and 1.35 (Pui et al, 1990; Smets et al, 1995). B-lineage immunophenotype was defined as HLA-DR+/terminal deoxynucleotidyl transferase (TdT)+/CD19+ ALL and further differentiated as follows: pro-B-ALL (CD10−/cytoplasmic μ chain (cμ)−/surface immunoglobulin (sIg)−), common (c)-ALL (CD10+/cμ−/sIg−) and precursor-B (pre-B)-ALL (CD10+ or CD10−/cμ+/sIg−). T-lineage (T)-ALL was defined by TdT+/cytoplasmic CD3+/CD7+. Patient characteristics (gender, age, white blood cell count at diagnosis) were collected by study centers.
Isolation of leukaemia cells
Within 24 h (and in a few cases within 48 h) after sampling, mononuclear cells were separated by density gradient centrifugation at 480 g for 15 min (Lymphoprep, 1.077 g ml−1, Nycomed Pharma, Oslo, Norway). After washing, the cells were resuspended into culture medium consisting of RPMI 1640 (Dutch modification without L-glutamine; Gibco BRL, Breda, The Netherlands), containing 20% fetal calf serum (FCS; Integro, Zaandam, The Netherlands), 2 mM L-glutamine (ICN Biochemicals, Costa Mesa CA, USA), ITS media supplement (5 μg ml−1 insulin, 5 μg ml−1 transferrin, 5 ng ml−1 sodium selenite) (Sigma, St Louis MO, USA), 80 IU ml−1 penicillin (Gibco BRL Breda, The Netherlands) 80 μg ml−1 streptomycin (Gibco BRL), 0.1 μg ml−1 fungizone (ICN Biomedicals), and 0.2 mg ml−1 gentamycin (Flow Laboratories, Irvine, Scotland). Contaminating lymphocytes were removed using immunomagnetic beads as described previously (Kaspers et al, 1994). This procedure was carried out at room temperature instead of at 37°C in order to avoid phagocytosis of the beads by the myeloid leukaemia cells. Isolated cells were collected in the culture medium. Only samples that contained more than 80% leukaemic cells, as determined by cytospin preparations stained with May–Grünwald–Giemsa (Merck, Darmstadt, Germany) were included. Not from all samples all parameters could be tested because of limited number of cells and/or failing test(s).
Methods used for determination of cell proliferation
Only samples that were taken within 24 h after sampling were used for determination of cell proliferation.
Analysis of S-phase fractions by flow cytometry
Propidium iodide (PI) is a substance that intercalates into double-helical regions of both DNA and RNA molecules. For detection of the DNA content only, isolated leukaemia cells (fixed with 70% ethanol, stored at 4°C) were pretreated with trypsin (T0134, Sigma) for 5 min at room temperature. Subsequently, cells were incubated with ribonuclease A (R4875, Sigma) and trypsin inhibitor (T9253, Sigma) for 10 min at room temperature according to the protocol of Vindelov et al (1983a). Fixed cells were stained with PI (Sigma, St Louis MO, USA) for 15 min on ice. Trout red blood cells, which have a DNA content of 80% of the human diploid value, were used as internal reference (Vindelov et al, 1983b). The intracellular DNA content was determined by the mean fluorescence intensity of gated leukaemia cells and was expressed as the percentage of all cells in the S phase, which was calculated with the Cell Fit software program for DNA cell cycle analysis (Becton and Dickinson, Mountain View, CA). Since only samples that contained more than 80% leukaemic cells were included, it was assumed that aneuploidy of the leukaemia cells did not interfere with the calculation of the S-phase fraction.
Flow cytometric detection of proliferation-associated antigens
Ki67 is a nuclear antigen expressed in all phases of the cell cycle, except in the G0- and early G1-phase. Expression of Ki67 increases with cell cycle progression, and has its maximum expression in late S- and G2-phases. Proliferation cell nuclear antigen (PCNA) is the polymerase delta accessory molecule, which plays a role in nucleotide excision repair, and has its maximum concentration at the S- and late G1-phase. PCNA is a marker of G1-, S-, G2- and M-phases of the cell cycle. However, because of the relatively long half-life time, PCNA may also be detected in cells that are in the G0-phase.
