How Effective are Key Phytocompound Carrying Polysaccharide Nanocarriers as Anti-Breast Cancer Therapy? A Comprehensive Review of the Literature
Bibliographic record
Abstract
Deena Elsori,1 Pratibha Pandey,2 Safia Obaidur Rab,3 Ahmed M Alharbi,4 Samir Sahoo,5 Shivam Pandey,6 Manish Srivastava,7 Sorabh Lakhanpal,8 Mohd Saeed,9 Fahad Khan10 1Faculty of Resilience, Rabdan Academy, Abu Dhabi, United Arab Emirates; 2Research and Innovation Cell, Rayat Bahra University, Mohali-140301, Punjab, India; 3Department of Clinical Laboratory Sciences, College of Applied Medical Sciences, King Khalid University, Abha, Saudi Arabia; 4Department of Medical Laboratory Science, College of Applied Medical Sciences, University of Ha’il, Hail, Saudi Arabia; 5Department of General Medicine, IMS and SUM Hospital, Siksha ‘O’ Anusandhan (Deemed to Be University), Bhubaneswar, Odisha, 751003, India; 6School of Applied and Life Sciences, Uttaranchal University, Dehradun, India; 7Department of Endocrinology, National Institute of Medical Sciences, NIMS University Rajasthan, Jaipur, India; 8School of Pharmaceutical Sciences, Lovely Professional University, Phagwara, Punjab, India; 9Department of Biology, College of Science, University of Hail, Hail, Saudi Arabia; 10Center for Global Health Research, Saveetha Medical College and Hospital, Saveetha Institute of Medical and Technical Sciences, Chennai, Tamil Nadu, IndiaCorrespondence: Fahad Khan, Email fahadintegralian@gmail.comAbstract: Breast cancer continues to be one of the most perilous diseases globally due to the challenges in identifying cost-effective and targeted targets for effective treatment strategies. In response to these unmet demands, much research has focused on investigating the anti-breast cancer properties of natural compounds due to their multi-target modes of action and favorable safety profiles. Numerous extracts of medicinal plants, essential oils, and natural bioactive substances have exhibited anticancer properties in preclinical breast cancer models. Nonetheless, the clinical utilization of therapies based on natural chemicals is constrained by challenges such as inadequate solubility and permeability. Innovative drug delivery systems utilizing nanoparticles are currently being investigated as adaptable solutions to overcome these limitations. Polysaccharide-based nanoparticles exhibit promising biodegradability and biocompatibility, making them suitable for targeted drug delivery systems among the diverse nanocarrier types. Many polysaccharide nanocarriers, including chitosan, hyaluronic acid, cellulose, starch, and complex polysaccharides, have been shown to enhance the bioavailability and therapeutic effectiveness of phytocompounds. This review examines the anticancer properties of phytocompounds and polysaccharide nanocarriers in breast cancer before focusing on the use of polysaccharide-based nanocarriers to deliver phytocompounds for the treatment of breast cancer.Keywords: polysaccharide, phytocompounds, nanocarriers, drug delivery, breast cancer
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".