Targeting the FOXM1/BUB1B signaling network in multiple myeloma: mechanistic insights and therapeutic potential

Durdana Yasin1, Neha Sami2, Sarah Khalid1

  • 1Department of Biosciences, Faculty of Science, Integral University, Lucknow, India.

Leukemia & Lymphoma
|January 24, 2026
PubMed

Insights

Multiple myeloma involves genomic instability and drug resistance, driven by the FOXM1 transcription factor and BUB1B kinase. Targeting this FOXM1-BUB1B pathway offers a promising strategy for treating aggressive plasma cell cancers.

Area of Science:

  • Oncology
  • Molecular Biology
  • Genetics

Background:

  • Multiple myeloma (MM) is a plasma cell malignancy marked by genomic instability and resistance to therapies.
  • Key drivers include the FOXM1 transcription factor and BUB1B kinase, which are linked to aggressive disease progression.
  • FOXM1 influences cell cycle and is upregulated by MAPK and PI3K/AKT pathways, while BUB1B is crucial for chromosome segregation.

Purpose of the Study:

  • To elucidate the functional relationship between FOXM1 and BUB1B in multiple myeloma.
  • To investigate the FOXM1-BUB1B axis as a potential therapeutic target for MM.
  • To explore the implications of this pathway in MM proliferation, drug resistance, and patient survival.

Main Methods:

  • Analysis of gene expression data and protein levels related to FOXM1 and BUB1B in MM.
  • Investigating the transcriptional regulation of BUB1B by FOXM1.
  • Preclinical evaluation of inhibitors targeting the FOXM1-BUB1B pathway.

Main Results:

  • FOXM1 directly regulates BUB1B transcription, establishing an oncogenic axis.
  • This FOXM1-BUB1B pathway significantly enhances MM cell proliferation, confers resistance to treatments, and promotes survival.
  • The pathway is associated with aggressive disease phenotypes.

Conclusions:

  • The FOXM1-BUB1B axis is a critical driver of multiple myeloma pathogenesis.
  • Targeting this pathway presents a promising therapeutic strategy for MM.
  • Further research is needed to validate clinical relevance, explore combination therapies, and assess biomarker potential.

Related Concept Videos

¹H NMR Signal Multiplicity: Splitting Patterns01:13

¹H NMR Signal Multiplicity: Splitting Patterns

When protons A and X are coupled, their nuclear spin energy levels are slightly modified. This is because the energy required to excite proton A to a spin state parallel to proton X is slightly different from the energy required for it to become anti-parallel to spin X. Consequently, there are two possible excitation frequencies for A (A1 and A2), depending on the spin state of X, and vice versa. The mutual nature of coupling implies that the difference between frequencies A1 and A2, indicated...
6.5K
Protein Networks02:26

Protein Networks

An organism can have thousands of different proteins, and these proteins must cooperate to ensure the health of an organism. Proteins bind to other proteins and form complexes to carry out their functions. Many proteins interact with multiple other proteins creating a complex network of protein interactions.
These interactions can be represented through maps depicting protein-protein interaction networks, represented as nodes and edges. Nodes are circles that are representative of a protein,...
4.5K
Network Covalent Solids02:18

Network Covalent Solids

Network covalent solids contain a three-dimensional network of covalently bonded atoms as found in the crystal structures of nonmetals like diamond, graphite, silicon, and some covalent compounds, such as silicon dioxide (sand) and silicon carbide (carborundum, the abrasive on sandpaper). Many minerals have networks of covalent bonds.
To break or to melt a covalent network solid, covalent bonds must be broken. Because covalent bonds are relatively strong, covalent network solids are typically...
16.1K
Synaptic Signaling01:12

Synaptic Signaling

Neurons communicate at synapses, or junctions, to excite or inhibit the activity of other neurons or target cells, such as muscles. Synapses may be chemical or electrical.
79.3K
Mechanistic Models: Overview of Compartment Models01:21

Mechanistic Models: Overview of Compartment Models

Mechanistic models, a category encompassing both physiological and compartmental modeling, differ from empirical models' approaches to incorporating known factors about the systems being modeled. Empirical models describe data with minimal assumptions, while mechanistic models aim to provide a robust description of available data by specifying assumptions and integrating known factors about the system. Compartmental analysis is a key example of a mechanistic model in pharmacokinetics and...
371
What is Cell Signaling?02:03

What is Cell Signaling?

Despite the protective membrane that separates a cell from the environment, cells need the ability to detect and respond to environmental changes. Additionally, cells often need to communicate with one another. Unicellular and multicellular organisms use a variety of cell signaling mechanisms to communicate to respond to the environment.
129.9K