• One hundred and ten genes of the most important cell-signaling pathways involved in the mechanism of action of eltrombopag were studied.

  • Thirteen DNA variants associated with eltrombopag refractoriness in ITP were observed.

Abstract

Thrombopoietin receptor agonists, for example eltrombopag, are standard second-line treatment for immune thrombocytopenia (ITP). Eltrombopag has demonstrated high response rates, both in clinical trials and in routine practice studies. However, some patients with ITP are refractory to this drug. Next-generation sequencing (NGS) may help us identify underlying molecular biology variants that may be involved in eltrombopag refractoriness. Our multicenter national NGS study investigated 110 genes of the most important cell-signaling pathways involved in the mechanism of action of eltrombopag in 35 refractory cases and 35 eltrombopag-responsive controls. Our refractory population comprised 51.4% men with a median age at diagnosis of 48 (range, 38-69) years and a median platelet count of 7 × 109/μL (range, 4 × 109/μL to 16 × 109/μL). At eltrombopag initiation, 78.3% had chronic ITP with a median platelet count of 8 × 109/μL (range, 5× 109/μL to 30 × 109/μL). Treatment with eltrombopag was maintained for a median of 3 (range, 1-9) months before discontinuation. No major grade 3-4 side effects were observed. Several statistical differences were observed in relation to the control responders. Of the total sum of the NGS variants found, 13 variants with statistical significance (P ≤ .05) between case and controls were observed. Two of these have been shown to be associated with cancer. Seven variants are considered benign. Four variants are not previously described, and their significance is unknown. To our knowledge, none of the 13 variants described here has ever been correlated with ITP or eltrombopag refractoriness. Further studies are required to establish their role in this setting.

Primary immune thrombocytopenia (ITP) is an acquired autoimmune hemorrhagic disease caused by antibodies directed against platelets. The disease is characterized by accelerated destruction of platelets in the reticuloendothelial system and inhibition of proliferation and maturation of bone marrow megakaryocytes, resulting in impaired platelet production.1 Despite advances in pathology, the diagnosis of ITP remains a diagnosis of exclusion.

The incidence of ITP in adults has been estimated to be between 1.6 and 3.95 per 100 000 persons per year, depending on the diagnostic cutoff point chosen, which can range from <150 × 109/L to <50 × 109/L.2,3 The signs and symptoms of ITP and its clinical course may present great individual variability.4 The severity of bleeding does not clearly correlate with the established bleeding risk for the patient.2,5 

The therapeutic goal in ITP is to control and prevent bleeding, and to maintain a safe platelet count.6,7 Corticosteroids remain the first line of treatment. Thrombopoietin receptor agonists (TPO-RAs), that is, romiplostim, avatrombopag, and eltrombopag, are currently used to treat patients with ITP at risk of bleeding or who have failed at least 1 line of ITP therapy.7 Eltrombopag is an oral nonpeptide TPO analog that activates the TPO receptor and thus stimulates normal human megakaryopoiesis.8,9 Several clinical trials have shown that eltrombopag is effective and safe in adult patients with chronic ITP with a very high duration of response to long-term treatment (up to 3 years).10-12 

Molecular studies in ITP were anecdotal until a few years ago because of the absence of precise diagnostic techniques for the study of the etiopathogenesis of ITP. One of the current objectives in ITP research is to try to discover genetic markers that help in the diagnosis of the disease and/or predictors of drug response. A pioneering study in this field, published in 2013, demonstrated the potential usefulness of genetic studies in ITP. Basciano et al reported the finding of a single-nucleotide polymorphism found in the β-tubulin gene that was shown to be related to refractoriness to various treatments in ITP.13 Since then, new and cheaper molecular biology tools have been developed. Currently, next-generation sequencing (NGS) techniques allow us to implement this technology, as seen in other hematologic diseases, for the investigation of the molecular pathophysiology of ITP.14 

The utility of NGS in hematology is a topical issue at the present time. However, the use of genetics in ITP is still emerging.15-18 At the 2015 American Society of Hematology meeting, Despotovic et al presented data on several genes related to the development and degrees of severity of chronic ITP observed in the pediatric population.19 

However, there are few studies examining the molecular characteristics of adult patients with ITP at diagnosis that can differentiate ITP from other related diseases such as myelodysplastic syndromes (MDS) or thrombopathies.20 In addition, we know little about possible single-nucleotide polymorphisms and/or mutations involved in refractoriness to TPO-RAs.21 

Some years ago, the Spanish REVOES registry was developed to obtain efficacy and safety data of eltrombopag in real-world clinical practice conditions.22-28 The REVOGEN study combined NGS technology with our data from the REVOES study. Here, we analyzed >100 genes in 35 patients with ITP that were refractory to eltrombopag and compared these with 35 ITP controls that responded to eltrombopag. These genes involve eltrombopag downstream signaling, cytokine signaling and cytotoxic pathways, growth factors, adhesion molecules, apoptosis, and physiological mechanisms of platelet production. This study aimed to report DNA variants that may be involved in the refractoriness to treatment with eltrombopag in our Spanish patients with ITP.