Isolated leukaemia cells were fixed for 15 min by gently dropping ice-cold methanol on the cell pellet at −20°C. Fixed leukaemia cells were washed and incubated for 45 min at room temperature with monoclonal antibodies against Ki67 antigen (1 : 10) (DAKO, Glostrup, Denmark), PCNA (1 : 100) (DAKO), or control IgG1 (1 : 400) (ITK Diagnostics, Uithoorn, The Netherlands) diluted in phosphate-buffered saline (PBS) containing 1% bovine serum albumine (BSA). Subsequently, cells were washed and incubated for 30 min at room temperature with FITC-conjugated rabbit-anti-mouse F(ab′)2 fragments (1 : 50; DAKO) diluted in PBS containing 1% BSA and 2% pooled human serum. After washing, green fluorescence intensity was detected by flow cytometry through a 530/30 nm bandpass filter set (FACScan; Becton and Dickinson, Erembodegem, Belgium). The expression of the proliferation-associated antigens was determined by the mean fluorescence intensity of gated leukaemia cells and was expressed as the percentage of positively stained cells in relation to the total amount of cells. Positively stained cells were defined as cells that showed higher fluorescence intensity as compared to the highest fluorescence intensity of cells that were incubated with control IgG1 (set as marker).
In vitro drug resistance assay
The MTT assay was performed as described previously (Kaspers et al, 1991). In short, isolated leukaemia cells were exposed to six different concentrations of the selected drugs. After 4 days of incubation in 5% CO2 humidified air at 37°C, 3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyl tetrazoliumbromide (Sigma, St Louis MO, USA) was added and cells were incubated for another 6 h. Subsequently, formazan crystals formed were dissolved in acidified isopropanol. The optical density, which appeared linearly related to the number of viable cells (Kaspers et al, 1991), was measured at 562 nm (Bio-Kinetics Reader, Bio-Tek Instruments, Winooski VT, USA). Samples with less than 70% of leukaemia cells in control wells after 4 days of culture and/or an optical density below 0.050 arbitrary units (adjusted for blank values) were considered not valuable and were excluded from the study. The LC50 values, that is, the drug concentration that killed 50% of the cells, were calculated. The in vitro drug resistance was determined for the following 15 drugs: 0.008–8.0 μg ml−1 aclarubicin (Lundbeck A/S, Copenhagen, Denmark), 0.002–2.5 μg ml−1 cytarabine (Pharmacia & Upjohn, Woerden, The Netherlands), 0.002–2 μg ml−1 daunorubicin (Rhône Poulenc Rorer, Amstelveen, The Netherlands), 0.002–6 μg ml−1 dexamethasone disodiumphosphate (Bufa Pharmaceutical Products, Uitgeest, The Netherlands), 0.008–8 μg ml−1 doxorubicin (Pharmacia & Upjohn, Woerdon, The Netherlands), 0.05–50 μg ml−1 etoposide (Bristol-Myers Squib, Woerden, The Netherlands), 0.1–100 μg ml−1 4-hydroperoxy ifosfamide, which is the active metabolite of ifosfamide (Asta-Medica, Diemen, The Netherlands), 0.002–2 μg ml−1 idarubicin (Pharmacia & Upjohn), 0.003–10 IU L-asparaginase (Christiaens, Breda, The Netherlands), 15.6–500 μg ml−1 mercaptopurine (Glaxo Wellcome, Zeist, The Netherlands), 0.001–1 μg ml−1 mitoxantrone (AHP Pharma Weyth Lederle, Hoofddorp, The Netherlands), 0.008–2000 μg ml−1 prednisolone disodiumphosphate (Bufa Pharmaceutical Products), 0.003–8 μg ml−1 teniposide (Bristol-Myers Squib Uitegeest, The Netherlands), 1.56–50 μg ml−1 thioguanine (Glaxo Wellcome, Zeist, The Netherlands), and 0.05–50 μg ml−1 vincristine (Eli Lilly, Houten, The Netherlands).
Statistical data analysis
Differences in the distributions of variables between two groups were analysed by the Mann–Whitney U-test. In order to identify a relation between two variables within one group, the Spearman rank correlation coefficients were calculated. If less than nine samples were available, however, this was considered as too small a number for meaningful analysis. All analyses were two-tailed and differences were considered statistically significant when P⩽0.05. The samples taken at initial diagnoses and the samples taken at relapse are largely unmatched, that is, from different individuals.
