Purpose: Bendamustine has shown clinical activity in patients with disease refractory to conventional alkylator chemotherapy. The purpose of this study was to characterize the mechanisms of action of bendamustine and to compare it with structurally related compounds.

Experimental Design: Bendamustine was profiled in the National Cancer Institute in vitro antitumor screen. Microarray-based gene expression profiling, real-time PCR, immunoblot, cell cycle, and functional DNA damage repair analyses were used to characterize response to bendamustine and compare it with chlorambucil and phosphoramide mustard.

Results: Bendamustine displays a distinct pattern of activity unrelated to other DNA-alkylating agents. Its mechanisms of action include activation of DNA-damage stress response and apoptosis, inhibition of mitotic checkpoints, and induction of mitotic catastrophe. In addition, unlike other alkylators, bendamustine activates a base excision DNA repair pathway rather than an alkyltransferase DNA repair mechanism.

Conclusion: These results suggest that bendamustine possesses mechanistic features that differentiate it from other alkylating agents and may contribute to its distinct clinical efficacy profile.

Bendamustine, 4-{5-[bis(2-chloroethyl)amino]-1-methyl-2-benzimidazolyl} butyric acid hydrochloride, also known as Treanda (Cephalon, Inc.) and marketed in Germany as Ribomustin (Mundi Pharma Ltd.), is a purine analogue/alkylator hybrid cytotoxic with shown clinical activity against various human cancers including non–Hodgkin's lymphoma (1, 2), chronic lymphocytic leukemia (3), multiple myeloma (4, 5), breast cancer (6), and small-cell lung cancer (7, 8). In addition, both preclinical (911) and clinical (12) studies of bendamustine have shown activity in cancer cells that are resistant to conventional alkylating agents.

Bendamustine was originally designed to have both alkylating and antimetabolite properties with acceptable toxicity (13). Structurally, bendamustine comprises three elements: a 2-chloroethylamine alkylating group, a benzimidazole ring, and a butyric acid side chain (Fig. 1). The 2-chloroethylamine alkylating group is shared with other members of the nitrogen mustard family of alkylators, which includes cyclophosphamide, chlorambucil and melphalan, and the butyric acid side chain is shared with chlorambucil. The benzimidazole central ring system is unique to bendamustine; the intent of adding this structure to the nitrogen mustard was to include the antimetabolite properties shown for benzimidazole (14, 15). This heterocyclic ring structure may contribute to the unique antitumor activity of bendamustine and distinguish it from conventional 2-chloroethylamine alkylators (16).

Fig. 1.

Structures of bendamustine, cyclophosphamide, chlorambucil, and melphalan.

Fig. 1.

Structures of bendamustine, cyclophosphamide, chlorambucil, and melphalan.

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Although a large body of clinical data on bendamustine in a variety of tumors has been reported, studies clearly defining the mechanisms of action of bendamustine are lacking. Similar to other alkylators, bendamustine is a DNA cross-linking agent that causes DNA breaks. However, DNA single- and double-strand breaks caused by bendamustine are more extensive and significantly more durable than those caused by cyclophosphamide, cisplatinum, or carmustine (bischloloroethyl nitrosourea; ref. 9). The DNA damage mediated by alkylators has been associated with a regulated form of necrotic cell death (17). Bendamustine as a single agent (1820) or in combination with other anticancer agents (21) has also shown proapoptotic activity in several in vitro tumor models.

The objective of the current study was to describe potential mechanisms of action of bendamustine that distinguish it from other alkylators using large-scale screening technologies, including the National Cancer Institute (NCI) In vitro Cell Line Screening Project (IVCLSP) and gene microarrays. We report data from these analyses and confirm a unique antitumor activity profile for bendamustine compared with cyclophosphamide, chlorambucil, and melphalan. We also report that bendamustine specifically regulates, transcriptionally and posttranslationally, genes involved in apoptosis, DNA repair, and mitotic checkpoints.

NCI antitumor screen (IVCLSP). The IVCLSP of the NCI Developmental Therapeutics Program screens up to 3,000 compounds annually for potential anticancer activity.10

This program uses 60 human tumor cell lines representing leukemia, melanoma, and cancers of the lung, colon, brain, ovary, breast, prostate, and kidney. In a two-stage screening process, compounds are tested for growth-inhibitory activity in all 60 cell lines at a single dose of 10 μmol/L, and compounds that achieve a threshold activity are retested in all 60 cell lines in a five-dose screen. Further details of the NCI cell screening protocols and reporting procedures have been described previously (22). The growth-inhibitory activity of a tested compound is expressed as log (GI50, TGI, or LC50), where GI50 is the concentration required to inhibit tumor cell growth by 50%, TGI is the concentration causing total growth inhibition, and LC50 is the lethal concentration at which 50% of cells are killed. For each compound tested, 60 activity values (one for each cell line) make up the activity pattern, or fingerprint, of the compound.

COMPARE analysis. The development and application of the COMPARE algorithm for finding correlations among compounds tested in the IVCLSP have been previously described (23) and the program is freely available on the Developmental Therapeutics Program Web site.11

A Pearson correlation coefficient (PCC) of >0.8 indicates >65% agreement in the sensitivity patterns of two compounds and a high likelihood of a common mechanism of action (24).

Cells and reagents. SU-DHL-1 and SU-DHL-9 cells were obtained from the University of California San Diego. Daudi, Raji, MCF-7/ADR, and RKO-E6 cells were obtained from American Type Culture Collection. Cells were grown in RPMI 1640 (Hyclone) supplemented with 10% fetal bovine serum (Invitrogen) and 100 units/mL penicillin/streptomycin.

Bendamustine hydrochloride was obtained from Astellas. Phosphoramide mustard cyclohexylamine salt (NSC69945), an active metabolite of cyclophosphamide (25), was obtained from the synthetic repository of the Developmental Therapeutics Program. Each drug compound was prepared in DMSO and then diluted in culture medium. Inhibitory concentrations of 50% (IC50) or 90% (IC90) were determined by the 3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide (MTT) viability assay after 3 days of cell exposure to drug.

