Erlotinib (OSI-774)-induced inhibition of transitional cell carcinoma of bladder cell line growth is enhanced by interferon-α

Authors


Jia-Lin Yang, Oncology Research Centre, Prince of Wales Hospital, Barker Street, Randwick, Sydney, NSW, 2031, Australia.
e-mail: j.yang@unsw.edu.au

Abstract

OBJECTIVE

To examine whether erlotinib gives similar results to gefitinib, a small molecule epidermal growth factor receptor (HER1/EGFR) tyrosine kinase (TK) inhibitor that inhibits the growth of human bladder cancer cell lines in vitro, and given that interferon-α (IFNα) promotes an antiproliferative effect of HER1/EGFR inhibitors on colon cancer cell lines, to also determine the effects of erlotinib alone or together with INFα on bladder cancer cell lines, and whether sensitivity is influenced by HER1/EGFR mutation status.

MATERIALS AND METHODS

Seven bladder cancer cell lines were characterized for HER1/EGFR expression, then treated with erlotinib alone, IFNα alone, or IFNα plus erlotinib. Cell growth inhibition was assessed by crystal-violet staining and HER1/EGFR expression by flow cytometry. Synergy was evaluated using the combination index of Chou and Talalay. DNA from these cell lines in the linear growth phase and from 14 bladder cancer tissue samples were tested for HER1/EGFRTK mutations.

RESULTS

Cell-surface HER1/EGFR expression was present in all seven bladder cancer cell lines. Both erlotinib and IFNα independently were significantly antiproliferative, and combined treatment synergistically enhanced the sensitivity in six of the seven cell lines. No bladder cancer cell lines or tissues tested expressed HER1/EGFRTK mutations.

CONCLUSION

Erlotinib inhibits the growth of human bladder cancer cell lines. Enhanced inhibition in the presence of IFNα is not determined by the presence of HER1/EGFRTK mutations. This study might have clinical implications for improving the treatment of bladder cancer.

Abbreviations
EGF(R)

epidermal growth factor (receptor)

TK

tyrosine kinase

EDx

the effective dose for x% inhibition

IFN

interferon

DGGE

denaturing gradient gel electrophoresis

CoI

combination index

PDGF

platelet-derived growth factor.

INTRODUCTION

Bladder cancer is the fourth most common type of cancer in men and the eighth in women [1]. In the USA, bladder cancer occurs more in Caucasians than in African-Americans and Hispanics. With ≈132 000 directly related deaths in 2000 worldwide [2], there are currently no cures for relapsed or inoperable patients with invasive tumours [3]. New therapies are needed for progressive tumours.

Targeted therapies have been used successfully for treating cancers, e.g. erlotinib (an epidermal growth factor receptor, HER1/EGFR, tyrosine kinase, TK, inhibitor) for lung cancer [4] gives a survival benefit with minimal side-effects to patients with sensitive tumours. HER1/EGFR and its signals contribute to cell-cycle progression, angiogenesis, metastatic cancer spread, and inhibition of apoptosis. In bladder cancer, HER1/EGFR expression is often dysregulated, possibly contributing to the growth and progression of the tumours [5]. Alterations occur in the expression of the genes of both the receptors and ligands of the four members of the HER (ERBB) gene family [6,7]. Prognosis appears to be related to the relative expression of each of the different receptor and ligand genes in combination. Increased cell replication can occur through enhanced stimulation by external ligand or by mutation of HER/EGFR in the extracellular domain and autocrine growth enhancement in the absence of external stimulation [5]. High levels or over-expression of HER1/EGFR are associated with aggressive disease and a poor clinical outcome [8,9]. However, there are no reports on the clinical treatment of bladder cancers using HER1/EGFR inhibitors. One of these, gefitinib, inhibits the growth of human bladder cancer cell lines in vitro[10] and in vivo[11]. We hypothesized that erlotinib would have similar activity.