Patients and database study design

In this study, 70 adult primary patients with ITP (aged ≥18 years) from 17 Spanish centers who had been treated with eltrombopag for ITP and previously included in our Spanish REVOES registry, were recruited. Thirty-five patients with ITP who were refractory to eltrombopag were selected, and, in contrast, another 35 patients with ITP who responded satisfactorily to eltrombopag were considered controls. Data from these patients who received eltrombopag were analyzed in a retrospective, observational, and noninterventional manner.

Each center collected clinical and biological data from all patients with primary ITP who met the inclusion and exclusion criteria, by conducting a review of the patient’s medical history. Researchers reviewed the main characteristics of each patient in the study by means of a predetermined case report form. Patient and disease characteristics were recorded.

Eltrombopag was administered at doses approved by the European Medicines Agency. Primary ITP was defined as a platelet count of <100 × 109/L in the absence of other causes or disorders that might be associated with thrombocytopenia.29 The stages of primary ITP (newly diagnosed, persistent, and chronic ITP) were also defined according to International Consensus Definitions.29 

Before their inclusion in the study, frequent causes of refractoriness to eltrombopag were ruled out, such as poor compliance with the dietary restrictions associated with its use (taking the drug at least 2 hours before, or 4 hours after, any of the following products: antacids, dairy products [or other foods containing calcium], or mineral supplements containing polyvalent cations [eg, iron, calcium, magnesium, aluminum, selenium, and zinc]).

End points

Eltrombopag efficacy was evaluated based on platelet response, bleeding resolution, and the percentage of patients able to reduce or discontinue their doses of concurrent ITP treatment. Response (R) to eltrombopag was defined as a platelet count >50 × 109/L. Treatment failure (refractoriness to eltrombopag) was defined as no response to eltrombopag after at least 6 weeks of treatment with eltrombopag (4 weeks of the maximum approved dose of 75 mg per day and 2 additional weeks with 50 mg per day of eltrombopag without response).30 Adverse events from eltrombopag were evaluated and classified according to the National Cancer Institute Common Terminology Criteria for Adverse Events, version 4.0.

Ethical aspects

The study was performed in accordance with the guidelines of the institutional review boards of the participating centers and the standards of the Declaration of Helsinki. It was approved by the Hospital Universitario de Burgos Ethics Committee (protocol code: REVOGEN) as a postauthorization observational study by the Spanish Medicines and Health Products Agency.

Statistical analysis

Descriptive statistical analysis was carried out using Excel (Microsoft Corp, Redmond, WA). Nonnormally distributed continuous variables were summarized as the median and interquartile range (IQR). Discrete variables were summarized as percentages. Quantitative and qualitative data were compared using the Mann-Whitney U and χ2 tests, respectively. Statistical significance was concluded for P values of <.05. All statistical analyses were performed using SPSS version 19.0 for Windows (SPSS, Chicago, IL).

NGF cytometry methods

Simultaneous to the enrollment of the 70 patients in the study, biological samples were collected from these patients at the National DNA Bank in Salamanca, Spain, for DNA extraction and subsequent NGS studies at the molecular biology laboratories of the Doce de Octubre University Hospital in Madrid. The investigators also sent EDTA-anticoagulated peripheral blood (PB) samples (7-10 mL) for next-generation flow (NGF) cytometry studies. These studies allowed MDS to be excluded before performing NGS studies.

At the Flow Cytometry Service (NUCLEUS) of the University of Salamanca, the immunophenotypic characterization of PB platelets was carried out immediately after obtaining the samples using a panel of monoclonal antibodies (Table 1). The immunophenotypic profiles of PB platelets from patients with ITP were compared with the immunophenotypic profiles of PB platelets from previously known patients with MDS, and from healthy donors.

Table 1.

Panel of monoclonal antibodies for the characterization of PB platelets by NGF cytometry techniques

Panel of monoclonal antibodies for the characterization of PB platelets
PacBFITCPEPercPCy5.5APC
Tube 1 CD9 CD42a CD31 CD61 
Tube 2 CD9 CD36 CD41 CD42b 
Tube 3 CD9 CD34 CD47 CD84 
Panel of monoclonal antibodies for the characterization of PB platelets
PacBFITCPEPercPCy5.5APC
Tube 1 CD9 CD42a CD31 CD61 
Tube 2 CD9 CD36 CD41 CD42b 
Tube 3 CD9 CD34 CD47 CD84 

APC, allophycocyanin; FITC, fluorescein Isothiocyanate; PacB, phycocyanin allophycocyanin B; PE, phycoerythrin; PercPCy5.5, peridinin-chlorophyll protein-cyanine 5.5.

Molecular biology studies: NGS techniques

Refractory and responder patients to eltrombopag and their biological samples were verified at the National DNA Bank in Salamanca. After exclusion of MDS by NGF at the Flow Cytometry Service (NUCLEUS) of the University of Salamanca, the DNA samples were sent to the 12 de Octubre University Hospital in Madrid for NGS studies.