Preparation of RNA samples and microarray experiments. SU-DHL-1 cells were incubated with bendamustine at IC50 (25 μmol/L) and IC90 (35 μmol/L). Phosphoramide mustard and chlorambucil and were tested at IC90 of 50 and 5 μmol/L, respectively. These concentrations reflect clinically achievable plasma levels for each drug when administered at recommended doses (26). Gene expression was determined after 8 h of drug treatment to identify the proximal events related to drug exposure. Cells (5 × 106) were harvested in 1 mL TRIzol solution (Invitrogen) and total RNA was isolated as per manufacturer's instruction. Biotin-labeled cDNA (15 μg) was hybridized to each GeneChip array (Affymetrix). Briefly, the procedure to prepare material for hybridization to the chips involves multiple steps. Total RNA was isolated and quantified by absorbance. cDNA was generated using a specific primer that recognizes the polyadenylate tail coupled with a T7 promoter [dT7-(T)24] with deoxynucleotide triphosphate, DTT, and Superscript II to generate the first strand. This approach alleviates the need to isolate polyadenylate mRNA. The second strand was synthesized by adding deoxynucleotide triphosphate with DNA ligase, DNA polymerase I, and RNase H and incubating for 2 h at 16°C before adding T4 DNA polymerase for an additional 5 min. cDNA was column purified and quantified. In vitro transcription was done before hybridization to the high-density oligonucleotide arrays. The starting material for this reaction was 1 μg of cDNA to which nucleotide triphosphates were added with 25% less CTP and UTP to be compensated by adding 10 mmol/L biotinylated-11-CTP and 10 mmol/L biotinylated-16-UTP. The final addition of T7 enzyme in the appropriate buffer for 6 h at 37°C yielded the biotinylated in vitro transcription RNA that was then column purified (RNeasy, Qiagen). Chemically fragmented in vitro transcription RNA (15 μg) was mixed with control oligonucleotides, standards (including a housekeeping gene), and salmon sperm DNA in the appropriate buffer; heated to 95°C for 5 min; and hybridized to the chip for 16 h at 42°C. Nonhybridized material was washed off with 2× saline-sodium phosphate-EDTA, and phycoerythrin-labeled avidin was then added to the chip. The excess fluorochrome was washed off and the chip was scanned for intensity of fluorescence in each synthesis feature (synthesis features are 7.5 μm2).

Bioinformatics analysis. The CORGON method was used to analyze scanned images of Affymetrix GeneChips (27). Only genes that showed a significant change in expression (P < 0.05) after bendamustine exposure when compared with untreated control cells were considered differentially regulated.

A Gene Ontology analysis (GO3 software) was used to elucidate molecular pathways selectively modulated by bendamustine compared with the other two drugs. The GO3 is an unbiased and unsupervised tool for finding statistically significant terms in the Gene Ontology database,12

a controlled vocabulary developed to aid the description of the molecular functions of gene products and their participation in biological processes. Genes were chosen for clustering based on the similarity of their expression patterns using hierarchical clustering methods. This initial classification was used to determine the primary genes and pathways modulated by each test drug.

Quantitative PCR analysis. The in vitro expression levels of specific transcripts were determined using quantitative PCR (Q-PCR). Total RNA from each treated SU-DHL-1 cell pellet was isolated using an RNeasy mini-prep kit (Qiagen). cDNAs were made using a ThermoScript reverse-transcriptase kit (Invitrogen) and oligo-dT primers according to manufacturer's protocol. Q-PCR amplification and quantitation were carried out using an iCycler machine (Bio-Rad). Sample amplification was done in a volume of 25 μL containing 12.5 μL of 2 × IQ SybrGreen Mix (Bio-Rad), 1 μmol/L of each primer, and a volume of cDNA corresponding to 80 ng of total RNA. Cycling conditions were as follows: 95°C for 5 s, 30 s at the appropriate annealing temperature for each primer, and 72°C for 30 s. Target specificity of the assays was validated by melt curve analysis. The expression of each gene was normalized relative to 18S expression levels for each sample. The expression of each gene relative to untreated control was calculated using the 2−ΔΔCt method of Livak and Schmittgen (28). Primers were designed using Beacon Designer (Premier Biosoft) or designed based on the literature. Primer sequences and annealing temperatures are as follows: 18S, 5′-CGCCGCTAGAGGTGAAATTC-3′, 5′-TTGGCAAATGCTTTCGCT-3′ (55°C); p21, 5′-CCTCATCCCGTGTTCTCCTTT-3′, 5′-GTACCACCCAGCGGACAAGT-3′ (57°C); NOXA, 5′-ATTTCTTCGGTCACTACACAA-3′, 5′-AACGCCCAACAGGAACAC-3′ (55°C); PLK-1, 5′-CTCAACACGCCTCATCCT-3′, 5′-GTGCTCGCTCATGTAATTGC-3′ (57°C); Aurora A, 5′-TCCTTGTCAGAATCCATTACCTGT-3′, 5′-GAATGCGCTGGGAAGAATTTG-3′ (55°C); Aurora B, 5′-AGAGTGCATCACACAACGAGA-3′, 5′-CTGAGCAGTTTGGAGATGAGGTC-3′ (56°C); cyclin B1, 5′-AGTGTGACCCAGACTGCCTC-3′, 5′-CAAGCCAGGTCCACCTCCTC-3′ (57°C); Exo1, 5′-TTGGTCTGGAGGTCTTGGAGA-3′, 5′-GAATCGCTCTTTCTTCGGAACTG-3′ (57°C).

