Abstract
Background Multiple myeloma, a malignancy of the antibody-secreting plasma cells, remains incurable by current therapy. However, the proteasome inhibitor bortezomib and other new drugs are revolutionizing its treatment. It remains unclear why myelomas are peculiarly sensitive to bortezomib, or what causes primary or acquired resistance. The ‘unfolded protein response’ is necessary for folding and assembly of immunoglobulin chains in both normal and malignant plasma cells, as well as for the disposal of incorrectly folded or unpaired chains via the ubiquitin-proteasome pathway. We tested the hypothesis that levels of transcription factor XBP-1, a major regulator of the unfolded protein response, predict response to bortezomib.Design and Methods Expression of XBP-1 and other regulators of the unfolded protein response were measured in myeloma and other cancer cell lines and two cohorts of patients with refractory myeloma and correlated with sensitivity/response to bortezomib. Bortezomib-resistant myeloma cell lines were derived and the effects on expression of unfolded protein response regulators, immunoglobulin secretion, proteasome activity and cross-resistance to cytotoxic drugs and tunicamycin determined. The consequences of manipulation of XBP-1 levels for sensitivity to bortezomib were tested.Results Low XBP-1 levels predicted poor response to bortezomib, both in vitro and in myeloma patients. Moreover, myeloma cell lines selected for resistance to bortezomib had down-regulated XBP-1 and immunoglobulin secretion. Expression of ATF6, another regulator of the unfolded protein response, also correlated with bortezomib sensitivity. Direct manipulation of XBP-1 levels had only modest effects on sensitivity to bortezomib, suggesting it is a surrogate marker of response to bortezomib rather than a target itself.Conclusions The unfolded protein response may be a relevant target pathway for proteasome inhibitors in the treatment of myeloma and its regulator XBP-1 is a potential response marker. (The BIR study was registered with Australian Clinical Trial Registry Number 12605000770662)Introduction
Even with autologous stem cell transplantation, the percentage of long-term survivors of myeloma is currently only 35–40%.1 The median survival time is 4 to 5 years.2–4 The relapse rate is high and relapsed myeloma is particularly resistant to conventional chemotherapy. Proteasome inhibitors are a new class of drugs which is particularly effective in myeloma compared with in most other cancers. Bortezomib was the first of the class approved for clinical use. In phase II/III clinical trials, 35–50% of relapsed and refractory myelomas were sensitive to bortezomib.5–8 The peculiar sensitivity of myeloma to this drug is not well understood, but the unfolded protein response (UPR) is a convincing target.9 Bortezomib is a specific and reversible inhibitor of chymotryptic activity of the 26S proteasome, the major cellular pathway of protein degradation and, as a consequence, its biological effects are numerous. Attention to its anticancer action has focused on nuclear factor-κB, p53, cyclin-dependent kinase inhibitors p21 and p27, apoptotic pathways, growth factor signaling, the interaction of myeloma cells and bone marrow stroma, angiogenesis, and stress responses.10–14 However, none of these effects has so far proven to be related to response to the drug and the mechanism by which bortezomb kills myeloma cells has remained elusive. Similarly, the causes of primary and acquired resistance to the drug are unknown.
Plasma cells, the normal counterparts of myeloma, are specialized, terminally differentiated secretory B lymphocytes capable of prodigious antigen-specific immunoglobulin production. The UPR is essential for the folding of both heavy and light immunoglobulin chains and their assembly.15–17 The UPR is also required for disposal of irreversibly misfolded polypeptides via the ubiquitin-proteasome pathway.18 Proteasome inhibition increases the accumulation of misfolded proteins and hence invokes the UPR at the same time as disrupting it. It is, therefore, possible that dependence on the UPR renders myeloma sensitive to proteasome inhibitors. There is some in vitro evidence that sensitivity of myeloma cell lines to bortezomib is related to a high level of immunoglobulin production,9 although serum immunoglobulin levels have not predicted response in clinical trials.
The transcription factor XBP-1 is a major regulator of the UPR, is expressed at high levels in myelomas compared with in other cancers and is indispensable for plasma cell development.19–22 Xbp-1-deficient mice lack plasma cells and have impaired immunoglobulin production.21 Myeloma cell lines in which XBP-1 expression was knocked down had higher apoptotic indices and reduced survival.23 Active XBP-1 is generated by unconventional extra-nuclear splicing of its mRNA by endoribonuclease IRE1, in response to exposed hydrophobic moieties on misfolded or unfolded proteins in the endoplasmic reticulum. Spliced XBP-1 mRNA encodes an active transcription factor for downstream stress response genes including ERDJ3, ERDj4, p58IPK, EDEM, HEDJ, EDEM, RAMP4 and protein disulfide isomerase-P5.24,25 Unspliced XBP-1 mRNA encodes an inactive or dominant negative protein lacking the transactivation domain.
In this study, we related XBP-1 expression to primary sensitivity or resistance of myeloma to bortezomib both in vitro and in patients, and with acquired resistance to bortezomib in vitro.
Design and Methods
XBP-1 assays
Spliced and unspliced XBP-1 mRNA differ by a 26-bp intron homologous to adjacent sequences, complicating the use of specific primers or Taqman probes to distinguish the two forms directly. Hence, total XBP-1 cDNA was amplified with primers spanning the intron; the relative abundance of the two forms of the mRNA was determined by quantification of the respective polymerase chain reaction (PCR) products.
