ARTICLE

Multiparametric Flow Cytometric Analysis of Inter-Patient Variation in STAT1 Phosphorylation Following Interferon Alfa Immunotherapy

Gregory B. Lesinski, Sri Vidya Kondadasula, Tim Crespin, Lei Shen, Kari Kendra, Michael Walker, William E. Carson, III

Affiliations of authors: Departments of Human Cancer Genetics (GBL, SVK, WEC), Epidemiology and Biometrics (LS), Medical Oncology (KK), and Surgery (MW, WEC), Arthur G. James Cancer Hospital and Richard J. Solove Research Institute, The Ohio State University, Columbus, OH; Primetrics, Hilliard, OH (TC)

Correspondence to: William E. Carson III, MD, Division of Surgical Oncology, The Ohio State University, N924 Doan Hall, 410 W. 10th Ave., Columbus, OH 43210 (e-mail: carson-1{at}medctr.osu.edu)


    ABSTRACT
 Top
 Notes
 Abstract
 Introduction
 Materials and Methods
 Results
 Discussion
 References
 
Background: Regulation of gene expression by signal transducer and activator of transcription 1 (STAT1) within host tissues mediates the antitumor effects of interferon alfa (IFN {alpha}). We used a novel flow cytometric assay to examine phosphorylation-mediated activation of STAT1 within immune effector cell subsets following in vitro or in vivo IFN {alpha} treatments. Methods: Peripheral blood mononuclear cells (PBMCs) isolated from healthy donors (n = 17) or melanoma patients (n = 19) were treated in vitro with interferon alfa-2b (IFN {alpha}-2b) or phosphate-buffered saline (PBS) and subjected to multiparametric flow cytometry to measure the levels of phosphorylated STAT1 (P-STAT1) within immune cell subsets. We similarly analyzed PBMCs isolated from melanoma patients before and 1 hour after immunotherapy with IFN {alpha}-2b. All statistical tests were two-sided. Results: P-STAT1 levels in all major immune cell subsets increased within 15 minutes of in vitro IFN {alpha}-2b treatment of PBMCs; the increase was most pronounced in T lymphocytes and monocytes. Relatively low doses of IFN {alpha}-2b (i.e., 102–103 IU/mL) induced maximal STAT1 activation in vitro. Compared with melanoma patients, healthy donors had higher basal levels of P-STAT1 (specific fluorescence [Fsp]; i.e., FspPBS, the level of P-STAT1 in PBS-treated cells) in total PBMCs, natural killer (NK) cells, and T cells (mean FspPBS in total PBMCs: 5.5 in healthy donors versus 1.6 in patients, difference = 3.9, 95% confidence interval [CI] = 1.4 to 6.5, P = .004; mean FspPBS in NK cells: 4.6 in healthy donors versus 0.9 in patients, difference = 3.7, 95% CI = 1.7 to 5.7, P = .001; mean FspPBS in T cells: 6.8 in healthy donors versus 0.9 in patients, difference = 5.9, 95% CI = 2.5 to 9.3, P = .002). P-STAT1 was detected in the NK and T cells of two patients who received IFN {alpha}-2b immunotherapy (20 MU/m2 [MU = million units], administered by intravenous injection). P-STAT1 levels in the PBMCs of a patient treated sequentially with 5 MU/m2 and 10 MU/m2 IFN {alpha}-2b (administered by subcutaneous injection) also increased in response to treatments with IFN {alpha}-2b but did not increase further with the increased dosage of IFN {alpha}-2b. Conclusion: This flow cytometry method can be used to monitor STAT1 activation within subsets of immune cells from patients undergoing IFN {alpha} immunotherapy.



    INTRODUCTION
 Top
 Notes
 Abstract
 Introduction
 Materials and Methods
 Results
 Discussion
 References
 
Interferon alfa (IFN {alpha}) immunotherapy continues to be a mainstay of treatment in patients with metastatic melanoma or renal cell carcinoma who have good overall organ function; however, IFN {alpha} is administered at high doses and is sometimes poorly tolerated by patients (13). Efforts to improve the efficacy of IFN {alpha} treatments are hampered by the fact that its molecular targets are unknown. IFN {alpha} exhibits anti-proliferative effects in melanoma cells, and results of recent in vivo studies have demonstrated that its antitumor effects are mediated by host immune cells (4). In addition, there is evidence that both natural killer (NK) cells and T lymphocytes may be involved in mediating the antitumor actions of IFN {alpha} in the clinical setting (5).

The binding of IFN {alpha} to its receptor results in activation of the Jak-STAT signal transduction pathway. The heterodimeric receptor for IFN {alpha} consists of two subunits, IFN {alpha} receptor 1 (IFNAR1) and IFN {alpha} receptor 2 (IFNAR2), and is widely expressed on the surface of tumor cells and immune effector cells (6,7). Binding of IFN {alpha} to its receptor activates Janus kinase 1 (Jak1) and tyrosine kinase 2 (Tyk2), which phosphorylate tyrosine residues within the cytoplasmic region of IFNAR1. The phosphotyrosine residues provide docking sites for cytoplasmic transcription factors that belong to the signal transducer and activation of transcription (STAT) family of proteins, which are phosphorylated (activated) by the Janus kinases (8). The prototypical IFN {alpha} signaling reaction facilitates the formation of interferon-stimulated gene factor 3 (ISGF3), a DNA-binding complex that consists of STAT1{alpha} (or STAT1{beta}), STAT2, and interferon regulatory factor 9 (IRF9) (9). ISGF3 rapidly translocates to the cell nucleus and binds to interferon-stimulated response elements located in the promoter regions of IFN-responsive genes (10). This binding induces the expression of a variety of immunoregulatory genes and largely determines the pattern of immune cell activation following IFN {alpha} administration (1113).

The ability to study signal transduction in distinct subsets of immune cells following IFN {alpha} treatment has been limited by the efficiency and qualitative nature of the available techniques. The use of phosphorylation state–specific antibodies for intracellular flow cytometry has unique potential for the evaluation of signaling events in immune effectors following the administration of immunomodulatory cytokines. We have developed a novel flow cytometric technique for the analysis of STAT1 phosphorylation among immune effector cell subsets that is rapid, highly quantitative, and extremely sensitive. We have used this method to examine Jak-STAT signal transduction in peripheral blood mononuclear cells (PBMCs) isolated from healthy blood donors in vitro and from melanoma patients who were undergoing IFN {alpha} immunotherapy.


    MATERIALS AND METHODS
 Top
 Notes
 Abstract
 Introduction
 Materials and Methods
 Results
 Discussion
 References
 
Reagents

Recombinant human IFN {alpha}-2b (specific activity = 2 x 108 IU/mg) was obtained from Schering-Plough (Kenilworth, NJ) and resuspended in phosphate-buffered saline (PBS) supplemented with 0.1% human albumin (Sigma, St. Louis, MO). Anti-Phospho-STAT1 (Tyr701) monoclonal antibody was obtained from Cell Signaling Technology (Beverly, MA). RosetteSep NK and T cell enrichment cocktails were obtained from Stem Cell Technologies (Vancouver, British Columbia, Canada). Recombinant human granulocyte–macrophage colony-stimulating factor (GM-CSF), interleukin 4 (IL-4), and tumor necrosis factor-alpha (TNF-{alpha}) were obtained from R&D Systems (Minneapolis, MN).

Blood Samples

This study was approved by the Institutional Review Board of The Ohio State University (OSU 99H0348). Peripheral blood was obtained from melanoma patients who were evaluated in the Melanoma Multi-Disciplinary Clinic of The Ohio State University Comprehensive Cancer Center and who provided written informed consent. Patients were considered eligible for this study if they had histologic or cytologic documentation of cutaneous melanoma, clinical evidence of metastatic disease, had not previously received cytokine treatment for metastatic disease (i.e., IL-2 or IFN {alpha}), and had not received chemotherapy, radiotherapy, or antihormonal therapy within the 3 weeks before peripheral blood was drawn and IFN {alpha} treatment was initiated. PBMCs from healthy adult blood donors were obtained from source leukocytes (American Red Cross, Columbus, OH). Flow cytometric analysis of STAT1 phosphorylation was conducted on PBMCs from five melanoma patients who were undergoing treatment with IFN {alpha}-2b. PBMCs were separated from peripheral blood or source leukocytes by density gradient centrifugation with Ficoll-Paque (Amersham Pharmacia Biotech, Uppsala, Sweden) and immediately used for flow cytometric analysis (14).

