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Record W2133192063 · doi:10.1517/14712598.8.4.463

Oncolytic virotherapy for multiple myeloma

2008· review· en· W2133192063 on OpenAlexaff
Amaalia E Stief, J. Andrea McCart

Bibliographic record

VenueExpert Opinion on Biological Therapy · 2008
Typereview
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicVirus-based gene therapy research
Canadian institutionsUniversity Health NetworkMount Sinai HospitalToronto General HospitalUniversity of TorontoOntario Institute for Cancer Research
Fundersnot available
KeywordsOncolytic virusVirotherapyMultiple myelomaMedicineCancer researchVirologyImmunologyTumor cells

Abstract

fetched live from OpenAlex

BACKGROUND: Current therapies for multiple myeloma (MM) are not curative, thus novel targeted therapeutics are being developed. One such targeted therapy is oncolytic virotherapy, wherein viruses specifically infect and kill the malignant plasma cells, leaving normal cells intact. OBJECTIVE: This review provides an overview of the mechanisms and results of the oncolytic viruses being used to date and discusses the recent advances in the field of virotherapy for MM. METHODS: All papers using viruses to treat MM were identified and screened. Only papers describing replicating, oncolytic viruses were reviewed. RESULTS/CONCLUSIONS: Several viruses are currently being developed preclinically and clinically to treat MM, including measles virus, vesicular stomatitis virus, coxsackievirus A21 and vaccinia virus. Other viruses are being used preclinically to purge myeloma cells from autologous bone marrow transplants. Efforts to improve myeloma-specific targeting, avoid the antiviral immune response and evaluate combination therapies for MM are ongoing.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.981
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.195
GPT teacher head0.438
Teacher spread0.243 · 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 teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreReview

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

Citations15
Published2008
Admission routes1
Has abstractyes

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