There have been several clinical trials, particularly in lung cancer, of EGFR-targeted therapy [4]. As only a minority of patients in these trials benefited from HER1/EGFR-targeted therapy (given singly or together with chemotherapy [4,5]), enhancing inhibition or the proportion of susceptible tumours might be clinically relevant. We showed in colon cancer cell lines that combination with interferon-α (IFNα) increased the efficacy of gefitinib through synergy, such that reduced doses of gefitinib in the presence of a low dose of IFNα achieved higher growth inhibition than a full dose of gefitinib alone [12]. Moreover, IFNα-induced growth inhibition of some human bladder cancer lines was not paralleled by complete inhibition of the EGF-HER1/EGFR pathway, as the antiproliferative effect of IFNα was reduced by adding EGF [13]. We therefore hypothesized that in bladder cancer cells in which the HER1/EGFR pathway is present/functional, IFNα might enhance growth inhibition by HER1/EGFR blockers. In the present study we aimed to determine in bladder cancer cell lines whether erlotinib is antiproliferative and whether combining erlotinib with IFNα increased the antitumour effect over either alone. Given recent clinical research that suggests that effective inhibition might be related to the activation status of HER1/EGFR, or to the presence of mutations in the TK domain of the receptor [14], we also determined the mutation status of the cell lines tested and of 14 bladder cancer tissue samples.

MATERIALS AND METHODS

Seven human bladder cancer cell lines of different histological grades were used (Table 1) [15–21]; BL-28/0, BL-17/2 and BL17/0/X1 were established by us. Other cell lines were gifts (Table 1) including HT1376, MGHU1R, MGHU3 and T24. Two colon cancer cell lines, SW620 (HER1/EGFR-negative) and HCT116 (HER1/EGFR-positive) used as controls, were from the American Type Culture Collection (Manassas, VA, USA).

Table 1. 
The origins of the bladder cancer cell lines
Cell lineTumour stageTumour gradeReference
  1. NR, not recorded.

BL-17/0/X1T4bIIIRussell et al. [15]
BL-17/2T4bIIIBrown et al. [16]
BL-28/0T4bIIRussell et al. [17]
HT1376T2IIIRasheed et al.[18]
MGH-U1RNRIIILin et al. [19]
MGH-U3NRIZhang et al. [20]
T24NRIIIBubenik et al. [21]

Bladder cancer tissues were from 14 consecutive patients undergoing cystoscopy at the Department of Urology, St Vincent’s Hospital, in 2003–2004, with informed consent (Approval by the Human Research Ethics Committee of the Hospital, H03/044). Tumours were snap-frozen in liquid nitrogen within minutes of excision. Twelve were noninvasive/superficial (Ta or T1 tumours) and two were muscle-invasive TCCs.

Cells were grown in RPMI-1640 with 10% fetal bovine serum, 2 mm l-glutamine, penicillin and streptomycin at 37 °C in humidified 5% CO2/air. Cells were fed every 3–4 days, and harvested using 0.02% EDTA-PBS (ICN, Aurora, OH, USA).

For the crystal violet colorimetric assay, cells were cultured in 24-well plates at 5 × 104/well for 72 h, then treated with different agents (see Results), washed with PBS with divalent cations (Sigma, St. Louis, MO, USA), stained with 0.5% crystal violet, rinsed in distilled water and air-dried, then lysed with 100 µL 2% sodium deoxycholate per well. Absorbance was measured at 540 nm using a plate reader (Tecan, Grodig, Salzburg, Austria).

Cell-surface HER1/EGFR levels at 72 h of culture were measured by flow cytometry. Cells seeded in 60 × 15 mm dishes were harvested, washed twice with ice-cold PBS and counted. Mouse monoclonal antibody against the extracellular domain of human HER1/EGFR (MO886, Dako, Carpinteria, CA, USA; 100 µL, 1/100 in PBS) or an irrelevant IgG2b isotype-matched control in the same volume and dilution, was added to the cells (1 × 106 cells) for 60 min on ice. Cells were then washed, incubated with fluorescein-isothiocyanate-conjugated goat-anti-mouse IgG (81–6511, Zymed, Invitrogen, Carlsbad, CA, USA; 100 µL, diluted 1/200 in PBS) on ice for 30 min in the dark, washed twice and resuspended in 1% formaldehyde in PBS. Cell surface immunofluorescence was analysed on a FACSCalibur (Beckton-Dickinson, Franklin Lakes, NJ, USA) using CELLQuest software.