Intracellular Staining for STAT1, STAT2, and Phosphorylated STAT1

PBMCs (5 x 105 cells per condition) were cultured in RPMI-1640 medium supplemented with 10% fetal bovine serum (FBS) or human AB serum (Pel-Freez Clinical Systems, Brown Deer, WI) and IFN {alpha}-2b or PBS for different times, incubated with antibodies specific for STAT1, STAT2 or phosphorylated STAT1 (P-STAT1), and subjected to intracellular flow cytometry as described by Fleisher et al. (15), with modifications. Briefly, cells were harvested from culture by centrifugation at 290g, resuspended in 100 µL of RPMI-1640 medium supplemented with 10% FBS, treated with either PBS or IFN {alpha}-2b, fixed by incubating in 100 µL of Fix & Perm Reagent A (Caltag Laboratories, Burlingame, CA) for 2–3 minutes at room temperature, and incubated for 10 minutes in 3 mL of cold methanol. Cells were then washed in flow buffer (PBS supplemented with 5% FBS) and permeabilized with 100 µL of Fix & Perm Reagent B (Caltag Laboratories), according to the manufacturer’s specifications. Cells were incubated for a total of 30 minutes at room temperature in Fix & Perm Reagent B containing 1 µg of a mouse anti-human STAT1 antibody (BD Transduction Laboratories, San Diego, CA), 1.256 µg of a rabbit anti-human STAT2 antibody (Biosource International, Camarillo, CA), 7.5 ng of a rabbit anti-human P-STAT1 (Tyr701) antibody (Cell Signaling Technologies), or an appropriate isotype control antibody. The cells were washed with flow buffer, incubated with a fluorescein isothiocyanate–conjugated goat anti-mouse secondary antibody (STAT1) or an Alexafluor 488–conjugated goat anti-rabbit secondary antibody (P-STAT1, STAT2) (Molecular Probes, Eugene, OR) for 30 minutes at room temperature, washed with flow buffer, fixed in 1% formalin, and stored at 4 °C. Flow cytometric analysis of STAT1 expression was conducted on PBMCs from normal donors (n = 15) and melanoma patients (n = 17). Flow cytometric analysis of STAT2 expression was conducted on PBMCs from normal donors (n = 17) and melanoma patients (n = 19). Analysis of P-STAT1 activation following ex vivo stimulation with IFN {alpha}-2b was conducted on PBMCs from normal donors (n = 18) and melanoma patients (n = 19).

Multiparametric Staining

Briefly, PBMCs were stained for P-STAT1 or STAT1 as described above except that a primary antibody specific for a subset of immune cells was added to the cells along with the Alexafluor 488–conjugated secondary antibody. For this particular technique, the detection of intracellular P-STAT1 and STAT1 was best achieved using Alexafluor 488–conjugated secondary antibodies. The following antibodies were used to detect immune cell subsets: anti-CD56 ([NK1-RD1] for NK cells; Beckman Coulter, Miami, FL); anti-CD14-APC (for monocytes; Beckman Coulter); anti-CD3-APC (for T lymphocytes; BD Pharmingen, San Diego, CA); and anti-CD21-APC (for B lymphocytes; BD Pharmingen). Nonspecific intracellular and extracellular antibody binding were blocked by incubating the cells with normal goat serum and normal mouse serum, respectively, for 10 minutes before the fluorochrome-conjugated antibodies were added. Separate aliquots of PBMCs were stained with appropriate intracellular and extracellular isotype control antibodies (Beckman Coulter and BD Pharmingen).

Flow Cytometric Analysis

Flow cytometry was performed with the use of a Becton-Dickinson FACScalibur cytometer (BD Immunocytometry Systems, San Jose, CA) equipped with a 488-nm air-cooled argon laser and a 633-nm helium–neon laser. Each analysis was performed using at least 10 000 cells that were gated in the region of the lymphocyte population, as determined by light scatter properties (forward scatter versus side scatter). To analyze monocyte (i.e., CD14-positive) cell populations, cells were gated in both the lymphocyte and monocyte regions. For multiparametric analysis, percent positive values were determined from quadrants set with isotype control antibodies. Data files were processed with the use of WinMDI software (created by Joseph Trotter; available at: http://pingu.salk.edu/software.html). Amplified fluorescence signals were displayed on four-decade log scales and expressed as specific fluorescence (Fsp = Ft – Fb), where Ft represents the median value of total staining, and Fb represents the median value of background staining (obtained by staining with the isotype antibody control). The specific activation of STAT1 following IFN {alpha} treatment of PBMCs was calculated as FspIFN-treated – FspPBS-treated, where FspIFN-treated and FspPBS-treated represent the median levels of specific fluorescence for P-STAT1 in PBMCs treated with IFN {alpha} and PBS, respectively. We collected a minimum of three data files for each condition analyzed to control for inter-assay variability.

Immunoblot Analysis and Electrophoretic Mobility Shift Assay

PBMCs (5 x 106 cells) isolated from source leukocytes obtained from healthy adult donors were cultured in RPMI-1640 medium supplemented with 10% FBS and various concentrations of IFN {alpha}-2b or PBS for 15 minutes. We prepared cell lysates from these cultures and subjected equal amounts of protein per lane to immunoblot analysis, as previously described (16), using the same rabbit anti-human P-STAT1 antibody used for flow cytometry or a {beta}-actin antibody (Sigma), followed by quantitative densitometry using Optimas 6.51 image analysis software (Media Cybernetics, Carlsbad, CA). Lysates from A431 cells (Cell Signaling Technology) were used as a positive control for measuring STAT1 expression by immunoblot analysis. We simultaneously prepared whole-cell extracts from these cultures (5 x 106 cells), as previously described (17), and used them in an electrophoretic mobility shift assay (EMSA) with a double-stranded serum-inducible element of the c-fos promoter oligonucleotide that has affinity for activated human STAT proteins (5'-GATCCGATTCCGGGAATCA-3') (18).

Generation of Dendritic Cells

Mature dendritic cells were generated as previously described (19). Briefly, PBMCs were isolated from source leukocytes of a healthy blood donor by density gradient centrifugation and aliquots were placed in each well of 6-well plastic culture dishes. After 3 days in culture, monocytes were separated from total PBMCs on the basis of their adherence to the plastic. Fresh complete RPMI-1640 medium containing 10% FBS, 800 IU/mL GM-CSF, and 500 IU/mL IL-4 was then added to the remaining adherent cells and they were cultured for 5–7 days. Dendritic cells were generated from these cultures under endotoxin-free conditions, and fresh medium with cytokines was added on day 3. Mature dendritic cells were obtained following the addition of 200 U/mL TNF-{alpha} from day 5 to day 7. To confirm that mature dendritic cells had been generated, we performed direct cell-surface staining with anti-human CD11c, anti-human CD14, and anti-human CD83 antibodies and the appropriate isotype control antibodies (BD Pharmingen).

