Abstract
Serum erythropoietin level less than 100U/L and a transfusion requirement of less than 2 units per month are the best predictive factors for response to treatment by erythropoiesis-stimulating agents in low/int-1 myelodysplastic syndromes. To investigate the factors influencing the response to erythropoiesis-stimulating agents, we enrolled 127 low/int-1 myelodysplastic syndrome patients at diagnosis in a biological study of erythropoiesis. The 54 non-responders had a significantly lower number of burst-forming unit-erythroid and colony-forming unit-erythroid than responders. Erythropoietin-dependent proliferation and survival, and phospho (p)-ERK1/2 expression in steady state and after erythropoietin stimulation were defective in cultured erythroblasts. By flow cytometry, p-ERK1/2 was significantly lower in bone marrow CD45−/CD71+/GPA−cells from non-responders compared to responders or controls. Receiver Operator Characteristic curve analysis showed that this flow cytometry test was a sensitive biomarker for predicting the response to erythropoiesis-stimulating agents.Introduction
Treatments in low/int-1 risk myelodysplastic syndromes (MDS) aim at improving cytopenias by red blood cell (RBC) transfusions and/or erythropoiesis-stimulating agents (ESA) like epoietin α/β, darbepoietin, alone or in combination with granulocyte colony-stimulating factor (G-CSF).1–3 Recent studies demonstrated that ESA treatments may have a favorable impact on overall survival.4,5 A randomized phase III study comparing best supportive care to ESA did not confirm the favorable impact of ESA treatment on overall survival, but demonstrated that responders had significantly better survival than non-responders.6 Serum erythropoietin (EPO) levels less than 100U/L, and transfusion requirement of less than 2 units of red blood cell (RBC) per month have been associated with the best response rates hardly reaching 39% to 62%.6–9 A decision model has been proposed and validated for anemic MDS patients.10 However, the limited response rate suggests that other factors may influence the response.3 The aim of our study was to identify these factors.
Design and Methods
Patients
One hundred and twenty-seven unselected patients were included in a biological study between June 2004 and December 2009 at Cochin Hospital. Inclusion criteria were a diagnosis of MDS according to the WHO classification, a low or int-1 IPSS, a serum EPO level less than 500U/L, hemoglobin (Hb) level less than 11 g/dL for more than two months or a transfusion requirement for more than one RBC per eight weeks for four months or more. ESA treatment was epoietin α or β at doses of 60,000 UI per week, or darbepoietin α at a dose of 300 μg per week ± G-CSF. Response to treatment was evaluated at week 12 according to the IWG 2006 response criteria.11 Dyserythropoiesis was evaluated as absent, mild or major. A flow chart is shown in the Online Supplementary Figure S1. Control bone marrows (BM) were obtained from 34 volunteers. This study was approved by the local ethics committee and informed consent was obtained from patients and controls.
Cell cultures
Semi-solid cultures in methylcellulose (StemCell Technologies, Vancouver, Canada) containing IL-3, IL-6, EPO, GM-CSF, and SCF were used to quantify erythroid or granulo-monocytic progenitors. In vitro erythroid progenitor expansion was obtained in liquid culture conditions from BM CD34 cells as described.12 Cells were harvested for immunofluorescence or flow cytometry studies.
Immunofluorescence (IF)
Cultured erythroblasts were cytospinned, fixed with 3.7% paraformaldehyde for 15 min at room temperature, and permeabilized with an ice-cold methanol/acetone mixture (1:1) for 10 min. After saturation in 10% horse serum, 1% BSA for one hour in room temperature, cells were incubated with p-Thr202/Tyr204-ERK1/2 rabbit polyclonal antibody (Cell Signaling Technology, Vancouver, Canada) at 1:100 in 1% BSA 0.2% Triton X-100 for one hour at 37°C and with chicken anti-rabbit Alexa Fluor 594-conjugated antibody or goat anti-rabbit Chromeo 642-conjugated antibody (Invitrogen, Carlsbad, CA). Slides were visualized with a Leica DMI 6000 and photographed with a 63X lens.
Immunohistochemistry (IHC)
BM biopsies were collected at diagnosis before ESA treatment, fixed in formalin and included in paraffin. Before labeling, 4μ-thick sections of BM tissue were deparaffined in xylem, dehydrated in 100% ethanol and washed in TRIS-HCl 0.05M, NaCl 0.15 M pH 7.6 before performing antigen retrieval in sodium citrate 0.1 M, citric acid 0.1 M pH6.6 for 20 min at 95°C. Incubation with the p-Thr202/Tyr204-ERK1/2 or ERK1/2 (Cell Signaling), and then with a biotinylated secondary antibody (Dako, Glostrup, Denmark) in TBS containing 0.3% BSA was followed by the addition of horseradish peroxidase coupled to streptavidin. Diaminobenzidine was used as peroxidase substrate. The slides were countercolored with hematoxylin and fixed in ethanol/xylen. Microphotographs were taken using a Leica DXC 950P.
