ArticleSmall (Weinheim an der Bergstrasse, Germany)2024
Personalized Versus Precision Nanomedicine for Treatment of Ovarian Cancer.
Article in Small (Weinheim an der Bergstrasse, Germany), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
10 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Advances in Nanotechnology in the Diagnosis and Treatment of Gynecological Cancers.International journal of nanomedicine · 2025Pooled it
- Recent advances in cancer nanomedicine: From smart targeting to personalized therapeutics - pioneering a new era in precision oncology.Materials today. Bio · 2026Review
- Translational Progress of Inorganic Nanotheranostic Platforms for Gynecologic Malignancies: A Narrative Review of Endometrial, Ovarian, and Cervical Cancer Focusing on Fertility Preservation, Biosafety, and Industrial Translation.International journal of nanomedicine · 2026Review
- Nanomedicine in Ovarian Cancer: Advances in Imaging, Targeted Delivery, and Theranostic Therapeutic Platforms.Cancers · 2025Review
- Luteinizing Hormone-Releasing Hormone (LHRH)-Targeted Treatment in Ovarian Cancer.International journal of molecular sciences · 2025Review
- Synergistic Cancer Therapies Enhanced by Nanoparticles: Advancing Nanomedicine Through Multimodal Strategies.Pharmaceutics · 2025Review
- Nanotechnology-based drug delivery system for the diagnosis and treatment of ovarian cancer.Discover oncology · 2025Review
- Review
- Nanotechnology-Based Strategy for Enhancing Therapeutic Efficacy in Pancreatic Cancer: Receptor-Targeted Drug Delivery by Somatostatin Analog.International journal of molecular sciences · 2024Article
- Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
The response to treatment is substantially varied between individual patients with ovarian cancer. However, chemotherapy treatment plans rarely pay sufficient attention to the mentioned factors. Instead, standardized treatment protocols are usually employed for most ovarian cancer patients. Variations in an individual's sensitivity to drugs significantly limit the effectiveness of treatment in some patients and lead to severe toxicities in others. In the present investigation, a nanotechnology-based approach for personalized treatment of ovarian carcinoma (the most lethal type of gynecological cancer) constructed on the individual genetic profile of the patient's tumor is developed and validated. The expression of predefined genes and proteins is analyzed for each patient sample. Finally, a mixture of the complex nanocarrier-based targeted delivery system containing drug(s)/siRNA(s)/targeted peptide is selected from the pre-synthesized bank and tested in vivo on murine cancer model using cancer cells isolated from tumors of each patient. Based on the results of the present study, an innovative approach and protocol for personalized treatment of ovarian cancer are suggested and evaluated. The results of the present study clearly show the advantages and perspectives of the proposed individual treatment approach.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.