Abstract 3795: Investigate the mechanism of actions of flavonoid dimers in reversing doxorubicin resistance in breast cancer stem cells
Bibliographic record
Abstract
Abstract Drug resistance, radioresistance and metastasis are the biggest hurdle in effective cancer treatment. Recent studies suggest that these problems might be caused by the presence of cancer stem cells (CSCs). CSCs are a small group of cells which can self-renew, remain undifferentiated, resist to cancer drugs and radiotherapy. It can be predicted that selective killing of CSCs may lead to tutor regression and may be a new therapeutic solution. Naturally occurring flavonoids are weakly active in inhibiting ABC transporter leading to drug accumulation in cancer cells. We have been working on the design, synthesis and characterisation of novel flavonoid dimers that can be used to reverse drug resistance in cancer cells. We recently discovered that a new class of triazole-linked flavonoid dimers 13_9 and 15_2 were effective in reversing drug resistance in CD44+CD24-/low MCF7 breast cancer stem cells at an effective concentration of less than 32 nM. Our studies suggested that a novel mechanism was involved which is independent of ABC transporters. To determine the mechanism behind, we have designed and synthesised a photoactivatable derivative of 13_9 (13_9X2) to identify the protein target(s). 13_9X2 contains a photoactivating functional group which can capture the target protein by forming a covalent bond under UV irradiation and a clickable functional group which can be used for pull-down and further identification using mass spectrometry. One candidate target is peroxiredoxin 1 (PRDX-1) which is a reactive oxygen species (ROS) scavenger. We hypothesise that CSCs are resistant to doxorubicin-induced ROS damage by overexpressing PRDX-1. By binding and disrupting PRDX-1, 13_9 and 15_2 reduce ROS scavenging ability of PRDX-1, resulting in the reversal of drug resistance in CSCs. This work provides new insights into the mechanisms of cell signalling regulation of cancer cell resistance in breast CSCs and provides a better understanding of how flavonoid dimers reverse drug resistance in CSCs. Additionally, this work contributes to the development of new anticancer drugs which can sensitize CSCs to current chemotherapy. Citation Format: Gege Sun, Iris L. Wong, Jiahua Cui, Zhen Liu, Bill T. Chan, Larry M. Chow. Investigate the mechanism of actions of flavonoid dimers in reversing doxorubicin resistance in breast cancer stem cells [abstract]. In: Proceedings of the Annual Meeting of the American Association for Cancer Research 2020; 2020 Apr 27-28 and Jun 22-24. Philadelphia (PA): AACR; Cancer Res 2020;80(16 Suppl):Abstract nr 3795.
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 imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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 | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 source (direct Gemma or distilled Codex), 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".