Flow cytometry (FC)
For phospho (p)-ERK1/2 labeling, total BM cells were incubated with CD45-phycoerythrin cyanine (PC)7, CD71-fluorescein isothiocyanate (FITC) and glycophorin A (GPA)-phycoerythrin (PE; Beckman Coulter, Miami, FL) and fixed with 4% paraformaldehyde (Sigma Aldrich, Saint-Louis, MO, USA) for 10 min. Cells were permeabilized using Triton X-100 0.1% PBS for 30 min at 37°C, and for 10 min at 4°C in methanol:PBS (v:v) and then labeled with the monoclonal antibody to p-Thr202/Tyr204 ERK1/2 or isotypic control coupled to Alexa-647 (BD Biosciences, San Jose, CA, USA).13 All analyses were performed using a Cytomics FC500 flow cytometer (Beckman Coulter) equipped with CXP software.
Statistical analysis
Values are expressed as median and interquartile range (IQR) for continuous variables and were compared using the Wilcoxon’s test or as mean and standard deviation (SD) compared using Student’s t-test. Categorical variables are reported as count and percentage and were compared using Fisher’s exact test. Sensitivity and specificity of p-ERK1/2 assay and other parameters were evaluated with the Receiver Operating Characteristic (ROC) curve. The areas under the curve (AUC) were computed and compared across the parameters by the method of Hanley and McNeil.14 The Kaplan-Meier estimator was used to evaluate the probability of failure to ESA treatment over time, according to p-ERK1/2 level. Comparisons between the corresponding estimates were carried out with the log rank test. All statistical analyses were two-sided and P values <0.05 were considered statistically significant. Analyses were performed using the SAS package version 9.01 (SAS Institute, Cary, NC, USA).
Results and Discussion
Response to ESA treatment
This biological study enrolled 127 patients at diagnosis referred as refractory anemia or cytopenia (RA or RC) and 5q-syndrome (n=37), RA with ringed-sideroblasts (RARS, n=26), RC with multilineage dysplasia (RCMD, n=18), RCMD with ringed-sideroblasts (RCMD-RS, n=10) and RA with an excess of blasts below 10% (RAEB-1, n=36), according to the WHO classification. IPSS was low in 67 patients and int-1 in 50 patients. Median Hb level was 9.6 g/dL and median serum EPO level was 50 U/L. Among 115 informative patients, 53 received RBC transfusion (Table 1). All patients received ESA treatment. After 12 weeks, 73 patients met IWG 2006 criteria for erythroid improvement and were referred to as the responder group and 54 were non-responders to ESA. There was no difference between responders and non-responders in terms of age, gender, WHO, Hb level, median percentage of blasts or erythroblasts, dyserythropoiesis, karyotype, IPSS, type of ESA treatment, and additional G-CSF treatment. As expected, the number of patients with serum EPO level 100U/L or over or receiving 2 units or more RBC per month was significantly higher in the non-responders compared to the responders, and the median delay before treatment was equivalent in the two groups (Table 1).
Impaired erythropoiesis in the non-responsive patients
Hematopoiesis was investigated by the quantification of BFU-E and CFU-E erythroid progenitors and CFU-GM granulo-monocytic progenitors in methylcellulose assays. BFU-E and CFU-E were significantly decreased in non-responders as compared to responders and to controls (P<0.001; Figure 1 and data not shown), while CFU-GM were equivalent in the three groups (data not shown). Erythroblasts were amplified in vitro from BM CD34 cells. The mean cumulated number of cultured erythroblasts and the mean number of CD34-deriving BFU-E were approximately 3-fold lower for non-responders than for responders or normal controls (Student’s t-test; P<0.05; Online Supplementary Figure S2A and B). The failure of in vitro BFU-E/CFU-E growth in the presence of EPO is a major characteristic of non-responders to ESA. It has been demonstrated that low circulating BFU-E correlated with the non-response and was a good prognostic marker for the response to treatment.15 In addition, we observed here that erythroid precursor apoptosis was significantly increased in non-responders compared to responders (Online Supplementary Figure S2C; Wilcoxon’s test; P=0.035). Non-responders exhibited a defect of EPO-dependent proliferation and survival. EPO-R mRNA level was normal (data not shown). Neither mutations in the EPOR gene nor abnormal expression of EPO binding sites at the cell surface have been reported so far, supporting the hypothesis of EPO-R signaling abnormality.
