Abstract 107: Mechanism of anticancer activity of BPS-001 (lyophilized leech saliva extract)
Bibliographic record
Abstract
Abstract Recent studies, investigating the composition and therapeutic potential of leech saliva have identified many peptides and proteins with multiple therapeutic properties including anti-thrombotic, antimicrobial and anti-metastatic. In vitro anti-cancer effects were shown in breast, prostate and lung cells lines. In vivo anticancer activity of the extract was shown in multiple breast and prostate cancer xenografts studied by our lab. In our previous studies, BPS-001 was non-toxic and demonstrated various activities including pro-apoptotic properties, inhibition of cellular adhesion, angiogenesis and downregulation of AR expression. To investigate the affected pathways, mechanistic studies were carried out using in vivo and in vitro treated samples. Protein expression in samples was determined by Western blotting of in vitro and in vivo samples. AR expression was measured using an eGFP reporter assay in LNCaP cells, with PSA also measured in the media using cobas e 411 analyzer. BPS-001 inhibited Proteinase Activated Receptor 1 (PAR-1) which is responsible for hormone like cellular signals in different cancer cells including those of the breast and prostate. Moreover, in LNCaP cells AR activation and PSA expression were significantly inhibited after treatment with BPS-001. Inhibition of PI3K and PLCG2 were also observed. It has been found that BPS-001 modulates a plethora of pathways which makes it a very promising candidate for treatment of cancer with an important advantage of low toxicity and potential resistance. Citation Format: Amr Ammar, Emma Guns, Omer Kucuk, Abdualrahman Abdualkader, Mohamed Alaama, A.B.M. Helal Uddin, Abbas Ghawi, Mohamed Hassona. Mechanism of anticancer activity of BPS-001 (lyophilized leech saliva extract) [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2017; 2017 Apr 1-5; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2017;77(13 Suppl):Abstract nr 107. doi:10.1158/1538-7445.AM2017-107
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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) | 0.005 | 0.001 |
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".