Results
Cell proliferation
Peripheral blood vs bone marrow samples
In both ALL and AML samples taken at initial diagnosis, the S-phase fraction was higher in bone marrow than in peripheral blood samples (in initial ALL, median values resp. 6.9 and 2.7%; in initial AML resp. 5.3 and 1.3%; both P<0.01) (Figure 1). Similarly, in ALL samples, but not in AML samples, taken at relapse more leukaemia cells in S-phase were detected in bone marrow as compared with peripheral blood samples (in relapsed ALL, median values resp. 9.9 and 4.9%; P<0.01) (Figure 1). However, no significant differences in Ki67 or PCNA expression were found between bone marrow and peripheral blood samples. In general, the expression of Ki67 antigen varied greatly from patient to patient, whereas the expression of PCNA was generally high in all patients (Figure 2). Since the S-phase fraction differed between the bone marrow and peripheral blood samples, the cell proliferation data were analysed separately for both types of samples. It was decided to further limit the analysis of the cell proliferation data to bone marrow as the site of origin of leukaemia and the main location of minimal residual disease and initial site of relapses. Data on cell proliferation are illustrated in Figure 1 and Figure 2. Taking all bone marrow samples together irrespective of disease, the S-phase correlated both with Ki67 (n=155, ρ=0.32, P<0.01) and PCNA expression (n=152, ρ=0.24, P<0.05), and the Ki67 expression correlated with the PCNA expression (n=176, ρ=0.352, P<0.01).
Initial vs relapsed acute leukaemia
In ALL bone marrow samples from relapsed patients an increased number of cells in S phase was detected when compared with ALL bone marrow samples from initial patients (median values, resp. 9.9 and 6.9%; P<0.01). However, no significant differences in Ki67 and PCNA expression were detected. No differences in cell proliferation parameters were found between initial and relapsed AML. Within the initial ALL samples, the S-phase fractions correlated with both Ki67 (n=62, ρ=0.37; P<0.01) and PCNA expression (n=61, ρ=0.30; P<0.05). In addition, Ki67 expression was related to PCNA expression (n=70, ρ=0.46; P<0.01). In the relapse ALL samples, Ki67 expression was related to the S-phase fraction (n=44, ρ=0.34, P<0.05). Within all AML samples, the S-phase fraction was related to Ki67 expression (n=34, ρ=0.38, P<0.05). However, there was discrepancy between the S-phase fraction and the expression of Ki67 and PCNA in both the initial AML and relapse AML samples, probably because of the low number of samples tested (maximum number of samples tested resp. n=28 and 9). Data are illustrated in Figure 1 and Figure 2.
Acute lymphoblastic vs myeloblastic leukaemia
A higher number of cells in S-phase were detected in initial ALL bone marrow samples compared to initial AML bone marrow samples (median value of 6.9% in ALL and 5.3% in AML; P<0.05). In addition, a higher expression of Ki67 was found in initial ALL samples when compared with initial AML samples (median value of 30% in ALL and 14% in AML; P<0.05). No significant difference between ALL and AML samples was found in the PCNA expression. Comparing the relapse ALL samples with the relapse AML samples, no significant differences were found in the various cell proliferation features. Data are illustrated in Figure 1 and Figure 2.
In vitro drug resistance
In correspondence with our previous data, no differences were found in resistance to any of the drugs between bone marrow and peripheral blood samples (Kaspers et al, 1991; Klumper et al, 1995a). For this reason, the drug resistance data of bone marrow and peripheral blood samples were analysed all together. Drug resistance data obtained in the present study are largely in agreement with previously published findings of our group (Klumper et al, 1995a, 1995b; Zwaan et al, 2000). Summarising, leukaemia cells isolated from ALL patients were significantly more sensitive than those derived from AML patients to 12 out of the 15 drugs: prednisolone, dexamethasone, L-asparaginase, vincristine, daunorubicin, doxorubicin, idarubicin, aclarubicin, mitoxantrone, etoposide, teniposide, and 4-hydroperoxy ifosfamide. The ALL samples taken at initial diagnosis were more sensitive compared with relapse ALL samples to eight out of the 15 drugs: prednisolone, dexamethasone, L-asparaginase, vincristine, daunorubicin, doxorubicin, idarubicin, and thioguanine. For the AML samples, the in vitro drug resistance did not differ significantly between initial and relapse samples, but the numbers were small in the latter group.