For HER1/EGFR mutation analysis, DNA was extracted from cell lines and bladder cancer tissues using a DNA extraction kit (Qiagen, Hilden, Germany). The entire TK domain of the HER1/EGFR gene, including exons 18–24 and all relevant donor/acceptor splice sites, was amplified and pre-screened for sequence variation using denaturing gradient gel electrophoresis (DGGE). DGGE primers were designed using the ‘melt87’ computer program. Amplicons were electrophoresed in 9% polyacrylamide gel (acrylamide : bisacrylamide; 37.5 : 1) containing a 40% differential urea and formamide (100% is 7 m urea/40% deionized formamide) denaturing gradient in a tris-borate-EDTA buffer, at 60 °C and 110 V overnight. DGGE conditions were optimized as previously described [22]. Heterozygous sequence variation was identified after ethidium bromide staining as four DGGE bands (two homoduplex and two heteroduplex); a lack of sequence variation was depicted as a single unshifted DGGE band. Amplicons showing aberrant DGGE banding patterns were sequenced (ABI 3100 sequencer, using dye terminator sequencing kit, Applied Biosystems, Foster City, USA).

IFNα (recombinant IFNα-2a) was provided by Roche Pharmaceuticals, Dee Why, Sydney, Australia with specific activity of 2.7 × 108 IU/mg, and erlotinib, by OSI Pharmaceuticals, Uniondale, NY, USA. Antiproliferative effects obtained with IFNα plus erlotinib were analysed using the Chou and Talalay method [23] on CalcuSyn software (Biosoft, Cambridge, UK). Interaction between drugs A and B was assessed using an automatically computed combination index (CoI), determined at 50%, 75% and 90% inhibition of cell growth. The CoI was defined as:

CoIA+B = (DA/A+B)/DA + (DB/A+B)/DB + α(DA/A+B) (DB/A+B)/DADB

where CoIA+B is the CoI for a fixed effect (F) for the combination of drug A and a drug B; DA/A+B is the concentration of drug A in the combination A + B giving an effect F; DB/A+B is the concentration of drug B in the combination A + B giving an effect F; DA is the concentration of drug A alone giving an effect F. DB is the concentration of drug B alone giving an effect F; and α is a parameter with value 0 when A and B are mutually exclusive and 1 for mutually nonexclusive drugs that have independent modes of action. The CoI indicates synergism when <0.90, antagonism when >1.10, and additivity when 0.90–1.10.

anova was used to evaluate quantitative HER1/EGFR expression across variables. The nonparametric Kruskal–Wallis or Mann–Whitney U-test was used to evaluate differences in percentage cell growth inhibition. A post hoc Bonferroni test was then used to detect differences between individual groups. Statistical values (two-tailed) of P < 0.05 or 95% CIs excluding zero were considered to indicate significance.

RESULTS

HER1/EGFR expression was assessed on each bladder cancer cell line to identify the feasibility of using individual cell lines in HER1/EGFR-targeted therapy experiments. Cells were harvested in the linear growth phase (72 h of culture) and measured by flow cytometry. MGHU1R, MGHU3, BL-17/2, BL-17/0/X1, BL-28/0, HT1376 and T24 all expressed HER1/EGFR (Fig. 1). The control colon cancer cell line, HCT116, was HER1/EGFR-positive (data not shown) and SW620, HER1/EGFR-negative.

Figure 1.

Basal cell-surface HER1/EGFR expression measured by flow cytometry in triplicate samples of individual cell lines at 72 h of culture. Protein expression was estimated as the mean fluorescence intensity of anti-HER1/EGFR minus that of the isotype-matched antibody control, counting 10 000 singlet and viable cells/treatment. The receptor expression is shown for each bladder cancer cell line and control colon cancer cell line (SW620) as mean (sd) fluorescence intensity. Experiments were done in duplicate.

To select optimum times for the analysis of drug effects, the time course of growth of untreated cells was tested over 5 days. The bladder cancer lines differed in growth rates, with a more significant difference at 4 days (anova, P < 0.010). No untreated lines reached confluence by 5 days (data not shown). We selected a linear growth phase period including day 4 for studying drug effects on treated cells for analysis of the degree of cooperativity at different times and drug concentrations.

Antiproliferative effects of erlotinib on bladder cancer cells were dose- and time-dependent. First, treatment of cells with 5 µg/mL (11.6 µmol/L, molecular weight 429.9) erlotinib with harvest at 1, 2, 3, 4, and 5 days, showed that the growth inhibitory effects of the drug vs vehicle control (0.1% DMSO) were increased with increasing duration of culture (Fig. 2A). This trend was statistically significant for all bladder cancer cell lines (Kruskal–Wallis, all P ≤ 0.010).

