Evidence map›Paper›PMID 39955575›Full record

ArticleBMC complementary medicine and therapies2025

Computational development of mushroom-6-glucan/paclitaxel as a synergistic complementary medicine for breast cancer therapy.

Nehal M El-Deeb, Omar M Ibrahim, Ayman M Kamel, Ahmed I Gomaa, Ahmed M Kenawy

Abstract read
In one paragraph

Article in BMC complementary medicine and therapies, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Nehal M El-Deeb *Pharmaceutical Bioproducts Research Department, Genetic Engineering and Biotechnology Research Institute (GEBRI), City of Scientific Research and Technological Applications (SRTA-City), New Borg El- Arab City, Alexandria, Egypt. neldeeb@uottawa.ca.
Omar M Ibrahim *Department of Medicine and McDonnell Genome Institute, Washington University School of Medicine, St. Louis, MO, 63110, USA. oibrahim@buffalo.edu.
Ayman M KamelPharmaceutical Sciences Division, Medicinal and Aromatic Plants Department, National Research Centre, Cairo, Egypt.
Ahmed I GomaaNational Research Center, Nutrition and Food Science Department, Doki, Giza, Egypt.
Ahmed M KenawyNucleic Acids Research Department, Genetic Engineering and Biotechnology Research Institute, City of Scientific Research and Technological Applications (SRTA-City), New Borg El-Arab City, Alexandria, Egypt.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBreast cancer is chemo-resistant and highly metastatic, often resulting in patient mortality. One of the primary factors contributing to the metastasis and chemotherapy resistance is the presence of cancer stem-like cells. We posited that the natural polysaccharide known as 6-glucans, derived from Pleurotus ostreatus, could effectively counteract the chemotherapy resistance associated with cancer stem-like cells in breast cancer.

methodsWe computationally developed a specific dual combinatorial therapy involving 6-glucans and Paclitaxel (PTX) and tested on preclinical 3D mammosphere human tumor models representing receptor-positive and receptor-negative breast cancer. Using this preclinical 3D spheroid technology, we tested the anti-cancer properties of these predicted treatment combinations on mammospheres containing human breast cancer stem cells.

resultsAmong the 40 distinct combinations examined, computational prediction revealed that the addition of 2.0 mg/mL of 6-glucans to a low dose of 3.0 µg/mL PTX was the sole combination demonstrating a synergistic effect. This optimized synergistic combination therapy displayed a significant inhibitory impact on human cancer epithelial and stem cell migration, evasion, and colony formation. The inclusion of 6-glucans also augmented apoptosis in both breast cancer cells and stem cells, leading to a six-fold reduction in BrdU labeled cells and an increased arrest of cells in the sub-G0 phase. These effects were mediated through mitochondrial dysfunction and the downregulation of associated oncogenes.

conclusionOur study revealed that the computationally predicted 6-glucans-based binary complementary medicine exhibited sequence- and concentration-dependent anticancer synergistic effects.

Indexed as

Breast NeoplasmsGlucansPaclitaxelPleurotusApoptosisCell Line, TumorComplementary TherapiesDrug SynergismFemaleHumansNeoplastic Stem CellsGlucansPaclitaxel6-glucansCancer targetingChemoresistancePaclitaxelPolysaccharides

Identifiers

PMID39955575
PMCPMC11830196

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.