Correlation between S-phase fractions and in vitro drug resistance
The S-phase fractions, but not the expression of Ki67 or PCNA, showed differences between bone marrow vs peripheral blood samples as well as between initial vs relapsed ALL. For this reason, it was decided to restrict the correlation data of in vitro drug resistance to S-phase fractions only. However, essentially similar results were found for the other proliferation parameters. All significant correlations that were found between S-phase fractions and drug resistance were inverse, that is, higher S-phase fractions were related to lower LC50 values or a more drug-sensitive phenotype. In ALL samples taken at initial diagnosis increased S-phase fractions correlated with sensitivity to cytarabine, L-asparaginase, mercaptopurine, teniposide, thioguanine, and vincristine (Table 1). For the ALL samples taken at relapsed disease, the S-phase fractions did not correlate with sensitivity to any of the tested drugs (Table 1). Within AML samples taken at initial diagnosis, a correlation was found between the S-phase fraction and sensitivity to dexamethasone (Table 1). Although it has to be mentioned that most AML samples tested were extremely resistant for dexamethasone and the number of tested AML samples for this particular drug was small (n=12). No relations were found between the S-phase fractions and in vitro drug resistance in AML samples taken at relapsed disease, although the number of samples in this group was rather small (Table 1).
Correlation between S-phase fractions and in vitro drug resistance within subgroups of initial ALL
Within the ALL bone marrow samples taken at initial diagnosis, the S phase was not related to white blood cell count, age, or gender. Within the initial ALL samples, the hyperdiploid samples (n=31), defined as having a DNA index between 1.16 and 1.35 (Pui et al, 1990; Smets et al, 1995), had a significantly higher S-phase fraction (median value 7.9%) compared to nonhyperdiploid samples (n=83; median S-phase fraction of 6.3%; P=0.04). Within this hyperdiploid subgroup no correlations were found between S phase and in vitro resistance to any of the tested drugs, probably because of the small numbers of samples that were tested for both parameters (maximum of n=18). Within the nonhyperdiploid subgroup, a higher S phase was significantly related to increased sensitivity to cytarabine (ρ=−0.35; P=0.02), L-asparaginase (ρ=−0.36; P=0.02), mercaptopurine (ρ=−0.44; P=0.003), mitoxantrone (ρ=−0.31; P=0.05), teniposide (ρ=−0.39; P=0.01), and thioguanine (ρ=−0.39; P=0.01) (maximum of n=45 with both parameters available). Within the initial ALL samples, the two major immunophenotypic subgroups, that is, common/precursor-B-lineage (c/pre-B-)ALL, and T-lineage (T-)ALL differed significantly (P=0.02) in S-phase fractions (S-phase fraction of 6.7% (n=83) and 11.3%, respectively (n=11). Within the c/pre-B-ALL, increased sensitivity to both L-asparaginase (ρ=−0.32; P=0.02) and mercaptopurine (ρ=−0.39; P=0.01) was significantly related to a higher S-phase fraction (maximum of n=51 with both parameters available). Within the T-ALL subgroup, the number of samples analysed for both parameters was too small for analysis (n=5).
Discussion
In the present study, cell proliferation of different subgroups of childhood acute leukaemia was defined and correlated with in vitro drug resistance. Bone marrow samples had generally a higher S-phase fraction than blood samples, which is in correspondence with previous findings of Dow et al (1982). The high proliferative activity of bone marrow leukaemia cells might be caused by stimulation with growth factor-producing stromal cells that are present in the patient's bone marrow. This is strengthened by the fact that at the end of the in vitro drug assay, after 4 days of culture without growth factors, no significant differences were detected anymore in the S-phase fractions between the leukaemia cells derived from bone marrow and blood (data not shown).