Defective p-ERK1/2 expression in the non-responders
The ERK1/2 pathway is required for cell proliferation and, depending on the intensity of activation, may control cell differentiation of primary normal human or avian erythroid cells.16,17 To investigate the EPO-R signaling pathway, we analyzed the activation of ERK1/2 in cultured erythroblasts by indirect IF using anti-p-ERK1/2 antibodies. Cells were harvested in steady-state conditions or after cytokine starvation and subsequent stimulation with 10 UI/mL EPO for 10 min. Both control (n=1) and MDS erythroblasts from responders (n=3) expressed p-ERK1/2 in steady state and after stimulation with EPO. Erythroblasts deriving from non-responders (n=3) lacked p-ERK1/2 labeling whatever the conditions (Figure 2A). By contrast with that observed in AML and high risk MDS,13,18,19 p-ERK1/2 was never detected after cytokine starvation of cultured erythroblasts showing that the ERK1/2 pathway was not constitutively activated in low/int-1 MDS patients whatever their responder or non-responder status to ESA treatment.
We then assessed p-ERK1/2 levels on BM biopsies by IHC. In all 4 responders, we detected a strong cytoplasmic p-ERK1/2 staining in immature cells recognized upon the morphological appearance of their outlying nuclei, which displayed one or two prominent nucleoli. By contrast, p-ERK1/2 was detectable only in a few scattered cells of granulocytic lineage in all the 5 non-responders (Figure 2B).
To analyze p-ERK1/2 expression on fresh BM samples at diagnosis, we developed a four-color FC assay. p-ERK1/2 expression was quantified in the CD45/CD71/GPA population in 55 consecutive patients (30 responders and 25 non-responders) and 10 controls as a ratio of median fluorescence intensity (RFI) between specific to isotypic control antibodies (Figure 2C). The UT-7 cell line was used as control to test the inter-assay variability. Median RFI for p-ERK1/2 was 1.56 [IQR: 1.23–3.32] and 1.36 [IQR: 1.16–1.84] in controls and responders, respectively, and there was no significant difference between the two groups (Wilcoxon’s test; P=0.193). By contrast, there was a significant difference in median RFI between non-responders (1.12 [IQR: 1.02–1.17]) and responders (P<0.001; Figure 2C). Thus, altogether, these results show that ERK activation is greatly decreased in patients non-responsive to ESA treatment compared to responders. These low p-ERK1/2 levels in non-responders may reflect the early defect of progenitor growth capability.
p-ERK1/2 in CD45/CD71/GPA cells, as well as the EPO serum level, the number of transfusions per month and the number of BFU-E, represented significant variables between responders compared to non-responders (Table 1 and Figure 1). To evaluate their power to predict the response to ESA, ROCs were constructed for each parameter and the AUCs were calculated. ROC analysis of the FC test demonstrated a 0.84 area under the curve [95%CI: 0.73–0.94]. For a calculated cut-off value at 1.30, the sensitivity was 92% [95%CI: 74–99] and the specificity was 67% [95%CI: 47–83] indicating that p-ERK1/2 was a good predictive factor for the response to ESA (Figure 2D). The AUCs for the serum EPO level, the number of transfusions per month and the number of BFU-E were 0.72 [95% CI: 0.61–0.83], 0.65 [95% CI: 0.54–0.75] and 0.75 [95% CI: 0.65–0.85], respectively. Comparison of AUCs demonstrated that p-ERK1/2 was equivalent to BFU-E number (P=0.261) and serum EPO level (P=0.134), and was superior to the number of transfusions per month (P=0.011) for predicting the response to ESA. A Kaplan-Meier curve showed that the probability of failure of response to ESA treatment significantly increased in patients with low p-ERK1/2 expression compared to the patients with p-ERK1/2 level over the threshold (Figure 2E; log rank test; P=0.015). Finally, we identified p-ERK1/2 level as a sensitive biomarker predictive of the response to ESA which could be available in all MDS irrespective of the size of BM samples.
FC analysis of phosphoproteins has been used to evaluate the prognosis of acute leukemias.20,21 An FC score based on evidence of aberrant markers on blasts was recently proposed as a predictor of the response to ESA in MDS.22 In the present study, among patients with less than 100U/L serum EPO and receiving less than 2 units RBC per month, those with high p-ERK1/2 level were all responsive to ESA, while only 20% of patients with low p-ERK1/2 level achieved an erythroid improvement. Although this should be confirmed in a larger cohort of patients, our data suggest that the combination of p-ERK1/2 to serum EPO level and transfusion requirement could help predict the response to ESA.
