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MicroRNA 21 Fails to Predict Tyrosine Kinase Inhibitor Response in CML

MicroRNA 21 Gagal Memprediksi Respons Inhibitor Kinase Tirosin pada Leukemia Mieloid Kronis (CML)
Vol. 2 No. 3 (2025): Desember:

Abbas Ridha Jasim (1), Hussein. A Sahib (2)

(1) Department of Clinical Pharmacology and Therapeutics, University of Al-Qadisiya, College of Medicine, Iraq
(2) Department of Clinical Pharmacology and Therapeutics, University of Al-Qadisiya, College of Medicine, Iraq

Abstract:

Chronic myeloid leukemia is characterized by the BCR-ABL fusion gene and is routinely treated with tyrosine kinase inhibitors, although treatment resistance remains a clinical challenge. MicroRNA 21 has been widely reported as an oncogenic microRNA and proposed as a potential biomarker for predicting therapeutic response in chronic myeloid leukemia. This study aimed to evaluate the association between microRNA 21 expression levels and clinical response to tyrosine kinase inhibitor therapy in chronic myeloid leukemia patients. A cross-sectional single-center study was conducted involving 50 Philadelphia chromosome–positive chronic myeloid leukemia patients receiving tyrosine kinase inhibitors. MicroRNA 21 expression was quantified using real-time quantitative polymerase chain reaction, and treatment response was classified according to European LeukemiaNet 2020 criteria. Comparative and correlation analyses were performed to assess associations between microRNA 21 expression and hematological and molecular response parameters. The results demonstrated no statistically significant difference in microRNA 21 expression between good and poor responders, and no meaningful correlation with treatment response indicators. This finding contrasts with earlier studies that identified microRNA 21 as a predictor of resistance when measured at diagnosis. The novelty of this study lies in demonstrating that post-treatment microRNA 21 expression lacks prognostic value in predicting ongoing tyrosine kinase inhibitor response. These findings suggest that microRNA 21 should be interpreted cautiously as a biomarker and highlight the need for longitudinal biomarker assessment to improve precision medicine strategies in chronic myeloid leukemia.


Keywords: Chronic Myeloid Leukemia, MicroRNA 21, Tyrosine Kinase Inhibitors, Treatment Response, Biomarker Evaluation


Highlights:




  • MicroRNA 21 shows no association with TKI treatment response in CML patients




  • Post-treatment microRNA 21 lacks prognostic utility for therapy outcomes




  • Findings challenge microRNA 21 as a universal resistance biomarker



Introduction

Chronic Myeloid Leukemia (CML) is a myeloproliferative neoplasm with an annual incidence of two cases per 100,000, constituting about 15% of newly diagnosed adult leukemia cases. The CML-specific mortality rate is low, at 0.5%–1%. CML was the first cancer linked to a chromosomal defect, specifically the Philadelphia chromosome (Ph), which arises from the reciprocal translocation t(9;22). This translocation fuses the Abelson murine leukemia (ABL) gene on chromosome 9 with the Breakpoint Cluster Region (BCR) gene on chromosome 22, creating the BCR-ABL oncogene. This hybrid gene produces a constitutively active tyrosine kinase oncoprotein, which drives the uncontrolled growth and division of CML cells.[1]

The standard treatment for CML involves Tyrosine Kinase Inhibitors (TKIs), a class of pharmaceutical drugs approved by the FDA that interfere with protein kinase signal transduction pathways. The BCR gene contains several breakpoint regions (M-BCR, m-BCR, μ-BCR), which determine the type of BCR-ABL transcript produced. The most common transcripts in CML are e13a2 and e14a2, both encoding the p210 oncoprotein, which possesses the constitutive tyrosine kinase activity central to leukemogenesis.[2]

Non-coding RNAs, unlike coding RNAs (like mRNA), regulate various levels of gene expression without encoding proteins. MicroRNAs (miRNAs) are a category of small , single-stranded, non-coding RNAs (approximately 22–23 nucleotides long) that act post-transcriptionally. Their primary function is to control biological processes by "silencing" genes, typically by promoting mRNA degradation or repressing its translation. However, the function of miRNAs is complex; they can also indirectly increase protein expression by breaking down natural inhibitors of certain mRNAs.[3]