Preparation of libraries

For the generation of libraries for each sample, 75 ng of DNA from PB leukocytes extracted with automatic methods based on magnetic bead technology was used. A customized panel of amplicons was designed including 1979 amplicons distributed in 110 genes, with a total size of 376.1 kb covering 99.9% of the coding regions and splicing sites of all genes included. The complete list of analyzed genes and their mechanisms of action is described in Table 2.

Table 2.

Complete list of analyzed genes and their mechanisms of action

Mechanism of actionImplicated gene(s)
JAK/STAT signaling TPO, JAK1/2/3, TYK2, PI3K, KRAS, NRAS, RAF1, STAT1/3/5, SOCS1, LNK, PRMT5, MEP50, SHC, GRB2, SOS1, MAPK1/3 
Treg, TGF-β signaling IFNA17, SMAD2 
IL-17 induction DGCR14 
Th17/Treg balance CD83 
Class II cytokine receptor IFNLR1 
T- and B-cell function, inflammation REL 
Fcγ receptors FCGR2A, FCGR2B, FCGR2C, FCGR3A, FCGR3B 
Treg, cytokine related immune responses CXCL5, CCL5, EGFR, CD40L, CNR2 
T-cell immune regulation CTLA4, CD28, ICOS, PD1, BTLA, TIGIT, CD80, CD86 
Actin regulators VAV1, CFL1, RLTPR, RCSD1 
Apoptosis TNFA, PRKACA, PRKACB, PRKACG, LTA, IFNG, DNMT3B, TBX21 
B-cell receptor TNFRSF13B, SOX13, PTPN22 
Transcriptional factors MPL, RUNX1, TAL1, MLL, GFI1, TEL, BMI1, GATA1, GATA2, LMO2, NFE2, FOG1, NFKB1, NFKB2, FOS, JUN, SMAD7, TNFAIP3, VEGFR, FLI1, SDF1 
Early acting hematopoietic growth factors SCF, IL1A, IL2, IL3, IL4, IL6, IL10, IL11, IL17A, IL17B, IL17C, IL18, IL21, IL22, MTOR, PRKAA2 
Cytoskeleton and structural proteins ACTN1, TUBB1, WAS, MYH9, FLNA, ANKRD26, ABCA1, FERMT3, MASTL, PRKACG, ABCG5 
Complement system C1QBP, CPB2 
Mechanism of actionImplicated gene(s)
JAK/STAT signaling TPO, JAK1/2/3, TYK2, PI3K, KRAS, NRAS, RAF1, STAT1/3/5, SOCS1, LNK, PRMT5, MEP50, SHC, GRB2, SOS1, MAPK1/3 
Treg, TGF-β signaling IFNA17, SMAD2 
IL-17 induction DGCR14 
Th17/Treg balance CD83 
Class II cytokine receptor IFNLR1 
T- and B-cell function, inflammation REL 
Fcγ receptors FCGR2A, FCGR2B, FCGR2C, FCGR3A, FCGR3B 
Treg, cytokine related immune responses CXCL5, CCL5, EGFR, CD40L, CNR2 
T-cell immune regulation CTLA4, CD28, ICOS, PD1, BTLA, TIGIT, CD80, CD86 
Actin regulators VAV1, CFL1, RLTPR, RCSD1 
Apoptosis TNFA, PRKACA, PRKACB, PRKACG, LTA, IFNG, DNMT3B, TBX21 
B-cell receptor TNFRSF13B, SOX13, PTPN22 
Transcriptional factors MPL, RUNX1, TAL1, MLL, GFI1, TEL, BMI1, GATA1, GATA2, LMO2, NFE2, FOG1, NFKB1, NFKB2, FOS, JUN, SMAD7, TNFAIP3, VEGFR, FLI1, SDF1 
Early acting hematopoietic growth factors SCF, IL1A, IL2, IL3, IL4, IL6, IL10, IL11, IL17A, IL17B, IL17C, IL18, IL21, IL22, MTOR, PRKAA2 
Cytoskeleton and structural proteins ACTN1, TUBB1, WAS, MYH9, FLNA, ANKRD26, ABCA1, FERMT3, MASTL, PRKACG, ABCG5 
Complement system C1QBP, CPB2 

GFI1, growth factor independence 1; IL-17, interleukin-17; JAK/STAT, Janus kinase signal transducer and activator of transcription; TGF-β, transforming growth factor β; Treg, regulatory T cells.

Analysis procedures

The search for variants was performed by aligning the data of each sequence with the reference sequence “human genome build 38” using the software Torrent Suite and Ion Reporter (Thermo Fisher, Waltham, MA). For variant analysis, proprietary scripts aligning to the human genome version “human genome build 38” were used. The coverage of the regions included in the panel is 99.39% and the average depth of coverage is 1168×. A minimum of 100 reads at ≥85% of the detected bases is set as a minimum coverage criterion and a Phred score of ≥20 as quality criterion. All the data can be observed in the file "Stats_Cases_Controls.xlsx.”

