Regulation of Hypoxia-inducible Factor-1α and Vascular Endothelial Growth Factor Signaling by Plant Flavonoids
Bibliographic record
Abstract
Discovery of novel drugs that are able to prevent angiogenesis is a fast growing branch of cancer research. Current approaches to cancer chemotherapy include the use of alkylating agents, antimetabolites, antitumor antibiotics, platinum analogs and drugs derived from natural compounds. However, most of the currently used chemotherapeutic drugs have adverse side effects on normal healthy cells. In addition to the classical targets of cancer chemotherapy, prevention of angiogenesis through the regulation of indigenous angiogenic factors is a leading approach of developing selective novel anticancer drugs. Because of their low toxicity, there is increasing interest in exploring specific dietary phytochemicals as possible antiangiogenic agents. In this mini-review, selected flavonoids (e.g., apigenin, luteolin, quercetin and epigallocatechin-3-gallate, which are a group of plant polyphenols) that are able to regulate angiogenesis in in vitro and in vivo systems are discussed in the light of their potential to be exploited as novel anticancer drugs.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".