Figure 2.

(A) Time-dependent growth inhibitory effect of erlotinib vs vehicle control on bladder cancer cell lines, and (B) dose-dependent growth inhibitory effects at 4 days of erlotinib on bladder cancer cell lines: the error bars show the variation of all replicates. Experiments were duplicated, with samples in triplicate.

Second, the effects were dose-dependent. Using erlotinib at 0.2–10 µg/mL there was significantly greater growth inhibition at higher concentrations of erlotinib for all cell lines (Kruskal–Wallis, all P ≤ 0.015; Fig. 2B). The mean 50% effective doses (ED50) from quadruplicate or quintuplicate experiments were calculated using the CalcuSyn software (Table 2).

Table 2. 
The EC50 of erlotinib for treating bladder cancer cell lines
Cell lineNumber of experimentsMean (sd) EC50 at [erlotinib]
µg/mLµmol/L
BL17/0/X152.2 (1.4) 5.1 (3.2)
BL17/253.8 (2.7) 8.8 (6.2)
BL28/046.4 (2.9)14.8 (6.7)
HT137654.6 (1.2)10.7 (2.7)
MGHU1R56.9 (1.9)16.0 (4.4)
MGHU353.1 (0.7) 7.2 (1.6)
T2456.1 (2.3)14.1 (5.3)

To improve the efficacy of erlotinib we added IFNα; different doses of erlotinib (0.1–2 µg/mL) were used combined with 100 IU/mL of IFNα, with significantly greater growth inhibition in the presence of higher concentrations of erlotinib for all cell lines (Fig. 3A, Kruskal–Wallis, all P ≤ 0.036). The T24 cell line was least sensitive of all to the increasing doses of erlotinib in the experiment.

Figure 3.

Dose-dependent growth inhibitory effect at 4 days of the combined therapy: (A) different doses of erlotinib combined with 100 IU/mL of IFNα and (B) 1 µg/mL erlotinib together with 50 or 100 IU/mL of IFNα. Cell growth inhibition is shown as the mean percentage of growth of combination therapy against vehicle control. The error bars show the variation of all replicates. Experiments were duplicated or triplicated, with duplicate samples within each experiment. For the single-drug control, 100 IU/mL of IFNα inhibited T24 cell growth at the same time by 9.8%, HT1376 by 27.2%, MGHU3 by 40.7%, BL28/0 by 30.9%, BL17/0/X1 by 49.8%, BL17/2 by 43.4% and MGHU1R by 47.1%, whilst 1 µg/mL erlotinib delayed T24 cell growth by 12.9%, HT1376 by 24.2%, MGHU3 by 26.7%, BL28/0 by 11.5%, BL17/0/X1 by 37.9%, BL17/2 by 23.7% and MGHU1R by 13.2%.

Figure 3B shows the effect of 1 µg/mL erlotinib together with 50 or 100 IU/mL of IFNα, with significantly less cell growth in the presence of higher concentrations of IFNα for all bladder cancer lines (Mann–Whitney, all P ≤ 0.050). T24 was again the least sensitive cell line of all to the increasing doses of IFNα in the experiment.

We used the isobologram method [14] to determine whether IFNα and erlotinib were synergistic. We extracted data from experiments performed in duplicate (MGHU3, HT1376) or triplicate (MGHU1R, BL-28/0, BL-17/2, BL17/0/X1 and T24) including data from dose–response experiments (not shown) using single drugs (IFNα: 1, 10, 100, 1000, and 10 000 IU/mL for 1, 2, 3, 4 and 5 days; and erlotinib: 0.1, 0.25, 0.5, 1, 2, 5, 10 µg/mL for 1, 2, 3, 4 and 5 days) or combined 100 IU/mL IFNα, and 50 IU/mL IFNα with 0.1, 0.25, 0.5, 1 and 2 µg/mL erlotinib, respectively, for 4 days. When concomitant treatment was used, control cells were exposed to each drug alone at each dose.