Acknowledgments
the authors are indebted to Prof. Catherine Lacombe, Drs. Valérie Bardet, Martine Guesnu, Olivier Kosmider, Frédérique Verdier, Yaël Zermati for helpful discussion, Rosa Sapena for recording clinical data, and to Maryline Delattre from the Direction Régionale de la Recherche Clinique for study management. The authors thank clinicians of the Groupe Francophone des Myélodysplasies: Drs. C. Delacroix, MC Quarré, D. Vassilieff, J. Tamburini and D. Bouscary from the Unité Fonctionnelle d’Hématologie, Département de Médecine Interne, Hôpital Cochin, Assistance Publique-Hôpitaux de Paris for including patients, and Dr Mosnier Damet from the Institute of Pathology of Clermont-Ferrand.
Footnotes
- FP and MF contributed equally to this manuscript.
- Funding: This work was supported by grants from the Direction Régionale de la Recherche Clinique, AP-HP (PHRC MAD06) (MF), Canceropole Ile-de-France (PAC 2004) (MF), Fondation de France-Comité leucémie (2006008194) (FP) and Association Laurette Fugain (ALF/N°06-07) (FP). EF was the recipient of a grant from the Ministère de la Recherche et de la Technologie. PP was supported by a fellowship from the Fondation pour la Recherche Médicale.
- 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.
- The online version of this article has a Supplementary Appendix.
- Received February 23, 2010.
- Revision received July 18, 2010.
- Accepted July 18, 2010.
References
- Hellström-Lindberg E. Efficacy of erythropoietin in the myelodysplastic syndromes: a meta-analysis of 205 patients from 17 studies. Br J Haematol. 1995; 89(1):67-71. PubMedhttps://doi.org/10.1111/j.1365-2141.1995.tb08909.xGoogle Scholar
- Negrin RS, Stein R, Doherty K, Cornwell J, Vardiman J, Krantz S. Maintenance treatment of the anemia of myelodysplastic syndromes with recombinant human granulocyte colony-stimulating factor and erythropoietin: evidence for in vivo synergy. Blood. 1996; 87(10):4076-81. PubMedGoogle Scholar
- Hellström-Lindberg E, Ahlgren T, Beguin Y, Carlsson M, Carneskog J, Dahl IM. Treatment of anemia in myelodysplastic syndromes with granulocyte colony-stimulating factor plus erythropoietin: results from a randomized phase II study and long-term follow-up of 71 patients. Blood. 1998; 92(1):68-75. PubMedGoogle Scholar
- Park S, Grabar S, Kelaidi C, Beyne-Rauzy O, Picard F, Bardet V, Predictive factors of response and survival in myelodysplastic syndrome treated with erythropoietin and G-CSF: the GFM experience. Blood. 2008; 111(2):574-82. PubMedhttps://doi.org/10.1182/blood-2007-06-096370Google Scholar
- Jädersten M, Malcovati L, Dybedal I, Della Porta MG, Invernizzi R, Montgomery SM. Erythropoietin and granulocytecolony stimulating factor treatment associated with improved survival in myelodysplastic syndrome. J Clin Oncol. 2008; 26(21):3607-13. PubMedhttps://doi.org/10.1200/JCO.2007.15.4906Google Scholar
- Mantovani L, Lentini G, Hentschel B, Wickramanayake PD, Loeffler M, Diehl V. Treatment of anaemia in myelodysplastic syndromes with prolonged administration of recombinant human granulocyte colony-stimulating factor and erythropoietin. Br J Haematol. 2000; 109(2):367-75. PubMedhttps://doi.org/10.1046/j.1365-2141.2000.02016.xGoogle Scholar
- Hellström-Lindberg E, Negrin R, Stein R, Krantz S, Lindberg G, Vardiman J. Erythroid response to treatment with G-CSF plus erythropoietin for the anaemia of patients with myelodysplastic syndromes: proposal for a predictive model. Br J Haematol. 1997; 99(2):344-51. PubMedhttps://doi.org/10.1046/j.1365-2141.1997.4013211.xGoogle Scholar
- Remacha AF, Arrizabalaga B, Villegas A, Manteiga R, Calvo T, Julià A. Erythropoietin plus granulocyte colony-stimulating factor in the treatment of myelodysplastic syndromes. Identification of a subgroup of responders. The Spanish Erythropathology Group. Haematologica. 1999; 84(12):1058-64. PubMedGoogle Scholar