Western blot analysis. SU-DHL-1 cells were incubated with equitoxic (IC50) concentrations of bendamustine (50 μmol/L), chlorambucil (2 μmol/L), or phosphoramide mustard (20 μmol/L) for 20 h. Cells were washed twice with 1× PBS and lysed for 1 h with ice-cold lysis buffer [1 mol/L Tris-HCl (pH 7.4), 1 mol/L KCl, 5 mmol/L EDTA, 1% NP40, 0.5% sodium deoxycholine, with 1 mmol/L sodium orthovanidate, 1 mmol/L NaF, protease inhibitor cocktail (Roche), and phosphatase inhibitor cocktail (Sigma)] added directly before lysis. Nonsoluble membranes, DNA, and other precipitants were pelleted, and the protein supernatant was obtained. Protein concentrations were determined using the Bradford assay (Pierce). Twenty micrograms of lysate were separated by gel electrophoresis on a 4% to 12% polyacrylamide gel, transferred to nitrocellulose membranes (Invitrogen), and detected by immunoblotting using the following primary monoclonal antibodies: anti-p53, anti-phosphorylated p53 (Ser15-specific), anti-p21, and anti-cleaved PARP (caspase-specific cleavage site; Cell Signaling); anti-Bax and anti-PARP (BD PharMingen); and anti–β-actin, used for a loading control (Sigma). Primary antibodies were incubated overnight at 4°C with gentle shaking. Membranes were washed thrice with 1× PBS and incubated with Alexa Flour 680 goat anti-mouse secondary antibody (1:4,000; Molecular Probes) for 2 h at room temperature with gentle shaking. Blots were washed thrice with 1× PBS and scanned on a LiCor Odyssey scanner.

In vitro cell-based Ape-1 and alkylguanyl transferase assays. Cells were preincubated for 30 min with either 6 mmol/L methoxyamine (Sigma) or 50 μmol/L O6-benzylguanine (Sigma), inhibitors of Ape-1 base excision repair enzyme, or alkylguanyl transferase enzyme, respectively. The cells were then exposed to various concentrations of the test materials for 72 h. Cytotoxicity was evaluated by the MTT viability assay (29) and an IC50 was determined as the drug concentration that inhibited by 50% the viability value of the untreated control. Analyses were done using GraphPad Prism version 3.00 GraphPad Software.

Cell cycle analyses. SU-DHL-1 cells were incubated with equitoxic (IC50) concentrations of bendamustine (50 μmol/L), chlorambucil (4 μmol/L), or phosphoramide mustard (50 μmol/L) for 8 h. Cells were washed with PBS and fixed in 70% ethanol at 20°C for at least 1 h. Fixed cells were rehydrated by washing with PBS. Cells were resuspended in a propidium iodide staining solution consisting of 10 μg/mL propidium iodide (Calbiochem), 10 μg/mL RNase A (DNase-free, Novagen), and 10 μL/mL Triton-X (Sigma) in PBS. Samples were analyzed using a FACSCalibur (BD Biosciences). Analyses of cell cycle distribution were done using DNA ModFit LT (Verity House Software, Inc.) modeling software.

Microscopy. MCF-7(ADR) or RKO-E6 cells were grown on slide microchambers and treated for 3 days with 25 μmol/L bendamustine. The slides were washed with PBS and mounted using SlowFade Light Antifade-DAPI mounting medium (Molecular Probes). Images were collected using a Zeiss Axioplan IIe epifluorescent microscope equipped with appropriate filters for 4′,6-diamidino-2-phenylindole imaging and Axiovision software (Carl Zeiss). Images were acquired with an Axiocam HrM using a C-apo ×40 Plan Neofluor objective. More than 500 cells were counted for each condition and all experiments were repeated at least thrice.

Bendamustine displays a unique profile of activity using the NCI COMPARE analysis. The IVCLSP screen and COMPARE analysis were done for melphalan, chlorambucil, and the active metabolite of cyclophosphamide. Similar sensitivity patterns were shown for 25 compounds compared with melphalan (PCC >0.839), 25 compounds compared with chlorambucil (PCC >0.839), and 23 compounds compared with the active metabolite of cyclophosphamide (PCC >0.800). Agents that match most closely with these agents are all DNA-alkylating agents (Table 1A-C). Direct comparisons among cyclophosphamide, chlorambucil, and melphalan showed strong correlation coefficients (0.76-0.93).

Table 1.