The S-phase fraction (but not Ki67 and PCNA expression) of relapse ALL samples was significantly higher than that of initial ALL samples. In addition, both the S-phase fraction and Ki67 expression (but not PCNA expression) were significantly higher in childhood ALL than in childhood AML samples, which is in agreement with other findings (Ito et al, 1992). The expression of Ki67 antigen differed greatly from patient to patient whereas the expression of PCNA was generally high in all acute leukaemia patients, which is in accordance with previous reports (Ito et al, 1992; Tsurusawa et al, 1992). The high percentage of cells that were positive for PCNA in all leukaemia subgroups can be explained by the long half-life time of this antigen. In conclusion, PCNA and Ki67 appeared to be less attractive as proliferation markers than the S-phase fraction, since these markers were not able to differentiate the various subgroups of childhood acute leukaemia.
In vitro drug resistance, assessed with the MTT assay, is significantly related to the clinical response to chemotherapy in childhood ALL (Klumper et al, 1995b; Hongo et al, 1997; Kaspers et al, 1997, 1998; Asselin et al, 1999). In addition, in childhood AML clinical outcome and in vitro drug resistance showed to correlate as well (Klumper et al, 1995a). In the present study an increased in vitro sensitivity to antimetabolites (cytarabine, mercaptopurine, thioguanine), L-asparaginase, vincristine, and teniposide was related to a higher S-phase fraction of leukaemia cells isolated from initial childhood ALL patients. In addition, the other proliferative markers (Ki67 and PCNA) were related to the antimetabolites, vincristine, teniposide as well as for the anthracyclins (data not shown). It is understandable that the antimetabolites were related to cell proliferation since these drugs inhibit DNA and RNA synthesis, and are therefore especially effective for cells in S-phase. A relation between high S-phase fraction of leukaemia cells and an increased sensitivity to vincristine or L-asparaginase has not been described before in the literature. Additionally, we found a relation between an increased sensitivity to the epipodophyllotoxin, teniposide, and a higher S-phase fraction. Epipodophyllotoxins are inhibitors of topoisomerase-II-alpha that are expressed in a cell cycle-dependent manner (Kellner et al, 2000). We did not find, however, a relation between the S-phase fraction and sensitivity to anthracyclines that are also known to inhibit topoisomerase-II, although anthracyclins share other action mechanisms also.
Within the initial ALL samples, a correlation between a higher S-phase fraction and an increased sensitivity to various drugs was also observed in the nonhyperdiploid subgroup (cytarabine, L-asparaginase, mercaptopurine, mitoxantrone, teniposide, and thioguanine) as well as in the c/pre-B ALL subgroup (L-asparaginase, mercaptopurine). Moreover, within the initial ALL samples, the S-phase fraction was not related to white blood cell count, age, or gender. These findings further supports the idea that there is a direct relation between cell proliferation and drug sensitivity in childhood ALL at initial diagnosis and that the observed relation not merely reflects a difference in both cell proliferation and in vitro drug sensitivity in the various ALL subgroups. Both in relapse ALL samples and in AML samples, no such relation was found between S-phase fraction and in vitro drug resistance as in the initial ALL samples.
Relapse ALL samples had an increased S-phase fraction and they were more resistant to various drugs than intial ALL samples. Apparently, not only the proliferative status of leukaemia cells accounts for its primary response to a particular drug. Especially for leukaemia cells from relapsed disease, drug-resistant clones may have emerged and for these cells intrinsic cellular resistance probably plays a more important role in the response to drugs than the proliferative status.
An increased proliferative activity may increase the sensitivity to particular drugs, therefore pretreatment with growth factors prior to treatment with these proliferation-dependent drugs may increase the response rate in childhood acute leukaemia. Several studies have indeed demonstrated that the in vitro sensitivity to cytarabine of AML cells could be enhanced by preincubation with granulocyte colony-stimulating factor (G-CSF) and/or with granulocyte–macrophage colony-stimulating factor (GM-CSF) (Butturini et al, 1990; Bai et al, 1999). Clinically, pretreatment with G-CSF (as in the FLAG regimen, which is a combination therapy of fludarabine, cytarabine, and G-CSF), seems to be effective and well tolerated in the treatment of poor-risk AML patients (Montillo et al, 1998; Jackson et al, 2001). The efficacy of this therapy, however, has not yet been determined in a controlled, randomised clinical study. In the present study, especially the S-phase fractions of untreated childhood ALL samples appeared to correlate with the in vitro sensitivity to a number of anticancer agents. In childhood ALL patients pretreatment with growth factors has not been adequately investigated as a chemosensitising approach, but the present data do suggest that this approach may be useful.
