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In Situ Neuroblastoma: The Intriguing “Tumor” of Neuroectodermal Origin and the Putative Cancer Stem Cells

2023· book-chapter· en· W4322740492 on OpenAlexafffund
Consolato Sergi

Bibliographic record

VenueExon Publications eBooks · 2023
Typebook-chapter
Languageen
FieldMedicine
TopicNeuroblastoma Research and Treatments
Canadian institutionsChildren's Hospital of Eastern OntarioUniversity of OttawaUniversity of Alberta
FundersHubei UniversityCanadian Institutes of Health ResearchCancer Research SocietyHubei University of TechnologyAustrian Science FundWomen and Children's Health Research InstituteCancer Research Institute
KeywordsNeuroblastomaNeuroblastChromogranin ABiologyPathologyCancer stem cellStem cellCancer researchNeoplasmMedicineCell biologyImmunohistochemistryCell cultureGeneticsNeurogenesis

Abstract

fetched live from OpenAlex

Neuroblastoma is the most prevalent solid tumor encountered outside of the central nervous system in infancy. It is considered an embryonal tumor arising from pluripotent sympathetic cells called neuroblasts with characteristic neurosecretory granules. They are positive for chromogranin A, and are double membrane bounded ultra-structurally. In rare occurrences, it can be identified at neonatal age or at very early infancy. In situ labelling of neuroblastoma has been used, but there is a remarkable controversy around it, because most of these clusters of neuroblastic cells do not exhibit a neoplastic potential. These clusters often regress, and these pediatric patients should not receive chemotherapy. This chapter reviews the challenges of this tumor and report on the heterogeneity of this kind of pediatric neoplasm with a focus on putative cancer stem cells.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.009
Threshold uncertainty score0.029

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 communication0.0010.001
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0090.004

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 head0.044
GPT teacher head0.306
Teacher spread0.262 · 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 designNot applicable
Domainnot available
GenreOther

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
Published2023
Admission routes2
Has abstractyes

Explore more

Same venueExon Publications eBooksSame topicNeuroblastoma Research and TreatmentsFrench-language works237,207