Next-generation biomarkers in multiple myeloma: Understanding the molecular basis for potential use in diagnosis and prognosis

Amro M. Soliman, Srijit Das*, Seong Lin Teoh*

*Corresponding author for this work

Research output: Contribution to journalReview articlepeer-review

16 Citations (Scopus)


Multiple myeloma (MM) is considered to be the second most common blood malignancy and it is characterized by abnormal proliferation and an accumulation of malignant plasma cells in the bone marrow. Although the currently utilized markers in the diagnosis and assessment of MM are showing promising results, the incidence and mortality rate of the disease are still high. Therefore, exploring and developing better diagnostic or prognostic biomarkers have drawn global interest. In the present review, we highlight some of the recently reported and investigated novel biomarkers that have great potentials as diagnostic and/or prognostic tools in MM. These biomarkers include angiogenic markers, miRNAs as well as proteomic and immunological biomarkers. Moreover, we present some of the advanced methodologies that could be utilized in the early and competent diagnosis of MM. The present review also focuses on understanding the molecular concepts and pathways involved in these biomarkers in order to validate and efficiently utilize them. The present review may also help in identifying areas of improvement for better diagnosis and superior outcomes of MM.

Original languageEnglish
Article number7470
JournalInternational Journal of Molecular Sciences
Issue number14
Publication statusPublished - Jul 2 2021


  • Angiogenic markers
  • Diagnostic markers
  • Liquid biopsy
  • MiRNAs
  • Multiple myeloma
  • Prognostic markers
  • Proteomics
  • Telomeres

ASJC Scopus subject areas

  • Catalysis
  • Molecular Biology
  • Spectroscopy
  • Computer Science Applications
  • Physical and Theoretical Chemistry
  • Organic Chemistry
  • Inorganic Chemistry


Dive into the research topics of 'Next-generation biomarkers in multiple myeloma: Understanding the molecular basis for potential use in diagnosis and prognosis'. Together they form a unique fingerprint.

Cite this