Real-Time Reverse Transcription–Polymerase Chain Reaction Analysis of IFN {alpha}–Stimulated Gene Expression

Real-time reverse transcription–polymerase chain reaction (RT-PCR) was used to quantitate levels of mRNAs expressed by known IFN {alpha}–stimulated genes present within PBMCs. Briefly, PBMCs isolated from source leukocytes of healthy donors or from the peripheral blood of melanoma patients were cultured (5 x 106 cells) in RPMI-1640 medium supplemented with 10% FBS and various concentrations of IFN {alpha}-2b or PBS for 4 hours. Total RNA was isolated from the cultured PBMCs with the use of an RNeasy RNA Isolation Kit (Qiagen, Valencia, CA) and quantitated by using a RiboGreen RNA Quantitation Kit (Molecular Probes). Reverse transcription was performed using 2 µg of total RNA and random hexamers (PerkinElmer, Norwalk, CT) as primers for first-strand synthesis of cDNA and the following conditions: 70 °C for 2 minutes, 42 °C for 60 minutes, and 94 °C for 5 minutes. We used 2 µL of the resulting cDNA as template to measure the levels of mRNA for ISG-15, ISG-54, and 2',5'-oligoadenylate synthetase 1 (OAS-1) by real-time RT-PCR with pre-designed primer/probe sets (Assays On Demand; Applied Biosystems, Foster City, CA) and 2x Taqman Universal PCR Master Mix (Applied Biosystems). Pre-designed primer/probe sets for human {beta}-actin (Applied Biosystems) were used as an internal control in each reaction well. Real-time RT-PCR reactions were performed in triplicate in capped 96-well optical plates. The following amplification scheme was used: 50 °C for 2 minutes, 95 °C for 10 minutes, 40 cycles of 95 °C for 15 seconds, and 60 °C for 1 minute. Real-time RT-PCR data were analyzed using Sequence Detector software, version 1.6 (PE Applied Biosystems, Foster City, CA).

Statistical Analysis

The specific fluorescence (Fsp) and specific activation of STAT1 within NK cells, T cells, and total PBMCs were of primary interest. Primary analyses focused on differences in mean values and variances between PBMCs from healthy donors and melanoma patients. We used Levene’s test for equality of variances (20) to determine whether healthy donors and patients had statistically significantly different within-group variances. Student’s t test for equality of means was then used to determine whether the group means were statistically significantly different. A variation of the t test that does not assume equality of variances was used for assays where statistically significant inequality of variance was found. Analyses were also repeated using the Mann–Whitney U test (a nonparametric test equivalent to the t test) to confirm that the same pattern of results emerged (data not shown). We used the Friedman test for k-dependent samples to test whether P-STAT1 levels were similar between different dose levels of IFN {alpha}. All statistical tests were two-sided; a P value of less than .05 was considered statistically significant.


    RESULTS
 Top
 Notes
 Abstract
 Introduction
 Materials and Methods
 Results
 Discussion
 References
 
Flow Cytometric Analysis of P-STAT1 Levels in IFN {alpha}–Stimulated PBMCs

PBMCs freshly isolated from healthy adult donors (n = 3) were treated with different doses of IFN {alpha}-2b or PBS for 15 minutes to evaluate the utility of our flow cytometry assay for detecting P-STAT1. We observed a rapid and dose-dependent increase in P-STAT1 within PBMCs treated with IFN {alpha}-2b (Fig. 1). P-STAT1 was detected even after PBMCs were treated with relatively low concentrations of IFN {alpha}-2b (i.e., 1–100 IU/mL). The Friedman test for k-dependent samples revealed that equivalence between the dose levels was not rejected (df = 3; P = .241), suggesting that different dose levels (102–105 IU/mL) can produce similar responses. Examination of P-STAT1 levels in PBMCs treated with increasing doses of IFN {alpha}-2b (200-IU/mL increments) revealed a smooth dose–response curve (data not shown). Treatment of PBMCs with 103 IU/mL IFN {alpha}-2b routinely led to the highest levels of P-STAT1, and higher doses of IFN {alpha}-2b did not markedly increase the level of P-STAT1 (data not shown). In addition, we routinely detected P-STAT1 in PBS-treated PBMCs, further demonstrating the sensitivity of this technique for detecting the low levels of P-STAT1 in cells with unactivated Jak-STAT signaling pathways. Although this assay required only 5 x 105 cells per condition, we could obtain meaningful data using as few as 1 x 105 cells (data not shown). Further experiments revealed that cryopreservation (i.e., overnight freezing in a Nalgene Cryo 1 °C Freezing Container (Nalgene, Rochester, NY) at –80 °C in a 10% dimethyl sulfoxide/90% FBS solution followed by storage at –130 °C in liquid nitrogen for 24 hours) of PBMCs from healthy adult donors before ex vivo stimulation with IFN {alpha}-2b decreased the level of STAT1 phosphorylation in the T and B lymphocyte, monocyte, and NK cell populations when compared with freshly isolated lymphocytes from the same donor (data not shown).



View larger version (16K):
[in this window]
[in a new window]
 
Fig. 1. Dose-dependent induction of phosphorylated signal transducer and activator of transcription 1 (P-STAT1) by interferon alfa (IFN {alpha}). Freshly isolated peripheral blood mononuclear cells (PBMCs) from healthy adult blood donors (n = 3) were treated for 15 minutes with increasing doses of IFN {alpha} or phosphate-buffered saline (PBS) and evaluated for P-STAT1 content by flow cytometry. Fluorescence data are presented as specific fluorescence intensity of P-STAT1 staining (Fsp = Ft – Fb, where Ft = total staining with an anti-P-STAT1 antibody and Fb = total staining with an isotype control antibody). The data shown represents the mean specific fluorescence (Fsp) of P-STAT1 for each individual donor. Error bars= 95% confidence intervals for three individual data files of each donor.

 
Validation of IFN {alpha}–Stimulated P-STAT1 Formation

To confirm our flow cytometry results, we treated PBMCs freshly isolated from a single healthy adult donor with different concentrations of IFN {alpha}-2b and subjected aliquots of the treated cells to flow cytometry, immunoblot analysis, and an EMSA. Flow cytometry and immunoblot analyses, both of which used the same anti-P-STAT1 antibody, revealed that PBMCs treated with IFN {alpha}-2b displayed a dose-dependent increase in the level of P-STAT1 (Fig. 2, A and B). However, unlike the flow cytometry assay, the immunoblot assay and EMSA could not detect basal P-STAT1 levels in PBS-treated cells, and the response to 1 IU/mL IFN {alpha}-2b was almost undetectable with these assays (Fig. 2, B and C). Whereas our flow cytometry data indicated that maximal activation of STAT1 occurred when cells were treated with 103 IU/mL IFN {alpha}-2b, densitometric analysis of the immunoblot data suggested that maximal activation of STAT1 occurred at a dose level of 104–105 IU/mL IFN {alpha}-2b (Fig. 2, B; data not shown). EMSAs using lysates made from these cells to detect the generation of DNA binding activity revealed signals of similar intensities for cells treated with IFN {alpha}-2b doses ranging from 102 to 105 IU/mL (Fig. 2, C). Thus, our flow cytometry assay appeared to be substantially better at detecting low levels of activated STAT1 and differentiating between the levels of activated STAT1 induced by different doses of IFN {alpha}-2b than the immunoblot assay and EMSA (Fig. 2, A). It is important to note that these latter two assays required 10-fold more cells per condition (i.e., 5 x 106 cells) than did flow cytometry. Results of time-course studies using flow cytometry (which were also confirmed by immunoblot and EMSA analysis) revealed that maximal induction of P-STAT1 in PBMCs occurred at 15 minutes after treatment with 104 IU/mL IFN {alpha}-2b, after which P-STAT1 levels slowly returned to basal levels (i.e., the levels of P-STAT1 in untreated or PBS-treated cells) over a 4-hour period (data not shown).



View larger version (47K):
[in this window]
[in a new window]
 
Fig. 2. Validation of dose-dependent phosphorylated signal transducer and activator of transcription 1 (P-STAT1) formation by immunoblot analysis and electrophoretic mobility shift assay (EMSA). Freshly isolated peripheral blood mononuclear cells (PBMCs) from a healthy donor were treated for 15 minutes with increasing doses of interferon alfa (IFN {alpha}) or phosphate-buffered saline (PBS) and simultaneously processed for flow cytometry (A), immunoblot analysis (B), and EMSA analysis (C). A) Fluorescence data are presented as specific fluorescence intensity of P-STAT1 staining (Fsp = Ft – Fb). Open histograms represent fluorescence from PBMCs stained with isotype control antibodies; solid histograms represent specific fluorescence from PBMCs stained with an anti-P-STAT1 antibody. The x-axis of each histogram represents specific fluorescence of P-STAT1 on a four-decade logarithmic scale, and the y-axis represents the total number of events. Appropriate isotype control antibodies were used to set markers (M1) in each histogram. B) Lysates were prepared from freshly isolated PBMCs following treatment for 15 minutes with PBS or various doses of IFN {alpha} (1 IU/mL to 1 x 105 IU/mL) and subjected to immunoblot analysis using the same anti-P-STAT1 monoclonal antibody used for flow cytometry. Densitometric analysis of the P-STAT1 immunoblot relative to {beta}-actin (housekeeping gene) was used to quantify these results. C) EMSA analysis of cell lysates was performed using a serum-inducible element of the c-fos promoter (SIE) oligonucleotide probe with an affinity for activated STAT proteins. Arrow denotes labeled SIE probe binding to activated STAT proteins. This experiment was repeated twice with similar results.