- Casadevall N, Durieux P, Dubois S, Hemery F, Lepage E, Quarré MC. Health, economic, and quality-of-life effects of erythropoietin and granulocyte colony-stimulating factor for the treatment of myelodysplastic syndromes: a randomized, controlled trial. Blood. 2004; 104(2):321-7. PubMedhttps://doi.org/10.1182/blood-2003-07-2252Google Scholar
- Hellström-Lindberg E, Gulbrandsen N, Lindberg G, Ahlgren T, Dahl IM, Dybedal I, A validated decision model for treating the anaemia of myelodysplastic syndromes with erythropoietin + granulocyte colony-stimulating factor: significant effects on quality of life. Br J Haematol. 2003; 120(6):1037-46. PubMedhttps://doi.org/10.1046/j.1365-2141.2003.04153.xGoogle Scholar
- Cheson BD, Greenberg PL, Bennett JM, Löwenberg B, Wijermans PW, Nimer SD. Clinical application and proposal for modification of the International Working Group (IWG) response criteria in myelodysplasia. Blood. 2006; 108(2):419-25. PubMedhttps://doi.org/10.1182/blood-2005-10-4149Google Scholar
- Claessens YE, Bouscary D, Dupont JM, Picard F, Melle J, Gisselbrecht S. In vitro proliferation and differentiation of erythroid progenitors from patients with myelodysplastic syndromes: evidence for Fas-dependent apoptosis. Blood. 2002; 99 (5):1594-601. PubMedhttps://doi.org/10.1182/blood.V99.5.1594Google Scholar
- Bardet V, Tamburini J, Ifrah N, Dreyfus F, Mayeux P, Bouscary D. Single cell analysis of phosphoinositide 3-kinase/Akt and ERK activation in acute myeloid leukemia by flow cytometry. Haematologica. 2006; 91(6):757-64. PubMedGoogle Scholar
- Hanley JA, McNeil BJ. A method of comparing the areas under the Receiver Operating Curves derived from the same samples. Radiology. 1983; 148(3):839-43. PubMedhttps://doi.org/10.1148/radiology.148.3.6878708Google Scholar
- Stasi R, Brunetti M, Bussa S, Conforti M, Di Giulio C, Crescenzi A. Response to recombinant human erythropoietin in patients with myelodysplastic syndromes. Clin Cancer Res. 1997; 3(5):733-9. PubMedGoogle Scholar
- Kolbus A, Pilat S, Husak Z, Deiner EM, Stengl G, Beug H. Raf-1 antagonizes erythroid differentiation by restraining caspase activation. J Exp Med. 2002; 196(10):1347-53. PubMedhttps://doi.org/10.1084/jem.20020562Google Scholar
- Dazy S, Damiola F, Parisey N, Beug H, Gandrillon O. The MEK-1/ERKs signaling pathway is differentially involved in the self-renewal of early and late avian erythroid progenitor cells. Oncogene. 2003; 22(58):9205-16. PubMedhttps://doi.org/10.1038/sj.onc.1207049Google Scholar
- Ricciardi MR, McQueen T, Chism D, Milella M, Estey E, Kaldjian E. Quantitative single cell determination of ERK phosphorylation and regulation in relapsed and refractory primary acute myeloid leukemia. Leukemia. 2005; 19(9):1543-9. PubMedhttps://doi.org/10.1038/sj.leu.2403859Google Scholar
- Lunghi P, Tabilio A, Pinelli S, Valmadre G, Ridolo E, Albertini R. Expression and activation of SHC/MAP kinase pathway in primary acute myeloid leukemia blasts. Hematol J. 2001; 2(2):70-80. PubMedhttps://doi.org/10.1038/sj.thj.6200095Google Scholar
- Tamburini J, Elie C, Bardet V, Chapuis N, Park S, Broët P. Constitutive phosphoinositide 3-kinase/Akt activation represents a favorable prognostic factor in de novo acute myelogenous leukemia patients. Blood. 2007; 110(3):1025-8. PubMedhttps://doi.org/10.1182/blood-2006-12-061283Google Scholar
- Gregorj C, Ricciardi MR, Petrucci MT, Scerpa MC, De Cave F, Fazi P, ERK1/2 phosphorylation is an independent predictor of complete remission in newly diagnosed adult acute lymphoblastic leukemia. Blood. 2007; 109(12):5473-6. PubMedhttps://doi.org/10.1182/blood-2006-05-021071Google Scholar
- Westers TM, Alhan C, Chalumeau MED, van der Vorst MJDL, Eeltink C, Ossenkoppele GJ. Aberrant immunophenotype of blasts in myelodysplasric syndromes is a clinically relevant biomarker in predicting response to growth factor treatment. Blood. 2010; 115(9):1779-84. PubMedhttps://doi.org/10.1182/blood-2009-08-239749Google Scholar