MicroRNA-21 (miR-21) is the most frequently upregulated miRNAs of cancer, often referred to as an oncomiR. It targets multiple tumor suppressor genes linked to apoptosis, invasion, and proliferation, thereby contributing to tumorigenesis. Studies have suggested that miR-21 is linked to chemotherapy resistance and functions as a pro-survival and anti-apoptotic factor. Higher levels of miR-21 expression have been reported in CML patients compared to healthy controls at diagnosis, with expression levels correlating with disease stage (higher in CML-BP and lower from CML-AP to CML-CP). The findings propo a potential role for miR-21 as a biomarker for diagnosis and prognosis in CML, and some authors have reported that Imatinib reduces miR-21 expression, suggesting its potential for monitoring therapy response.[4]

Given the conflicting or evolving understanding of miR-21's role in CML treatment response, the objective of this study was to assess the correlation between microRNA-21 (miR-21) expression levels and the clinical response to Tyrosine Kinase Inhibitor (TKI) therapy in CML patients under treatment.

Materials and Methods

2.1. Study Design and Patient Population

The present research was designed as a cross-sectional, single center examination. The research carried out in collaboration between the Hematological Consultant unit at Al-Diwaniyah General Hospital and the Department of Pharmacology and Therapeutics, Faculty of Medicine, University of Al-Qadisiya , Iraq. The study duration was five months, from October 2024 to February 2025.

The study included 50 patients diagnosed with Philadelphia chromosome-positive CML. All recruited patients were currently receiving at least one type of TKI treatment and had comprehensive clinical and laboratory records available for review.

2.2. TKI Treatment and Response Criteria

All patients included in the study were receiving Tyrosine Kinase Inhibitor (TKI) therapy, including Imatinib, Nilotinib, andBosutinib, as first- or second-line treatment for CML. The specific TKI and dosage were determined by the treating physician based on standard clinical guidelines. Patients had been on TKI therapy for a minimum of 12 months.

The Patients were categorized into two groups according to their molecular response to TKI therapy, following the European LeukemiaNet (ELN) 2020 recommendations [10]:

  • Good Response Group (n=29): Patients who achieved an optimal response, defined as Major Molecular Response (MMR) (BCR-ABL1 ≤ 0.1% on the International Scale (IS)) at 12 months or later.
  • Poor Response Group (n=21): Patients who showed a warning or failure response, defined as achievement failure MMR (BCR-ABL1 ≥ 0.1% IS) at 12 months or later, or those who experienced loss of response.

2.2. Ethical Approval and Data Collection

The present study protocol was accepted by the Ethics Research Committee of Al-Qadisiya University. Informed consent was obtained from each patient and control participant in accordance with the Declaration of Helsinki.

For diagnosis and follow-up, standard procedures included a complete blood count and molecular analysis of BCR-ABL1 by real-time quantitative PCR.

2.4. Gene Expression Analysis of microRNA-21

Extraction of RNA and Synthesis of cDNA

The entire RNA was taken from whole blood samples using TRIpure RNA extraction reagents (ELK, China) following the manufacturer's protocol, which involved lysis with Triazol, chloroform extraction, isopropanol precipitation, and 70% ethanol washing. RNA concentration was measured using the Quantus™ Fluorometer (Promega, USA). The extracted RNA was reverse transcribed into complementary DNA (cDNA) using the ADDBio kit (Korea). The reaction of the mixture (20 μl total volume) included 4 μl of RNA and was incubated at 50°C for 60 minutes for reverse transcription.

Quantitative Reverse Transcriptase PCR (RT-qPCR)

The expression level of microRNA-21 (miR-21) was quantified by RT-qPCR using the AddScript RT-qPCR Syber master (AddBio, Korea) on a BioRAD (USA) real-time qPCR machine. The housekeeping gene was GAPDH.

