Analysis of HKDC1 expression in multiple myeloma: a combined bioinformatic and experimental approach

Authors

  • Ivyna Pau Ni Bong Author
  • Nor Soleha Mohd Dali Haematology Unit, Cancer Research Centre, Institute for Medical Research, National Institutes of Health, Ministry of Health, Malaysia Author

DOI:

https://doi.org/10.63719/imrj.2026.12.02.004

Keywords:

HKDC1, multiple myeloma, bioinformatic, transcriptomic, RT-qPCR

Abstract

Hexokinase domain-containing 1 (HKDC1) has been recognised as a crucial protein involved in cancer metabolism. However, its roles in the pathogenesis of multiple myeloma (MM) remain uncertain. This study combined bioinformatic analysis and experimental validation to investigate the expression pattern of HKDC1 in MM. Transcriptomic data from public databases were analysed to explore the expression levels of HKDC1 in different stages of MM. Kaplan-Meier analysis was performed to evaluate the impact of HKDC1 expression on event-free survival (EFS) of MM patients. HKDC1 expression levels were then validated in clinical samples and cell lines using reverse-transcription quantitative polymerase chain reaction (RT-qPCR). Bioinformatic analysis of public databases revealed that HKDC1 was downregulated in monoclonal gammopathy of undetermined significance (MGUS), MM, and relapsed MM compared to the normal plasma cells. Furthermore, low HKDC1 level was found to be associated with shorter EFS in MM patients. Experimental validation via RT-qPCR confirmed that HKDC1 is significantly downregulated in MM patients. Collectively, HKDC1 may play a part in the development and progression of MM, providing new insights into the molecular processes that underlie this condition.

Author Biography

  • Ivyna Pau Ni Bong

    Hexokinase domain-containing 1 (HKDC1) has been recognised as a crucial protein involved in cancer metabolism. However, its roles in the pathogenesis of multiple myeloma (MM) remain uncertain. This study combined bioinformatic analysis and experimental validation to investigate the expression pattern of HKDC1 in MM. Transcriptomic data from public databases were analysed to explore the expression levels of HKDC1 in different stages of MM. Kaplan-Meier analysis was performed to evaluate the impact of HKDC1 expression on event-free survival (EFS) of MM patients. HKDC1 expression levels were then validated in clinical samples and cell lines using reverse-transcription quantitative polymerase chain reaction (RT-qPCR). Bioinformatic analysis of public databases revealed that HKDC1 was downregulated in monoclonal gammopathy of undetermined significance (MGUS), MM, and relapsed MM compared to the normal plasma cells. Furthermore, low HKDC1 level was found to be associated with shorter EFS in MM patients. Experimental validation via RT-qPCR confirmed that HKDC1 is significantly downregulated in MM patients. Collectively, HKDC1 may play a part in the development and progression of MM, providing new insights into the molecular processes that underlie this condition.

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Published

30-10-2026

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Original Research Articles

How to Cite

Analysis of HKDC1 expression in multiple myeloma: a combined bioinformatic and experimental approach. (2026). International Medical Research Journal, 12(2). https://doi.org/10.63719/imrj.2026.12.02.004

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