Sensitivity patterns identified by COMPARE

CompoundNSCMechanism of actionCorrelation (PCC), GI50
A. Melphalan    
    Chlorambucil 3088 DNA alkylator, nitrogen mustard 0.934 
    Thio-TEPA 6396 DNA alkylator 0.909 
    Piperazine, 1-(2-chloroethyl)-4-(3-chloropropyl)-, dihydrochloride 344007 DNA alkylator, nitrogen mustard 0.913 
    2-Hexanamine, 1,6-dichloro-N-(2-chloroethyl)-, hydrochloride 9713 DNA alkylator, nitrogen mustard 0.902 
    YOSHI 864 102627 DNA alkylator 0.876 
    Hepsulfam 329680 DNA alkylator 0.875 
B. Chlorambucil    
    Uracil mustard 34462 DNA alkylator, nitrogen mustard 0.957 
    Aziridine, 1,1′-[tetramethyl-p-phenylenebis(methylenecarbonyl)]bis- 48034 DNA alkylator 0.916 
    Melphalan 8806 DNA alkylator, nitrogen mustard 0.896 
    Epoxypiperazine 74437 DNA alkylator 0.895 
    2-Hexanamine, 1,6-dichloro-N-(2-chloroethyl)-, hydrochloride 9713 DNA alkylator, nitrogen mustard 0.894 
    Diiodobenzotepa 167781 DNA alkylator 0.892 
    Piperazine, 1-(2-chloroethyl)-4-(3-chloropropyl)-, dihydrochloride 344007 DNA alkylator, nitrogen mustard 0.886 
    Vercyte 25154 DNA alkylator 0.880 
    Thio-TEPA 6396 DNA alkylator 0.875 
C. Cyclophosphamide    
    MX2 HCl 619003 Anthracycline, DNA intercalator 0.934 
    Fotrin 216135 DNA alkylator 0.878 
    1-Aziridinecarboxamide, N,N′-hexamethylenebis(2-methyl) 54059 DNA alkylator 0.877 
    Bis(2-chloroethyl)-N-methyl-N-(3-methyl-2-nitrobenzyl)ammonichloride 658929 DNA alkylator 0.852 
    Menogaril 269148 Anthracycline, DNA intercalator 0.847 
    Thio-TEPA 6396 DNA alkylator 0.832 
    YOSHI 864 102627 DNA alkylator 0.812 
    Melphalan 8806 DNA alkylator, Nitrogen mustard 0.765 
    Chlorambucil 3088 DNA alkylator, nitrogen mustard 0.762 
D. Bendamustine    
    CTIC, dacarbazine 45388 DNA alkylator, methylating agent 0.792 (LC50
    TOPT1B 376254 Topoisomerase I inhibitor 0.619 (TGI) 
    N-N-Dibenzyl-daunomycin 268242 Anthracycline, DNA intercalator (daunomycin analogue) 0.574 (TGI) 
    Melphalan 8806 DNA alkylator, nitrogen mustard 0.550 (GI50
    YOSHI 864 102627 DNA alkylator 0.542 (GI50
    Ara-AC (Fazarabine) 281272 Antimetabolite and DNA methylation inhibitor 0.524 (TGI) 
CompoundNSCMechanism of actionCorrelation (PCC), GI50
A. Melphalan    
    Chlorambucil 3088 DNA alkylator, nitrogen mustard 0.934 
    Thio-TEPA 6396 DNA alkylator 0.909 
    Piperazine, 1-(2-chloroethyl)-4-(3-chloropropyl)-, dihydrochloride 344007 DNA alkylator, nitrogen mustard 0.913 
    2-Hexanamine, 1,6-dichloro-N-(2-chloroethyl)-, hydrochloride 9713 DNA alkylator, nitrogen mustard 0.902 
    YOSHI 864 102627 DNA alkylator 0.876 
    Hepsulfam 329680 DNA alkylator 0.875 
B. Chlorambucil    
    Uracil mustard 34462 DNA alkylator, nitrogen mustard 0.957 
    Aziridine, 1,1′-[tetramethyl-p-phenylenebis(methylenecarbonyl)]bis- 48034 DNA alkylator 0.916 
    Melphalan 8806 DNA alkylator, nitrogen mustard 0.896 
    Epoxypiperazine 74437 DNA alkylator 0.895 
    2-Hexanamine, 1,6-dichloro-N-(2-chloroethyl)-, hydrochloride 9713 DNA alkylator, nitrogen mustard 0.894 
    Diiodobenzotepa 167781 DNA alkylator 0.892 
    Piperazine, 1-(2-chloroethyl)-4-(3-chloropropyl)-, dihydrochloride 344007 DNA alkylator, nitrogen mustard 0.886 
    Vercyte 25154 DNA alkylator 0.880 
    Thio-TEPA 6396 DNA alkylator 0.875 
C. Cyclophosphamide    
    MX2 HCl 619003 Anthracycline, DNA intercalator 0.934 
    Fotrin 216135 DNA alkylator 0.878 
    1-Aziridinecarboxamide, N,N′-hexamethylenebis(2-methyl) 54059 DNA alkylator 0.877 
    Bis(2-chloroethyl)-N-methyl-N-(3-methyl-2-nitrobenzyl)ammonichloride 658929 DNA alkylator 0.852 
    Menogaril 269148 Anthracycline, DNA intercalator 0.847 
    Thio-TEPA 6396 DNA alkylator 0.832 
    YOSHI 864 102627 DNA alkylator 0.812 
    Melphalan 8806 DNA alkylator, Nitrogen mustard 0.765 
    Chlorambucil 3088 DNA alkylator, nitrogen mustard 0.762 
D. Bendamustine    
    CTIC, dacarbazine 45388 DNA alkylator, methylating agent 0.792 (LC50
    TOPT1B 376254 Topoisomerase I inhibitor 0.619 (TGI) 
    N-N-Dibenzyl-daunomycin 268242 Anthracycline, DNA intercalator (daunomycin analogue) 0.574 (TGI) 
    Melphalan 8806 DNA alkylator, nitrogen mustard 0.550 (GI50
    YOSHI 864 102627 DNA alkylator 0.542 (GI50
    Ara-AC (Fazarabine) 281272 Antimetabolite and DNA methylation inhibitor 0.524 (TGI) 

NOTE: Twenty-five compounds showed a PCC of >0.839 for melphalan; 25 compounds showed a PCC of >0.839 for chlorambucil; 23 compounds showed a PCC of >0.8 for cyclophosphamide; and no compound showed a PCC of >0.8 for bendamustine.

In contrast, the sensitivity pattern of bendamustine did not strongly correlate with any of the compounds tested. In fact, of the top six matches (Table 1D), only dacarbazine showed a sensitivity agreement (r2) exceeding 50%. The remaining matches for bendamustine included a topoisomerase 1 inhibitor, an anthracycline, and an antimetabolite, in addition to two other alkylators, including melphalan. These results suggest that bendamustine has a unique mechanistic profile compared with most conventional alkylators.

Microarray analysis of bendamustine, phosphoramide mustard, and chlorambucil. To define the differences in molecular mechanisms of action between bendamustine and conventional alkylators, we conducted gene expression analyses. Affymetrix GeneChip analysis was used to compare the expression levels of >12,000 genes in SU-DHL-1 cells, a non–Hodgkin's lymphoma cell line, after 8 h of treatment with bendamustine, phosphoramide, chlorambucil, or no drug (see Materials and Methods for more details). Among the top 100 most modulated genes, most genes were up-regulated upon exposure to bendamustine, phosphoramide, or chlorambucil, whereas only a subset was transcriptionally repressed.

The GO3 analysis comparing the DMSO-treated control and the bendamustine-treated SU-DHL-1 cells (at IC90 dose) showed the highest statistical differences in the following major “functional groups”: (a) response to DNA-damage stress; (b) DNA metabolism; (c) cell proliferation; and (d) cell regulation (Table 2). The profile obtained for phosphoramide mustard showed significant changes in the biological processes, including response to DNA damage or stress (GO6974), cell proliferation (GO8283), and regulation of biological process (GO50789) as well as cellular process (GO50794). A notable difference from bendamustine was the absence of several biological processes belonging to the “DNA metabolism, DNA repair, transcription” and “cell cycle, mitotic checkpoint” groups (Table 2).