 
Association Between Levels of P-STAT1 Detected by Flow Cytometry and IFN {alpha}–Stimulated Gene Expression

We next examined the relationship between IFN {alpha}-2b induction of P-STAT1 and the expression of known IFN {alpha}–stimulated genes. PBMCs from a healthy donor were treated with various doses of IFN {alpha}-2b and aliquots were processed for flow cytometric analysis of P-STAT1 (after 15 minutes of treatment) and real-time RT-PCR analysis of ISG-15, ISG-54, and OAS-1 gene expression (after 4 hours of treatment). We observed dose-dependent increases in the levels of P-STAT1 and ISG-54 and OAS-1 mRNAs following stimulation with IFN {alpha}-2b (Fig. 3, A–C). We also observed an attenuated dose-dependent increase in the level of ISG-15 mRNA in PBMCs following stimulation with IFN {alpha}-2b: ISG-15 mRNA levels were comparable following stimulation with 103 or 104 IU/mL of IFN {alpha}-2b (Fig. 3, D). These observations suggest that dose-specific and variable patterns of gene expression occur in immune effector cells following exogenous administration of IFN {alpha}-2b.



View larger version (22K):
[in this window]
[in a new window]
 
Fig. 3. Dose-dependent activation of signal transducer and activator of transcription 1 (STAT1) and expression of known IFN {alpha}-responsive genes. A) Peripheral blood mononuclear cells (PBMCs) were isolated from a healthy adult donor and stimulated with various doses of interferon alfa (IFN {alpha}) or phosphate-buffered saline (PBS) for 15 minutes; levels of phosphorylated STAT1 (P-STAT1) were measured by flow cytometry. Total RNA was isolated from PBMCs from the same individual following stimulation of the cells for 4 hours with increasing doses of IFN {alpha} or PBS and converted to cDNA; the cDNA was subjected to real-time reverse transcription–polymerase chain reaction (RT-PCR) analysis to detect expression of 2',5'-oligoadenylate synthetase 1 (OAS-1) (B), interferon–stimulated gene 54 (ISG-54) (C), and ISG-15 (D). Real-time RT-PCR data were obtained in triplicate and are expressed as the mean fold increase relative to the level of {beta}-actin mRNA (housekeeping gene). Error bars = upper 95% confidence intervals.

 
P-STAT1 Levels in Subsets of Immune Cells

A systematic analysis of IFN {alpha}-induced signal transduction in immune cell subsets has not previously been reported. We therefore developed a dual-parameter flow cytometric technique that uses antibodies that stain intracellular and extracellular proteins to assay the activation of STAT1 within T lymphocytes, NK cells, B lymphocytes, and monocytes. PBMCs treated with IFN {alpha}-2b (104 IU/mL for 15 minutes) displayed a rapid induction of P-STAT1 in the T lymphocyte, NK cell, B lymphocyte, and monocyte compartments when compared with PBMCs treated with PBS (P<.05 for each comparison) (Fig. 4, A). Although every cell type tested displayed an increase in the level of P-STAT1 after IFN {alpha} treatment, the most robust response to this cytokine appeared to occur within T lymphocytes and monocytes. Multiparametric staining and immunoblot analysis indicated that the increased levels of activated STAT1 observed in IFN {alpha}-treated T lymphocytes and monocytes probably reflect the greater overall levels of STAT1 protein in T lymphocytes and monocytes than in NK cells and B lymphocytes (Fig. 5, A and B; data not shown). We also examined Jak-STAT signal transduction in cultured dendritic cells because recent studies (21,22) have indicated that IFN {alpha} may play an important role in modulating the maturation and function of this antigen-presenting cell type. Mature dendritic cells (i.e., cells that were >98% CD11-positive, 100% CD83-positive, and <1% CD14-positive) treated with IFN {alpha}-2b displayed an increase in the level of P-STAT1 compared with mature dendritic cells treated with PBS (Fig. 4, B; data not shown). These data suggest that the major subsets of immune cells exhibit different responses to IFN {alpha} in terms of their levels of Jak-STAT signal transduction. These data also suggest that the therapeutic effects of IFN {alpha} therapy may involve the actions of multiple cellular compartments.



View larger version (36K):
[in this window]
[in a new window]
 
Fig. 4. Measurement of phosphorylated signal transducer and activator of transcription 1 (P-STAT1) in subsets of immune cells. A) Peripheral blood mononuclear cells (PBMCs) were isolated from healthy adults, stimulated with either 104 IU/mL interferon alfa (IFN {alpha}) or phosphate-buffered saline (PBS) for 15 minutes, and immediately processed for staining with antibodies to intracellular P-STAT1 and to extracellular surface molecules (CD3, CD14, CD21, or CD56) and flow cytometry. Quadrants were set using appropriate isotype controls for each intra- and extracellular antibody. A) Dual-parameter histograms represent only cells gated on the lymphocyte population (CD3, CD21, or CD56 staining) or the lymphocyte and monocyte populations (CD14 staining). The x-axis of each histogram represents specific fluorescence of P-STAT1; the y-axis represents specific fluorescence of extracellular CD3APC (T lymphocytes), NKRD1 (NK cells), CD21APC (B lymphocytes) or CD14APC (monocytes) on four-decade logarithmic scales. Data shown are representative of typical staining observed for PBMCs from healthy adults. B) Mature dendritic cells were generated from PBMCs of a healthy adult donor as previously described (19). A mature dendritic cell phenotype (CD11-positive, CD83-positive, and CD14-negative) was confirmed (data not shown), and cells from the same culture were stimulated for 15 minutes with IFN {alpha} (104 IU/mL) or PBS and subjected to flow cytometry. The x-axis of the histogram represents specific fluorescence of P-STAT1 on a four-decade logarithmic scale, and the y-axis represents the total number of events. Appropriate isotype control antibodies were used to set markers (M1) in the histogram. STAT1 was activated in >95% of mature dendritic cells following treatment with IFN {alpha}.

 


View larger version (37K):
[in this window]
[in a new window]
 
Fig. 5. Levels of signal transducer and activator of transcription 1 (STAT1) protein in T lymphocytes and natural killer (NK) cells. A) PBMCs were isolated from normal healthy adults and stained with antibodies against STAT1 (intracellular) and CD56 or CD3 (extracellular). The graph represents the specific fluorescence intensity of STAT1 (Fsp = Ft – Fb) in T lymphocytes (CD3+/STAT1+) or NK cells (CD56+/STAT1+). Data shown represent the mean Fsp of total STAT1 protein in three healthy adult donors; error bars represent upper 95% confidence intervals. B) Differential STAT1 protein expression in NK cells and T lymphocytes was confirmed by immunoblot analysis. Lysates were prepared from equal numbers (5 x 106) of freshly isolated and purified NK cells or T lymphocytes (>95% pure by flow cytometric analysis; data not shown). Lysates from A431 cells (Cell Signaling Technology) were used as a positive control for STAT1 expression, and {beta}-actin levels were measured to control for equal loading.

