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Record W2552678756 · doi:10.1182/blood.v110.11.547.547

A Unique Pre-Clinical Model Providing Access to a Drug Resistant Population within the Multiple Myeloma Stem Cell Niche in a Novel 3-D Culture System for Bone Marrow.

2007· article· en· W2552678756 on OpenAlexaff
Julia Kirshner, Kyle J. Thulien, L. Martin, Carina Debes Marun, Tony Reiman, Andrew R. Belch, Linda M. Pilarski

Bibliographic record

VenueBlood · 2007
Typearticle
Languageen
FieldMedicine
TopicMultiple Myeloma Research and Treatments
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsBone marrowStromal cellHaematopoiesisStem cellBiologyclone (Java method)Progenitor cellTumor microenvironmentPopulationCancer researchImmunologyCell biologyPathologyMedicineImmune system

Abstract

fetched live from OpenAlex

Abstract Bone marrow (BM), a site of hematopoiesis, is a multicellular tissue with a complex architecture. Multiple myeloma (MM) is an incurable plasma cell malignancy where even patients in remission succumb to an inevitable relapse. While considerable progress has been made towards understanding and treating MM, to date, there is no culture system which can recapitulate the complex interactions within the BM microenvironment. Current failure to grow the MM clone within the context of human microenvironment hampers progress into the understanding of the biology of MM and design of biologically relevant therapies. Here we present an in vitro three-dimensional (3-D) tissue culture model which recapitulates the human BM microenvironment allowing for the growth and expansion of the MM clone. Cells from the BM aspirates are grown in a fibronectin, laminin and collagen rich ECM designed to reconstruct in vitro endosteum and central marrow, mimicking the in vivo microenvironment of the BM. Proliferation and redistribution of cells within reconstructed ECM results in stratification of the culture, mimicking the in vivo condition where cells occupy individual niches. Cellular composition of the culture is maintained in accordance with the proliferation properties of the BM where osteoblasts, osteoclasts, adipocytes and stromal cells differentiate along with the full complement of the hematopoietic cells. BM cultures from normal donors are well-organized with osteoclasts and hematopoietic cells occupying distinct positions in the ECM. In contrast, reconstructed BM from MM patients is disorganized in 3-D where osteoclasts intermingle with the hematopoietic compartment. The MM malignant clone is expanded in 3-D cultures as measured by real-time quantitative PCR (rqPCR) for genomic clonotypic VDJ sequences. Malignant B and plasma cells proliferate in these cultures and FISH analysis reveals that their progeny harbor chromosomal abnormalities identical to those that mark the malignant clone prior to culture. Preclinical testing of emerging therapeutics targeted for multiple myeloma is hindered by the failure of the current models to sustain growth of the myeloma clone. In the 3-D culture, myeloma clone expands within its native environment providing an ideal preclinical model where conventional (Melphalan) and novel (Velcade) therapeutics efficiently and selectively kill their target cells. In the 3-D BM culture model, non-proliferating, label retaining cells (LRC) concentrate at a putative endosteum-marrow junction, where hematopoietic stem cells have been shown to localize in vivo, suggesting that the drug-resistant myeloma stem cells localize to the endosteal niche. In a colony-forming assay, drug-resistant LRC purified from the 3-D cultures form clonal colonies composed of malignant cells with patient specific clonotypic VDJ sequences. Recapitulation of the BM architecture in vitro is a first step towards the identification and therapeutic targeting of the elusive myeloma stem cell.

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 score0.003
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
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.060
GPT teacher head0.359
Teacher spread0.298 · 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".

Quick stats

Citations1
Published2007
Admission routes1
Has abstractyes

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