We chose day 4 data from single drug dose–response experiments to establish the median-effect and dose-response plots using the CalcuSyn software. We entered concomitant treatment at two doses of IFNα (IU/mL) combined with selected erlotinib (µg/mL) doses in a fixed ratio (IFNα/erlotinib 100/1.0 and 50/0.5) for establishing the plots for combined drugs. We checked effects of drugs used alone; they matched well with the single-drug plots. The software generated a report for each cell line and provided representative figures.

Results of these analyses are summarized in Table 3 and representative figures (Fig. 4Aa–e for median-effect plots and Fig. 4Ba–e for dose–response plots). The combination of IFNα and erlotinib resulted in heterogeneous growth inhibition among the bladder cancer cell lines, with two lines showing very strong synergism (HT1376 and MGHU1R), three a strong synergism (BL17/0/X1, BL28-0 and MGHU3), one synergism (BL17/2) and one antagonism (T24).

Table 3.  The CoI for treating bladder cancer cell lines with INFα and erlotinib
Cell line (n)*CoIRangeSignificance
ED50ED75ED90
  • *

    number of experiments.

BL17/0/X1 (3)0.26420.01950.00140.1–0.3strong synergism
BL17/2 (3)0.44690.16160.14150.3–0.7synergism
BL28/0 (3)0.27260.11280.09870.1–0.3strong synergism
HT1376 (2)0.11250.04830.0251<0.1very strong synergism
MGHU1R (3)0.20070.04220.0195<0.1very strong synergism
MGHU3 (2)0.17640.12760.12240.1–0.3strong synergism
T24 (4)1.77013.17905.7095>1.10antagonism
Figure 4.

Figure 4.

(A) The median-effect plots and (B) the dose-effect plots of IFNα and/or erlotinib for representative bladder cancer cell lines: (a) HT1376 and (b) MGHU1R showed very strong synergism; (c) BL17/0/X1 showed strong synergism, with (d) BL17/2 showing synergism, and (e) T24 showing antagonism.

Figure 4.

Figure 4.

(A) The median-effect plots and (B) the dose-effect plots of IFNα and/or erlotinib for representative bladder cancer cell lines: (a) HT1376 and (b) MGHU1R showed very strong synergism; (c) BL17/0/X1 showed strong synergism, with (d) BL17/2 showing synergism, and (e) T24 showing antagonism.

Seven bladder cancer cell lines and 14 bladder cancer tissues were screened for mutations in the TK domain (exons 18–24) of the HER1/EGFR gene; no rare sequence variants were detected. The previously reported single nucleotide polymorphisms in exon 20 (rs10251977, Gln787Gln G >A) and exon 23 (rs1140475, Thr903Thr C >T) occurred at an allele frequency of 0.73 and 0.09, respectively.

DISCUSSION

This study is the first to show that erlotinib, an HER1/EGFR TK inhibitor, inhibits the growth in vitro of several bladder cancer cell lines, similar to gefitinib [10]. However, this effect could be considered suboptimal according to others [24], who defined the sensitivity of lung cancer cell lines as >50%in vitro growth inhibition with erlotinib at <5 µmol/L (2.1 µg/mL). The only clinical reports on the use of IFN in bladder cancer relate to the finding that IFNα can inhibit superficial bladder cancer growth and reduce recurrence after intravesical administration [25]. We were encouraged by this experience to examine its efficacy when combined with erlotinib on invasive bladder cancer cell lines, as erlotinib can block EGF downstream signals that play a negative regulatory role on IFNα. We showed that combining IFNα treatment with erlotinib has a synergistic inhibitory effect, as evaluated by the isobologram method [23], suggesting that using the two drugs together can overcome the insensitivity of selected bladder cancer cell lines. This study is supported by our earlier report on colon cancer [12] and by others in head and neck cancer cells [26] using gefitinib and IFNα. These findings might have implications for identifying patients suitable for treatment, by improving HER1/EGFR-targeted therapy.

