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Record W4405042096 · doi:10.1182/blood-2024-197988

Chemotherapy-Induced Bone Defects Stem from Skeletal Progenitor Dysfunction

2024· article· en· W4405042096 on OpenAlexaff
Anastasia N. Tikhonova, Ximing Li, Alicia G. Aguilar-Navarro, Mursal Nader, Gibran Edun, Mark Gower, Soheil Jahangiri, Ho Seok Lee, David-Michael Phillips, Minerva Fernandez, P.K. Ramkumar, Daniel L. Coutu, Cari Whyne, Gregory W. Schwartz, Thomas Kislinger, Margarete K. Akens

Bibliographic record

VenueBlood · 2024
Typearticle
Languageen
FieldMedicine
TopicManagement of metastatic bone disease
Canadian institutionsSunnybrook Health Science CentreUniversity of TorontoPrincess Margaret Cancer CentreOttawa HospitalUniversity Health Network
Fundersnot available
KeywordsStem cellProgenitor cellMedicineChemotherapyPathologyCancer researchBiologyInternal medicineCell biology

Abstract

fetched live from OpenAlex

Combination chemotherapy has markedly improved the survival rates among acute lymphoblastic (ALL) leukemia patients (Hunger & Mulligan, NEJM 2015). However, treatment-related long-term morbidities, including skeletal defects, present a significant clinical challenge. Cancer survivors frequently suffer from osteoporosis, increased fracture risk, and, in pediatric cases, height deficit, profoundly impacting their quality of life (Vandecruys et al., J. Pediatr. 2013). The development of interventions to preserve bone is impeded by an incomplete understanding of molecular mechanisms underlying long-term bone toxicity mediated by chemotherapy. Skeletal integrity is maintained by active osteoblasts, which originate from bone marrow (BM) mesenchymal stem and progenitor cells (MSPCs) (Zhou et al., Cell Stem Cell 2014). We previously showed that chemotherapy can induce significant transcriptional reprogramming in MSPCs, leading to a reduction in their osteogenic potential (Tikhonova & Dolgalev et al., Nature 2019). Nevertheless, it remains unclear whether these stress-induced alterations in MSPCs can persist over time and contribute to permanent bone defects. To examine the long-term impact of chemotherapy on MSPCs, we treated mice with doxorubicin (DOX), an anthracycline prescribed in ALL induction therapy. Mice receiving DOX treatment exhibited short stature, trabecular bone loss, and diminished bone mineral density 20 weeks post-treatment, indicating that DOX alone was adequate to induce long-term skeletal defects in mice. Flow cytometry analysis revealed a marked reduction in the frequency of osteogenic MSPCs in DOX-treated animals. Moreover, we found that in vivo DOX treatment led to MSPC dysfunction, as indicated by loss of ex vivo colony-forming capacity and osteogenic differentiation potential. To map MSPC fate in vivo, we conducted lineage tracing experiments using Lepr-tdT;2.3Col-GFP reporter model. Our results revealed a loss of MSPC-derived osteoblasts in DOX-treated animals. Collectively, these findings indicate the loss of functional MSPCs and a shift in MSPC lineage priming following DOX treatment. Next, we performed bulk RNA sequencing to investigate DOX-mediated molecular changes in MSPCs. Our analysis showed a decrease in osteogenesis-associated pathways and an upregulation of genes associated with DNA damage response and adipogenesis in MSPCs following DOX treatment. Interestingly, we found upregulation of pathways associated with inflammatory response. It has been shown that chronic inflammation shapes function and fate of stem cells (Matatall et al. Cell Rep. 2016). Thus, this finding offers a critical insight into the mechanisms underlying DOX-mediated MSPC dysfunction. Next, to explore the transcriptional heterogeneity of the BM microenvironment, we performed unbiased single-cell RNA sequencing on BM stromal and endothelial populations. We found an enrichment of adipo-primed MSPCs, a loss of osteo-primed MSPCs, as well as a decrease in genes associated with osteogenesis in both MSPC subsets. We also noted a decrease in the frequency of arteriolar vascular endothelial cells, which are typically maintained by osteo-primed MSPCs (Shen et al. Nature 2021). Moreover, we curated transcription factor (TF) regulon signatures on our dataset with SCENIC (Aibar et al. Nat. Med. 2017) and found that DOX-treated mice had a significant decrease in the activity of TFs promoting osteogenesis. Finally, RNA velocity-based lineage trajectory inference (Bergen et al. Nat. Biotechnol. 2020) revealed impaired transition of MSPCs towards the osteogenic lineage. These results indicate that the DOX-mediated MSPC dysfunction is caused by long-term transcriptional rewiring of MSPCs. Collectively, our results demonstrate that DOX disrupts MSPC differentiation trajectories through permanent molecular reprogramming, resulting in impaired osteogenesis and enduring skeletal defects. Our current work aims to investigate the role of inflammation in DOX-mediated MSPC dysfunction. We anticipate that when completed, this study will elucidate the mechanisms underlying chemotherapy-induced osteotoxicity and facilitate the development of strategies to enhance skeletal health in cancer survivors.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.017
GPT teacher head0.254
Teacher spread0.237 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations0
Published2024
Admission routes1
Has abstractyes

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