MétaCan
Menu
Back to cohort

Notch2 expression in association with pancreatic cancer stem cells

2011· article· en· W2257341702 on OpenAlexaff
Zhuchao Zhou, Qiang Dong, Quan Xing Ni

Bibliographic record

VenueTumori · 2011
Typearticle
Languageen
FieldMedicine
TopicCancer Cells and Metastasis
Canadian institutionsPancreas Centre (Canada)
Fundersnot available
KeywordsHomeobox protein NANOGPancreatic cancerPDX1Stem cellBiologyCancer stem cellEmbryonic stem cellCancer researchMolecular biologyTranscription factorInduced pluripotent stem cellCell biologyCancerGeneGenetics

Abstract

fetched live from OpenAlex

Objective: To isolate and identify the pancreatic cancer stem cells based on surface marker Notch2.  Methods: The Notch2+ cells in pancreatic cancer Bxpc-3 and Panc-1 cells were separated by magnetic activated cell sorting (MACS) technique. The tumorigenic potent of these cells was evaluated via transplantation of the cells into NOD-SCID mice. Notch2+ cells were cultured with serum-free medium to detect the tumorsphere formation ability. The expressions of stem cell-related markers—octamer-binding transcription factor 4 (Oct4), Nanog and pancreatic stem cell marker pancreatic and duodenal homeobox 1 (PDX1) in the isolated cells were measured by immunofluorescent staining. The K-ras mutation was detected by DNA sequencing technology.  Results: The Notch2+ cells possessed a markedly tumorigenic ability. The positive expressions of core transcription factors (Oct4, Nanog and PDX1) of embryonic stem cells were observed in these Notch2+ cells. The Notch2+ cells were able to form spheres when cultured in serum-free medium. K-ras mutations were found in these cells.  Conclusion: The Notch2+ cells in human pancreatic cancer Bxpc-3 and Panc-1 cells exhibit the properties of cancer stem cells. DOI:10.3781/j.issn.1000-7431.2011.08.006

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.721
Threshold uncertainty score0.475

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 head0.028
GPT teacher head0.251
Teacher spread0.222 · 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.

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

Citations0
Published2011
Admission routes1
Has abstractyes

Explore more

Same venueTumoriSame topicCancer Cells and MetastasisFrench-language works237,207