Table 2.

Gene Ontology consortium statistical analysis of bendamustine-induced gene changes in SU-DHL-1 cells

Functional groupsGO no.GO description: biological processBENDAPMCHLB
DNA-damage, stress response, apoptosis 6974 Response to DNA damage stress 0.00001 0.0041 NA 
 6950 Response to stress 0.0003 NA NA 
 16265 Death 0.0482 NA 0.0428 
DNA metabolism, DNA repair, transcription 6259 DNA metabolism 0.00003 0.0433 NA 
 6139 Nucleobase, nucleoside, nucleotide, and nucleic acid metabolism 0.0004 NA NA 
 6357 Regulation of transcription from Pol II promoter 0.0003 NA 0.0109 
 6366 Transcription from Pol II promoter 0.0068 NA 0.0269 
Cell proliferation, cell cycle, mitotic checkpoint 8283 Cell proliferation 0.00001 0.003 0.0232 
 8151 Cell growth and/or maintenance 0.0041 0.0464 NA 
 6275 Regulation of DNA replication 0.0101 0.0101 NA 
 278 Mitotic cell cycle 0.0334 0.0084 NA 
 79 Regulation of CDK activity 0.0192 NA NA 
 7078 Mitotic metaphase plate congression 0.047 NA NA 
 50790 Regulation of enzyme activity 0.0363 NA NA 
Cell regulation 50789 Regulation of biological process 0.00004 0.00006 0.0016 
 50794 Regulation of cellular process 0.0035 0.0007 0.0012 
 9987 Cellular process 0.0379 NA NA 
Functional groupsGO no.GO description: biological processBENDAPMCHLB
DNA-damage, stress response, apoptosis 6974 Response to DNA damage stress 0.00001 0.0041 NA 
 6950 Response to stress 0.0003 NA NA 
 16265 Death 0.0482 NA 0.0428 
DNA metabolism, DNA repair, transcription 6259 DNA metabolism 0.00003 0.0433 NA 
 6139 Nucleobase, nucleoside, nucleotide, and nucleic acid metabolism 0.0004 NA NA 
 6357 Regulation of transcription from Pol II promoter 0.0003 NA 0.0109 
 6366 Transcription from Pol II promoter 0.0068 NA 0.0269 
Cell proliferation, cell cycle, mitotic checkpoint 8283 Cell proliferation 0.00001 0.003 0.0232 
 8151 Cell growth and/or maintenance 0.0041 0.0464 NA 
 6275 Regulation of DNA replication 0.0101 0.0101 NA 
 278 Mitotic cell cycle 0.0334 0.0084 NA 
 79 Regulation of CDK activity 0.0192 NA NA 
 7078 Mitotic metaphase plate congression 0.047 NA NA 
 50790 Regulation of enzyme activity 0.0363 NA NA 
Cell regulation 50789 Regulation of biological process 0.00004 0.00006 0.0016 
 50794 Regulation of cellular process 0.0035 0.0007 0.0012 
 9987 Cellular process 0.0379 NA NA 

NOTE: The last three columns are the probability that each immediate daughter term (a P value) is linked to the number of selected genes by chance; P value was calculated using the GO3 software.

Abbreviations: BENDA, bendamustine; CHLB, chlorambucil; NA, no P value given: no linkage observed; PM, phosphoramide mustard (cyclophosphamide metabolite).

The comparison between bendamustine and chlorambucil revealed even larger differences. Chlorambucil was only highly linked to two biological processes, regulation of biological process (GO50789) and regulation of cellular processes (GO50794; Table 2). The GO3 analysis was then used to compare the gene expression changes induced by bendamustine and chlorambucil side-by-side. Two main pathways were identified by this comparison as statistically different between the two compounds: nucleic acid metabolism and mitotic checkpoint-cell cycle regulation. The biological processes with the highest P value in this side-by-side comparison were deoxyribonucleoside triphosphate metabolism (GO9200), deoxyribonucleotide metabolism (GO9262), and regulation of CDK activity (GO79).

Bendamustine uniquely regulates apoptosis pathways in non–Hodgkin's lymphoma cells compared with other alkylators. Many proapoptotic genes known to possess p53-response elements in their promoter regions, and considered to be p53-dependent, were found by the microarray analysis to be induced by bendamustine. p53 is an important tumor suppressor transcription factor that mediates apoptosis in response to DNA damage or other major cellular disruptions (30). Examples of these genes are p21 (Cip1/Waf1/cyclin-dependent kinase inhibitor 1A; p53-induced cell division kinase inhibitor), wip1 (p53-induced protein phosphatase 1), NOXA (p53-induced proapoptotic Bcl-2 family member), DR5/KILLER (p53-regulated DNA damage-inducible cell death receptor), and BTG2 (p53-dependent component of DNA damage cellular response pathways). In addition to p53-related genes, other regulated genes related to apoptosis and identified in the top 100 modulated genes were four members of the tumor necrosis factor–receptor superfamily. Several of these genes have been shown to play a critical role in the regulation of the extrinsic apoptotic pathway (31).

Q-PCR validation was used to confirm the effects of bendamustine on p21 (Cip1/Waf1) and NOXA. Both genes were induced in SU-DHL-1 cells after 8 h of exposure to bendamustine. Both genes were also induced by equitoxic concentrations of phosphoramide mustard and chlorambucil, but to a much lower extent (Fig. 2A).

Fig. 2.

Enhanced apoptosis signaling by bendamustine when compared with the cyclophosphamide metabolite, phosphoramide mustard, and chlorambucil. A, Q-PCR analysis of SU-DHL-1 cells exposed to equitoxic concentrations of bendamustine, phosphoramide mustard, and chlorambucil. The levels of input cDNA were normalized using an assay for 18S RNA, and the expression in the untreated sample was set to 1. Columns, mean of the fold changes from DMSO-treated controls; bars, SE. The results were averaged from three independent experiments. B, analysis of protein expression of apoptotic regulators was done on SU-DHL-1 cells exposed to bendamustine (50 μmol/L), phosphoramide mustard (PM, 20 μmol/L), and chlorambucil (2 μmol/L). Cell lysates were prepared after 20-h exposure. β-Actin protein expression served as a loading control and is shown below the regulated proteins. Top, expression of Ser15-phosphorylated p53, detected using a phosphospecific antibody. Middle, total p53. Bottom, expression of Bax.