From the total sum of variants found, all artifacts were first eliminated. All variants with a bias of variant reads between the positive and negative strand of >0.7 and <0.3 were considered artifacts. Only those mutations that showed statistically significant differences with respect to the normal allele were considered in the clinical report. The clinical value of variants meeting these requirements was confirmed in the ClinVar, Cosmic, OMIM, Varsome, and Franklin databases. If necessary, confirmation of the results obtained by NGS was performed using Sanger sequencing.

Patient characteristics

The main demographic and hematologic features of the 70 patients (35 refractory and 35 responders) who received eltrombopag, are presented in Table 3.

Table 3.

Patient characteristics

VariableRefractory to eltrombopag (n = 35)Responders to eltrombopag (n = 35)Statistical significance (P)
No. of DNA variants present in the patient, median [Q1-Q34 [3-5] 2 [1-2] <.001 
Age at diagnosis, y, median [Q1-Q348 [38-69] 55 [43-67] .447 
Age at diagnosis ≥ 65 y, n (%) 11 (31.4) 10 (28.6) .794 
Male/female, n 18/17 11/24 .089 
CCI > 1, n (%) 2 (5.7) 5 (14.3) .232 
Months with ITP, median [Q1-Q314 [8-114] 12 [5-55] .039 
Platelet count at diagnosis (×109/L), median [Q1-Q37 [4-16] 16 [6-30] .202 
Asymptomatic at diagnosis, n (%) 19 (59.4) 26 (74.3) .194 
Bleeding at diagnosis, n (%) 24 (75.0) 21 (60.0) .192 
Type of primary ITP, n (%) 35 (100) 35 (100)  
Newly diagnosed 5 (14.3) 8 (22.9) .356 
Persistent 6 (17.1) 8 (22.9) .550 
Chronic 24 (68.6) 19 (54.3) .220 
Eltrombopag treatment duration (mo), median [Q1;Q33 [1;9] 44 [27;75] < .001 
Past ITP treatments, median [Q1-Q32 [2-4] 1 [1-3] .005 
Romiplostim, n (%) 14 (40.0) 4 (11.4) .006 
IV immunoglobulins, n (%) 16 (45.7) 8 (22.9) .044 
Rituximab, n (%) 12 (34.3) 2 (5.7) .003 
Splenectomy, n (%) 14 (40.0) 2 (5.7) .001 
Vincristine, n (%) 1 (2.9) 2 (5.7) .555 
Three or more previous treatment lines, n (%) 17 (48.6) 9 (25.7) .048 
Platelet count at eltrombopag treatment initiation (×109/L), median [Q1-Q38 [5-30] 25 [10-43] .005 
Bleeding at eltrombopag treatment initiation, n (%) 19 (54.3) 7 (20.0) .003 
Platelet count at last visit under eltrombopag treatment (×109/L), median [Q1-Q3] 15 [8-26] 125 [105-174] <.001 
Platelet count at last visit follow-up under any ITP drug (×109/L), median [Q1-Q3] 65 [22-115] 126 [110-182] .003 
Platelet count at last visit follow-up (×109/L), median [Q1-Q3] 62 [29-167] 126 [107-179] .029 
Concomitant treatment, n (%) 19 (54.3) 7 (20.0) .003 
Adverse events under eltrombopag, n (%) 2 (5.7) 4 (11.4) .393 
Any treatment(s) after eltrombopag discontinuation, n (%) 33 (94.3) 4 (11.4) <.001 
No. of treatments after eltrombopag discontinuation, median [Q1-Q31 [1-3] 0 [0-0] <.001 
VariableRefractory to eltrombopag (n = 35)Responders to eltrombopag (n = 35)Statistical significance (P)
No. of DNA variants present in the patient, median [Q1-Q34 [3-5] 2 [1-2] <.001 
Age at diagnosis, y, median [Q1-Q348 [38-69] 55 [43-67] .447 
Age at diagnosis ≥ 65 y, n (%) 11 (31.4) 10 (28.6) .794 
Male/female, n 18/17 11/24 .089 
CCI > 1, n (%) 2 (5.7) 5 (14.3) .232 
Months with ITP, median [Q1-Q314 [8-114] 12 [5-55] .039 
Platelet count at diagnosis (×109/L), median [Q1-Q37 [4-16] 16 [6-30] .202 
Asymptomatic at diagnosis, n (%) 19 (59.4) 26 (74.3) .194 
Bleeding at diagnosis, n (%) 24 (75.0) 21 (60.0) .192 
Type of primary ITP, n (%) 35 (100) 35 (100)  
Newly diagnosed 5 (14.3) 8 (22.9) .356 
Persistent 6 (17.1) 8 (22.9) .550 
Chronic 24 (68.6) 19 (54.3) .220 
Eltrombopag treatment duration (mo), median [Q1;Q33 [1;9] 44 [27;75] < .001 
Past ITP treatments, median [Q1-Q32 [2-4] 1 [1-3] .005 
Romiplostim, n (%) 14 (40.0) 4 (11.4) .006 
IV immunoglobulins, n (%) 16 (45.7) 8 (22.9) .044 
Rituximab, n (%) 12 (34.3) 2 (5.7) .003 
Splenectomy, n (%) 14 (40.0) 2 (5.7) .001 
Vincristine, n (%) 1 (2.9) 2 (5.7) .555 
Three or more previous treatment lines, n (%) 17 (48.6) 9 (25.7) .048 
Platelet count at eltrombopag treatment initiation (×109/L), median [Q1-Q38 [5-30] 25 [10-43] .005 
Bleeding at eltrombopag treatment initiation, n (%) 19 (54.3) 7 (20.0) .003 
Platelet count at last visit under eltrombopag treatment (×109/L), median [Q1-Q3] 15 [8-26] 125 [105-174] <.001 
Platelet count at last visit follow-up under any ITP drug (×109/L), median [Q1-Q3] 65 [22-115] 126 [110-182] .003 
Platelet count at last visit follow-up (×109/L), median [Q1-Q3] 62 [29-167] 126 [107-179] .029 
Concomitant treatment, n (%) 19 (54.3) 7 (20.0) .003 
Adverse events under eltrombopag, n (%) 2 (5.7) 4 (11.4) .393 
Any treatment(s) after eltrombopag discontinuation, n (%) 33 (94.3) 4 (11.4) <.001 
No. of treatments after eltrombopag discontinuation, median [Q1-Q31 [1-3] 0 [0-0] <.001 