Total RNA was extracted from myeloma cells using isophasic guanidine isothiocyanate:phenol (Tri Reagent, MRC) and treated with DNase I (Ambion). RNA quality was checked on a Bioanalyzer 2100 (Agilent) and RNA quantified by fluorescence (Ribogreen, Invitrogen). First strand cDNA synthesis was performed with 1 μg RNA from myeloma cell lines or 1–10 ng RNA from patients’ myeloma cells with SuperScript III (Invitrogen) and mixed oligo dT and random hexamer primers. Duplicate cDNA were prepared for each sample. Two quantitative real-time PCR reactions were performed for each of the cDNA, yielding four data points per sample. A Stratagene MX3000P instrument was used with the following cycling conditions: initial denaturation and activation of the polymerase at 94°C for 8 min, followed by 35 cycles of 30 s at 94°C, 64°C and 72°C, and 20 s at 85°C. The PCR reaction volume was 50 μL, consisting of 1.25 units AmpliTaq Gold Polymerase, 0.2 mM of each dNTP, 50 mM KCl, 10 mM Tris HCl pH 8.3, 2.5 mM MgCl2, 140 nM of each primer, 3% dimethyl sulfoxide (DMSO) and Sybr I Green 1:25,000 (Invitrogen). XBP-1 primers were: forward 5′-GGAGTTAAGACAGCGCTTGG-3′ and reverse 5′-GTCAATACCGCCAGAATCC-3′, at positions 461 and 613 respectively of GenBank sequence NM_005080. They span the intron and amplify spliced and unspliced XBP-1 mRNA with similar efficiencies (~100%). Acquisition of fluorescence was at 85°C, at which any primer dimers were denatured. XBP-1 mRNA levels were normalized to the level of β-actin mRNA as this had the least variable expression in human myeloma cell lines compared with other housekeeping genes tested (BCR, RPL5a, α-tubulin, 18S rRNA and ubiquitin) and its level of expression was closest to that of XBP-1. β-actin primers were: forward 5′-ACCAACTGGGACGACATGGAGAAAA-3′ and reverse 5′-CGCACGATTTCCCGCTCGGC-3′; amplification parameters as for XBP-1. Copy numbers of both genes were derived from standard curves based on plasmid-cloned templates diluted to known concentrations. PCR products were sequenced and the assay validated by northern analysis of myeloma cell lines. GAPDH was used as the housekeeping gene for analysis of cell lines that had been treated with bortezomib, because bortezomib reduced β-Actin mRNA expression. β-Actin was used as the housekeeping gene for the clinical samples because biopsies were taken prior to bortezomib treatment.
The ratio of spliced:unspliced XBP-1 PCR products was determined using a separate PCR analysis carried out under identical conditions but with individual reactions stopped in log phase at a fluorescence threshold of 30,000 on the Stratagene MX3000P, to allow for different starting quantities of template. The PCR products were quantified by microelectrophoresis on an Agilent Bioanalyzer 2100P. There was a small, systematic underestimation of the spliced fraction, which was corrected by reference to a standard curve derived from known ratios of spliced:unspliced XBP-1 plasmid templates amplified in parallel.
Cell lines and cell culture
Human cell lines used in this study were the myelomas RPMI-8226, KMS-11, KMS-18, OPM2, H929 and U266, the lymphoblas-toid CCRF-CEM, Jurkat & WL2,26 the Burkitt lymphomas Ambodi, Elijah, Ag879, Puy, Ramos and WW-1-BL, prostate carcinomas PC3, DU145 and LNCaP, lung adenocarcinoma A549, neuroblastoma SHEP, colon carcinoma Widr, cervical cancer HeLa, ovarian carcinoma 2008 and HEK293 (embryonic kidney cells). Myeloma, lymphoid and prostate cell lines were cultured in RPMI-1640 (Gibco) with 10% fetal calf serum, 50 μM 2-mercaptoethanol, and penicillin and streptomycin (complete medium). The other cell lines were cultured in Dulbecco’s modified Eagle’s medium plus 10% supplemented calf serum (Hyclone) and antibiotics as above. All cells were maintained in a humidified incubator at 37°C with a 5% CO2 atmosphere.
Cytotoxicity assays
Cytotoxicity assays for non-myeloma cell lines were per-formed essentially as described elsewhere;27 modifications were made to allow for the slow growth, non-adherence and dilution-sensitivity of myeloma lines. Briefly, cells were seeded at 10,000 per well in 96-well plates in RPMI-1640 without phenol red (which interferes with the detection of fluorescence). The drug was applied in a concentration series along the long axis of the plate. After 5 days of proliferation, cells were permeabilized in situ and DNA stained by adding 5% (v/v) of 21X lysis buffer (1X was 10 mM TrisHCl pH 7.4, 5 mM EDTA, 0.1% Triton X-100 and Sybr I Green (Invitrogen) 1:4000). The lysate was mixed thoroughly with a multi-channel pipette. The number of cells was determined by fluorescence, measured on a plate reader with 485 nm excitation and 535 nm emission filters. The IC50 is the concentration of drug that inhibits proliferation to 50% that of the untreated controls.
Patients
The first cohort included 17 patients with relapsed or refractory myeloma all treated with bortezomib on days 1, 4, 8 and 11 of a 21-day cycle, for a minimum of two cycles, between 2004 and 2007. Nine patients were treated at the Royal Prince Alfred Hospital with a dose of 1.3 mg/m; three of these patients concurrently received dexamethasone. Eight patients were treated as part of the multicenter Bortezomib Induction and Re-induction (BIR) study, a pilot study to explore the tolerability and efficacy of bortezomib as part of induction and post-transplant therapy in multiple myeloma; these patients had persistent disease 8 weeks after high-dose melphalan and autologous stem cell transplantation and were then treated with bortezomib (1.0 mg/m) and a maintenance dose of prednisone (50 mg, on alternate days). The study was approved by the Sydney South West Area Health Service Ethics Committee, Eastern Zone.