Fig. 2.

Enhanced apoptosis signaling by bendamustine when compared with the cyclophosphamide metabolite, phosphoramide mustard, and chlorambucil. A, Q-PCR analysis of SU-DHL-1 cells exposed to equitoxic concentrations of bendamustine, phosphoramide mustard, and chlorambucil. The levels of input cDNA were normalized using an assay for 18S RNA, and the expression in the untreated sample was set to 1. Columns, mean of the fold changes from DMSO-treated controls; bars, SE. The results were averaged from three independent experiments. B, analysis of protein expression of apoptotic regulators was done on SU-DHL-1 cells exposed to bendamustine (50 μmol/L), phosphoramide mustard (PM, 20 μmol/L), and chlorambucil (2 μmol/L). Cell lysates were prepared after 20-h exposure. β-Actin protein expression served as a loading control and is shown below the regulated proteins. Top, expression of Ser15-phosphorylated p53, detected using a phosphospecific antibody. Middle, total p53. Bottom, expression of Bax.

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One of the key initial events known to trigger apoptosis through p53 is phosphorylation at Ser15 of p53. In an immunoblot analysis, using antibodies that specifically recognize Ser15-phosphorylated p53, bendamustine led to an 8-fold up-regulation of Ser15-phosphorylated p53 in SU-DHL-1 cells. In contrast, only minor up-regulation was seen in chlorambucil-treated cells, and no changes were observed in phosphoramide mustard-treated cells at equitoxic concentrations (Fig. 2B).

A strong increase in the expression of total p53 was also seen in bendamustine-treated cells. Chlorambucil-treated cells showed a small increase in total p53, whereas phosphoramide mustard induced no change in p53 levels (Fig. 2B) at equitoxic concentrations. Given the strong induction of p53 in bendamustine cells, we decided to test for potential changes in the proapoptotic mitochondrial protein, Bax. Although also a downstream effector of p53, due to a weaker p53-responsive element in its promoter, Bax has been reported to have a weaker induction than p21 in wild-type p53 cancer cells (32). Bendamustine, but not phosphoramide or chlorambucil, caused an appreciable increase in the protein expression of Bax in SU-DHL-1 cells (Fig. 2B).

Bendamustine uniquely regulates DNA repair pathways in non–Hodgkin's lymphoma cells compared with other alkylators. Because DNA repair was characterized in the GO3 analysis as a “functional group” differentially regulated by bendamustine, several genes involved in DNA repair were analyzed by Q-PCR. One DNA repair gene that was found in the microarray to be induced was exonuclease-1 (EXO1). Bendamustine induced a stronger (2.5-fold) up-regulation of EXO1 expression compared with that observed with phosphoramide mustard (1.5-fold) or chlorambucil (1.8-fold; Fig. 3A). Because DNA-repair capacity has been shown to play a critical role in resistance to DNA-alkylating drugs, these pathways may contribute to the different activity/resistance profiles observed for bendamustine versus cyclophosphamide and chlorambucil.

Fig. 3.

Bendamustine differentially modifies genes involved in base excision repair. A, relative RNA levels of DNA repair enzyme EXO1. Q-PCR analysis was done using SU-DHL-1 cells exposed to equitoxic concentrations of bendamustine, phosphoramide mustard, and chlorambucil. The levels of input cDNA were normalized using an assay for 18S RNA, and the expression in the untreated sample was set to 1. Columns, mean of the fold changes from DMSO-treated controls; bars, SE. The results were averaged from three independent experiments. B, the role of the repair enzyme Ape-1 in the cytotoxic activity of bendamustine and phosphoramide mustard was assessed using the Ape-1 inhibitor methoxyamine (MX). Cells were preincubated with methoxyamine for 30 min before the drug addition. The IC50 (dashed line) was determined by MTT assay after 72 h incubation with drug. C, the role of the repair enzyme O6-alkylguanine-DNA alkyl transferase in the cytotoxic activity of bendamustine was assessed using the inhibitor O6-benzylguanine (O6-BG). The IC50 of bendamustine and phosphoramide mustard with or without a 30-min preincubation with O6-BG was determined by MTT assay after 72 h incubation with drug. The addition of O6-benzylguanine did not significantly change the IC50 of bendamustine, although the IC50 of phosphoramide mustard was reduced 2-fold.

Fig. 3.

Bendamustine differentially modifies genes involved in base excision repair. A, relative RNA levels of DNA repair enzyme EXO1. Q-PCR analysis was done using SU-DHL-1 cells exposed to equitoxic concentrations of bendamustine, phosphoramide mustard, and chlorambucil. The levels of input cDNA were normalized using an assay for 18S RNA, and the expression in the untreated sample was set to 1. Columns, mean of the fold changes from DMSO-treated controls; bars, SE. The results were averaged from three independent experiments. B, the role of the repair enzyme Ape-1 in the cytotoxic activity of bendamustine and phosphoramide mustard was assessed using the Ape-1 inhibitor methoxyamine (MX). Cells were preincubated with methoxyamine for 30 min before the drug addition. The IC50 (dashed line) was determined by MTT assay after 72 h incubation with drug. C, the role of the repair enzyme O6-alkylguanine-DNA alkyl transferase in the cytotoxic activity of bendamustine was assessed using the inhibitor O6-benzylguanine (O6-BG). The IC50 of bendamustine and phosphoramide mustard with or without a 30-min preincubation with O6-BG was determined by MTT assay after 72 h incubation with drug. The addition of O6-benzylguanine did not significantly change the IC50 of bendamustine, although the IC50 of phosphoramide mustard was reduced 2-fold.