 
STAT1 and STAT2 Expression in PBMCs From Healthy Donors and Melanoma Patients

Other studies have documented that patients with advanced malignancies have reduced levels of critical signaling intermediates in their T cells compared with that in T cells from healthy subjects (2325). We therefore used flow cytometry to examine the intracellular levels of STAT1 and STAT2, another protein involved in Jak-STAT signal transduction, in PBMCs from patients with malignant melanoma and from healthy donors (Fig. 6). The mean levels of unphosphorylated STAT1 in PBMCs obtained from melanoma patients and healthy donors were not statistically significantly different (mean Fsp: 57.1 in healthy donors versus 48.8 in patients, difference = 8.3, 95% CI = –5.9 to 22.6, P = .232). The mean levels of STAT2 in PBMCs obtained from melanoma patients and healthy donors were also not statistically significantly different (mean Fsp: 54.3 in healthy donors versus 60.6 in patients, difference = –6.3, 95% CI = –25.7 to 13.2, P = .529). However, PBMCs from melanoma patients displayed statistically significantly more variability in median levels of STAT2 than PBMCs from healthy donors (P = .045).



View larger version (14K):
[in this window]
[in a new window]
 
Fig. 6. Signal transducer and activator of transcription 1 (STAT1) and STAT2 protein levels in PBMCs from healthy donors and melanoma patients. Peripheral blood mononuclear cells (PBMCs) were isolated from healthy donors and melanoma patients, stained for intracellular STAT1 or STAT2 protein, and analyzed by flow cytometry. STAT1 and STAT2 levels (measured in specific fluorescence or Fsp) are shown on the y-axis. Each solid circle represents an individual; horizontal bars represent the mean STAT1 or STAT2 level within each respective group. P values represent the comparisons of mean levels of STAT1 and STAT2 between melanoma patients and healthy donors (two-sided Mann–Whitney U test); *P = .045 for comparison of the variances among STAT2 levels between patients and healthy donors.

 
P-STAT1 Levels in IFN {alpha}-Treated PBMCs From Healthy Donors and Melanoma Patients

We used multiparametric staining to examine STAT1 activation within immune effector cells following treatment with IFN {alpha}-2b ex vivo. PBMCs freshly procured from healthy donors and from patients with metastatic malignant melanoma were treated with PBS or IFN {alpha}-2b (104 IU/mL) for 15 minutes and analyzed for their levels of P-STAT1. Healthy donors had statistically significantly higher basal levels of P-STAT1 (FspPBS; i.e., the level of P-STAT1 in PBS-treated cells) in total PBMCs, NK cells, and T cells than melanoma patients (mean FspPBS in total PBMCs: 5.5 in healthy donors versus 1.6 in patients, difference = 3.9, 95% CI = 1.4 to 6.5, P = .004; mean FspPBS in NK cells: 4.6 in healthy donors versus 0.9 in patients, difference = 3.7, 95% CI = 1.7 to 5.7, P = .001; mean FspPBS in T cells: 6.8 in healthy donors versus 0.9 in patients, difference = 5.9, 95% CI = 2.5 to 9.3, P = .002) (Fig. 7). However, after ex vivo stimulation of PBMCs with IFN {alpha}-2b, P-STAT1 levels (FspIFN {alpha}) in total PBMCs, NK cells, and T cells from melanoma patients were not statistically significantly different from those in PBMCs, NK cells, and T cells, respectively, of healthy donors (mean FspIFN {alpha} in total PBMCs: 28.3 in healthy donors versus 32.5 in patients, difference = –4.2, 95% CI = –16.0 to 7.6, P = .472; mean FspIFN {alpha} in NK cells: 14.8 in healthy donors versus 15.6 in patients, difference = –0.8, 95% CI = –6.3 to 4.8, P = .79; mean FspIFN {alpha} in T cells: 46.0 in healthy donors versus 51.0 in patients, difference = –5.0, 95% CI = –23.7 to 13.7, P = .587) (Fig. 7). To determine the amount of STAT1 phosphorylation induced specifically in response to IFN {alpha} treatment, we used these values to calculate the specific activation of STAT1 (FspIFN {alpha} FspPBS). The specific activation of STAT1 in total PBMCs was not statistically significantly different between patients and healthy donors (mean specific activation in total PBMCs was 22.8 in healthy donors versus 30.9 in patients, difference = –8.1, 95% CI = –19.1 to 2.8, P = .139). Similar results were obtained for the specific activation of STAT1 in CD3-positive T lymphocytes (mean specific activation in CD3+ cells was 39.2 in healthy donors versus 50.1 in patients, difference = –10.9, 95% CI = –26.1 to 4.8, P = .263) and in CD56-positive NK cells (mean specific activation in CD56+ cells was 10.3 in healthy donors versus 14.7 in patients, difference = –4.4, 95% CI = –10.0 to 1.1, P = .111).



View larger version (19K):
[in this window]
[in a new window]
 
Fig. 7. Phosphorylated signal transducer and activator of transcription 1 (P-STAT1) levels in treated peripheral blood mononuclear cells (PBMCs) from healthy donors and melanoma patients. Total PBMCs were isolated from healthy adult donors and melanoma patients, treated with PBS or interferon alfa (IFN {alpha}) (104 IU/mL) for 15 minutes, co-stained for intracellular P-STAT1 protein and surface expression of CD3 or CD56, and analyzed by flow cytometry. Specific fluorescence of P-STAT1 within the total PBMCs, CD56+, and CD3+ cell populations was measured for each individual, and mean values are shown on the y-axis; error bars = 95% confidence intervals. P values represent the differences in mean P-STAT1 levels between healthy donors and patients (two-sided Mann–Whitney U test).

 
Detection of P-STAT1 in PBMCs From Patients Undergoing IFN {alpha}-2b Immunotherapy

We used our flow cytometry method to analyze STAT1 phosphorylation in immune effector cells obtained from five melanoma patients who were undergoing immunotherapy with IFN {alpha}-2b. We examined the specific activation of STAT1 following administration of IFN {alpha}-2b as well as the relative efficacy of different doses of interferon with respect to activation of STAT1. For these experiments, we used PBMCs isolated from peripheral venous blood obtained immediately before and 1 hour after the patients had received various doses of IFN {alpha}-2b. Levels of P-STAT1 were strongly induced in the PBMCs of patient A, who received a high intravenous dose of IFN {alpha}-2b (20 MU/m2 [MU = million units]); most (>98%) of the PBMCs analyzed from this patient exhibited STAT1 activation (P-STAT1 Fsppretreatment = 0.35; P-STAT1 Fspposttreatment = 10.24; data not shown). Analysis of PBMCs from patient B, who received 1 MU/m2 IFN {alpha}-2b by subcutaneous injection, revealed that P-STAT1 levels also increased in response to a very low dose of IFN {alpha}-2b (P-STAT1 Fsppretreatment = 0.48; P-STAT1 Fspposttreatment = 1.34; data not shown). We also analyzed PBMCs from patient C, who received subcutaneous injections of 5 MU/m2 IFN {alpha}-2b and 10 MU/m2 IFN {alpha}-2b (the 10 MU/m2 sample was obtained 2 months after IFN {alpha} immunotherapy with 5 MU/m2 was initiated on a thrice-weekly injection schedule). P-STAT1 levels in the PBMCs of this patient also increased in response to treatments with IFN {alpha}-2b but did not increase further with the increased dosage of IFN {alpha}-2b (Fig. 8, A). Additional venous blood procured from this patient at each time point was used to isolate RNA from total PBMCs to measure activation of known IFN {alpha}-responsive genes relative to pretreatment values. Real-time RT-PCR analysis indicated that dose escalation of IFN {alpha}-2b was associated with an increase in expression of OAS-1 mRNA, but with only modest increases in the expression of ISG-54 and ISG-15 mRNAs (Fig. 8, B).