A second set of 25 sepcimens consisted of bone marrow samples from the Victorian Cancer BioBank; these were pre-treatment biopsies from myeloma patients treated with bortezomib as a single agent or in combination with corticosteroids. Patients treated concurrently with other drugs were excluded. The project was approved by the Biobank Ethics Committee and Tissue Management Research Committee at the Peter MacCallum Cancer Centre.
Purification of myeloma cells
Buffy coat cells from bone marrow biopsies were cryopreserved prior to analysis. Thawed cells were washed in phosphate-buffered saline (PBS). A small aliquot of each sample was fixed in 4% formaldehyde in PBS and permeabilized with 0.5% saponin in PBS. The remaining cells were stained with fluorochrome-antibody conjugates anti-CD38-PE and anti-CD14-APC (Becton Dickinson) and DAPI (Fluka) as a vital dye. The fixed, permeabilized aliquots were stained for CD38 and cytoplasmic kappa and lambda light chains (FITC conjugates, DAKO). Stained cells were sorted on a Becton-Dickinson FACSAria. The fixed sample was used to verify correct gating of the myeloma population - brightest for CD38 and cytoplasmic light chain. The corresponding live cell population gated was CD38, CD14 (to exclude non-myeloma monocytic cells) and DAPI. Yields were 5,000–500,000 cells, which were stored at −70°C until RNA extraction.
Sodium dodecyl sulfate polyacrylamide gel electrophoresis and immunoblot analysis
Cells were lysed by three freeze-thaw cycles in 0.1% Triton-X 100, 10 mM Tris HCl pH 8.0, 10 mM MgCl2, 2 mM CaCl2 and a protease inhibitor cocktail (Sigma). The lysate was clarified by centrifugation at 14,000 g at 4°C. Proteins were quantified by the Bradford assay (BioRad). Lysates were mixed 1:1 with 2X Laemmli buffer, boiled for 3 min and fractionated on 10% sodium dodecyl sulfate polyacrylamide gel electrophoresis (SDS-PAGE) gels. Proteins were transferred to a polyvinylidene fluoride membrane (Millipore) by electroblotting. Membranes were blocked in 5% blotto [5% w/v skimmed milk powder in PBST (PBS plus 0.1% v/v Tween-20)] for 1 h then incubated with monoclonal antibodies in 1% blotto in PBST to detect phosphorylated eIF2-α (119A11, Cell Signaling Technology), BiP (C50B12, Cell Signaling Technology), ATF6 (70B1413.1, Imgenex), or GAPDH (sc-47724, Santa Cruz Biotechnology). Membranes were washed three times for 15 min in PBST. Specifically bound antibodies were then detected with horseradish peroxidase-conjugated secondary antibodies, visualized by enhanced chemiluminescence (West Pico, Pierce).
Immunoglobulin secretion
Cells were seeded at 10/mL in complete medium. After 24 h, the culture supernatant was clarified by centrifugation. Secreted immunoglobulin therein was assayed by a sandwich enzyme-linked immunosorbent assay (ELISA), essentially as described by Avery et al.28 Capture antisera (SouthernBiotech) were goat F(ab’)2 anti-human IgG or goat F(ab’)2 anti-human IgL kappa, both at 1:1000. Detection antisera were biotinylated versions of the capture antisera. Standards were purified human IgG (Sigma, I8640), a dilution series in 1% bovine serum albumin in PBS.
Proteasome activity
Proteasome chymotryptic activity was assayed by cleavage of a pro-luminescent peptide-luciferin substrate – Proteasome Glo (Promega), according to the manufacturer’s instructions. Luminescence was measured on a Wallach Victor plate reader.
Over-expression and knockdown of XBP-1
Unspliced and spliced XBP-1 cDNA were cloned based on the sequence of GenBank/NM005080 and inserted into the retroviral vector pLZRS-IRES-EGFP. Human myeloma cell lines H929 and RPMI-8226 were transduced. Stably transduced cells were sorted by flow cytometry using green fluorescent protein (GFP) as the marker.
A set of five candidate retroviral short hairpin RNA (shRNA) for knockdown of XBP-1 were obtained in lentiviral vectors as VSVG-pseudotype virus from the MISSION TRC-Hs 1.0 (Human) shRNA Target Set (Sigma). Transduced H929 and RPMI-8226 cells were selected by puromycin resistance (2 μg/mL).
Statistical analysis
The distribution of XBP-1 levels was heavily skewed so hypothesis testing was performed on logarithms of the raw data, using two-tailed, unpaired t-tests. The spread of the data was less for the cell lines so Spearman’s non-parametric R was used to quantify correlations. Analyses were performed with Graphpad Prism 4.
Results
Sensitivity of myeloma cell lines to bortezomib is associated with high XBP-1 mRNA levels
Six human myeloma cell lines were tested for bortezomib sensitivity by cytotoxicity assays and their XBP-1 mRNA levels determined by PCR. As XBP-1 is a stress response gene whose expression can vary significantly with cell density, medium depletion and other culture conditions, it was crucial to quantify XBP-1 mRNA with the same aliquot of cells used for analysis of sensitivity to bortezomib. Total XBP-1 mRNA levels were determined by real-time PCR with primers spanning the 26 bp intron. The ratios of spliced:unspliced XBP-1 mRNA were determined by separate semiquantitative PCR in which the log-phase yields of spliced and unspliced PCR products were compared by microelectrophoresis and corrected by reference to standards.