IFNα binds to cell membrane receptors, IFNαR1 and IFNαR2 [27], leading to activation of IFNα-associated Janus kinases, JAK1 and TYK2, that mediate cytokine-induced signal transduction [28]. Their phosphorylation activates cytoplasmic signalling proteins including STAT (signalling transducers and activators of transcription) transcription factors, that regulate target gene expression, leading to cell growth inhibition [28]. This pathway co-operates in mediating downstream signalling by EGF and is enhanced in cells over-expressing EGF [29], providing a possible escape mechanism to overcome the antiproliferative effects of IFNα[30]. The resistance of T24 cells in this study to one IFNα treatment might reflect this mechanism. Downstream pathways of EGF-stimulated proliferation are associated with decreased antiproliferative effects of IFNα[31] and the chemical inhibition of these pathways at different levels reverses that effect [28]. A recent study showed that inhibition of an alternative growth signalling pathway (platelet-derived growth factor, PDGF) can overcome resistance to HER1/EGFR TK inhibitors [32]. Such dual blockade might also account for the synergistic growth inhibition in the present study.

Recent data indicate no clear relationship between sensitivity to HER1/EGFR inhibition and the degree of HER1/EGFR expression [33]. By contrast, the presence of gain- of-function mutations in the TK domain of the HER1/EGFR gene has been associated with sensitivity to growth inhibition by HER1/EGFR inhibitors in lung cancer [14]. Such gain of function might increase dependency on this pathway and so increase sensitivity to its inhibition [34,35]. In screening for similar mutations in colon cancer cell lines in our laboratories, we detected only one of 10 colon cancer cell lines with an HER1/EGFR mutation (unpublished data). Others have detected a single mutation (G-to-S substitution at amino acid 719) in only 1 of 293 colon cancer tissues [36]. Our results in the bladder cancer cell lines and tissues where no HER1/EGFR mutations were detected suggest that gain-of-function mutations [14] might be uncommon in cancers other than lung cancer, although more samples should be tested. Our data suggest that the successful use of TK inhibitors need not to be confined to tumours that overexpress the HER1/EGFR gene or carry an enhancing mutation. It is possible that IFNα might induce a ‘gain of function’ phenotype that enhances EGF dependence, thus increasing susceptibility to HER1/EGFR inhibition.

Erlotinib inhibits activation of the HER1/EGFR intracellular TK and downstream signalling pathways such as PI3K/Akt and Ras/Raf/MAPK [5]. Recent data show that lung tumours with higher baseline phosphorylation of downstream signals, such as P13K/Akt, are more likely to respond to gefitinib [36]. Thus an alternative explanation for our results might be that IFNα, by enhancing signalling of the JAK/STAT and P13K/Akt pathways, sensitises the cells to the HER1/EGFR inhibitor, reducing the dose required to block relevant shared pathways of growth stimulation in the absence of mutations.

The synergy might also occur through a direct effect of IFNα on HER1/EGFR synthesis and function; IFNα induces expression of IFN regulatory factor-1, a transcription factor that modulates the expression of many genes including HER1/EGFR[37]. Alternatively, down-regulation of phosphorylation and/or alterations in affinity or bound complex internalization might enhance inhibition of HER1/EGFR activity [28].

The concentrations of 100 IU/mL for IFNα and 5 µmol/L (2.1 µg/mL) for erlotinib used here are comparable to serum levels achieved in humans treated with current dose schedules [38,39]. Combined therapy at half of the concentration of both drugs achieved a synergistic antiproliferative effect. The clinical implication is one of enhanced anticancer efficacy with no greater toxicity. Whether alternative routes of administration, e.g. intravesical, would enhance this effect requires additional modelling.

In the present study we examined the broadest range of bladder cancer cell lines yet reported, and this encourages further study of this drug combination approach to therapy. Future studies will focus on the mechanism of synergy induced by combined treatment, by examining the activity of target receptors including HER1/EGFR and IFNαR1/2, key downstream signalling factors, e.g. STATs, Akt, ERK1/2, and PDGF signalling markers, and how cell growth is inhibited (cell cycle and apoptosis analysis). Our focus will be to identify reliable predictors of which patients are most likely to benefit from this combined approach to targeted therapy.

ACKNOWLEDGEMENTS

We thank Emma J.D. Padilla (Garvan Institute of Medical Research) for technical assistance. VMH is a Cancer Institute NSW Fellow. IFNα was a kind gift from Roche Pharmaceuticals, Australia. Erlotinib was kindly provided by OSI Pharmaceuticals, USA. Source of support: Armati Family Fellowship and Australian Cancer Research Foundation, Australia.

CONFLICT OF INTEREST

Jia-Lin Yang, Xian-Jun Qu, Pamela J. Russell and David Goldstein are all patent inventors with OSI (no financial gain).

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