Evidence map›Paper›PMID 39604642›Full record

ReviewAAPS PharmSciTech2024

Advancements in Exosome Proteins for Breast Cancer Diagnosis and Detection: With a Focus on Nanotechnology.

Mohamed J Saadh, Afrah Majeed Ahmed Al-Rihaymee, Mandeep Kaur, Abhishek Kumar, Ahmed Faisal Mutee, Ghufran Lutfi Ismaeel, Shirin Shomurotova, Mahmood Hasen Shuhata Alubiady, Hamza Fadhel Hamzah, Zainab Abbas Abd Alhassan and 3 more

Abstract readReview
PubMed Publisher
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
  4. Review
4 · The record

Corrections and comments

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

13 authors.

Mohamed J SaadhFaculty of Pharmacy, Middle East University, Amman, 11831, Jordan. mstfhamdoo@gmail.com.ORCID http://orcid.org/0009-0009-7460-6359
Afrah Majeed Ahmed Al-RihaymeeAnesthesia Techniques Department, College of Health and Medical Techniques, Al-Mustaqbal University, Babylon, 51001, Iraq.
Mandeep KaurDepartment of Chemistry, School of Sciences, Jain (Deemed-to-be) University, Bengaluru, 560069, Karnataka, India.
Abhishek KumarSchool of Pharmacy-Adarsh Vijendra Institute of Pharmaceutical Sciences, Shobhit University, Gangoh, 247341, Uttar Pradesh, India.
Ahmed Faisal MuteeCollege of Pharmacy, Alnoor University, Mosul, Iraq.
Ghufran Lutfi IsmaeelDepartment of Pharmacology, College of Pharmacy, University of Al-Ameed, Karbala, Iraq.
Shirin ShomurotovaDepartment of Chemistry Teaching Methods, Tashkent State Pedagogical University named after Nizami, Bunyodkor street 27, Tashkent, Uzbekistan.
Mahmood Hasen Shuhata AlubiadyDepartment of pharmacy, Al-Hadi University College, Baghdad, 10011, Iraq.
Hamza Fadhel HamzahDepartment of Medical Laboratories Technology, AL-Nisour University College, Baghdad, Iraq.
Zainab Abbas Abd AlhassanDepartment of pharmacy, Mazaya university college, Annasiriyah, Iraq.
Tuqa S AlazzawiCollage of Dentist, National University of Science and Technology, Dhi Qar, 64001, Iraq.
Khursheed MuzammilDepartment of Public Health, College of Applied Medical Sciences, King Khalid University, Khamis Mushait Campus, Abha, 62561, Saudi Arabia.
Merwa AlhadrawiDepartment of Refrigeration and air Conditioning Techniques, College of Technical Engineering, The Islamic University, Najaf, Iraq.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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

Breast NeoplasmsExosomesNanotechnologyBiomarkers, TumorFemaleHumansMachine LearningBiomarkers, Tumorbiomarkersbreast cancerdetectiondiagnosisexosomes

Identifiers

PMID39604642

What Socratic holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.