Primers used in this study:

Gene Primer Sequence (5'->3')
House Keeping Gene (GAPDH) Forward GAAGGTGAAGGTCGGAGTC
Reverse GAAGATGGTGATGGGATTTC
Gene of Interest (miRNA-21) Forward TTGTCGGGTAGCTTATC
Reverse GTCAGACAGCCCATCGA
Table 1.

The 20 μl reaction mix included 2 μl of cDNA and 2 μl of each primer (0.05 pmol/20 μl). The thermal cycling conditions were: primer denaturation at 95°C for 5 minutes , then forty cycles of denaturation (95°C for 20 seconds ), annealing (60°C for 30 seconds ), then extension (72°C for 30 seconds). A melting curve study was conducted to ensure product specificity

Statistical Analysis

The gene expression levels of microRNA-21 were compared between these two groups using GraphPad Prism software. Statistical significance was determined by t-test analysis.

Results

3.1 miR-21 Expression and Treatment Response Parameters

The correlation between miRNA-21 expression levels and key parameters of treatment response (WBC, HB, PLT, molecular) was also assessed (Table 1). The analysis revealed no significant correlation between the expression of miRNA-21 and any of the measured treatment response parameters (p > 0.05 for all).

3.2 Comparison of miR-21 Expression Levels by TKI Response

The mean expression level of miRNA-21 was compared between the poor response group (n=21) and the good response group (n=29) (Table 2 and Figure 1).

The mean expression level of miRNA-21 was slightly higher in the poor response group (31.16 ± 4.89) compared to the good response group (29.88 ± 3.79). However, this difference was not statistically significant (p = 0.301).

Characteristic miRNA-21 (r)* miRNA-21 (p)*
WBC 0.121 0.403
HB 0.198 0.168
PLT -0.018 0.904
molecular 0.033 0.821
Table 2. Table 1. Correlations of miRNA-21 to Parameters of Treatment Response

*(r )correlation coefficient, (p) p-value

Characteristics Poor response (n=21) Mean ±SD Good response (n=29) Mean ±SD p-value
miRNA-21 31.16 ± 4.89 29.88 ± 3.79 0.301
Table 3. Table 2. Comparison of Mean Expression Levels of miRNA-21 according to TKI Response

Figure 1. Figure 1. Comparison of Mean Expression Levels of microRNA-21 (miR-21) according

to TKI Response

Discussion

The primary objective of the present study was to assess the prognostic significance of microRNA-21 (miR-21) expression levels in CML patients undergoing TKI therapy by comparing expression levels between patients with good and poor treatment responses. This study is particularly significant as research on CML and microRNA biomarkers is scarce in the Al-Diwaniyah region of Iraq, where local data on treatment response and prognostic factors are urgently needed [8] [9]. Our findings indicate that the mean expression level of miR-21 did not differ significantly between the two response groups (p = 0.301)

This result is particularly noteworthy as it contradicts a significant body of literature that has proposed miR-21 as a key oncomiR and a potential biomarker for TKI resistance in CML [1] [2] [3]. Several studies have reported that high levels of miR-21 are connected with resistance to Imatinib-induced apoptosis, often by focusing on tumor suppressor genes like PTEN or by activating the PI3K/AKT pathway [4] [5]. For instance, a study by Alves et al. (2019) concluded that miR-21 expression levels at diagnosis played a crucial role in predicting optimal response to TKI treatment [6].

The discrepancy between our findings and the existing literature may be attributed to several factors. Firstly, the timing of sample collection is a critical variable. Most studies that report a correlation between high miR-21 and poor response measure the expression levels at the time of diagnosis (pre-treatment) to predict future response [6] [7]. In contrast, our study measured miR-21 expression in patients who were already receiving TKI treatment (post-treatment). The original hypothesis in the Introduction section of this manuscript suggested that Imatinib may reduce miR-21 expression, which could potentially mask any initial prognostic difference. Our results, therefore, suggest that miR-21 expression levels afterthe initiation of TKI therapy may not be a reliable indicator of the current treatment outcome (good vs. poor response).

