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Record W2412748816 · doi:10.1177/1934578x1400900529

<i>Hedyotis diffusa</i> Water Extract Diminished the Cytotoxic Effects of Chemotherapy Drugs against Human Breast Cancer MCF7 Cells

2014· article· en· W2412748816 on OpenAlexafffund
Qiulin Dong, Binbing Ling, Bosong Gao, Jason Maley, Ramaswami Sammynaiken, Jian Yang

Bibliographic record

VenueNatural Product Communications · 2014
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPhytochemistry and Biological Activities
Canadian institutionsUniversity of Saskatchewan
FundersCancer Research Society
KeywordsTraditional medicineDocetaxelPharmacologyDoxorubicinChemotherapyMedicineAlkaloidCancerIsoflavonoidAnthraquinonesMCF-7Breast cancerCancer cellFlavonoidHuman breastChemistryBiologyInternal medicineBotanyAntioxidantBiochemistryStereochemistry

Abstract

fetched live from OpenAlex

Hedyotis diffusa is a Chinese herbal medicine widely used in combination with other herbal medicines such as Scutellaria barbata to treat various types of cancer. Late-stage and recurrent cancer patients usually use H. diffusa during chemotherapy in expecting to achieve additive or synergistic therapeutic effects. Several classes of active ingredients, including anthraquinones, iridoid glucosides and stigmasterols. have been isolated and characterized from H. diffusa. In the current study, we isolated alkaloid/flavonoid from H diffusa and showed that the crude alkaloid/flavonoid extract rather than its three major components possessed antitumor activity against human breast cancer cell line MCF7. Co-administration of H. diffusa water extract diminished the cytotoxicities of chemotherapy drugs doxorubicin, cyclophosphamide and docetaxel towards the MCF7 cells, implicating that H. diffusa should not be used during breast cancer chemotherapy.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

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)0.0020.000

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 head0.011
GPT teacher head0.236
Teacher spread0.225 · 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 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

Citations16
Published2014
Admission routes2
Has abstractyes

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Same venueNatural Product CommunicationsSame topicPhytochemistry and Biological ActivitiesFrench-language works237,207