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Record W2115457381

Anticancer Activity of Oldenlandia Diffusa & Viola Philippica Car

2013· article· en· W2115457381 on OpenAlexvenueno aff
Wen Deng, Bo Hu, Chun‐Ling Dai, Yijun Wang, Hai-Fan Chen, S. William Zito, Liwu Fu, Zhe‐Sheng Chen

Bibliographic record

VenueJournal of cancer research updates · 2013
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicNatural product bioactivities and synthesis
Canadian institutionsnot available
Fundersnot available
KeywordsCytotoxicityMTT assayCytotoxic T cellTraditional medicineCell cultureChemistryCancer cell linesCancer cellIn vitroMultiple drug resistancePharmacologyCancerBiologyBiochemistryMedicine
DOInot available

Abstract

fetched live from OpenAlex

Abstract: Oldenlandia diffusa (OD, Bai Hua She She Cao) and Viola philippica Car. (VPC, Zi Hua Di Ding) are both commonly used traditional Chinese medicine (TCM). Although studies have demonstrated their anticancer activities on cancer cells both in vitro and in vivo , no systematic reports were carried out. The objective of this study was to examine their cytotoxic activities in vitro. We used the ethanol extracts of these two herbs and examined their cytotoxic effect on four cancer cell lines and two non-cancer cell lines using an MTT cytotoxicity assay. The results showed that the ethanol extracts of OD and VPC effectively inhibited the growth of all the cancer cell lines, particularly MiaPacA-2 cancer cells. Significantly less cytotoxicity was observed in non-cancer cell line NIH3T3. We also tested the drug sensitivity of OD and VPC in a P-glycoprotein (P-gp) overexpressing multidrug resistant cell line KB-C2. Our results showed that OD and VPC can potently inhibit the growth of KB-C2 cells. Therefore, this study has revealed the remarkable anticancer activity of these two TCMs. To the best of our knowledge, this is the first report that shows potential anticancer activity in multidrug resistant cells in extracts of OD and VPC using scientific methods of evaluation.

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)0.001
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 score0.033
Threshold uncertainty score0.412

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.025
GPT teacher head0.355
Teacher spread0.330 · 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
Published2013
Admission routes1
Has abstractyes

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