Related Experiment Video
Updated: Jun 6, 2025

10:04
Establishment of a Human Multiple Myeloma Xenograft Model in the Chicken to Study Tumor Growth, Invasion and Angiogenesis
Published on: May 1, 2015
13.0K
Mesenchymal Stem Cells and Reticulated Platelets: New Horizons in Multiple Myeloma
Cristian Alejandro Mera Azaín1, Johan Leandro Vargas Pasquel1, Sandra Milena Quijano Gómez1
1Grupo Inmunobiología y Biología Celular, Facultad de Ciencias, Pontificia Universidad Javeriana, Bogotá 110111, Colombia.
Hematology Reports
|November 25, 2024
Summary
Mesenchymal stem cells (MSCs) and reticulated platelets (RPs) play key roles in multiple myeloma (MM) development and progression. Evaluating MSCs and RPs could offer new prognostic markers for MM patients.
Area of Science:
- Hematology
- Oncology
- Cell Biology
Background:
- Multiple myeloma (MM) is a plasma cell malignancy.
- Mesenchymal stem cells (MSCs) and reticulated platelets (RPs) are increasingly recognized for their roles in MM pathogenesis.
- The bone marrow microenvironment, influenced by MSCs and RPs, is critical for MM progression.
Purpose of the Study:
- To review the role of MSCs and RPs in the pathophysiology of MM.
- To explore the potential clinical utility of MSCs and RPs as prognostic indicators in MM.
- To discuss the integration of MSC and RP evaluation into clinical practice for MM management.
Main Methods:
- This study is a narrative review.
- Literature search on the involvement of MSCs and RPs in MM.
- Analysis of existing research on MM pathophysiology and potential biomarkers.
Main Results:
- MSCs support MM cell survival, proliferation, and drug resistance via secreted factors.
- RPs promote angiogenesis, tumor growth, and metastasis in MM.
- Current clinical evaluations for MM do not typically include MSCs or RPs.
Conclusions:
- MSCs and RPs are integral to MM biology and progression.
- Evaluating MSCs and RPs may provide valuable prognostic information for MM patients.
- Incorporating MSC and RP assessment into clinical practice could enhance MM outcome prediction and management strategies.

