Skip to Main content Skip to Navigation
Journal articles

Multiple Myeloma as a Bone Disease? The Tissue Disruption-Induced Cell Stochasticity (TiDiS) Theory

Abstract : The standard model of multiple myeloma (MM) relies on genetic instability in the normal counterparts of MM cells. MM-induced lytic bone lesions are considered as end organ damages. However, bone is a tissue of significance in MM and bone changes could be at the origin/facilitate the emergence of MM. We propose the tissue disruption-induced cell stochasticity (TiDiS) theory for MM oncogenesis that integrates disruption of the microenvironment, differentiation, and genetic alterations. It starts with the observation that the bone marrow endosteal niche controls differentiation. As decrease in cellular stochasticity occurs thanks to cellular interactions in differentiating cells, the initiating role of bone disruption would be in the increase of cellular stochasticity. Thus, in the context of polyclonal activation of B cells, memory B cells and plasmablasts would compete for localizing in endosteal niches with the risk that some cells cannot fully differentiate if they cannot reside in the niche because of a disrupted microenvironment. Therefore, they would remain in an unstable state with residual proliferation, with the risk that subclones may transform into malignant cells. Finally, diagnostic and therapeutic perspectives are provided.
Document type :
Journal articles
Complete list of metadata

Cited literature [85 references]  Display  Hide  Download

https://hal.inrae.fr/hal-02991810
Contributor : Suzette Astruc <>
Submitted on : Friday, November 6, 2020 - 10:35:13 AM
Last modification on : Tuesday, June 22, 2021 - 3:10:54 PM

File

2020_Capp_cancers.pdf
Publisher files allowed on an open archive

Licence


Distributed under a Creative Commons Attribution 4.0 International License

Identifiers

Citation

Jean-Pascal Capp, Régis Bataille. Multiple Myeloma as a Bone Disease? The Tissue Disruption-Induced Cell Stochasticity (TiDiS) Theory. Cancers, MDPI, 2020, 12 (8), ⟨10.3390/cancers12082158⟩. ⟨hal-02991810⟩

Share

Metrics

Record views

50

Files downloads

61