Change history
16 November 2011
This paper was modified 12 months after initial publication to switch to Creative Commons licence terms, as noted at publication
References
Asselin BL, Kreissman S, Coppola DJ, Bernal SD, Leavitt PR, Gelber RD, Sallan SE, Cohen HJ (1999) Prognostic significance of early response to a single dose of asparaginase in childhood acute lymphoblastic leukemia. J Pediatr Hematol Oncol 21: 6–12
Bai A, Kojima H, Hori M, Nara N, Komeno T, Hasegawa Y, Ninomiya H, Abe T, Nagasawa T (1999) Priming with G-CSF effectively enhances low-dose Ara-C-induced in vivo apoptosis in myeloid leukemia cells. Exp Hematol 27: 259–265
Braess J, Jahns-Streubel G, Schoch C, Haase D, Haferlach T, Fiegl M, Voss S, Kern W, Schleyer E, Hiddemann W (2001) Proliferative activity of leukaemic blasts and cytosine arabinoside pharmaco-dynamics are associated with cytogenetically defined prognostic subgroups in acute myeloid leukaemia. Br J Haematol 113: 975–982
Butturini A, Santucci MA, Gale RP, Perocco P, Tura S (1990) GM-CSF incubation prior to treatment with cytarabine or doxorubicin enhances drug activity against AML cells in vitro: a model for leukemia chemotherapy. Leuk Res 14: 743–749
Creutzig U, Ritter J, Schellong G (1990) Identification of two risk groups in childhood acute myelogenous leukemia after therapy intensification in study AML-BFM-83 as compared with study AML-BFM-78. AML-BFM Study Group. Blood 75: 1932–1940
Creutzig U, Ritter J, Zimmermann M, Reinhardt D, Hermann J, Berthold F, Henze G, Jurgens H, Kabisch H, Havers W, Reiter A, Kluba U, Niggli F, Gadner H (2001) Improved treatment results in high-risk pediatric acute myeloid leukemia patients after intensification with high-dose cytarabine and mitoxantrone: results of Study Acute Myeloid Leukemia-Berlin-Frankfurt-Munster 93. J Clin Oncol 19: 2705–2713
Dow LW, Chang LJ, Tsiatis AA, Melvin SL, Bowman WP (1982) Relationship of pretreatment lymphoblast proliferative activity and prognosis in 97 children with acute lymphoblastic leukemia. Blood 59: 1197–1202
Duque RE, Andreeff M, Braylan RC, Diamond LW, Peiper SC (1993) Consensus review of the clinical utility of DNA flow cytometry in neoplastic hematopathology. Cytometry 14: 492–496
Eckert C, Biondi A, Seeger K, Cazzaniga G, Hartmann R, Beyermann B, Pogodda M, Proba J, Henze G (2001) Prognostic value of minimal residual disease in relapsed childhood acute lymphoblastic leukaemia. Lancet 358: 1239–1241
Hongo T, Yajima S, Sakurai M, Horikoshi Y, Hanada R . (1997) In vitro drug sensitivity testing can predict induction failure and early relapse of childhood acute lymphoblastic leukemia. Blood 89: 2959–2965
Ito M, Tsurusawa M, Zha Z, Kawai S, Takasaki Y, Fujimoto T (1992) Cell proliferation in childhood acute leukemia. Comparison of Ki67 and proliferating cell nuclear antigen immunocytochemical and DNA flow cytometric analysis. Cancer 69: 2176–2182
Jackson G, Taylor P, Smith GM, Marcus R, Smith A, Chu P, Littlewood TJ, Duncombe A, Hutchinson M, Mehta AB, Johnson SA, Carey P, MacKie MJ, Ganly PS, Turner GE, Deane M, Schey S, Brookes J, Tollerfield SM, Wilson MP (2001) A multicentre, open, non-comparative phase II study of a combination of fludarabine phosphate, cytarabine and granulocyte colony-stimulating factor in relapsed and refractory acute myeloid leukaemia and de novo refractory anaemia with excess of blasts in transformation. Br J Haematol 112: 127–137
Kamikubo KH, Ogata K, An E, Dan K (2000) Low proportion of G0-phase cells during induction chemotherapy correlates with subsequent remission in acute myeloid leukemia. Int J Hematol 71: 249–255