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To further examine the differences between bendamustine and the other alkylators in DNA damage and induction of DNA repair pathways, we tested the cytotoxic activity of the drugs in the presence of a specific inhibitor of DNA repair. The DNA repair enzyme APE is an apurinic/apyrimidinic endonuclease that plays a critical role in the base excision repair pathway (33). APE is inhibited by methoxyamine, a drug that specifically binds to abasic sites in DNA and reduces APE activity by >300-fold (34). The cytotoxic activities of bendamustine and phosphoramide mustard in the presence of methoxyamine were assessed in Raji (a Burkitt's lymphoma cell line) and SU-DHL-1 cells. The IC50 of bendamustine was reduced ∼6-fold in the Raji cells and 4-fold with methoxyamine addition. In contrast, the IC50 of phosphoramide mustard did not change with methoxyamine addition (Fig. 3B). These data indicate that bendamustine uniquely induces a base excision repair pathway response.

The DNA repair enzyme O6-alkylguanine-DNA alkyl transferase is an important DNA-repair protein that protects cells from the toxic effects of DNA alkylators. The activity of bendamustine and phosphoramide mustard was examined in Raji and SU-DHL-1 cell lines in the presence of an alkylguanyl transferase inhibitor, O6-benzylguanine. The cytotoxicity of phosphoramide mustard was increased in both cell lines, whereas that of bendamustine was not enhanced by the addition of O6-benzylguanine in either cell line (Fig. 3C). These data indicate that other alkylators but not bendamustine induce an alkyltransferase mechanism of DNA repair.

Bendamustine inhibits mitotic checkpoints and induces mitotic catastrophe. The effect of bendamustine, phosphoramide mustard, and chlorambucil on cell cycle progression was determined using flow cytometric analysis. SU-DHL-1 cells were treated with equitoxic concentrations of the drugs, or DMSO as a control, for 8 h. Bendamustine caused a significantly greater increase in the proportion of cells in the S-phase of the cell cycle (∼60%) compared with chlorambucil (45%) and phosphoramide (37%), based on the DMSO control (37%; Fig. 4A and B).

Fig. 4.

Bendamustine mediates mitotic catastrophe. A, accumulation of cells in S phase: SU-DHL-1 cells were treated with 50 μmol/L bendamustine, 4 μmol/L chlorambucil, 50 μmol/L phosphoramide mustard (equitoxic concentrations), or diluent DMSO as a control; harvested; and stained for DNA content with propidium iodide. The number in the top right-hand corner of the histogram represents the percentage of the diploid cell population in S-phase as calculated using DNA Modfit LT software (Verity Software House). Arrow, an area of increased cell accumulation in the bendamustine-treated sample. B, the change in the percentage of cells in S-phase from the control sample (diluent DMSO). Columns, averaged change from four independent experiments; bars, SD. Statistical significance (*) of the differences between the averaged bendamustine S-phase population distribution and that of chlorambucil (CHLB) and phosphoramide mustard samples were confirmed using the unpaired Student's t test. C, inhibition of mitotic checkpoints: Q-PCR analysis was done in SU-DHL-1 cells exposed to equitoxic concentrations of bendamustine, phosphoramide mustard, and chlorambucil. The levels of input cDNA were normalized using an assay for 18S RNA, and the expression in the untreated sample was set to 1. Columns, mean of the fold changes from DMSO-treated controls; bars, SE. The results were averaged from three independent experiments. D, mitotic catastrophe: Multidrug-resistant MCF-7/ADR cells were exposed for 3 d to 25 μmol/L bendamustine in the presence of 20 μmol/L of the pan-caspase inhibitor, zVAD-fmk. Microscopic analysis of nuclear morphology using DNA 4′,6-diamidino-2-phenylindole staining revealed an increased incidence of chromatin condensation and micronucleation, hallmarks of mitotic catastrophe, in treated cells (26%; left) compared with untreated cells (6%; right). Extensive cell death was observed in the treated population of cells.

Fig. 4.

Bendamustine mediates mitotic catastrophe. A, accumulation of cells in S phase: SU-DHL-1 cells were treated with 50 μmol/L bendamustine, 4 μmol/L chlorambucil, 50 μmol/L phosphoramide mustard (equitoxic concentrations), or diluent DMSO as a control; harvested; and stained for DNA content with propidium iodide. The number in the top right-hand corner of the histogram represents the percentage of the diploid cell population in S-phase as calculated using DNA Modfit LT software (Verity Software House). Arrow, an area of increased cell accumulation in the bendamustine-treated sample. B, the change in the percentage of cells in S-phase from the control sample (diluent DMSO). Columns, averaged change from four independent experiments; bars, SD. Statistical significance (*) of the differences between the averaged bendamustine S-phase population distribution and that of chlorambucil (CHLB) and phosphoramide mustard samples were confirmed using the unpaired Student's t test. C, inhibition of mitotic checkpoints: Q-PCR analysis was done in SU-DHL-1 cells exposed to equitoxic concentrations of bendamustine, phosphoramide mustard, and chlorambucil. The levels of input cDNA were normalized using an assay for 18S RNA, and the expression in the untreated sample was set to 1. Columns, mean of the fold changes from DMSO-treated controls; bars, SE. The results were averaged from three independent experiments. D, mitotic catastrophe: Multidrug-resistant MCF-7/ADR cells were exposed for 3 d to 25 μmol/L bendamustine in the presence of 20 μmol/L of the pan-caspase inhibitor, zVAD-fmk. Microscopic analysis of nuclear morphology using DNA 4′,6-diamidino-2-phenylindole staining revealed an increased incidence of chromatin condensation and micronucleation, hallmarks of mitotic catastrophe, in treated cells (26%; left) compared with untreated cells (6%; right). Extensive cell death was observed in the treated population of cells.

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One of the most striking results that emerged from the Q-PCR analysis of genes involved in the cell proliferation/cell cycle/mitotic checkpoint molecular functional group identified in the GO analysis was the differential regulation of several mitosis-related genes, including polo-like kinase 1 (PLK-1), Aurora Kinase A, and cyclin B1—genes considered very important in mitotic checkpoint regulation (3540). Treatment with bendamustine resulted in a 60% to 80% down-regulation of the mRNA expression of all three of these genes in SU-DHL-9 cells, whereas phosphoramide mustard or chlorambucil had more modest inhibitory effects on these gene transcripts (Fig. 4C); the same trend was observed in Daudi cells (a Burkitt's lymphoma cell line; data not shown).