Total XBP-1 mRNA levels showed a strong inverse correlation with the IC50 values for bortezomib (Spearman’s r = −0.89; Figure 1A) i.e. high levels of XBP-1 were associated with sensitivity to the drug. Unspliced XBP-1 levels showed a similar relationship (Figure 1B), as the unspliced transcript was the dominant form of the transcript in the myeloma cell lines tested and, indeed, most other tumor cell lines tested (Online Supplementary Figure S1). Spliced XBP-1 mRNA was the minority species and its correlation with bortezomib sensitivity was weaker (r = −0.60; Figure 1C), due to an outlier. Although the ratio of spliced:unspliced XBP-1 mRNA might also indicate the degree activation of the UPR, it was not related to bortezomib sensitivity (Figure 1D).
The relationship between XBP-1 mRNA levels and sensitivity to bortezomib was much weaker in a panel of non-myeloma human lymphoid cell lines including Burkitt lymphomas, T lymphoblastoid lines, one lymphoplasmacytoid line and a panel of solid tumor cell lines including neuroblastoma, lung cancer, colon cancer, ovarian cancer, cervical cancer and prostate cancer (Figure 1E). It may, however, be noted that the levels of XBP-1 mRNA in the non-myeloma cell lines were often much lower than in the myelomas, which again suggests that high XBP-1 levels are indicative of sensitivity to bortezomib.
Other components of the UPR were examined by immunoblots. It is interesting that ATF6 levels were also higher in bortezomib-sensitive myeloma cell lines (Figure 1F) whereas neither BiP, the main molecular chaperone in the endoplasmic reticulum, nor phosphorylated eIF2a, were related to sensitivity. ATF6 is a regulator of the UPR with functions similar to XBP-1.
XBP-1 levels correlate with response of clinical myelomas to bortezomib
A retrospective pilot study was conducted of 17 relapsed or refractory myeloma patients treated with bortezomib alone or in combination with a corticosteroid. The patients’ characteristics are presented in Table 1. Briefly, responders and non-responders did not differ in terms of age, gender, isotype of myeloma, or the number of previous treatments. Myeloma cells were isolated from cryopreserved bone marrow biopsies collected prior to treatment with bortezomib. The time between bone marrow collection and bortezomib treatment ranged from 1 to 33 months. Myeloma cells were purified by meticulously standardized flow cytometry. Responses to bortezomib treatment at week 3 of cycle 2 were categorized according to criteria of the European Group for Blood and Marrow Transplantation;29 the cohort consisted of complete, partial, minimal and non-responders. Briefly, a complete response was defined as a negative result on immunofixation, a partial response as a greater than 50% reduction of paraprotein and a minimal response as a 25–49% reduction of paraprotein; non-responders were patients who had progressive disease and those who did not satisfy plateau or minimal response criteria.
The purified myeloma cells showed progressively less total XBP-1 mRNA according to the level of response, from complete response to partial response to minimal response to no response (Figure 2A). Indeed, non-responders all had lower XBP-1 levels than all the responders (P<0.0001). The results were similar when considering unspliced or spliced XBP-1 (Figure 2B,C). This suggests that XBP-1 levels prior to bortezomib treatment might be useful predictors of response in the clinical setting if the myeloma cells can be efficiently purified. The ratio of spliced:unspliced XBP-1 mRNA was, however, unrelated to response (Figure 2D), consistent with the in vitro results.
An independent analysis was performed on a second set of samples from myeloma patients from Victoria, Australia. A similar trend was evident, albeit weaker (Figure 2E). This set of samples consisted of banked marrow biopsies obtained from more diverse sources and included samples from a higher proportion of patients (21/25) treated with corticosteroids (in some cases at a high-dose) concurrently with bortezomib, which partially accounts for the presence of responders with low XBP-1 levels.
Down-regulation of XBP-1, ATF6 and immunoglobulin synthesis in bortezomib-resistant myeloma cell lines
Bortezomib-resistant sub-lines of the KMS-11 myeloma cell line were derived from long-term adaptation to continuous exposure to increasing concentrations of bortezomib, ultimately tolerating 3- to 4-fold the starting IC50. These resistant sub-lines showed no loss of sensitivity of the proteasome itself to bortezomib, as indicated by inhibition of proteolysis of a fluorescent substrate probe (Figure 3A). Thus the resistance could not be due to mutation of the proteasome. However, in multiple independently derived resistant sub-lines, total XBP-1 mRNA levels were substantially reduced compared to those of the bortezomib-sensitive parent cell line KMS-11 (Figure 3B); the greater the resistance to bortezomib, the greater the reduction in XBP-1 levels. This reduction was not a short-term artifact of exposure to bortezomib as it persisted for at least 48 h after bortezomib had been washed off. The down-regulation of total XBP-1 mRNA in bortezomib-resistant myeloma lines was accompanied by a reduction in the proportion of the spliced form of the transcript (Figure 3C), which encodes the active XBP-1 protein. Together, these results suggest a marked suppression of elements of the UPR accompanying acquisition of resistance to bortezomib. Immunoblot analysis of other UPR components (Figure 3D) indicated that resistant sub-lines also had reduced expression of the transcription factor ATF6, which is responsible for activation of chaperones in the UPR, a function similar to that of XBP-1. The expression of phosphorylated-eIF2α was consistently up-regulated in the bortezomib-resistant sub-lines (Figure 3D), suggesting overall down-regulation of protein synthesis.
Indeed, immunoglobulin production was suppressed in the bortezomib-resistant myeloma sub-lines, as determined by ELISA (Figure 3E) or immunoblot analysis (data not shown). This suggests that myeloma cells adapt to bortezomib by reducing immunoglobulin synthesis, which would reduce dependence on, and permit down-regulation of, other elements of the UPR.
