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Neural Stem Cell Biology May Be Well Suited for Improving Brain Tumor Therapies

2003· review· en· W2018831921 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueThe Cancer Journal · 2003
Typereview
Languageen
FieldNeuroscience
TopicNeurogenesis and neuroplasticity mechanisms
Canadian institutionsVancouver General HospitalUniversity of British Columbia
Fundersnot available
KeywordsNeural stem cellCentral nervous systemBiologyNeuroscienceNervous systemBrain tumorGliomaRegeneration (biology)Cancer researchStem cellPathologyMedicineCell biology

Abstract

fetched live from OpenAlex

Neural stem cells (NSCs) are capable of tremendous migratory potential to areas of pathology in the central nervous system. When implanted into a diseased or injured nervous system, NSCs can travel through great distances to and engraft within areas of discrete as well as diffuse abnormalities. Engraftment is often followed by integration into the local neural milieu, accompanied by stable gene expression from the NSCs. In addition, the pluripotency of NSCs endows them with the capability to replace diseased tissues in an appropriate manner. Recent evidence has also suggested that engrafted exogenous NSCs may have effects on the surrounding microenvironment, such as promoting protection and/or regeneration of host neural pathways. These characteristics of NSCs would seem to make them ideal agents for the treatment of various central nervous system pathologies, especially brain tumors. Brain tumors are generally difficult to treat because of the unique location of the lesions. In primary gliomas, the extensive infiltrative nature of the tumor cells presents a challenge for their effective and total eradication, hence the high rate of treatment failure and disease recurrence. In addition, normal brain structures are distorted and are often destroyed by the growing neoplasm. Even with effective therapy to surgically resect and destroy the neoplastic tissues, the brain is still injured, which often leaves the patient in a debilitated state. The unique ability of NSCs to "home in" on tumor cells followed by the delivery of a desired gene product makes the NSC a very promising agent in brain tumor therapy. Cytolytic viruses and genes coding for anti-tumor cytokines, pro-drug converting enzymes, and various neurotrophic factors have all been engineered into engraftable NSCs for delivery to tumors. When they are specially tagged, such injected NSCs can be visualized with the use of novel imaging techniques and tracked in vivo within living animals over real time. If the NSCs were also capable of participating in the subsequent repair and regeneration of the tumor-afflicted brain-at present a potential but as-yet-unproven aspect of this intervention-then its role in abetting anti-tumor therapy would be complete. It is important to emphasize, however, that the use of NSCs is adjunctive and is not a replacement for other therapies that should be used in parallel.

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.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.953
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.113
GPT teacher head0.346
Teacher spread0.233 · 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