ReviewAAPS PharmSciTech2024
Advancements in Exosome Proteins for Breast Cancer Diagnosis and Detection: With a Focus on Nanotechnology.
Review in AAPS PharmSciTech, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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
4 citing papers in PubMed.
- Empowering women's health with miRNA-integrated nanochemical approaches: from reproductive health to cancer care.RSC advances · 2026Review
- Extracellular Vesicles Derived from Breast Cancer Cells: Emerging Biomarkers of Tumor Progression and Metastasis.Biomolecules · 2025Review
- The impact of liquid biopsy in breast cancer: Redefining the landscape of non-invasive precision oncology.The journal of liquid biopsy · 2025Review
- Exosomes in Precision Oncology and Beyond: From Bench to Bedside in Diagnostics and Therapeutics.Cancers · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
13 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Breast cancer, a leading cause of mortality among women, has been recognized as requiring improved diagnostic methods. Exosome proteins, found in small extracellular vesicles, have emerged as a promising solution, reflecting the state of their cell of origin and playing key roles in cancer progression. This review examines their potential in breast cancer diagnosis, discussing advanced isolation and characterization techniques such as ultracentrifugation and microfluidic-based approaches. Various detection methods-including electrochemical, nano-based, optical, and machine learning platforms-were evaluated for their high sensitivity, specificity, and non-invasive capabilities. Electrochemical methods were used to identify unique protein signatures for rapid, cost-effective diagnosis, while machine learning enhanced the classification of exosome proteins. Nano-based techniques leveraged nanomaterials to detect low-abundance proteins, and optical methods offered real-time, label-free monitoring. Despite their promise, challenges in standardizing protocols and integrating these diagnostics into clinical practice remain. Future directions include technological advancements, personalized medicine, and exploring the therapeutic potential of exosome proteins.
Indexed as
Identifiers
39604642What Socratic 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 Socratic graph.