Bortezomib-resistant cell lines are sensitized to agents that induce the unfolded protein response
Some components of the UPR have been implicated in resistance to conventional chemotherapy. Our results suggest that elements of the UPR are down-regulated in acquired bortezomib resistance. If this is true, then bortezomib resistance might be accompanied by sensitization to conventional chemotherapy and agents that induce the UPR. Doxorubicin and melphalan are commonly used in the treatment of myeloma. Doxorubicin intercalates DNA and also generates reactive oxygen species that can damage proteins. Melphalan alkylates DNA and also proteins. Tunicamycin induces endoplasmic reticulum stress by inhibiting glycosylation of nascent proteins. Two independent pools of bortezomib-resistant myeloma cells and their parent cell line were, therefore, tested for sensitivity to melphalan, doxorubicin and tunicamycin. The resistant lines were modestly sensitized to melphalan and tunicamycin and possibly also to doxorubicin (Table 2), as predicted.
Modulation of XBP-1 levels has little effect on sensitivity to bortezomib
XBP-1 mRNA levels in H929 and RPMI-8226 cells were knocked down by ectopic expression of shRNA in lentiviral vectors. H929 cells had high starting levels of XBP-1 and the knockdown resulted in decreased sensitivity to bortezomib although this was not statistically significant (Figure 4A). RPMI-8226 cells had a low initial level of XBP-1 and knockdown to even lower levels had no effect on sensitivity to bortezomib.
The consequences of over-expressing either the spliced or unspliced form of XBP-1 were also investigated in RPMI-8226 cells, chosen for their low levels of the endogenous mRNA. High-level over-expression of each form was achieved (Figure 4B). However, transfectants of unspliced XBP-1 also showed marked elevation of spliced XBP-1, likely because there was a larger pool available for splicing by IRE-1. Similarly, when spliced XBP-1 was over-expressed, the levels of the unspliced form also increased. The transcription factor derived from the spliced form of XBP-1 has been shown to act on its own promoter, thus increasing transcription of the unspliced mRNA.23 Thus, despite altering the ratio of unspliced:spliced mRNA, the net effect on the relative influence of active versus inactive/dominant negative XBP-1 proteins was uncertain. Both manipulations sensitized RPMI-8226 cells to bortezomib, but the changes were modest and statistically significant only for transfectants of the spliced form (Figure 4C).
Discussion
Proteasome inhibitors and other new drugs are revolutionizing the treatment of myeloma. When the choice of several agents is available, markers associated with drug response provide the opportunity for optimizing combination chemotherapy for individual patients, avoiding needless side effects, and time and expense lost because of suboptimal regimens. Response markers highlight the relevant biological pathways affected by a drug and the changes which mediate drug resistance, thus indicating the way to better drugs and new drug targets.
Three independent lines of evidence support an association between XBP-1 levels and sensitivity to bortezomib: their correlation in myeloma cell lines, the corresponding relationship in clinical myeloma, and the down-regulation of XBP-1 and immunoglobulin production in myeloma cell lines with acquired resistance to bortezomib. These findings are consistent with the high levels of XBP-1 in myeloma and the fact that this malignancy is markedly more sensitive to bortezomib than are other cancers. The relationship between XBP-1 levels and sensitivity to bortezomib was weak in other tumor cell lines examined, which had lower levels of XBP-1. Reliance on the UPR to support active immunoglobulin synthesis may be the principal reason for the sensitivity of myelomas, as a class, to bortezomib whereas other factors would be more important in cells not so dependent on the UPR.
Results from both cohorts of myeloma patients indicated that low XBP-1 levels were associated with non-response, despite the limitations of these pilot studies. The samples from the Victorian cohort in particular were drawn from a wide variety of biopsy sources from patients who had been given different treatment regimens, many including steroids that mask the response to bortezomib. The intervals between biopsy and bortezomib treatment were highly variable, the handling of the biopsies was not controlled and there was likely technical variability between operators during the processing of the biopsies. Given that evidence for a relationship between XBP-1 levels and bortezomib sensitivity was nevertheless obtained, prospective studies are warranted with larger cohorts, employing standardized time points and procedures for the collection and handling of biopsies, treatment and assessment of treatment response.
Bagratuni et al. recently showed in a large study that spliced XBP-1 predicts outcome in patients treated with thalidomide.30 Yet, despite considerable interest in the effects of proteasome inhibitors on the UPR, XBP-1 had not previously been identified as a predictor of response for myelomas in, for example, several microarray studies completed so far.31–33 There are a number of factors that might have contributed to this discrepancy. The very low XBP-1 levels in non-responders could be masked by higher XBP-1 expression in other, contaminating cells from the marrow biopsies, placing a premium on adequate purification of the myeloma cells. Flow cytometry is arguably superior to panning in this respect. We were fortunate to have access to a small group of patients treated with bortezomib alone or with only steroids added. Such patients are already uncommon, as the response rate to combination chemotherapy with bortezomib is much higher than to the drug as a single agent.34–38 Analysis of bortezomib-resistant myeloma cell lines supports the view that the target pathway of the drug is the UPR. The reduced XBP-1 level in resistant cells was accompanied by down-regulation of ATF6, another regulator of the response. The up-regulation of phosphorylated eIF2α, which inhibits protein synthesis, and the reduced secretion of immunoglobulin point to dependence on the UPR for immunoglobulin synthesis as an Achilles-heel rendering myelomas sensitive to proteasome inhibitors.
Other cancers with an active UPR, such as prostate, breast and pancreas cancers, are also relatively sensitive to bortezomib. The original screening of the NCI tumor cell line panel identified prostate cancer as particularly sensitive39 and it is interesting that although only three prostate cell lines were examined in this study, the relationship between XBP-1 and bortezomib sensitivity held for that small group (Figure 1E). Bortezomib is also an effective treatment for mantle cell lymphoma40 and Waldenstrom's macrogobulinemia.41 While the reason for the sensitivity of mantle cell lymphoma to bortezomib is unknown, it is similar to myeloma in having a mature B-cell immunophenotype and strong expression of immunoglobulins, in this case surface Ig. It would, therefore, be of interest to test whether XBP-1 levels are significantly related to response in the context of clinical trials of bortezomib for cancers other than myeloma.