Finally, the study's limited sample size (n=50) and its cross-sectional design may limit the power to detect subtle differences in expression levels. Despite these limitations, this study provides valuable baseline data from an underrepresented population in Iraq, contributing to the global understanding of CML management in diverse ethnic and geographical settings. Longitudinal studies tracking miR-21 expression from diagnosis through various stages of TKI response would be necessary to fully reconcile our findings with the broader literature.

In summary, while previous research strongly supports a role for miR-21 in the mechanism of TKI resistance, our data from CML patients already on TKI therapy suggest that the expression level of miR-21 is not a significant prognostic biomarker for distinguishing between good and poor responders in this specific clinical context.

Conclusion

Based on the analysis of 50 CML patients receiving TKI therapy, this study concludes that the expression level of microRNA-21 (miR-21) does not significantly correlate with the patient's response to Tyrosine Kinase Inhibitor treatment. The comparison of mean miR-21 expression between good and poor responders showed no statistically significant difference. Therefore, miR-21 expression, when measured post-treatment initiation, cannot be considered a promising biomarker for the prediction of TKI treatment response in CML patients. Further large-scale, longitudinal studies are recommended to clarify the role of miR-21 at different stages of TKI therapy.

References

[1] R. Alves et al., “MicroRNA Signature Refines Response Prediction in Chronic Myeloid Leukemia,” Scientific Reports, vol. 9, no. 1, p. 9651, 2019.

[2] M. Sohani et al., “Non-Coding RNAs as Emerging Contributors to Tyrosine Kinase Inhibitor Resistance in Chronic Myeloid Leukemia,” Molecular and Cellular Oncology, vol. 12, no. 1, 2025.

[3] C. Di Stefano et al., “MicroRNA Expression and Resistance to Tyrosine Kinase Inhibitors in Chronic Myeloid Leukemia,” Oncology Reports, vol. 35, no. 1, pp. 101–108, 2016.

[4] Y. Li et al., “Silencing of miR-21 Sensitizes CML Stem Cells to Imatinib-Induced Apoptosis,” Leukemia Research, vol. 39, no. 11, pp. 1227–1233, 2015.

[5] F. Zhou et al., “Tyrosine Kinase-STAT5-miR-21-PDCD4 Regulatory Axis in Myeloid Leukemia,” Oncotarget, vol. 8, no. 52, pp. 89961–89975, 2017.

[6] R. Alves et al., “MicroRNA-Based Prediction of Treatment Response in CML,” Scientific Reports, vol. 9, no. 1, p. 9651, 2019.

[7] J. E. A. Gordon et al., “MicroRNA Dysregulation in Newly Diagnosed Chronic Myeloid Leukemia,” Blood, vol. 122, no. 21, p. 4985, 2013.

[8] S. A. A. Khaled et al., “Myeloid Leukemias in Middle Eastern Centers,” Journal of Blood Medicine, vol. 10, pp. 395–404, 2019.

[9] G. Saglio et al., “Current Status and Management of Chronic Myeloid Leukemia in the Middle East,” Leukemia Research, vol. 131, 2024.

[10] A. Hochhaus et al., “European LeukemiaNet 2020 Recommendations for Treating Chronic Myeloid Leukemia,” Leukemia, vol. 34, no. 4, pp. 966–984, 2020.

[11] J. Cortes et al., “Resistance Mechanisms to Tyrosine Kinase Inhibitors in Chronic Myeloid Leukemia,” Blood, vol. 130, no. 2, pp. 123–132, 2017.

[12] E. Jabbour and H. Kantarjian, “Chronic Myeloid Leukemia: 2023 Update on Diagnosis and Management,” American Journal of Hematology, vol. 98, no. 1, pp. 1–15, 2023.

[13] M. Baccarani et al., “Monitoring Treatment Response in Chronic Myeloid Leukemia,” Haematologica, vol. 104, no. 2, pp. 217–226, 2019.

[14] T. Branford et al., “Molecular Response and Resistance in CML,” Journal of Clinical Oncology, vol. 38, no. 3, pp. 247–257, 2020.

[15] D. H. Kim et al., “Non-Coding RNAs and Therapeutic Resistance in Leukemia,” Cancers, vol. 14, no. 5, p. 1123, 2022.