Personalised prediction of anomalous bone regeneration in multiple myeloma patients

Recent advances in immunotherapies have dramatically extended the lives of patients with multiple myeloma, resulting in a growing population of elderly patients suffering from damage to their vertebrae caused by this blood cancer. Clinicians typically intervene to fill in these lytic lesions in an attempt to reduce the risk of vertebral collapse and spinal cord injury, however observations of rapid bone regeneration post-cancer treatment suggest that surgery may not always be required. Here we develop a series of mechanistic computational models, optimised using cohorts of healthy volunteer and patient data, to show that vertebrae of recovering multiple myeloma patients rapidly strengthen in a manner not entirely explained by known bone remodelling mechanisms. Furthermore, using pathways informed by genomics data and patient-specific bone biomarkers, we demonstrate the potential for these models to provide personalised predictions of bone disease trajectory.

Authors

Institutions

Publication Details

Journal
bioRxiv (Cold Spring Harbor Laboratory)
Published
2026-10-28
DOI
https://doi.org/10.64898/2026.10.26.761863
Primary Topic
Multiple Myeloma Research and Treatments
Type
preprint

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
preprint

Personalised prediction of anomalous bone regeneration in multiple myeloma patients

Margaret Paggiosi, Xinshan Li, Janet Elizabeth Brown, Catherine Handforth et al.
bioRxiv (Cold Spring Harbor Laboratory)
Multiple Myeloma Research and Treatments
preprint

Personalised prediction of anomalous bone regeneration in multiple myeloma patients

Margaret Paggiosi, Xinshan Li, Janet Elizabeth Brown, Catherine Handforth, Andrew Chantry, Rebecca E. Andrews, Sean Molloy, Julia C. Shelton, Michelle Anne Lawson, Stefaan W. Verbruggen, Enrico Dall’Ara, Prash Thayaparan, Fiona Gibson
preprint en

Abstract

Recent advances in immunotherapies have dramatically extended the lives of patients with multiple myeloma, resulting in a growing population of elderly patients suffering from damage to their vertebrae caused by this blood cancer. Clinicians typically intervene to fill in these lytic lesions in an attempt to reduce the risk of vertebral collapse and spinal cord injury, however observations of rapid bone regeneration post-cancer treatment suggest that surgery may not always be required. Here we develop a series of mechanistic computational models, optimised using cohorts of healthy volunteer and patient data, to show that vertebrae of recovering multiple myeloma patients rapidly strengthen in a manner not entirely explained by known bone remodelling mechanisms. Furthermore, using pathways informed by genomics data and patient-specific bone biomarkers, we demonstrate the potential for these models to provide personalised predictions of bone disease trajectory.

bioRxiv (Cold Spring Harbor Laboratory)
Queen Mary University of London (GB), Royal National Orthopaedic Hospital (GB), Sheffield Teaching Hospitals NHS Foundation Trust (GB), University of Sheffield (GB)
European Commission, Weston Park Cancer Charity, Engineering and Physical Sciences Research Council
Good health and well-being
Multiple Myeloma Research and Treatments
DOIOpen Access PDFOpenAlex
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Laika access coming soon