It is particularly interesting that resistance to bortezomib was accompanied by increased sensitivity to three other drugs. Thus, multidrug sensitivity, rather than multidrug resistance, may follow bortezomib treatment. If this were indeed to be the case, it would have important implications for the order in which bortezomib is employed vis other treatment options. It might also explain, in part, the high response rates obtained by combining cytotoxic drugs with bortezomib.35,36
The changes in sensitivity to bortezomib which followed manipulation of XBP-1 levels by over-expression or knockdown were in line with the correlation observed in other contexts. Even so, the modest scale of the effects suggests that XBP-1 does not determine sensitivity to proteasome inhibitors directly but is, rather, a surrogate marker of sensitivity. XBP-1 is a major regulator of the UPR so its normal level may reflect a corresponding degree of cellular dependence on the UPR. Changing XBP-1 mRNA levels need not affect that dependence strongly. This interpretation remains subject to the caveat that levels of the spliced and unspliced forms of XBP-1 could not be altered independently and the net effect was, therefore uncertain.
In summary, in the context of myeloma, high XBP-1 mRNA levels appear to be associated with sensitivity to bortezomib and low levels with resistance. XBP-1 levels constitute a potential bortezomib response marker, whose clinical utility needs to be confirmed in larger, controlled studies in patients. The value of these levels for predicting response to combination therapy or cross-resistance to other drugs also warrants investigation. The view that myeloma is inherently sensitive to proteasome inhibitors because of its dependence on the UPR is satisfying, being consistent with the known high levels of XBP-1 in plasma cells, myeloma and myeloma cell lines, the particular sensitivity of myeloma to the drugs, and the new observations presented here. This model suggests that elements of the UPR may be appropriate targets for new drugs for myeloma and also that drugs that induce the UPR will sensitize cells to proteasome inhibitors.
Acknowledgments
KMS-18 and U266 myeloma cell lines were gifts from Dr Andrew Spencer, The Alfred Hospital, Melbourne, Australia and Dr Daniel Sze, Faculty of Pharmacy, University of Sydney. The Burkitt lymphoma cell lines were gifts from Dr Denis Moss, Queensland Institute of Medical Research. Bortezomib was kindly supplied by Millennium Pharmaceuticals.
Footnotes
- Funding: this work was supported by the Anthony Rothe Memorial Trust Scholarship, International Myeloma Foundation Junior Investigator Award, Royal College of Pathologists of Australasia Research Award, and Leukaemia Foundation Scholarship to SL, and by the Cancer Institute NSW through a Scholar Award to SL and a fellowship to JA.
- The online version of this article has a Supplementary Appendix.
- Authorship and Disclosures The information provided by the authors about contributions from persons listed as authors and in acknowledgments is available with the full text of this paper at www.haematologica.org.
- Financial and other disclosures provided by the authors using the ICMJE (www.icmje.org) Uniform Format for Disclosure of Competing Interests are also available at www.haematologica.org.
- Received March 2, 2011.
- Revision received September 9, 2011.
- Accepted September 14, 2011.
References
- Attal M, Moreau P, Avet-Loiseau H, Harousseau JL. Stem cell transplantation in multiple myeloma. Hematology Hematology Am Soc Hematol Educ Program. 2007; 2007:311-6. Google Scholar
- Child JA, Morgan GJ, Davies FE, Owen RG, Bell SE, Hawkins K. High-dose chemotherapy with hematopoietic stem-cell rescue for multiple myeloma. N Engl J Med. 2003; 348(19):1875-83. PubMedhttps://doi.org/10.1056/NEJMoa022340Google Scholar
- Fermand JP, Katsahian S, Divine M, Leblond V, Dreyfus F, Macro M. High-dose therapy and autologous blood stem-cell transplantation compared with conventional treatment in myeloma patients aged 55 to 65 years: long-term results of a randomized control trial from the Group Myelome-Autogreffe. J Clin Oncol. 2005; 23(36):9227-33. PubMedhttps://doi.org/10.1200/JCO.2005.03.0551Google Scholar
- Lenhoff S, Hjorth M, Turesson I, Westin J, Gimsing P, Wisloff F. Intensive therapy for multiple myeloma in patients younger than 60 years. Long-term results focusing on the effect of the degree of response on survival and relapse pattern after transplantation. Haematologica. 2006; 91(9):1228-33. PubMedGoogle Scholar
- Jagannath S, Barlogie B, Berenson J, Siegel D, Irwin D, Richardson PG. A phase 2 study of two doses of bortezomib in relapsed or refractory myeloma. Br J Haematol. 2004; 127(2):165-72. PubMedhttps://doi.org/10.1111/j.1365-2141.2004.05188.xGoogle Scholar