Kaspers GJ, Pieters R, Van Zantwijk CH, De Laat PA, De Waal FC, van Wering ER, Veerman AJP (1991) In vitro drug sensitivity of normal peripheral blood lymphocytes and childhood leukaemic cells from bone marrow and peripheral blood. Br J Cancer 64: 469–474
Kaspers GJ, Pieters R, Van Zantwijk CH, van Wering ER, Van Der Does-Van Den Berg A, Veerman AJP (1998) Prednisolone resistance in childhood acute lymphoblastic leukemia: vitro–vivo correlations and cross-resistance to other drugs. Blood 92: 259–266
Kaspers GJ, Veerman AJP, Pieters R, Broekema GJ, Huismans DR, Kazemier KM, Loonen AH, Rottier MA, Van Zantwijk CH, Hählen K et al (1994) Mononuclear cells contaminating acute lymphoblastic leukaemic samples tested for cellular drug resistance using the methyl-thiazol–tetrazolium assay. Br J Cancer 70: 1047–1052
Kaspers GJ, Veerman AJP, Pieters R, Van Zantwijk CH, Smets LA, van Wering ER, Van Der Does-Van Den Berg A (1997) In vitro cellular drug resistance and prognosis in newly diagnosed childhood acute lymphoblastic leukemia. Blood 90: 2723–2729
Kellner U, Rudolph P, Parwaresch R (2000) Human DNA-topoisomerases. Therapeutic and diagnostic implications for cancer. Onkologie 23: 424–430
Kersey JH (1997) Fifty years of studies of the biology and therapy of childhood leukemia. Blood 90: 4243–4251
Klumper E, Pieters R, Kaspers GJ, Huismans DR, Loonen AH, Rottier MM, van Wering ER, Van Der Does-Van den Berg DB, Hählen K, Creutzig U (1995a) In vitro chemosensitivity assessed with the MTT assay in childhood acute non-lymphoblastic leukemia. Leukemia 9: 1864–1869
Klumper E, Pieters R, Veerman AJP, Huismans DR, Loonen AH, Hahlen K, Kaspers GJ, van Wering ER, Hartmann R, Henze G (1995b) In vitro cellular drug resistance in children with relapsed/refractory acute lymphoblastic leukemia. Blood 86: 3861–3868
Look AT, Melvin SL, Williams DL, Brodeur GM, Dahl GV, Kalwinsky DK, Murphy SB, Mauer AM (1982) Aneuploidy and percentage of S-phase cells determined by flow cytometry correlate with cell phenotype in childhood acute leukemia. Blood 60: 959–967
Montillo M, Mirto S, Petti MC, Latagliata R, Magrin S, Pinto A, Zagonel V, Mele G, Tedeschi A, Ferrara F (1998) Fludarabine, cytarabine, and G-CSF (FLAG) for the treatment of poor risk acute myeloid leukemia. Am J Hematol 58: 105–109
Nyvold C, Madsen HO, Ryder LP, Seyfarth J, Svejgaard A, Clausen N, Wesenberg F, Jonsson OG, Forestier E, Schmiegelow K (2002) Precise quantification of minimal residual disease at day 29 allows identification of children with acute lymphoblastic leukemia and an excellent outcome. Blood 99: 1253–1258
Pui CH, Crist WM, Look AT (1990) Biology and clinical significance of cytogenetic abnormalities in childhood acute lymphoblastic leukemia. Blood 76: 1449–1463
Pui CH, Evans WE (1998) Acute lymphoblastic leukemia. N Engl J Med 339: 605–615
Pui CH, Evans WE (1999) Genetic abnormalities and drug resistance in acute lymphoblastic leukemia. Adv Exp Med Biol 457: 383–389
Reiter A, Schrappe M, Ludwig WD, Hiddemann W, Sauter S, Henze G, Zimmermann M, Lampert F, Havers W, Niethammer D, Riehm H (1994) Chemotherapy in 998 unselected childhood acute lymphoblastic leukemia patients. Results and conclusions of the multicenter trial ALL-BFM 86. Blood 84: 3122–3133
Smets LA, Slater R, van Wering ER, Does-van den Berg A, Hart AA, Veerman AJ, Kamps WA (1995) DNA index and %S-phase cells determined in acute lymphoblastic leukemia of children: a report from studies ALL V, ALL VI, and ALL VII (1979–1991) of the Dutch Childhood Leukemia Study Group and The Netherlands Workgroup on Cancer Genetics and Cytogenetics. Med Pediatr Oncol 25: 437–444