The median age of the eltrombopag-refractory population (cases) was 48 (IQR, 38-69) years. This cohort comprised 18 males and 17 females. The cohort that successfully responded to eltrombopag (controls) was an older population with a median age of 55 (IQR, 43-67) years and most were female (24, 68.6%). Interestingly, the percentage of the population aged ≥65 years was similar in both cohorts (31.4% vs 28.6%, respectively).

At the time of diagnosis, only 2 cases (5.7%) and 5 controls (14.3%) had a Charlson Comorbidity Index (CCI) score of ≥1; their platelet counts were 7 × 109/L (IQR, 4-16 × 109/L) and 16 × 109/L (IQR, 6-30 × 109/L), respectively; 19 cases and 26 controls were asymptomatic; and 24 refractory vs 21 responders experienced hemorrhages. Twenty-four of the nonresponders and 19 of our controls were patients with chronic ITP.

At eltrombopag initiation, statistically significant differences were observed when the platelet count or bleeding were compared in the refractory and responder cohorts with, 8 × 109/L (IQR, 5-30 × 109/L) and 54.3% of hemorrhages in the former cohort vs 25 × 109/L (IQR, 10-43 × 109/L) and 20.0% of bleeding in the latter group.

When large statistical differences were seen it was with respect to the duration of eltrombopag treatment; in patients in whom eltrombopag was not effective, this treatment was shorter. Thus, the cases refractory to eltrombopag showed a treatment duration of 3 months (IQR, 1-9) as a median vs 44 months (IQR, 27-75) in responder controls (P < .001). Similarly, the number of prior treatments before starting eltrombopag was much higher in refractory nonresponders especially if we consider the fact of having received multiple (≥3) previous treatment lines (P = .048) or different classical ITP treatments, for example previous use of romiplostim (P = .006), IV immunoglobulins (P = .044), rituximab (P = .003), or splenectomy (P = .001). A 24-month follow-up of these patients with ITP was performed, also showing differences between both the refractory and responder cohorts (P = .029).

Among patients refractory to eltrombopag, 12 had been previously treated with romiplostim. Only 3 (25%) had responded to romiplostim, with a median response time of 2 months (IQR, 2-3). In contrast, only 5 patients who responded to eltrombopag had previously been treated with romiplostim. Of 5 patients, 2 (40%) had responded to romiplostim, with a median treatment response of 5 months (IQR, 3-6).

Only 2 mild adverse events were observed in our refractory population, with 4 seen in the responder cohort. Thus, 2 refractory patients developed hepatotoxicity with transaminase levels 3- and 5-times the upper limit of normal with eltrombopag doses of 75 mg per day, respectively. When eltrombopag was discontinued, liver function normalized. Among the responders, 3 patients (with a prior history of migraine) developed episodes of mild headache that responded to their regular antimigraine therapy. A fourth patient developed dry mouth for the first 2 weeks of treatment and needed only to drink a little more than usual during that time.