View larger version (33K):
[in this window]
[in a new window]
 
Fig. 8. Detection of phosphorylated signal transducer and activator of transcription 1 (P-STAT1) in lymphocytes from patients undergoing interferon alfa (IFN {alpha}) immunotherapy. Peripheral blood mononuclear cells (PBMCs) were isolated from melanoma patients immediately before and 1 hour after they underwent IFN {alpha} immunotherapy and were analyzed for P-STAT1 levels by flow cytometry. Histograms represent only cells gated on the lymphocyte population. The x-axis of the histogram represents specific fluorescence of P-STAT1 on a four-decade logarithmic scale, whereas the y-axis represents the total number of events. Appropriate isotype control antibodies were used to set markers (M1) in each histogram. PBMCs obtained from an individual patient (patient C) with malignant melanoma immediately before (open histogram) and 1 hour after immunotherapy with escalating doses of IFN {alpha} were assayed for (A) activated STAT1 by flow cytometry (5 MU/m2 by subcutaneous injection, red histogram; 10 MU/m2 by subcutaneous injection, blue histogram) (the 10 MU/m2 sample was obtained 2 months after IFN {alpha} immunotherapy with 5 MU/m2 was initiated on a thrice-weekly injection schedule) and (B) the expression of three known IFN {alpha}-responsive genes (2',5'-oligoadenylate synthetase 1 [OAS-1], interferon-stimulated gene 54 [ISG-54], and ISG-15) by real-time reverse transcription-polymerase chain reaction. All gene expression values are relative to values obtained using PBMCs collected before the patient underwent treatment, were normalized to values for {beta}-actin (housekeeping gene), and represent mean values of data obtained from triplicate wells. C) Peripheral venous blood from two additional melanoma patients was obtained before and 1 hour after the patients received high-dose IFN {alpha} immunotherapy (20 MU/m2 administered intravenously) and analyzed by multiparametric staining for the presence of P-STAT1 within T cells and NK cells. Quadrants were set using appropriate isotype controls for each intra- and extracellular antibody. Dual-parameter histograms represent only cells gated on the lymphocyte population. The x-axis of each histogram represents specific fluorescence of P-STAT1, and the y-axis represents specific fluorescence of extracellular NKRD1 (NK cells) or CD3APC (T lymphocytes) on four-decade logarithmic scales. Tx = treatment.

 
We next used dual-parameter flow cytometry to examine STAT1 activation in specific subsets of immune cells from two additional melanoma patients (patients D and E); PBMCs were isolated from venous blood obtained immediately before and 1 hour after these patients received intravenous administration of high-dose IFN {alpha}-2b (20 MU/m2). These experiments revealed that STAT1 signal transduction within the NK cell and T lymphocyte compartments could be monitored in the context of IFN {alpha} immunotherapy with this flow cytometric method (Fig. 8, C). Together, these results suggest that dose-dependent activation of STAT1 and IFN {alpha}-responsive gene expression can be detected in PBMCs from individuals undergoing immunotherapy with IFN {alpha}-2b.


    DISCUSSION
 Top
 Notes
 Abstract
 Introduction
 Materials and Methods
 Results
 Discussion
 References
 
We used a novel multiparametric flow cytometry assay to measure IFN {alpha}-induced phosphorylation of STAT1 in specific subsets of immune cells from healthy individuals and patients with malignant melanoma. Results of our in vitro studies revealed that STAT1 phosphorylation was rapidly stimulated in a dose-dependent manner in all major immune cell subsets following IFN {alpha}-2b treatment. These results were validated by EMSA and immunoblot analysis and further confirmed by results of our analysis of IFN {alpha}–stimulated gene expression. This flow cytometric technique was more rapid and more sensitive than immunoblot or EMSA analysis, requiring only a fraction of the cells needed for analysis by these conventional methods. We found that STAT1 phosphorylation reached maximum levels, even after treatment with relatively low concentrations of IFN {alpha} (102–103 U/mL), and that basal phosphorylation of STAT1 was also routinely detectable using this method. This finding is clinically significant when one considers that high-dose IFN {alpha} (20 MU/m2) is used in the setting of metastatic disease with the goal of achieving the highest possible serum concentrations (26).

Analysis of signaling within NK cells, T lymphocytes, B lymphocytes, monocytes, and dendritic cells revealed that each of these subsets of immune cells responded to IFN {alpha} with an increase in P-STAT1. However, we observed that T lymphocytes and monocytes displayed more P-STAT1 after IFN {alpha} treatment than the other immune cell subsets; further analysis revealed that these differences reflected the higher basal levels of STAT1 protein in these two subsets than in the other subsets. We also found that flow cytometry was useful for measuring the basal expression of STAT1 and for monitoring variation in STAT1 activation within subsets of immune effector cells of patients who were undergoing immunotherapy. P-STAT1 was detectable in circulating PBMCs of patients who received subcutaneous administration of the lowest dose of IFN {alpha} (1 x 106 U/m2) that is used clinically. Although high-dose IFN {alpha} (i.e., 20 MU/m2 administered intravenously) routinely stimulated the phosphorylation of STAT1 in more than 98% of PBMCs, there appeared to be some inter-patient variability in the overall levels of P-STAT1 within both the NK cell and T cell compartments. In addition, analysis of a patient who received escalating doses of IFN {alpha} revealed that low levels of IFN {alpha} were just as effective in the induction of STAT signal transduction and gene expression as were higher doses that were considerably more toxic.

We have previously shown that STAT1 in melanoma cells is rapidly and reproducibly activated in response to clinically relevant doses of IFN {alpha} (18). However, our interest in analyzing IFN {alpha} signal transduction in immune cell subsets was predicated on our recent discoveries that exogenous IFN {alpha} did not prolong the survival of STAT1-deficient mice challenged with STAT1-competent melanoma cells and that restoring STAT1 expression to a STAT1-deficient murine melanoma cell line did not prolong the survival of tumor-bearing normal mice receiving IFN {alpha} (4). Theoretically, the antitumor activity of IFN {alpha} in patients with malignant melanoma might involve effects on both tumor cells and immune cells. In this case, an analysis of IFN {alpha}-induced STAT1 activation in subsets of PBMCs would have to be interpreted with caution because the results might reflect the signaling events that took place within the immune cells rather than those that took place within the melanoma cells. We were therefore intrigued by recent reports that flow cytometry could be used to measure the activation state of MAP kinase, STAT1, and STAT4 on a per-cell basis (15,27,28). For example, an initial report by Fleisher et al. (15) demonstrated that flow cytometric analysis of P-STAT1 was feasible; however, this study was limited to the detection of P-STAT1 in PBMCs from healthy individuals following ex vivo stimulation with IFN-gamma and did not explore the application of this assay to the evaluation of patient PBMCs following immunotherapy with IFN {alpha}-2b (15). An elegant study by Perez and Nolan (29) extended this technology to simultaneously detect activated members of the mitogen-activated protein kinase family (i.e., p38 MAPK, p44/42 MAPK, and JNK/SAPK) and activated members of cell survival pathways (e.g., AKT/PKB) in PBMCs. The technique we describe for analyzing signal transduction within specific subsets of immune cells does not require isolation of the individual cell types from total PBMCs. Moreover, it is rapid, requires very few cells for the generation of meaningful data, and can be applied to cell preparations that have been subjected to minimal manipulation. Indeed, our comprehensive analysis of IFN {alpha} responsiveness within the NK cells, T lymphocytes, monocytes, and B lymphocytes from a single individual is the first of its kind and is not subject to the technical limitations of EMSA and immunoblot analysis.

We observed that maximal STAT1 activation and expression of IFN {alpha}-responsive genes in PBMCs occurred concomitantly after in vitro stimulation of isolated PBMCs with low doses of IFN {alpha} (102–103 U/mL) and that higher doses of IFN {alpha} did not lead to increased signal transduction. These findings suggested that maximal signal transduction might occur at different doses of IFN {alpha} in different patients and that this flow cytometric technique might be useful for determining the optimal doses of IFN {alpha} for patients. We found that PBMCs from a patient treated with escalating subcutaneous doses of IFN {alpha} (i.e., 5 MU/m2 and 10 MU/m2) displayed only a minimal increase in the levels of P-STAT1 and IFN {alpha}–stimulated gene expression at the higher dose level than at the lower dose level. Importantly, this patient experienced a clinically significant increase in toxicity following the dose escalation to 10 MU/m2. The fact that escalated dosage of IFN {alpha} was accompanied by clinical toxicity but not increased signaling or gene expression in PBMCs challenges the assumption that IFN {alpha} must be administered at the highest tolerated dose for all patients to receive clinical benefits.

