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Record W2001823769 · doi:10.4161/cbt.3.2.663

Neosis: A Novel Type of Cell Division in Cancer

2004· article· en· W2001823769 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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueCancer Biology & Therapy · 2004
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicMicrotubule and mitosis dynamics
Canadian institutionsDalhousie University
FundersDalhousie University
KeywordsMitosisBiologyCytokinesisCarcinogenesisCancer cellMultinucleateMitotic catastropheCell divisionCell biologyCellCancer researchCell cultureCancerGenetics

Abstract

fetched live from OpenAlex

Using computerized video time-lapse microscopy, we studied early cellular events during carcinogen-induced transformation of C3H10T1/2 cells. Multinucleate/polyploid giant cells (MN/PGs) formed due to DNA damage are thought to die via mitotic catastrophe. Before they die, some MN/PGs undergo a novel type of cell division, termed neosis, characterized by karyokinesis via nuclear budding followed by asymmetric, intracellular cytokinesis, producing several small mononuclear cells, termed the Raju cells, with extended mitotic life span (MLS). Mitotic derivatives of Raju cells give rise to transformed cell lines, inherit genomic instability, display a phenotype and transcriptome different from the neosis mother cell, and anchorage-independent growth. Neosis of MN/PGs also precedes spontaneous transformation of p53-/- mouse cells. Rodent neotic clones, and primary and metastatic human tumor cells undergo spontaneous or induced secondary/tertiary neosis. Neosis seems to extend the MLS of cells under conditions of genetic duress not favoring mitosis. It precedes tumorigenesis, occurs several times during tumor progression, yielding tumor-initiating Raju cells and introducing tumor cell heterogeneity subject to natural selection during tumor progression. Events during neosis, and its relevance to origin of established cell lines, multistep carcinogenesis, cancer stem cells, and therapeutic advantages of anti-neotic agents (neosicides) are discussed.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.023
Threshold uncertainty score0.446

Codex and Gemma teacher scores by category

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 communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.023
GPT teacher head0.312
Teacher spread0.289 · 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