NGS findings

We performed the NGS analysis of PB DNA samples from 35 eltrombopag-refractory cases and 35 eltrombopag-responding controls. We started working with a file that listed the 53 variants found in at least a difference of 4 between cases and controls and, in addition, the allele frequency of the variant is at least 20%. Finally, 13 DNA variants were found with statistically significant differences between refractory and responder populations (P < .001). Of 110 genes analyzed, we only found statistically significant differences between patients refractory to eltrombopag and responders in 12 genes. Those genes were as follows: MAPK1, RAF1, GFI1, FCGR2A, ETV6, STAT5A, MAPK3, ABCA1, ACD, THPO, ACTN1, and SHC1 genes. Interestingly, our DNA variant 8 is an intronic variant in the MAPK3 gene that we have observed in 7 refractory cases but in no responder controls. The number of DNA variants present in the refractory and control cohorts showed statistically significant differences between them. Thus, in our refractory cohort we observed 4 DNA variants in each patient as a median (IQR, 3-5), with only 2 (IQR, 1-2) in our responder controls.

Confirmation of the results obtained by NGS was performed using Sanger sequencing in only 3 patients who had 3 new variants with an allele frequency of >15% that were detected in any of the genes in the panel and were not previously described in the usual databases. These DNA variants were NM_014160.5 chr3:12585017, NM_005263.5:c.951T>G,(p.Lys317Asn), and NM_024307.3 chr16:30116567.

The final list of DNA variants observed is summarized in Table 4. What follows is the description of the 13 different DNA variants observed. The synonymous variant 1 in the MAPK1 gene has an odds ratio (OR) of 20.091 (P < .001). This OR indicates that there is a 20.091-times greater risk of being a refractory to eltrombopag if this variant is present. The intronic polymorphism 2 in the RAF1 gene presents an OR of 2.909 (P = .030). The variant 3 involves the GFI1 gene with an OR of 5.565 (P = .009). The variants 4 and 5 are both found in the FCGR2A gene. Both variants are found in the same number of cases and controls. So, their OR is 4.580 (P = .012) for both. With regard to the variant 6, we observe an OR of 3.130 (P = .048). The variant 7 is a synonymous variant in the STAT5A gene that has an OR of 3.000 (P = .039). The variant 8 is an intronic variant in the MAPK3 gene. It is found in 7 of 35 cases and it is absent in the whole control population. Here, the OR could not be calculated because there are no controls presenting the DNA variant 8 although statistically significant differences were observed (P = .005). Variant 9 is a synonymous variant in the ABCA1 gene that has an OR of 3.222 (P = .034). Variant 10 is a synonymous variant of the ACD gene, with an OR of 4.267 (P = .031). The variant 11 is found in the gene that encodes for TPO; its OR is 4.889 (P = .040). Variant 12 is a missense variant in the ACTN1 gene that encodes for actin, with an OR of 7.034 (P = .046). We found this in 5 heterozygous cases and 1 heterozygous control. Finally, variant 13 was found in the SHC1 gene; its OR is 7.034 (P = .046). A full description of the 13 statistically significant DNA variants observed and their correlation with the most important epidemiological variables are shown in supplemental Tables 1-12 (supplemental Material).

Table 4.

Summary of the DNA variants and their percentages observed in refractory cases and responsive controls

Variant no.GeneProteinGMAFLocus no. (hg38)CodingTranscriptIncidence in the general population, %Refractory cases, %Responsive controls, %P value
MAPK1 P.L116L 0.001 chr22:21805996 c.346T>C NM_002745.5 0.001 37 <.001 
RAF1 0.365 chr3:12585017 NM_014160.5 69 43 .030 
GFI1 p.C317W 0.000 chr1:92478727 c.951T>G NM_005263.5 34 .009 
FCGR2A p.P215P 0.055 chr1:161510859 c.645A>G NM_001136219.3 10 37 11 .012 
FCGR2A p.Q63∗ 0.056 chr1:161506414 c.187C>T NM_001136219.3 12-15 37 11 .012 
ETV6 p.T86T 0.213 chr12:11839234 c.258G>A NM_001987.5 15-22 34 14 .048 
STAT5A p.D634D 0.241 chr17:42307719 c.1902C>T NM_001288718.2 19-24 43 20 .039 
MAPK3 0.008 chr16:30116567 NM_024307.3 3.5 20 .005 
ABCA1 p.I680I 0.339 chr9:104828991 c.2040C>A NM_005502.4 20-34 40 17 .034 
10 ACD p.P457P 0.019 chr16:67657612 c.1371G>T NM_001082486.2 3.5 29 .031 
11 THPO 0.062 chr3:184372454 c.∗59G>A NM_000460.4 23 .040 
12 ACTN1 p.T890S 0.006 chr14:68874936 c.2668A>T NM_001130004.2 17 .046 
13 SHC1 p.M410V 0.061 chr1:154966186 c.1228A>G NM_001130040.2 17 .046 
Variant no.GeneProteinGMAFLocus no. (hg38)CodingTranscriptIncidence in the general population, %Refractory cases, %Responsive controls, %P value
MAPK1 P.L116L 0.001 chr22:21805996 c.346T>C NM_002745.5 0.001 37 <.001 
RAF1 0.365 chr3:12585017 NM_014160.5 69 43 .030 
GFI1 p.C317W 0.000 chr1:92478727 c.951T>G NM_005263.5 34 .009 
FCGR2A p.P215P 0.055 chr1:161510859 c.645A>G NM_001136219.3 10 37 11 .012 
FCGR2A p.Q63∗ 0.056 chr1:161506414 c.187C>T NM_001136219.3 12-15 37 11 .012 
ETV6 p.T86T 0.213 chr12:11839234 c.258G>A NM_001987.5 15-22 34 14 .048 
STAT5A p.D634D 0.241 chr17:42307719 c.1902C>T NM_001288718.2 19-24 43 20 .039 
MAPK3 0.008 chr16:30116567 NM_024307.3 3.5 20 .005 
ABCA1 p.I680I 0.339 chr9:104828991 c.2040C>A NM_005502.4 20-34 40 17 .034 
10 ACD p.P457P 0.019 chr16:67657612 c.1371G>T NM_001082486.2 3.5 29 .031 
11 THPO 0.062 chr3:184372454 c.∗59G>A NM_000460.4 23 .040 
12 ACTN1 p.T890S 0.006 chr14:68874936 c.2668A>T NM_001130004.2 17 .046 
13 SHC1 p.M410V 0.061 chr1:154966186 c.1228A>G NM_001130040.2 17 .046 