- Richardson PG, Barlogie B, Berenson J, Singhal S, Jagannath S, Irwin D. A phase 2 study of bortezomib in relapsed, refractory myeloma.[see comment]. N Engl J Med. 2003; 348(26):2609-17. PubMedhttps://doi.org/10.1056/NEJMoa030288Google Scholar
- Richardson PG, Barlogie B, Berenson J, Singhal S, Jagannath S, Irwin D. A phase 2 study of bortezomib in relapsed, refractory myeloma. N Engl J Med. 2003; 348(26):2609-17. PubMedhttps://doi.org/10.1056/NEJMoa030288Google Scholar
- Richardson PG, Sonneveld P, Schuster MW, Irwin D, Stadtmauer EA, Facon T. Bortezomib or high-dose dexamethasone for relapsed multiple myeloma. N Engl J Med. 2005; 352(24):2487-98. PubMedhttps://doi.org/10.1056/NEJMoa043445Google Scholar
- Meister S, Schubert U, Neubert K, Herrmann K, Burger R, Gramatzki M. Extensive immunoglobulin production sensitizes myeloma cells for proteasome inhibition. Cancer Res. 2007; 67(4):1783-92. PubMedhttps://doi.org/10.1158/0008-5472.CAN-06-2258Google Scholar
- An WG, Hwang SG, Trepel JB, Blagosklonny MV. Protease inhibitor-induced apoptosis: accumulation of wt p53, p21WAF1/CIP1, and induction of apoptosis are independent markers of proteasome inhibition. Leukemia. 2000; 14(7):1276-83. PubMedhttps://doi.org/10.1038/sj.leu.2401812Google Scholar
- Hideshima T, Chauhan D, Richardson P, Mitsiades C, Mitsiades N, Hayashi T. NF-kappa B as a therapeutic target in multiple myeloma. J Biol Chem. 2002; 277(19):16639-47. https://doi.org/10.1074/jbc.M200360200Google Scholar
- Hideshima T, Mitsiades C, Akiyama M, Hayashi T, Chauhan D, Richardson P. Molecular mechanisms mediating antimyeloma activity of proteasome inhibitor PS-341. Blood. 2003; 101(4):1530-4. PubMedhttps://doi.org/10.1182/blood-2002-08-2543Google Scholar
- Hideshima T, Richardson P, Chauhan D, Palombella VJ, Elliott PJ, Adams J. The proteasome inhibitor PS-341 inhibits growth, induces apoptosis, and overcomes drug resistance in human multiple myeloma cells. Cancer Res. 2001; 61(7):3071-6. PubMedGoogle Scholar
- Mitsiades N, Mitsiades CS, Poulaki V, Chauhan D, Fanourakis G, Gu X. Molecular sequelae of proteasome inhibition in human multiple myeloma cells. Proc Natl Acad Sci USA. 2002; 99(22):14374-9. PubMedhttps://doi.org/10.1073/pnas.202445099Google Scholar
- Fagioli C, Mezghrani A, Sitia R. Reduction of interchain disulfide bonds precedes the dislocation of Ig-mu chains from the endoplasmic reticulum to the cytosol for proteasomal degradation. J Biol Chem. 2001; 276(44):40962-7. PubMedhttps://doi.org/10.1074/jbc.M107456200Google Scholar
- Lee YK, Brewer JW, Hellman R, Hendershot LM. BiP and immunoglobulin light chain cooperate to control the folding of heavy chain and ensure the fidelity of immunoglobulin assembly. Mol Biol Cell. 1999; 10(7):2209-19. PubMedhttps://doi.org/10.1091/mbc.10.7.2209Google Scholar
- O'Hare T, Wiens GD, Whitcomb EA, Enns CA, Rittenberg MB. Cutting edge: proteasome involvement in the degradation of unassembled Ig light chains. J Immunol. 1999; 163(1):11-4. PubMedGoogle Scholar
- Imai J, Yashiroda H, Maruya M, Yahara I, Tanaka K. Proteasomes and molecular chaperones: cellular machinery responsible for folding and destruction of unfolded proteins. Cell Cycle. 2003; 2(6):585-90. PubMedGoogle Scholar
- Iwakoshi NN, Lee AH, Glimcher LH. The X-box binding protein-1 transcription factor is required for plasma cell differentiation and the unfolded protein response. Immunol Rev. 2003; 194:29-38. PubMedhttps://doi.org/10.1034/j.1600-065X.2003.00057.xGoogle Scholar
- Iwakoshi NN, Lee AH, Vallabhajosyula P, Otipoby KL, Rajewsky K, Glimcher LH. Plasma cell differentiation and the unfolded protein response intersect at the transcription factor XBP-1.[see comment]. Nat Immunol. 2003; 4(4):321-9. PubMedhttps://doi.org/10.1038/ni907Google Scholar
- Reimold AM, Iwakoshi NN, Manis J, Vallabhajosyula P, Szomolanyi-Tsuda E, Gravallese EM. Plasma cell differentiation requires the transcription factor XBP-1. Nature. 2001; 412(6844):300-7. PubMedhttps://doi.org/10.1038/35085509Google Scholar
- Shaffer AL, Shapiro-Shelef M, Iwakoshi NN, Lee AH, Qian SB, Zhao H. XBP1, downstream of Blimp-1, expands the secretory apparatus and other organelles, and increases protein synthesis in plasma cell differentiation. Immunity. 2004; 21(1):81-93. PubMedhttps://doi.org/10.1016/j.immuni.2004.06.010Google Scholar
- Lee AH, Iwakoshi NN, Anderson KC, Glimcher LH. Proteasome inhibitors disrupt the unfolded protein response in myeloma cells. Proc Natl Acad Sci USA. 2003; 100(17):9946-51. PubMedhttps://doi.org/10.1073/pnas.1334037100Google Scholar
- Lee AH, Iwakoshi NN, Glimcher LH. XBP-1 regulates a subset of endoplasmic reticulum resident chaperone genes in the unfolded protein response. Mol Cell Biol. 2003; 23(21):7448-59. PubMedhttps://doi.org/10.1128/MCB.23.21.7448-7459.2003Google Scholar