Our data also suggest that individual responsiveness to IFN {alpha} at the level of Jak-STAT signal transduction may contribute to the low response rates and variable results that have been achieved with IFN {alpha} immunotherapy among patients with malignant melanoma. In a recent report by Whitney et al. (30), microarray technology was used to explore the extent of interindividual variation in gene expression within the unstimulated PBMCs of 75 healthy volunteers. They found that the greatest degree of interindividual variation occurred within a cluster of 15 genes known to be responsive to IFN. In this study, we observed some variability in the levels of P-STAT1 among melanoma patients who received high-dose IFN {alpha}. However, additional patients must be analyzed to determine whether the inter-patient variability is statistically significant. Choosing an appropriate dosage of IFN {alpha} on a patient-by-patient basis is a serious challenge for oncologists. To date, dosage determination has been accomplished either through the use of a maximally tolerated dose followed by reductions for clinically significant toxicities or by using dose-escalation schemas that also have toxicity as their primary endpoint. Our results suggest that further analysis of patient responsiveness to IFN {alpha} using flow cytometry for P-STAT1 levels and microarray techniques for gene expression is warranted.

In this study, we used flow cytometry to examine differences in components of the Jak-STAT pathway between healthy adult donors and malignant melanoma patients. We found that unstimulated PBMCs from melanoma patients had statistically significantly less P-STAT1 than unstimulated PBMCs from healthy donors, despite the fact that unstimulated PBMCs from patients and healthy donors had similar levels of the unphosphorylated STAT1 protein. The presence of reduced basal P-STAT1 levels in PBMCs from patients suggests that the Jak-STAT signal transduction pathway might be altered in patients with advanced malignancy or that immune effector cells of patients were exposed to an altered cytokine milieu. Although patient NK cells, T cells, and PBMCs have statistically significantly lower basal levels of P-STAT1 than do cells from healthy donors, the fact that this difference is lost following in vitro activation of immune cells with IFN {alpha} suggests that the lower level of basal activation in patient cells is readily reversible. General defects in host immunity are common to cancer patients, and altered immune function has been routinely reported for tumor-bearing animals and cancer patients. Some of the observed defects include diminished levels of lymphocyte cytotoxic activity and proliferation (31,32), impaired production of Th1 cytokines, and reduced NK cell activity (33,34). Alterations in the levels of specific signal transduction molecules have also been reported in both tumor-infiltrating lymphocytes and peripheral lymphocytes (23). For example, defects in the T-cell receptor zeta chain, p56 (lck) kinase, ZAP-70 expression, and nuclear factor–{kappa}B activation are associated with stage of disease and prognosis in patients with melanoma and renal cell carcinoma (24,25).

Despite numerous reports of abnormal cytokine signal transduction in patients with advanced malignancies, the mechanisms responsible for these signaling abnormalities remain unclear. However, because melanoma cells can secrete cytokines such as IL-6 and IL-10 (3537), it is conceivable that these factors may lead to the induction of negative regulators of IFN {alpha} signal transduction and reduced levels of activated STAT proteins. Thus, an altered cytokine profile could lead to inhibitory effects on immune cells of patients with advanced malignancies (3840). Further studies involving microarray analysis of gene expression in patients treated with IFN {alpha} and continued clinical observation will be necessary to determine whether the patterns of Jak-STAT signaling that we report here are associated with a patient’s response to IFN {alpha} immunotherapy. However, the flow cytometric technique we used has also been used to demonstrate the ability of IL-12 pretreatments to enhance IFN {alpha}-induced signal transduction (41) and is currently being used to assess STAT1 activation in PBMCs of malignant melanoma patients who are enrolled in a nationwide Cancer and Leukemia Group B (CALGB)–sponsored phase II clinical trial of IL-12 and IFN {alpha} (CALGB 500001).

We have used a sensitive and efficient flow cytometric assay to demonstrate that maximal activation of STAT1 in immune effector cells occurs in response to relatively low doses of IFN {alpha} and that the host response to immunotherapy with IFN {alpha}-2b is highly variable among patients and among immune cell subsets. Until the precise molecular determinants of IFN {alpha} responsiveness are identified, it seems reasonable to use signal transduction as a surrogate marker of IFN {alpha} action in patients undergoing immunotherapy. We anticipate that this flow cytometric method could be used to rapidly determine IFN {alpha} sensitivity by using patient PBMCs ex vivo. This method could also be used as a means of identifying the dose of IFN {alpha} that produces optimal Jak-STAT signal transduction and gene regulation on a patient-by-patient basis.


    NOTES
 Top
 Notes
 Abstract
 Introduction
 Materials and Methods
 Results
 Discussion
 References
 
Supported by Public Health Service grants CA84402 (to W. E. Carson) and P30-CA16058 (to M. A. Caligiuri) from the National Cancer Institute, National Institutes of Health, Department of Health and Human Services; by a grant from The Valvano Foundation for Cancer Research Award (to W. E. Carson), and by The Ohio State University Department of Surgery Clinical Science Seed Grant (to W. E. Carson). G. B. Lesinski is a National Research Service Award T32 Fellow (5 T32 CA90223-02).

We thank Dr. James W. Jacobberger for helpful suggestions with data analysis and Mark Kotur in the Dorothy Davis Heart and Lung Research Institute Flow Cytometry and Cell Analysis Core (The Ohio State University) for technical assistance.


    REFERENCES
 Top
 Notes
 Abstract
 Introduction
 Materials and Methods
 Results
 Discussion
 References
 

1 Atkins MB. Immunotherapy and experimental approaches for metastatic melanoma. Hematol Oncol Clin North Am 1998;12:877–902.[ISI][Medline]

2 Lens MB, Dawes M. Interferon alfa therapy for malignant melanoma: a systematic review of randomized controlled trials. J Clin Oncol 2002;20:1818–25.[Abstract/Free Full Text]

3 Kirkwood JM, Ibrahim JG, Sosman JA, Sondak VK, Agarwala SS, Ernstoff MS, et al. High-dose interferon alfa-2b significantly prolongs relapse-free and overall survival compared with the GM2-KLH/QS-21 vaccine in patients with resected stage IIB-III melanoma: results of intergroup trial E1694/S9512/C509801. J Clin Oncol 2001;19:2370–80.[Abstract/Free Full Text]

4 Lesinski GB, Anghelina M, Zimmerer J, Bakalakos T, Badgwell B, Parihar R, et al. The anti-tumor effects of interferon-alpha are abrogated in a STAT1-deficient mouse. J Clin Invest 2003;112:170–80.[Abstract/Free Full Text]

5 Castelli C, Rivoltini L, Andreola G, Carrabba M, Renkvist N, Parmiani G. T-cell recognition of melanoma-associated antigens. J Cell Physiol 2000;182:323–31.[CrossRef][ISI][Medline]

6 Navarro S, Colamonici OR, Llombart-Bosch A. Immunohistochemical detection of the type I interferon receptor in human fetal, adult, and neoplastic tissues. Mod Pathol 1996;9:150–6.[ISI][Medline]

7 von Stamm U, Brocker EB, von Depka Prondzinski M, Ruiter DJ, Rumke P, Broding C, et al. Effects of systemic interferon-alpha (IFN-alpha) on the antigenic phenotype of melanoma metastases. EORTC melanoma group cooperative study No. 18852. Melanoma Res 1993;3:173–80.[ISI][Medline]

8 Haque SJ, Williams BR. Signal transduction in the interferon system. Semin Oncol 1998;25:14–22.[ISI][Medline]

9 Darnell JE Jr, Kerr IM, Stark GR. Jak-STAT pathways and transcriptional activation in response to IFNs and other extracellular signaling proteins. Science 1994;264:1415–21.[ISI][Medline]

10 Levy DE, Kessler DS, Pine R, Reich N, Darnell JE Jr. Interferon-induced nuclear factors that bind a shared promoter element correlate with positive and negative transcriptional control. Genes Dev 1988;2:383–93.[Abstract]

11 Meraro D, Gleit-Kielmanowicz M, Hauser H, Levi BZ. IFN-stimulated gene 15 is synergistically activated through interactions between the myelocyte/lymphocyte-specific transcription factors, PU.1, IFN regulatory factor-8/IFN consensus sequence binding protein, and IFN regulatory factor-4: characterization of a new subtype of IFN-stimulated response element. J Immunol 2002;168:6224–31.[Abstract/Free Full Text]