GMAF, global minor allele frequency; hg38, human genome build 38.

Eltrombopag is a TPO-RA drug that has demonstrated very high response rates (>80%) in clinical trials and/or real life clinical practice studies.10-12,24-28 Although refractoriness to eltrombopag is not common, this topic is of great interest because patients who fail to respond to this drug often did not, or will not, respond to other drugs, and these patients will very often present an unfavorable clinical course.31-33 The fact that ITP continues to be a disease with a diagnosis of exclusion and in which no reliable predictors of response have been found so far, makes a study such as ours of great interest when approaching the treatment of refractory ITP.

Our series of refractory patients, although younger and with fewer comorbidities than the cohort of responders (48 years with only 2 patients with a CCI score of ≥1 vs 55 years and 5 patients with CCI score of ≥1), had lower platelet counts, higher number of hemorrhages, elevated symptoms associated with ITP, and many of them received concomitant ITP treatments at the time of initiation of treatment with eltrombopag. This worse clinical situation of our refractory patients may be attributed to the fact that many of them had demonstrated previous refractoriness to several other treatments for ITP.

Furthermore, most of the refractory patients started eltrombopag in case of chronic ITP in which the underlying immunological disorder associated with the disease is higher, or after having received multiple ITP treatment lines. On the contrary, many patients in response to eltrombopag started this drug just after corticosteroid failure and/or intolerance. We believe that our objective of selecting a population as refractory as possible to eltrombopag, with/without other drugs, has been achieved.

It is also interesting that, at the time of ITP diagnosis, our refractory population had lower platelet counts, greater asthenia, and more frequent and severe bleeding than patients who respond to eltrombopag months or even years later, which suggests a possible predisposition (genetic or not) to develop refractory ITP. In this sense, recent publications advocating a certain genetic predisposition to develop ITP are of great interest.34-36 Moreover, Zhang et al37 published their transcriptome study with 19 patients evaluating the impact of eltrombopag on gene expression. Surprisingly, although platelet counts increased steadily, only 5 genes remained overexpressed at the 1-month time point in responders.

To our knowledge, this is the first and probably the only study to attempt to correlate the presence of several genetic DNA variants and the occurrence of ITP, refractory to second-line treatment of this disease. Although some studies have reported a genetic basis for refractoriness to corticosteroid treatment for ITP, this is, to our knowledge, the only study in which NGS tools and a large panel of genes have been used to try to elucidate the genetic basis for the refractoriness to ITP treatment.38,39 

Our genomic study used NGS techniques to evaluate variants that could potentially explain the refractoriness to eltrombopag treatment in ITP. After discarding artifacts, we were able to obtain 13 DNA variants (with 12 genes involved) with statistically significant differences between refractory and responder populations (P ≤ .05).