- Shen Y, Hendershot LM. Identification of ERdj3 and OBF-1/BOB-1/OCA-B as direct targets of XBP-1 during plasma cell differentiation. J Immunol. 2007; 179(5):2969-78. PubMedhttps://doi.org/10.4049/jimmunol.179.5.2969Google Scholar
- Warburton P, Joshua DE, Ioannidis R, Brown R, Yuen E, Gibson J. Characterisation of a t(14;18) germinal centre cell line. Proceedings of the Haematology Society of Australia. 1990; 60Google Scholar
- Allen JD, Jackson SC, Schinkel AH. A mutation hot spot in the Bcrp1 (Abcg2) multidrug transporter in mouse cell lines selected for Doxorubicin resistance. Cancer Res. 2002; 62(8):2294-9. PubMedGoogle Scholar
- Avery DT, Bryant VL, Ma CS, de Waal Malefyt R, Tangye SG. IL-21-induced isotype switching to IgG and IgA by human naive B cells is differentially regulated by IL-4. J Immunol. 2008; 181(3):1767-79. PubMedhttps://doi.org/10.4049/jimmunol.181.3.1767Google Scholar
- Blade J, Samson D, Reece D, Apperley J, Bjorkstrand B, Gahrton G. Criteria for evaluating disease response and progression in patients with multiple myeloma treated by high-dose therapy and haemopoietic stem cell transplantation. Myeloma Subcommittee of the EBMT. European Group for Blood and Marrow Transplant. Br J Haematol. 1998; 102(5):1115-23. PubMedhttps://doi.org/10.1046/j.1365-2141.1998.00930.xGoogle Scholar
- Bagratuni T, Wu P, Gonzalez de Castro D, Davenport EL, Dickens NJ, Walker BA. XBP1s levels are implicated in the biology and outcome of myeloma mediating different clinical outcomes to thalidomide-based treatments. Blood. 116(2):250-3. Google Scholar
- Mulligan G, Mitsiades C, Bryant B, Zhan F, Chng WJ, Roels S. Gene expression profiling and correlation with outcome in clinical trials of the proteasome inhibitor bortezomib. Blood. 2007; 109(8):3177-88. PubMedhttps://doi.org/10.1182/blood-2006-09-044974Google Scholar
- Shringarpure R, Catley L, Bhole D, Burger R, Podar K, Tai YT. Gene expression analysis of B-lymphoma cells resistant and sensitive to bortezomib. Br J Haematol. 2006; 134(2):145-56. PubMedhttps://doi.org/10.1111/j.1365-2141.2006.06132.xGoogle Scholar
- Zhan F, Barlogie B, Mulligan G, Shaughnessy JD, Bryant B. High-risk myeloma: a gene expression based risk-stratification model for newly diagnosed multiple myeloma treated with high-dose therapy is predictive of outcome in relapsed disease treated with single-agent bortezomib or high-dose dexamethasone. Blood. 2008; 111(2):968-9. PubMedhttps://doi.org/10.1182/blood-2007-10-119321Google Scholar
- Oakervee HE, Popat R, Curry N, Smith P, Morris C, Drake M. PAD combination therapy (PS-341/bortezomib, doxorubicin and dexamethasone) for previously untreated patients with multiple myeloma. Br J Haematol. 2005; 129(6):755-62. PubMedhttps://doi.org/10.1111/j.1365-2141.2005.05519.xGoogle Scholar
- Jagannath S, Durie BG, Wolf J, Camacho E, Irwin D, Lutzky J. Bortezomib therapy alone and in combination with dexamethasone for previously untreated symptomatic multiple myeloma. Br J Haematol. 2005; 129(6):776-83. PubMedhttps://doi.org/10.1111/j.1365-2141.2005.05540.xGoogle Scholar
- Jagannath S, Richardson PG, Barlogie B, Berenson JR, Singhal S, Irwin D. Bortezomib in combination with dexamethasone for the treatment of patients with relapsed and/or refractory multiple myeloma with less than optimal response to bortezomib alone. Haematologica. 2006; 91(7):929-34. PubMedGoogle Scholar
- Orlowski RZ, Nagler A, Sonneveld P, Blade J, Hajek R, Spencer A. Randomized phase III study of pegylated liposomal doxorubicin plus bortezomib compared with bortezomib alone in relapsed or refractory multiple myeloma: combination therapy improves time to progression. J Clin Oncol. 2007; 25(25):3892-901. PubMedhttps://doi.org/10.1200/JCO.2006.10.5460Google Scholar
- Palumbo A, Ambrosini MT, Benevolo G, Pregno P, Pescosta N, Callea V. Bortezomib, melphalan, prednisone, and thalidomide for relapsed multiple myeloma. Blood. 2007; 109(7):2767-72. PubMedhttps://doi.org/10.1182/blood-2006-08-042275Google Scholar
- Adams J, Palombella VJ, Sausville EA, Johnson J, Destree A, Lazarus DD. Proteasome inhibitors: a novel class of potent and effective antitumor agents. Cancer Res. 1999; 59(11):2615-22. PubMedGoogle Scholar
- Fisher RI, Bernstein SH, Kahl BS, Djulbegovic B, Robertson MJ, de Vos S. Multicenter phase II study of bortezomib in patients with relapsed or refractory mantle cell lymphoma.[see comment]. J Clin Oncol. 2006; 24(30):4867-74. PubMedhttps://doi.org/10.1200/JCO.2006.07.9665Google Scholar
- Treon SP, Ioakimidis L, Soumerai JD, Patterson CJ, Sheehy P, Nelson M. Primary therapy of Waldenstrom macroglobulinemia with bortezomib, dexamethasone, and rituximab: WMCTG clinical trial 05–180. J Clin Oncol. 2009; 27(23):3830-5. PubMedhttps://doi.org/10.1200/JCO.2008.20.4677Google Scholar