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Updated: Feb 10, 2026
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
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Cutting-Edge Technologies to Decode Tumor Microenvironment in Multiple Myeloma
Doriana Gramegna1, Paolo Mondelli1, Susanna Anita Pappagallo1
1Hematology Unit, IRCCS Istituto Tumori "Giovanni Paolo II", Bari, Italy.
Hematological Oncology
|February 8, 2026
Summary
Multiple myeloma (MM) research utilizes advanced single-cell omics and AI to map the tumor microenvironment (TME). These technologies aim to understand immune cell interactions for developing personalized, immune-informed therapies in MM.
Area of Science:
- Oncology
- Immunology
- Bioinformatics
Background:
- Multiple myeloma (MM) is a malignancy driven by its complex tumor microenvironment (TME).
- The TME significantly influences disease progression and resistance to therapies.
- Understanding TME dynamics is crucial for effective MM treatment strategies.
Purpose of the Study:
- To review recent technological advancements for dissecting the MM TME.
- To discuss the integration of these technologies for deciphering TME biology.
- To highlight the path toward precision medicine in MM.
Main Methods:
- Single-cell omics technologies (e.g., single-cell RNA sequencing).
- Spatial transcriptomics and mass cytometry for high-resolution mapping.
- Advanced imaging and computational frameworks, including artificial intelligence (AI).
Main Results:
- Emerging technologies enable detailed mapping of tumor and immune cell interactions within the TME.
- Spatial heterogeneity within the TME is identified as a factor influencing clinical outcomes.
- AI and machine learning enhance data integration and predictive power for biomarker discovery.
Conclusions:
- Advanced technologies offer powerful tools to analyze the MM immune landscape.
- Integration of these tools is key to understanding TME complexity.
- Further development and standardization are needed for clinical translation, paving the way for personalized, immune-informed MM therapies.
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