Here, we proceed to describe their frequency and eventual pathogenic role. The synonymous variant 1 in the MAPK1 gene is classified as benign in predictors of pathogenicity. The gene belongs to the mitogen-activated protein (MAP) kinase pathway. The intronic variant 2 in the RAF1 gene is associated with gastrointestinal cancer.40 Variant 3 in the GFI1 gene is not described in the main cancer or population databases. This variant has been classified as likely pathogenic. Its GFI-1 protein causes a blockage of hematopoiesis, and its inactivation could cause an uncontrolled hematopoiesis. Variants 4 and 5 are both found in the FCGR2A gene. The first (p.P215P) is an undescribed synonymous variant, classified as benign, and the p.Q63∗ variant is a benign mutation that produces a truncation of the protein at amino acid 63. In most cases, this mutation presents in heterozygosity with which it is haplosufficient, thus the protein is functional with a single, healthy allele.41 Variant 6 is a synonymous variant in the ETV6 gene and the ETV6 protein is a transcription factor that is a member of the E-twenty-six family. This protein interacts with FLI1, regulating the differentiation of megakaryocytes toward platelets. There are no publications that point to this variant. Variant 7 is a synonymous variant in the STAT5A gene that is classified as benign but has already been described in lung cancer in exome sequencing studies in a 100-patient Chinese population.42 The STAT5A protein is a transcription factor that acts as a dimer and has an antiapoptotic function. Variant 8 is an intronic polymorphism in the MAPK3 gene not previously described. It is found in 7 of 35 cases in our cohort and it is absent in the control population. Variant 9 is a synonymous variant in the ABCA1 gene that has been described in 2 publications of massive whole-genome sequencing studies, and it is classified as benign.43,44 This gene encodes for an ABC transporter protein (adenosine triphosphate dependent) and it is involved in cholesterol homeostasis, allowing the synthesis of high-density lipoprotein fraction of cholesterol and membrane phospholipids. Variant 10 has not been previously described synonymous variant of the ACD gene. This gene encodes for a protein involved in telomeric function, being 1 of the central proteins of the telosomal complex, maintaining telomere length, and it is classified as benign. Variant 11 is found in the gene that encodes for TPO. It is found in the noncoding region after the stop codon. It is classified as benign and has been described twice previously.45,46 Variant 12 is a previously undescribed missense variant in the ACTN1 gene that encodes the protein α-actinin-1, a protein responsible for the structure of the cell cytoskeleton. Finally, variant 13 can be found in the SHC1 gene that encodes for the SHC-transforming protein important in the regulation of apoptosis and drug resistance in mammalian cells. It has previously been described as benign.47-49 

The role of genetics in refractory ITP remains poorly understood. Both germ line (inherited) and somatic (acquired) mutations in pathways regulating the immune response can be associated with this condition. STAT1/3 and FoxP3 mutations may cause an associated ITP regulatory T-cell impairment.33 Interestingly, in our NGS studies, we have observed 1 STAT5A gene mutation not previously described in ITP. This is, to our knowledge, the first time that a mutation in the Janus kinase signal transducer and activator of transcription pathway has been postulated as a cause of TPO-RA refractoriness. Fc receptor polymorphisms are also known to play a role in ITP. Here, we observed 2 variants in the FCGR2A gene that were not previously described in ITP.

To our knowledge, none of the 13 statistically significant variants reported here have ever been correlated with eltrombopag refractoriness although some of them have been previously associated with different cancers. Thus, RAF1 and STAT5A variants are described in gastric and lung cancer, respectively. In contrast, MAPK1, ETV6, ABCA1, THPO, SHC1 and both FCGFR2A variants are considered benign. Here, we describe 4 previously unpublished DNA variants (GFI1, MAPK3, ∗ACD, and ACTN1 variants) in which their significance is unknown and 9 others not previously described in ITP, whose role in megakaryopoiesis and ITP drug refractoriness needs to be clarified.

Limitations of our epidemiological data are the retrospective multicenter analytical approach to the patients and the possibility of significant selection bias. Most of the limitations of our NGS study are based on the fact that this test may not detect all variants in the noncoding regions that could affect gene expression or the copy number change of the gene or part of it.

The identification of variants that differ between cases and controls may allow us to identify potential predictors of nonresponse to eltrombopag, especially the MAPK3 variant that we only observed in refractory patients. Although these findings are quite promising, more studies are needed to establish a more robust correlation between these variants and eltrombopag refractoriness.

This research was funded by a Novartis Research grant (CETB115BES06T).

Novartis did not have any role in the design, execution, analysis, or interpretation of the study.

Contribution: T.J.G.-L. conceptualized and designed the study; R.S. and J.M.L. performed molecular biology studies; S. Matarraz performed flow cytometry studies; T.J.G.-L. performed statistical analyses; T.J.G.-L. wrote the manuscript (text and tables); and all authors analyzed and interpreted the results, collected data, and provided final approval of the manuscript.

Conflict-of-interest disclosure: T.J.G.-L. has received research grants from Amgen and Novartis and speaker honoraria from Amgen, Novartis, Sobi, Grifols, Alpine, and Argenx. R.S. has received a research grant from Novartis. I.J. has received speaker honoraria from Amgen, Novartis, Sobi, Grifols, and Shionogi. D.P. acknowledges the following competing interests: research support from Amgen and Novartis; honoraria from Amgen, Novartis, Sobi, UCB, and Argenx; and consultancies with UCB Pharma, MedImmune, Ono, Sobi, Argenx, and Takeda. J.M.L. has received a research grant from Novartis. The remaining authors declare no competing financial interests.

Correspondence: Tomás José González-López, Servicio de Hematología, Hospital Universitario de Burgos, Avenida Islas Baleares s/n, 09006 Burgos, Spain; email: tjgonzalez@saludcastillayleon.es.

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Author notes

Data are available on request from the corresponding author, Tomás José González-López (tjgonzalez@saludcastillayleon.es).

The full-text version of this article contains a data supplement.

Supplemental data