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Bufalin Induces Apoptosis of MDA-MB-231 Cell Through Activation of JNK/p53 Pathway

2015· article· en· W1581059395 on OpenAlexvenueno aff
Jianyang Hu, Minfeng Chen, Xueping Lei, Zhenjian Zhuo, Haiyan Sun, Zhe‐Sheng Chen, Zhi Shi, Dongmei Zhang, Wen‐Cai Ye

Bibliographic record

VenueJournal of cancer research updates · 2015
Typearticle
Languageen
FieldPharmacology, Toxicology and Pharmaceutics
TopicBioactive Compounds and Antitumor Agents
Canadian institutionsnot available
Fundersnot available
KeywordsBufalinApoptosisMAPK/ERK pathwayChemistryCancer researchCancerBreast cancerPharmacologyInternal medicineKinaseBiologyMedicineBiochemistry

Abstract

fetched live from OpenAlex

Cinobufacini has been widely used at oncology clinics in China to treat many kinds of cancers and bufalin is one active compound of it, but the anti-cancer effect and the underlying mechanisms of bufalin on breast cancer cells are still unclear. Our study demonstrated that bufalin could effectively decrease the viability of MDA-MB-231 cells with IC50 values of 152.2 ± 8.0 nM for 24 h and 22.4 ± 2.3 nM for 48 h, respectively. Further study showed that bufalin could trigger MDA-MB-231 cells to undergo apoptosis with up-regulating protein expression of p-JNK/JNK, p53, p-ERK/ERK, Puma and down-regulating protein expression of Bcl-2, supporting the possible application of bufalin to breast cancer treatment.

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)0.002
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 score0.029
Threshold uncertainty score0.628

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
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 integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.440
GPT teacher head0.555
Teacher spread0.114 · 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

Citations1
Published2015
Admission routes1
Has abstractyes

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