Smets LA, Taminiau J, Hahlen K, de Waal F, Behrendt H (1983) Cell kinetic responses in childhood acute nonlymphocytic leukemia during high-dose therapy with cytosine arabinoside. Blood 61: 79–84
Stevens RF, Hann IM, Wheatley K, Gray RG (1998) Marked improvements in outcome with chemotherapy alone in paediatric acute myeloid leukemia: results of the United Kingdom Medical Research Council's 10th AML trial. MRC Childhood Leukaemia Working Party. Br J Haematol 101: 130–140
Tsurusawa M, Ito M, Zha Z, Kawai S, Takasaki Y, Fujimoto T (1992) Cell-cycle-associated expressions of proliferating cell nuclear antigen and Ki67 reactive antigen of bone marrow blast cells in childhood acute leukemia. Leukemia 6: 669–674
Van Dongen JJ, Seriu T, Panzer-Grumayer ER, Biondi A, Pongers-Willemse MJ, Corral L, Stolz F, Schrappe M, Masera G, Kamps WA, Gadner H, van Wering ER, Ludwig WD, Basso G, de Bruijn MA, Cazzaniga G, Hettinger K, Does-van den Berg A, Hop WC, Riehm H, Bartram CR (1998) Prognostic value of minimal residual disease in acute lymphoblastic leukaemia in childhood. Lancet 352: 1731–1738
Vidriales MB, Orfao A, Lopez-Berges MC, Gonzalez M, Lopez-Macedo A, Ciudad J, Lopez A, Garcia MA, Hernandez J, Borrego D, San Miguel JF (1995) Prognostic value of S-phase cells in AML patients. Br J Haematol 89: 342–348
Vindelov LL, Christensen IJ, Nissen NI (1983a) A detergent-trypsin method for the preparation of nuclei for flow cytometric DNA analysis. Cytometry 3: 323–327
Vindelov LL, Christensen IJ, Nissen NI (1983b) Standardization of high-resolution flow cytometric DNA analysis by the simultaneous use of chicken and trout red blood cells as internal reference standards. Cytometry 3: 328–331
Zwaan CM, Kaspers GJL, Pieters R, Ramakers-Van Woerden NL, den Boer ML, Wunsche R, Rottier MMA, Hahlen K, van Wering ER, Janka-Schaub GE, Creutzig U, Veerman AJP (2000) Cellular drug resistance profiles in childhood acute myeloid leukemia: differences between FAB types and with acute lymphoblastic leukemia. Blood 96: 2879–2886
Acknowledgements
We thank DR Huismans and CH van Zantwijk for excellent technical assistance, and Candida CM Out and Louise M Heesterman for assisting in collecting data into database. We also thank all hospitals participating in the German COALL Study Group, the German BFM-ALL relapse (REZ) Study Group, the German AML-BFM Study Group, and the Dutch Childhood Leukemia Study Group (DCLSG).
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
From twelve months after its original publication, this work is licensed under the Creative Commons Attribution-NonCommercial-Share Alike 3.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by-nc-sa/3.0/
About this article
Cite this article
Kaaijk, P., Kaspers, G., van Wering, E. et al. Cell proliferation is related to in vitro drug resistance in childhood acute leukaemia. Br J Cancer 88, 775–781 (2003). https://doi.org/10.1038/sj.bjc.6600787
Received:
Revised:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1038/sj.bjc.6600787
Keywords
This article is cited by
-
Distinct genetic alterations occur in ovarian tumor cells selected for combined resistance to carboplatin and docetaxel
Journal of Ovarian Research (2012)
-
Expression of P-glycoprotein, Cyclin D1 and Ki-67 in Acute Lymphoblastic Leukemia: Relation with Induction Chemotherapy and Overall Survival
Indian Journal of Hematology and Blood Transfusion (2011)
-
FragViz: visualization of fragmented networks
BMC Bioinformatics (2010)
-
Identification of molecular mechanisms for cellular drug resistance by combining drug activity and gene expression profiles
British Journal of Cancer (2005)