12 Hatina VJ, Kralova J, Jansa P. Identification of an intragenic interferon-stimulated response element sequence of the mouse class I major histocompatibility complex H-2Kb gene. Exp Clin Immunogenet 1996;13:55–60.[ISI][Medline]

13 Ohmori Y, Hamilton TA. The interferon-stimulated response element and a kappa B site mediate synergistic induction of murine IP-10 gene transcription by IFN-gamma and TNF-alpha. J Immunol 1995;154:5235–44.[Abstract/Free Full Text]

14 Parihar R, Dierksheide J, Hu Y, Carson WE. IL-12 enhances the natural killer cell cytokine response to Ab-coated tumor cells. J Clin Invest 2002;110:983.[Abstract/Free Full Text]

15 Fleisher TA, Dorman SE, Anderson JA, Vail M, Brown MR, Holland SM. Detection of intracellular phosphorylated STAT-1 by flow cytometry. Clin Immunol 1999;90:425–30.[CrossRef][ISI][Medline]

16 Ji S, Frank SJ, Messina JL. Growth hormone-induced differential desensitization of STAT5, ERK, and Akt phosphorylation. J Biol Chem 2002;277:28384–93.[Abstract/Free Full Text]

17 Sadowski HB, Shuai K, Darnell JE, Jr., Gilman MZ. A common nuclear signal transduction pathway activated by growth factor and cytokine receptors. Science 1993;261:1739–44.[ISI][Medline]

18 Carson WE. Interferon-alpha-induced activation of signal transducer and activator of transcription proteins in malignant melanoma. Clin Cancer Res 1998;4:2219–28.[Abstract]

19 Vegh Z, Mazumder A. Generation of tumor cell lysate-loaded dendritic cells preprogrammed for IL-12 production and augmented T cell response. Cancer Immunol Immunother 2003;52:67–79.[ISI][Medline]

20 Zar JH. Biostatistical analysis. 4th ed. Upper Saddle River (NJ): Prentice-Hall; 1999. p. 136–9.

21 Moschella F, Bisikirska B, Maffei A, Papadopoulos KP, Skerrett D, Liu Z, et al. Gene expression profiling and functional activity of human dendritic cells induced with IFN-alpha-2b: implications for cancer immunotherapy. Clin Cancer Res 2003;9:2022–31.[Abstract/Free Full Text]

22 Montoya M, Schiavoni G, Mattei F, Gresser I, Belardelli F, Borrow P, et al. Type I interferons produced by dendritic cells promote their phenotypic and functional activation. Blood 2002;99:3263–71.[Abstract/Free Full Text]

23 Matsuda M, Petersson M, Lenkei R, Taupin JL, Magnusson I, Mellstedt H, et al. Alterations in the signal-transducing molecules of T cells and NK cells in colorectal tumor-infiltrating, gut mucosal and peripheral lymphocytes: correlation with the stage of the disease. Int J Cancer 1995;61:765–72.[ISI][Medline]

24 Rabinowich H, Banks M, Reichert TE, Logan TF, Kirkwood JM, Whiteside TL. Expression and activity of signaling molecules in T lymphocytes obtained from patients with metastatic melanoma before and after interleukin 2 therapy. Clin Cancer Res 1996;2:1263–74.[Abstract]

25 Zea AH, Curti BD, Longo DL, Alvord WG, Strobl SL, Mizoguchi H, et al. Alterations in T cell receptor and signal transduction molecules in melanoma patients. Clin Cancer Res 1995;1:1327–35.[Abstract]

26 Shah I, Band J, Samson M, Young J, Robinson R, Bailey B, et al. Pharmacokinetics and tolerance of intravenous and intramuscular recombinant alpha 2 interferon in patients with malignancies. Am J Hematol 1984;17:363–71.[ISI][Medline]

27 Chow S, Patel H, Hedley DW. Measurement of MAP kinase activation by flow cytometry using phospho-specific antibodies to MEK and ERK: potential for pharmacodynamic monitoring of signal transduction inhibitors. Cytometry 2001;46:72–8.[CrossRef][ISI][Medline]

28 Uzel G, Frucht DM, Fleisher TA, Holland SM. Detection of intracellular phosphorylated STAT-4 by flow cytometry. Clin Immunol 2001;100:270–6.[CrossRef][ISI][Medline]

29 Perez OD, Nolan GP. Simultaneous measurement of multiple active kinase states using polychromatic flow cytometry. Nat Biotechnol 2002;20:155–62.[ISI][Medline]

30 Whitney AR, Diehn M, Popper SJ, Alizadeh AA, Boldrick JC, Relman DA, et al. Individuality and variation in gene expression patterns in human blood. Proc Natl Acad Sci U S A 2003;100:1896–901.[Abstract/Free Full Text]

31 Alexander JP, Kudoh S, Melsop KA, Hamilton TA, Edinger MG, Tubbs RR, et al. T-cells infiltrating renal cell carcinoma display a poor proliferative response even though they can produce interleukin 2 and express interleukin 2 receptors. Cancer Res 1993;53:1380–7.[Abstract]

32 Miescher S, Stoeck M, Qiao L, Barras C, Barrelet L, von Fliedner V. Proliferative and cytolytic potentials of purified human tumor-infiltrating T lymphocytes. Impaired response to mitogen-driven stimulation despite T-cell receptor expression. Int J Cancer 1988;42:659–66.[ISI][Medline]

33 Healy CG, Simons JW, Carducci MA, DeWeese TL, Bartkowski M, Tong KP, et al. Impaired expression and function of signal-transducing zeta chains in peripheral T cells and natural killer cells in patients with prostate cancer. Cytometry 1998;32:109–19.[CrossRef][ISI][Medline]

34 Sato M, Goto S, Kaneko R, Ito M, Sato S, Takeuchi S. Impaired production of Th1 cytokines and increased frequency of Th2 subsets in PBMC from advanced cancer patients. Anticancer Res 1998;18:3951–5.[ISI][Medline]

35 Ijland SA, Jager MJ, Heijdra BM, Westphal JR, Peek R. Expression of angiogenic and immunosuppressive factors by uveal melanoma cell lines. Melanoma Res 1999;9:445–50.[ISI][Medline]

36 Moretti S, Chiarugi A, Semplici F, Salvi A, De Giorgi V, Fabbri P, et al. Serum imbalance of cytokines in melanoma patients. Melanoma Res 2001;11:395–9.[CrossRef][ISI][Medline]

37 Dummer W, Becker JC, Schwaaf A, Leverkus M, Moll T, Brocker EB. Elevated serum levels of interleukin-10 in patients with metastatic malignant melanoma. Melanoma Res 1995;5:67–8.[ISI][Medline]

38 Grimm EA, Smid CM, Lee JJ, Tseng CH, Eton O, Buzaid AC. Unexpected cytokines in serum of malignant melanoma patients during sequential biochemotherapy. Clin Cancer Res 2000;6:3895–903.[Abstract/Free Full Text]

39 Francis GM, Krohn EG, Woods KV, Buzaid AC, Grimm EA. Interleukin-6 production and secretion in human melanoma cell lines: regulation by interleukin-1. Melanoma Res 1996;6:191–201.[ISI][Medline]

40 Ekmekcioglu S, Okcu MF, Colome-Grimmer MI, Owen-Schaub L, Buzaid AC, Grimm EA. Differential increase of Fas ligand expression on metastatic and thin or thick primary melanoma cells compared with interleukin-10. Melanoma Res 1999;9:261–72.[ISI][Medline]

41 Carson WE, Sundaram P, Nadella P, Anghelina M, Dierksheide S, Dierksheide J, et al. A phase I trial of interleukin-12 and interferon-alpha [abstract 2242]. Proc ASCO 2000;19:569a.

Manuscript received November 3, 2003; revised June 28, 2004; accepted July 20, 2004.


This article has been cited by other articles in HighWire Press-hosted journals:


             
Copyright © 2004 Oxford University Press (unless otherwise stated)
Oxford University Press Privacy Policy and Legal Statement