It is possible that a defect in mitotic checkpoints inhibits the “physiologic” arrest of the DNA alkylator–treated cells, required for efficient repair of DNA damage before cells are allowed to enter mitosis. Cells entering mitosis with significant DNA damage are reported to result in activation of the death pathway known as mitotic catastrophe. Mitotic catastrophe is a necrotic form of cell death that occurs during metaphase and is morphologically distinct from apoptosis. It can occur in the absence of functional p53 or in cells where conventional caspase-dependent apoptosis is suppressed (41, 42).

To determine whether bendamustine can cause mitotic catastrophe, it was necessary to find a model in which the apoptotic effects of bendamustine could be distinguished from the potential mitotic catastrophe end point. To this end, bendamustine was tested in cell lines with deficiencies in apoptotic pathways (the multidrug-resistant breast cancer cell line MCF-7/ADR and a p53-deficient colon cancer cell line, RKO-E6) and in the presence of an inhibitor of classic apoptotic pathways, the pan-caspase inhibitor zVAD-fmk. MCF-7/ADR and RKO-E6 cells were treated for 3 days with 25 μmol/L bendamustine alone or in combination with 20 μmol/L zVAD-fmk. Microscopic analysis of nuclear morphology using 4′,6-diamidino-2-phenylindole staining revealed an increased incidence of chromatin condensation and multinucleation/micronucleation, hallmarks of mitotic catastrophe, in both cell lines. Twenty-six percent of the bendamustine-treated MCF-7/ADR cells showed micronucleation compared with only 6% in DMSO control cells (Fig. 4D). Results were similar in RKO-E6 cells (data not shown). These data indicate that in addition to inducing apoptosis, bendamustine may cause mitotic catastrophe.

In this report, we describe the characterization of molecular mechanisms of action of bendamustine, in addition to outlining several important differences between bendamustine and other clinically used 2-chloroethylamine DNA-alkylating agents, such as cyclophosphamide and chlorambucil.

Analysis of data from the NCI IVCLSP indicated that other alkylating agents, cyclophosphamide, chlorambucil, and melphalan, have high coefficients of correlation, suggesting that they have very similar mechanistic features. In contrast, a lack of high coefficients of correlation between bendamustine and these drugs suggests that bendamustine exhibits a unique mechanism of action. Results from microarray analyses of bendamustine, the cyclophosphamide metabolite phosphoramide mustard, and chlorambucil also indicated clear differences between bendamustine and the other alkylating agents, in the form of different trends in gene regulation within distinct functional pathways. Validation of some of the screening results and more detailed cellular assays helped to further characterize specific molecular mechanisms of action of bendamustine.

Treatment with bendamustine resulted in the initiation of the “canonical” p53-dependent stress pathway that results in a strong activation of intrinsic apoptosis. Bendamustine showed higher levels of p53 activation (phosphorylation at Ser15) and induction of p53-dependent genes, compared with other alkylating agents. Although other nitrogen mustards have been previously reported to induce a p53-mediated stress response, the data presented here suggest that bendamustine may provide a stronger and more rapidly induced signal compared with equitoxic doses of phosphoramide or chlorambucil.

Concurrently, bendamustine exposure resulted in inhibition of several mitotic checkpoints. Cells entering mitosis with extensive DNA damage may consequently undergo death by mitotic catastrophe. This alternative cell death pathway, together with the strong activation of apoptosis, may in part explain the effectiveness of bendamustine in drug-resistant cells in vitro (11), as well as in lymphoma patients with chemotherapy-refractory disease (1).

Initiation of mitotic catastrophe is an appealing mechanism of tumor cell death because it may also function in tumor cells that have developed resistance to apoptosis following exposure to several rounds using conventional chemotherapeutic drugs. The extensive and durable DNA damage elicited by bendamustine (9) with concomitant inhibition of M-phase–specific checkpoints as well as the observance of multinucleation/micronucleation suggest that mitotic catastrophe is occurring in the treated cells. These latter activities of bendamustine were shown here to be either stronger than other alkylators at equitoxic doses or unique to bendamustine. In addition, bendamustine seems to activate different DNA repair pathways than traditional nitrogen mustards. Cytotoxic activity of bendamustine, but not phosphoramide, was enhanced by inhibition of the base excision repair DNA damage response pathway, suggesting that bendamustine is more dependent on this response. In contrast, the addition of an alkyltransferase inhibitor (O6-benzylguanine) potentiated phosphoramide cytotoxicity but had no effect on the activity of bendamustine. These data suggest that bendamustine does not induce an alkyltransferase mechanism of DNA repair. Past studies have also documented increased cytotoxicity of melphalan and chlorambucil, in addition to phosphoramide, in the presence of O6-benzylguanine (43). These data suggest that bendamustine may be less susceptible to drug resistance based on alkylguanyl transferase expression.

These mechanistic differences may offer potential explanations for the efficacy of bendamustine in patients with relapsed disease, which is refractory to other alkylating agents. The differences described here, as well as the activity of bendamustine in patients refractory to chemotherapy, support further study of bendamustine combined with other alkylating agents. Consequently, bendamustine represents an important addition to the armamentarium of the clinician for the treatment of patients with relapsed, refractory indolent non–Hodgkin's lymphoma and potentially many other cancers.

The costs of publication of this article were defrayed in part by the payment of page charges. This article must therefore be hereby marked advertisement in accordance with 18 U.S.C. Section 1734 solely to indicate this fact.

We thank the Developmental Therapeutics Department of the NCI/NIH for testing bendamustine in their anticancer screening program and for supplying phosphoramide mustard cyclohexylamine salt, Dr. Charlie Rodi for helpful suggestions and discussion, and Bridget O'Keefe, Ph.D., for writing support.

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